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Breast and prostate cancer risks; Pathogenic variant Riscos de càncer de mama i pròstata; Variants patogèniques Riesgos de cáncer de mama y próstata; Variantes patogénicas Background Recent population-based female breast cancer and prostate cancer polygenic risk scores (PRS) have been developed. We assessed the associations of these PRS with breast and prostate cancer risks for male BRCA1 and BRCA2 pathogenic variant carriers. Methods 483 BRCA1 and 1318 BRCA2 European ancestry male carriers were available from the Consortium of Investigators of Modifiers of BRCA1/2 (CIMBA). A 147-single nucleotide polymorphism (SNP) prostate cancer PRS (PRSPC) and a 313-SNP breast cancer PRS were evaluated. There were 3 versions of the breast cancer PRS, optimized to predict overall (PRSBC), estrogen receptor (ER)–negative (PRSER-), or ER-positive (PRSER+) breast cancer risk. Results PRSER+ yielded the strongest association with breast cancer risk. The odds ratios (ORs) per PRSER+ standard deviation estimates were 1.40 (95% confidence interval [CI] =1.07 to 1.83) for BRCA1 and 1.33 (95% CI = 1.16 to 1.52) for BRCA2 carriers. PRSPC was associated with prostate cancer risk for BRCA1 (OR = 1.73, 95% CI = 1.28 to 2.33) and BRCA2 (OR = 1.60, 95% CI = 1.34 to 1.91) carriers. The estimated breast cancer odds ratios were larger after adjusting for female relative breast cancer family history. By age 85 years, for BRCA2 carriers, the breast cancer risk varied from 7.7% to 18.4% and prostate cancer risk from 34.1% to 87.6% between the 5th and 95th percentiles of the PRS distributions. Conclusions Population-based prostate and female breast cancer PRS are associated with a wide range of absolute breast and prostate cancer risks for male BRCA1 and BRCA2 carriers. These findings warrant further investigation aimed at providing personalized cancer risks for male carriers and informing clinical management. The CIMBA data management and data analysis were supported by Cancer Research UK grants C12292/A20861 and PPRPGM-Nov20\100002. The research leading to these results has received funding from the Italian Association for Cancer Research (AIRC) under IG 2018 - ID. 21389 and the Italian League for the Fight Against Cancer (LILT) under IG 2019 projects, P.I. Ottini Laura and Italian Ministry of Education, Universities and Research-Dipartimenti di Eccellenza-L. 232/2016. CIMBA: GCT is a National Health and Medical Research Council (NHMRC) Research Fellow. iCOGS and OncoArray data: the European Community’s Seventh Framework Programme under grant agreement No. 223175 (HEALTH-F2-2009-223175) (COGS), Cancer Research UK (C1287/A10118, C1287/A 10710, C12292/A11174, C1281/A12014, C5047/A8384, C5047/A15007, C5047/A10692, C8197/A16565), the National Institutes of Health (NIH) (CA128978) and Post-Cancer GWAS initiative (1U19 CA148537, 1U19 CA148065 and 1U19 CA148112 - the GAME-ON initiative), the Department of Defence (W81XWH-10-1-0341), the Canadian Institutes of Health Research (CIHR) for the CIHR Team in Familial Risks of Breast Cancer (CRN-87521), and the Ministry of Economic Development, Innovation and Export Trade (PSR-SIIRI-701), Komen Foundation for the Cure, the Breast Cancer Research Foundation, and the Ovarian Cancer Research Fund. The Personalized Risk Stratification for Prevention and Early Detection of Breast Cancer (PERSPECTIVE) and PERSPECTIVE I&I projects were supported by the Government of Canada through Genome Canada and the Canadian Institutes of Health Research, the Ministry of Economy and Innovation through Genome Québec, and The Quebec Breast Cancer Foundation and the Ontario Research Fund. Breast Cancer Family Registry (BCFR): UM1 CA164920 from the National Cancer Institute (NCI). Baltic Familial Breast Ovarian Cancer Consortium (BFBOCC): Lithuania (BFBOCC-LT): Research Council of Lithuania grant SEN-18/2015. Beth Israel Deaconess Medical Center (BIDMC): Breast Cancer Research Foundation. BRCA-gene mutations and breast cancer in South African women (BMBSA): Cancer Association of South Africa (PI Elizabeth J. van Rensburg). Spanish National Cancer Centre (CNIO): Spanish Ministry of Health PI16/00440 supported by Fondo Europeo de Desarrollo Regional (FEDER) funds, the Spanish Ministry of Economy and Competitiveness (MINECO) SAF2014-57680-R and the Spanish Research Network on Rare diseases (CIBERER). City of Hope - Clinical Cancer Genomics Community Research Network (COH-CCGCRN): Research reported in this publication was supported by the NCI of the NIH under grant No. R25CA112486, and RC4CA153828 (PI: J. Weitzel) from the NCI and the Office of the Director, NIH. CONsorzio Studi ITaliani sui Tumori Ereditari Alla Mammella (CONSIT TEAM): Associazione Italiana Ricerca sul Cancro (AIRC; IG2014 No.15547) to P. Radice. Funds from Italian citizens who allocated the 5x1000 share of their tax payment in support of the Fondazione IRCCS Istituto Nazionale Tumori, according to Italian laws (INT-Institutional strategic projects ‘5x1000’) to S. Manoukian. Associazione CAOS Varese to M.G. Tibiletti. AIRC (IG2015 No.16732) to P. Peterlongo. National Centre for Scientific Research Demokritos (DEMOKRITOS): European Union (European Social Fund—ESF) and Greek national funds through the Operational Program “Education and Lifelong Learning” of the National Strategic Reference Framework (NSRF) - Research Funding Program of the General Secretariat for Research & Technology: SYN11_10_19 NBCA. Investing in knowledge society through the European Social Fund. German Cancer Research Center (DFKZ): German Cancer Research Center. Epidemiological Study of Familial Breast Cancer (EMBRACE): Cancer Research UK Grants C1287/A10118 and C1287/A11990. D. Gareth Evans and Fiona Lalloo are supported by an National Institute for Health Research (NIHR) grant to the Biomedical Research Centre, Manchester. The Investigators at The Institute of Cancer Research and The Royal Marsden National Health Service (NHS) Foundation Trust are supported by an NIHR grant to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Ros Eeles and Elizabeth Bancroft are supported by Cancer Research UK Grant C5047/A8385. Ros Eeles is also supported by NIHR support to the Biomedical Research Centre at The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust. Fox Chase Cancer Center (FCCC): The University of Kansas Cancer Center (P30 CA168524) and the Kansas Bioscience Authority Eminent Scholar Program. AKG was in part funded by the NCI (R01 CA214545 and R01 CA140323), The Kansas Institute for Precision Medicine (P20 GM130423), and the Kansas Bioscience Authority Eminent Scholar Program. A.K.G. is the Chancellors Distinguished Chair in Biomedical Sciences Professor. Fundación Pública Galega de Medicina Xenómica (FPGMX): FISPI05/2275 and Mutua Madrileña Foundation (FMMA). German Familial Breast Group (GC-HBOC): German Cancer Aid (grant No. 110837, Rita K. Schmutzler) and the European Regional Development Fund and Free State of Saxony, Germany (LIFE—Leipzig Research Centre for Civilization Diseases, project No. 713-241202, No. 713-241202, No. 14505/2470, and No. 14575/2470). Genetic Modifiers of cancer risk in BRCA1/2 mutation carriers (GEMO): Ligue Nationale Contre le Cancer; the Association “Le cancer du sein, parlons-en!” Award, the Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program