20 results on '"Martin-Denavit T"'
Search Results
2. Phenotype variability of two FAP families with an identical APC germline mutation at codon 1465: a potential modifier effect?
- Author
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Martin-Denavit, T, Duthel, S, Giraud, S, Olschwang, S, Saurin, J C, and Plauchu, H
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- 2001
3. Erratum: A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma (Nature (2011) 480:94-98 doi:10.1038/nature10539)
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Bertolotto, C., Lesueur, F., Giuliano, S., Strub, T., De Lichy, M., Bille, K., Dessen, P., D'Hayer, B., Mohamdi, H., Remenieras, A., Maubec, E., De La Fouchardiere, A., Molinie, V., Vabres, P., Dalle, S., Poulalhon, N., Martin-Denavit, T., Thomas, L., Andry-Benzaquen, P., Dupin, N., Boitier, F., Rossi, A., Perrot, J. -L., Labeille, B., Robert, C., Escudier, B., Caron, O., Brugieres, L., Saule, S., Gardie, B., Gad, S., Richard, S., Couturier, J., Teh, B. T., Ghiorzo, P., Pastorino, L., Puig, S., Badenas, C., Olsson, H., Ingvar, C., Rouleau, E., Lidereau, R., Bahadoran, P., Vielh, P., Corda, E., Blanche, H., Zelenika, D., Galan, P., Chaudru, V., Lenoir, G. M., Lathrop, M., Davidson, I., Avril, M. -F., Demenais, F., Ballotti, R., and Bressac-De Paillerets, B.
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- 2016
4. Genome-wide association study identifies novel loci predisposing to cutaneous melanoma†
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Amos, Ci, Wang, Le, Lee, Je, Gershenwald, Je, Chen, Wv, Fang, S, Kosoy, R, Zhang, M, Qureshi, Aa, Vattathil, S, Schacherer, Cw, Gardner, Jm, Wang, Y, Bishop, Dt, Barrett, Jh, Macgregor, S, Hayward, Nk, Martin, Ng, Duffy, Dl, Mann, Gj, Cust, A, Hopper, J, Brown, Km, Grimm, Ea, Xu, Y, Han, Y, Jing, K, Mchugh, C, Laurie, Cc, Doheny, Kf, Pugh, Ew, Seldin, Mf, Han, J, Wei, Q, Genomel, Investigators, Mega Investigators, Q., AMFS Investigators Mann GJ, Hopper, Jl, Aitken, Jf, Armstrong, Bk, Giles, Gg, Kefford, Rf, Cust, Ae, Jenkins, Ma, Schmid, H, Aguilera, P, Badenas, C, Carrera, C, Cuellar, F, Gabriel, D, Martinez, E, Gonzalez, M, Iglesias, P, Malvehy, J, Marti Laborda, R, Mila, M, Ogbah, Z, Butille, Ja, Puig, S, Alós, L, Arance, A, Arguís, P, Campo, A, Castel, T, Conill, C, Palou, J, Rull, R, Sánchez, M, Vidal Sicart, S, Vilalta, A, Vilella, R, Montgomery, Gw, Whiteman, Dc, Whiteman, D, Webb, P, Green, A, Parsons, P, Purdie, D, Hayward, N, Landi, Mt, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Bianchi, Giovanna, Ghiorzo, Paola, Pastorino, Lorenza, Bruno, William, Battistuzzi, Linda, Gargiulo, Sara, Nasti, Sabina, Gliori, S, Origone, Paola, Andreotti, V, Queirolo, P, Mackie, R, Lang, J, Bishop, Ja, Affleck, P, Harrison, J, Iles, Mm, Randerson Moor, J, Harland, M, Taylor, Jc, Whittaker, L, Kukalizch, K, Leake, S, Karpavicius, B, Haynes, S, Mack, T, Chan, M, Taylor, Y, Davies, J, King, P, Gruis, Na, van Nieuwpoort FA, Out, C, van der Drift, C, Bergman, W, Kukutsch, N, Bavinck, Jn, Bakker, B, van der Stoep, N, ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Olsson, H, Ingvar, C, Jönsson, G, Borg, Å, Måsbäck, A, Lundgren, L, Baeckenhorn, K, Nielsen, K, Casslén, As, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Molven, A, Avril, Mf, Bressac de Paillerets, B, Chaudru, V, Chateigner, N, Corda, E, Jeannin, P, Lesueur, F, de Lichy, M, Maubec, E, Mohamdi, H, Demenais, F, Andry Benzaquen, P, Bachollet, B, Bérard, F, Berthet, P, Boitier, F, Bonadona, V, Bonafé, Jl, Bonnetblanc, Jm, Cambazard, F, Caron, O, Caux, F, Chevrant Breton, J, Chompret, A, Dalle, S, Demange, L, Dereure, O, Doré, Mx, Doutre, Ms, Dugast, C, Faivre, L, Grange, F, Humbert, P, Joly, P, Kerob, D, Lasset, C, Leccia, Mt, Lenoir, G, Leroux, D, Levang, J, Lipsker, D, Mansard, S, Martin, L, Martin Denavit, T, Mateus, C, Michel, Jl, Morel, P, Olivier Faivre, L, Perrot, Jl, Robert, C, Ronger Savle, S, Sassolas, B, Souteyrand, P, Stoppa Lyonnet, D, Thomas, L, Vabres, P, Wierzbicka, E, Elder, D, Kanetsky, P, Knorr, J, Ming, M, Mitra, N, Ruffin, A, Van Belle, P, Debniak, T, Lubiński, J, Mirecka, A, Ertmański, S, Novakovic, S, Hocevar, M, Peric, B, Cerkovnik, P, Höiom, V, Hansson, J, Holland, Ea, Azizi, E, Galore Haskel, G, Friedman, E, Baron Epel, O, Scope, A, Pavlotsky, F, Yakobson, E, Cohen Manheim, I, Laitman, Y, Milgrom, R, Shimoni, I, and Kozlovaa, E.
