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Dareng EO, Coetzee SG, Tyrer JP, Peng PC, Rosenow W, Chen S, Davis BD, Dezem FS, Seo JH, Nameki R, Reyes AL, Aben KKH, Anton-Culver H, Antonenkova NN, Aravantinos G, Bandera EV, Beane Freeman LE, Beckmann MW, Beeghly-Fadiel A, Benitez J, Bernardini MQ, Bjorge L, Black A, Bogdanova NV, Bolton KL, Brenton JD, Budzilowska A, Butzow R, Cai H, Campbell I, Cannioto R, Chang-Claude J, Chanock SJ, Chen K, Chenevix-Trench G, Chiew YE, Cook LS, DeFazio A, Dennis J, Doherty JA, Dörk T, du Bois A, Dürst M, Eccles DM, Ene G, Fasching PA, Flanagan JM, Fortner RT, Fostira F, Gentry-Maharaj A, Giles GG, Goodman MT, Gronwald J, Haiman CA, Håkansson N, Heitz F, Hildebrandt MAT, Høgdall E, Høgdall CK, Huang RY, Jensen A, Jones ME, Kang D, Karlan BY, Karnezis AN, Kelemen LE, Kennedy CJ, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Larson MC, Le ND, Lester J, Li L, Lubiński J, Lush M, Marks JR, Matsuo K, May T, McLaughlin JR, McNeish IA, Menon U, Missmer S, Modugno F, Moffitt M, Monteiro AN, Moysich KB, Narod SA, Nguyen-Dumont T, Odunsi K, Olsson H, Onland-Moret NC, Park SK, Pejovic T, Permuth JB, Piskorz A, Prokofyeva D, Riggan MJ, Risch HA, Rodríguez-Antona C, Rossing MA, Sandler DP, Setiawan VW, Shan K, Song H, Southey MC, Steed H, Sutphen R, Swerdlow AJ, Teo SH, Terry KL, Thompson PJ, Vestrheim Thomsen LC, Titus L, Trabert B, Travis R, Tworoger SS, Valen E, Van Nieuwenhuysen E, Edwards DV, Vierkant RA, Webb PM, Weinberg CR, Weise RM, Wentzensen N, White E, Winham SJ, Wolk A, Woo YL, Wu AH, Yan L, Yannoukakos D, Zeinomar N, Zheng W, Ziogas A, Berchuck A, Goode EL, Huntsman DG, Pearce CL, Ramus SJ, Sellers TA, Freedman ML, Lawrenson K, Schildkraut JM, Hazelett D, Plummer JT, Kar S, Jones MR, Pharoah PDP, Gayther SA. Integrative multi-omics analyses to identify the genetic and functional mechanisms underlying ovarian cancer risk regions. Am J Hum Genet 2024; 111:1061-1083. [PMID: 38723632 PMCID: PMC11179261 DOI: 10.1016/j.ajhg.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 04/16/2024] [Accepted: 04/16/2024] [Indexed: 06/07/2024] Open
Abstract
To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10-8) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10-5). Fine mapping identified 4,008 CCVs in these regions, of which 1,452 CCVs were located in ovarian cancer-related chromatin marks with significant enrichment in active enhancers, active promoters, and active regions for CCVs from each EOC histotype. Transcriptome-wide association and colocalization analyses across histotypes using tissue-specific and cross-tissue datasets identified 86 candidate susceptibility genes in known EOC risk regions and 32 genes in 23 additional genomic regions that may represent novel EOC risk loci (false discovery rate <0.05). Finally, by integrating genome-wide HiChIP interactome analysis with transcriptome-wide association study (TWAS), variant effect predictor, transcription factor ChIP-seq, and motifbreakR data, we identified candidate gene-CCV interactions at each locus. This included risk loci where TWAS identified one or more candidate susceptibility genes (e.g., HOXD-AS2, HOXD8, and HOXD3 at 2q31) and other loci where no candidate gene was identified (e.g., MYC and PVT1 at 8q24) by TWAS. In summary, this study describes a functional framework and provides a greater understanding of the biological significance of risk alleles and candidate gene targets at EOC susceptibility loci identified by a genome-wide association study.
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Rashidi A, Jung J, Kao R, Nguyen EL, Le T, Ton B, Chen WP, Ziogas A, Sadigh G. Interventions to mitigate cancer-related medical financial hardship: A systematic review and meta-analysis. Cancer 2024. [PMID: 38758809 DOI: 10.1002/cncr.35367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 04/01/2024] [Accepted: 04/22/2024] [Indexed: 05/19/2024]
Abstract
BACKGROUND This study systematically reviewed interventions mitigating financial hardship in patients with cancer and assessed effectiveness using a meta-analytic method. METHODS PubMed, Cochrane, Scopus, CINAHL, and Web of Science were searched for articles published in English during January 2000-April 2023. Two independent reviewers selected prospective clinical trials with an intervention targeting and an outcome measuring financial hardship. Quality appraisal and data extraction were performed independently by two reviewers using a quality assessment tool. A random-effects model meta-analysis was performed. Reporting followed the preferred reporting items for systematic review and meta-analyses guidelines. RESULTS Eleven studies (2211 participants; 55% male; mean age, 59.29 years) testing interventions including financial navigation, financial education, and cost discussion were included. Financial worry improved in only 27.3% of 11 studies. Material hardship and cost-related care nonadherence remained unchanged in the two studies measuring these outcomes. Four studies (373 participants; 37% male, mean age, 55.88 years) assessed the impact of financial navigation on financial worry using the comprehensive score of financial toxicity (COST) measure (score range, 0-44; higher score = lower financial worry) and were used for meta-analysis. There was no significant change in the mean of pooled COST score between post- and pre-intervention (1.21; 95% confidence interval, -6.54 to 8.96; p = .65). Adjusting for pre-intervention COST, mean change of COST significantly decreased by 0.88 with every 1-unit increase in pre-intervention COST (p = .02). The intervention significantly changed COST score when pre-intervention COST was ≤14.5. CONCLUSION A variety of interventions have been tested to mitigate financial hardship. Financial navigation can mitigate financial worry among high-risk patients.
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Hari A, Chang J, Villanueva C, Ziogas A, Vieira V, Bristow RE. Short-term survival analysis of a risk-adjusted model for ovarian cancer care. Gynecol Oncol 2024; 184:123-131. [PMID: 38309029 DOI: 10.1016/j.ygyno.2024.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 12/31/2023] [Accepted: 01/05/2024] [Indexed: 02/05/2024]
Abstract
OBJECTIVE To quantify the impact on short-term ovarian cancer survival associated with treatment at high-performing hospitals using the observed-to-expected ratio (O/E) for adherence to ovarian cancer treatment guidelines as a risk-adjusted measure of hospital quality care. METHODS This was a retrospective population-based study of stage I-IV invasive epithelial ovarian cancer reported to California Cancer Registry 1996-2017. A fit logistic regression model, risk-adjusted for patient and disease characteristics, was used to calculate O/E for each hospital stratified by hospital annual case volume. Cox proportional hazards model was used for survival analyses at 3, 6, 12, 24 months and stratified according to sociodemographic characteristics. RESULTS The study population included 35,725 subjects treated at 443 hospitals: Low-O/E - 26.4% of cases; Intermediate-O/E - 55.5% of cases; and High-O/E - 18.1% of cases. Overall median survival by hospital category was: High-O/E = 72.5 months (95% CI = 68.6-78.6 months), Intermediate-O/E = 68.6 months (95% CI = 65.9-71.6 months), Low-O/E = 47.0 months (95% CI = 44.2-49.2 months). Initial treatment at a High-O/E hospital (HR = 1.00) was a statistically significant and independent predictor of improved short-term survival compared to Low-O/E hospitals at 3 months (HR = 1.46, 95% CI = 1.29-1.65), 6 months (HR = 1.35, 95% CI = 1.22-1.50), 12 months (HR = 1.27, 95% CI = 1.17-1.38), and 24 months (HR = 1.19, 95% CI = 1.11-1.27). Significant and independent associations between improved sort-term survival and High/O/E care were observed for Whites, Hispanics, Asian/Pacific Islanders (A/PI), across SES strata, and among all payer categories. CONCLUSION Ovarian cancer care at a High-O/E hospital is an independent predictor of improved outcome and the survival advantage is disproportionately weighted toward the short-term time horizon following diagnosis.
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Barnes DR, Tyrer JP, Dennis J, Leslie G, Bolla MK, Lush M, Aeilts AM, Aittomäki K, Andrieu N, Andrulis IL, Anton-Culver H, Arason A, Arun BK, Balmaña J, Bandera EV, Barkardottir RB, Berger LP, de Gonzalez AB, Berthet P, Białkowska K, Bjørge L, Blanco AM, Blok MJ, Bobolis KA, Bogdanova NV, Brenton JD, Butz H, Buys SS, Caligo MA, Campbell I, Castillo C, Claes KB, Colonna SV, Cook LS, Daly MB, Dansonka-Mieszkowska A, de la Hoya M, deFazio A, DePersia A, Ding YC, Domchek SM, Dörk T, Einbeigi Z, Engel C, Evans DG, Foretova L, Fortner RT, Fostira F, Foti MC, Friedman E, Frone MN, Ganz PA, Gentry-Maharaj A, Glendon G, Godwin AK, González-Neira A, Greene MH, Gronwald J, Guerrieri-Gonzaga A, Hamann U, Hansen TV, Harris HR, Hauke J, Heitz F, Hogervorst FB, Hooning MJ, Hopper JL, Huff CD, Huntsman DG, Imyanitov EN, Izatt L, Jakubowska A, James PA, Janavicius R, John EM, Kar S, Karlan BY, Kennedy CJ, Kiemeney LA, Konstantopoulou I, Kupryjanczyk J, Laitman Y, Lavie O, Lawrenson K, Lester J, Lesueur F, Lopez-Pleguezuelos C, Mai PL, Manoukian S, May T, McNeish IA, Menon U, Milne RL, Modugno F, Mongiovi JM, Montagna M, Moysich KB, Neuhausen SL, Nielsen FC, Noguès C, Oláh E, Olopade OI, Osorio A, Papi L, Pathak H, Pearce CL, Pedersen IS, Peixoto A, Pejovic T, Peng PC, Peshkin BN, Peterlongo P, Powell CB, Prokofyeva D, Pujana MA, Radice P, Rashid MU, Rennert G, Richenberg G, Sandler DP, Sasamoto N, Setiawan VW, Sharma P, Sieh W, Singer CF, Snape K, Sokolenko AP, Soucy P, Southey MC, Stoppa-Lyonnet D, Sutphen R, Sutter C, Teixeira MR, Terry KL, Thomsen LCV, Tischkowitz M, Toland AE, Van Gorp T, Vega A, Velez Edwards DR, Webb PM, Weitzel JN, Wentzensen N, Whittemore AS, Winham SJ, Wu AH, Yadav S, Yu Y, Ziogas A, Berchuck A, Couch FJ, Goode EL, Goodman MT, Monteiro AN, Offit K, Ramus SJ, Risch HA, Schildkraut JM, Thomassen M, Simard J, Easton DF, Jones MR, Chenevix-Trench G, Gayther SA, Antoniou AC, Pharoah PD. Large-scale genome-wide association study of 398,238 women unveils seven novel loci associated with high-grade serous epithelial ovarian cancer risk. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.02.29.24303243. [PMID: 38496424 PMCID: PMC10942532 DOI: 10.1101/2024.02.29.24303243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Background Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We used data from the Ovarian Cancer Association Consortium (OCAC), Consortium of Investigators of Modifiers of BRCA1/BRCA2 (CIMBA), UK Biobank (UKBB), and FinnGen to identify novel HGSOC susceptibility loci and develop polygenic scores (PGS). Methods We analyzed >22 million variants for 398,238 women. Associations were assessed separately by consortium and meta-analysed. OCAC and CIMBA data were used to develop PGS which were trained on FinnGen data and validated in UKBB and BioBank Japan. Results Eight novel variants were associated with HGSOC risk. An interesting discovery biologically was finding that TP53 3'-UTR SNP rs78378222 was associated with HGSOC (per T allele relative risk (RR)=1.44, 95%CI:1.28-1.62, P=1.76×10-9). The optimal PGS included 64,518 variants and was associated with an odds ratio of 1.46 (95%CI:1.37-1.54) per standard deviation in the UKBB validation (AUROC curve=0.61, 95%CI:0.59-0.62). Conclusions This study represents the largest GWAS for HGSOC to date. The results highlight that improvements in imputation reference panels and increased sample sizes can identify HGSOC associated variants that previously went undetected, resulting in improved PGS. The use of updated PGS in cancer risk prediction algorithms will then improve personalized risk prediction for HGSOC.
