83 results on '"Pertesi M"'
Search Results
2. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2
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Mulligan, AM, Couch, FJ, Barrowdale, D, Domchek, SM, Eccles, D, Nevanlinna, H, Ramus, SJ, Robson, M, Sherman, M, Spurdle, AB, Wappenschmidt, B, Lee, A, McGuffog, L, Healey, S, Sinilnikova, OM, Janavicius, R, Hansen, TV, Nielsen, FC, Ejlertsen, B, Osorio, A, Muñoz-Repeto, I, Durán, M, Godino, J, Pertesi, M, Benítez, J, Peterlongo, P, Manoukian, S, Peissel, B, Zaffaroni, D, Cattaneo, E, Bonanni, B, Viel, A, Pasini, B, Papi, L, Ottini, L, Savarese, A, Bernard, L, Radice, P, Hamann, U, Verheus, M, Meijers-Heijboer, HEJ, Wijnen, J, Gómez García, EB, Nelen, MR, Kets, CM, Seynaeve, C, Tilanus-Linthorst, MMA, van der Luijt, RB, Os, TV, Rookus, M, Frost, D, Jones, JL, Evans, DG, Lalloo, F, Eeles, R, Izatt, L, Adlard, J, Davidson, R, Cook, J, Donaldson, A, Dorkins, H, Gregory, H, Eason, J, Houghton, C, Barwell, J, Side, LE, McCann, E, Murray, A, Peock, S, Godwin, AK, Schmutzler, RK, Rhiem, K, Engel, C, Meindl, A, Ruehl, I, Arnold, N, Niederacher, D, Sutter, C, Deissler, H, Gadzicki, D, Kast, K, Preisler-Adams, S, Varon-Mateeva, R, Schoenbuchner, I, Fiebig, B, Heinritz, W, Schäfer, D, Gevensleben, H, and Caux-Moncoutier, V
- Abstract
Introduction: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumour.Methods: We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumour, to assess the associations of 12 loci with breast cancer tumour characteristics. Associations were evaluated using a retrospective cohort approach.Results: The results suggested stronger associations with ER-positive breast cancer than ER-negative for 11 loci in both BRCA1 and BRCA2 carriers. Among BRCA1 carriers, single nucleotide polymorphism (SNP) rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele hazard ratio (HR) for ER-positive = 1.35, 95% CI: 1.17 to 1.56 vs HR = 0.91, 95% CI: 0.85 to 0.98 for ER-negative, P-heterogeneity = 6.5 × 10-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER-negative breast cancer risk for both BRCA1 and BRCA2 carriers. In BRCA2 carriers, SNPs in FGFR2, TOX3, LSP1, SLC4A7/NEK10, 5p12, 2q35, and 1p11.2 were significantly associated with ER-positive but not ER-negative disease. Similar results were observed when differentiating breast cancer cases by PR status.Conclusions: The associations of the 12 SNPs with risk for BRCA1 and BRCA2 carriers differ by ER-positive or ER-negative breast cancer status. The apparent differences in SNP associations between BRCA1 and BRCA2 carriers, and non-carriers, may be explicable by differences in the prevalence of tumour subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific risk models may improve clinical management for mutation carriers. © 2011 Mulligan et al.; licensee BioMed Central Ltd.
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- 2011
3. Functional and molecular profiling of hematopoietic stem cells during regeneration
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Rydström, A, Grahn, THM, Niroula, A, Mansell, E, van der Garde, M, Pertesi, M, Subramaniam, A, Soneji, S, Zubarev, R, Enver, T, Nilsson, B, Miharada, K, Larsson, J, Karlssona, S, Rydström, A, Grahn, THM, Niroula, A, Mansell, E, van der Garde, M, Pertesi, M, Subramaniam, A, Soneji, S, Zubarev, R, Enver, T, Nilsson, B, Miharada, K, Larsson, J, and Karlssona, S
- Abstract
Hematopoietic stem cells (HSCs) enable hematopoietic stem cell transplantation (HCT) through their ability to replenish the entire blood system. Proliferation of HSCs is linked to decreased reconstitution potential, and a precise regulation of actively dividing HSCs is thus essential to ensure long-term functionality. This regulation becomes important in the transplantation setting where HSCs undergo proliferation followed by a gradual transition to quiescence and homeostasis. Although mouse HSCs have been well studied under homeostatic conditions, the mechanisms regulating HSC activation under stress remain unclear. Here, we analyzed the different phases of regeneration after transplantation. We isolated bone marrow from mice at 8 time points after transplantation and examined the reconstitution dynamics and transcriptional profiles of stem and progenitor populations. We found that regenerating HSCs initially produced rapidly expanding progenitors and displayed distinct changes in fatty acid metabolism and glycolysis. Moreover, we observed molecular changes in cell cycle, MYC and mTOR signaling in both HSCs, and progenitor subsets. We used a decay rate model to fit the temporal transcription profiles of regenerating HSCs and identified genes with progressively decreased or increased expression after transplantation. These genes overlapped to a large extent with published gene sets associated with key aspects of HSC function, demonstrating the potential of this data set as a resource for identification of novel HSC regulators. Taken together, our study provides a detailed functional and molecular characterization of HSCs at different phases of regeneration and identifies a gene set associated with the transition from proliferation to quiescence.
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- 2023
4. Haplotype analysis reveals that the recurrent BRCA1 deletion of exons 23 and 24 is a Greek founder mutation
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Apostolou, P., Pertesi, M., AleporouMarinou, V., Dimitrakakis, C., Papadimitriou, C., Razis, E., Christodoulou, C., Fountzilas, G., Yannoukakos, D., Konstantopoulou, I., and Fostira, F.
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- 2017
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5. High prevalence of BRCA1 founder mutations in Greek breast/ovarian families
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Konstantopoulou, I, Tsitlaidou, M, Fostira, F, Pertesi, M, Stavropoulou, A-V, Triantafyllidou, O, Tsotra, E, Tsiftsoglou, A P, Tsionou, C, Droufakou, S, Dimitrakakis, C, Fountzilas, G, and Yannoukakos, D
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- 2014
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6. Haplotype analysis of two recurrent genomic rearrangements in the BRCA1 gene suggests they are founder mutations for the Greek population
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Pertesi, M, Konstantopoulou, I, and Yannoukakos, D
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- 2011
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7. Mutations and complex genomic rearrangements in the BRCT domain of the tumor suppresor gene BRCA1: YSF-5
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Armaou, S., Pertesi, M., Konstantopoulou, I., Anagnostopoulos, T., and Yannoukakos, D.
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- 2008
8. Haplotype analysis reveals that the recurrent BRCA1 deletion of exons 23 and 24 is a Greek founder mutation
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Apostolou, P. Pertesi, M. Aleporou-Marinou, V. Dimitrakakis, C. Papadimitriou, C. Razis, E. Christodoulou, C. Fountzilas, G. Yannoukakos, D. Konstantopoulou, I. Fostira, F.
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humanities - Abstract
A recurrent large genomic rearrangement (LGR) encompassing exons 23 and 24 of the BRCA1 gene has been identified in breast-ovarian cancer families of Greek origin. Its breakpoints have been determined as c.5406 + 664_*8273del11052 (RefSeq: NM_007294.3) and a diagnostic polymerase chain reaction (PCR) has been set up for rapid screening. In a series of 2,092 high-risk families completely screened for BRCA1 and BRCA2 germline mutations, we have found the deletion in 35 families (1.68%), representing 7.83% of the mutations identified in both genes and 10.3% of the total BRCA1 mutations. In order to characterize this deletion as a founder mutation, haplotype analysis was conducted in 60 carriers from 35 families, using three BRCA1 intragenic microsatellite markers and four markers surrounding the BRCA1 locus. Our results demonstrate a common shared core disease-associated haplotype of 2.89Mb. Our calculations estimate that the deletion has originated from a common ancestor 1450 years ago, which most probably inhabited the Asia Minor area. The particular (LGR) is the third mutation of such type that is proven to have a Greek founder effect in the Greek population, illustrating the necessity for LGRs testing in individuals of Greek descent. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd
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- 2017
9. Rare Mutations in XRCC2 Increase the Risk of Breast Cancer
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Park, D.J., Lesueur, F., Nguyen-Dumont, T., Pertesi, M., Odefrey, F., Hammet, F., Neuhausen, S.L., John, E.M., Andrulis, I.L., Terry, M.B., Daly, M., Buys, S., Calvez-Kelm, F. le, Lonie, A., Pope, B.J., Tsimiklis, H., Voegele, C., Hilbers, F.M., Hoogerbrugge, N., Barroso, A., Osorio, A., Giles, G.G., Devilee, P., Benitez, J., Hopper, J.L., Tavtigian, S.V., Goldgar, D.E., Southey, M.C., Breast Canc Family Registry, and Kathleen Cuningham Fdn Consortium
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Adult ,Male ,Risk ,Hereditary cancer and cancer-related syndromes Genetics and epigenetic pathways of disease [ONCOL 1] ,Population ,Breast Neoplasms ,Biology ,medicine.disease_cause ,Germline mutation ,Breast cancer ,Report ,Genetics ,medicine ,Humans ,Missense mutation ,Exome ,Genetic Predisposition to Disease ,Genetics(clinical) ,Homologous Recombination ,education ,Genetics (clinical) ,education.field_of_study ,Mutation ,Massive parallel sequencing ,Hereditary cancer and cancer-related syndromes [ONCOL 1] ,Middle Aged ,medicine.disease ,Pedigree ,DNA-Binding Proteins ,Case-Control Studies ,RAD51C ,Female - Abstract
Item does not contain fulltext An exome-sequencing study of families with multiple breast-cancer-affected individuals identified two families with XRCC2 mutations, one with a protein-truncating mutation and one with a probably deleterious missense mutation. We performed a population-based case-control mutation-screening study that identified six probably pathogenic coding variants in 1,308 cases with early-onset breast cancer and no variants in 1,120 controls (the severity grading was p < 0.02). We also performed additional mutation screening in 689 multiple-case families. We identified ten breast-cancer-affected families with protein-truncating or probably deleterious rare missense variants in XRCC2. Our identification of XRCC2 as a breast cancer susceptibility gene thus increases the proportion of breast cancers that are associated with homologous recombination-DNA-repair dysfunction and Fanconi anemia and could therefore benefit from specific targeted treatments such as PARP (poly ADP ribose polymerase) inhibitors. This study demonstrates the power of massively parallel sequencing for discovering susceptibility genes for common, complex diseases.
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- 2012
10. No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing
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Easton, D.F., Lesueur, F., Decker, B., Michailidou, K., Li, J., Allen, J., Luccarini, C., Pooley, K.A., Shah, M., Bolla, M.K., Wang, Q., Dennis, J., Ahmad, J., Thompson, E.R., Damiola, F., Pertesi, M., Voegele, C., Mebirouk, N., Robinot, N., Durand, G., Forey, N., Luben, R.N., Ahmed, S., Aittomaki, K., Anton-Culver, H., Arndt, V., Baynes, C., Beckman, M.W., Benitez, J., Berg, D. van den, Blot, W.J., Bogdanova, N.V., Bojesen, S.E., Brenner, H., Chang-Claude, J., Chia, K.S., Choi, J.Y., Conroy, D.M., Cox, A., Cross, S.S., Czene, K., Darabi, H., Devilee, P., Eriksson, M., Fasching, P.A., Figueroa, J., Flyger, H., Fostira, F., Garcia-Closas, M., Giles, G.G., Glendon, G., Gonzalez-Neira, A., Guenel, P., Haiman, C.A., Hall, P., Hart, S.N., Hartman, M., Hooning, M.J., Hsiung, C.N., Ito, H., Jakubowska, A., James, P.A., John, E.M., Johnson, N., Jones, M., Kabisch, M., Kang, D., Kosma, V.M., Kristensen, V., Lambrechts, D., Li, N., Lindblom, A., Long, J., Lophatananon, A., Lubinski, J., Mannermaa, A., Manoukian, S., Margolin, S., Matsuo, K., Meindl, A., Mitchell, G., Muir, K., Nevelsteen, I., Ouweland, A. van den, Peterlongo, P., Phuah, S.Y., Pylkas, K., Rowley, S.M., Sangrajrang, S., Schmutzler, R.K., Shen, C.Y., Shu, X.O., Southey, M.C., Surowy, H., Swerdlow, A., Teo, S.H., Tollenaar, R.A.E.M., Tomlinson, I., Torres, D., Truong, T., Vachon, C., Verhoef, S., Wong-Brown, M., Zheng, W., Zheng, Y., Nevanlinna, H., Scott, R.J., Andrulis, I.L., Wu, A.H., Hopper, J.L., Couch, F.J., Winqvist, R., Burwinkel, B., Sawyer, E.J., Schmidt, M.K., Rudolph, A., Dork, T., Brauch, H., Hamann, U., Neuhausen, S.L., Milne, R.L., Fletcher, O., Pharoah, P.D.P., Campbell, I.G., Dunning, A.M., Calvez-Kelm, F. le, Goldgar, D.E., Tavtigian, S.V., Chenevix-Trench, G., Australian Ovarian Canc Study Grp, kConFab Investigators, Lifepool Investigators, NBCS Investigators, Luben, Robert N [0000-0002-5088-6343], Apollo - University of Cambridge Repository, Clinical Genetics, Medical Oncology, and Molecular Genetics
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0301 basic medicine ,Bioinformatics ,Medical and Health Sciences ,Cohort Studies ,Breast cancer screening ,0302 clinical medicine ,Medizinische Fakultät ,Missense mutation ,Genetics (clinical) ,Genetics & Heredity ,education.field_of_study ,medicine.diagnostic_test ,Biological Sciences ,Middle Aged ,Fanconi Anemia Complementation Group Proteins ,3. Good health ,ddc ,DNA-Binding Proteins ,030220 oncology & carcinogenesis ,kConFab Investigators ,Female ,RNA Helicases ,Australian Ovarian Cancer Study Group ,Adult ,Risk ,medicine.medical_specialty ,PALB2 ,Population ,European Continental Ancestry Group ,Breast Neoplasms ,NBCS Investigators ,Biology ,Article ,White People ,03 medical and health sciences ,Breast cancer ,SDG 3 - Good Health and Well-being ,Molecular genetics ,Genetics ,medicine ,breast [Cancer] ,Humans ,Genetic Predisposition to Disease ,Genetic Testing ,ddc:610 ,Allele ,education ,Genetic Association Studies ,Aged ,Cancer: breast ,BRIP1 ,medicine.disease ,030104 developmental biology ,Lifepool Investigators ,Mutation - Abstract
Background: BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction. Methods: We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia. Results: The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75). Conclusions: These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels.
