Cancer Epidemiology Biomarkers and Prevention

Journal Title

  • Cancer Epidemiology Biomarkers and Prevention

ISSN

  • E 1538-7755 | P 1055-9965 | 1055-9965 | 1538-7755

Publisher

  • American Association for Cancer Research

Listed on(Coverage)

JCR1997-2019
SJR1999-2019
CiteScore2011-2019
SCI2010-2019
SCIE2010-2021
CC2016-2021
SCOPUS2017-2020
MEDLINE2016-2021
EMBASE2016-2020

Active

  • Active

    based on the information

    • SCOPUS:2020-10

Country

  • USA

Aime & Scopes

  • Cancer Epidemiology, Biomarkers & Prevention publishes original peer-reviewed, population-based research on cancer etiology, prevention, surveillance, and survivorship. The following topics are of special interest: descriptive, analytical, and molecular epidemiology; biomarkers including assay development, validation, and application; chemoprevention and other types of prevention research in the context of descriptive and observational studies; the role of behavioral factors in cancer etiology and prevention; survivorship studies; risk factors; and the science of cancer health disparities. Besides welcoming manuscripts that address individual subjects in any of the relevant disciplines, CEBP editors encourage the submission of manuscripts with a transdisciplinary approach. 1.Epidemiology Submissions related to descriptive and analytic studies of human cancer and related disorders as well as studies describing new methods in relevant areas. We also welcome statistical methods and computational models as related to epidemiology, the use of biomarkers for measuring exposure or characterizing disease or precursor conditions, or cancer prevention. 2.Genetic & Molecular Epidemiology Submissions that include studies of families or unrelated individuals that examine DNA-based or other molecular exposures in relation to cancer. 3.Nutrition & Energy Balance Submissions on all aspects of nutrition and energy balance and human cancer, including population studies and experimental human feeding and exercise trials, as well as studies describing new methods in relevant areas. 4.Methods & Models Submissions related to statistical methods or computational models in cancer research. The methods or models should be related to epidemiology; the use of biomarkers for measuring exposure or characterizing disease or precursor conditions; or cancer prevention. 5.Biomarkers, -Omics & Systems Biology Submissions related to all aspects of the development of biomarkers and the use of -omics approaches for risk, screening, early detection, diagnosis, and molecular classification of human cancer, as well as studies describing new methods in relevant areas. 6.Biospecimens & Biorepositiories Submissions that incorporate any aspects of methodologies for the collection, storage, management, and distribution of biological samples in studies of cancer in humans, as well as studies describing optimal conditions and methods in relevant areas of biospecimen science. 7.Screening & Early Detection Submissions related to all aspects of the biology of screening and early detection of cancer in humans, as well as studies describing new methods in relevant areas. 8.Behavioral & Intervention Research Submissions that examine determinants of both risky and protective behaviors as well as interventions to promote risk-reducing behaviors, including smoking cessation and prevention; prevention-, screening and early-detection-associated behaviors; relevant interventions; policy studies; decision-making studies; quality-of-life studies; late effects of cancer treatment and survivorship; and studies describing new methods. 9.Survivorship & Supportive Care Submissions related to all aspects of both observational and interventional cancer survivorship in humans. Population studies, as well as studies describing new methods in relevant areas, are of particular interest. 10.Cancer Health Disparities Submissions that explore the differences in cancer prevalence, mortality, survivorship, and burden among specific population groups. 11.Cancer Surveillance Research Original reports using cancer case and population-based data to examine, test, and develop hypotheses for cancer incidence, mortality, and prevalence.

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