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Levi H, Carmi S, Rosset S, Yerushalmi R, Zick A, Yablonski-Peretz T, Wang Q, Bolla MK, Dennis J, Michailidou K, Lush M, Ahearn T, Andrulis IL, Anton-Culver H, Antoniou AC, Arndt V, Augustinsson A, Auvinen P, Beane Freeman L, Beckmann M, Behrens S, Bermisheva M, Bodelon C, Bogdanova NV, Bojesen SE, Brenner H, Byers H, Camp N, Castelao J, Chang-Claude J, Chirlaque MD, Chung W, Clarke C, Collee MJ, Colonna S, Couch F, Cox A, Cross SS, Czene K, Daly M, Devilee P, Dork T, Dossus L, Eccles DM, Eliassen AH, Eriksson M, Evans G, Fasching P, Fletcher O, Flyger H, Fritschi L, Gabrielson M, Gago-Dominguez M, García-Closas M, Garcia-Saenz JA, Genkinger J, Giles GG, Goldberg M, Guénel P, Hall P, Hamann U, He W, Hillemanns P, Hollestelle A, Hoppe R, Hopper J, Jakovchevska S, Jakubowska A, Jernström H, John E, Johnson N, Jones M, Vijai J, Kaaks R, Khusnutdinova E, Kitahara C, Koutros S, Kristensen V, Kurian AW, Lacey J, Lambrechts D, Le Marchand L, Lejbkowicz F, Lindblom A, Loibl S, Lori A, Lubinski J, Mannermaa A, Manoochehri M, Mavroudis D, Menon U, Mulligan A, Murphy R, Nevelsteen I, Newman WG, Obi N, O'Brien K, Offit K, Olshan A, Plaseska-Karanfilska D, Olson J, Panico S, Park-Simon TW, Patel A, Peterlongo P, Rack B, Radice P, Rennert G, Rhenius V, Romero A, Saloustros E, Sandler D, Schmidt MK, Schwentner L, Shah M, Sharma P, Simard J, Southey M, Stone J, Tapper WJ, Taylor J, Teras L, Toland AE, Troester M, Truong T, van der Kolk LE, Weinberg C, Wendt C, Yang XR, Zheng W, Ziogas A, Dunning AM, Pharoah P, Easton DF, Ben-Sachar S, Elefant N, Shamir R, Elkon R. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel. J Med Genet 2023; 60:1186-1197. [PMID: 37451831 PMCID: PMC10715538 DOI: 10.1136/jmg-2023-109185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 05/28/2023] [Indexed: 07/18/2023]
Abstract
BACKGROUND Polygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women. METHODS We generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel. RESULTS In the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28). CONCLUSIONS Extant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women.
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Grants
- R01 CA176785 NCI NIH HHS
- NU58DP006344 NCCDPHP CDC HHS
- R37 CA070867 NCI NIH HHS
- HHSN261201800015I NCI NIH HHS
- R01 CA064277 NCI NIH HHS
- P50 CA116201 NCI NIH HHS
- G1000143 Medical Research Council
- P30 CA062203 NCI NIH HHS
- HHSN261201800015C NCI NIH HHS
- R01 CA047305 NCI NIH HHS
- HHSN261201800009I NCI NIH HHS
- R01 CA163353 NCI NIH HHS
- UM1 CA164917 NCI NIH HHS
- U01 CA199277 NCI NIH HHS
- U01 CA179715 NCI NIH HHS
- HHSN261201800032C NCI NIH HHS
- U54 CA156733 NCI NIH HHS
- HHSN261201800009C NCI NIH HHS
- Z01 CP010119 Intramural NIH HHS
- UM1 CA164973 NCI NIH HHS
- P01 CA087969 NCI NIH HHS
- UM1 CA164920 NCI NIH HHS
- NU58DP006320 CDC HHS
- UM1 CA176726 NCI NIH HHS
- R01 CA092447 NCI NIH HHS
- Z01 ES049030 Intramural NIH HHS
- R01 CA058860 NCI NIH HHS
- K07 CA092044 NCI NIH HHS
- HHSN261201800016C NCI NIH HHS
- P50 CA058223 NCI NIH HHS
- R01 CA100374 NCI NIH HHS
- P30 CA008748 NCI NIH HHS
- R01 CA128978 NCI NIH HHS
- R01 CA047147 NCI NIH HHS
- U19 CA148537 NCI NIH HHS
- R01 CA116167 NCI NIH HHS
- R01 CA148667 NCI NIH HHS
- R01 CA063464 NCI NIH HHS
- HHSN261201800016I NCI NIH HHS
- UM1 CA186107 NCI NIH HHS
- P30 CA023100 NCI NIH HHS
- U01 CA063464 NCI NIH HHS
- R01 CA077398 NCI NIH HHS
- R01 CA054281 NCI NIH HHS
- R01 CA132839 NCI NIH HHS
- P30 CA068485 NCI NIH HHS
- U01 CA058860 NCI NIH HHS
- U01 CA164920 NCI NIH HHS
- R35 CA253187 NCI NIH HHS
- 14136 Cancer Research UK
- U19 CA148112 NCI NIH HHS
- HHSN261201800032I NCI NIH HHS
- U01 CA098758 NCI NIH HHS
- Z01 ES044005 Intramural NIH HHS
- U19 CA148065 NCI NIH HHS
- P30 CA033572 NCI NIH HHS
- R01 CA069664 NCI NIH HHS
- Wellcome Trust
- 001 World Health Organization
- Z01 ES049033 Intramural NIH HHS
- R01 CA192393 NCI NIH HHS
- U01 CA164973 NCI NIH HHS
- R37 CA054281 NCI NIH HHS
- Consellería de Industria Programa Sectorial de Investigación Aplicada
- Statistics Netherlands
- South Eastern Norway Health Authority
- Lower Saxonian Cancer Society
- Lise Boserup Fund
- Heidelberger Zentrum für Personalisierte Onkologie Deutsches Krebsforschungszentrum In Der Helmholtz-Gemeinschaft
- Lon V. Smith Foundation
- Scottish Funding Council
- Komen Foundation
- Claudia von Schilling Foundation for Breast Cancer Research
- Russian Foundation for Basic Research
- Ligue Contre le Cancer
- Sigrid Juselius Foundation
- Kuopion Yliopistollinen Sairaala
- Sheffield Experimental Cancer Medicine Centre
- Stockholm läns landsting
- Department of Health and Human Services (USA)
- Department of Defence (USA)
- Stichting Tegen Kanker
- David F. and Margaret T. Grohne Family Foundation
- Sundhed og Sygdom, Det Frie Forskningsråd
- Stavros Niarchos Foundation
- Post-Cancer GWAS initiative
- Institute of the Ruhr University Bochum
- Instituto de Salud Carlos III
- Institute of Cancer Research
- Public Health Institute
- Fondation du cancer du sein du Québec
- Institut National de la Santé et de la Recherche Médicale
- Pink Ribbon
- Institute for Prevention and Occupational Medicine
- K.G. Jebsen Centre for Breast Cancer Research
- Research Centre for Genetic Engineering and Biotechnology
- Center of Excellence (Finland)
- Robert and Kate Niehaus Clinical Cancer Genetics Initiative
- Rudolf Bartling Foundation
- Center for Disease Control and Prevention (USA)
- Karolinska Institutet
- Norges Forskningsråd
- Robert Bosch Stiftung
- Intramural Research Funds of the National Cancer Institute (USA)
- Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra, ISCIII RETIC
- Intramural Research Program of the Division of Cancer Epidemiology and Genetics
- Centre International de Recherche sur le Cancer
- Queensland Cancer Fund
- Red Temática de Investigación Cooperativa en Cáncer
- Intramural Research Program of the National Institutes of Health
- National Health Service (UK)
- Ministerie van Volksgezondheid, Welzijn en Sport
- National cancer institute (USA)
- KWF Kankerbestrijding
- Märit and Hans Rausings Initiative Against Breast Cancer
- Associazione Italiana per la Ricerca sul Cancro
- Fundación Científica Asociación Española Contra el Cáncer
- ERC advanced grant
- Australian National Health and Medical Research Council
- Agence Nationale de la Recherche
- Dutch Prevention Funds,
- Agence Nationale de Sécurité Sanitaire de l'Alimentation, de l'Environnement et du Travail
- American Cancer Society
- Dutch Zorg Onderzoek
- Alexander von Humboldt-Stiftung
- Ministerio de Economia y Competitividad (Spain)
- Ministère du Développement Économique, de l’Innovation et de l’Exportation
- Susan G. Komen for the Cure
- Minister of Science and Higher Education
- Medical Research Council UK
- Ministry of Science and Higher Education of the Russian Federation
- Ministry of Science and Higher Education (Sweden)
- Against Breast Cancer
- Mutuelle Générale de l’Education Nationale
- Academy of Finland
- Deutsche Krebshilfe e.V.