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- 2015
11. Multigene testing of moderate-risk genes: be mindful of the missense
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Young, EL, Feng, BJ, Stark, AW, Damiola, F, Durand, G, Forey, N, Francy, TC, Gammon, A, Kohlmann, WK, Kaphingst, KA, McKay-Chopin, S, Nguyen-Dumont, T, Oliver, J, Paquette, AM, Pertesi, M, Robinot, N, Rosenthal, JS, Vallee, M, Voegele, C, Hopper, JL, Southey, MC, Andrulis, IL, John, EM, Hashibe, M, Gertz, J, Le Calvez-Kelm, F, Lesueur, F, Goldgar, DE, Tavtigian, SV, Young, EL, Feng, BJ, Stark, AW, Damiola, F, Durand, G, Forey, N, Francy, TC, Gammon, A, Kohlmann, WK, Kaphingst, KA, McKay-Chopin, S, Nguyen-Dumont, T, Oliver, J, Paquette, AM, Pertesi, M, Robinot, N, Rosenthal, JS, Vallee, M, Voegele, C, Hopper, JL, Southey, MC, Andrulis, IL, John, EM, Hashibe, M, Gertz, J, Le Calvez-Kelm, F, Lesueur, F, Goldgar, DE, and Tavtigian, SV
- Abstract
BACKGROUND: Moderate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established. METHODS: We evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold. RESULTS: Analysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5. CONCLUSIONS: Among early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants.
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- 2016
12. No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing
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Easton, DF, Lesueur, F, Decker, B, Michailidou, K, Li, J, Allen, J, Luccarini, C, Pooley, KA, Shah, M, Bolla, MK, Wang, Q, Dennis, J, Ahmad, J, Thompson, ER, Damiola, F, Pertesi, M, Voegele, C, Mebirouk, N, Robinot, N, Durand, G, Forey, N, Luben, RN, Ahmed, S, Aittomaki, K, Anton-Culver, H, Arndt, V, Baynes, C, Beckman, MW, Benitez, J, Van Den Berg, D, Blot, WJ, Bogdanova, NV, Bojesen, SE, Brenner, H, Chang-Claude, J, Chia, KS, Choi, J-Y, Conroy, DM, Cox, A, Cross, SS, Czene, K, Darabi, H, Devilee, P, Eriksson, M, Fasching, PA, Figueroa, J, Flyger, H, Fostira, F, Garcia-Closas, M, Giles, GG, Glendon, G, Gonzalez-Neira, A, Guenel, P, Haiman, CA, Hall, P, Hart, SN, Hartman, M, Hooning, MJ, Hsiung, C-N, Ito, H, Jakubowska, A, James, PA, John, EM, Johnson, N, Jones, M, Kabisch, M, Kang, D, Kosma, V-M, Kristensen, V, Lambrechts, D, Li, N, Lindblom, A, Long, J, Lophatananon, A, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Matsuo, K, Meindl, A, Mitchell, G, Muir, K, Nevelsteen, I, van den Ouweland, A, Peterlongo, P, Phuah, SY, Pylkas, K, Rowley, SM, Sangrajrang, S, Schmutzler, RK, Shen, C-Y, Shu, X-O, Southey, MC, Surowy, H, Swerdlow, A, Teo, SH, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Vachon, C, Verhoef, S, Wong-Brown, M, Zheng, W, Zheng, Y, Nevanlinna, H, Scott, RJ, Andrulis, IL, Wu, AH, Hopper, JL, Couch, FJ, Winqvist, R, Burwinkel, B, Sawyer, EJ, Schmidt, MK, Rudolph, A, Doerk, T, Brauch, H, Hamann, U, Neuhausen, SL, Milne, RL, Fletcher, O, Pharoah, PDP, Campbell, IG, Dunning, AM, Le Calvez-Kelm, F, Goldgar, DE, Tavtigian, SV, Chenevix-Trench, G, Easton, DF, Lesueur, F, Decker, B, Michailidou, K, Li, J, Allen, J, Luccarini, C, Pooley, KA, Shah, M, Bolla, MK, Wang, Q, Dennis, J, Ahmad, J, Thompson, ER, Damiola, F, Pertesi, M, Voegele, C, Mebirouk, N, Robinot, N, Durand, G, Forey, N, Luben, RN, Ahmed, S, Aittomaki, K, Anton-Culver, H, Arndt, V, Baynes, C, Beckman, MW, Benitez, J, Van Den Berg, D, Blot, WJ, Bogdanova, NV, Bojesen, SE, Brenner, H, Chang-Claude, J, Chia, KS, Choi, J-Y, Conroy, DM, Cox, A, Cross, SS, Czene, K, Darabi, H, Devilee, P, Eriksson, M, Fasching, PA, Figueroa, J, Flyger, H, Fostira, F, Garcia-Closas, M, Giles, GG, Glendon, G, Gonzalez-Neira, A, Guenel, P, Haiman, CA, Hall, P, Hart, SN, Hartman, M, Hooning, MJ, Hsiung, C-N, Ito, H, Jakubowska, A, James, PA, John, EM, Johnson, N, Jones, M, Kabisch, M, Kang, D, Kosma, V-M, Kristensen, V, Lambrechts, D, Li, N, Lindblom, A, Long, J, Lophatananon, A, Lubinski, J, Mannermaa, A, Manoukian, S, Margolin, S, Matsuo, K, Meindl, A, Mitchell, G, Muir, K, Nevelsteen, I, van den Ouweland, A, Peterlongo, P, Phuah, SY, Pylkas, K, Rowley, SM, Sangrajrang, S, Schmutzler, RK, Shen, C-Y, Shu, X-O, Southey, MC, Surowy, H, Swerdlow, A, Teo, SH, Tollenaar, RAEM, Tomlinson, I, Torres, D, Truong, T, Vachon, C, Verhoef, S, Wong-Brown, M, Zheng, W, Zheng, Y, Nevanlinna, H, Scott, RJ, Andrulis, IL, Wu, AH, Hopper, JL, Couch, FJ, Winqvist, R, Burwinkel, B, Sawyer, EJ, Schmidt, MK, Rudolph, A, Doerk, T, Brauch, H, Hamann, U, Neuhausen, SL, Milne, RL, Fletcher, O, Pharoah, PDP, Campbell, IG, Dunning, AM, Le Calvez-Kelm, F, Goldgar, DE, Tavtigian, SV, and Chenevix-Trench, G
- Abstract
BACKGROUND: BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction. METHODS: We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia. RESULTS: The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75). CONCLUSIONS: These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels.
- Published
- 2016
13. Haplotype analysis reveals that the recurrentBRCA1deletion of exons 23 and 24 is a Greek founder mutation
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Apostolou, P., primary, Pertesi, M., additional, Aleporou‐Marinou, V., additional, Dimitrakakis, C., additional, Papadimitriou, C., additional, Razis, E., additional, Christodoulou, C., additional, Fountzilas, G., additional, Yannoukakos, D., additional, Konstantopoulou, I., additional, and Fostira, F., additional
- Published
- 2016
- Full Text
- View/download PDF
14. Prevalence of BRCA1 mutations among 403 women with triple-negative breast cancer: Implications for genetic screening selection criteria: A Hellenic Cooperative Oncology Group Study
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Fostira, F. Tsitlaidou, M. Papadimitriou, C. Pertesi, M. Timotheadou, E. Stavropoulou, A.V. Glentis, S. Bournakis, E. Bobos, M. Pectasides, D. Papakostas, P. Pentheroudakis, G. Gogas, H. Skarlos, P. Samantas, E. Bafaloukos, D. Kosmidis, P.A. Koutras, A. Yannoukakos, D. Konstantopoulou, I. Fountzilas, G.
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skin and connective tissue diseases - Abstract
In spite the close association of the triple-negative breast cancer immunophenotype with hereditary breast cancers and the BRCA1 pathway, there is a lack of population studies that determine the frequency of BRCA1 mutations among triple-negative breast cancer patients. To address this, we have screened a large sample of 403 women diagnosed with triple-negative invasive breast cancer, independently of their age or family history, for germline BRCA1 mutations. Median age at diagnosis was 50 years (range 20-83). The overall prevalence of triple-negative cases among the initial patient group with invasive breast cancer was 8 %. BRCA1 was screened by direct DNA sequencing in all patients, including all exons where a mutation was previously found in the Greek population (exons 5, 11, 12, 16, 20, 21, 22, 23, 24-77 % of the BRCA1 coding region), including diagnostic PCRs to detect the three Greek founder large genomic rearrangements. Sixty-five deleterious BRCA1 mutations were identified among the 403 triple-negative breast cancer patients (16 %). Median age of onset for mutation carriers was 39 years. Among a total of 106 women with early-onset triple-negative breast cancer (
- Published
- 2012
15. ENIGMA - Evidence-based Network for the Interpretation of Germline Mutant Alleles: An international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes
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Spurdle, Ab, Healey, S, Devereau, A, Hogervorst, Fb, Monteiro, An, Nathanson, Kl, Radice, P, Stoppa Lyonnet, D, Tavtigian, S, Wappenschmidt, B, Couch, Fj, Goldgar, De, ENIGMA: Goldgar, D, Couch, F, Fackenthal, Jd, Thomassen, M, Teo, Sh, Hansen, Tv, Borg, Å, Eeles, R, Toland, A, Rogan, P, Guidugli, L, Brody, Lc, Brown, M, Kwong, A, Lei po CW, Nevanlinna, H, Garber, J, Foretova, L, Singer, Cf, Blok, Mj, Osorio, A, Kote Jarai, Z, Baralle, D, Vega, A, Blanco, A, Santamariña, M, Fachal, L, Nederlof, P, Peock, S, Pasini, Barbara, Tommasi, S, Lafferty, A, Ansari, A, Konstantopoulou, I, Pal, T, Simard, J, Bonetti, A, Varesco, L, Peissel, B, Evans, Dg, Foulkes, W, Szabo, C, van Asperen, C, Jonkers, J, Walker, L, Mitchell, G, Gutiérrez Enríquez, S, Diez, O, Millot, G, Fostira, F, Selkirk, C, Antoniou, A, Monteiro, A, Carvalho, M, Rubinstein, Ws, de la Hoya, M, Domchek, S, Caputo, S, Houdayer, C, Blanco, I, Lázaro, C, Whiley, P, Becker, A, Aretini, P, Eccles, D, Caldes, T, Viel, A, Izatt, L, Hogervorst, F, Nathanson, K, Pedersen, Is, Vreeswijk, M, Neuhausen, S, Yannoukakos, K, Tucker, K, Southey, M, Leary, J, Caligo, Ma, Gomez Garcia, E, Brandao, R, Lidereau, R, Montagna, M, Pertesi, M, Cornell, M, Rouleau, E, Sharan, S, Rahman, N, Lalloo, F, Weitzel, J, Campbell, J, Cummings, Machakova, E, Olopade, F, Godwin, A, Ozcelik, H, Seminara, D., Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA KG Polikliniek (9), Genetica & Celbiologie, and RS: GROW - School for Oncology and Reproduction
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Evidence-based practice ,unclassified variant ,RNA Splicing ,Genes, BRCA2 ,Genes, BRCA1 ,consortium ,Breast Neoplasms ,Biology ,Article ,Germline mutation ,breast cancer ,Risk Factors ,Genetic variation ,Genetics ,medicine ,Humans ,Clinical significance ,Genetic Predisposition to Disease ,BRCA1/BRCA2 ,Genetic Testing ,Allele ,unclassified variants ,Gene ,Genetics (clinical) ,Alleles ,Germ-Line Mutation ,Genetic testing ,Ovarian Neoplasms ,medicine.diagnostic_test ,Mechanism (biology) ,Genetic Variation ,BRCA1 ,BRCA2 ,ovarian cancer ,Germ Cells ,Organization and Administration ,Data Interpretation, Statistical ,international collaboration ,Practice Guidelines as Topic ,Female ,Algorithms - Abstract
As genetic testing for predisposition to human diseases has become an increasingly common practice in medicine, the need for clear interpretation of the test results is apparent. However, for many disease genes, including the breast cancer susceptibility genes BRCA1 and BRCA2, a significant fraction of tests results in the detection of a genetic variant for which disease association is not known. The finding of an "unclassified" variant (UV)/variant of uncertain significance (VUS) complicates genetic test reporting and counseling. As these variants are individually rare, a large collaboration of researchers and clinicians will facilitate studies to assess their association with cancer predisposition. It was with this in mind that the ENIGMA consortium (www.enigmaconsortium.org) was initiated in 2009. The membership is both international and interdisciplinary, and currently includes more than 100 research scientists and clinicians from 19 countries. Within ENIGMA, there are presently six working groups focused on the following topics: analysis, clinical, database, functional, tumor histopathology, and mRNA splicing. ENIGMA provides a mechanism to pool resources, exchange methods and data, and coordinately develop and apply algorithms for classification of variants in BRCA1 and BRCA2. It is envisaged that the research and clinical application of models developed by ENIGMA will be relevant to the interpretation of sequence variants in other disease genes. Hum Mutat 00:1-6, 2011. © 2011 Wiley Periodicals, Inc.