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Genetic Markers ,Candidate gene ,Skin Neoplasms ,Ubiquitin-Protein Ligases ,Locus (genetics) ,Single-nucleotide polymorphism ,Genome-wide association study ,Biology ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Meta-Analysis as Topic ,Genetics ,Eye color ,Guanine Nucleotide Exchange Factors ,Humans ,SNP ,Genetic Predisposition to Disease ,Melanoma ,Molecular Biology ,Genetics (clinical) ,030304 developmental biology ,0303 health sciences ,Pigmentation ,Association Studies Articles ,General Medicine ,3. Good health ,Chromosomes, Human, Pair 1 ,Genetic Loci ,Genetic marker ,Case-Control Studies ,030220 oncology & carcinogenesis ,Cutaneous melanoma ,Genome-Wide Association Study - Abstract
We performed a multistage genome-wide association study of melanoma. In a discovery cohort of 1804 melanoma cases and 1026 controls, we identified loci at chromosomes 15q13.1 (HERC2/OCA2 region) and 16q24.3 (MC1R) regions that reached genome-wide significance within this study and also found strong evidence for genetic effects on susceptibility to melanoma from markers on chromosome 9p21.3 in the p16/ARF region and on chromosome 1q21.3 (ARNT/LASS2/ANXA9 region). The most significant single-nucleotide polymorphisms (SNPs) in the 15q13.1 locus (rs1129038 and rs12913832) lie within a genomic region that has profound effects on eye and skin color; notably, 50% of variability in eye color is associated with variation in the SNP rs12913832. Because eye and skin colors vary across European populations, we further evaluated the associations of the significant SNPs after carefully adjusting for European substructure. We also evaluated the top 10 most significant SNPs by using data from three other genome-wide scans. Additional in silico data provided replication of the findings from the most significant region on chromosome 1q21.3 rs7412746 (P = 6 × 10(-10)). Together, these data identified several candidate genes for additional studies to identify causal variants predisposing to increased risk for developing melanoma.
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- 2011
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5. Toriello–Carey syndrome and unbalanced translocation t(8;18)(p12;q22)
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Martin‐Denavit, T., primary, Till, M., additional, and Plauchu, H., additional
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- 2004
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6. First prenatal diagnosis of partial trisomy 10 and partial monosomy 15 derived from a maternal translocation (10;15)(q11;q13)
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Martin-Denavit, T., primary, Attia-Sobol, J., additional, Theuil, J., additional, Abel-Lablanche, K., additional, Boggio, D., additional, Teyssier, M., additional, Till, M., additional, Champion, F., additional, Vitrey, D., additional, and Plauchu, H., additional
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- 2002
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7. Ectodermal abnormalities associated with methimazole intrauterine exposure
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Martin-Denavit, T., primary, Edery, P., additional, Plauchu, H., additional, Attia-Sobol, J., additional, Raudrant, D., additional, Aurand, J.M., additional, and Thomas, L., additional
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- 2000
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8. Pathway-Based Analysis of a Melanoma Genome-Wide Association Study: Analysis of Genes Related to Tumour-Immunosuppression
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Schoof, N, Iles, Mm, Bishop, Dt, Newton Bishop JA, Barrett, Jh, Mann, Gj, Hopper, Jl, Aitken, Jf, Armstrong, Bk, Giles, Gg, Kefford, Rf, Cust, A, Jenkins, M, Aguilera, P, Badenas, C, Carrera, C, Cuellar, F, Gabriel, D, Martinez, E, Gonzalez, M, Iglesias, P, Malvehy, J, Marti Laborda, R, Mila, M, Ogbah, Z, Butille, Ja, Puig, S, Alós, L, Arance, A, Arguís, P, Campo, A, Castel, T, Conill, C, Palou, J, Rull, R, Sánchez, M, Vidal Sicart, S, Vilalta, A, Vilella, R, Martin, Ng, Montgomery, Gw, Duffy, D, Whiteman, D, Macgregor, S, Hayward, Nk, Webb, P, Parsons, P, Purdie, D, Hayward, N, Landi, Mt, Calista, D, Landi, G, Minghetti, P, Arcangeli, F, Bertazzi, Pa, Bianchi, Giovanna, Ghiorzo, Paola, Pastorino, Lorenza, Bruno, William, Battistuzzi, Linda, Gargiulo, Sara, Nasti, Sabina, Gliori, S, Origone, Paola, Queirolo, P, Mackie, R, Lang, J, Bishop, Ja, Affleck, P, Harrison, J, Randerson Moor, J, Harland, M, Taylor, Jc, Whittaker, L, Kukalizch, K, Leake, S, Karpavicius, B, Haynes, S, Mack, T, Chan, M, Taylor, Y, Davies, J, King, P, Gruis, Na, van