ReviewEpidemiology (Cambridge, Mass.)2010
Evaluating cancer epidemiologic risk factors using multiple primary malignancies.
Review in Epidemiology (Cambridge, Mass.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
11 citing papers in PubMed, 18 citations in OpenAlex.
- Clinical characteristics and survival of lung cancer patients associated with multiple primary malignancies.PloS one · 2017Article
- Synchronous double primary cancer of the lung and nasal vestibule: A case report and literature review.Molecular and clinical oncology · 2016Article
- Incidence of multiple primary cancers and interval between first and second primary cancers.Cancer science · 2014Article
- Multifocal epithelial tumors and field cancerization: stroma as a primary determinant.The Journal of clinical investigation · 2014Review
- CHEK2*1100delC homozygosity in the Netherlands--prevalence and risk of breast and lung cancer.European journal of human genetics : EJHG · 2014Article
- Value of bilateral breast cancer for identification of rare recessive at-risk alleles: evidence for the role of homozygous GEN1 c.2515_2519delAAGTT mutation.Familial cancer · 2013Article
- Incidence of metachronous second primary cancers in Osaka, Japan: update of analyses using population-based cancer registry data.Cancer science · 2012Article
- Multiple pathway-based genetic variations associated with tobacco related multiple primary neoplasms.PloS one · 2012Article
- A strategy for distinguishing optimal cancer subtypes.International journal of cancer · 2011Article
- Assessment of rare BRCA1 and BRCA2 variants of unknown significance using hierarchical modeling.Genetic epidemiology · 2011Article
- PALB2 mutations in German and Russian patients with bilateral breast cancer.Breast cancer research and treatment · 2011Article
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundSeveral 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.
methodsWe 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.
resultsThe 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.
conclusionsPatients 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.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.