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- 2011
16. Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study
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Damiola, F, Pertesi, M, Oliver, J, Le Calvez-Kelm, F, Voegele, C, Young, EL, Robinot, N, Forey, N, Durand, G, Vallee, MP, Tao, K, Roane, TC, Williams, GJ, Hopper, JL, Southey, MC, Andrulis, IL, John, EM, Goldgar, DE, Lesueur, F, Tavtigian, SV, Damiola, F, Pertesi, M, Oliver, J, Le Calvez-Kelm, F, Voegele, C, Young, EL, Robinot, N, Forey, N, Durand, G, Vallee, MP, Tao, K, Roane, TC, Williams, GJ, Hopper, JL, Southey, MC, Andrulis, IL, John, EM, Goldgar, DE, Lesueur, F, and Tavtigian, SV
- Abstract
INTRODUCTION: The MRE11A-RAD50-Nibrin (MRN) complex plays several critical roles related to repair of DNA double-strand breaks. Inherited mutations in the three components predispose to genetic instability disorders and the MRN genes have been implicated in breast cancer susceptibility, but the underlying data are not entirely convincing. Here, we address two related questions: (1) are some rare MRN variants intermediate-risk breast cancer susceptibility alleles, and if so (2) do the MRN genes follow a BRCA1/BRCA2 pattern wherein most susceptibility alleles are protein-truncating variants, or do they follow an ATM/CHEK2 pattern wherein half or more of the susceptibility alleles are missense substitutions? METHODS: Using high-resolution melt curve analysis followed by Sanger sequencing, we mutation screened the coding exons and proximal splice junction regions of the MRN genes in 1,313 early-onset breast cancer cases and 1,123 population controls. Rare variants in the three genes were pooled using bioinformatics methods similar to those previously applied to ATM, BRCA1, BRCA2, and CHEK2, and then assessed by logistic regression. RESULTS: Re-analysis of our ATM, BRCA1, and BRCA2 mutation screening data revealed that these genes do not harbor pathogenic alleles (other than modest-risk SNPs) with minor allele frequencies>0.1% in Caucasian Americans, African Americans, or East Asians. Limiting our MRN analyses to variants with allele frequencies of <0.1% and combining protein-truncating variants, likely spliceogenic variants, and key functional domain rare missense substitutions, we found significant evidence that the MRN genes are indeed intermediate-risk breast cancer susceptibility genes (odds ratio (OR)=2.88, P=0.0090). Key domain missense substitutions were more frequent than the truncating variants (24 versus 12 observations) and conferred a slightly higher OR (3.07 versus 2.61) with a lower P value (0.029 versus 0.14). CONCLUSIONS: These data establish that MRE11A
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- 2014
17. Contribution of BRCA1 germ-line mutations to breast cancer in Greece: a hospital-based study of 987 unselected breast cancer cases
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Armaou, S. Pertesi, M. Fostira, F. Thodi, G. Athanasopoulos, P.S. Kamakari, S. Athanasiou, A. Gogas, H. Yannoukakos, D. Fountzilas, G. Konstantopoulou, I.
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skin and connective tissue diseases - Abstract
Background:In most Western populations, 5-10% of all breast cancer cases can be attributed to major genetic factors such as predisposing mutations in BRCA1 and BRCA2, with early-onset cases generally considered as an indicator of genetic susceptibility. Specific BRCA1 and BRCA2 mutations or different mutation frequencies have been identified in specific populations and ethnic groups. Previous studies in Greek breast and/or ovarian cancer patients with family history have shown that four specific BRCA1 mutations, c.5266dupC, G1738R, and two large genomic rearrangements involving deletions of exons 20 and 24, have a prominent function in the population's BRCA1 and BRCA2 mutation spectrum.Methods:To estimate the frequency of the above mutations in unselected Greek breast cancer women, we screened 987 unselected cases independently of their family history, collected from major Greek hospitals.RESULTS: Of the 987 patients, 26 (2.6%) were found to carry one of the above mutations in the BRCA1 gene: 13 carried the c.5266dupC mutation (1.3%), 6 carried the exon 24 deletion (0.6%), 3 carried the exon 20 deletion (0.3%), and 4 carried the G1738R mutation (0.4%). Among 140 patients with early-onset breast cancer (40 years), 14 carried one of the four mutations (10.0%).Conclusion:These results suggest that a low-cost genetic screening for only the four prominent BRCA1 mutations may be advisable to all early-onset breast cancer patients of Greek origin. © 2009 Cancer Research.
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- 2009
18. Identification of new breast cancer predisposition genes via whole exome sequencing
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Southey, MC, Park, DJ, Lesueur, F, Odefrey, F, Nguyen-Dumont, T, Hammet, F, Neuhausen, SL, John, EM, Andrulis, IL, Chenevix-Trench, G, Baglietto, L, Le Calvez-Kelm, F, Pertesi, M, Lonie, A, Pope, B, Sinilnikova, O, Tsimiklis, H, Giles, GG, Hopper, JL, Tavtigian, SV, Goldgar, DE, Southey, MC, Park, DJ, Lesueur, F, Odefrey, F, Nguyen-Dumont, T, Hammet, F, Neuhausen, SL, John, EM, Andrulis, IL, Chenevix-Trench, G, Baglietto, L, Le Calvez-Kelm, F, Pertesi, M, Lonie, A, Pope, B, Sinilnikova, O, Tsimiklis, H, Giles, GG, Hopper, JL, Tavtigian, SV, and Goldgar, DE
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- 2012
19. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2
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Mulligan, A.M., Couch, F.J., Barrowdale, D., Domchek, S.M., Eccles, D., Nevanlinna, H., Ramus, S.J., Robson, M., Sherman, M., Spurdle, A.B., Wappenschmidt, B., Lee, A., McGuffog, L., Healey, S., Sinilnikova, O.M., Janavicius, R., Hansen, T.V., Nielsen, F.C., Ejlertsen, B., Osorio, A., Munoz-Repeto, I., Duran, M., Godino, J., Pertesi, M., Benitez, J., Peterlongo, P., Manoukian, S., Peissel, B., Zaffaroni, D., Cattaneo, E., Bonanni, B., Viel, A., Pasini, B., Papi, L., Ottini, L., Savarese, A., Bernard, L., Radice, P., Hamann, U., Verheus, M., Meijers-Heijboer, H.E., Wijnen, J., Gomez Garcia, E.B., Nelen, M.R., Kets, C.M., Seynaeve, C., Tilanus-Linthorst, M.M., Luijt, R.B. van der, Os, T.V., Rookus, M., Frost, D., Jones, J.L., Evans, D.G., Lalloo, F., Eeles, R., Izatt, L., Adlard, J., Davidson, R., Cook, J., Donaldson, A., Dorkins, H., Gregory, H., Eason, J., Houghton, C., Barwell, J., Side, L.E., McCann, E., Murray, A., Peock, S., Godwin, A.K., Schmutzler, R.K., Rhiem, K., Engel, C., Meindl, A., Ruehl, I., Arnold, N., Niederacher, D., Sutter, C., Deissler, H., Gadzicki, D., Kast, K., Preisler-Adams, S., Varon-Mateeva, R., Schoenbuchner, I., Fiebig, B., Heinritz, W., Schafer, D., Gevensleben, H., Caux-Moncoutier, V., Fassy-Colcombet, M., Cornelis, F., Mazoyer, S., Leone, M., Boutry-Kryza, N., Hardouin, A., Berthet, P., Muller, D., Fricker, J.P., Mortemousque, I., Pujol, P., et al., Mulligan, A.M., Couch, F.J., Barrowdale, D., Domchek, S.M., Eccles, D., Nevanlinna, H., Ramus, S.J., Robson, M., Sherman, M., Spurdle, A.B., Wappenschmidt, B., Lee, A., McGuffog, L., Healey, S., Sinilnikova, O.M., Janavicius, R., Hansen, T.V., Nielsen, F.C., Ejlertsen, B., Osorio, A., Munoz-Repeto, I., Duran, M., Godino, J., Pertesi, M., Benitez, J., Peterlongo, P., Manoukian, S., Peissel, B., Zaffaroni, D., Cattaneo, E., Bonanni, B., Viel, A., Pasini, B., Papi, L., Ottini, L., Savarese, A., Bernard, L., Radice, P., Hamann, U., Verheus, M., Meijers-Heijboer, H.E., Wijnen, J., Gomez Garcia, E.B., Nelen, M.R., Kets, C.M., Seynaeve, C., Tilanus-Linthorst, M.M., Luijt, R.B. van der, Os, T.V., Rookus, M., Frost, D., Jones, J.L., Evans, D.G., Lalloo, F., Eeles, R., Izatt, L., Adlard, J., Davidson, R., Cook, J., Donaldson, A., Dorkins, H., Gregory, H., Eason, J., Houghton, C., Barwell, J., Side, L.E., McCann, E., Murray, A., Peock, S., Godwin, A.K., Schmutzler, R.K., Rhiem, K., Engel, C., Meindl, A., Ruehl, I., Arnold, N., Niederacher, D., Sutter, C., Deissler, H., Gadzicki, D., Kast, K., Preisler-Adams, S., Varon-Mateeva, R., Schoenbuchner, I., Fiebig, B., Heinritz, W., Schafer, D., Gevensleben, H., Caux-Moncoutier, V., Fassy-Colcombet, M., Cornelis, F., Mazoyer, S., Leone, M., Boutry-Kryza, N., Hardouin, A., Berthet, P., Muller, D., Fricker, J.P., Mortemousque, I., Pujol, P., and et al.