Nieuwpoort FA, Out, C, van der Drift, C, Bergman, W, Kukutsch, N, Bavinck, Jn, Bakker, B, van der Stoep, N, ter Huurne, J, van der Rhee, H, Bekkenk, M, Snels, D, van Praag, M, Brochez, L, Gerritsen, R, Crijns, M, Vasen, H, Olsson, H, Ingvar, C, Jönsson, G, Borg, Å, Måsbäck, A, Lundgren, L, Baeckenhorn, K, Nielsen, K, Casslén, As, Helsing, P, Andresen, Pa, Rootwelt, H, Akslen, La, Molven, A, Avril, Mf, Bressac de Paillerets, B, Chaudru, V, Chateigner, N, Corda, E, Jeannin, P, Lesueur, F, de Lichy, M, Maubec, E, Mohamdi, H, Demenais, F, Andry Benzaquen, P, Bachollet, B, Bérard, F, Berthet, P, Boitier, F, Bonadona, V, Bonafé, Jl, Bonnetblanc, Jm, Cambazard, F, Caron, O, Caux, F, Chevrant Breton, J, Chompret, A, Dalle, S, Demange, L, Dereure, O, Doré, Mx, Doutre, Ms, Dugast, C, Faivre, L, Grange, F, Humbert, P, Joly, P, Kerob, D, Lasset, C, Leccia, Mt, Lenoir, G, Leroux, D, Levang, J, Lipsker, D, Mansard, S, Martin, L, Martin Denavit, T, Mateus, C, Michel, Jl, Morel, P, Olivier Faivre, L, Perrot, Jl, Robert, C, Ronger Savle, S, Sassolas, B, Souteyrand, P, Stoppa Lyonnet, D, Thomas, L, Vabres, P, Wierzbicka, E, Elder, D, Kanetsky, P, Knorr, J, Ming, M, Mitra, N, Ruffin, A, Van Belle, P, Dębniak, T, Lubiński, J, Mirecka, A, Ertmański, S, Novakovic, S, Hocevar, M, Peric, B, Cerkovnik, P, Höiom, V, Hansson, J, Schmid, H, Holland, Ea, Azizi, E, Galore Haskel, G, Friedman, E, Baron Epel, O, Scope, A, Pavlotsky, F, Yakobson, E, Cohen Manheim, I, Laitman, Y, Milgrom, R, Shimoni, I, Kozlovaa, E., Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), Martí Laborda, Rosa Ma., and Universitat de Barcelona
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Melanomas ,Skin Neoplasms ,Epidemiology ,medicine.medical_treatment ,[SDV]Life Sciences [q-bio] ,lcsh:Medicine ,Genome-wide association study ,0302 clinical medicine ,Polymorphism (computer science) ,Genetics of the Immune System ,lcsh:Science ,Melanoma ,Genetics ,0303 health sciences ,Multidisciplinary ,Cancer Risk Factors ,Statistics ,Immunosuppression ,Genomics ,Oncology ,Genetic Epidemiology ,030220 oncology & carcinogenesis ,Medicine ,Research Article ,medicine.medical_specialty ,Immunology ,Genetic Causes of Cancer ,Malignant Skin Neoplasms ,Single-nucleotide polymorphism ,Dermatology ,Biostatistics ,Biology ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Genome Analysis Tools ,Molecular genetics ,Genome-Wide Association Studies ,medicine ,Humans ,SNP ,Genetic Predisposition to Disease ,Statistical Methods ,Gene ,030304 developmental biology ,Immunosuppression Therapy ,Evolutionary Biology ,Population Biology ,Immunosupressió ,lcsh:R ,Computational Biology ,Human Genetics ,medicine.disease ,Genetic Polymorphism ,Clinical Immunology ,lcsh:Q ,Population Genetics ,Mathematics ,Genome-Wide Association Study - Abstract
Systemic immunosuppression is a risk factor for melanoma, and sunburn-induced immunosuppression is thought to be causal. Genes in immunosuppression pathways are therefore candidate melanoma-susceptibility genes. If variants within these genes individually have a small effect on disease risk, the association may be undetected in genome-wide association (GWA) studies due to low power to reach a high significance level. Pathway-based approaches have been suggested as a method of incorporating a priori knowledge into the analysis of GWA studies. In this study, the association of 1113 single nucleotide polymorphisms (SNPs) in 43 genes (39 genomic regions) related to immunosuppression have been analysed using a gene-set approach in 1539 melanoma cases and 3917 controls from the GenoMEL consortium GWA study. The association between melanoma susceptibility and the whole set of tumour-immunosuppression genes, and also predefined functional subgroups of genes, was considered. The analysis was based on a measure formed by summing the evidence from the most significant SNP in each gene, and significance was evaluated empirically by case-control label permutation. An association was found between melanoma and the complete set of genes (pemp = 0.002), as well as the subgroups related to the generation of tolerogenic dendritic cells (pemp = 0.006) and secretion of suppressive factors (pemp = 0.0004), thus providing preliminary evidence of involvement of tumour-immunosuppression gene polymorphisms in melanoma susceptibility. The analysis was repeated on a second phase of the GenoMEL study, which showed no evidence of an association. As one of the first attempts to replicate a pathway-level association, our results suggest that low power and heterogeneity may present challenges.
