Minerva Elements Records

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    Germline variants in IL4, MGMT and AKT1 are associated with prostate cancer-specific mortality: An analysis of 12,082 prostate cancer cases
    FitzGerald, LM ; Zhao, S ; Leonardson, A ; Geybels, MS ; Kolb, S ; Lin, DW ; Wright, JL ; Eeles, R ; Kote-Jarai, Z ; Govindasami, K ; Giles, GG ; Southey, MC ; Schleutker, J ; Tammela, TL ; Sipeky, C ; Penney, KL ; Stampfer, MJ ; Gronberg, H ; Wiklund, F ; Stattin, P ; Hugosson, J ; Karyadi, DM ; Ostrander, EA ; Feng, Z ; Stanford, JL (NATURE PUBLISHING GROUP, 2018-06)
    BACKGROUND: Prostate cancer (PCa) is a leading cause of mortality and genetic factors can influence tumour aggressiveness. Several germline variants have been associated with PCa-specific mortality (PCSM), but further replication evidence is needed. METHODS: Twenty-two previously identified PCSM-associated genetic variants were genotyped in seven PCa cohorts (12,082 patients; 1544 PCa deaths). For each cohort, Cox proportional hazards models were used to calculate hazard ratios and 95% confidence intervals for risk of PCSM associated with each variant. Data were then combined using a meta-analysis approach. RESULTS: Fifteen SNPs were associated with PCSM in at least one of the seven cohorts. In the meta-analysis, after adjustment for clinicopathological factors, variants in the MGMT (rs2308327; HR 0.90; p-value = 3.5 × 10-2) and IL4 (rs2070874; HR 1.22; p-value = 1.1 × 10-3) genes were confirmed to be associated with risk of PCSM. In analyses limited to men diagnosed with local or regional stage disease, a variant in AKT1, rs2494750, was also confirmed to be associated with PCSM risk (HR 0.81; p-value = 3.6 × 10-2). CONCLUSIONS: This meta-analysis confirms the association of three genetic variants with risk of PCSM, providing further evidence that genetic background plays a role in PCa-specific survival. While these variants alone are not sufficient as prognostic biomarkers, these results may provide insights into the biological pathways modulating tumour aggressiveness.
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    Height, selected genetic markers and prostate cancer risk: results from the PRACTICAL consortium.
    Lophatananon, A ; Stewart-Brown, S ; Kote-Jarai, Z ; Al Olama, AA ; Garcia, SB ; Neal, DE ; Hamdy, FC ; Donovan, JL ; Giles, GG ; Fitzgerald, LM ; Southey, MC ; Pharoah, P ; Pashayan, N ; Gronberg, H ; Wiklund, F ; Aly, M ; Stanford, JL ; Brenner, H ; Dieffenbach, AK ; Arndt, V ; Park, JY ; Lin, H-Y ; Sellers, T ; Slavov, C ; Kaneva, R ; Mitev, V ; Batra, J ; Spurdle, A ; Clements, JA ; APCB BioResource, ; PRACTICAL consortium, ; Easton, D ; Eeles, RA ; Muir, K (Springer Science and Business Media LLC, 2018-03-20)
    This corrects the article DOI: 10.1038/bjc.2017.231.
