Literature DB >> 20371465

Why most gene expression signatures of tumors have not been useful in the clinic.

Serge Koscielny1.   

Abstract

Omics technologies are expected to enhance our understanding of a variety of diseases and to open the door to patient-specific personalized medicine. Despite the extensive literature on the use of gene expression arrays to predict prognosis in cancer patients, poor progress has been made in the translation of gene expression signatures for use in the clinics. Breast cancer provides a ripe arena for an analysis of why such signatures have failed to fulfill their promise.

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Year:  2010        PMID: 20371465     DOI: 10.1126/scitranslmed.3000313

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  52 in total

1.  A few good genes: simple, biologically motivated signatures for cancer prognosis.

Authors:  Andrew J Gentles; Ash A Alizadeh
Journal:  Cell Cycle       Date:  2011-11-01       Impact factor: 4.534

2.  Integration of biological knowledge and gene expression data for biomarker selection: FN1 as a potential predictor of radiation resistance in head and neck cancer.

Authors:  Sally A Amundson; Lubomir B Smilenov
Journal:  Cancer Biol Ther       Date:  2010-12-15       Impact factor: 4.742

3.  Prediction of survival in diffuse large B-cell lymphoma based on the expression of 2 genes reflecting tumor and microenvironment.

Authors:  Ash A Alizadeh; Andrew J Gentles; Alvaro J Alencar; Chih Long Liu; Holbrook E Kohrt; Roch Houot; Matthew J Goldstein; Shuchun Zhao; Yasodha Natkunam; Ranjana H Advani; Randy D Gascoyne; Javier Briones; Robert J Tibshirani; June H Myklebust; Sylvia K Plevritis; Izidore S Lossos; Ronald Levy
Journal:  Blood       Date:  2011-06-13       Impact factor: 22.113

Review 4.  Applications of machine learning in drug discovery and development.

Authors:  Jessica Vamathevan; Dominic Clark; Paul Czodrowski; Ian Dunham; Edgardo Ferran; George Lee; Bin Li; Anant Madabhushi; Parantu Shah; Michaela Spitzer; Shanrong Zhao
Journal:  Nat Rev Drug Discov       Date:  2019-06       Impact factor: 84.694

5.  A genomic and clinical prognostic index for hepatitis C-related early-stage cirrhosis that predicts clinical deterioration.

Authors:  Lindsay Y King; Claudia Canasto-Chibuque; Kara B Johnson; Shun Yip; Xintong Chen; Kensuke Kojima; Manjeet Deshmukh; Anu Venkatesh; Poh Seng Tan; Xiaochen Sun; Augusto Villanueva; Angelo Sangiovanni; Venugopalan Nair; Milind Mahajan; Masahiro Kobayashi; Hiromitsu Kumada; Massimo Iavarone; Massimo Colombo; Maria Isabel Fiel; Scott L Friedman; Josep M Llovet; Raymond T Chung; Yujin Hoshida
Journal:  Gut       Date:  2014-08-20       Impact factor: 23.059

6.  Immune signature profiling identified predictive and prognostic factors for esophageal squamous cell carcinoma.

Authors:  Yuan Li; Zhiliang Lu; Yun Che; Jingnan Wang; Shouguo Sun; Jianbing Huang; Shuangshuang Mao; Yuanyuan Lei; Zhaoli Chen; Jie He
Journal:  Oncoimmunology       Date:  2017-07-31       Impact factor: 8.110

Review 7.  Multidimensionality of microarrays: statistical challenges and (im)possible solutions.

Authors:  Stefan Michiels; Andrew Kramar; Serge Koscielny
Journal:  Mol Oncol       Date:  2011-02-03       Impact factor: 6.603

8.  Association of a leukemic stem cell gene expression signature with clinical outcomes in acute myeloid leukemia.

Authors:  Andrew J Gentles; Sylvia K Plevritis; Ravindra Majeti; Ash A Alizadeh
Journal:  JAMA       Date:  2010-12-22       Impact factor: 56.272

9.  Gene expression signatures of radiation exposure in peripheral white blood cells of smokers and non-smokers.

Authors:  Sunirmal Paul; Sally A Amundson
Journal:  Int J Radiat Biol       Date:  2011-08       Impact factor: 2.694

10.  Cancer biomarker discovery and validation.

Authors:  Nicolas Goossens; Shigeki Nakagawa; Xiaochen Sun; Yujin Hoshida
Journal:  Transl Cancer Res       Date:  2015-06       Impact factor: 1.241

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