Literature DB >> 18977655

Lost in translation: problems and pitfalls in translating laboratory observations to clinical utility.

Richard Simon1.   

Abstract

Developments in whole genome biotechnology have dramatically increased the opportunities for developing more effective therapeutics and for targeting them to patients who require them and who can benefit from them. This can have profound benefits for patients and for the economics of health care. There are, however, many obstacles to overcome in achieving this revolution. The effectiveness of translational research in oncology is seriously limited by many factors, both structural and scientific. Some of the obstacles involve the failure of biomedical organisations to develop and fund new models of inter-disciplinary collaboration needed to attract and support the best and brightest quantitative scientists to predictive medicine. Many of the challenges are scientific, requiring paradigm changes in the way drugs are developed and in the way clinical trials are designed and analysed. Some of these issues are addressed here, specifically in the context of developing molecular diagnostics in a manner that moves retrospective correlative science to prospective predictive medicine.

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Year:  2008        PMID: 18977655      PMCID: PMC2646591          DOI: 10.1016/j.ejca.2008.09.009

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  38 in total

1.  A paradigm for class prediction using gene expression profiles.

Authors:  Michael D Radmacher; Lisa M McShane; Richard Simon
Journal:  J Comput Biol       Date:  2002       Impact factor: 1.479

Review 2.  Clinical application of cDNA microarrays in oncology.

Authors:  Lajos Pusztai; Mark Ayers; James Stec; Gabriel N Hortobágyi
Journal:  Oncologist       Date:  2003

Review 3.  Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification.

Authors:  Richard Simon; Michael D Radmacher; Kevin Dobbin; Lisa M McShane
Journal:  J Natl Cancer Inst       Date:  2003-01-01       Impact factor: 13.506

4.  Statistical model to determine the relationship of response and survival in patients with advanced ovarian cancer treated with chemotherapy.

Authors:  V Torri; R Simon; E Russek-Cohen; D Midthune; M Friedman
Journal:  J Natl Cancer Inst       Date:  1992-03-18       Impact factor: 13.506

Review 5.  Clinical trial design for microarray predictive marker discovery and assessment.

Authors:  L Pusztai; K R Hess
Journal:  Ann Oncol       Date:  2004-12       Impact factor: 32.976

6.  Evaluating the efficiency of targeted designs for randomized clinical trials.

Authors:  Richard Simon; Aboubakar Maitournam
Journal:  Clin Cancer Res       Date:  2004-10-15       Impact factor: 12.531

7.  A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.

Authors:  Soonmyung Paik; Steven Shak; Gong Tang; Chungyeul Kim; Joffre Baker; Maureen Cronin; Frederick L Baehner; Michael G Walker; Drew Watson; Taesung Park; William Hiller; Edwin R Fisher; D Lawrence Wickerham; John Bryant; Norman Wolmark
Journal:  N Engl J Med       Date:  2004-12-10       Impact factor: 91.245

8.  Gene expression profiling predicts clinical outcome of breast cancer.

Authors:  Laura J van 't Veer; Hongyue Dai; Marc J van de Vijver; Yudong D He; Augustinus A M Hart; Mao Mao; Hans L Peterse; Karin van der Kooy; Matthew J Marton; Anke T Witteveen; George J Schreiber; Ron M Kerkhoven; Chris Roberts; Peter S Linsley; René Bernards; Stephen H Friend
Journal:  Nature       Date:  2002-01-31       Impact factor: 49.962

9.  The hypercycle. A principle of natural self-organization. Part A: Emergence of the hypercycle.

Authors:  M Eigen; P Schuster
Journal:  Naturwissenschaften       Date:  1977-11

10.  On the dynamics of breast tumor development in women carrying germline BRCA1 and BRCA2 mutations.

Authors:  Richard Simon; Xinan Zhang
Journal:  Int J Cancer       Date:  2008-04-15       Impact factor: 7.396

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  23 in total

1.  Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.