and the French National Institute of Cancer (INCa grants 2013-1-BCB-01-ICH-1 and SHS-E-SP 18-015). Georgetown University (GEORGETOWN): the Non-Therapeutic Subject Registry Shared Resource at Georgetown University (NIH/NCI grant P30-CA051008), the Fisher Center for Hereditary Cancer and Clinical Genomics Research, and Swing Fore the Cure. Ghent University Hospital (G-FAST): Bruce Poppe is a senior clinical investigator of FWO. Mattias Van Heetvelde obtained funding from IWT. Hospital Clinico San Carlos (HCSC): Spanish Ministry of Health PI15/00059, PI16/01292, and CB-161200301 CIBERONC from ISCIII (Spain), partially supported by European Regional Development FEDER funds. Helsinki Breast Cancer Study (HEBCS): Helsinki University Hospital Research Fund, the Finnish Cancer Society and the Sigrid Juselius Foundation. Hereditary Breast and Ovarian cancer study the Netherlands (HEBON): the Dutch Cancer Society grants NKI1998-1854, NKI2004-3088, NKI2007-3756, the Netherlands Organization of Scientific Research grant NWO 91109024, the Pink Ribbon grants 110005 and 2014-187.WO76, the Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) grant NWO 184.021.007/CP46 and the Transcan grant JTC 2012 Cancer 12-054. HEBON thanks the registration teams of Dutch Cancer Registry (IKNL; S. Siesling, J. Verloop) and the Dutch Pathology database (PALGA; L. Overbeek) for part of the data collection. Study of Genetic Mutations in Breast and Ovarian Cancer patients in Hong Kong and Asia (HRBCP): Hong Kong Sanatorium and Hospital, Dr Ellen Li Charitable Foundation, The Kerry Group Kuok Foundation, National Institute of Health1R 03CA130065, and North California Cancer Center. Molecular Genetic Studies of Breast- and Ovarian Cancer in Hungary (HUNBOCS): Hungarian Research Grants KTIA-OTKA CK-80745 and NKFI_OTKA K-112228. Institut Català d’Oncologia (ICO): The authors would like to particularly acknowledge the support of the Asociación Española Contra el Cáncer (AECC), the Instituto de Salud Carlos III (organismo adscrito al Ministerio de Economía y Competitividad) and “FEDER, una manera de hacer Europa” (PI10/01422, PI13/00285, PIE13/00022, PI15/00854, PI16/00563 and CIBERONC) and the Institut Català de la Salut and Autonomous Government of Catalonia (2009SGR290, 2014SGR338 and PERIS Project MedPerCan). International Hereditary Cancer Centre (IHCC): PBZ_KBN_122/P05/2004. Iceland Landspitali – University Hospital (ILUH): Icelandic Association “Walking for Breast Cancer Research” and by the Landspitali University Hospital Research Fund. INterdisciplinary HEalth Research Internal Team BReast CAncer susceptibility (INHERIT): Canadian Institutes of Health Research for the “CIHR Team in Familial Risks of Breast Cancer” program—grant No. CRN-87521 and the Ministry of Economic Development, Innovation and Export Trade—grant No. PSR-SIIRI-701. Istituto Oncologico Veneto (IOVHBOCS): Ministero della Salute and “5x1000” Istituto Oncologico Veneto grant. Portuguese Oncology Institute-Porto Breast Cancer Study (IPOBCS): Liga Portuguesa Contra o Cancro. Kathleen Cuningham Consortium for Research into Familial Breast Cancer (kConFab): The National Breast Cancer Foundation, and previously by the National Health and Medical Research Council (NHMRC), the Queensland Cancer Fund, the Cancer Councils of New South Wales, Victoria, Tasmania and South Australia, and the Cancer Foundation of Western Australia. Korean Hereditary Breast Cancer Study (KOHBRA): the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), and the National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (HI16C1127; 1020350; 1420190). Mayo Clinic (MAYO): NIH grants CA116167, CA192393 and CA176785, an NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA116201), and a grant from the Breast Cancer Research Foundation. McGill University (MCGILL): Jewish General Hospital Weekend to End Breast Cancer, Quebec Ministry of Economic Development, Innovation and Export Trade. Marc Tischkowitz is supported by the funded by the European Union Seventh Framework Program (2007Y2013)/European Research Council (Grant No. 310018). Modifier Study of Quantitative Effects on Disease (MODSQUAD): MH CZ—DRO (MMCI, 00209805), MEYS—NPS I—LO1413 to LF, and by Charles University in Prague project UNCE204024 (MZ). Memorial Sloane Kettering Cancer Center (MSKCC): the Breast Cancer Research Foundation, the Robert and Kate Niehaus Clinical Cancer Genetics Initiative, the Andrew Sabin Research Fund and a Cancer Center Support Grant/Core Grant (P30 CA008748). Women’s College Research Institute Hereditary Breast and Ovarian Cancer Study (NAROD): 1R01 CA149429-01. National Cancer Institute (NCI): the Intramural Research Program of the US NCI, NIH, and by support services contracts NO2-CP-11019-50, N02-CP-21013-63 and N02-CP-65504 with Westat, Inc, Rockville, MD. National Israeli Cancer Control Center (NICCC): Clalit Health Services in Israel, the Israel Cancer Association and the Breast Cancer Research Foundation (BCRF), NY. N.N. Petrov Institute of Oncology (NNPIO): the Russian Foundation for Basic Research (grants 17-54-12007, 17-00-00171 and 18-515-12007). NRG Oncology: U10 CA180868, NRG SDMC grant U10 CA180822, NRG Administrative Office and the NRG Tissue Bank (CA 27469), the NRG Statistical and Data Center (CA 37517) and the Intramural Research Program, NCI. The Ohio State University Comprehensive Cancer Center (OSUCCG): Ohio State University Comprehensive Cancer Center. Università di Pisa (PBCS): AIRC [IG 2013 N.14477] and Tuscany Institute for Tumors (ITT) grant 2014-2015-2016. South East Asian Breast Cancer Association Study (SEABASS): Ministry of Science, Technology and Innovation, Ministry of Higher Education (UM.C/HlR/MOHE/06) and Cancer Research Initiatives Foundation. Sheba Medical Centre (SMC): the Israeli Cancer Association. Swedish Breast Cancer Study (SWE-BRCA): the Swedish Cancer Society. University of Chicago (UCHICAGO): NCI Specialized Program of Research Excellence (SPORE) in Breast Cancer (CA125183), R01 CA142996, 1U01CA161032 and by the Ralph and Marion Falk Medical Research Trust, the Entertainment Industry Fund National Women’s Cancer Research Alliance and the Breast Cancer research Foundation. OIO is an American Cancer Society (ACS) Clinical Research Professor. University of California Los Angeles (UCLA): Jonsson Comprehensive Cancer Center Foundation; Breast Cancer Research Foundation. University of California San Francisco (UCSF): UCSF Cancer Risk Program and Helen Diller Family Comprehensive Cancer Center. UK Familial Ovarian Cancer Registry (UKFOCR): Cancer Research UK. University of Pennsylvania (UPENN): NIH (R01-CA102776 and R01-CA083855); Breast Cancer Research Foundation; Susan G. Komen Foundation for the cure, Basser Research Center for BRCA. Cancer Family Registry University of Pittsburg (UPITT/MWH): Hackers for Hope Pittsburgh. Victorian Familial Cancer Trials Group (VFCTG): Victorian Cancer Agency, Cancer Australia, National Breast Cancer Foundation. Women’s Cancer Program at Cedars-Sinai Medical Center (WCP): Dr Karlan is funded by the ACS Early Detection Professorship (SIOP-06-258-01-COUN) and the National Center for Advancing Translational Sciences (NCATS), Grant UL1TR000124. TN-D is a recipient of a Career Development Fellow from the National Breast Cancer Foundation (Australia, ECF-17-001).