- Dietmar-Hopp Foundation,
- Division of Cancer Prevention, National Cancer Institute
- Deutsche Krebshilfe
- World Cancer Research Fund
- Genome Québec
- National Cancer Institute’s Surveillance, Epidemiology and End Results Program
- Breast Cancer Campaign
- National Cancer Research Network
- Berta Kamprad Foundation FBKS
- Bert von Kantzows foundation
- Biomedical Research Centre at Guy’s and St Thomas
- Genome Canada
- Freistaat Sachsen
- Biobanking and Biomolecular Resources Research Infrastructure
- Friends of Hannover Medical School
- Breast Cancer Research Foundation
- California Department of Public Health
- Government of Russian Federation
- Deutsche Forschungsgemeinschaft
- National Institute for Health and Care Research
- National Health and Medical Research Council (Australia)
- German Federal Ministry of Research and Education
- National Institute of Environmental Health Sciences
- Breast Cancer Now
- Seventh Framework Programme
- Transcan
- Centrum för idrottsforskning
- UK National Institute for Health Research Biomedical Research Centre
- University of Crete
- National Breast Cancer Foundation (Finland)
- European Regional Development Fund
- National Breast Cancer Foundation (Australia)
- United States Army Medical Research and Materiel Command
- EU Horizon 2020 Research and Innovation Programme
- Directorate-General XII, Science, Research, and Development
- Baden Württemberg Ministry of Science, Research and Arts
- VicHealth
- Fondo de Investigación Sanitario
- Victorian Breast Cancer Research Consortium.
- Finnish Cancer Foundation
- University of Southern California San Francisco
- Fomento de la Investigación Clínica Independiente
- the Cancer Biology Research Center (CBRC), Djerassi Oncology Center
- Bundesministerium für Bildung und Forschung
- Cancerfonden
- Tel Aviv University Center for AI and Data Science
- University of Oulu
- National Breast Cancer Foundation (JS)
- Safra Center for Bioinformatics
- Fondation de France, Institut National du Cancer
- Israeli Science Foundation
- University of Utah
- National Cancer Center Research and Development Fund (Japan)
- Chief Scientist Office, Scottish Government Health and Social Care Directorate
- Oak Foundation
- Health Research Fund (FIS)
- Ontario Familial Breast Cancer Registry
- New South Wales Cancer Council
- North Carolina University Cancer Research Fund
- Kreftforeningen
- Northern California Breast Cancer Family Registry
- Institut Gustave Roussy
- Huntsman Cancer Institute, University of Utah
- Ovarian Cancer Research Fund
- NIHR Oxford Biomedical Research Centre
- Hellenic Health Foundation
- Oulun Yliopistollinen Sairaala
- Helmholtz Society
- Herlev and Gentofte Hospital
- PSRSIIRI-701
- Helsinki University Hospital Research Fund
- Cancer Council Victoria
- National Research Council (Italy)
- Cancer Council Tasmania
- Cancer Council Western Australia
- Hamburger Krebsgesellschaft
- Gustav V Jubilee foundation
- National Program of Cancer Registries
- Canadian Cancer Society
- Cancer Council South Australia
- Canadian Institutes of Health Research
- Cancer Council NSW
- Guy's & St. Thomas' NHS Foundation Trust
- Netherlands Organisation of Scientific Research
- Cancer Institute NSW
- National Institutes of Health (USA)
- National Research Foundation of Korea
- Syöpäsäätiö
- Cancer Foundation of Western Australia
- Netherlands Cancer Registry (NKR),
- Cancer Fund of North Savo
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6
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Ubbaonu CD, Chang J, Ziogas A, Mehta RS, Kansal KJ, Zell JA. Disparities in Receipt of National Comprehensive Cancer Network Guideline-Adherent Care and Outcomes among Women with Triple-Negative Breast Cancer by Race/Ethnicity, Socioeconomic Status, and Insurance Type. Cancers (Basel) 2023; 15:5586. [PMID: 38067290 PMCID: PMC10705726 DOI: 10.3390/cancers15235586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 11/08/2023] [Accepted: 11/14/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND The National Comprehensive Cancer Network guidelines were designed to improve patient outcomes. Here, we examine factors that may contribute to outcomes and guideline adherence in patients with triple-negative breast cancer. METHODS This was a retrospective cohort study of women with triple-negative breast cancer using the California Cancer Registry. Adherent treatment was defined as the receipt of a combination of surgery, lymph node assessment, adjuvant radiation, and/or chemotherapy. A multivariable logistic regression was used to determine the effects of independent variables on adherence to the NCCN guidelines. Disease-specific survival was calculated using Cox regression analysis. RESULTS A total of 16,858 women were analyzed. Black and Hispanic patients were less likely to receive guideline-adherent care (OR 0.82, 95%CI 0.73-0.92 and OR 0.87, 95%CI 0.79-0.95, respectively) compared to White patients. Hazard ratios adjusted for adherent care showed that Black patients had increased disease-specific mortality (HR 1.28, 95%CI 1.16-1.42, p < 0.0001) compared to White patients. CONCLUSIONS A significant majority of breast cancer patients in California continue to receive non-guideline-adherent care. Non-Hispanic Black patients and patients from lower SES quintile groups were less likely to receive guideline-adherent care. Patients with non-adherent care had worse disease-specific survival compared to recipients of NCCN guideline-adherent care.
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Phung MT, Lee AW, McLean K, Anton-Culver H, Bandera EV, Carney ME, Chang-Claude J, Cramer DW, Doherty JA, Fortner RT, Goodman MT, Harris HR, Jensen A, Modugno F, Moysich KB, Pharoah PDP, Qin B, Terry KL, Titus LJ, Webb PM, Wu AH, Zeinomar N, Ziogas A, Berchuck A, Cho KR, Hanley GE, Meza R, Mukherjee B, Pike MC, Pearce CL, Trabert B. A framework for assessing interactions for risk stratification models: the example of ovarian cancer. J Natl Cancer Inst 2023; 115:1420-1426. [PMID: 37436712 PMCID: PMC10637032 DOI: 10.1093/jnci/djad137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 06/08/2023] [Accepted: 06/30/2023] [Indexed: 07/13/2023] Open
Abstract
Generally, risk stratification models for cancer use effect estimates from risk/protective factor analyses that have not assessed potential interactions between these exposures. We have developed a 4-criterion framework for assessing interactions that includes statistical, qualitative, biological, and practical approaches. We present the application of this framework in an ovarian cancer setting because this is an important step in developing more accurate risk stratification models. Using data from 9 case-control studies in the Ovarian Cancer Association Consortium, we conducted a comprehensive analysis of interactions among 15 unequivocal risk and protective factors for ovarian cancer (including 14 non-genetic factors and a 36-variant polygenic score) with age and menopausal status. Pairwise interactions between the risk/protective factors were also assessed. We found that menopausal status modifies the association among endometriosis, first-degree family history of ovarian cancer, breastfeeding, and depot-medroxyprogesterone acetate use and disease risk, highlighting the importance of understanding multiplicative interactions when developing risk prediction models.
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Agapito I, Ng DQ, Milam J, Ziogas A, Anton‐Culver H, Chan A. Neuropsychiatric complications and associated management in adolescent and young adult cancer survivors: An All of Us study. Cancer Med 2023; 12:20953-20963. [PMID: 37902258 PMCID: PMC10709746 DOI: 10.1002/cam4.6641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 09/29/2023] [Accepted: 10/15/2023] [Indexed: 10/31/2023] Open
Abstract
BACKGROUND About 4.5% of new cancer cases affect adolescent and young adult aged between 15 and 39 years in the United States (US). However, the effect of neuropsychiatric conditions on long-term adolescent and young adult cancer (AYAC) survivors has not been formally investigated. Thus, the impact and management of late neuropsychiatric complications in AYAC survivors compared to non-cancer-matched controls (NCMC) in the US were evaluated using the All of Us (AoU) Research Program. METHODS Participants in the AoU Controlled Tier Dataset (v6) diagnosed with cancer between ages 15 and 39 were identified from electronic health records and surveys. AYAC survivors were matched with NCMC using the optimal pair-matching algorithm at a 1:4 ratio. Data on past diagnoses, current follow-up care, and treatment patterns of neuropsychiatric complications were collected. RESULTS Analysis was performed on 788 AYAC survivors and 3152 NCMC. AYAC survivors, with an average of 8.8 years since their first cancer diagnosis, were more likely than NCMC to receive a diagnosis of neuropathy, memory loss and epilepsy (p < 0.001). Survivors also had a higher rate of follow-up care and treatment utilization for these neurological conditions compared to NCMC (p < 0.05). Treatment utilization was highest among survivors receiving care for epilepsy (88%), and lower for neuropathy (70%), memory loss (61%), and chronic fatigue (59%). CONCLUSIONS This large study reveals that AYAC survivors, on average 9 years after their cancer diagnosis, require more frequent follow-up care for neurological complications compared to non-cancer individuals. However, the management of neuropathy, memory loss, and chronic fatigue is hindered by a lack of mechanism-based effective therapies.
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Park HL, Ziogas A, Feig SA, Kirmizi RL, Lee CJ, Alvarez A, Lucia RM, Goodman D, Larsen KM, Kelly R, Anton-Culver H. Factors Associated with Longitudinal Changes in Mammographic Density in a Multiethnic Breast Screening Cohort of Postmenopausal Women. Breast J 2023; 2023:2794603. [PMID: 37881237 PMCID: PMC10597735 DOI: 10.1155/2023/2794603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 07/19/2023] [Accepted: 10/04/2023] [Indexed: 10/27/2023]
Abstract
Background Breast density is an important risk factor for breast cancer and is known to be associated with characteristics such as age, race, and hormone levels; however, it is unclear what factors contribute to changes in breast density in postmenopausal women over time. Understanding factors associated with density changes may enable a better understanding of breast cancer risk and facilitate potential strategies for prevention. Methods This study investigated potential associations between personal factors and changes in mammographic density in a cohort of 3,392 postmenopausal women with no personal history of breast cancer between 2011 and 2017. Self-reported information on demographics, breast and reproductive history, and lifestyle factors, including body mass index (BMI), alcohol intake, smoking, and physical activity, was collected by an electronic intake form, and breast imaging reporting and database system (BI-RADS) mammographic density scores were obtained from electronic medical records. Factors associated with a longitudinal increase or decrease in mammographic density were identified using Fisher's exact test and multivariate conditional logistic regression. Results 7.9% of women exhibited a longitudinal decrease in mammographic density, 6.7% exhibited an increase, and 85.4% exhibited no change. Longitudinal changes in mammographic density were correlated with age, race/ethnicity, and age at menopause in the univariate analysis. In the multivariate analysis, Asian women were more likely to exhibit a longitudinal increase in mammographic density and less likely to exhibit a decrease compared to White women. On the other hand, obese women were less likely to exhibit an increase and more likely to exhibit a decrease compared to normal weight women. Women who underwent menopause at age 55 years or older were less likely to exhibit a decrease in mammographic density compared to women who underwent menopause at a younger age. Besides obesity, lifestyle factors (alcohol intake, smoking, and physical activity) were not associated with longitudinal changes in mammographic density. Conclusions The associations we observed between Asian race/obesity and longitudinal changes in BI-RADS density in postmenopausal women are paradoxical in that breast cancer risk is lower in Asian women and higher in obese women. However, the association between later age at menopause and a decreased likelihood of decreasing in BI-RADS density over time is consistent with later age at menopause being a risk factor for breast cancer and suggests a potential relationship between greater cumulative lifetime estrogen exposure and relative stability in breast density after menopause. Our findings support the complexity of the relationships between breast density, BMI, hormone exposure, and breast cancer risk.