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9. Overview of the Genetic Causes of Hereditary Breast and Ovarian Cancer Syndrome in a Large French Patient Cohort.
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Bouras A, Guidara S, Leone M, Buisson A, Martin-Denavit T, Dussart S, Lasset C, Giraud S, Bonnet-Dupeyron MN, Kherraf ZE, Sanlaville D, Fert-Ferrer S, Lebrun M, Bonadona V, Calender A, and Boutry-Kryza N
- Abstract
The use of multigene panel testing for patients with a predisposition to Hereditary Breast and Ovarian Cancer syndrome (HBOC) is increasing as the identification of mutations is useful for diagnosis and disease management. Here, we conducted a retrospective analysis of BRCA1/2 and non-BRCA gene sequencing in 4630 French HBOC suspected patients. Patients were investigated using a germline cancer panel including the 13 genes defined by The French Genetic and Cancer Group (GGC)-Unicancer. In the patients analyzed, 528 pathogenic and likely pathogenic variants (P/LP) were identified, including BRCA1 (n = 203, 38%), BRCA2 (n = 198, 37%), PALB2 (n = 46, 9%), RAD51C (n = 36, 7%), TP53 (n = 16, 3%), and RAD51D (n = 13, 2%). In addition, 35 novel (P/LP) variants, according to our knowledge, were identified, and double mutations in two distinct genes were found in five patients. Interestingly, retesting a subset of BRCA1/2-negative individuals with an expanded panel produced clinically relevant results in 5% of cases. Additionally, combining in silico (splicing impact prediction tools) and in vitro analyses (RT-PCR and Sanger sequencing) highlighted the deleterious impact of four candidate variants on splicing and translation. Our results present an overview of pathogenic variations of HBOC genes in the southeast of France, emphasizing the clinical relevance of cDNA analysis and the importance of retesting BRCA-negative individuals with an expanded panel.
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- 2023
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10. Identification and Characterization of an Exonic Duplication in PALB2 in a Man with Synchronous Breast and Prostate Cancer.
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Bouras A, Lafaye C, Leone M, Kherraf ZE, Martin-Denavit T, Fert-Ferrer S, Calender A, and Boutry-Kryza N
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- Alternative Splicing genetics, Alu Elements genetics, Base Sequence, DNA, Neoplasm genetics, Frameshift Mutation genetics, Humans, Male, Middle Aged, Breast Neoplasms, Male genetics, Exons genetics, Fanconi Anemia Complementation Group N Protein genetics, Gene Duplication, Genetic Predisposition to Disease, Neoplasms, Multiple Primary genetics, Prostatic Neoplasms genetics
- Abstract
PALB2 (partner and localizer of BRCA2 ), as indicated by its name, is a BRCA2 -interacting protein that plays an important role in homologous recombination (HR) and DNA double-strand break (DSB) repair. While pathogenic variants of PALB2 have been well proven to confer an increased risk of breast cancer, data on its involvement in prostate cancer (PrC) have not been clearly demonstrated. We investigated, using targeted next generation sequencing (NGS), a 59-year-old Caucasian man who developed synchronous breast and prostate cancers. This genetic investigation allowed to identify an intragenic germline heterozygous duplication in PALB2 , implicating intronic repetitive sequences spanning exon 11. This variant was confirmed by multiplex ligation probe amplification (MLPA), and genomic breakpoints have been identified and characterized at the nucleotide level (c.3114-811_3202-1756dup) using an approach based on walking PCR, long range PCR, and Sanger sequencing. RT-PCR using mRNA extracted from lymphocytes and followed by Sanger sequencing revealed a tandem duplication r.3114_3201dup; p.(Gly1068Glufs * 14). This duplication results in the synthesis of a truncated, and most-likely, non-functional protein. These findings expand the phenotypic spectrum of PALB2 variants and may improve the yield of genetic diagnoses in this field.
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- 2022
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11. Detailed cell-level analysis of sperm nuclear quality among the different hypo-osmotic swelling test (HOST) classes.