The multifactorial likelihood analysis method has demonstrated utility for quantitative assessment of variant pathogenicity for multiple cancer syndrome genes. Independent data types currently incorporated in the model for assessing BRCA1 and BRCA2 variants include clinically calibrated prior probability of pathogenicity based on variant location and bioinformatic prediction of variant effect, co-segregation, family cancer history profile, co-occurrence with a pathogenic variant in the same gene, breast tumor pathology, and case-control information. Research and clinical data for multifactorial likelihood analysis were collated for 1,395 BRCA1/2 predominantly intronic and missense variants, enabling classification based on posterior probability of pathogenicity for 734 variants: 447 variants were classified as (likely) benign, and 94 as (likely) pathogenic; and 248 classifications were new or considerably altered relative to ClinVar submissions. Classifications were compared with information not yet included in the likelihood model, and evidence strengths aligned to those recommended for ACMG/AMP classification codes. Altered mRNA splicing or function relative to known nonpathogenic variant controls were moderately to strongly predictive of variant pathogenicity. Variant absence in population datasets provided supporting evidence for variant pathogenicity. These findings have direct relevance for BRCA1 and BRCA2 variant evaluation, and justify the need for gene-specific calibration of evidence types used for variant classification., Ohio State University Comprehensive Cancer Center Barretos Cancer Hospital. Grant Number: FINEP ‐ CT‐INFRA (02/2010) Breast Cancer Foundation of New Zealand Canadian Institutes of Health Research. Grant Number: PSR‐SIIRI‐701 Cancer Research UK. Grant Numbers: C8197/A16565, C5047/A8384, C1281/A12014, C12292/A11174, C1287/A10710, C1287/A10118, C1287/A16563, C5047/A10692, C5047/A15007 Department of Defence, USA. Grant Number: W81XWH‐10‐1‐0341 Helsinki University Hospital Research fund Scientific Foundation Asociación Española Contra el Cáncer Leiden University Medical Centre. Grant Number: Grant 30.925 Generalitat de Catalunya. Grant Numbers: PERIS_MedPerCan, URDCat, 2017SGR1282, 2017SGR496 Royal Society of New Zealand Cancer Council Victoria Netherlands Organization for Scientific Research (NWO). Grant Number: Grant 017.008.022 Breast Cancer Research Foundation Cancer Foundation of Western Australia EU H2020. Grant Number: 634935 Fundación Mutua Madrileña Seventh Framework Programme. Grant Numbers: 634935, 223175, 633784 Cancer Council South Australia Government of Galicia. Grant Number: Consolidation and structuring program: IN607B Cancer Council Tasmania Italian Association of Cancer Research. Grant Number: 15547 Queensland Cancer Fund AstraZeneca National Institute of Health (USA). Grant Numbers: 1U19 CA148065‐01, CA128978, CA192393, 1U19 CA148537, P50 CA1162091, CA116167, 1U19 CA148112 Newcastle University Dutch Cancer Society KWF. Grant Numbers: KWF/Pink Ribbon‐11704, UL2012‐5649 National Institute for Health Research. Grant Number: Manchester Biomedical Research centre (IS‐BRC‐1215 National Council of Technological and Scientific Development (CNPq) Instituto de Salud Carlos III. Grant Numbers: FIS PI15/00355, FIS PI13/01711, CIBERONC, FIS PI16/01218, PI16/00563 French National Institute of Cancer National Breast Cancer Foundation National Health and Medical Research Council. Grant Numbers: ID1061778, ID1104808 Carlos III National Health Centro de Investigación Biomédica en Red de Enferemdades Raras. Grant Number: ACCI 2016: ER17P1AC7112/2018 Cancer Council NSW Deutsche Krebshilfe. Grant Numbers: (#110837, #70111850 Fondazione Pisa. Grant Number: Grant “Clinical characterization of BRCA 1/2 Mis