Authors:  Jean-Pierre Gillet; Anna Maria Calcagno; Sudhir Varma; Miguel Marino; Lisa J Green; Meena I Vora; Chirayu Patel; Josiah N Orina; Tatiana A Eliseeva; Vineet Singal; Raji Padmanabhan; Ben Davidson; Ram Ganapathi; Anil K Sood; Bo R Rueda; Suresh V Ambudkar; Michael M Gottesman
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-08       Impact factor: 11.205

2.  Has discovery-based cancer research been a bust?

Authors:  R J Epstein
Journal:  Clin Transl Oncol       Date:  2013-09-04       Impact factor: 3.405

Review 3.  Alzheimer's disease and age-related memory decline (preclinical).

Authors:  Alvin V Terry; Patrick M Callahan; Brandon Hall; Scott J Webster
Journal:  Pharmacol Biochem Behav       Date:  2011-02-24       Impact factor: 3.533

4.  The acute effects of dimebolin, a potential Alzheimer's disease treatment, on working memory in rhesus monkeys.

Authors:  Scott J Webster; Christina A Wilson; Chih-Hung Lee; Eric G Mohler; Alvin V Terry; Jerry J Buccafusco
Journal:  Br J Pharmacol       Date:  2011-10       Impact factor: 8.739

Review 5.  Translational science matters: forging partnerships between biomedical and behavioral science to advance the public's health.

Authors:  George A Mensah; Susan M Czajkowski
Journal:  Transl Behav Med       Date:  2018-09-08       Impact factor: 3.046

6.  The Fundamental Difficulty With Evaluating the Accuracy of Biomarkers for Guiding Treatment.

Authors:  Holly Janes; Margaret S Pepe; Lisa M McShane; Daniel J Sargent; Patrick J Heagerty
Journal:  J Natl Cancer Inst       Date:  2015-06-24       Impact factor: 13.506

Review 7.  Turning laboratory findings into therapy: a marathon goal that has to be reached.

Authors:  Beatrix Kotlan; David F Stroncek; Francesco M Marincola
Journal:  Pol Arch Med Wewn       Date:  2009-09

8.  Validity of clinical associations of biomarkers in translational research studies: the case of systemic autoimmune diseases.

Authors:  Maria G Tektonidou; Michael M Ward
Journal:  Arthritis Res Ther       Date:  2010-09-27       Impact factor: 5.156

9.  Emerging concepts in biomarker discovery; the US-Japan Workshop on Immunological Molecular Markers in Oncology.

Authors:  Hideaki Tahara; Marimo Sato; Magdalena Thurin; Ena Wang; Lisa H Butterfield; Mary L Disis; Bernard A Fox; Peter P Lee; Samir N Khleif; Jon M Wigginton; Stefan Ambs; Yasunori Akutsu; Damien Chaussabel; Yuichiro Doki; Oleg Eremin; Wolf Hervé Fridman; Yoshihiko Hirohashi; Kohzoh Imai; James Jacobson; Masahisa Jinushi; Akira Kanamoto; Mohammed Kashani-Sabet; Kazunori Kato; Yutaka Kawakami; John M Kirkwood; Thomas O Kleen; Paul V Lehmann; Lance Liotta; Michael T Lotze; Michele Maio; Anatoli Malyguine; Giuseppe Masucci; Hisahiro Matsubara; Shawmarie Mayrand-Chung; Kiminori Nakamura; Hiroyoshi Nishikawa; A Karolina Palucka; Emanuel F Petricoin; Zoltan Pos; Antoni Ribas; Licia Rivoltini; Noriyuki Sato; Hiroshi Shiku; Craig L Slingluff; Howard Streicher; David F Stroncek; Hiroya Takeuchi; Minoru Toyota; Hisashi Wada; Xifeng Wu; Julia Wulfkuhle; Tomonori Yaguchi; Benjamin Zeskind; Yingdong Zhao; Mai-Britt Zocca; Francesco M Marincola
Journal:  J Transl Med       Date:  2009-06-17       Impact factor: 5.531

Review 10.  The Comparative Oncology Trials Consortium: using spontaneously occurring cancers in dogs to inform the cancer drug development pathway.

Authors:  Ira Gordon; Melissa Paoloni; Christina Mazcko; Chand Khanna
Journal:  PLoS Med       Date:  2009-10-13       Impact factor: 11.069

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