Literature DB >> 19406210

Genomic and proteomic biomarkers for cancer: a multitude of opportunities.

Michael A Tainsky1.   

Abstract

Biomarkers are molecular indicators of a biological status, and as biochemical species can be assayed to evaluate the presence of cancer and therapeutic interventions. Through a variety of mechanisms cancer cells provide the biomarker material for their own detection. Biomarkers may be detectable in the blood, other body fluids, or tissues. The expectation is that the level of an informative biomarker is related to the specific type of disease present in the body. Biomarkers have potential both as diagnostic indicators and monitors of the effectiveness of clinical interventions. Biomarkers are also able to stratify cancer patients to the most appropriate treatment. Effective biomarkers for the early detection of cancer should provide a patient with a better outcome which in turn will translate into more efficient delivery of healthcare. Technologies for the early detection of cancer have resulted in reductions in disease-associated mortalities from cancers that are otherwise deadly if allowed to progress. Such screening technologies have proven that early detection will decrease the morbidity and mortality from cancer. An emerging theme in biomarker research is the expectation that panels of biomarker analytes rather than single markers will be needed to have sufficient sensitivity and specificity for the presymptomatic detection of cancer. Biomarkers may provide prognostic information of disease enabling interventions using targeted therapeutic agents as well as course-corrections in cancer treatment. Novel genomic, proteomic and metabolomic technologies are being used to discover and validate tumor biomarkers individually and in panels.

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Year:  2009        PMID: 19406210      PMCID: PMC2752479          DOI: 10.1016/j.bbcan.2009.04.004

Source DB:  PubMed          Journal:  Biochim Biophys Acta        ISSN: 0006-3002


  260 in total

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Authors:  Young S Kim; Padma Maruvada; John A Milner
Journal:  Future Oncol       Date:  2008-02       Impact factor: 3.404

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3.  STI571 inactivation of the gastrointestinal stromal tumor c-KIT oncoprotein: biological and clinical implications.

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Journal:  Oncogene       Date:  2001-08-16       Impact factor: 9.867

4.  Identification of tumor antigens in renal cell carcinoma by serological proteome analysis.

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Journal:  Proteomics       Date:  2001-07       Impact factor: 3.984

5.  Prognostic value of CA 19-9 serum course in pancreatic cancer.

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Journal:  Hepatogastroenterology       Date:  1998 Jan-Feb

6.  Monitoring of minimal residual disease by quantitative reverse transcriptase-polymerase chain reaction for AML1-MTG8 transcripts in AML-M2 with t(8; 21).

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Journal:  Blood       Date:  1996-11-15       Impact factor: 22.113

7.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

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Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

8.  Detection of minimal residual disease in acute myelomonocytic leukemia with abnormal marrow eosinophils by nested polymerase chain reaction with allele specific amplification.

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Journal:  Blood       Date:  1994-10-01       Impact factor: 22.113

Review 9.  Personalized therapy of sarcomas: integration of biomarkers for improved diagnosis, prognosis, and therapy selection.

Authors:  Joseph A Ludwig
Journal:  Curr Oncol Rep       Date:  2008-07       Impact factor: 5.075

10.  Rearrangements and aberrant expression of the retinoic acid receptor alpha gene in acute promyelocytic leukemias.

Authors:  L Longo; P P Pandolfi; A Biondi; A Rambaldi; A Mencarelli; F Lo Coco; D Diverio; L Pegoraro; G Avanzi; A Tabilio
Journal:  J Exp Med       Date:  1990-12-01       Impact factor: 14.307

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  34 in total

1.  A high-throughput O-glycopeptide discovery platform for seromic profiling.

Authors:  Ola Blixt; Emiliano Cló; Aaron S Nudelman; Kasper Kildegaard Sørensen; Thomas Clausen; Hans H Wandall; Philip O Livingston; Henrik Clausen; Knud J Jensen
Journal:  J Proteome Res       Date:  2010-10-01       Impact factor: 4.466

2.  Towards automatic metabolomic profiling of high-resolution one-dimensional proton NMR spectra.

Authors:  Pascal Mercier; Michael J Lewis; David Chang; David Baker; David S Wishart
Journal:  J Biomol NMR       Date:  2011-03-01       Impact factor: 2.835

3.  Omics-based molecular target and biomarker identification.

Authors:  Zhang-Zhi Hu; Hongzhan Huang; Cathy H Wu; Mira Jung; Anatoly Dritschilo; Anna T Riegel; Anton Wellstein
Journal:  Methods Mol Biol       Date:  2011

4.  CD147 and Ki-67 overexpression confers poor prognosis in squamous cell carcinoma of oral tongue: a tissue microarray study.

Authors:  Yau-Hua Yu; Jose Morales; Lei Feng; J Jack Lee; Adel K El-Naggar; Nadarajah Vigneswaran
Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol       Date:  2015-01-07

5.  The proteome of normal pancreatic juice.

Authors:  Courtney J Doyle; Kyle Yancey; Henry A Pitt; Mu Wang; Kerry Bemis; Michele T Yip-Schneider; Stuart T Sherman; Keith D Lillemoe; Michael D Goggins; C Max Schmidt
Journal:  Pancreas       Date:  2012-03       Impact factor: 3.327

6.  Mathematical model identifies blood biomarker-based early cancer detection strategies and limitations.

Authors:  Sharon S Hori; Sanjiv S Gambhir
Journal:  Sci Transl Med       Date:  2011-11-16       Impact factor: 17.956

7.  Ion-permeable membrane for on-chip preconcentration and separation of cancer marker proteins.

Authors:  Pamela N Nge; Weichun Yang; Jayson V Pagaduan; Adam T Woolley
Journal:  Electrophoresis       Date:  2011-05       Impact factor: 3.535

8.  An engineered ClyA nanopore detects folded target proteins by selective external association and pore entry.

Authors:  Misha Soskine; Annemie Biesemans; Benjamien Moeyaert; Stephen Cheley; Hagan Bayley; Giovanni Maglia
Journal:  Nano Lett       Date:  2012-08-06       Impact factor: 11.189

9.  Quantification of plasma cell-free DNA levels in dogs with various tumors.

Authors:  Michihito Tagawa; Genya Shimbo; Hisashi Inokuma; Kazuro Miyahara
Journal:  J Vet Diagn Invest       Date:  2019-10-04       Impact factor: 1.279

10.  Bridging the gap between biologic, individual, and macroenvironmental factors in cancer: a multilevel approach.

Authors:  Shannon M Lynch; Timothy R Rebbeck
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-03-05       Impact factor: 4.254

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