Colorectal cancer (CRC) risk associated with germline monoallelic MUTYH mutations remains controversial, although a slightly increased risk for this disease has been suggested. MUTYH and MSH6 proteins act in cooperation during the DNA repair process. Based on this interaction, it was hypothesized that the combination of heterozygote germline mutations in both genes could result in an increased CRC risk. To further clarify the interaction between MUTYH and MSH6, we analyzed the prevalence of MSH6 mutations in a cohort of CRC patients and controls previously tested for MUTYH mutations: CRC patients with and without a monoallelic MUTYH mutation (group I, n = 26; group II, n = 50, respectively), and healthy carriers with a monoallelic MUTYH mutation (group III, n = 21). In group I, we found three patients (11.5%) with MSH6 mutations, a missense mutation (p.R635G), a change in the 3′UTR region (c.*4098A > C) and a nonsense mutation (p.Q982X). In group II and III, no mutations were detected. In CRC patients, MSH6 mutations were more frequently found in MUTYH mutation carriers than in noncarriers (11.5% vs. 0%, P = 0.037). CRC patients carrying monoallelic MUTYH mutations harbor more frequently concomitant MSH6 mutations than patients without them, thus suggesting that both genes could act cooperatively and confer together an increased CRC risk.

BARD1 Val507Met (1592 A>G) is an interesting marker for association studies on cancer risk. However, studies are scarce in the literature, probably reflecting the methodological problem imposed by the fact that next to the 1592 A>G stands the 1591 C>T single nucleotide polymorphism (SNP). We have designed an allele-specific PCR method capable of molecular haplotyping tandem SNPs. In the tandem SNPs haplotyping assay (tSNPh), four reverse primers are designed to be perfect matches of each potential haplotype. The forward primer is labeled with a fluorochrome. PCR products are analyzed by capillary electrophoresis. Haplotyping is performed by size calling. To ascertain the accuracy and reproducibility of the assay, we measured the level of concordance with sequencing data in 124 samples. In vitro-generated templates have been used for further testing. We developed a novel and reliable assay that permits typing two SNPs directly adjacent to each other, avoiding mutual interferences. The method is amenable to automation and high throughput. We expect that this assay will contribute to clarifying the role of BARD1 in cancer susceptibility. In addition, we suggest that tandem SNPs are potentially interesting polymorphic markers in which molecular haplotyping can be performed easily.

Germ-line mutations in BRCA1 and BRCA2 are responsible for about 30-60% of the hereditary breast and ovarian cancer (HBOC). A large number of point mutations have been described in both genes. However, large deletions and duplications that disrupt one or more exons are overlooked by point mutation detection approaches. Over the past years several rearrangements have been identified in BRCA1, while few studies have been designed to screen this type of mutations in BRCA2. Our aim was to estimate the prevalence of large genomic rearrangements in the BRCA2 gene in Spanish breast/ovarian cancer families. The multiplex ligation-dependent probe amplification (MLPA) was employed to search gross deletions or duplications of BRCA2 in 335 Spanish moderate to high-risk breast/ovarian cancer families previously screened negative for point mutations by conventional methods. Four different and novel large genomic alterations were consistently identified by MLPA in five families, respectively: deletions of exon 2, exons 10-12 and exons 15-16 and duplication of exon 20 (in two families). RT-PCR experiments confirmed the deletion of exons 15-16. All patients harbouring a genomic rearrangement were members of high-risk families, with three or more breast/ovarian cancer cases or the presence of breast cancer in males. We provide evidence that the BRCA2 rearrangements seem to account for a relatively small proportion of familial breast cancer cases in Spanish population. The screening for these alterations as part of the comprehensive genetic testing can be recommended, especially in multiple case breast/ovarian families and families with male breast cancer cases.