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    The CHEK2 Variant C.349A>G Is Associated with Prostate Cancer Risk and Carriers Share a Common Ancestor
    Brandao, A ; Paulo, P ; Maia, S ; Pinheiro, M ; Peixoto, A ; Cardoso, M ; Silva, MP ; Santos, C ; Eeles, RA ; Kote-Jarai, Z ; Muir, K ; Schleutker, J ; Wang, Y ; Pashayan, N ; Batra, J ; Gronberg, H ; Neal, DE ; Nordestgaard, BG ; Tangen, CM ; Southey, MC ; Wolk, A ; Albanes, D ; Haiman, CA ; Travis, RC ; Stanford, JL ; Mucci, LA ; West, CML ; Nielsen, SF ; Kibel, AS ; Cussenot, O ; Berndt, SI ; Koutros, S ; Sorensen, KD ; Cybulski, C ; Grindedal, EM ; Park, JY ; Ingles, SA ; Maier, C ; Hamilton, RJ ; Rosenstein, BS ; Vega, A ; Kogevinas, M ; Wiklund, F ; Penney, KL ; Brenner, H ; John, EM ; Kaneva, R ; Logothetis, CJ ; Neuhausen, SL ; De Ruyck, K ; Razack, A ; Newcomb, LF ; Lessel, D ; Usmani, N ; Claessens, F ; Gago-Dominguez, M ; Townsend, PA ; Roobol, MJ ; Teixeira, MR (MDPI, 2020-11)
    The identification of recurrent founder variants in cancer predisposing genes may have important implications for implementing cost-effective targeted genetic screening strategies. In this study, we evaluated the prevalence and relative risk of the CHEK2 recurrent variant c.349A>G in a series of 462 Portuguese patients with early-onset and/or familial/hereditary prostate cancer (PrCa), as well as in the large multicentre PRACTICAL case-control study comprising 55,162 prostate cancer cases and 36,147 controls. Additionally, we investigated the potential shared ancestry of the carriers by performing identity-by-descent, haplotype and age estimation analyses using high-density SNP data from 70 variant carriers belonging to 11 different populations included in the PRACTICAL consortium. The CHEK2 missense variant c.349A>G was found significantly associated with an increased risk for PrCa (OR 1.9; 95% CI: 1.1-3.2). A shared haplotype flanking the variant in all carriers was identified, strongly suggesting a common founder of European origin. Additionally, using two independent statistical algorithms, implemented by DMLE+2.3 and ESTIAGE, we were able to estimate the age of the variant between 2300 and 3125 years. By extending the haplotype analysis to 14 additional carrier families, a shared core haplotype was revealed among all carriers matching the conserved region previously identified in the high-density SNP analysis. These findings are consistent with CHEK2 c.349A>G being a founder variant associated with increased PrCa risk, suggesting its potential usefulness for cost-effective targeted genetic screening in PrCa families.
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    Integrating DNA methylation measures to improve clinical risk assessment: are we there yet? The case of BRCA1 methylation marks to improve clinical risk assessment of breast cancer
    Wong, EM ; Southey, MC ; Terry, MB (SPRINGERNATURE, 2020-04)
    Current risk prediction models estimate the probability of developing breast cancer over a defined period based on information such as family history, non-genetic breast cancer risk factors, genetic information from high and moderate risk breast cancer susceptibility genes and, over the past several years, polygenic risk scores (PRS) from more than 300 common variants. The inclusion of additional data such as PRS improves risk stratification, but it is anticipated that the inclusion of epigenetic marks could further improve model performance accuracy. Here, we present the case for including information on DNA methylation marks to improve the accuracy of these risk prediction models, and consider how this approach contrasts genetic information, as identifying DNA methylation marks associated with breast cancer risk differs inherently according to the source of DNA, approaches to the measurement of DNA methylation, and the timing of measurement. We highlight several DNA-methylation-specific challenges that should be considered when incorporating information on DNA methylation marks into risk prediction models, using BRCA1, a highly penetrant breast cancer susceptibility gene, as an example. Only after careful consideration of study design and DNA methylation measurement will prospective performance of the incorporation of information regarding DNA methylation marks into risk prediction models be valid.
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    Methylation alteration of SHANK1 as a predictive, diagnostic and prognostic biomarker for chronic lymphocytic leukemia.