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Post RJ, Chang J, Ziogas A, Crosland BA, Silver RM, Haas DM, Grobman WA, Saade GR, Reddy UM, Simhan H, Chung JH. Risk factors and perinatal outcomes for persistent placenta previa in nulliparas. Am J Obstet Gynecol MFM 2023; 5:101136. [PMID: 37598887 DOI: 10.1016/j.ajogmf.2023.101136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 08/06/2023] [Accepted: 08/15/2023] [Indexed: 08/22/2023]
Abstract
BACKGROUND Placenta previa diagnosed on midtrimester ultrasound often resolves by the third trimester. Multiparity and previous cesarean delivery have been associated with persistence of placenta previa at delivery. Risk factors for persistent placenta previa in nulliparas are not well characterized. OBJECTIVE This study aimed to identify risk factors for persistent placenta previa in the nulliparous population, and evaluate differences in outcomes between persistent and resolved placenta previa. STUDY DESIGN This was a secondary analysis of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-to-be (nuMoM2b), a prospective cohort study that observed 10,037 nulliparous individuals throughout pregnancy. Nulliparas diagnosed with placenta previa on midtrimester ultrasound were included in this analysis. Baseline characteristics and delivery outcomes of nulliparas with persistent placenta previa were compared with those of nulliparas with resolved placenta previa. Multivariate logistic regression with stepwise model selection was used for adjusted analyses. RESULTS A total of 171 nulliparas (1.7%) in the nuMoM2b study were diagnosed with placenta previa on midtrimester ultrasound, of whom 17% (n=29) had persistent placenta previa at delivery. When compared with those with resolved placenta previa, nulliparas with persistent placenta previa were more likely to be older (median, 32 years [interquartile range, 30-37] vs 29 years [interquartile range, 25-31]; P<.01), have a previous pregnancy of <20 weeks (48.3% vs 22.5%; P=.01), have a previous dilation and curettage/evacuation procedure (27.6% vs 10.6%; P=.03), or have a pregnancy that resulted from assisted reproductive technology (31% vs 4.9%; P=.01). After adjusting for potential confounders, maternal age (adjusted odds ratio, 1.11; 95% confidence interval, 1.02-1.21), in vitro fertilization (adjusted odds ratio, 9.00; 95% confidence interval, 1.97-41.14), and previous pregnancy of <20 weeks (adjusted odds ratio, 2.77; 95% confidence interval, 1.10-6.95) remained statistically significant risk factors for persistent placenta previa. Persistent placenta previa was also associated with higher likelihood of antepartum admission (10.3% vs 0%; P<.01), preterm delivery (34.5% vs 12%; P<.01), lower neonatal birthweight (median, 2847 g [interquartile range, 2655-3310] vs 3263 g [interquartile range, 2855-3560]), and cesarean delivery (100% vs 20.4%; P<.001), but there were no differences in overall pregnancy or neonatal outcomes. CONCLUSION In nulliparous individuals diagnosed with placenta previa on midtrimester ultrasound, older maternal age, previous pregnancy of <20 weeks, and in vitro fertilization are associated with persistent placenta previa at delivery.
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Del Rosario M, Chang J, Ziogas A, Clair K, Bristow RE, Tanjasiri SP, Zell JA. Differential Effects of Race, Socioeconomic Status, and Insurance on Disease-Specific Survival in Rectal Cancer. Dis Colon Rectum 2023; 66:1263-1272. [PMID: 35849491 PMCID: PMC10548716 DOI: 10.1097/dcr.0000000000002341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
BACKGROUND National Comprehensive Cancer Network guideline adherence improves cancer outcomes. In rectal cancer, guideline adherence is distributed differently by race/ethnicity, socioeconomic status, and insurance. OBJECTIVE This study aimed to determine the independent effects of race/ethnicity, socioeconomic status, and insurance status on rectal cancer survival after accounting for differences in guideline adherence. DESIGN This was a retrospective study. SETTINGS The study was conducted using the California Cancer Registry. PATIENTS This study included patients aged 18 to 79 years diagnosed with rectal adenocarcinoma between January 1, 2004, and December 31, 2017, with follow-up through November 30, 2018. Investigators determined whether patients received guideline-adherent care. MAIN OUTCOME MEASURES ORs and 95% CIs were used for logistic regression to analyze patients receiving guideline-adherent care. Disease-specific survival analysis was calculated using Cox regression models. RESULTS A total of 30,118 patients were examined. Factors associated with higher odds of guideline adherence included Asian and Hispanic race/ethnicity, managed care insurance, and high socioeconomic status. Asians (HR, 0.80; 95% CI, 0.72-0.88; p < 0.001) and Hispanics (HR, 0.91; 95% CI, 0.83-0.99; p = 0.0279) had better disease-specific survival in the nonadherent group. Race/ethnicity were not factors associated with disease-specific survival in the guideline adherent group. Medicaid disease-specific survival was worse in both the nonadherent group (HR, 1.56; 95% CI, 1.40-1.73; p < 0.0001) and the guideline-adherent group (HR, 1.18; 95% CI, 1.08-1.30; p = 0.0005). Disease-specific survival of the lowest socioeconomic status was worse in both the nonadherent group (HR, 1.42; 95% CI, 1.27-1.59) and the guideline-adherent group (HR, 1.20; 95% CI, 1.08-1.34). LIMITATIONS Limitations included unmeasured confounders and the retrospective nature of the review. CONCLUSIONS Race, socioeconomic status, and insurance are associated with guideline adherence in rectal cancer. Race/ethnicity was not associated with differences in disease-specific survival in the guideline-adherent group. Medicaid and lowest socioeconomic status had worse disease-specific survival in both the guideline nonadherent group and the guideline-adherent group. See Video Abstract at http://links.lww.com/DCR/B954 . EFECTOS DIFERENCIALES DE LA RAZA, EL NIVEL SOCIOECONMICO COBERTURA SOBRE LA SUPERVIVENCIA ESPECFICA DE LA ENFERMEDAD EN EL CNCER DE RECTO ANTECEDENTES: El cumplimiento de las guías de la National Comprehensive Cancer Network mejora los resultados del cáncer. En el cáncer de recto, el cumplimiento de las guías se distribuye de manera diferente según la raza/origen étnico, nivel socioeconómico y el cobertura médica.OBJETIVO: Determinar los efectos independientes de la raza/origen étnico, el nivel socioeconómico y el estado de cobertura médica en la supervivencia del cáncer de recto después de tener en cuenta las diferencias en el cumplimiento de las guías.DISEÑO: Este fue un estudio retrospectivo.ENTORNO CLINICO: El estudio se realizó utilizando el Registro de Cáncer de California.PACIENTES: Pacientes de 18 a 79 años diagnosticados con adenocarcinoma rectal entre el 1 de enero de 2004 y el 31 de diciembre de 2017 con seguimiento hasta el 30 de noviembre de 2018. Los investigadores determinaron si los pacientes recibieron atención siguiendo las guías.PRINCIPALES MEDIDAS DE RESULTADO: Se utilizaron razones de probabilidad e intervalos de confianza del 95 % para la regresión logística para analizar a los pacientes que recibían atención con adherencia a las guías. El análisis de supervivencia específico de la enfermedad se calculó utilizando modelos de regresión de Cox.RESULTADOS: Se analizaron un total de 30.118 pacientes. Los factores asociados con mayores probabilidades de cumplimiento de las guías incluyeron raza/etnicidad asiática e hispana, seguro de atención administrada y nivel socioeconómico alto. Los asiáticos e hispanos tuvieron una mejor supervivencia específica de la enfermedad en el grupo no adherente HR 0,80 (95 % CI 0,72 - 0,88, p < 0,001) y HR 0,91 (95 % CI 0,83 - 0,99, p = 0,0279). La raza o el origen étnico no fueron factores asociados con la supervivencia específica de la enfermedad en el grupo que cumplió con las guías. La supervivencia específica de la enfermedad de Medicaid fue peor tanto en el grupo no adherente HR 1,56 (IC del 95 % 1,40 - 1,73, p < 0,0001) como en el grupo adherente a las guías HR 1,18 (IC del 95 % 1,08 - 1,30, p = 0,0005). La supervivencia específica de la enfermedad del nivel socioeconómico más bajo fue peor tanto en el grupo no adherente HR 1,42 (IC del 95 %: 1,27 a 1,59) como en el grupo adherente a las guías HR 1,20 (IC del 95 %: 1,08 a 1,34).LIMITACIONES: Las limitaciones incluyeron factores de confusión no medidos y la naturaleza retrospectiva de la revisión.CONCLUSIONES: La raza, el nivel socioeconómico y cobertura médica están asociados con la adherencia a las guías en el cáncer de recto. La raza/etnicidad no se asoció con diferencias en la supervivencia específica de la enfermedad en el grupo que cumplió con las guías. Medicaid y el nivel socioeconómico más bajo tuvieron peor supervivencia específica de la enfermedad tanto en el grupo que no cumplió con las guías como en los grupos que cumplieron. Consulte Video Resumen en http://links.lww.com/DCR/B954 . (Traducción- Dr. Francisco M. Abarca-Rendon).