- Abstract
Contains fulltext : 97737.pdf (publisher's version ) (Open Access), INTRODUCTION: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumour. METHODS: We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumour, to assess the associations of 12 loci with breast cancer tumour characteristics. Associations were evaluated using a retrospective cohort approach. RESULTS: The results suggested stronger associations with ER-positive breast cancer than ER-negative for 11 loci in both BRCA1 and BRCA2 carriers. Among BRCA1 carriers, single nucleotide polymorphism (SNP) rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele hazard ratio (HR) for ER-positive = 1.35, 95% CI: 1.17 to 1.56 vs HR = 0.91, 95% CI: 0.85 to 0.98 for ER-negative, P-heterogeneity = 6.5 x 10-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER-negative breast cancer risk for both BRCA1 and BRCA2 carriers. In BRCA2 carriers, SNPs in FGFR2, TOX3, LSP1, SLC4A7/NEK10, 5p12, 2q35, and 1p11.2 were significantly associated with ER-positive but not ER-negative disease. Similar results were observed when differentiating breast cancer cases by PR status. CONCLUSIONS: The associations of the 12 SNPs with risk for BRCA1 and BRCA2 carriers differ by ER-positive or ER-negative breast cancer status. The apparent differences in SNP associations between BRCA1 and BRCA2 carriers, and non-carriers, may be explicable by differences in the prevalence of tumour subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific
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- 2011
20. Common breast cancer susceptibility alleles are associated with tumour subtypes in BRCA1 and BRCA2 mutation carriers: results from the Consortium of Investigators of Modifiers of BRCA1/2
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Mulligan, A.M. (Anna Marie), Couch, F.J. (Fergus), Barrowdale, D. (Daniel), Domchek, S.M. (Susan), Eccles, D. (Diana), Nevanlinna, H. (Heli), Ramus, S.J. (Susan), Robson, M. (Mark), Sherman, M.E. (Mark), Spurdle, A.B. (Amanda), Wapenschmidt, B. (Barbara), Lee, A. (Andrew), McGuffog, L. (Lesley), Healey, S. (Sue), Sinilnikova, O. (Olga), Janavicius, R. (Ramunas), Hansen, T.V.O. (Thomas), Nielsen, F.C. (Finn), Ejlertsen, B. (Bent), Osorio, A. (Ana), Muñoz-Repeto, I. (Iván), Durán, M. (Mercedes), Godino, J. (Javier), Pertesi, M. (Maroulio), Benítez, J. (Javier), Peterlongo, P. (Paolo), Manoukian, S. (Siranoush), Peissel, B. (Bernard), Zaffaroni, D. (D.), Cattaneo, E. (Elisa), Bonnani, B. (Bernardo), Viel, A. (Alessandra), Pasini, B. (Barbara), Papi, L. (Laura), Ottini, L. (Laura), Savarese, A. (Antonella), Bernard, L. (Loris), Radice, P. (Paolo), Hamann, U. (Ute), Verheus, M. (Martijn), Meijers-Heijboer, E.J. (Hanne), Wijnen, J.T. (Juul), Gómez García, E.B. (Encarna), Nelen, M.R. (Marcel), Kets, C.M. (Marleen), Seynaeve, C.M. (Caroline), Tilanus-Linthorst, M.M.A. (Madeleine), Luijt, R.B. (Rob) van der, Os, T.V. (Theo), Rookus, M.A. (Matti), Frost, D. (Debra), Jones, J.L. (J Louise), Evans, D.G. (Gareth), Lalloo, F. (Fiona), Eeles, R. (Rosalind), Izatt, L. (Louise), Adlard, J.W. (Julian), Davidson, R. (Rosemarie), Cook, J. (Jackie), Donaldson, A. (Alan), Dorkins, H. (Huw), Gregory, H. (Helen), Eason, J. (Jacqueline), Houghton, C. (Catherine), Barwell, J. (Julian), Side, L. (Lucy), McCann, E. (Emma), Murray, A. (Alexandra), Peock, S. (Susan), Godwin, A.K. (Andrew), Schmutzler, R.K. (Rita), Rhiem, K. (Kerstin), Engel, C. (Christoph), Meindl, A. (Alfons), Ruehl, I. (Ina), Arnold, N. (Norbert), Niederacher, D. (Dieter), Sutter, C. (Christian), Deissler, H. (Helmut), Gadzicki, D. (Dorothea), Kast, K. (Karin), Preisler-Adams, S. (Sabine), Varon-Mateeva, R. (Raymonda), Schoenbuchner, I. (Ines), Fiebig, B. (Britta), Heinritz, W. (Wolfram), Schäfer, D. (Dieter), Gevensleben, H. (Heidrun), Caux-Moncoutier, V. (Virginie), Fassy-Colcombet, M. (Marion), Cornelis, F. (Franco̧is), Mazoyer, S. (Sylvie), Léone, M. (Mélanie), Boutry-Kryza, N. (N.), Hardouin, A. (Agnès), Berthet, P. (Pascaline), Muller, D.W. (Danièle), Fricker, J.P. (Jean Pierre), Mortemousque, I. (Isabelle), Pujol, P. (Pascal), Coupier, I. (Isabelle), Lebrun, M. (Marine), Kientz, C. (Caroline), Longy, M. (Michel), Sevenet, N. (Nicolas), Stoppa-Lyonnet, D. (Dominique), Isaacs, C. (Claudine), Caldes, T. (Trinidad), Hoya, M. (Miguel) de La, Heikinen, T. (Tuomas), Aittomäki, K. (Kristiina), Blanco, I. (Ignacio), Lázaro, C. (Conxi), Barkardottir, R.B. (Rosa), Soucy, P. (Penny), Dumont, M. (Martine), Simard, J. (Jacques), Montagna, M. (Marco), Tognazzo, S. (Silvia), D'Andrea, E. (Emma), Fox, S.B. (Stephen), Yan, M. (Max), Rebbeck, R. (Timothy), Olopade, O.I. (Olofunmilayo), Weitzel, J.N. (Jeffrey), Lynch, H. (Henry), Ganz, P.A. (Patricia), Tomlinson, G. (Gail), Wang, X. (Xing), Fredericksen, Z. (Zachary), Pankratz, V.S. (Shane), Lindor, N.M. (Noralane), Szabo, C. (Csilla), Offit, K. (Kenneth), Sakr, R. (Rita), Gaudet, M.M. (Mia), Bhatia, K.P. (Kailash), Kauff, N. (Noah), Singer, C.F. (Christian), Tea, M.-K., Gschwantler-Kaulich, D. (Daphne), Fink-Retter, A. (Anneliese), Mai, P.L. (Phuong), Greene, M.H. (Mark), Imyanitov, E.N. (Evgeny), O'Malley, F.P. (Frances), Ozcelik, H. (Hilmi), Glendon, G. (Gord), Toland, A.E. (Amanda), Gerdes, A-M. (Anne-Marie), Thomassen, M. (Mads), Kruse, T.A. (Torben), Jensen, U.B., Skytte, A.-B. (Anne-Bine), Caligo, M.A. (Maria), Soller, M. (Maria), Henriksson, K. (Karin), Wachenfeldt, A. (Anna) von, Arver, B. (Brita Wasteson), Stenmark-Askmalm, M. (M.), Karlsson, P. (Per), Ding, Y.C. (Yuan), Neuhausen, S.L. (Susan), Beattie, M.S. (Mary), Pharoah, P.D.P. (Paul), Moysich, K.B. (Kirsten), Nathanson, K.L. (Katherine), Karlan, B.Y. (Beth), Gross, J. (Jenny), John, E.M. (Esther), Daly, M.B. (Mary), Buys, S.S. (Saundra), Southey, M.C. (Melissa), Hopper, J.L. (John), Terry, M.-B. (Mary-Beth), Chung, W. (Wendy), Miron, A. (Alexander), Goldgar, D. (David), Chenevix-Trench, G. (Georgia), Easton, D.F. (Douglas), Andrulis, I.L. (Irene), Antoniou, A.C. (Antonis), Mulligan, A.M. (Anna Marie), Couch, F.J. (Fergus), Barrowdale, D. (Daniel), Domchek, S.M. (Susan), Eccles, D. (Diana), Nevanlinna, H. (Heli), Ramus, S.J. (Susan), Robson, M. (Mark), Sherman, M.E. (Mark), Spurdle, A.B. (Amanda), Wapenschmidt, B. (Barbara), Lee, A. (Andrew), McGuffog, L. (Lesley), Healey, S. (Sue), Sinilnikova, O. (Olga), Janavicius, R. (Ramunas), Hansen, T.V.O. (Thomas), Nielsen, F.C. (Finn), Ejlertsen, B. (Bent), Osorio, A. (Ana), Muñoz-Repeto, I. (Iván), Durán, M. (Mercedes), Godino, J. (Javier), Pertesi, M. (Maroulio), Benítez, J. (Javier), Peterlongo, P. (Paolo), Manoukian, S. (Siranoush), Peissel, B. (Bernard), Zaffaroni, D. (D.), Cattaneo, E. (Elisa), Bonnani, B. (Bernardo), Viel, A. (Alessandra), Pasini, B. (Barbara), Papi, L. (Laura), Ottini, L. (Laura), Savarese, A. (Antonella), Bernard, L. (Loris), Radice, P. (Paolo), Hamann, U. (Ute), Verheus, M. (Martijn), Meijers-Heijboer, E.J. (Hanne), Wijnen, J.T. (Juul), Gómez García, E.B. (Encarna), Nelen, M.R. (Marcel), Kets, C.M. (Marleen), Seynaeve, C.M. (Caroline), Tilanus-Linthorst, M.M.A. (Madeleine), Luijt, R.B. (Rob) van der, Os, T.V. (Theo), Rookus, M.A. (Matti), Frost, D. (Debra), Jones, J.L. (J Louise), Evans, D.G. (Gareth), Lalloo, F. (Fiona), Eeles, R. (Rosalind), Izatt, L. (Louise), Adlard, J.W. (Julian), Davidson, R. (Rosemarie), Cook, J. (Jackie), Donaldson, A. (Alan), Dorkins, H. (Huw), Gregory, H. (Helen), Eason, J. (Jacqueline), Houghton, C. (Catherine), Barwell, J. (Julian), Side, L. (Lucy), McCann, E. (Emma), Murray, A. (Alexandra), Peock, S. (Susan), Godwin, A.K. (Andrew), Schmutzler, R.K. (Rita), Rhiem, K. (Kerstin), Engel, C. (Christoph), Meindl, A. (Alfons), Ruehl, I. (Ina), Arnold, N. (Norbert), Niederacher, D. (Dieter), Sutter, C. (Christian), Deissler, H. (Helmut), Gadzicki, D. (Dorothea), Kast, K. (Karin), Preisler-Adams, S. (Sabine), Varon-Mateeva, R. (Raymonda), Schoenbuchner, I. (Ines), Fiebig, B. (Britta), Heinritz, W. (Wolfram), Schäfer, D. (Dieter), Gevensleben, H. (Heidrun), Caux-Moncoutier, V. (Virginie), Fassy-Colcombet, M. (Marion), Cornelis, F. (Franco̧is), Mazoyer, S. (Sylvie), Léone, M. (Mélanie), Boutry-Kryza, N. (N.), Hardouin, A. (Agnès), Berthet, P. (Pascaline), Muller, D.W. (Danièle), Fricker, J.P. (Jean Pierre), Mortemousque, I. (Isabelle), Pujol, P. (Pascal), Coupier, I. (Isabelle), Lebrun, M. (Marine), Kientz, C. (Caroline), Longy, M. (Michel), Sevenet, N. (Nicolas), Stoppa-Lyonnet, D. (Dominique), Isaacs, C. (Claudine), Caldes, T. (Trinidad), Hoya, M. (Miguel) de La, Heikinen, T. (Tuomas), Aittomäki, K. (Kristiina), Blanco, I. (Ignacio), Lázaro, C. (Conxi), Barkardottir, R.B. (Rosa), Soucy, P. (Penny), Dumont, M. (Martine), Simard, J. (Jacques), Montagna, M. (Marco), Tognazzo, S. (Silvia), D'Andrea, E. (Emma), Fox, S.B. (Stephen), Yan, M. (Max), Rebbeck, R. (Timothy), Olopade, O.I. (Olofunmilayo), Weitzel, J.N. (Jeffrey), Lynch, H. (Henry), Ganz, P.A. (Patricia), Tomlinson, G. (Gail), Wang, X. (Xing), Fredericksen, Z. (Zachary), Pankratz, V.S. (Shane), Lindor, N.M. (Noralane), Szabo, C. (Csilla), Offit, K. (Kenneth), Sakr, R. (Rita), Gaudet, M.M. (Mia), Bhatia, K.P. (Kailash), Kauff, N. (Noah), Singer, C.F. (Christian), Tea, M.-K., Gschwantler-Kaulich, D. (Daphne), Fink-Retter, A. (Anneliese), Mai, P.L. (Phuong), Greene, M.H. (Mark), Imyanitov, E.N. (Evgeny), O'Malley, F.P. (Frances), Ozcelik, H. (Hilmi), Glendon, G. (Gord), Toland, A.E. (Amanda), Gerdes, A-M. (Anne-Marie), Thomassen, M. (Mads), Kruse, T.A. (Torben), Jensen, U.B., Skytte, A.-B. (Anne-Bine), Caligo, M.A. (Maria), Soller, M. (Maria), Henriksson, K. (Karin), Wachenfeldt, A. (Anna) von, Arver, B. (Brita Wasteson), Stenmark-Askmalm, M. (M.), Karlsson, P. (Per), Ding, Y.C. (Yuan), Neuhausen, S.L. (Susan), Beattie, M.S. (Mary), Pharoah, P.D.P. (Paul), Moysich, K.B. (Kirsten), Nathanson, K.L. (Katherine), Karlan, B.Y. (Beth), Gross, J. (Jenny), John, E.M. (Esther), Daly, M.B. (Mary), Buys, S.S. (Saundra), Southey, M.C. (Melissa), Hopper, J.L. (John), Terry, M.-B. (Mary-Beth), Chung, W. (Wendy), Miron, A. (Alexander), Goldgar, D. (David), Chenevix-Trench, G. (Georgia), Easton, D.F. (Douglas), Andrulis, I.L. (Irene), and Antoniou, A.C. (Antonis)
- Abstract
Introduction: Previous studies have demonstrated that common breast cancer susceptibility alleles are differentially associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. It is currently unknown how these alleles are associated with different breast cancer subtypes in BRCA1 and BRCA2 mutation carriers defined by estrogen (ER) or progesterone receptor (PR) status of the tumour.Methods: We used genotype data on up to 11,421 BRCA1 and 7,080 BRCA2 carriers, of whom 4,310 had been affected with breast cancer and had information on either ER or PR status of the tumour, to assess the associations of 12 loci with breast cancer tumour characteristics. Associations were evaluated using a retrospective cohort approach.Results: The results suggested stronger associations with ER-positive breast cancer than ER-negative for 11 loci in both BRCA1 and BRCA2 carriers. Among BRCA1 carriers, single nucleotide polymorphism (SNP) rs2981582 (FGFR2) exhibited the biggest difference based on ER status (per-allele hazard ratio (HR) for ER-positive = 1.35, 95% CI: 1.17 to 1.56 vs HR = 0.91, 95% CI: 0.85 to 0.98 for ER-negative, P-heterogeneity = 6.5 × 10-6). In contrast, SNP rs2046210 at 6q25.1 near ESR1 was primarily associated with ER-negative breast cancer risk for both BRCA1 and BRCA2 carriers. In BRCA2 carriers, SNPs in FGFR2, TOX3, LSP1, SLC4A7/NEK10, 5p12, 2q35, and 1p11.2 were significantly associated with ER-positive but not ER-negative disease. Similar results were observed when differentiating breast cancer cases by PR status.Conclusions: The associations of the 12 SNPs with risk for BRCA1 and BRCA2 carriers differ by ER-positive or ER-negative breast cancer status. The apparent differences in SNP associations between BRCA1 and BRCA2 carriers, and non-carriers, may be explicable by differences in the prevalence of tumour subtypes. As more risk modifying variants are identified, incorporating these associations into breast cancer subtype-specific risk models
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- 2011
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21. High prevalence ofBRCA1founder mutations in Greek breast/ovarian families
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Konstantopoulou, I, primary, Tsitlaidou, M, additional, Fostira, F, additional, Pertesi, M, additional, Stavropoulou, A-V, additional, Triantafyllidou, O, additional, Tsotra, E, additional, Tsiftsoglou, AP, additional, Tsionou, C, additional, Droufakou, S, additional, Dimitrakakis, C, additional, Fountzilas, G, additional, and Yannoukakos, D, additional
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- 2013
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22. Multigene testing of moderate-risk genes: be mindful of the missense.
