Literature DB >> 20196723

Tumor markers: the potential of "omics" approach.

M Sikaroodi1, Y Galachiantz, A Baranova.   

Abstract

Tumor markers are the molecules that indicate the presence or prognosis of malignancy. Most often, tumor markers are produced by the cancer tissue itself. Many of them could be secreted into the body fluids in small quantities. Thus, tumor markers could be useful for early diagnostics of primary tumors and relapsed disease, as well as for determining tumor prognosis and predicting likely response of the tumor to therapy. Tumor markers are part of the clinical routine. Nevertheless, lack of sensitivity and specificity precludes routine usage of single tumor markers in population-based screening. Shortcomings of single tumor markers could be solved by parallel evaluation of multiple tumor markers that can perform with required certainty. Genome and proteome-wide approaches currently lead to identification and initial characterization of hundreds new tumor marker candidates. Most prominent of such methods are serological analyses of recombinant cDNA expression libraries (SEREX), 2-dimensional polyacrylamide gel electrophoresis, mass spectrometry, as well as protein and DNA microarrays. Last but not the least is a computational approach allowing high-throughput detection of tumor marker candidate genes in publicly available datasets. Listed approaches are critically discussed in this review as well as the most crucial tumor-related findings. Finally, a perspective on the future of tumor markers in the tailored medicine is given.

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Year:  2010        PMID: 20196723     DOI: 10.2174/156652410790963277

Source DB:  PubMed          Journal:  Curr Mol Med        ISSN: 1566-5240            Impact factor:   2.222


  14 in total

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Journal:  J Gastric Cancer       Date:  2014-06-30       Impact factor: 3.720

3.  Beyond comparing means: the usefulness of analyzing interindividual variation in gene expression for identifying genes associated with cancer development.

Authors:  Ivan P Gorlov; Jinyoung Byun; Hongya Zhao; Christopher J Logothetis; Olga Y Gorlova
Journal:  J Bioinform Comput Biol       Date:  2012-04       Impact factor: 1.122

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5.  A novel "reactomics" approach for cancer diagnostics.

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6.  Identification of a biomarker panel for colorectal cancer diagnosis.

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Journal:  BMC Cancer       Date:  2012-01-26       Impact factor: 4.430

Review 7.  Nitrogen biobank for cardiovascular research.

Authors:  Antonella Mercuri; Stefano Turchi; Andrea Borghini; Maria Rosa Chiesa; Guido Lazzerini; Laura Musacchio; Ottavio Zirilli; Maria Grazia Andreassi
Journal:  Curr Cardiol Rev       Date:  2013-08

8.  Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung.

Authors:  Caiyue Ren; Jianping Zhang; Ming Qi; Jiangang Zhang; Yingjian Zhang; Shaoli Song; Yun Sun; Jingyi Cheng
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-10-15       Impact factor: 9.236

9.  Multiplex flow cytometry barcoding and antibody arrays identify surface antigen profiles of primary and metastatic colon cancer cell lines.

Authors:  Kumar Sukhdeo; Rosanto I Paramban; Jason G Vidal; Jeanne Elia; Jody Martin; Maricruz Rivera; Daniel R Carrasco; Awad Jarrar; Matthew F Kalady; Christian T Carson; Robert Balderas; Anita B Hjelmeland; Justin D Lathia; Jeremy N Rich
Journal:  PLoS One       Date:  2013-01-07       Impact factor: 3.240

10.  Highly informative marker sets consisting of genes with low individual degree of differential expression.

Authors:  V V Galatenko; M Yu Shkurnikov; T R Samatov; A V Galatenko; I A Mityakina; A D Kaprin; U Schumacher; A G Tonevitsky
Journal:  Sci Rep       Date:  2015-10-08       Impact factor: 4.379

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