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Bloch A, Rogers EJ, Nicolas C, Martin-Denavit T, Monteiro M, Thomas D, Morel H, Lévy R, Siffroi JP, Dupont C, and Rouen A
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- Cell Membrane drug effects, Cell Nucleus drug effects, DNA Fragmentation, Humans, Male, Spermatozoa drug effects, Cell Membrane physiology, Cell Nucleus physiology, Hypotonic Solutions pharmacology, Osmosis, Semen Analysis methods, Sperm Motility, Spermatozoa physiology
- Abstract
Purpose: We studied the quality differences between the different hypo-osmotic swelling test (HOST) classes, as measured by criteria of DNA fragmentation, DNA decondensation, and nuclear architecture. The aim was to find particular HOST classes associated with good-quality metrics, which may be potentially used in ICSI (intra-cytoplasmic sperm injection)., Methods: Ten patients from the Department of Reproductive Medicine at Tenon Hospital (Paris, France) were included. Their semen samples were collected and divided into two fractions: one was incubated in a hypo-osmotic solution as per HOST protocol and sorted by sperm morphology, and a second was incubated without undergoing the HOST protocol to serve as an unsorted baseline. Three parameters were assessed: DNA fragmentation (TUNEL assay), DNA decondensation (chromomycin A3 assay), and nuclear architecture (FISH, with telomeric and whole chromosome painting probes). The different HOST classes were evaluated for these three parameters, and statistical analysis was performed for each class versus the unsorted non-HOST-treated sperm. Results with p<0.05 were considered statistically significant., Results: For each of the parameters evaluated, we found significant differences between HOST-selected spermatozoa and non-selected spermatozoa. Overall, spermatozoa of HOST classes B and B+ exhibited the highest quality based on four metrics (low DNA fragmentation, low DNA decondensation, short inter-telomeric distance, and small chromosome 1 territory area), while spermatozoa of HOST classes A and G exhibited the poorest quality by these metrics., Conclusion: In addition to their pathophysiological interest, our results open possibilities of sperm selection prior to ICSI, which may allow for optimization of reproductive outcomes in heretofore unstudied patient populations., (© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
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- 2021
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12. Corrigendum: A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.
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Bertolotto C, Lesueur F, Giuliano S, Strub T, de Lichy M, Bille K, Dessen P, d'Hayer B, Mohamdi H, Remenieras A, Maubec E, de la Fouchardière A, Molinié V, Vabres P, Dalle S, Poulalhon N, Martin-Denavit T, Thomas L, Andry-Benzaquen P, Dupin N, Boitier F, Rossi A, Perrot JL, Labeille B, Robert C, Escudier B, Caron O, Brugières L, Saule S, Gardie B, Gad S, Richard S, Couturier J, Teh BT, Ghiorzo P, Pastorino L, Puig S, Badenas C, Olsson H, Ingvar C, Rouleau E, Lidereau R, Bahadoran P, Vielh P, Corda E, Blanché H, Zelenika D, Galan P, Chaudru V, Lenoir GM, Lathrop M, Davidson I, Avril MF, Demenais F, Ballotti R, and Bressac-de Paillerets B
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- 2016
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13. Somatic MMR gene mutations as a cause for MSI-H sebaceous neoplasms in Muir-Torre syndrome-like patients.
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Joly MO, Attignon V, Saurin JC, Desseigne F, Leroux D, Martin-Denavit T, Giraud S, Bonnet-Dupeyron MN, Faivre L, Auclair J, Grand-Masson C, Audoynaud C, and Wang Q
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- High-Throughput Nucleotide Sequencing, Humans, Sequence Analysis, DNA, DNA Mismatch Repair, DNA-Binding Proteins genetics, Muir-Torre Syndrome genetics, Mutation, Sebaceous Gland Neoplasms genetics
- Abstract
Sebaceous neoplasms are a major clinical feature of Muir-Torre syndrome (MTS) associated with visceral malignancies, especially colorectal and endometrial tumors. The diagnosis of MTS relies largely on the microsatellite instability (MSI) phenotype in tumors, suggesting germline mutations in DNA mismatch repair (MMR) genes responsible for the inherited disease. We hypothesized that in some MSI-H sebaceous tumors, acquired rather than inherited mutations in MMR genes could be involved. Using next-generation sequencing, we screened MMR gene mutations in 18 MSI-H sebaceous tumors. We found mutations in 17 samples (94%). Indeed, 12/17 (71%) were shown to carry acquired somatic mutations and among 12 samples, seven were shown to be associated with additional somatic alterations like loss of heterozygosity or multiple mutations, suggesting somatic second hits. Our findings strongly suggest that somatic MMR deficiency is responsible for a proportion of MSI-H sebaceous tumors., (© 2014 WILEY PERIODICALS, INC.)
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- 2015
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14. Melanoma prone families with CDK4 germline mutation: phenotypic profile and associations with MC1R variants.