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Young, E. L., Feng, B. J., Stark, A. W., Damiola, F., Durand, G., Forey, N., Francy, T. C., Gammon, A., Kohlmann, W. K., Kaphingst, K. A., McKay-Chopin, S., Nguyen-Dumont, T., Oliver, J., Paquette, A. M., Pertesi, M., Robinot, N., Rosenthal, J. S., Vallee, M., Voegele, C., and Hopper, J. L.
- Subjects
GENETIC mutation ,MISSENSE mutation ,GENE expression ,GENETICS of breast cancer ,BREAST cancer risk factors ,SINGLE nucleotide polymorphisms - Abstract
Background Moderate-risk genes have not been extensively studied, and missense substitutions in them are generally returned to patients as variants of uncertain significance lacking clearly defined risk estimates. The fraction of early-onset breast cancer cases carrying moderate-risk genotypes and quantitative methods for flagging variants for further analysis have not been established. Methods We evaluated rare missense substitutions identified from a mutation screen of ATM, CHEK2, MRE11A, RAD50, NBN, RAD51, RINT1, XRCC2 and BARD1 in 1297 cases of early-onset breast cancer and 1121 controls via scores from Align-Grantham Variation Grantham Deviation (GVGD), combined annotation dependent depletion (CADD), multivariate analysis of protein polymorphism (MAPP) and PolyPhen-2. We also evaluated subjects by polygenotype from 18 breast cancer risk SNPs. From these analyses, we estimated the fraction of cases and controls that reach a breast cancer OR≥2.5 threshold. Results Analysis of mutation screening data from the nine genes revealed that 7.5% of cases and 2.4% of controls were carriers of at least one rare variant with an average OR≥2.5. 2.1% of cases and 1.2% of controls had a polygenotype with an average OR≥2.5. Conclusions Among early-onset breast cancer cases, 9.6% had a genotype associated with an increased risk sufficient to affect clinical management recommendations. Over two-thirds of variants conferring this level of risk were rare missense substitutions in moderate-risk genes. Placement in the estimated OR≥2.5 group by at least two of these missense analysis programs should be used to prioritise variants for further study. Panel testing often creates more heat than light; quantitative approaches to variant prioritisation and classification may facilitate more efficient clinical classification of variants. [ABSTRACT FROM AUTHOR]
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- 2016
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23. Haplotype analysis of two recurrent genomic rearrangements in the BRCA1 gene suggests they are founder mutations for the Greek population
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Pertesi, M, primary, Konstantopoulou, I, additional, and Yannoukakos, D, additional
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- 2010
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24. Prevalence of BRCA1 mutations among 284 women with triple-negative breast cancer.
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Fostira, F., primary, Tsitlaidou, M., additional, Gogas, H., additional, Pertesi, M., additional, Yannoukakos, D., additional, Bournakis, E., additional, Karavassilis, V., additional, Skarlos, P., additional, Konstantopoulou, I., additional, and Fountzilas, G., additional
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- 2010
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25. Contribution of BRCA1 germ-line mutations to breast cancer in Greece: a hospital-based study of 987 unselected breast cancer cases
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Armaou, S, primary, Pertesi, M, additional, Fostira, F, additional, Thodi, G, additional, Athanasopoulos, P S, additional, Kamakari, S, additional, Athanasiou, A, additional, Gogas, H, additional, Yannoukakos, D, additional, Fountzilas, G, additional, and Konstantopoulou, I, additional
- Published
- 2009
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26. Hereditary cancer predisposition syndromes and preimplantation genetic diagnosis: Where are we now?
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Konstantopoulou I, Pertesi M, Fostira F, Grivas A, and Drakoulis Yannoukakos
- Subjects
Adult ,Male ,Genes, Recessive ,Genetic Counseling ,Fertilization in Vitro ,Syndrome ,Pregnancy ,Neoplasms ,Prenatal Diagnosis ,Humans ,Female ,Genetic Predisposition to Disease ,Child ,Genes, Dominant - Abstract
Hereditary cancer predisposition syndromes have been model diseases in order to understand carcinogenesis in many different organs such as colon, breast, ovaries, stomach and others. Better understanding and follow up of these diseases have led to the increasing acceptance of cancer genetic testing and the improving survival of young patients with cancer. Once the mutation is identified in the gene, patients and their relatives have the option of preimplantation genetic diagnosis (PGD) in order to select embryos without familial cancer-predisposing mutations. This procedure has already been performed in several syndromes, including the common syndromes of genetic predisposition to colon and breast cancer. Despite the numerous ethical objections and legal arguments, PGD for adult-onset cancers is today a reality and couples with an inherited predisposing mutation deserve the same respect, support and right to choose if their child will be born having an extremely high risk for cancer development as in the case of other life-threatening diseases for which prenatal screening has become a standard.
27. Correction: Prevalence of BRCA1 Mutations in Familial andSporadic Greek Ovarian Cancer Cases
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Av, Stavropoulou, Fostira F, Pertesi M, Tsitlaidou M, Ge, Voutsinas, Triantafyllidou O, Bamias A, Ma, Dimopoulos, Timotheadou E, Pectasides D, Christodoulou C, Klouvas G, Papadimitriou C, Makatsoris T, Pentheroudakis G, Aravantinos G, Karydakis V, Drakoulis Yannoukakos, Fountzilas G, and Konstantopoulou I
28. Mosaic chromosomal alterations in hematopoietic cells and clinical outcomes in patients with multiple myeloma.
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Husby S, Tulstrup M, Harsløf M, Nielsen C, Haastrup E, Ebbesen LH, Klarskov Andersen M, Pertesi M, Brieghel C, Niemann CU, Nilsson B, Szabo AG, Andersen NF, Abildgaard N, Vangsted A, and Grønbæk K
- Subjects
- Humans, Female, Male, Middle Aged, Aged, Adult, Mosaicism, Hematopoietic Stem Cells metabolism, Hematopoietic Stem Cells pathology, Transplantation, Autologous, Prognosis, Follow-Up Studies, Treatment Outcome, Multiple Myeloma genetics, Multiple Myeloma therapy, Multiple Myeloma mortality, Multiple Myeloma pathology, Chromosome Aberrations, Hematopoietic Stem Cell Transplantation methods
- Abstract
Mosaic chromosomal alterations (mCAs) in hematopoietic cells increase mortality and risk of hematological cancers and infections. We investigated the landscape of mCAs and their clinical consequences in 976 patients with multiple myeloma undergoing high-dose chemotherapy and autologous stem cell support (ASCT) with median 6.4 years of follow-up. mCAs were detected in the stem cell harvest product of 158 patients (16.2%). Autosomal aberrations were found in 60 patients (6.1%) and affected all chromosomes. Loss of chromosome X was found in 51 females (12.7%) and loss of chromosome Y in 55 males (9.6%). Overall survival and progression were similar between carriers of autosomal mCAs and non-carriers. In contrast, female patients with loss of the X chromosome had longer overall survival (age-adjusted[a.a.] HR 0.54, 95% CI 0.32-0.93, p = 0.02), lower risk of progression (a.a. HR 0.55, 95% CI 0.35-0.87; p = 0.01), and better post-transplant response (higher degree of complete response (CR) or very good partial response (VGPR)). The reason for this substantial effect is unknown. Additionally, myeloma clones in the stem cell product was confirmed by mCA analysis in the few patients with multiple mCAs (n = 12 patients). Multiple mCAs conferred inferior overall survival (a.a. HR 2.0, 95% CI 1.02-3.84; p = 0.04) and higher risk of myeloma progression (a.a. HR 3.36, 95% CI 1.67-6.81; p < 0.001), which is presumed to be driven by suspected myeloma contaminants., (© 2024. The Author(s).)
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- 2024
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29. The insertion/deletion polymorphism rs201494641 at ITGA9 influences blood CD34 + cell levels by altering ZNF384 binding.
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Cafaro C, Ali Z, Lamarca A, Di Bello DT, Lozano LD, Ekdahl L, Thodberg M, Pertesi M, De Lapuente Portilla AL, and Nilsson B
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- Humans, Protein Binding, Antigens, CD34 metabolism, INDEL Mutation
- Published
- 2024
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30. Deciphering the genetics and mechanisms of predisposition to multiple myeloma.
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Went M, Duran-Lozano L, Halldorsson GH, Gunnell A, Ugidos-Damboriena N, Law P, Ekdahl L, Sud A, Thorleifsson G, Thodberg M, Olafsdottir T, Lamarca-Arrizabalaga A, Cafaro C, Niroula A, Ajore R, Lopez de Lapuente Portilla A, Ali Z, Pertesi M, Goldschmidt H, Stefansdottir L, Kristinsson SY, Stacey SN, Love TJ, Rognvaldsson S, Hajek R, Vodicka P, Pettersson-Kymmer U, Späth F, Schinke C, Van Rhee F, Sulem P, Ferkingstad E, Hjorleifsson Eldjarn G, Mellqvist UH, Jonsdottir I, Morgan G, Sonneveld P, Waage A, Weinhold N, Thomsen H, Försti A, Hansson M, Juul-Vangsted A, Thorsteinsdottir U, Hemminki K, Kaiser M, Rafnar T, Stefansson K, Houlston R, and Nilsson B
- Subjects
- Humans, Mendelian Randomization Analysis, B-Lymphocytes immunology, B-Lymphocytes metabolism, Case-Control Studies, Transmembrane Activator and CAML Interactor Protein genetics, Male, Telomere genetics, Multiple Myeloma genetics, Genetic Predisposition to Disease, Genome-Wide Association Study, B-Cell Maturation Antigen genetics, Polymorphism, Single Nucleotide
- Abstract
Multiple myeloma (MM) is an incurable malignancy of plasma cells. Epidemiological studies indicate a substantial heritable component, but the underlying mechanisms remain unclear. Here, in a genome-wide association study totaling 10,906 cases and 366,221 controls, we identify 35 MM risk loci, 12 of which are novel. Through functional fine-mapping and Mendelian randomization, we uncover two causal mechanisms for inherited MM risk: longer telomeres; and elevated levels of B-cell maturation antigen (BCMA) and interleukin-5 receptor alpha (IL5RA) in plasma. The largest increase in BCMA and IL5RA levels is mediated by the risk variant rs34562254-A at TNFRSF13B. While individuals with loss-of-function variants in TNFRSF13B develop B-cell immunodeficiency, rs34562254-A exerts a gain-of-function effect, increasing MM risk through amplified B-cell responses. Our results represent an analysis of genetic MM predisposition, highlighting causal mechanisms contributing to MM development., (© 2024. The Author(s).)
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- 2024
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31. Genome-wide CRISPR/Cas9 screen identifies regulators of BCMA expression on multiple myeloma cells.
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Ajore R, Mattsson J, Pertesi M, Ekdahl L, Ali Z, Hansson M, and Nilsson B
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- Humans, B-Cell Maturation Antigen, CRISPR-Cas Systems, Cell Line, Tumor, Multiple Myeloma genetics, Multiple Myeloma metabolism
- Published
- 2024
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32. Functional and molecular profiling of hematopoietic stem cells during regeneration.