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Middha P, Wang X, Behrens S, Bolla MK, Wang Q, Dennis J, Michailidou K, Ahearn TU, Andrulis IL, Anton-Culver H, Arndt V, Aronson KJ, Auer PL, Augustinsson A, Baert T, Freeman LEB, Becher H, Beckmann MW, Benitez J, Bojesen SE, Brauch H, Brenner H, Brooks-Wilson A, Campa D, Canzian F, Carracedo A, Castelao JE, Chanock SJ, Chenevix-Trench G, Cordina-Duverger E, Couch FJ, Cox A, Cross SS, Czene K, Dossus L, Dugué PA, Eliassen AH, Eriksson M, Evans DG, Fasching PA, Figueroa JD, Fletcher O, Flyger H, Gabrielson M, Gago-Dominguez M, Giles GG, González-Neira A, Grassmann F, Grundy A, Guénel P, Haiman CA, Håkansson N, Hall P, Hamann U, Hankinson SE, Harkness EF, Holleczek B, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Ingvar C, Isaksson K, Jernström H, John EM, Jones ME, Kaaks R, Keeman R, Kitahara CM, Ko YD, Koutros S, Kurian AW, Lacey JV, Lambrechts D, Larson NL, Larsson S, Le Marchand L, Lejbkowicz F, Li S, Linet M, Lissowska J, Martinez ME, Maurer T, Mulligan AM, Mulot C, Murphy RA, Newman WG, Nielsen SF, Nordestgaard BG, Norman A, O'Brien KM, Olson JE, Patel AV, Prentice R, Rees-Punia E, Rennert G, Rhenius V, Ruddy KJ, Sandler DP, Scott CG, Shah M, Shu XO, Smeets A, Southey MC, Stone J, Tamimi RM, Taylor JA, Teras LR, Tomczyk K, Troester MA, Truong T, Vachon CM, Wang SS, Weinberg CR, Wildiers H, Willett W, Winham SJ, Wolk A, Yang XR, Zamora MP, Zheng W, Ziogas A, Dunning AM, Pharoah PDP, García-Closas M, Schmidt MK, Kraft P, Milne RL, Lindström S, Easton DF, Chang-Claude J. A genome-wide gene-environment interaction study of breast cancer risk for women of European ancestry. Breast Cancer Res 2023; 25:93. [PMID: 37559094 PMCID: PMC10411002 DOI: 10.1186/s13058-023-01691-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 07/27/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Genome-wide studies of gene-environment interactions (G×E) may identify variants associated with disease risk in conjunction with lifestyle/environmental exposures. We conducted a genome-wide G×E analysis of ~ 7.6 million common variants and seven lifestyle/environmental risk factors for breast cancer risk overall and for estrogen receptor positive (ER +) breast cancer. METHODS Analyses were conducted using 72,285 breast cancer cases and 80,354 controls of European ancestry from the Breast Cancer Association Consortium. Gene-environment interactions were evaluated using standard unconditional logistic regression models and likelihood ratio tests for breast cancer risk overall and for ER + breast cancer. Bayesian False Discovery Probability was employed to assess the noteworthiness of each SNP-risk factor pairs. RESULTS Assuming a 1 × 10-5 prior probability of a true association for each SNP-risk factor pairs and a Bayesian False Discovery Probability < 15%, we identified two independent SNP-risk factor pairs: rs80018847(9p13)-LINGO2 and adult height in association with overall breast cancer risk (ORint = 0.94, 95% CI 0.92-0.96), and rs4770552(13q12)-SPATA13 and age at menarche for ER + breast cancer risk (ORint = 0.91, 95% CI 0.88-0.94). CONCLUSIONS Overall, the contribution of G×E interactions to the heritability of breast cancer is very small. At the population level, multiplicative G×E interactions do not make an important contribution to risk prediction in breast cancer.
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Morra A, Schreurs MAC, Andrulis IL, Anton‐Culver H, Augustinsson A, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brauch H, Broeks A, Buys SS, Camp NJ, Castelao JE, Cessna MH, Chang‐Claude J, Chung WK, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Devilee P, Dörk T, Dunning AM, Dwek M, Easton DF, Eccles DM, Eriksson M, Evans DG, Fasching PA, Fehm TN, Figueroa JD, Flyger H, Gabrielson M, Gago‐Dominguez M, García‐Closas M, García‐Sáenz JA, Genkinger J, Grassmann F, Gündert M, Hahnen E, Haiman CA, Hamann U, Harrington PA, Hartikainen JM, Hoppe R, Hopper JL, Houlston RS, Howell A, Jakubowska A, Janni W, Jernström H, John EM, Johnson N, Jones ME, Kristensen VN, Kurian AW, Lambrechts D, Le Marchand L, Lindblom A, Lubiński J, Lux MP, Mannermaa A, Mavroudis D, Mulligan AM, Muranen TA, Nevanlinna H, Nevelsteen I, Neven P, Newman WG, Obi N, Offit K, Olshan AF, Park‐Simon T, Patel AV, Peterlongo P, Phillips K, Plaseska‐Karanfilska D, Polley EC, Presneau N, Pylkäs K, Rack B, Radice P, Rashid MU, Rhenius V, Robson M, Romero A, Saloustros E, Sawyer EJ, Schmutzler RK, Schuetze S, Scott C, Shah M, Smichkoska S, Southey MC, Tapper WJ, Teras LR, Tollenaar RAEM, Tomczyk K, Tomlinson I, Troester MA, Vachon CM, van Veen EM, Wang Q, Wendt C, Wildiers H, Winqvist R, Ziogas A, Hall P, Pharoah PDP, Adank MA, Hollestelle A, Schmidt MK, Hooning MJ. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival. Cancer Med 2023; 12:16142-16162. [PMID: 37401034 PMCID: PMC10469654 DOI: 10.1002/cam4.6272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 04/30/2023] [Accepted: 06/03/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. AIM To assessed the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. METHODS Analyses were based on 82,701 women diagnosed with a first primary invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations with treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. RESULTS There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status. The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR (95% CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR (95% CI): 1.30 (1.09-1.56)]. CONCLUSION Systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk.
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Lucia RM, Liao X, Huang WL, Forman D, Kim A, Ziogas A, Norden-Krichmar TM, Goodman D, Alvarez A, Masunaka I, Pathak KV, McGilvrey M, Hegde AM, Pirrotte P, Park HL. Urinary glyphosate and AMPA levels in a cross-sectional study of postmenopausal women: Associations with organic eating behavior and dietary intake. Int J Hyg Environ Health 2023; 252:114211. [PMID: 37393842 PMCID: PMC10503538 DOI: 10.1016/j.ijheh.2023.114211] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 06/08/2023] [Accepted: 06/16/2023] [Indexed: 07/04/2023]
Abstract
Animal and epidemiologic studies suggest that there may be adverse health effects from exposure to glyphosate, the most highly used pesticide in the world, and its metabolite aminomethylphosphonic acid (AMPA). Meanwhile, consumption of organic foods (presumably grown free of chemical pesticides) has increased in recent years. However, there have been limited biomonitoring studies assessing the levels of human glyphosate and AMPA exposure in the United States. We examined urinary levels of glyphosate and AMPA in the context of organic eating behavior in a cohort of healthy postmenopausal women residing in Southern California and evaluated associations with demographics, dietary intake, and other lifestyle factors. 338 women provided two first-morning urine samples and at least one paired 24-h dietary recall reporting the previous day's dietary intake. Urinary glyphosate and AMPA were measured using LC-MS/MS. Participants reported on demographic and lifestyle factors via questionnaires. Potential associations were examined between these factors and urinary glyphosate and AMPA concentrations. Glyphosate was detected in 89.9% of urine samples and AMPA in 67.2%. 37.9% of study participants reported often or always eating organic food, 30.2% sometimes, and 32.0% seldom or never. Frequency of organic food consumption was associated with several demographic and lifestyle factors. Frequent organic eaters had significantly lower urinary glyphosate and AMPA levels, but not after adjustment for covariates. Grain consumption was significantly associated with higher urinary glyphosate levels, even among women who reported often or always eating organic grains. Soy protein and alcohol consumption as well as high frequency of eating fast food were associated with higher urinary AMPA levels. In conclusion, in the largest study to date examining paired dietary recall data and measurements of first-void urinary glyphosate and AMPA, the vast majority of subjects sampled had detectable levels, and significant dietary sources in the American diet were identified.
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Zaki TA, Ziogas A, Chang J, Murphy CC, Anton-Culver H. Survival of Middle Eastern and North African Individuals Diagnosed with Colorectal Cancer: A Population-Based Study in California. Cancer Epidemiol Biomarkers Prev 2023; 32:795-801. [PMID: 37012208 DOI: 10.1158/1055-9965.epi-22-1326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/27/2023] [Accepted: 03/29/2023] [Indexed: 04/05/2023] Open
Abstract
BACKGROUND Literature on colorectal cancer outcomes in individuals of Middle Eastern and North African (MENA) descent is limited. To address this gap, we estimated five-year colorectal cancer-specific survival by race and ethnicity, including MENA individuals, in a diverse, population-based sample in California. METHODS We identified adults (ages 18-79 years) diagnosed with a first or only colorectal cancer in 2004 to 2017 using the California Cancer Registry (CCR), including non-Hispanic White, non-Hispanic Black, non-Hispanic Asian, Hispanic, and MENA individuals. For each racial/ethnic group, we calculated five-year colorectal cancer-specific survival and used Cox proportional hazards regression models to examine the association of race/ethnicity and survival, adjusting for clinical and socio demographic factors. RESULTS Of 110,192 persons diagnosed with colorectal cancer, five-year colorectal cancer-specific survival was lowest in Black (61.0%) and highest in MENA (73.2%) individuals. Asian (72.2%) individuals had higher survival than White (70.0%) and Hispanic (68.2%) individuals. In adjusted analysis, MENA [adjusted HR (aHR), 0.82; 95% confidence interval (CI), 0.76-0.89], Asian (aHR, 0.86; 95% CI, 0.83-0.90), and Hispanic (aHR, 0.94; 95% CI, 0.91-0.97) race/ethnicity were associated with higher, and Black (aHR, 1.13; 95% CI, 1.09-1.18) race/ethnicity was associated with lower survival compared with non-Hispanic White race/ethnicity. CONCLUSIONS To our knowledge, this is the first study to report colorectal cancer survival in MENA individuals in the United States. We observed higher survival of MENA individuals compared with other racial/ethnic groups, adjusting for sociodemographic and clinical factors. IMPACT Future studies are needed to identify factors contributing to cancer outcomes in this unique population.