    Loi, E ; Moi, L ; Fadda, A ; Satta, G ; Zucca, M ; Sanna, S ; Amini Nia, S ; Cabras, G ; Padoan, M ; Magnani, C ; Miligi, L ; Piro, S ; Gentilini, D ; Ennas, MG ; Southey, MC ; Giles, GG ; Wong Doo, N ; Cocco, P ; Zavattari, P (Impact Journals, LLC, 2019-08-13)
    Chronic lymphocytic leukemia (CLL) is a clinically heterogeneous disease characterized by the clonal expansion of malignant B cells. To predict the clinical course of the disease, the identification of diagnostic biomarkers is urgently needed. Aberrant methylation patterns may predict CLL development and its course, being very early changes during carcinogenesis. Our aim was to identify CLL specific methylation patterns and to evaluate whether methylation aberrations in selected genes are associated with changes in gene expression. Here, by performing a genome-wide methylation analysis, we identified several CLL-specific methylation alterations. We focused on the most altered one, at a CpG island located in the body of SHANK1 gene, in our CLL cases compared to healthy controls. This methylation alteration was successfully validated in a larger cohort including 139 CLL and 20 control in silico samples. We also found a positive correlation between SHANK1 methylation level and absolute lymphocyte count, in particular CD19+ B cells, in CLL patients. Moreover, we were able to detect gains of methylation at SHANK1 in blood samples collected years prior to diagnosis. Overall, our results suggest methylation alteration at this SHANK1 CpG island as a biomarker for risk and diagnosis of CLL, and also in the personalized quantification of tumor aggressiveness.
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    Alternative splicing and ACMG-AMP-2015-based classification of PALB2 genetic variants: an ENIGMA report
    Lopez-Perolio, I ; Leman, R ; Behar, R ; Lattimore, V ; Pearson, JF ; Castera, L ; Martins, A ; Vaur, D ; Goardon, N ; Davy, G ; Garre, P ; Garcia-Barberan, V ; Llovet, P ; Perez-Segura, P ; Diaz-Rubio, E ; Caldes, T ; Hruska, KS ; Hsuan, V ; Wu, S ; Pesaran, T ; Karam, R ; Vallon-Christersson, J ; Borg, A ; Valenzuela-Palomo, A ; Velasco, EA ; Southey, M ; Vreeswijk, MPG ; Devilee, P ; Kvist, A ; Spurdle, AB ; Walker, LC ; Krieger, S ; de la Hoya, M (BMJ PUBLISHING GROUP, 2019-07)
    BACKGROUND: PALB2 monoallelic loss-of-function germ-line variants confer a breast cancer risk comparable to the average BRCA2 pathogenic variant. Recommendations for risk reduction strategies in carriers are similar. Elaborating robust criteria to identify loss-of-function variants in PALB2-without incurring overprediction-is thus of paramount clinical relevance. Towards this aim, we have performed a comprehensive characterisation of alternative splicing in PALB2, analysing its relevance for the classification of truncating and splice site variants according to the 2015 American College of Medical Genetics and Genomics-Association for Molecular Pathology guidelines. METHODS: Alternative splicing was characterised in RNAs extracted from blood, breast and fimbriae/ovary-related human specimens (n=112). RNAseq, RT-PCR/CE and CloneSeq experiments were performed by five contributing laboratories. Centralised revision/curation was performed to assure high-quality annotations. Additional splicing analyses were performed in PALB2 c.212-1G>A, c.1684+1G>A, c.2748+2T>G, c.3113+5G>A, c.3350+1G>A, c.3350+4A>C and c.3350+5G>A carriers. The impact of the findings on PVS1 status was evaluated for truncating and splice site variant. RESULTS: We identified 88 naturally occurring alternative splicing events (81 newly described), including 4 in-frame events predicted relevant to evaluate PVS1 status of splice site variants. We did not identify tissue-specific alternate gene transcripts in breast or ovarian-related samples, supporting the clinical relevance of blood-based splicing studies. CONCLUSIONS: PVS1 is not necessarily warranted for splice site variants targeting four PALB2 acceptor sites (exons 2, 5, 7 and 10). As a result, rare variants at these splice sites cannot be assumed pathogenic/likely pathogenic without further evidences. Our study puts a warning in up to five PALB2 genetic variants that are currently reported as pathogenic/likely pathogenic in ClinVar.
