Literature DB >> 16884325

Molecular screening of cancer: the future is here.

Sudhir Srivastava1.   

Abstract

The remarkable growth in our knowledge of the biology of cancer is leading to the identification of previously elusive pathways and networks involved in cancer causation. The development of technologies has played a pivotal role in furthering this understanding and appreciation of the complexity of tumorigenesis, and is advancing efforts to fully grasp the biology and exploit the knowledge for improvements in cancer detection, prevention, and therapy. The future of molecular screening, i.e. detection of risk or cancer via molecular determinants, has never been so close to a reality. Molecular assays employed in cancer detection and therapy are likely to revolutionize cancer treatment through individual-based diagnosis and treatment, i.e. personalized medicine. A number of detection techniques, such as the detection of aberrant DNA and RNA, the presence of auto-antibodies in serum or plasma, and protein profiling, are already in limited use for patient stratification for clinical trials and for predicting drug response.

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Year:  2006        PMID: 16884325     DOI: 10.1007/BF03256460

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  47 in total

Review 1.  Phases of biomarker development for early detection of cancer.

Authors:  M S Pepe; R Etzioni; Z Feng; J D Potter; M L Thompson; M Thornquist; M Winget; Y Yasui
Journal:  J Natl Cancer Inst       Date:  2001-07-18       Impact factor: 13.506

Review 2.  Protein microarrays: meeting analytical challenges for clinical applications.

Authors:  Lance A Liotta; Virginia Espina; Arpita I Mehta; Valerie Calvert; Kevin Rosenblatt; David Geho; Peter J Munson; Lynn Young; Julia Wulfkuhle; Emanuel F Petricoin
Journal:  Cancer Cell       Date:  2003-04       Impact factor: 31.743

Review 3.  Proteomics for cancer biomarker discovery.

Authors:  Pothur R Srinivas; Mukesh Verma; Yinming Zhao; Sudhir Srivastava
Journal:  Clin Chem       Date:  2002-08       Impact factor: 8.327

4.  Clinical usefulness of des-gamma-carboxy prothrombin assay in early diagnosis of hepatocellular carcinoma.

Authors:  S Fujiyama; K Izuno; K Gohshi; J Shibata; T Sato
Journal:  Dig Dis Sci       Date:  1991-12       Impact factor: 3.199

Review 5.  Epigenetics in cancer: implications for early detection and prevention.

Authors:  Mukesh Verma; Sudhir Srivastava
Journal:  Lancet Oncol       Date:  2002-12       Impact factor: 41.316

6.  Promoter hypermethylation and BRCA1 inactivation in sporadic breast and ovarian tumors.

Authors:  M Esteller; J M Silva; G Dominguez; F Bonilla; X Matias-Guiu; E Lerma; E Bussaglia; J Prat; I C Harkes; E A Repasky; E Gabrielson; M Schutte; S B Baylin; J G Herman
Journal:  J Natl Cancer Inst       Date:  2000-04-05       Impact factor: 13.506

7.  Autoantibody signatures in prostate cancer.

Authors:  Xiaoju Wang; Jianjun Yu; Arun Sreekumar; Sooryanarayana Varambally; Ronglai Shen; Donald Giacherio; Rohit Mehra; James E Montie; Kenneth J Pienta; Martin G Sanda; Philip W Kantoff; Mark A Rubin; John T Wei; Debashis Ghosh; Arul M Chinnaiyan
Journal:  N Engl J Med       Date:  2005-09-22       Impact factor: 91.245

Review 8.  Common chromosomal fragile sites and cancer: focus on FRA16D.

Authors:  Louise V O'Keefe; Robert I Richards
Journal:  Cancer Lett       Date:  2005-10-20       Impact factor: 8.679

9.  Use of proteomic patterns in serum to identify ovarian cancer.

Authors:  Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta
Journal:  Lancet       Date:  2002-02-16       Impact factor: 79.321

Review 10.  Altered glycosylation of proteins produced by malignant cells, and application for the diagnosis and immunotherapy of tumours.

Authors:  Akira Kobata; Junko Amano
Journal:  Immunol Cell Biol       Date:  2005-08       Impact factor: 5.126

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  2 in total

1.  Microarray methods for protein biomarker detection.

Authors:  Hye Jin Lee; Alastair W Wark; Robert M Corn
Journal:  Analyst       Date:  2008-06-05       Impact factor: 4.616

2.  Sensitive detection of protein and miRNA cancer biomarkers using silicon-based photonic crystals and a resonance coupling laser scanning platform.

Authors:  Sherine George; Vikram Chaudhery; Meng Lu; Miki Takagi; Nabil Amro; Anusha Pokhriyal; Yafang Tan; Placid Ferreira; Brian T Cunningham
Journal:  Lab Chip       Date:  2013-08-20       Impact factor: 6.799

  2 in total

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