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Fu Z, Brooks MM, Irvin S, Jordan S, Aben KKH, Anton-Culver H, Bandera EV, Beckmann MW, Berchuck A, Brooks-Wilson A, Chang-Claude J, Cook LS, Cramer DW, Cushing-Haugen KL, Doherty JA, Ekici AB, Fasching PA, Fortner RT, Gayther SA, Gentry-Maharaj A, Giles GG, Goode EL, Goodman MT, Harris HR, Hein A, Kaaks R, Kiemeney LA, Köbel M, Kotsopoulos J, Le ND, Lee AW, Matsuo K, McGuire V, McLaughlin JR, Menon U, Milne RL, Moysich KB, Pearce CL, Pike MC, Qin B, Ramus SJ, Riggan MJ, Rothstein JH, Schildkraut JM, Sieh W, Sutphen R, Terry KL, Thompson PJ, Titus L, van Altena AM, White E, Whittemore AS, Wu AH, Zheng W, Ziogas A, Taylor SE, Tang L, Songer T, Wentzensen N, Webb PM, Risch HA, Modugno F. Lifetime ovulatory years and risk of epithelial ovarian cancer: a multinational pooled analysis. J Natl Cancer Inst 2023; 115:539-551. [PMID: 36688720 PMCID: PMC10165492 DOI: 10.1093/jnci/djad011] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 11/10/2022] [Accepted: 01/06/2023] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND The role of ovulation in epithelial ovarian cancer (EOC) is supported by the consistent protective effects of parity and oral contraceptive use. Whether these factors protect through anovulation alone remains unclear. We explored the association between lifetime ovulatory years (LOY) and EOC. METHODS LOY was calculated using 12 algorithms. Odds ratios (ORs) and 95% confidence intervals (CIs) estimated the association between LOY or LOY components and EOC among 26 204 control participants and 21 267 case patients from 25 studies. To assess whether LOY components act through ovulation suppression alone, we compared beta coefficients obtained from regression models with expected estimates assuming 1 year of ovulation suppression has the same effect regardless of source. RESULTS LOY was associated with increased EOC risk (OR per year increase = 1.014, 95% CI = 1.009 to 1.020 to OR per year increase = 1.044, 95% CI = 1.041 to 1.048). Individual LOY components, except age at menarche, also associated with EOC. The estimated model coefficient for oral contraceptive use and pregnancies were 4.45 times and 12- to 15-fold greater than expected, respectively. LOY was associated with high-grade serous, low-grade serous, endometrioid, and clear cell histotypes (ORs per year increase = 1.054, 1.040, 1.065, and 1.098, respectively) but not mucinous tumors. Estimated coefficients of LOY components were close to expected estimates for high-grade serous but larger than expected for low-grade serous, endometrioid, and clear cell histotypes. CONCLUSIONS LOY is positively associated with nonmucinous EOC. Differences between estimated and expected model coefficients for LOY components suggest factors beyond ovulation underlie the associations between LOY components and EOC in general and for non-HGSOC.
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May T, Bernardini M, Lheureux S, Aben KKH, Bandera EV, Beckmann MW, Benitez J, Berchuck A, Bjørge L, Carney ME, Cramer DW, deFazio A, Dörk T, Eccles DM, Friedlander M, García MJ, Goode EL, Hein A, Høgdall CK, Jensen A, Johnatty S, Kennedy CJ, Kiemeney LA, Kjær SK, Kupryjańczyk J, Matsuo K, McGuire V, Modugno F, Paddock LE, Pejovic T, Phelan CM, Riggan MJ, Rodriguez-Antona C, Rothstein JH, Sieh W, Song H, Terry KL, van Altena AM, Vanderstichele A, Vergote I, Thomsen LCV, Webb PM, Wentzensen N, Wilkens LR, Ziogas A, Jiang H, Tone A. Clinical parameters affecting survival outcomes in patients with low-grade serous ovarian carcinoma: an international multicentre analysis. Can J Surg 2023; 66:E310-E320. [PMID: 37369443 PMCID: PMC10310341 DOI: 10.1503/cjs.017020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/25/2021] [Indexed: 06/29/2023] Open
Abstract
BACKGROUND Women with low-grade ovarian serous carcinoma (LGSC) benefit from surgical treatment; however, the role of chemotherapy is controversial. We examined an international database through the Ovarian Cancer Association Consortium to identify factors that affect survival in LGSC. METHODS We performed a retrospective cohort analysis of patients with LGSC who had had primary surgery and had overall survival data available. We performed univariate and multivariate analyses of progression-free survival and overall survival, and generated Kaplan-Meier survival curves. RESULTS Of the 707 patients with LGSC, 680 (96.2%) had available overall survival data. The patients' median age overall was 54 years. Of the 659 patients with International Federation of Obstetrics and Gynecology stage data, 156 (23.7%) had stage I disease, 64 (9.7%) had stage II, 395 (59.9%) had stage III, and 44 (6.7%) had stage IV. Of the 377 patients with surgical data, 200 (53.0%) had no visible residual disease. Of the 361 patients with chemotherapy data, 330 (91.4%) received first-line platinum-based chemotherapy. The median follow-up duration was 5.0 years. The median progression-free survival and overall survival were 43.2 months and 110.4 months, respectively. Multivariate analysis indicated a statistically significant impact of stage and residual disease on progression-free survival and overall survival. Platinum-based chemotherapy was not associated with a survival advantage. CONCLUSION This multicentre analysis indicates that complete surgical cytoreduction to no visible residual disease has the most impact on improved survival in LGSC. This finding could immediately inform and change practice.
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Yadav S, Boddicker NJ, Na J, Polley EC, Hu C, Hart SN, Gnanaolivu RD, Larson N, Holtegaard S, Huang H, Dunn CA, Teras LR, Patel AV, Lacey JV, Neuhausen SL, Martinez E, Haiman C, Chen F, Ruddy KJ, Olson JE, John EM, Kurian AW, Sandler DP, O'Brien KM, Taylor JA, Weinberg CR, Anton-Culver H, Ziogas A, Zirpoli G, Goldgar DE, Palmer JR, Domchek SM, Weitzel JN, Nathanson KL, Kraft P, Couch FJ. Contralateral Breast Cancer Risk Among Carriers of Germline Pathogenic Variants in ATM, BRCA1, BRCA2, CHEK2, and PALB2. J Clin Oncol 2023; 41:1703-1713. [PMID: 36623243 PMCID: PMC10022863 DOI: 10.1200/jco.22.01239] [Citation(s) in RCA: 30] [Impact Index Per Article: 30.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2022] [Revised: 10/03/2022] [Accepted: 11/21/2022] [Indexed: 01/11/2023] Open
Abstract
PURPOSE To estimate the risk of contralateral breast cancer (CBC) among women with germline pathogenic variants (PVs) in ATM, BRCA1, BRCA2, CHEK2, and PALB2. METHODS The study population included 15,104 prospectively followed women within the CARRIERS study treated with ipsilateral surgery for invasive breast cancer. The risk of CBC was estimated for PV carriers in each gene compared with women without PVs in a multivariate proportional hazard regression analysis accounting for the competing risk of death and adjusting for patient and tumor characteristics. The primary analyses focused on the overall cohort and on women from the general population. Secondary analyses examined associations by race/ethnicity, age at primary breast cancer diagnosis, menopausal status, and tumor estrogen receptor (ER) status. RESULTS Germline BRCA1, BRCA2, and CHEK2 PV carriers with breast cancer were at significantly elevated risk (hazard ratio > 1.9) of CBC, whereas only the PALB2 PV carriers with ER-negative breast cancer had elevated risks (hazard ratio, 2.9). By contrast, ATM PV carriers did not have significantly increased CBC risks. African American PV carriers had similarly elevated risks of CBC as non-Hispanic White PV carriers. Among premenopausal women, the 10-year cumulative incidence of CBC was estimated to be 33% for BRCA1, 27% for BRCA2, and 13% for CHEK2 PV carriers with breast cancer and 35% for PALB2 PV carriers with ER-negative breast cancer. The 10-year cumulative incidence of CBC among postmenopausal PV carriers was 12% for BRCA1, 9% for BRCA2, and 4% for CHEK2. CONCLUSION Women diagnosed with breast cancer and known to carry germline PVs in BRCA1, BRCA2, CHEK2, or PALB2 are at substantially increased risk of CBC and may benefit from enhanced surveillance and risk reduction strategies.
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Kumar P, Del Rosario M, Chang J, Ziogas A, Jafari MD, Bristow RE, Tanjasiri SP, Zell JA. Population-Based Analysis of National Comprehensive Cancer Network (NCCN) Guideline Adherence for Patients with Anal Squamous Cell Carcinoma in California. Cancers (Basel) 2023; 15:cancers15051465. [PMID: 36900256 PMCID: PMC10000877 DOI: 10.3390/cancers15051465] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 02/17/2023] [Accepted: 02/20/2023] [Indexed: 03/02/2023] Open
Abstract
PURPOSE We analyzed adherence to the National Comprehensive Cancer Network treatment guidelines for anal squamous cell carcinoma in California and the associated impacts on survival. METHODS This was a retrospective study of patients in the California Cancer Registry aged 18 to 79 years with recent diagnoses of anal squamous cell carcinoma. Predefined criteria were used to determine adherence. Adjusted odds ratios and 95% confidence intervals were estimated for those receiving adherent care. Disease-specific survival (DSS) and overall survival (OS) were examined with a Cox proportional hazards model. RESULTS 4740 patients were analyzed. Female sex was positively associated with adherent care. Medicaid status and low socioeconomic status were negatively associated with adherent care. Non-adherent care was associated with worse OS (Adjusted HR 1.87, 95% CI = 1.66, 2.12, p < 0.0001). DSS was worse in patients receiving non-adherent care (Adjusted HR 1.96, 95% CI = 1.56, 2.46, p < 0.0001). Female sex was associated with improved DSS and OS. Black race, Medicare/Medicaid, and low socioeconomic status were associated with worse OS. CONCLUSIONS Male patients, those with Medicaid insurance, or those with low socioeconomic status are less likely to receive adherent care. Adherent care was associated with improved DSS and OS in anal carcinoma patients.
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Morra A, Schreurs MAC, Andrulis IL, Anton-Culver H, Augustinsson A, Beckmann MW, Behrens S, Bojesen SE, Bolla MK, Brauch H, Broeks A, Buys SS, Camp NJ, Castelao JE, Cessna MH, Chang-Claude J, Chung WK, Collaborators N, Colonna SV, Couch FJ, Cox A, Cross SS, Czene K, Daly MB, Dennis J, Devilee P, Dörk T, Dunning AM, Dwek M, Easton DF, Eccles DM, Eriksson M, Evans DG, Fasching PA, Fehm TN, Figueroa JD, Flyger H, Gabrielson M, Gago-Dominguez M, García-Closas M, García-Sáenz JA, Genkinger J, Grassmann F, Gündert M, Hahnen E, Haiman CA, Hamann U, Harrington PA, Hartikainen JM, Hoppe R, Hopper JL, Houlston RS, Howell A, Investigators A, Investigators KC, Jakubowska A, Janni W, Jernström H, John EM, Johnson N, Jones ME, Kristensen VN, Kurian AW, Lambrechts D, Marchand LL, Lindblom A, Lubiński J, Lux MP, Mannermaa A, Mavroudis D, Mulligan AM, Muranen TA, Nevanlinna H, Nevelsteen I, Neven P, Newman WG, Obi N, Offit K, Olshan AF, Park-Simon TW, Patel AV, Peterlongo P, Phillips KA, Plaseska-Karanfilska D, Polley EC, Presneau N, Pylkäs K, Rack B, Radice P, Rashid MU, Rhenius V, Robson M, Romero A, Saloustros E, Sawyer EJ, Schmutzler RK, Schuetze S, Scott C, Shah M, Smichkoska S, Southey MC, Tapper WJ, Teras LR, Tollenaar RAEM, Tomczyk K, Tomlinson I, Troester MA, Vachon CM, van Veen EM, Wang Q, Wendt C, Wildiers H, Winqvist R, Ziogas A, Hall P, Pharoah PDP, Adank MA, Hollestelle A, Schmidt MK, Hooning MJ. Association of the CHEK2 c.1100delC variant, radiotherapy, and systemic treatment with contralateral breast cancer risk and breast cancer-specific survival. RESEARCH SQUARE 2023:rs.3.rs-2569372. [PMID: 36824750 PMCID: PMC9949248 DOI: 10.21203/rs.3.rs-2569372/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
Breast cancer (BC) patients with a germline CHEK2 c.1100delC variant have an increased risk of contralateral BC (CBC) and worse BC-specific survival (BCSS) compared to non-carriers. We aimed to assess the associations of CHEK2 c.1100delC, radiotherapy, and systemic treatment with CBC risk and BCSS. Analyses were based on 82,701 women diagnosed with invasive BC including 963 CHEK2 c.1100delC carriers; median follow-up was 9.1 years. Differential associations of treatment by CHEK2 c.1100delC status were tested by including interaction terms in a multivariable Cox regression model. A multi-state model was used for further insight into the relation between CHEK2 c.1100delC status, treatment, CBC risk and death. There was no evidence for differential associations of therapy with CBC risk by CHEK2 c.1100delC status The strongest association with reduced CBC risk was observed for the combination of chemotherapy and endocrine therapy [HR(95%CI): 0.66 (0.55-0.78)]. No association was observed with radiotherapy. Results from the multi-state model showed shorter BCSS for CHEK2 c.1100delC carriers versus non-carriers also after accounting for CBC occurrence [HR(95%CI) :1.30 (1.09-1.56)]. In conclusion, systemic therapy was associated with reduced CBC risk irrespective of CHEK2 c.1100delC status. Moreover, CHEK2 c.1100delC carriers had shorter BCSS, which appears not to be fully explained by their CBC risk. (Main MS: 3201 words).