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    Identification of new breast cancer predisposition genes via whole exome sequencing
    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 (Springer Science and Business Media LLC, 2012-01)
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    DNA methylation-based biological aging and cancer risk and survival: Pooled analysis of seven prospective studies
    Dugue, P-A ; Bassett, JK ; Joo, JE ; Jung, C-H ; Wong, EM ; Moreno-Betancur, M ; Schmidt, D ; Makalic, E ; Li, S ; Severi, G ; Hodge, AM ; Buchanan, DD ; English, DR ; Hopper, JL ; Southey, MC ; Giles, GG ; Milne, RL (WILEY, 2018-04-15)
    The association between aging and cancer is complex. Recent studies have developed measures of biological aging based on DNA methylation and called them "age acceleration." We aimed to assess the associations of age acceleration with risk of and survival from seven common cancers. Seven case-control studies of DNA methylation and colorectal, gastric, kidney, lung, prostate and urothelial cancer and B-cell lymphoma nested in the Melbourne Collaborative Cohort Study were conducted. Cancer cases, vital status and cause of death were ascertained through linkage with cancer and death registries. Conditional logistic regression and Cox models were used to estimate odds ratios (OR) and hazard ratios (HR) and 95% confidence intervals (CI) for associations of five age acceleration measures derived from the Human Methylation 450 K Beadchip assay with cancer risk (N = 3,216 cases) and survival (N = 1,726 deaths), respectively. Epigenetic aging was associated with increased cancer risk, ranging from 4% to 9% per five-year age acceleration for the 5 measures considered. Heterogeneity by study was observed, with stronger associations for risk of kidney cancer and B-cell lymphoma. An associated increased risk of death following cancer diagnosis ranged from 2% to 6% per five-year age acceleration, with no evidence of heterogeneity by cancer site. Cancer risk and mortality were increased by 15-30% for the fourth versus first quartile of age acceleration. DNA methylation-based measures of biological aging are associated with increased cancer risk and shorter cancer survival, independently of major health risk factors.
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    Associations of alcohol intake, smoking, physical activity and obesity with survival following colorectal cancer diagnosis by stage, anatomic site and tumor molecular subtype
    Jayasekara, H ; English, DR ; Haydon, A ; Hodge, AM ; Lynch, BM ; Rosty, C ; Williamson, EJ ; Clendenning, M ; Southey, MC ; Jenkins, MA ; Room, R ; Hopper, JL ; Milne, RL ; Buchanan, DD ; Giles, GG ; MacInnis, RJ (WILEY, 2018-01-15)
    The influence of lifestyle factors on survival following a diagnosis of colorectal cancer (CRC) is not well established. We examined associations between lifestyle factors measured before diagnosis and CRC survival. The Melbourne Collaborative Cohort Study collected data on alcohol intake, cigarette smoking and physical activity, and body measurements at baseline (1990-1994) and wave 2 (2003-2007). We included participants diagnosed to 31 August 2015 with incident stages I-III CRC within 10-years post exposure assessment. Information on tumor characteristics and vital status was obtained. Tumor DNA was tested for microsatellite instability (MSI) and somatic mutations in oncogenes BRAF (V600E) and KRAS. We estimated hazard ratios (HRs) for associations between lifestyle factors and overall and CRC-specific mortality using Cox regression. Of 724 eligible CRC cases, 339 died (170 from CRC) during follow-up (average 9.0 years). Exercise (non-occupational/leisure-time) was associated with higher CRC-specific survival for stage II (HR = 0.25, 95% CI: 0.10-0.60) but not stages I/III disease (p for interaction = 0.01), and possibly for colon and KRAS wild-type tumors. Waist circumference was inversely associated with CRC-specific survival (HR = 1.25 per 10 cm increment, 95% CI: 1.08-1.44), independent of stage, anatomic site and tumor molecular status. Cigarette smoking was associated with lower overall survival, with suggestive evidence of worse survival for BRAF mutated CRC, but not with CRC-specific survival. Alcohol intake was not associated with survival. Survival did not differ by MSI status. We have identified pre-diagnostic predictors of survival following CRC that may have clinical and public health relevance.
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    Genome-Wide Measures of Peripheral Blood Dna Methylation and Prostate Cancer Risk in a Prospective Nested Case-Control Study
    FitzGerald, LM ; Naeem, H ; Makalic, E ; Schmidt, DF ; Dowty, JG ; Joo, JE ; Jung, C-H ; Bassett, JK ; Dugue, P-A ; Chung, J ; Lonie, A ; Milne, RL ; Wong, EM ; Hopper, JL ; English, DR ; Severi, G ; Baglietto, L ; Pedersen, J ; Giles, GG ; Southey, MC (WILEY, 2017-04-01)