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Rydström A, Grahn THM, Niroula A, Mansell E, van der Garde M, Pertesi M, Subramaniam A, Soneji S, Zubarev R, Enver T, Nilsson B, Miharada K, Larsson J, and Karlsson S
- Subjects
- Mice, Animals, Bone Marrow, Cell Cycle genetics, Signal Transduction, Hematopoietic Stem Cells metabolism, Hematopoietic Stem Cell Transplantation
- Abstract
Hematopoietic stem cells (HSCs) enable hematopoietic stem cell transplantation (HCT) through their ability to replenish the entire blood system. Proliferation of HSCs is linked to decreased reconstitution potential, and a precise regulation of actively dividing HSCs is thus essential to ensure long-term functionality. This regulation becomes important in the transplantation setting where HSCs undergo proliferation followed by a gradual transition to quiescence and homeostasis. Although mouse HSCs have been well studied under homeostatic conditions, the mechanisms regulating HSC activation under stress remain unclear. Here, we analyzed the different phases of regeneration after transplantation. We isolated bone marrow from mice at 8 time points after transplantation and examined the reconstitution dynamics and transcriptional profiles of stem and progenitor populations. We found that regenerating HSCs initially produced rapidly expanding progenitors and displayed distinct changes in fatty acid metabolism and glycolysis. Moreover, we observed molecular changes in cell cycle, MYC and mTOR signaling in both HSCs, and progenitor subsets. We used a decay rate model to fit the temporal transcription profiles of regenerating HSCs and identified genes with progressively decreased or increased expression after transplantation. These genes overlapped to a large extent with published gene sets associated with key aspects of HSC function, demonstrating the potential of this data set as a resource for identification of novel HSC regulators. Taken together, our study provides a detailed functional and molecular characterization of HSCs at different phases of regeneration and identifies a gene set associated with the transition from proliferation to quiescence., Competing Interests: Conflict of Interest Disclosure The authors do not have any conflicts of interest to declare in relation to this work., (Copyright © 2023 ISEH -- Society for Hematology and Stem Cells. Published by Elsevier Inc. All rights reserved.)
- Published
- 2023
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33. Clinical characteristics and outcome of 318 families with familial monoclonal gammopathy: A multicenter Intergroupe Francophone du Myélome study.
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Dumontet C, Demangel D, Galia P, Karlin L, Roche L, Fauvernier M, Golfier C, Laude MC, Leleu X, Rodon P, Roussel M, Azaïs I, Doyen C, Slama B, Manier S, Decaux O, Pertesi M, Beaumont M, Caillot D, Boyle EM, Cliquennois M, Cony-Makhoul P, Doncker AV, Dorvaux V, Petillon MO, Fontan J, Hivert B, Leduc I, Leyronnas C, Macro M, Maigre M, Mariette C, Mineur P, Rigaudeau S, Royer B, Vincent L, Mckay J, Perrial E, and Garderet L
- Subjects
- Child, Humans, Prognosis, Chromosome Aberrations, Monoclonal Gammopathy of Undetermined Significance diagnosis, Paraproteinemias genetics, Paraproteinemias complications, Multiple Myeloma pathology
- Abstract
Familial forms of monoclonal gammopathy, defined as multiple myeloma (MM) or Monoclonal Gammopathy of Undetermined Significance (MGUS), are relatively infrequent and most series reported in the literature describe a limited number of families. MM rarely occurs in a familial context. MGUS is observed much more commonly, which can in some cases evolve toward full-blown MM. Although recurrent cytogenetic abnormalities have been described in tumor cells of sporadic cases of MM, the pathogenesis of familial MM remains largely unexplained. In order to identify genetic factors predisposing to familial monoclonal gammopathy, the Intergroupe Francophone du Myélome identified 318 families with at least two confirmed cases of monoclonal gammopathy. There were 169 families with parent/child pairs and 164 families with cases in at least two siblings, compatible with an autosomal transmission. These familial cases were compared with sporadic cases who were matched for age at diagnosis, sex and immunoglobulin isotype, with 10 sporadic cases for each familial case. The gender distribution, age and immunoglobulin subtypes of familial cases were unremarkable in comparison to sporadic cases. With a median follow-up of 7.4 years after diagnosis, the percentage of MGUS cases having evolved to MM was 3%. The median overall survival of the 148 familial MM cases was longer than that of matched sporadic cases, with projected values of 7.6 and 16.1 years in patients older and younger than 65 years, respectively. These data suggest that familial cases of monoclonal gammopathy are similar to sporadic cases in terms of clinical presentation and carry a better prognosis., (© 2023 The Authors. American Journal of Hematology published by Wiley Periodicals LLC.)
- Published
- 2023
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34. Author Correction: Functional dissection of inherited non-coding variation influencing multiple myeloma risk.
- Author
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Ajore R, Niroula A, Pertesi M, Cafaro C, Thodberg M, Went M, Bao EL, Duran-Lozano L, Lopez de Lapuente Portilla A, Olafsdottir T, Ugidos-Damboriena N, Magnusson O, Samur M, Lareau CA, Halldorsson GH, Thorleifsson G, Norddahl GL, Gunnarsdottir K, Försti A, Goldschmidt H, Hemminki K, van Rhee F, Kimber S, Sperling AS, Kaiser M, Anderson K, Jonsdottir I, Munshi N, Rafnar T, Waage A, Weinhold N, Thorsteinsdottir U, Sankaran VG, Stefansson K, Houlston R, and Nilsson B
- Published
- 2022
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35. Genome-wide association study on 13 167 individuals identifies regulators of blood CD34+cell levels.
- Author
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Lopez de Lapuente Portilla A, Ekdahl L, Cafaro C, Ali Z, Miharada N, Thorleifsson G, Žemaitis K, Lamarca Arrizabalaga A, Thodberg M, Pertesi M, Dhapola P, Bao E, Niroula A, Bali D, Norddahl G, Ugidos Damboriena N, Sankaran VG, Karlsson G, Thorsteinsdottir U, Larsson J, Stefansson K, and Nilsson B
- Subjects
- Antigens, CD34 metabolism, Hematopoietic Stem Cell Mobilization, Humans, Genome-Wide Association Study, Hematopoietic Stem Cells metabolism
- Abstract
Stem cell transplantation is a cornerstone in the treatment of blood malignancies. The most common method to harvest stem cells for transplantation is by leukapheresis, requiring mobilization of CD34+ hematopoietic stem and progenitor cells (HSPCs) from the bone marrow into the blood. Identifying the genetic factors that control blood CD34+ cell levels could reveal new drug targets for HSPC mobilization. Here we report the first large-scale, genome-wide association study on blood CD34+ cell levels. Across 13 167 individuals, we identify 9 significant and 2 suggestive associations, accounted for by 8 loci (PPM1H, CXCR4, ENO1-RERE, ITGA9, ARHGAP45, CEBPA, TERT, and MYC). Notably, 4 of the identified associations map to CXCR4, showing that bona fide regulators of blood CD34+ cell levels can be identified through genetic variation. Further, the most significant association maps to PPM1H, encoding a serine/threonine phosphatase never previously implicated in HSPC biology. PPM1H is expressed in HSPCs, and the allele that confers higher blood CD34+ cell levels downregulates PPM1H. Through functional fine-mapping, we find that this downregulation is caused by the variant rs772557-A, which abrogates an MYB transcription factor-binding site in PPM1H intron 1 that is active in specific HSPC subpopulations, including hematopoietic stem cells, and interacts with the promoter by chromatin looping. Furthermore, PPM1H knockdown increases the proportion of CD34+ and CD34+90+ cells in cord blood assays. Our results provide the first large-scale analysis of the genetic architecture of blood CD34+ cell levels and warrant further investigation of PPM1H as a potential inhibition target for stem cell mobilization., (© 2022 by The American Society of Hematology.)
- Published
- 2022
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36. Functional dissection of inherited non-coding variation influencing multiple myeloma risk.
- Author
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Ajore R, Niroula A, Pertesi M, Cafaro C, Thodberg M, Went M, Bao EL, Duran-Lozano L, Lopez de Lapuente Portilla A, Olafsdottir T, Ugidos-Damboriena N, Magnusson O, Samur M, Lareau CA, Halldorsson GH, Thorleifsson G, Norddahl GL, Gunnarsdottir K, Försti A, Goldschmidt H, Hemminki K, van Rhee F, Kimber S, Sperling AS, Kaiser M, Anderson K, Jonsdottir I, Munshi N, Rafnar T, Waage A, Weinhold N, Thorsteinsdottir U, Sankaran VG, Stefansson K, Houlston R, and Nilsson B
- Subjects
- Adaptor Proteins, Signal Transducing genetics, Adaptor Proteins, Signal Transducing immunology, Antineoplastic Combined Chemotherapy Protocols, B-Lymphocytes immunology, Base Sequence, Cell Cycle Proteins genetics, Cell Cycle Proteins immunology, Chromatin chemistry, Chromatin immunology, Chromosomal Proteins, Non-Histone genetics, Chromosomal Proteins, Non-Histone immunology, DNA, Intergenic immunology, Gene Expression Regulation, Neoplastic, Guanine Nucleotide Exchange Factors genetics, Guanine Nucleotide Exchange Factors immunology, Humans, Inheritance Patterns, Multiple Myeloma drug therapy, Multiple Myeloma immunology, Multiple Myeloma pathology, Neoplasm Proteins immunology, Plasma Cells immunology, Polymorphism, Genetic, Primary Cell Culture, Quantitative Trait Loci, Repressor Proteins genetics, Repressor Proteins immunology, Risk Assessment, Transcriptional Elongation Factors genetics, Transcriptional Elongation Factors immunology, B-Lymphocytes pathology, DNA, Intergenic genetics, Genetic Predisposition to Disease, Multiple Myeloma genetics, Neoplasm Proteins genetics, Plasma Cells pathology
- Abstract
Thousands of non-coding variants have been associated with increased risk of human diseases, yet the causal variants and their mechanisms-of-action remain obscure. In an integrative study combining massively parallel reporter assays (MPRA), expression analyses (eQTL, meQTL, PCHiC) and chromatin accessibility analyses in primary cells (caQTL), we investigate 1,039 variants associated with multiple myeloma (MM). We demonstrate that MM susceptibility is mediated by gene-regulatory changes in plasma cells and B-cells, and identify putative causal variants at six risk loci (SMARCD3, WAC, ELL2, CDCA7L, CEP120, and PREX1). Notably, three of these variants co-localize with significant plasma cell caQTLs, signaling the presence of causal activity at these precise genomic positions in an endogenous chromosomal context in vivo. Our results provide a systematic functional dissection of risk loci for a hematologic malignancy., (© 2022. The Author(s).)
- Published
- 2022
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37. Author Correction: Germline variants at SOHLH2 influence multiple myeloma risk.
- Author
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Duran-Lozano L, Thorleifsson G, Lopez de Lapuente Portilla A, Niroula A, Went M, Thodberg M, Pertesi M, Ajore R, Cafaro C, Olason PI, Stefansdottir L, Bragi Walters G, Halldorsson GH, Turesson I, Kaiser MF, Weinhold N, Abildgaard N, Andersen NF, Mellqvist UH, Waage A, Juul-Vangsted A, Thorsteinsdottir U, Hansson M, Houlston R, Rafnar T, Stefansson K, and Nilsson B
- Published
- 2021
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38. Germline variants at SOHLH2 influence multiple myeloma risk.
- Author
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Duran-Lozano L, Thorleifsson G, Lopez de Lapuente Portilla A, Niroula A, Went M, Thodberg M, Pertesi M, Ajore R, Cafaro C, Olason PI, Stefansdottir L, Bragi Walters G, Halldorsson GH, Turesson I, Kaiser MF, Weinhold N, Abildgaard N, Andersen NF, Mellqvist UH, Waage A, Juul-Vangsted A, Thorsteinsdottir U, Hansson M, Houlston R, Rafnar T, Stefansson K, and Nilsson B
- Subjects
- Aged, Female, Gene Frequency, Genetic Predisposition to Disease, Genome-Wide Association Study, Germ Cells metabolism, Germ-Line Mutation, Humans, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Basic Helix-Loop-Helix Transcription Factors genetics, Multiple Myeloma genetics
- Abstract
Multiple myeloma (MM) is caused by the uncontrolled, clonal expansion of plasma cells. While there is epidemiological evidence for inherited susceptibility, the molecular basis remains incompletely understood. We report a genome-wide association study totalling 5,320 cases and 422,289 controls from four Nordic populations, and find a novel MM risk variant at SOHLH2 at 13q13.3 (risk allele frequency = 3.5%; odds ratio = 1.38; P = 2.2 × 10
-14 ). This gene encodes a transcription factor involved in gametogenesis that is normally only weakly expressed in plasma cells. The association is represented by 14 variants in linkage disequilibrium. Among these, rs75712673 maps to a genomic region with open chromatin in plasma cells, and upregulates SOHLH2 in this cell type. Moreover, rs75712673 influences transcriptional activity in luciferase assays, and shows a chromatin looping interaction with the SOHLH2 promoter. Our work provides novel insight into MM susceptibility.- Published
- 2021
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39. Accelerating target deconvolution for therapeutic antibody candidates using highly parallelized genome editing.
