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Evaluating cancer epidemiologic risk factors using multiple primary malignancies.

ABSTRACT: Several authors have proposed the use of patients with double primary malignancies affecting the same or contralateral organ as a genetically enriched resource of cases for epidemiologic case-control studies in cancer. Such an approach is based on the assumption that the factors that increase the risk of a second primary are the same ones which influence the risk of a first primary. The advantages for statistical power are premised on the assumption that relative risks in survivors of a first primary cancer are similar to relative risks in the unaffected population. We explore these assumptions theoretically and empirically using published data from breast cancer studies involving bilateral breast cancer.We conducted a literature review to identify case-control studies of variants in 4 genes known to affect breast cancer risk: CHEK2*1100delC; multiple variants in BRCA1 and BRCA2; and FGFR2 rs2981582. Summary odds ratios were obtained for each of 3 study designs: a conventional case-control design, the design comparing bilateral cases with unilateral controls, and the design comparing bilateral cases with population controls.The data show strong patterns of steadily increasing prevalence of risk factors from healthy controls to primary cases to bilateral cases, as expected. Relative risks in survivors of unilateral breast cancer are either the same as in the general population, or modestly attenuated.Patients with double primary malignancies are a very important underused resource for cancer epidemiologic investigation. Such patients are especially useful for broad genome-wide discovery studies, and for studies of rare, strong risk factors such as high penetrance genes.

SUBMITTER: Kuligina E

PROVIDER: S-EPMC3142453 | biostudies-literature | 2010 May

REPOSITORIES: biostudies-literature

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Evaluating cancer epidemiologic risk factors using multiple primary malignancies.

Kuligina Ekatherina E Reiner Anne A Imyanitov Evgeny N EN Begg Colin B CB

Epidemiology (Cambridge, Mass.) 20100501 3

<h4>Background</h4>Several authors have proposed the use of patients with double primary malignancies affecting the same or contralateral organ as a genetically enriched resource of cases for epidemiologic case-control studies in cancer. Such an approach is based on the assumption that the factors that increase the risk of a second primary are the same ones which influence the risk of a first primary. The advantages for statistical power are premised on the assumption that relative risks in surv ...[more]

PMID: 20299982

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Project description:Background: Second primary malignancy (SPM) attracts a growing attention. However, the clinical features of colon cancer (CC) survivors with SPMs are not clear and could help guide clinicians to develop a better surveillance strategy. Methods: We reviewed 56,930 CC survivors treated with colectomy from the Surveillance, Epidemiology, and End Results (SEER) database during 1998-2011. Competing risk models and nomograms were conducted for predicting the risk of occurring SPMs. The clinical utility of the models was measured by decision curve analysis (DCA) using net benefit approaches. Results: Five thousand thirteen (17.1%) of male patients developed SPMs and sites of SPMs included prostate (32.2%), lung and bronchus (11.6%), urinary bladder and kidney (10.8%), colon (10.0%), and melanoma of the skin (3.9%), while 3,592 (13.0%) of female patients occurred SPMs and sites of SPMs involved breast (25.8%), lung and bronchus (13.6%), colon (11.6%), uterus (8.2%), urinary bladder, and kidney (5.6%). Survivors with a second carcinoma of lung and bronchus showed the worst prognosis. Older age increased the risk of SPMs in both male (Subdistribution hazard ratio =2.85 [95% confidence interval = 2.53-3.21]) and female (1.80 [1.59-2.04]) survivors, especially for the risk of a second prostate carcinoma in male (5.33 [4.03-7.03]). Compared with white race, black male survivors remained at higher risk to develop the second prostate carcinoma (1.98 [1.74-2.26]). Competing-risk nomograms for CC survivors were established to help clinicians predict the probabilities of overall SPMs and prostate carcinoma. Validation of nomograms showed good discrimination and accuracy, and DCAs revealed the clinical effectiveness. Conclusions: We profiled the clinical characteristics of a large population-based cohort of CC survivors with SPMs. These features may improve future follow-up management, especially for the surveillance of second prostate cancer in men and second breast cancer in women.

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Evaluating cancer epidemiologic risk factors using multiple primary malignancies.

Publications

Evaluating cancer epidemiologic risk factors using multiple primary malignancies.

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