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Puntervoll HE, Yang XR, Vetti HH, Bachmann IM, Avril MF, Benfodda M, Catricalà C, Dalle S, Duval-Modeste AB, Ghiorzo P, Grammatico P, Harland M, Hayward NK, Hu HH, Jouary T, Martin-Denavit T, Ozola A, Palmer JM, Pastorino L, Pjanova D, Soufir N, Steine SJ, Stratigos AJ, Thomas L, Tinat J, Tsao H, Veinalde R, Tucker MA, Bressac-de Paillerets B, Newton-Bishop JA, Goldstein AM, Akslen LA, and Molven A
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- Adult, Exons, Female, Germ-Line Mutation, Humans, Male, Melanoma pathology, Middle Aged, Phenotype, Skin Neoplasms pathology, Cyclin-Dependent Kinase 4 genetics, Cyclin-Dependent Kinase Inhibitor p16 genetics, Hair Color genetics, Melanoma genetics, Skin Neoplasms genetics
- Abstract
Background: CDKN2A and CDK4 are high risk susceptibility genes for cutaneous malignant melanoma. Melanoma families with CDKN2A germline mutations have been extensively characterised, whereas CDK4 families are rare and lack a systematic investigation of their phenotype., Methods: All known families with CDK4 germline mutations (n=17) were recruited for the study by contacting the authors of published papers or by requests via the Melanoma Genetics Consortium (GenoMEL). Phenotypic data related to primary melanoma and pigmentation characteristics were collected. The CDK4 exon 2 and the complete coding region of the MC1R gene were sequenced., Results: Eleven families carried the CDK4 R24H mutation whereas six families had the R24C mutation. The total number of subjects with verified melanoma was 103, with a median age at first melanoma diagnosis of 39 years. Forty-three (41.7%) subjects had developed multiple primary melanomas (MPM). A CDK4 mutation was found in 89 (including 62 melanoma cases) of 209 tested subjects. CDK4 positive family members (both melanoma cases and unaffected subjects) were more likely to have clinically atypical nevi than CDK4 negative family members (p<0.001). MPM subjects had a higher frequency of MC1R red hair colour variants compared with subjects with one tumour (p=0.010)., Conclusion: Our study shows that families with CDK4 germline mutations cannot be distinguished phenotypically from CDKN2A melanoma families, which are characterised by early onset of disease, increased occurrence of clinically atypical nevi, and development of MPM. In a clinical setting, the CDK4 gene should therefore always be examined when a melanoma family tests negative for CDKN2A mutation.
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- 2013
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15. A SUMOylation-defective MITF germline mutation predisposes to melanoma and renal carcinoma.
- Author
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Bertolotto C, Lesueur F, Giuliano S, Strub T, de Lichy M, Bille K, Dessen P, d'Hayer B, Mohamdi H, Remenieras A, Maubec E, de la Fouchardière A, Molinié V, Vabres P, Dalle S, Poulalhon N, Martin-Denavit T, Thomas L, Andry-Benzaquen P, Dupin N, Boitier F, Rossi A, Perrot JL, Labeille B, Robert C, Escudier B, Caron O, Brugières L, Saule S, Gardie B, Gad S, Richard S, Couturier J, Teh BT, Ghiorzo P, Pastorino L, Puig S, Badenas C, Olsson H, Ingvar C, Rouleau E, Lidereau R, Bahadoran P, Vielh P, Corda E, Blanché H, Zelenika D, Galan P, Aubin F, Bachollet B, Becuwe C, Berthet P, Bignon YJ, Bonadona V, Bonafe JL, Bonnet-Dupeyron MN, Cambazard F, Chevrant-Breton J, Coupier I, Dalac S, Demange L, d'Incan M, Dugast C, Faivre L, Vincent-Fétita L, Gauthier-Villars M, Gilbert B, Grange F, Grob JJ, Humbert P, Janin N, Joly P, Kerob D, Lasset C, Leroux D, Levang J, Limacher JM, Livideanu C, Longy M, Lortholary A, Stoppa-Lyonnet D, Mansard S, Mansuy L, Marrou K, Matéus C, Maugard C, Meyer N, Nogues C, Souteyrand P, Venat-Bouvet L, Zattara H, Chaudru V, Lenoir GM, Lathrop M, Davidson I, Avril MF, Demenais F, Ballotti R, and Bressac-de Paillerets B
- Subjects
- Cell Movement genetics, Gene Frequency, Humans, Neoplasm Invasiveness genetics, Sumoylation, Carcinoma, Renal Cell genetics, Genetic Predisposition to Disease, Germ-Line Mutation, Melanoma genetics, Microphthalmia-Associated Transcription Factor genetics
- Abstract
So far, no common environmental and/or phenotypic factor has been associated with melanoma and renal cell carcinoma (RCC). The known risk factors for melanoma include sun exposure, pigmentation and nevus phenotypes; risk factors associated with RCC include smoking, obesity and hypertension. A recent study of coexisting melanoma and RCC in the same patients supports a genetic predisposition underlying the association between these two cancers. The microphthalmia-associated transcription factor (MITF) has been proposed to act as a melanoma oncogene; it also stimulates the transcription of hypoxia inducible factor (HIF1A), the pathway of which is targeted by kidney cancer susceptibility genes. We therefore proposed that MITF might have a role in conferring a genetic predisposition to co-occurring melanoma and RCC. Here we identify a germline missense substitution in MITF (Mi-E318K) that occurred at a significantly higher frequency in genetically enriched patients affected with melanoma, RCC or both cancers, when compared with controls. Overall, Mi-E318K carriers had a higher than fivefold increased risk of developing melanoma, RCC or both cancers. Codon 318 is located in a small-ubiquitin-like modifier (SUMO) consensus site (ΨKXE) and Mi-E318K severely impaired SUMOylation of MITF. Mi-E318K enhanced MITF protein binding to the HIF1A promoter and increased its transcriptional activity compared to wild-type MITF. Further, we observed a global increase in Mi-E318K-occupied loci. In an RCC cell line, gene expression profiling identified a Mi-E318K signature related to cell growth, proliferation and inflammation. Lastly, the mutant protein enhanced melanocytic and renal cell clonogenicity, migration and invasion, consistent with a gain-of-function role in tumorigenesis. Our data provide insights into the link between SUMOylation, transcription and cancer.
