Literature DB >> 12903844

New cancer biomarkers deriving from NCI early detection research.

Mukesh Verma1, Sudhir Srivastava.   

Abstract

Cancer is not a single disease but an accumulation of several events, genetic and epigenetic, arising in a single cell over a long time interval. A high priority in the cancer field is to identify these events. This can be achieved by characterizing cancer-associated genes and their protein products. Identifying the molecular alterations that distinguish any particular cancer cell from a normal cell will ultimately help to define the nature and predict the pathologic behavior of that cancer cell. It will also indicate the responsiveness to treatment of that particular tumor. Understanding the profile of molecular changes in any particular cancer will be extremely useful as it will become possible to correlate the resulting phenotype of that cancer with molecular events. Achieving these goals and knowledge will provide an opportunity for discovering new biomarkers for early cancer detection and developing prevention approaches. This will also help us identify new targets for therapeutic development. Advancement in technology includes methods and tools that enable research including, but not limited to, instrumentation, techniques, devices, and analysis tools (e.g., computer software). Resources such as databases, reagents, and tissue repositories are different than technologies. The identification and definition of the molecular profiles of cancer will require the development and dissemination of high-throughput molecular analysis technologies, as well as elucidation of all of the molecular species embedded in the genome of cancer and normal cells. The main challenge in cancer control and prevention is to detect the cancer early. This could then enable effective interventions and therapies contributing to reduction in mortality and morbidity. At a specific time, biomarkers serve as molecular signposts of the physiologic state of a cell. These signposts are the result of genes, their products (proteins) and other organic chemicals made by the cell. Biomarkers could prove to be vital for the identification of early cancer and subjects at risk of developing cancer as a normal cell progresses through the complex process of transformation to a cancerous state. This chapter discusses ongoing research in genetic and proteomic approaches to identify molecular signatures such as protein profiles, microsatellite instability, hypermethylation, and single nucleotide polymorphisms. Other topics covered here include the use of genomics and proteomics as high-throughput technology platforms to facilitate biomarker-aided detection of early cancer. Other areas covered include issues surrounding the analysis, validation, and predictive value of biomarkers using such technologies. Recent advances in noninvasive techniques, such as buccal cell isolates serving as viable sources of biomarkers, complementary to traditional sources such as serum or plasma, are also presented. The review also brings attention to the efforts of the Early Detection Research Network (EDRN) at the National Cancer Institute (NCI), in bringing together scientific expertise from leading national and international institutions, to identify and validate biomarkers for the detection of precancerous and cancerous cells in determining risk for developing cancer. The network's serious determined efforts in linking discovery to process development, resulting in early detection tests and clinical assessment, are also discussed.

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Year:  2003        PMID: 12903844     DOI: 10.1007/978-3-642-55647-0_7

Source DB:  PubMed          Journal:  Recent Results Cancer Res        ISSN: 0080-0015


  16 in total

Review 1.  Prostate cancer detection strategies.

Authors:  Timothy C Brand; Javier Hernandez; Edith D Canby-Hagino; Joseph W Basler; Ian M Thompson
Journal:  Curr Urol Rep       Date:  2006-05       Impact factor: 3.092

Review 2.  Biomarker method validation in anticancer drug development.

Authors:  J Cummings; T H Ward; A Greystoke; M Ranson; C Dive
Journal:  Br J Pharmacol       Date:  2007-09-17       Impact factor: 8.739

3.  Early diagnosis of hepatocellular carcinoma by microRNAs: shining a light from the genome's "dark matter".

Authors:  Alejandro H Corvalan
Journal:  Dig Dis Sci       Date:  2012-11       Impact factor: 3.199

Review 4.  Genetic and epigenetic biomarkers in cancer : improving diagnosis, risk assessment, and disease stratification.

Authors:  Mukesh Verma; Daniela Seminara; Fernando J Arena; Christy John; Kumiko Iwamoto; Virginia Hartmuller
Journal:  Mol Diagn Ther       Date:  2006       Impact factor: 4.074

5.  Detection and quantification of mutations in the plasma of patients with colorectal tumors.

Authors:  Frank Diehl; Meng Li; Devin Dressman; Yiping He; Dong Shen; Steve Szabo; Luis A Diaz; Steven N Goodman; Kerstin A David; Hartmut Juhl; Kenneth W Kinzler; Bert Vogelstein
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-28       Impact factor: 11.205

Review 6.  Tumor markers in prostate cancer I: blood-based markers.

Authors:  Shahrokh F Shariat; Axel Semjonow; Hans Lilja; Caroline Savage; Andrew J Vickers; Anders Bjartell
Journal:  Acta Oncol       Date:  2011-06       Impact factor: 4.089

7.  Expression of prostate stem cell antigen is downregulated during flavonoid-induced cytotoxicity in prostate cancer cells.

Authors:  Qiang Zhang; Guangdong Cheng; Hongbin Qiu; Yuexin Wang; Jingtao Wang; Hui Xu; Tao Zhang; Lixin Liu; Ye Tao; Zhongjuan Ren
Journal:  Exp Ther Med       Date:  2017-06-21       Impact factor: 2.447

Review 8.  Statistical consideration for clinical biomarker research in bladder cancer.

Authors:  Shahrokh F Shariat; Yair Lotan; Andrew Vickers; Pierre I Karakiewicz; Bernd J Schmitz-Dräger; Peter J Goebell; Nuria Malats
Journal:  Urol Oncol       Date:  2010 Jul-Aug       Impact factor: 3.498

9.  Assays for prostate cancer : changing the screening paradigm?

Authors:  Jens Hansen; Michael Rink; Markus Graefen; Shahrokh Shariat; Felix K-H Chun
Journal:  Mol Diagn Ther       Date:  2013-02       Impact factor: 4.074

Review 10.  The circadian clock in cancer development and therapy.

Authors:  Loning Fu; Nicole M Kettner
Journal:  Prog Mol Biol Transl Sci       Date:  2013       Impact factor: 3.622

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