BACKGROUND: To identify whether circulating levels of angiogenesis-related factors may be predictive of bevacizumab efficacy in pre-treated metastatic colorectal cancer (mCRC) patients. METHODS: Pre-treatment serum levels of 24 cytokines were measured using a multiplex bead assay (MBA) in 32 pre-treated mCRC patients treated with irinotecan plus bevacizumab-based salvage therapy. Macrophage-derived chemokine (MDC), interleukins (ILs) 8 and 6 levels were also validated by enzyme-linked immunosorbent assay (ELISA) at different time points during therapy. RESULTS: Higher epidermal growth factor (EGF) and MDC baseline levels (2.2- and 1.4-fold, respectively) and lower IL-10, IL-6 and IL-8 levels (0.2-, 0.6-, and 0.6-fold, respectively, P

Large genomic rearrangements (LGRs) at the BRCA2 locus explain a non-negligible proportion of hereditary breast and ovarian cancer (HBOC) syndromes. The multiplex ligation and probe amplification (MLPA) assay has permitted in recent years to identify several families carrying LGRs at this locus, but very few such alterations have been fully characterized at the molecular level. Yet, molecular characterization is essential to identify recurrent alterations, to analyze the genetic mechanisms underlying such alterations, or to investigate potential genotype/phenotype relationships. We have used MLPA to identify BRCA2 LGRs in 7 out of 813 Spanish HBOC families previously tested negative for BRCA1 and BRCA2 small genomic alterations (substitutions and indels) and BRCA1 LGRs. We used a combination of long-range PCR, restriction mapping, and cDNA analysis to characterize the alterations at the molecular level. We found that Del Exon1-Exon2, Del Exon12-Exon16 and Del Exon22-Exon24 explain one family each, while Del Exon2 appears to be a Spanish founder mutation explaining four independent families. Finally, we have combined our data with a comprehensive review of the literature to reevaluate the genetic mechanisms underlying LGRs at the BRCA2 locus. Our study substantially increases the spectrum of BRCA2 LGRs fully characterized at the molecular level. Further on, we provide data to suggest that non-allelic homologous recombination has been overestimated as a mechanism underlying these alterations, while the opposite might be true for microhomology-mediated events.

AIM: To investigate the angiogenesis-related protein expression profile characterizing metastatic colorectal cancer (mCRC) with the aim of identifying prognostic markers. METHODS: The expression of 44 angiogenesis-secreted factors was measured by a novel cytokine antibody array methodology. The study evaluated vascular endothelial growth factor (VEGF) and its soluble vascular endothelial growth factor receptor (sVEGFR)-1 protein levels by enzyme immunoassay (EIA) in a panel of 16 CRC cell lines. mRNA VEGF and VEGF-A isoforms were quantified by quantitative reverse-transcription polymerase chain reaction (Q-RT-PCR) and vascular endothelial growth factor receptor (VEGFR)-2 expression was analyzed by flow cytometry. RESULTS: Metastasis-derived CRC cell lines expressed a distinctive molecular profile as compared with those isolated from a primary tumor site. Metastatic CRC cell lines were characterized by higher expression of angiogenin-2 (Ang-2), macrophage chemoattractant proteins-3/4 (MCP-3/4), matrix metalloproteinase-1 (MMP-1), and the chemokines interferon γ inducible T cell α chemoattractant protein (I-TAC), monocyte chemoattractant protein I-309, and interleukins interleukin (IL)-2 and IL-1α, as compared to primary tumor cell lines. In contrast, primary CRC cell lines expressed higher levels of interferon γ (IFN-γ), insulin-like growth factor-1 (IGF-1), IL-6, leptin, epidermal growth factor (EGF), placental growth factor (PlGF), thrombopoietin, transforming growth factor β1 (TGF-β1) and VEGF-D, as compared with the metastatic cell lines. VEGF expression does not significantly differ according to the CRC cellular origin in normoxia. Severe hypoxia induced VEGF expression up-regulation but contrary to expectations, metastatic CRC cell lines did not respond as much as primary cell lines to the hypoxic stimulus. In CRC primary-derived cell lines, we observed a two-fold increase in VEGF expression between normoxia and hypoxia as compared to metastatic cell lines. CRC cell lines express a similar pattern of VEGF isoforms (VEGF₁₂₁, VEGF₁₆₅ and VEGF₁₈₉) despite variability in VEGF expression, where the major transcript was VEGF₁₂₁. No relevant expression of VEGFR-2 was found in CRC cell lines, as compared to that of human umbilical vein endothelial cells and sVEGFR-1 expression did not depend on the CRC cellular origin. CONCLUSION: A distinct angiogenesis-related expression pattern characterizes metastatic CRC cell lines. Factors other than VEGF appear as prognostic markers and intervention targets in the metastatic CRC setting.

