2015
DOI: 10.1007/s10552-015-0596-2
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Proceedings of the second international molecular pathological epidemiology (MPE) meeting

Abstract: Disease classification system increasingly incorporates information on pathogenic mechanisms to predict clinical outcomes and response to therapy and intervention. Technological advancements to interrogate omics (genomics, epigenomics, transcriptomics, proteomics, metabolomics, metagenomics, interactomics, etc.) provide widely-open opportunities in population-based research. Molecular pathological epidemiology (MPE) represents integrative science of molecular pathology and epidemiology. This unified paradigm r… Show more

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Cited by 42 publications
(28 citation statements)
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“…The strengths of our study include the use of our molecular pathological epidemiology (5052) database of rectal and colon carcinoma cases in the two U.S. nationwide, prospective cohort studies, which integrates clinicopathologic features, long-term survival data, and tumor molecular features including microRNA MIR21 expression in colorectal cancer tissue. This population-based colorectal cancer database enabled us to rigorously examine the interactive prognostic association of tumor MIR21 and PTGS2, controlling for potential confounders.…”
Section: Discussionmentioning
confidence: 99%
“…The strengths of our study include the use of our molecular pathological epidemiology (5052) database of rectal and colon carcinoma cases in the two U.S. nationwide, prospective cohort studies, which integrates clinicopathologic features, long-term survival data, and tumor molecular features including microRNA MIR21 expression in colorectal cancer tissue. This population-based colorectal cancer database enabled us to rigorously examine the interactive prognostic association of tumor MIR21 and PTGS2, controlling for potential confounders.…”
Section: Discussionmentioning
confidence: 99%
“…This MPE approach can link exposures to specific molecular pathologic signatures, give clues to mechanisms, enhance causal inference, and identify potential biomarkers for clinical use. 7075 Study participants were distributed throughout the U.S. and in general represent CRC cases in the U.S. population. Data on lifestyle and tumors were collected prospectively by investigators blinded to patient outcomes.…”
Section: Discussionmentioning
confidence: 99%
“…Similar to prediction of breast cancer recurrence risk, prediction of primary breast cancer risk needs to consider the heterogeneity of breast cancer; however, these efforts are hindered by the paucity of risk factors identified for more aggressive breast cancer (23,24). Consequently, there is a need to combine achievements gained in both basic science and epidemiology into trans-disciplinary approaches as discussed by Colditz and colleagues (25), and exemplified by a recent meeting in molecular pathologic epidemiology (26).…”
Section: Breast Cancer Risk Prediction Modelsmentioning
confidence: 99%