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Hurwitz LM, Webb PM, Jordan SJ, Doherty JA, Harris HR, Goodman MT, Shvetsov YB, Modugno F, Moysich KB, Schildkraut JM, Berchuck A, Anton-Culver H, Ziogas A, Menon U, Ramus SJ, Wu AH, Pearce CL, Wentzensen N, Tworoger SS, Pharoah PDP, Trabert B. Association of Frequent Aspirin Use With Ovarian Cancer Risk According to Genetic Susceptibility. JAMA Netw Open 2023; 6:e230666. [PMID: 36826816 PMCID: PMC9958519 DOI: 10.1001/jamanetworkopen.2023.0666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 12/20/2022] [Indexed: 02/25/2023] Open
Abstract
Importance Frequent aspirin use is associated with reduced ovarian cancer risk, but it is unknown whether genetic factors modify this association. Understanding effect modifiers is important given that any use of aspirin for ovarian cancer chemoprevention will likely need to focus on specific higher-risk subgroups. Objective To evaluate whether the association between frequent aspirin use and ovarian cancer is modified by a polygenic score (PGS) for nonmucinous ovarian cancer. Design, Setting, and Participants We pooled individual-level data from 8 population-based case-control studies from the Ovarian Cancer Association Consortium conducted in the US, UK, and Australia between 1995 and 2009. We included case patients and control participants with both genetic data and data on frequent aspirin use. Case patients with mucinous ovarian cancer were excluded. Data were analyzed between November 1, 2021, and July 31, 2022. Exposures Frequent aspirin use, defined as daily or almost daily use for 6 months or longer. Main Outcomes and Measures The main outcome was nonmucinous epithelial ovarian cancer. We used logistic regression to estimate odds ratios (ORs) and 95% CIs and likelihood ratio tests to investigate effect modification by the PGS. Results There were 4476 case patients with nonmucinous ovarian cancer and 6659 control participants included in this analysis. At study enrollment, the median (IQR) age was 58 (50-66) years for case patients and 57 (49-65) years for control participants. Case patients and control participants self-reported that they were Black (122 [3%] vs 218 [3%]), White (3995 [89%] vs 5851 [88%]), or of other race and ethnicity (348 [8%] vs 580 [9%]; race and ethnicity were unknown for 11 [0%] vs 10 [0%]). There were 575 case patients (13%) and 1030 control participants (15%) who reported frequent aspirin use. The 13% reduction in ovarian cancer risk associated with frequent aspirin use (OR, 0.87 [95% CI, 0.76-0.99]) was not modified by the PGS. Consistent ORs were observed among individuals with a PGS less than (0.85 [0.70-1.02]) and greater than (0.86 [0.74-1.01]) the median. Results were similar by histotype. Conclusions and Relevance The findings of this study suggest that genetic susceptibility to ovarian cancer based on currently identified common genetic variants does not appear to modify the protective association between frequent aspirin use and ovarian cancer risk. Future work should continue to explore the role of aspirin use for ovarian cancer prevention among individuals who are at higher risk for ovarian cancer.
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Mueller SH, Lai AG, Valkovskaya M, Michailidou K, Bolla MK, Wang Q, Dennis J, Lush M, Abu-Ful Z, Ahearn TU, Andrulis IL, Anton-Culver H, Antonenkova NN, Arndt V, Aronson KJ, Augustinsson A, Baert T, Freeman LEB, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Blomqvist C, Bogdanova NV, Bojesen SE, Bonanni B, Brenner H, Brucker SY, Buys SS, Castelao JE, Chan TL, Chang-Claude J, Chanock SJ, Choi JY, Chung WK, Colonna SV, Cornelissen S, Couch FJ, Czene K, Daly MB, Devilee P, Dörk T, Dossus L, Dwek M, Eccles DM, Ekici AB, Eliassen AH, Engel C, Evans DG, Fasching PA, Fletcher O, Flyger H, Gago-Dominguez M, Gao YT, García-Closas M, García-Sáenz JA, Genkinger J, Gentry-Maharaj A, Grassmann F, Guénel P, Gündert M, Haeberle L, Hahnen E, Haiman CA, Håkansson N, Hall P, Harkness EF, Harrington PA, Hartikainen JM, Hartman M, Hein A, Ho WK, Hooning MJ, Hoppe R, Hopper JL, Houlston RS, Howell A, Hunter DJ, Huo D, Ito H, Iwasaki M, Jakubowska A, Janni W, John EM, Jones ME, Jung A, Kaaks R, Kang D, Khusnutdinova EK, Kim SW, Kitahara CM, Koutros S, Kraft P, Kristensen VN, Kubelka-Sabit K, Kurian AW, Kwong A, Lacey JV, Lambrechts D, Le Marchand L, Li J, Linet M, Lo WY, Long J, Lophatananon A, Mannermaa A, Manoochehri M, Margolin S, Matsuo K, Mavroudis D, Menon U, Muir K, Murphy RA, Nevanlinna H, Newman WG, Niederacher D, O'Brien KM, Obi N, Offit K, Olopade OI, Olshan AF, Olsson H, Park SK, Patel AV, Patel A, Perou CM, Peto J, Pharoah PDP, Plaseska-Karanfilska D, Presneau N, Rack B, Radice P, Ramachandran D, Rashid MU, Rennert G, Romero A, Ruddy KJ, Ruebner M, Saloustros E, Sandler DP, Sawyer EJ, Schmidt MK, Schmutzler RK, Schneider MO, Scott C, Shah M, Sharma P, Shen CY, Shu XO, Simard J, Surowy H, Tamimi RM, Tapper WJ, Taylor JA, Teo SH, Teras LR, Toland AE, Tollenaar RAEM, Torres D, Torres-Mejía G, Troester MA, Truong T, Vachon CM, Vijai J, Weinberg CR, Wendt C, Winqvist R, Wolk A, Wu AH, Yamaji T, Yang XR, Yu JC, Zheng W, Ziogas A, Ziv E, Dunning AM, Easton DF, Hemingway H, Hamann U, Kuchenbaecker KB. Aggregation tests identify new gene associations with breast cancer in populations with diverse ancestry. Genome Med 2023; 15:7. [PMID: 36703164 PMCID: PMC9878779 DOI: 10.1186/s13073-022-01152-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 12/16/2022] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Low-frequency variants play an important role in breast cancer (BC) susceptibility. Gene-based methods can increase power by combining multiple variants in the same gene and help identify target genes. METHODS We evaluated the potential of gene-based aggregation in the Breast Cancer Association Consortium cohorts including 83,471 cases and 59,199 controls. Low-frequency variants were aggregated for individual genes' coding and regulatory regions. Association results in European ancestry samples were compared to single-marker association results in the same cohort. Gene-based associations were also combined in meta-analysis across individuals with European, Asian, African, and Latin American and Hispanic ancestry. RESULTS In European ancestry samples, 14 genes were significantly associated (q < 0.05) with BC. Of those, two genes, FMNL3 (P = 6.11 × 10-6) and AC058822.1 (P = 1.47 × 10-4), represent new associations. High FMNL3 expression has previously been linked to poor prognosis in several other cancers. Meta-analysis of samples with diverse ancestry discovered further associations including established candidate genes ESR1 and CBLB. Furthermore, literature review and database query found further support for a biologically plausible link with cancer for genes CBLB, FMNL3, FGFR2, LSP1, MAP3K1, and SRGAP2C. CONCLUSIONS Using extended gene-based aggregation tests including coding and regulatory variation, we report identification of plausible target genes for previously identified single-marker associations with BC as well as the discovery of novel genes implicated in BC development. Including multi ancestral cohorts in this study enabled the identification of otherwise missed disease associations as ESR1 (P = 1.31 × 10-5), demonstrating the importance of diversifying study cohorts.