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Mattsson J, Ekdahl L, Junghus F, Ajore R, Erlandsson E, Niroula A, Pertesi M, Frendéus B, Teige I, and Nilsson B
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- Antibodies metabolism, CRISPR-Cas Systems genetics, Cell Line, Tumor, Cell Survival genetics, Cell Survival physiology, Clustered Regularly Interspaced Short Palindromic Repeats genetics, Humans, Gene Editing
- Abstract
Therapeutic antibodies are transforming the treatment of cancer and autoimmune diseases. Today, a key challenge is finding antibodies against new targets. Phenotypic discovery promises to achieve this by enabling discovery of antibodies with therapeutic potential without specifying the molecular target a priori. Yet, deconvoluting the targets of phenotypically discovered antibodies remains a bottleneck; efficient deconvolution methods are needed for phenotypic discovery to reach its full potential. Here, we report a comprehensive investigation of a target deconvolution approach based on pooled CRISPR/Cas9. Applying this approach within three real-world phenotypic discovery programs, we rapidly deconvolute the targets of 38 of 39 test antibodies (97%), a success rate far higher than with existing approaches. Moreover, the approach scales well, requires much less work, and robustly identifies antibodies against the major histocompatibility complex. Our data establish CRISPR/Cas9 as a highly efficient target deconvolution approach, with immediate implications for the development of antibody-based drugs.
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- 2021
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40. S100A6 is a critical regulator of hematopoietic stem cells.
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Grahn THM, Niroula A, Végvári Á, Oburoglu L, Pertesi M, Warsi S, Safi F, Miharada N, Garcia SC, Siva K, Liu Y, Rörby E, Nilsson B, Zubarev RA, and Karlsson S
- Abstract
The fate options of hematopoietic stem cells (HSCs) include self-renewal, differentiation, migration, and apoptosis. HSCs self-renewal divisions in stem cells are required for rapid regeneration during tissue damage and stress, but how precisely intracellular calcium signals are regulated to maintain fate options in normal hematopoiesis is unclear. S100A6 knockout (KO) HSCs have reduced total cell numbers in the HSC compartment, decreased myeloid output, and increased apoptotic HSC numbers in steady state. S100A6KO HSCs had impaired self-renewal and regenerative capacity, not responding to 5-Fluorouracil. Our transcriptomic and proteomic profiling suggested that S100A6 is a critical HSC regulator. Intriguingly, S100A6KO HSCs showed decreased levels of phosphorylated Akt (p-Akt) and Hsp90, with an impairment of mitochondrial respiratory capacity and a reduction of mitochondrial calcium levels. We showed that S100A6 regulates intracellular and mitochondria calcium buffering of HSC upon cytokine stimulation and have demonstrated that Akt activator SC79 reverts the levels of intracellular and mitochondrial calcium in HSC. Hematopoietic colony-forming activity and the Hsp90 activity of S100A6KO are restored through activation of the Akt pathway. We show that p-Akt is the prime downstream mechanism of S100A6 in the regulation of HSC self-renewal by specifically governing mitochondrial metabolic function and Hsp90 protein quality.
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- 2020
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41. Correction: S100A6 is a critical regulator of hematopoietic stem cells.
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Grahn THM, Niroula A, Végvári Á, Oburoglu L, Pertesi M, Warsi S, Safi F, Miharada N, Capellera-Garcia S, Siva K, Liu Y, Rörby E, Nilsson B, Zubarev RA, and Karlsson S
- Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
- Published
- 2020
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42. Genetic predisposition for multiple myeloma.
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Pertesi M, Went M, Hansson M, Hemminki K, Houlston RS, and Nilsson B
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- Alleles, Clinical Trials as Topic, Genetic Variation, Genome, Human, Genome-Wide Association Study, Genotype, Humans, Multiple Myeloma epidemiology, Polymorphism, Single Nucleotide, Risk, Sequence Analysis, DNA, Genetic Predisposition to Disease, Multiple Myeloma genetics
- Abstract
Multiple myeloma (MM) is the second most common blood malignancy. Epidemiological family studies going back to the 1920s have provided evidence for familial aggregation, suggesting a subset of cases have an inherited genetic background. Recently, studies aimed at explaining this phenomenon have begun to provide direct evidence for genetic predisposition to MM. Genome-wide association studies have identified common risk alleles at 24 independent loci. Sequencing studies of familial cases and kindreds have begun to identify promising candidate genes where variants with strong effects on MM risk might reside. Finally, functional studies are starting to give insight into how identified risk alleles promote the development of MM. Here, we review recent findings in MM predisposition field, and highlight open questions and future directions.
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- 2020
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43. Exome sequencing identifies germline variants in DIS3 in familial multiple myeloma.
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Pertesi M, Vallée M, Wei X, Revuelta MV, Galia P, Demangel D, Oliver J, Foll M, Chen S, Perrial E, Garderet L, Corre J, Leleu X, Boyle EM, Decaux O, Rodon P, Kolb B, Slama B, Mineur P, Voog E, Le Bris C, Fontan J, Maigre M, Beaumont M, Azais I, Sobol H, Vignon M, Royer B, Perrot A, Fuzibet JG, Dorvaux V, Anglaret B, Cony-Makhoul P, Berthou C, Desquesnes F, Pegourie B, Leyvraz S, Mosser L, Frenkiel N, Augeul-Meunier K, Leduc I, Leyronnas C, Voillat L, Casassus P, Mathiot C, Cheron N, Paubelle E, Moreau P, Bignon YJ, Joly B, Bourquard P, Caillot D, Naman H, Rigaudeau S, Marit G, Macro M, Lambrecht I, Cliquennois M, Vincent L, Helias P, Avet-Loiseau H, Moreno V, Reis RM, Varkonyi J, Kruszewski M, Vangsted AJ, Jurczyszyn A, Zaucha JM, Sainz J, Krawczyk-Kulis M, Wątek M, Pelosini M, Iskierka-Jażdżewska E, Grząśko N, Martinez-Lopez J, Jerez A, Campa D, Buda G, Lesueur F, Dudziński M, García-Sanz R, Nagler A, Rymko M, Jamroziak K, Butrym A, Canzian F, Obazee O, Nilsson B, Klein RJ, Lipkin SM, McKay JD, and Dumontet C
- Subjects
- Female, Genetic Predisposition to Disease genetics, Humans, Pedigree, Exome Sequencing methods, Exome genetics, Exosome Multienzyme Ribonuclease Complex genetics, Germ-Line Mutation genetics, Multiple Myeloma genetics
- Published
- 2019
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44. Essential genes shape cancer genomes through linear limitation of homozygous deletions.
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Pertesi M, Ekdahl L, Palm A, Johnsson E, Järvstråt L, Wihlborg AK, and Nilsson B
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- Cell Line, Tumor, DNA genetics, Gene Dosage, Genome, Human, HEK293 Cells, Humans, Linear Models, RNA metabolism, Carcinoma, Non-Small-Cell Lung genetics, Gene Deletion, Genes, Essential, Homozygote, Lung Neoplasms genetics
- Abstract
The landscape of somatic acquired deletions in cancer cells is shaped by positive and negative selection. Recurrent deletions typically target tumor suppressor, leading to positive selection. Simultaneously, loss of a nearby essential gene can lead to negative selection, and introduce latent vulnerabilities specific to cancer cells. Here we show that, under basic assumptions on positive and negative selection, deletion limitation gives rise to a statistical pattern where the frequency of homozygous deletions decreases approximately linearly between the deletion target gene and the nearest essential genes. Using DNA copy number data from 9,744 human cancer specimens, we demonstrate that linear deletion limitation exists and exposes deletion-limiting genes for seven known deletion targets ( CDKN2A , RB1, PTEN , MAP2K4 , NF1 , SMAD4 , and LINC00290 ). Downstream analysis of pooled CRISPR/Cas9 data provide further evidence of essentiality. Our results provide further insight into how the deletion landscape is shaped and identify potentially targetable vulnerabilities., Competing Interests: Competing interestsThe authors declare no competing interests.
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- 2019
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45. KRAS mutations in blood circulating cell-free DNA: a pancreatic cancer case-control.
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Le Calvez-Kelm F, Foll M, Wozniak MB, Delhomme TM, Durand G, Chopard P, Pertesi M, Fabianova E, Adamcakova Z, Holcatova I, Foretova L, Janout V, Vallee MP, Rinaldi S, Brennan P, McKay JD, Byrnes GB, and Scelo G
- Subjects
- Aged, Biomarkers, Tumor blood, CA-19-9 Antigen blood, Carcinoma, Pancreatic Ductal blood, Carcinoma, Pancreatic Ductal pathology, Case-Control Studies, Circulating Tumor DNA blood, Czech Republic, DNA Mutational Analysis, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Neoplasm Staging, Pancreatic Neoplasms blood, Pancreatic Neoplasms pathology, Phenotype, Pilot Projects, Predictive Value of Tests, Proto-Oncogene Proteins p21(ras) blood, Reproducibility of Results, Slovakia, Biomarkers, Tumor genetics, Carcinoma, Pancreatic Ductal genetics, Circulating Tumor DNA genetics, Mutation, Pancreatic Neoplasms genetics, Proto-Oncogene Proteins p21(ras) genetics
- Abstract
The utility of KRAS mutations in plasma circulating cell-free DNA (cfDNA) samples as non-invasive biomarkers for the detection of pancreatic cancer has never been evaluated in a large case-control series. We applied a KRAS amplicon-based deep sequencing strategy combined with analytical pipeline specifically designed for the detection of low-abundance mutations to screen plasma samples of 437 pancreatic cancer cases, 141 chronic pancreatitis subjects, and 394 healthy controls. We detected mutations in 21.1% (N=92) of cases, of whom 82 (89.1%) carried at least one mutation at hotspot codons 12, 13 or 61, with mutant allelic fractions from 0.08% to 79%. Advanced stages were associated with an increased proportion of detection, with KRAS cfDNA mutations detected in 10.3%, 17,5% and 33.3% of cases with local, regional and systemic stages, respectively. We also detected KRAS cfDNA mutations in 3.7% (N=14) of healthy controls and in 4.3% (N=6) of subjects with chronic pancreatitis, but at significantly lower allelic fractions than in cases. Combining cfDNA KRAS mutations and CA19-9 plasma levels on a limited set of case-control samples did not improve the overall performance of the biomarkers as compared to CA19-9 alone. Whether the limited sensitivity and specificity observed in our series of KRAS mutations in plasma cfDNA as biomarkers for pancreatic cancer detection are attributable to methodological limitations or to the biology of cfDNA should be further assessed in large case-control series.
- Published
- 2016
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46. No evidence that protein truncating variants in BRIP1 are associated with breast cancer risk: implications for gene panel testing.
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Easton DF, Lesueur F, Decker B, Michailidou K, Li J, Allen J, Luccarini C, Pooley KA, Shah M, Bolla MK, Wang Q, Dennis J, Ahmad J, Thompson ER, Damiola F, Pertesi M, Voegele C, Mebirouk N, Robinot N, Durand G, Forey N, Luben RN, Ahmed S, Aittomäki K, Anton-Culver H, Arndt V, Baynes C, Beckman MW, Benitez J, Van Den Berg D, Blot WJ, Bogdanova NV, Bojesen SE, Brenner H, Chang-Claude J, Chia KS, Choi JY, Conroy DM, Cox A, Cross SS, Czene K, Darabi H, Devilee P, Eriksson M, Fasching PA, Figueroa J, Flyger H, Fostira F, García-Closas M, Giles GG, Glendon G, González-Neira A, Guénel P, Haiman CA, Hall P, Hart SN, Hartman M, Hooning MJ, Hsiung CN, Ito H, Jakubowska A, James PA, John EM, Johnson N, Jones M, Kabisch M, Kang D, Kosma VM, Kristensen V, Lambrechts D, Li N, Lindblom A, Long J, Lophatananon A, Lubinski J, Mannermaa A, Manoukian S, Margolin S, Matsuo K, Meindl A, Mitchell G, Muir K, Nevelsteen I, van den Ouweland A, Peterlongo P, Phuah SY, Pylkäs K, Rowley SM, Sangrajrang S, Schmutzler RK, Shen CY, Shu XO, Southey MC, Surowy H, Swerdlow A, Teo SH, Tollenaar RA, Tomlinson I, Torres D, Truong T, Vachon C, Verhoef S, Wong-Brown M, Zheng W, Zheng Y, Nevanlinna H, Scott RJ, Andrulis IL, Wu AH, Hopper JL, Couch FJ, Winqvist R, Burwinkel B, Sawyer EJ, Schmidt MK, Rudolph A, Dörk T, Brauch H, Hamann U, Neuhausen SL, Milne RL, Fletcher O, Pharoah PD, Campbell IG, Dunning AM, Le Calvez-Kelm F, Goldgar DE, Tavtigian SV, and Chenevix-Trench G
- Subjects
- Adult, Aged, Breast Neoplasms epidemiology, Breast Neoplasms genetics, Cohort Studies, Fanconi Anemia Complementation Group Proteins, Female, Genetic Association Studies, Humans, Middle Aged, Risk, White People genetics, Breast Neoplasms metabolism, DNA-Binding Proteins genetics, Genetic Predisposition to Disease, Mutation, RNA Helicases genetics
- Abstract
Background: BRCA1 interacting protein C-terminal helicase 1 (BRIP1) is one of the Fanconi Anaemia Complementation (FANC) group family of DNA repair proteins. Biallelic mutations in BRIP1 are responsible for FANC group J, and previous studies have also suggested that rare protein truncating variants in BRIP1 are associated with an increased risk of breast cancer. These studies have led to inclusion of BRIP1 on targeted sequencing panels for breast cancer risk prediction., Methods: We evaluated a truncating variant, p.Arg798Ter (rs137852986), and 10 missense variants of BRIP1, in 48 144 cases and 43 607 controls of European origin, drawn from 41 studies participating in the Breast Cancer Association Consortium (BCAC). Additionally, we sequenced the coding regions of BRIP1 in 13 213 cases and 5242 controls from the UK, 1313 cases and 1123 controls from three population-based studies as part of the Breast Cancer Family Registry, and 1853 familial cases and 2001 controls from Australia., Results: The rare truncating allele of rs137852986 was observed in 23 cases and 18 controls in Europeans in BCAC (OR 1.09, 95% CI 0.58 to 2.03, p=0.79). Truncating variants were found in the sequencing studies in 34 cases (0.21%) and 19 controls (0.23%) (combined OR 0.90, 95% CI 0.48 to 1.70, p=0.75)., Conclusions: These results suggest that truncating variants in BRIP1, and in particular p.Arg798Ter, are not associated with a substantial increase in breast cancer risk. Such observations have important implications for the reporting of results from breast cancer screening panels., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/)
- Published
- 2016
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47. Rare Circulating Cells in Familial Waldenström Macroglobulinemia Displaying the MYD88 L265P Mutation Are Enriched by Epstein-Barr Virus Immortalization.