BACKGROUND: To determine the dose-limiting toxicity (DLT), maximum tolerated dose, recommended dose (RD) and preliminary evidence of activity of escalating doses of irinotecan (CPT-11) fixed-dose-rate infusional gemcitabine (FDR-GMB) and bevacizumab in pretreated metastatic colorectal cancer (mCRC) patients. Pharmacogenomic analysis was performed to investigate the association between VEGF single-nucleotide polymorphisms and clinical outcome. PATIENTS AND METHODS: A total of 89 mCRC patients were recruited in a two-step study design; 28 were included in the dose-finding study and 59 in the pharmacogenomic analysis. The FDR-GMB of 1000 mg m⁻², bevacizumab 5 mg kg⁻¹ and CPT-11 doses ranging from 100 to 160 mg m⁻² were explored. The VEGF protein serum levels were quantified by EIA. Allelic discrimination was performed to genotype polymorphisms in the VEGF gene. RESULTS: CPT-11 RD was 150 mg m⁻². Diarrhoea and neutropenia were the DLT. After a median follow-up of 42 months, the median time to progression (TTP) and overall survival were 5.2 and 19.9 months, respectively. VEGF levels were significantly correlated with VEGF-2578AA and VEGF-460CC genotypes, and a trend was observed with VEGF+405GG genotype. The presence of any of these genotypes correlated with a longer median TTP (8.8 vs 4.5 months, P=0.04). CONCLUSION: The triplet combination tested in this study is effective and well tolerated. A possible predictive role for VEGF gene polymorphisms and baseline VEGF circulating levels is suggested.

9 páginas, 1 figura, 4 tablas.-- et al., [Purpose]: It is not clear that the published estimates of the breast and ovarian cancer penetrances of mutations in BRCA1 and BRCA2 can be used in genetic counseling in countries such as Spain, where the incidence of breast cancer in the general population is considerably lower, the prevalence of BRCA2 mutations seems to be higher, and a distinct spectrum of recurrent mutations exists for both genes. We aimed to estimate these penetrances for women attending genetic counseling units in Spain. [Experimental Design]: We collected phenotype and genotype data on 155 BRCA1 and 164 BRCA2 mutation carrier families from 12 centers across the country. Average age-specific cumulative risks of breast cancer and ovarian cancer were estimated using a modified segregation analysis method. [Results]: The estimated average cumulative risk of breast cancer to age 70 years was estimated to be 52% [95% confidence interval (95% CI), 26-69%] for BRCA1 mutation carriers and 47% (95% CI, 29-60%) for BRCA2 mutation carriers. The corresponding estimates for ovarian cancer were 22% (95% CI, 0-40%) and 18% (95% CI, 0-35%), respectively. There was some evidence (two-sided P = 0.09) that 330A>G (R71G) in BRCA1 may have lower breast cancer penetrance. [Conclusions]: These results are consistent with those from a recent meta-analysis of practically all previous penetrance studies, suggesting that women with BRCA1 and BRCA2 mutations attending genetic counseling services in Spain have similar risks of breast and ovarian cancer to those published for other Caucasian populations. Carriers should be fully informed of their mutation- and age-specific risks to make appropriate decisions regarding prophylactic interventions such as oophorectomy.

Interindividual differences in the toxicity and response to anticancer therapies are currently observed in practically all available treatment regimens. A goal of cancer therapy is to predict patient response and toxicity to drugs in order to facilitate the individualization of patient treatment. Identification of subgroups of patients that differ in their prognosis and response to treatment could help to identify the best available drug therapy according the genetic profile. Several mechanisms have been suggested to contribute to chemo-therapeutic drug resistance: amplification or overexpression of membrane transporters, changes in cellular proteins involved in detoxification or in DNA repair, apoptosis and activation of oncogenes or tumor suppressor genes. Colorectal cancer (CRC) is regarded as intrinsically resistant to chemotherapy. Several molecular markers predictive of CRC therapy have been included during the last decade but their results in different studies complicate their application in practical clinical. The simultaneous testing of multiple markers predictive of response could help to identify more accurately the true role of these polymorphisms in CRC therapy. This review analyzes the role of genetic variants in genes involved in the action mechanisms of the drugs used at present in colorectal cancer.

Purpose: A subset of colorectal cancers (CRC) arises in families that, despite fulfilling clinical criteria for hereditary nonpolyposis colorectal cancer (HNPCC), do not show evidence of a mismatch repair (MMR) deficiency. The main objective of this study was to characterize these tumors at the molecular level. Experimental Design: After comprehensive germ line mutation scanning, microsatellite analysis, and MMR protein expressions, we selected a well-defined cohort of 57 colorectal tumors with no evidence of MMR defects. In this group of tumors, we analyzed KRAS, BRAF, and APC somatic mutations, as well as methylguanine methyltransferase (MGMT) and β-catenin expression. We correlated these alterations with clinicopathologic data and explored the relationship between KRAS G > A transitions and lack of MGMT expression. Results: The mutation profile at the RAS/RAF/MAPK pathway mimics sporadic microsatellite-stable CRCs. We found an average age of diagnosis 10 years older in KRAS-mutated patients (P = 0.001). In addition, we show that KRAS G > A transitions are actively selected by tumors, regardless of MGMT status. Similarities with HNPCC high–microsatellite instability tumors are observed when APC data are analyzed. The APC mutation rate was low and small insertions/deletions accounted for 70% of the alterations. In addition, we found a low frequency of β-catenin nuclear staining. Finally, we did not find evidence of tumors arising in individuals from the same family sharing molecular features. Conclusions: We show evidence that CRC tumors arising in HNPCC families without MMR alterations have distinctive molecular features. Overall, our work shows that systematic analysis of somatic alterations in a well-defined subset of CRCs is a good approach to provide new insights into the mechanisms of colorectal carcinogenesis.

