Literature DB >> 18582627

Interpretation of genomic data: questions and answers.

Richard Simon1.   

Abstract

Using a question and answer format we describe important aspects of using genomic technologies in cancer research. The main challenges are not managing the mass of data, but rather the design, analysis, and accurate reporting of studies that result in increased biological knowledge and medical utility. Many analysis issues address the use of expression microarrays but are also applicable to other whole genome assays. Microarray-based clinical investigations have generated both unrealistic hype and excessive skepticism. Genomic technologies are tremendously powerful and will play instrumental roles in elucidating the mechanisms of oncogenesis and in bringing on an era of predictive medicine in which treatments are tailored to individual tumors. Achieving these goals involves challenges in rethinking many paradigms for the conduct of basic and clinical cancer research and for the organization of interdisciplinary collaboration.

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Year:  2008        PMID: 18582627      PMCID: PMC2528831          DOI: 10.1053/j.seminhematol.2008.04.008

Source DB:  PubMed          Journal:  Semin Hematol        ISSN: 0037-1963            Impact factor:   3.851


  43 in total

1.  Sample size determination in microarray experiments for class comparison and prognostic classification.

Authors:  Kevin Dobbin; Richard Simon
Journal:  Biostatistics       Date:  2005-01       Impact factor: 5.899

Review 2.  When is a genomic classifier ready for prime time?

Authors:  Richard Simon
Journal:  Nat Clin Pract Oncol       Date:  2004-11

3.  Prediction error estimation: a comparison of resampling methods.

Authors:  Annette M Molinaro; Richard Simon; Ruth M Pfeiffer
Journal:  Bioinformatics       Date:  2005-05-19       Impact factor: 6.937

4.  Sample size planning for developing classifiers using high-dimensional DNA microarray data.

Authors:  Kevin K Dobbin; Richard M Simon
Journal:  Biostatistics       Date:  2006-04-13       Impact factor: 5.899

5.  Appropriateness of some resampling-based inference procedures for assessing performance of prognostic classifiers derived from microarray data.

Authors:  Lara Lusa; Lisa M McShane; Michael D Radmacher; Joanna H Shih; George W Wright; Richard Simon
Journal:  Stat Med       Date:  2007-02-28       Impact factor: 2.373

6.  Analyzing gene expression data in terms of gene sets: methodological issues.

Authors:  Jelle J Goeman; Peter Bühlmann
Journal:  Bioinformatics       Date:  2007-02-15       Impact factor: 6.937

7.  Development and clinical utility of a 21-gene recurrence score prognostic assay in patients with early breast cancer treated with tamoxifen.

Authors:  Soonmyung Paik
Journal:  Oncologist       Date:  2007-06

8.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

9.  Trastuzumab after adjuvant chemotherapy in HER2-positive breast cancer.

Authors:  Martine J Piccart-Gebhart; Marion Procter; Brian Leyland-Jones; Aron Goldhirsch; Michael Untch; Ian Smith; Luca Gianni; Jose Baselga; Richard Bell; Christian Jackisch; David Cameron; Mitch Dowsett; Carlos H Barrios; Günther Steger; Chiun-Shen Huang; Michael Andersson; Moshe Inbar; Mikhail Lichinitser; István Láng; Ulrike Nitz; Hiroji Iwata; Christoph Thomssen; Caroline Lohrisch; Thomas M Suter; Josef Rüschoff; Tamás Suto; Victoria Greatorex; Carol Ward; Carolyn Straehle; Eleanor McFadden; M Stella Dolci; Richard D Gelber
Journal:  N Engl J Med       Date:  2005-10-20       Impact factor: 91.245

10.  A comparison of univariate and multivariate gene selection techniques for classification of cancer datasets.

Authors:  Carmen Lai; Marcel J T Reinders; Laura J van't Veer; Lodewyk F A Wessels
Journal:  BMC Bioinformatics       Date:  2006-05-02       Impact factor: 3.169

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  5 in total

Review 1.  Quality assurance of RNA expression profiling in clinical laboratories.

Authors:  Weihua Tang; Zhiyuan Hu; Hind Muallem; Margaret L Gulley
Journal:  J Mol Diagn       Date:  2011-10-20       Impact factor: 5.568

2.  Unique characteristics of adolescent and young adult acute lymphoblastic leukemia, breast cancer, and colon cancer.

Authors:  James V Tricoli; Nita L Seibel; Donald G Blair; Karen Albritton; Brandon Hayes-Lattin
Journal:  J Natl Cancer Inst       Date:  2011-03-24       Impact factor: 13.506

3.  A prototype tobacco-associated oral squamous cell carcinoma classifier using RNA from brush cytology.

Authors:  Antonia Kolokythas; Mitchell J Bosman; Kristen B Pytynia; Suchismita Panda; Herve Y Sroussi; Yang Dai; Joel L Schwartz; Guy R Adami
Journal:  J Oral Pathol Med       Date:  2013-04-17       Impact factor: 4.253

4.  Assessment of performance of survival prediction models for cancer prognosis.

Authors:  Hung-Chia Chen; Ralph L Kodell; Kuang Fu Cheng; James J Chen
Journal:  BMC Med Res Methodol       Date:  2012-07-23       Impact factor: 4.615

5.  Assessment of reproducibility of cancer survival risk predictions across medical centers.

Authors:  Hung-Chia Chen; James J Chen
Journal:  BMC Med Res Methodol       Date:  2013-02-20       Impact factor: 4.615

  5 in total

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