- Published
- 2011
- Full Text
- View/download PDF
16. The contribution of large genomic deletions at the CDKN2A locus to the burden of familial melanoma.
- Author
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Lesueur F, de Lichy M, Barrois M, Durand G, Bombled J, Avril MF, Chompret A, Boitier F, Lenoir GM, Bressac-de Paillerets B, Baccard M, Bachollet B, Berthet P, Bonadona V, Bonnetblanc JM, Caron O, Chevrant-Breton J, Cuny JF, Dalle S, Delaunay M, Demange L, De Quatrebarbes J, Doré JF, Frénay M, Fricker JP, Gauthier-Villars M, Gesta P, Giraud S, Gorry P, Grange F, Green A, Huiart L, Janin N, Joly P, Kérob D, Lasset C, Leroux D, Limacher JM, Longy M, Mansard S, Marrou K, Martin-Denavit T, Mateus C, Maubec E, Olivier-Faivre L, Orlandini V, Pujol P, Sassolas B, Stoppa-Lyonnet D, Thomas L, Vabres P, Venat L, Wierzbicka E, and Zattara H
- Subjects
- Aged, Aged, 80 and over, Base Sequence, Carrier Proteins genetics, Chromosomes, Human, Pair 9, Cyclin-Dependent Kinase Inhibitor p16 genetics, Exons, Female, Gene Deletion, Genetic Predisposition to Disease, Humans, Male, Middle Aged, Molecular Sequence Data, Pedigree, Point Mutation, Reverse Transcriptase Polymerase Chain Reaction, Tumor Suppressor Protein p14ARF genetics, Genes, p16, Melanoma genetics
- Abstract
Mutations in two genes encoding cell cycle regulatory proteins have been shown to cause familial cutaneous malignant melanoma (CMM). About 20% of melanoma-prone families bear a point mutation in the CDKN2A locus at 9p21, which encodes two unrelated proteins, p16(INK4a) and p14(ARF). Rare mutations in CDK4 have also been linked to the disease. Although the CDKN2A gene has been shown to be the major melanoma predisposing gene, there remains a significant proportion of melanoma kindreds linked to 9p21 in which germline mutations of CDKN2A have not been identified through direct exon sequencing. The purpose of this study was to assess the contribution of large rearrangements in CDKN2A to the disease in melanoma-prone families using multiplex ligation-dependent probe amplification. We examined 214 patients from independent pedigrees with at least two CMM cases. All had been tested for CDKN2A and CDK4 point mutation, and 47 were found positive. Among the remaining 167 negative patients, one carried a novel genomic deletion of CDKN2A exon 2. Overall, genomic deletions represented 2.1% of total mutations in this series (1 of 48), confirming that they explain a very small proportion of CMM susceptibility. In addition, we excluded a new gene on 9p21, KLHL9, as being a major CMM gene.
- Published
- 2008
- Full Text
- View/download PDF
17. TWIST microdeletion identified by array CGH in a patient presenting Saethre-Chotzen phenotype and a complex rearrangement involving chromosomes 2 and 7.
- Author
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Schluth-Bolard C, Till M, Labalme A, Rey C, Banquart E, Fautrelle A, Martin-Denavit T, Le Lorc'h M, Romana SP, Lazar V, Edery P, and Sanlaville D
- Subjects
- Acrocephalosyndactylia pathology, Adult, Child, Preschool, Female, Humans, Infant, Newborn, Male, Nucleic Acid Hybridization, Oligonucleotide Array Sequence Analysis, Phenotype, Acrocephalosyndactylia genetics, Chromosomes, Human, Pair 2 genetics, Chromosomes, Human, Pair 7 genetics, Gene Deletion, Gene Rearrangement, Nuclear Proteins genetics, Twist-Related Protein 1 genetics
- Abstract
Saethre-Chotzen syndrome (SCS), also known as acrocephalosyndactyly III, is an autosomal dominant hereditary disorder characterized by craniofacial and limb anomalies. SCS is generally caused by mutations in the TWIST gene, but several 7p21.3 microdeletions involving the entire gene have also been described. The patient reported here presented with craniosynostosis, ptosis, brachydactyly and syndactyly of toes. Standard lymphocyte karyotype showed a de novo apparently balanced but complex constitution with a translocation between the short arms of chromosomes 2 and 7 and an insertion of the 7(q21.3q22) band in the short arm of the same chromosome 7. Interestingly, array CGH displayed a unique 690 kb deletion in 7p21.3 involving the TWIST gene, consistent with the phenotype. This case illustrates the important contribution of array CGH to identification of complex chromosomal rearrangements.