6 páginas, 2 tablas.-- et al., [Background]: Large genomic rearrangements (LGRs) account for a substantial proportion of the BRCA1 disease-causing changes, or variations, identified in families with hereditary breast/ovarian cancer [HB(O)C]. Great differences in the spectrum and prevalence of BRCA1 LGR have been observed among populations. Here we report the first comprehensive analysis of BRCA1 LGRs conducted in Spain. [Methods]: We used multiplex ligation-dependent probe amplification (MLPA) to screen for BRCA1 LGRs in the index case individuals of 384 HB(O)C families who previously tested negative for BRCA1 and BRCA2 point variations, small insertions, and deletions. An alternative set of MLPA probes, long-range PCR, and real-time PCR were used to confirm positive results. [Results]: We have identified 8 different BRCA1 rearrangements (del exon 1–24, del exon 8–13, del exon 11–15, del exon 14, dup exon 19–20, dup exon 20, exon 21–22 amplification, and del exon 23–24). With the exception of del exon 8–13, they are novel alterations. Overall, BRCA1 LGRs explain 1.4% of the Spanish HB(O)C families, and they account for 8.2% of all BRCA1 pathogenic variations identified in our study population. BRCA1 genetic variants affecting hybridization of commercially available MLPA probes are very rare in our population. [Conclusions]: Screening for BRCA1 LGRs should be mandatory in Spanish HB(O)C families. A high proportion of country-specific rearrangements are scattered along the gene. MLPA is a robust method to screen for LGRs in our population. MLPA analysis of positive samples with an alternative set of probes, together with long-range PCR and real-time PCR, is a feasible approach to confirm results in cases in which LGR breakpoints have not been characterized., This work was supported by grants from Instituto de Salud Carlos III (FIS 01/3040, FIS 04/1832, FIS RTICC C03/10, and Xunta de Galicia (PGIDIT02PXIC20804PN). Sara Gutierrez-Enriquez is supported by a contract financed by Red Genómica del Cáncer del Instituto de Salud Carlos III (2003–2005).

The genetic factors that cause clustering of colorectal cancers (CRCs) other than mutations in the mismatch repair (MMR) genes are not well understood. Clustering in families who lack MMR gene mutations may be attributable to low-penetrance mutations. Hypothetically, mono-allelic MYH mutations could contribute to the risk of CRC in these families. Using Fisher's exact test and logistic regression, we compared the frequency of the known disease-causing MYH mutations Y165C, G382D and 466delE in 137 probands (117 cases with CRC and 20 cases diagnosed on the basis of adenomatous polyps only) from families with three or more CRCs but negative for mutations in the MMR genes and in 967 healthy controls with comparable ethnic backgrounds. Of 137 cases, 6 (4.4%) carried mono-allelic MYH mutations compared with 16 of 967 (1.6%) controls. In addition, three bi-allelic MYH mutation carriers, who eventually developed MYH-associated polyposis, were also identified in families with pedigree structures consistent with dominant inheritance of CRC susceptibility. By Fisher's exact tests, there was a statistically different frequency of cases with any MYH mutation (mono- or bi-allelic carriers; P-value = 0.002) and of cases with mono-allelic MYH mutation (P = 0.04) compared with the controls. Using a logistic regression model, the unadjusted odds ratio associated with any MYH mutation was 4.14 (P-value < 0.001); for mono-allelic carriers, it was 2.79 (P-value = 0.04). Adjusting for ethnic backgrounds, gender and age, the odds ratio associated with any disease-causing MYH mutation was 3.23 (P-value = 0.01); for mono-allelic carriers, it was 1.99 (P-value = 0.20). Overall, the results support previous studies suggesting that mono-allelic mutations of MYH constitute low-penetrance CRC-causing alleles. These data further support a model in which low-penetrance alleles are enriched in MMR gene mutation-negative CRC families.

AIM: To investigate the prevalence and penetrance of hMSH6 mutations in Spanish HNPCC families that was negative for mutation in hMLH1 or hMSH2. METHODS: We used PCR-based DGGE assay and direct sequencing to screen for hMSH6 gene in 91 HNPCC families. RESULTS: we have identified 10 families with germ-line mutations in the DNA sequence. These mutations included two intronic variation, three missense mutation, one nonsense mutation, and four silent mutations. Among the 10 germ-line mutations identified in the Spanish cohort, 8 were novel, perhaps, suggesting different mutational spectra in the Spanish population. Detailed pedigrees were constructed for the three families with a possible pathogenic hMSH6 mutation. The two silent mutations H388H and L758L, detected in a person affected of colorectal cancer at age 29, produce loss of the wild-type allele in the tumor sample. Immunohistochemical analysis showed that expression of MSH6 protein was lost only in the tumors from the carriers of V878A and Q263X mutations. CONCLUSION: Altogether, our results indicate that disease-causing germ-line mutations of hMSH6 are very less frequent in Spanish HNPCC families.

The frame-shift mutation 1100delC in the cell-cycle-checkpoint kinase 2 gene (CHEK2) has been reported to be a low penetrance breast cancer gene in Northern European populations. However, the variant may be relevant for breast cancer risk in other populations, due to its low prevalence. Recent studies have proposed a role for the mutation in colorectal cancer, finding a strong association between the CHEK21100delC mutation and hereditary breast and colorectal cancer (HBCC). A previous study suggested that the CHEK21100delC variant was not of clinical relevance in Spanish breast/ovarian cancer families. Here, we demonstrate that this genetic variant is not of clinical relevance for HNPCC and HBCC Spanish families.

