Literature DB >> 25688116

Leveraging biospecimen resources for discovery or validation of markers for early cancer detection.

Sheri D Schully1, Danielle M Carrick2, Leah E Mechanic2, Sudhir Srivastava2, Garnet L Anderson2, John A Baron2, Christine D Berg2, Jennifer Cullen2, Eleftherios P Diamandis2, V Paul Doria-Rose2, Katrina A B Goddard2, Susan E Hankinson2, Lawrence H Kushi2, Eric B Larson2, Lisa M McShane2, Richard L Schilsky2, Steven Shak2, Steven J Skates2, Nicole Urban2, Barnett S Kramer2, Muin J Khoury2, David F Ransohoff2.   

Abstract

Validation of early detection cancer biomarkers has proven to be disappointing when initial promising claims have often not been reproducible in diagnostic samples or did not extend to prediagnostic samples. The previously reported lack of rigorous internal validity (systematic differences between compared groups) and external validity (lack of generalizability beyond compared groups) may be effectively addressed by utilizing blood specimens and data collected within well-conducted cohort studies. Cohort studies with prediagnostic specimens (eg, blood specimens collected prior to development of clinical symptoms) and clinical data have recently been used to assess the validity of some early detection biomarkers. With this background, the Division of Cancer Control and Population Sciences (DCCPS) and the Division of Cancer Prevention (DCP) of the National Cancer Institute (NCI) held a joint workshop in August 2013. The goal was to advance early detection cancer research by considering how the infrastructure of cohort studies that already exist or are being developed might be leveraged to include appropriate blood specimens, including prediagnostic specimens, ideally collected at periodic intervals, along with clinical data about symptom status and cancer diagnosis. Three overarching recommendations emerged from the discussions: 1) facilitate sharing of existing specimens and data, 2) encourage collaboration among scientists developing biomarkers and those conducting observational cohort studies or managing healthcare systems with cohorts followed over time, and 3) conduct pilot projects that identify and address key logistic and feasibility issues regarding how appropriate specimens and clinical data might be collected at reasonable effort and cost within existing or future cohorts. © Published by Oxford University Press 2015.

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Year:  2015        PMID: 25688116      PMCID: PMC4342676          DOI: 10.1093/jnci/djv012

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  29 in total

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Journal:  Cancer Prev Res (Phila)       Date:  2011-03

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6.  Results of annual screening in phase I of the United Kingdom familial ovarian cancer screening study highlight the need for strict adherence to screening schedule.

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9.  NCI think tank concerning the identifiability of biospecimens and "omic" data.

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10.  Criteria for the use of omics-based predictors in clinical trials.

Authors:  Lisa M McShane; Margaret M Cavenagh; Tracy G Lively; David A Eberhard; William L Bigbee; P Mickey Williams; Jill P Mesirov; Mei-Yin C Polley; Kelly Y Kim; James V Tricoli; Jeremy M G Taylor; Deborah J Shuman; Richard M Simon; James H Doroshow; Barbara A Conley
Journal:  Nature       Date:  2013-10-17       Impact factor: 49.962

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2.  RE: Leveraging Biospecimen Resources for Discovery or Validation of Markers for Early Cancer Detection.

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Journal:  J Natl Cancer Inst       Date:  2015-09       Impact factor: 13.506

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8.  Evaluating Molecular Biomarkers for the Early Detection of Lung Cancer: When Is a Biomarker Ready for Clinical Use? An Official American Thoracic Society Policy Statement.

Authors:  Peter J Mazzone; Catherine Rufatto Sears; Doug A Arenberg; Mina Gaga; Michael K Gould; Pierre P Massion; Vish S Nair; Charles A Powell; Gerard A Silvestri; Anil Vachani; Renda Soylemez Wiener
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Review 9.  Using Big Data to Discover Diagnostics and Therapeutics for Gastrointestinal and Liver Diseases.

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10.  Use of big data in drug development for precision medicine: an update.

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