- Author
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Pertesi M, Galia P, Nazaret N, Vallée M, Garderet L, Leleu X, Avet-Loiseau H, Foll M, Byrnes G, Lachuer J, McKay JD, and Dumontet C
- Subjects
- Adult, Aged, Aged, 80 and over, Alleles, Cell Division, Cells, Cultured, Clone Cells metabolism, Clone Cells virology, Female, Genetic Predisposition to Disease, Herpesvirus 4, Human physiology, Humans, Immunoglobulin M genetics, Lymphocytes metabolism, Lymphocytes virology, Male, Middle Aged, Monoclonal Gammopathy of Undetermined Significance blood, Monoclonal Gammopathy of Undetermined Significance genetics, Monoclonal Gammopathy of Undetermined Significance pathology, Waldenstrom Macroglobulinemia blood, Waldenstrom Macroglobulinemia genetics, Cell Transformation, Viral, Clone Cells pathology, Lymphocytes pathology, Mutation, Missense, Myeloid Differentiation Factor 88 genetics, Point Mutation, Waldenstrom Macroglobulinemia pathology
- Abstract
The MYD88 L265P is a recurrent somatic mutation in neoplastic cells from patients with Waldenström Macroglobulinemia (WM). We identified the MYD88 L265P mutation in three individuals from unrelated families, but its presence did not explain the disease segregation within these WM pedigrees. We observed the mutation in these three individuals at high allele fractions in DNA extracted from EBV-immortalized Lymphoblastoid cell lines established from peripheral blood (LCL), but at much lower allele fractions in DNA extracted directly from peripheral blood, suggesting that this mutation is present in a clonal cell subpopulation rather than of germ-line origin. Furthermore, we observed that the MYD88 L265P mutation is enriched in WM families, detected in 40.5% of patients with familial WM or MGUS (10/22 WM, 5/15 MGUS), compared to 3.5% of patients with familial MM or MGUS (0/72 MM, 4/41 MGUS) (p = 10-7). The mutant allele frequency increased with passages in vitro after immortalization with Epstein-Barr virus (EBV) consistent with the MYD88 L265P described gain-of-function proposed for this mutation. The MYD88 L265P mutation appears to be frequently present in circulating cells in patients with WM, and MGUS, and these cells are amenable to immortalization by EBV.
- Published
- 2015
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48. Common variants at 9q22.33, 14q13.3, and ATM loci, and risk of differentiated thyroid cancer in the French Polynesian population.
- Author
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Maillard S, Damiola F, Clero E, Pertesi M, Robinot N, Rachédi F, Boissin JL, Sebbag J, Shan L, Bost-Bezeaud F, Petitdidier P, Doyon F, Xhaard C, Rubino C, Blanché H, Drozdovitch V, Lesueur F, and de Vathaire F
- Subjects
- Adenocarcinoma, Follicular epidemiology, Adult, Carcinoma, Papillary epidemiology, Case-Control Studies, Cell Differentiation, Female, Forkhead Transcription Factors genetics, Genetic Predisposition to Disease, Genotype, Humans, Male, Middle Aged, Nuclear Proteins genetics, Polynesia epidemiology, Risk Factors, Thyroid Neoplasms epidemiology, Thyroid Nuclear Factor 1, Transcription Factors genetics, Adenocarcinoma, Follicular genetics, Ataxia Telangiectasia Mutated Proteins genetics, Carcinoma, Papillary genetics, Chromosomes, Human, Pair 14 genetics, Chromosomes, Human, Pair 9 genetics, Polymorphism, Single Nucleotide genetics, Thyroid Neoplasms genetics
- Abstract
Background: French Polynesia has one of the highest incidence rates of thyroid cancer worldwide. Relationships with the atmospheric nuclear weapons tests and other environmental, biological, or behavioral factors have already been reported, but genetic susceptibility has yet to be investigated. We assessed the contribution of polymorphisms at the 9q22.33 and 14q13.3 loci identified by GWAS, and within the DNA repair gene ATM, to the risk of differentiated thyroid cancer (DTC) in 177 cases and 275 matched controls from the native population., Principal Findings: For the GWAS SNP rs965513 near FOXE1, an association was found between genotypes G/A and A/A, and risk of DTC. A multiplicative effect of allele A was even noted. An excess risk was also observed in individuals carrying two long alleles of the poly-alanine tract expansion in FOXE1, while no association was observed with rs1867277 falling in the promoter region of the gene. In contrast, the GWAS SNP rs944289 (NKX2-1) did not show any significant association. Although the missense substitution D1853N (rs1801516) in ATM was rare in the population, carriers of the minor allele (A) also showed an excess risk. The relationships between these five polymorphisms and the risk of DTC were not contingent on the body surface area, body mass index, ethnicity or dietary iodine intake. However, an interaction was evidenced between the thyroid radiation dose and rs944289., Significance: A clear link could not be established between the high incidence in French Polynesia and the studied polymorphisms, involved in susceptibility to DTC in other populations. Important variation in allele frequencies was observed in the Polynesian population as compared to the European populations. For FOXE1 rs965513, the direction of association and the effect size was similar to that observed in other populations, whereas for ATM rs1801516, the minor allele was associated to an increased risk in the Polynesian population and with a decreased risk in the European population.
- Published
- 2015
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49. Common variants at the 9q22.33, 14q13.3 and ATM loci, and risk of differentiated thyroid cancer in the Cuban population.
- Author
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Pereda CM, Lesueur F, Pertesi M, Robinot N, Lence-Anta JJ, Turcios S, Velasco M, Chappe M, Infante I, Bustillo M, García A, Clero E, Xhaard C, Ren Y, Maillard S, Damiola F, Rubino C, Salazar S, Rodriguez R, Ortiz RM, and de Vathaire F
- Subjects
- Alleles, Cuba epidemiology, Gene Frequency, Genetic Predisposition to Disease, Genotype, Humans, Neoplasm Grading, Polymorphism, Genetic, Polymorphism, Single Nucleotide, Risk, Thyroid Neoplasms epidemiology, Ataxia Telangiectasia Mutated Proteins genetics, Chromosomes, Human, Pair 14, Chromosomes, Human, Pair 9, Genetic Variation, Quantitative Trait Loci, Thyroid Neoplasms genetics, Thyroid Neoplasms pathology
- Abstract
Background: The incidence of differentiated thyroid carcinoma (DTC) in Cuba is low and the contribution of host genetic factors to DTC in this population has not been investigated so far. Our goal was to assess the role of known risk polymorphisms in DTC cases living in Havana. We genotyped five polymorphisms located at the DTC susceptibility loci on chromosome 14q13.3 near NK2 homeobox 1 (NKX2-1), on chromosome 9q22.33 near Forkhead factor E1 (FOXE1) and within the DNA repair gene Ataxia-Telangiectasia Mutated (ATM) in 203 cases and 212 age- and sex- matched controls. Potential interactions between these polymorphisms and other DTC risk factors such as body surface area, body mass index, size, ethnicity, and, for women, the parity were also examined., Results: Significant association with DTC risk was found for rs944289 near NKX2-1 (OR per A allele = 1.6, 95% CI: 1.2-2.1), and three polymorphisms near or within FOXE1, namely rs965513 (OR per A allele = 1.7, 95% CI: 1.2-2.3), rs1867277 in the promoter region of the gene (OR per A allele = 1.5, 95% CI: 1.1-1.9) and the poly-alanine tract expansion polymorphism rs71369530 (OR per Long Allele = 1.8, 95% CI: 1.3-2.5), only the 2 latter remaining significant when correcting for multiple tests. Overall, no association between DTC and the coding SNP D1853N (rs1801516) in ATM (OR per A Allele = 1.1, 95% CI: 0.7-1.7) was seen. Nevertheless women who had 2 or more pregnancies had a 3.5-fold increase in risk of DTC if they carried the A allele (OR 3.5, 95% CI: 3.2-9.8) as compared to 0.8 (OR 0.8, 95% CI: 0.4-1.6) in those who had fewer than 2., Conclusions: We confirmed in the Cuban population the role of the loci previously associated with DTC susceptibility in European and Japanese populations through genome-wide association studies. Our results on ATM and the number of pregnancies raise interesting questions on the mechanisms by which oestrogens, or other hormones, alter the DNA damage response and DNA repair through the regulation of key effector proteins such as ATM. Due to the small size of our study and to multiple tests, all these results warrant further investigation.
- Published
- 2015
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50. Rare key functional domain missense substitutions in MRE11A, RAD50, and NBN contribute to breast cancer susceptibility: results from a Breast Cancer Family Registry case-control mutation-screening study.
- Author
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Damiola F, Pertesi M, Oliver J, Le Calvez-Kelm F, Voegele C, Young EL, Robinot N, Forey N, Durand G, Vallée MP, Tao K, Roane TC, Williams GJ, Hopper JL, Southey MC, Andrulis IL, John EM, Goldgar DE, Lesueur F, and Tavtigian SV
- Subjects
- Acid Anhydride Hydrolases, Adult, Amino Acid Substitution, Ataxia Telangiectasia Mutated Proteins genetics, BRCA1 Protein genetics, BRCA2 Protein genetics, Base Sequence, Case-Control Studies, Checkpoint Kinase 2 genetics, DNA Breaks, Double-Stranded, DNA Repair genetics, Female, Gene Frequency, Genetic Testing, Humans, MRE11 Homologue Protein, Middle Aged, Mutation, Missense, Protein Isoforms genetics, Sequence Alignment, Sequence Analysis, DNA, Breast Neoplasms genetics, Cell Cycle Proteins genetics, DNA Repair Enzymes genetics, DNA-Binding Proteins genetics, Genetic Predisposition to Disease, Nuclear Proteins genetics
- Abstract
Introduction: The MRE11A-RAD50-Nibrin (MRN) complex plays several critical roles related to repair of DNA double-strand breaks. Inherited mutations in the three components predispose to genetic instability disorders and the MRN genes have been implicated in breast cancer susceptibility, but the underlying data are not entirely convincing. Here, we address two related questions: (1) are some rare MRN variants intermediate-risk breast cancer susceptibility alleles, and if so (2) do the MRN genes follow a BRCA1/BRCA2 pattern wherein most susceptibility alleles are protein-truncating variants, or do they follow an ATM/CHEK2 pattern wherein half or more of the susceptibility alleles are missense substitutions?, Methods: Using high-resolution melt curve analysis followed by Sanger sequencing, we mutation screened the coding exons and proximal splice junction regions of the MRN genes in 1,313 early-onset breast cancer cases and 1,123 population controls. Rare variants in the three genes were pooled using bioinformatics methods similar to those previously applied to ATM, BRCA1, BRCA2, and CHEK2, and then assessed by logistic regression., Results: Re-analysis of our ATM, BRCA1, and BRCA2 mutation screening data revealed that these genes do not harbor pathogenic alleles (other than modest-risk SNPs) with minor allele frequencies>0.1% in Caucasian Americans, African Americans, or East Asians. Limiting our MRN analyses to variants with allele frequencies of <0.1% and combining protein-truncating variants, likely spliceogenic variants, and key functional domain rare missense substitutions, we found significant evidence that the MRN genes are indeed intermediate-risk breast cancer susceptibility genes (odds ratio (OR)=2.88, P=0.0090). Key domain missense substitutions were more frequent than the truncating variants (24 versus 12 observations) and conferred a slightly higher OR (3.07 versus 2.61) with a lower P value (0.029 versus 0.14)., Conclusions: These data establish that MRE11A, RAD50, and NBN are intermediate-risk breast cancer susceptibility genes. Like ATM and CHEK2, their spectrum of pathogenic variants includes a relatively high proportion of missense substitutions. However, the data neither establish whether variants in each of the three genes are best evaluated under the same analysis model nor achieve clinically actionable classification of individual variants observed in this study.
- Published
- 2014
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