Defects in X-chromosome inactivation distort sex ratio in mice. The BRCA1 gene is also involved in X-chromosome inactivation, suggesting the possibility that some sex-ratio distortion may be associated with BRCA1-related human cancer syndromes.To determine whether BRCA1 mutations are associated with distortion of the sex ratio of births in families with breast cancer, ovarian cancer, or both.Analysis of germline mutations in participants from Spain who had been screened for BRCA between 1998 and 2002.Sixty-eight families with at least 3 breast cancer cases or ovarian cancer cases, or both types of cancer in 2 generations (germline mutations: BRCA1, n = 17; BRCA2, n = 15; and BRCA unrelated, n = 36). An average of 4 relatives per family were tested for the corresponding BRCA mutation.Male and female births registered in breast and/or ovarian pedigrees tested for the presence of BRCA1 and BRCA2 germline mutations.Of BRCA1-related breast and/or ovarian cancer pedigrees, there was a 2-fold excess of female births (218 female vs 109 male births). Of BRCA2-related or BRCA-unrelated breast and/or ovarian cancer pedigrees, there was not an excess of female births (175 female/150 male and 344 female/315 male, respectively). Of 327 BRCA1 births, 218 (67%) were female births compared with 54% among BRCA2 pedigrees (175/327; P.001) and 52% among BRCA-unrelated pedigrees (344/659; P.001). Female births increased in the offspring of BRCA1 carriers compared with BRCA2 carriers (67% vs 52%; P =.004).In these families with breast and/or ovarian cancer, mutations in BRCA1 but not BRCA2 were associated with a sex ratio skewed against male births.

MicroRNAs (miRNAs) are short non-coding RNA molecules playing regulatory roles by repressing translation or cleaving RNA transcripts. Although the number of verified human miRNA is still expanding, only few have been functionally described. However, emerging evidences suggest the potential involvement of altered regulation of miRNA in pathogenesis of cancers and these genes are thought to function as both tumours suppressor and oncogenes. In our study, we examined by Real-Time PCR the expression of 156 mature miRNA in colorectal cancer. The analysis by several bioinformatics algorithms of colorectal tumours and adjacent non-neoplastic tissues from patients and colorectal cancer cell lines allowed identifying a group of 13 miRNA whose expression is significantly altered in this tumor. The most significantly deregulated miRNA being miR-31, miR-96, miR-133b, miR-135b, miR-145, and miR-183. In addition, the expression level of miR-31 was correlated with the stage of CRC tumor. Our results suggest that miRNA expression profile could have relevance to the biological and clinical behavior of colorectal neoplasia.

ContextDefects in X-chromosome inactivation distort sex ratio in mice. The BRCA1 gene is also involved in X-chromosome inactivation, suggesting the possibility that some sex-ratio distortion may be associated with BRCA1-related human cancer syndromes.ObjectiveTo determine whether BRCA1 mutations are associated with distortion of the sex ratio of births in families with breast cancer, ovarian cancer, or both.Design and SettingAnalysis of germline mutations in participants from Spain who had been screened for BRCA between 1998 and 2002.ParticipantsSixty-eight families with at least 3 breast cancer cases or ovarian cancer cases, or both types of cancer in 2 generations (germline mutations: BRCA1, n = 17; BRCA2, n = 15; and BRCA unrelated, n = 36). An average of 4 relatives per family were tested for the corresponding BRCA mutation.Main Outcome MeasureMale and female births registered in breast and/or ovarian pedigrees tested for the presence of BRCA1 and BRCA2 germline mutations.ResultsOf BRCA1-related breast and/or ovarian cancer pedigrees, there was a 2-fold excess of female births (218 female vs 109 male births). Of BRCA2-related or BRCA-unrelated breast and/or ovarian cancer pedigrees, there was not an excess of female births (175 female/150 male and 344 female/315 male, respectively). Of 327 BRCA1 births, 218 (67%) were female births compared with 54% among BRCA2 pedigrees (175/327; P

e14531 Background: We have previously reported that biweekly gemcitabine-based therapy was active in pretreated mCRC pts (De la Cruz et al, ASCO GI 2008, abstr 377). We aimed to investigate whether germ line polymorphisms may be predictors of clinical outcome in mCRC pts treated with this combination. Methods: We evaluated SNPs of genes involved in gemcitabine metabolism (CDA, dCDK, RRM1, DCTD, SLC28A1), DNA repair (XRCC1, XRCC 3, ERCC1, XPD) and two IgG Fcγ R polymorphisms (Fcγ RIIa- H131R and Fcγ RIIIa-V158F), reported to be predictive of cetuximab-based therapy, even in K-ras mutated pts. Whole blood was collected and DNA extracted from peripheral lymphocytes using a DNA isolation Kit (Qiagen, CA). Polymorphisms were detected using the TaqMan genotyping assays (Applied Biosystems, CA). Clinical response was evaluated according to RECIST criteria. Univariate analysis (Fisher´s exact test for response; log-rank test for TTP and OS) was performed to examine associations between polymorphisms and clinical outcome. Results: Blood samples of 35 out of 39 enrolled pts were tested for genomic analysis. Patient‘s characteristics are as follows; M/F: 26/13, median age: 59 years, median number of prior chemotherapy lines: 2 (1–4), Köhne risk groups; low: 8 pts, intermediate: 18 pts, high: 13 pts. After a median follow-up of 20 months, median progression-free survival (PFS) is 6.7 months (95% CI; 5.2–8.3) and median overall survival 15.4 m (95% CI; 14.7–16.1). Overall response rate (ORR) was 53.8%. RRM1 R284R SNPs (p=0.06), T741T (p=0.02) and RRM1–524CT (p=0.04) were linked to clinical responsiveness. All pts possessing 2 or 3 favourable RRM1 SNPs responded. ORR was 53.3% for pts with no favourable SNPs versus 85% for pts with any favourable SNP (p=0.04). ORR was also significantly higher in pts with any histidine allele in the Fcγ RIIa polymorphism (93% vs. 60%, p=0.034). Median PFS was adversely affected in pts harbouring no favourable RRM1 SNPs (4.2m versus 6.7 months, p=0.019) and in those pts with homozygous Fcγ RIIa-131R allele (4.4 vs. 7.5 months, p=0.007). Conclusions: Polymorphic variants of RRM1 and Fcγ RIIa may play a key role in the efficacy of gemcitabine and cetuximab-based therapy for mCRC pts. No significant financial relationships to disclose.