- Published
- 2008
- Full Text
- View/download PDF
18. [Genotypic hypervariability of melanoma: a therapeutic challenge].
- Author
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Dalle S, Martin-Denavit T, and Thomas L
- Subjects
- Antineoplastic Agents pharmacology, Antineoplastic Agents therapeutic use, Cell Division, Cyclin-Dependent Kinase 4 genetics, Cyclin-Dependent Kinase 4 physiology, Cyclin-Dependent Kinase Inhibitor p16 physiology, Drug Design, France epidemiology, Genes, p16, Genes, p53, Genotype, Humans, MAP Kinase Signaling System, Melanoma drug therapy, Melanoma epidemiology, Models, Biological, Mutation, Neoplasm Metastasis, Neoplastic Syndromes, Hereditary genetics, PTEN Phosphohydrolase genetics, PTEN Phosphohydrolase physiology, Proto-Oncogene Proteins B-raf genetics, Proto-Oncogene Proteins B-raf physiology, Receptor, Melanocortin, Type 1 genetics, Receptor, Melanocortin, Type 1 physiology, Skin Neoplasms drug therapy, Skin Neoplasms epidemiology, Tumor Suppressor Protein p53 physiology, Genetic Heterogeneity, Melanoma genetics, Skin Neoplasms genetics
- Abstract
Cutaneous melanoma remains a management challenge. Melanoma is the leading cause of death from skin tumors worldwide. Melanoma progression is well defined in its clinical, histopathological and biological aspects, but the molecular mechanism involved and the genetic markers associated to metastatic dissemination are only beginning to be defined. The recent development of high-throughput technologies aimed at global molecular profiling of cancer is switching on the spotlight at previously unknown candidate genes involved in melanoma. Among those genes, BRAF is one of the most supposed to be of interest and targeted therapies are ongoing in clinical trials. In familial melanoma, germline mutations in two genes, CDKN2A and CDK4, that play a pivotal role in controlling cell cycle and division. It is hope that this better understanding of the biologic features of melanoma and the mechanisms underlying tumor-induced immunosuppression will lead to efficaceous targeted therapy.
- Published
- 2006
- Full Text
- View/download PDF
19. Functional disomy of Xp including duplication of DAX1 gene with sex reversal due to t(X;Y)(p21.2;p11.3).
- Author
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Sanlaville D, Vialard F, Thépot F, Vue-Droy L, Ardalan A, Nizard P, Corré A, Devauchelle B, Martin-Denavit T, Nouchy M, Malan V, Taillemite JL, and Portnoï MF
- Subjects
- Abnormalities, Multiple genetics, Child, Preschool, DAX-1 Orphan Nuclear Receptor, Female, Humans, Intellectual Disability genetics, Karyotyping, Syndrome, Chromosomes, Human, X, Chromosomes, Human, Y, DNA-Binding Proteins genetics, Disorders of Sex Development, Genes, Duplicate genetics, Receptors, Retinoic Acid genetics, Repressor Proteins genetics, Sex Chromosome Aberrations, Translocation, Genetic genetics
- Abstract
Translocations involving the short arms of the X and Y in human chromosomes are uncommon. One of the best-known consequences of such exchanges is sex reversal in 46,XX males and some 46,XY females, due to exchange in the paternal germline of terminal portions of Xp and Yp, including the SRY gene. Translocations of Xp segments to the Y chromosome result in functional disomy of the X chromosome with an abnormal phenotype and sex reversal if the DSS locus, mapped in Xp21, is present. We describe a 7-month-old girl with severe psychomotor retardation, minor anomalies, malformations, and female external genitalia. Cytogenetic analysis showed a 46,X,mar karyotype. The marker was identified as a der(Y)t(Xp;Yp) by fluorescence in situ hybridisation analysis. Further studies with specific locus probes of X and Y chromosomes made it possible to clarify the break points and demonstrated the presence of two copies of the DAX1 gene, one on the normal X chromosome and one on the der(Y). The karyotype of the child was: 46,X,der(Y)t(X;Y)(p21.2;p11.3). The syndrome resulted from functional disomy Xp21.2-pter, with sex reversal related to the presence of two active copies of the DAX1 gene located in Xp21. Few cases of Xp disomy with sex reversal have been reported, primarily related to Xp duplications with 46,XY karyotype, and less often to Xp;Yq translocations. To our knowledge, our patient with sex reversal and a t(Xp;Yp) is the second reported case., (Copyright 2004 Wiley-Liss, Inc.)
- Published
- 2004
- Full Text
- View/download PDF
20. Usefulness of procalcitonin in neonates at risk for infection.
- Author
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Martin-Denavit T, Monneret G, Labaune JM, Isaac C, Bienvenu F, Putet G, and Bienvenu J
- Subjects
- Bacterial Infections diagnosis, Bacterial Infections prevention & control, Biomarkers blood, Calcitonin Gene-Related Peptide, Humans, Infant, Newborn, Calcitonin blood, Protein Precursors blood
- Published
- 1999
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