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• W4285229852 abstract "In cancer research, gene discoveries possess the potential for clinical and public health applications. In addition to gene discoveries, there is rapid development of new technologies such as next-generation sequencing (NGS), which leads to swift augmentation of research in the areas of cancer gene expression, pharmaco-genomics, epigenetics, and proteomics. To confiscate advantage of such discoveries, a systematic translational research approach is needed to reform discoveries from the bench to population health impact. Furthermore, there is an escalating number of large-scale clinical cohort studies with follow-up, in which multiple cohorts have provided distinctive opportunities to convey the effects of various genomic, demographic, molecular, clinical, lifestyle, and psychosocial factors on cancer outcomes. Translational epidemiology provides opportunities to unite various genomics; pharmaco-genomics, epigenetics, and proteomics-based studies forge new interdisciplinary collaborative ventures. Epidemiologists scrutinize different research query at the individual, macro environment, and biological levels. It seems that epidemiology has advantages to act as the bridge of gaps for the translational cancer research. However, the current epidemiology research tends to concentrate on social and environmental factor-based hypotheses, thus restricting its potential to coalesce multiple clinical and biological factors. Recently, there are huge efforts in the epidemiology community trying to fill the gaps to strengthen epidemiological and the clinical studies of cancer outcomes and also to reconstruct epidemiology for twenty-first-century medicine and effective public health use. Therefore, the sophisticated prototype for translational epidemiology is emerging. We have specifically contour cancer research areas, wherein translational epidemiology may readily accelerate the appropriate integration of genome discoveries into translation of research for precision medicine. Furthermore, the integration of population studies with these validated genomic discoveries carry great promise for clinical health applications in the development of biomarkers, early detection of cancer, improved risk prediction, more precise diagnosis and prognosis estimation as well as designing targeted therapeutic regime." @default.
• W4285229852 created "2022-07-14" @default.
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• W4285229852 date "2022-01-01" @default.
• W4285229852 modified "2023-09-28" @default.
• W4285229852 title "Translational Epidemiology in Cancer Research: The Less Travelled Path" @default.
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• W4285229852 doi "https://doi.org/10.1007/978-981-16-8845-4_18" @default.
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