Literature DB >> 32277003

Pitfalls in Cancer Biomarker Discovery and Validation with Emphasis on Circulating Tumor DNA.

Annie H Ren1,2, Clare A Fiala1, Eleftherios P Diamandis1,2,3, Vathany Kulasingam4,3.   

Abstract

Despite significant investment of funds and resources, few new cancer biomarkers have been introduced to the clinic in the last few decades. Although many candidates produce promising results in the laboratory, deficiencies in sensitivity, specificity, and predictive value make them less than desirable in a patient setting. This review will analyze these challenges in detail as well as discuss false discovery, problems with reproducibility, and tumor heterogeneity. Circulating tumor DNA (ctDNA), an emerging cancer biomarker, is also analyzed, particularly in the contexts of assay specificity, sensitivity, fragmentation, lead time, mutant allele fraction, and clinical relevance. Emerging artificial intelligence technologies will likely be valuable tools in maximizing the clinical utility of ctDNA which is often found in very small quantities in patients with early-stage tumors. Finally, the implications of challenging false discoveries are examined and some insights about improving cancer biomarker discovery are provided.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible." ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32277003     DOI: 10.1158/1055-9965.EPI-20-0074

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  7 in total

Review 1.  The National Cancer Institute Early Detection Research Network: Two Decades of Progress.

Authors:  Robert C Bast; Sudhir Srivastava
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-12       Impact factor: 4.254

Review 2.  Clinical and Molecular Prediction of Hepatocellular Carcinoma Risk.

Authors:  Naoto Kubota; Naoto Fujiwara; Yujin Hoshida
Journal:  J Clin Med       Date:  2020-11-26       Impact factor: 4.241

3.  A non-invasive method for concurrent detection of early-stage women-specific cancers.

Authors:  Ankur Gupta; Ganga Sagar; Zaved Siddiqui; Kanury V S Rao; Sujata Nayak; Najmuddin Saquib; Rajat Anand
Journal:  Sci Rep       Date:  2022-02-10       Impact factor: 4.379

Review 4.  Big Data in Cardiology: State-of-Art and Future Prospects.

Authors:  Haijiang Dai; Arwa Younis; Jude Dzevela Kong; Luca Puce; Georges Jabbour; Hong Yuan; Nicola Luigi Bragazzi
Journal:  Front Cardiovasc Med       Date:  2022-04-01

Review 5.  Uncovering the Depths of the Human Proteome: Antibody-based Technologies for Ultrasensitive Multiplexed Protein Detection and Quantification.

Authors:  Annie H Ren; Eleftherios P Diamandis; Vathany Kulasingam
Journal:  Mol Cell Proteomics       Date:  2021-09-28       Impact factor: 7.381

6.  Biomarkers and Strategies for Early Detection of Ovarian Cancer.

Authors:  Robert C Bast; Zhen Lu; Chae Young Han; Karen H Lu; Karen S Anderson; Charles W Drescher; Steven J Skates
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-10-13       Impact factor: 4.254

Review 7.  Lack of predictive tools for conventional and targeted cancer therapy: Barriers to biomarker development and clinical translation.

Authors:  Nikolaos Batis; Jill M Brooks; Karl Payne; Neil Sharma; Paul Nankivell; Hisham Mehanna
Journal:  Adv Drug Deliv Rev       Date:  2021-06-27       Impact factor: 15.470

  7 in total

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