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Post RJ, Schmidt L, Crosland A, Chang J, Ziogas A, Silver BM, Parry S, Saade GR, Grobman WA, Mercer BM, Bernard C, Simhan H, Chung JH. Unintended pregnancy risk factors and perinatal outcomes in a nulliparous population. Am J Obstet Gynecol 2023. [DOI: 10.1016/j.ajog.2022.11.963] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
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Hurwitz LM, Townsend MK, Jordan SJ, Patel AV, Teras LR, Lacey JV, Doherty JA, Harris HR, Goodman MT, Shvetsov YB, Modugno F, Moysich KB, Robien K, Prizment A, Schildkraut JM, Berchuck A, Fortner RT, Chan AT, Wentzensen N, Hartge P, Sandler DP, O'Brien KM, Anton-Culver H, Ziogas A, Menon U, Ramus SJ, Pearce CL, Wu AH, White E, Peters U, Webb PM, Tworoger SS, Trabert B. Modification of the Association Between Frequent Aspirin Use and Ovarian Cancer Risk: A Meta-Analysis Using Individual-Level Data From Two Ovarian Cancer Consortia. J Clin Oncol 2022; 40:4207-4217. [PMID: 35867953 PMCID: PMC9916035 DOI: 10.1200/jco.21.01900] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 03/31/2022] [Accepted: 06/17/2022] [Indexed: 12/24/2022] Open
Abstract
PURPOSE Frequent aspirin use has been associated with reduced ovarian cancer risk, but no study has comprehensively assessed for effect modification. We leveraged harmonized, individual-level data from 17 studies to examine the association between frequent aspirin use and ovarian cancer risk, overall and across subgroups of women with other ovarian cancer risk factors. METHODS Nine cohort studies from the Ovarian Cancer Cohort Consortium (n = 2,600 cases) and eight case-control studies from the Ovarian Cancer Association Consortium (n = 5,726 cases) were included. We used Cox regression and logistic regression to assess study-specific associations between frequent aspirin use (≥ 6 days/week) and ovarian cancer risk and combined study-specific estimates using random-effects meta-analysis. We conducted analyses within subgroups defined by individual ovarian cancer risk factors (endometriosis, obesity, family history of breast/ovarian cancer, nulliparity, oral contraceptive use, and tubal ligation) and by number of risk factors (0, 1, and ≥ 2). RESULTS Overall, frequent aspirin use was associated with a 13% reduction in ovarian cancer risk (95% CI, 6 to 20), with no significant heterogeneity by study design (P = .48) or histotype (P = .60). Although no association was observed among women with endometriosis, consistent risk reductions were observed among all other subgroups defined by ovarian cancer risk factors (relative risks ranging from 0.79 to 0.93, all P-heterogeneity > .05), including women with ≥ 2 risk factors (relative risk, 0.81; 95% CI, 0.73 to 0.90). CONCLUSION This study, the largest to-date on aspirin use and ovarian cancer, provides evidence that frequent aspirin use is associated with lower ovarian cancer risk regardless of the presence of most other ovarian cancer risk factors. Risk reductions were also observed among women with multiple risk factors, providing proof of principle that chemoprevention programs with frequent aspirin use could target higher-risk subgroups.
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DeVries AA, Dennis J, Tyrer JP, Peng PC, Coetzee SG, Reyes AL, Plummer JT, Davis BD, Chen SS, Dezem FS, Aben KKH, Anton-Culver H, Antonenkova NN, Beckmann MW, Beeghly-Fadiel A, Berchuck A, Bogdanova NV, Bogdanova-Markov N, Brenton JD, Butzow R, Campbell I, Chang-Claude J, Chenevix-Trench G, Cook LS, DeFazio A, Doherty JA, Dörk T, Eccles DM, Eliassen AH, Fasching PA, Fortner RT, Giles GG, Goode EL, Goodman MT, Gronwald J, Håkansson N, Hildebrandt MAT, Huff C, Huntsman DG, Jensen A, Kar S, Karlan BY, Khusnutdinova EK, Kiemeney LA, Kjaer SK, Kupryjanczyk J, Labrie M, Lambrechts D, Le ND, Lubiński J, May T, Menon U, Milne RL, Modugno F, Monteiro AN, Moysich KB, Odunsi K, Olsson H, Pearce CL, Pejovic T, Ramus SJ, Riboli E, Riggan MJ, Romieu I, Sandler DP, Schildkraut JM, Setiawan VW, Sieh W, Song H, Sutphen R, Terry KL, Thompson PJ, Titus L, Tworoger SS, Van Nieuwenhuysen E, Edwards DV, Webb PM, Wentzensen N, Whittemore AS, Wolk A, Wu AH, Ziogas A, Freedman ML, Lawrenson K, Pharoah PDP, Easton DF, Gayther SA, Jones MR. Copy Number Variants Are Ovarian Cancer Risk Alleles at Known and Novel Risk Loci. J Natl Cancer Inst 2022; 114:1533-1544. [PMID: 36210504 PMCID: PMC9949586 DOI: 10.1093/jnci/djac160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/13/2022] [Accepted: 08/18/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Known risk alleles for epithelial ovarian cancer (EOC) account for approximately 40% of the heritability for EOC. Copy number variants (CNVs) have not been investigated as EOC risk alleles in a large population cohort. METHODS Single nucleotide polymorphism array data from 13 071 EOC cases and 17 306 controls of White European ancestry were used to identify CNVs associated with EOC risk using a rare admixture maximum likelihood test for gene burden and a by-probe ratio test. We performed enrichment analysis of CNVs at known EOC risk loci and functional biofeatures in ovarian cancer-related cell types. RESULTS We identified statistically significant risk associations with CNVs at known EOC risk genes; BRCA1 (PEOC = 1.60E-21; OREOC = 8.24), RAD51C (Phigh-grade serous ovarian cancer [HGSOC] = 5.5E-4; odds ratio [OR]HGSOC = 5.74 del), and BRCA2 (PHGSOC = 7.0E-4; ORHGSOC = 3.31 deletion). Four suggestive associations (P < .001) were identified for rare CNVs. Risk-associated CNVs were enriched (P < .05) at known EOC risk loci identified by genome-wide association study. Noncoding CNVs were enriched in active promoters and insulators in EOC-related cell types. CONCLUSIONS CNVs in BRCA1 have been previously reported in smaller studies, but their observed frequency in this large population-based cohort, along with the CNVs observed at BRCA2 and RAD51C gene loci in EOC cases, suggests that these CNVs are potentially pathogenic and may contribute to the spectrum of disease-causing mutations in these genes. CNVs are likely to occur in a wider set of susceptibility regions, with potential implications for clinical genetic testing and disease prevention.
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Grants
- P01 CA017054 NCI NIH HHS
- N01 CN025403 NCI NIH HHS
- UM1 CA176726 NCI NIH HHS
- R01 CA058860 NCI NIH HHS
- P50 CA105009 NCI NIH HHS
- R01-CA122443 NIH HHS
- 076113 Wellcome Trust
- G0401527 Medical Research Council
- U19-CA148112 NCI NIH HHS
- P50 CA136393 NCI NIH HHS
- C490/A10119 C490/A10124 Cancer Research UK
- 1000143 Medical Research Council
- R01-CA54419 NIH HHS
- C8221/A19170 Cancer Research UK
- R01 CA049449 NCI NIH HHS
- P50 CA159981 NCI NIH HHS
- T32 GM118288 NIGMS NIH HHS
- CA1X01HG007491-01 NIH HHS
- Z01-ES044005 NIEHS NIH HHS
- R01 CA106414 NCI NIH HHS
- R01 CA095023 NCI NIH HHS
- N01 PC067010 NCI NIH HHS
- R01 CA058598 NCI NIH HHS
- U01 CA176726 NCI NIH HHS
- S10 RR025141 NCRR NIH HHS
- M01 RR000056 NCRR NIH HHS
- Department of Health
- 5T32GM118288-03 NIH HHS
- MR/N003284/1 Medical Research Council
- P30 CA014089 NCI NIH HHS
- K07-CA080668 NCI NIH HHS
- 14136 Cancer Research UK
- Worldwide Cancer Research
- MR_UU_12023 Medical Research Council
- R01 CA067262 NCI NIH HHS
- UM1 CA186107 NCI NIH HHS
- P30 CA015083 NCI NIH HHS
- G1000143 Medical Research Council
- R01 CA076016 NCI NIH HHS
- NHGRI NIH HHS
- P01 CA087969 NCI NIH HHS
- R01- CA61107 NCI NIH HHS
- R01-CA58598 NIH HHS
- U19 CA148112 NCI NIH HHS
- ULTR000445 NCATS NIH HHS
- R03 CA115195 NCI NIH HHS
- Wellcome Trust
- Breast Cancer Now
- R01 CA160669 NCI NIH HHS
- R01-CA058860 NIH HHS
- MC_UU_00004/01 Medical Research Council
- C570/A16491 Cancer Research UK
- R01-CA76016 NIH HHS
- R01-CA106414-A2 NIH HHS
- 001 World Health Organization
- Z01 ES049033 Intramural NIH HHS
- R01 CA126841 NCI NIH HHS
- MR/M012190/1 Medical Research Council
- 209057 Wellcome Trust
- R03 CA113148 NCI NIH HHS
- R01 CA149429 NCI NIH HHS
- National Institute of General Medical Sciences
- National Institutes of Health
- CSMC Precision Health Initiative
- Tell Every Amazing Lady About Ovarian Cancer Louisa M. McGregor Ovarian Cancer Foundation
- Ovarian Cancer Research Fund thanks
- National Cancer Institute
- National Human Genome Research Institute
- Canadian Institutes of Health Research
- Ovarian Cancer Research Fund
- European Commission’s Seventh Framework Programme
- Army Medical Research and Materiel Command
- National Health & Medical Research Council of Australia
- Cancer Councils of New South Wales, Victoria, Queensland, South Australia and Tasmania and Cancer Foundation of Western Australia
- Ovarian Cancer Australia
- Peter MacCallum Foundation
- University of Erlangen-Nuremberg
- National Kankerplan
- Breast Cancer Now, Institute of Cancer Research
- National Center for Advancing Translational Sciences
- European Commission
- International Agency for Research on Cancer
- Danish Cancer Society
- Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale
- Institut National de la Santé et de la Recherche Médicale
- German Cancer Aid; German Cancer Research Center
- Federal Ministry of Education and Research
- Hellenic Health Foundation
- Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy
- National Research Council
- Dutch Ministry of Public Health, Welfare and Sports
- Netherlands Cancer Registry
- LK Research Funds
- Dutch Prevention Funds
- World Cancer Research Fund
- Nordforsk, Nordic Centre of Excellence programme on Food, Nutrition and Health
- Health Research Fund
- Regional Governments of Andalucía, Asturias, Basque Country, Murcia and Navarra
- Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten
- German Federal Ministry of Education and Research, Programme of Clinical Biomedical Research
- German Cancer Research Center
- Rudolf-Bartling Foundation
- Helsinki University Hospital Research Fund
- University of Pittsburgh School of Medicine Dean’s Faculty Advancement Award
- Department of Defense
- NCI
- Swedish Cancer Society, Swedish Research Council, Beta Kamprad Foundation
- Danish Cancer Society, Copenhagen
- Mayo Foundation
- Minnesota Ovarian Cancer Alliance
- Fred C. and Katherine B. Andersen Foundation
- VicHealth and Cancer Council Victoria, Cancer Council Victoria
- National Health and Medical Research Council of Australia
- NHMRC
- DOD Ovarian Cancer Research Program
- Moffitt Cancer Center
- Merck Pharmaceuticals
- Radboud University Medical Centre
- UK National Institute for Health Research Biomedical Research Centres at the University of Cambridge
- National Institute of Environmental Health Sciences
- The Swedish Cancer Foundation
- the Swedish Research Council
- American Cancer Society
- Celma Mastry Ovarian Cancer Foundation
- Lon V Smith Foundation
- The Eve Appeal
- National Institute for Health Research University College London Hospitals Biomedical Research Centre
- California Cancer Research Program
- National Science Centre
- NIH
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