Is molecular profiling ready for use in clinical decision making

作者: John P. A. Ioannidis

DOI: 10.1634/THEONCOLOGIST.12-3-301

关键词:

摘要: Molecular profiling, the classification of tissue or other specimens for diagnostic, prognostic, and predictive purposes based on multiple gene expression, is a technology that holds major promise optimizing management patients with cancer. However, use these tests clinical decision making presents many challenges to overcome. Assay development data analysis in this field have been largely exploratory, leavenumerouspossibilitiesfortheintroductionofbias. Standardization profiles remains exception. Classifier performance usually overinterpreted by presenting results as p-values multiplicative effects (e.g., relative risks), while absolute sensitivity specificity remain modest at best, especially when tested large validation samples. Validation has often done suboptimal attention methodology protection from bias. The postulated classifier may be inflated compared what can achieve. With exception breast cancer, we little evidence about incremental discrimination molecular provide versus classic risk factors alone. Clinical trials started evaluate utility using cancer management. Until obtain trials, impact net benefit under real-life settings unknown. Optimal incorporation into practice not straightforward. Finally, cost-effectiveness difficult appreciate until are addressed. Overall, profiling fascinating promising technology, but its requires careful planning robust evidence. Oncologist 2007;12: 301–311

参考文章(57)
J.P.A. Ioannidis, N. Pavlidis, Levels of absolute survival benefit for systemic therapies of advanced cancer. a call for standards. European Journal of Cancer. ,vol. 39, pp. 1194- 1198 ,(2003) , 10.1016/S0959-8049(03)00119-9
Alvis Brazma, Pascal Hingamp, John Quackenbush, Gavin Sherlock, Paul Spellman, Chris Stoeckert, John Aach, Wilhelm Ansorge, Catherine A. Ball, Helen C. Causton, Terry Gaasterland, Patrick Glenisson, Frank C.P. Holstege, Irene F. Kim, Victor Markowitz, John C. Matese, Helen Parkinson, Alan Robinson, Ugis Sarkans, Steffen Schulze-Kremer, Jason Stewart, Ronald Taylor, Jaak Vilo, Martin Vingron, Minimum information about a microarray experiment (MIAME)-toward standards for microarray data. Nature Genetics. ,vol. 29, pp. 365- 371 ,(2001) , 10.1038/NG1201-365
David F. Ransohoff, Bias as a threat to the validity of cancer molecular-marker research Nature Reviews Cancer. ,vol. 5, pp. 142- 149 ,(2005) , 10.1038/NRC1550
William S Dalton, Stephen H Friend, Cancer biomarkers--an invitation to the table. Science. ,vol. 312, pp. 1165- 1168 ,(2006) , 10.1126/SCIENCE.1125948
Benjamin L. Ebert, Todd R. Golub, Genomic approaches to hematologic malignancies Blood. ,vol. 104, pp. 923- 932 ,(2004) , 10.1182/BLOOD-2004-01-0274
Andreas Rosenwald, George Wright, Wing C. Chan, Joseph M. Connors, Elias Campo, Richard I. Fisher, Randy D. Gascoyne, H. Konrad Muller-Hermelink, Erlend B. Smeland, Jena M. Giltnane, Elaine M. Hurt, Hong Zhao, Lauren Averett, Liming Yang, Wyndham H. Wilson, Elaine S. Jaffe, Richard Simon, Richard D. Klausner, John Powell, Patricia L. Duffey, Dan L. Longo, Timothy C. Greiner, Dennis D. Weisenburger, Warren G. Sanger, Bhavana J. Dave, James C. Lynch, Julie Vose, James O. Armitage, Emilio Montserrat, Armando López-Guillermo, Thomas M. Grogan, Thomas P. Miller, Michel LeBlanc, German Ott, Stein Kvaloy, Jan Delabie, Harald Holte, Peter Krajci, Trond Stokke, Louis M. Staudt, The Use of Molecular Profiling to Predict Survival after Chemotherapy for Diffuse Large-B-Cell Lymphoma The New England Journal of Medicine. ,vol. 346, pp. 1937- 1947 ,(2002) , 10.1056/NEJMOA012914
Zhenglun Pan, Thomas A Trikalinos, Fotini K Kavvoura, Joseph Lau, John P.A Ioannidis, Local literature bias in genetic epidemiology: an empirical evaluation of the Chinese literature. PLOS Medicine. ,vol. 2, ,(2005) , 10.1371/JOURNAL.PMED.0020334
Seth M Steinberg, Elias Campo, Christine P Hans, Dennis D Weisenburger, Rita M Braziel, Jan Delabie, Randy D Gascoyne, Konrad Muller-Hermlink, Stefania Pittaluga, Mark Raffeld, Wing C Chan, Elaine S Jaffe, Youli Zu, Validation of tissue microarray immunohistochemistry staining and interpretation in diffuse large B-cell lymphoma Leukemia & Lymphoma. ,vol. 46, pp. 693- 701 ,(2005) , 10.1080/10428190500051844
Evangelia E Ntzani, John PA Ioannidis, Predictive ability of DNA microarrays for cancer outcomes and correlates: an empirical assessment. The Lancet. ,vol. 362, pp. 1439- 1444 ,(2003) , 10.1016/S0140-6736(03)14686-7
Nikolaos A Patsopoulos, John P A Ioannidis, Apostolos A Analatos, Origin and funding of the most frequently cited papers in medicine: database analysis BMJ. ,vol. 332, pp. 1061- 1064 ,(2006) , 10.1136/BMJ.38768.420139.80