Literature DB >> 25663694

Application of molecular profiling in clinical trials for advanced metastatic cancers.

Shivaani Kummar1, P Mickey Williams2, Chih-Jian Lih2, Eric C Polley2, Alice P Chen2, Larry V Rubinstein2, Yingdong Zhao2, Richard M Simon2, Barbara A Conley2, James H Doroshow2.   

Abstract

There is growing interest in the application of molecular profiling, including sequencing, genotyping, and/or mRNA expression profiling, to the analysis of patient tumors with the objective of applying these data to inform therapeutic choices for patients with advanced cancers. Multiple clinical trials that are attempting to validate this personalized or precision medicine approach are in various stages of development and execution. Although preliminary data from some of these efforts have fueled excitement about the value and utility of these studies, their execution has also provoked many questions about the best way to approach complicating factors such as tumor heterogeneity and the choice of which genetic mutations to target. This commentary highlights some of the challenges confronting the clinical application of molecular tumor profiling and the various trial designs being utilized to address these challenges. Randomized trials that rigorously test patient response to molecularly targeted agents assigned based on the presence of a defined set of mutations in putative cancer-driving pathways are required to address some of the current challenges and to identify patients likely to benefit from this approach. Published by Oxford University Press 2015.

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Year:  2015        PMID: 25663694      PMCID: PMC4334817          DOI: 10.1093/jnci/djv003

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  18 in total

1.  Pilot study using molecular profiling of patients' tumors to find potential targets and select treatments for their refractory cancers.

Authors:  Daniel D Von Hoff; Joseph J Stephenson; Peter Rosen; David M Loesch; Mitesh J Borad; Stephen Anthony; Gayle Jameson; Susan Brown; Nina Cantafio; Donald A Richards; Tom R Fitch; Ernesto Wasserman; Cristian Fernandez; Sylvan Green; William Sutherland; Michael Bittner; Arlet Alarcon; David Mallery; Robert Penny
Journal:  J Clin Oncol       Date:  2010-10-04       Impact factor: 44.544

2.  Genomics. Deflating the genomic bubble.

Authors:  James P Evans; Eric M Meslin; Theresa M Marteau; Timothy Caulfield
Journal:  Science       Date:  2011-02-18       Impact factor: 47.728

3.  The role of SN-38 exposure, UGT1A1*28 polymorphism, and baseline bilirubin level in predicting severe irinotecan toxicity.

Authors:  Roshni P Ramchandani; Yaning Wang; Brian P Booth; Amna Ibrahim; John R Johnson; Atiqur Rahman; Mehul Mehta; Federico Innocenti; Mark J Ratain; Jogarao V S Gobburu
Journal:  J Clin Pharmacol       Date:  2007-01       Impact factor: 3.126

Review 4.  Implementing personalized cancer genomics in clinical trials.

Authors:  Richard Simon; Sameek Roychowdhury
Journal:  Nat Rev Drug Discov       Date:  2013-05       Impact factor: 84.694

Review 5.  Germline pharmacogenomics in oncology: decoding the patient for targeting therapy.

Authors:  Peter H O'Donnell; Mark J Ratain
Journal:  Mol Oncol       Date:  2012-01-21       Impact factor: 6.603

6.  Personalized medicine in a phase I clinical trials program: the MD Anderson Cancer Center initiative.

Authors:  Apostolia-Maria Tsimberidou; Nancy G Iskander; David S Hong; Jennifer J Wheler; Gerald S Falchook; Siqing Fu; Sarina Piha-Paul; Aung Naing; Filip Janku; Rajyalakshmi Luthra; Yang Ye; Sijin Wen; Donald Berry; Razelle Kurzrock
Journal:  Clin Cancer Res       Date:  2012-09-10       Impact factor: 12.531

7.  Genome sequencing identifies a basis for everolimus sensitivity.

Authors:  Gopa Iyer; Aphrothiti J Hanrahan; Matthew I Milowsky; Hikmat Al-Ahmadie; Sasinya N Scott; Manickam Janakiraman; Mono Pirun; Chris Sander; Nicholas D Socci; Irina Ostrovnaya; Agnes Viale; Adriana Heguy; Luke Peng; Timothy A Chan; Bernard Bochner; Dean F Bajorin; Michael F Berger; Barry S Taylor; David B Solit
Journal:  Science       Date:  2012-08-23       Impact factor: 47.728

Review 8.  Which drug, and when, for patients with BRAF-mutant melanoma?

Authors:  Sekwon Jang; Michael B Atkins
Journal:  Lancet Oncol       Date:  2013-02       Impact factor: 41.316

9.  The BATTLE trial: personalizing therapy for lung cancer.

Authors:  Edward S Kim; Roy S Herbst; Ignacio I Wistuba; J Jack Lee; George R Blumenschein; Anne Tsao; David J Stewart; Marshall E Hicks; Jeremy Erasmus; Sanjay Gupta; Christine M Alden; Suyu Liu; Ximing Tang; Fadlo R Khuri; Hai T Tran; Bruce E Johnson; John V Heymach; Li Mao; Frank Fossella; Merrill S Kies; Vassiliki Papadimitrakopoulou; Suzanne E Davis; Scott M Lippman; Waun K Hong
Journal:  Cancer Discov       Date:  2011-06-01       Impact factor: 39.397

10.  Managing incidental genomic findings in clinical trials: fulfillment of the principle of justice.

Authors:  Rafael Dal-Ré; Nicholas Katsanis; Sara Katsanis; Lisa S Parker; Carmen Ayuso
Journal:  PLoS Med       Date:  2014-01-14       Impact factor: 11.069

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  21 in total

Review 1.  Precision medicine needs randomized clinical trials.

Authors:  Everardo D Saad; Xavier Paoletti; Tomasz Burzykowski; Marc Buyse
Journal:  Nat Rev Clin Oncol       Date:  2017-02-07       Impact factor: 66.675

Review 2.  Next-Generation Sequencing to Guide Clinical Trials.

Authors:  Lillian L Siu; Barbara A Conley; Scott Boerner; Patricia M LoRusso
Journal:  Clin Cancer Res       Date:  2015-10-15       Impact factor: 12.531

3.  Considering religion and spirituality in precision medicine.

Authors:  Karen H K Yeary; Kassandra I Alcaraz; Kimlin Tam Ashing; Chungyi Chiu; Shannon M Christy; Katarina Friberg Felsted; Qian Lu; Crystal Y Lumpkins; Kevin S Masters; Robert L Newton; Crystal L Park; Megan J Shen; Valerie J Silfee; Betina Yanez; Jean Yi
Journal:  Transl Behav Med       Date:  2020-02-03       Impact factor: 3.046

4.  Cell cycle gene expression networks discovered using systems biology: Significance in carcinogenesis.

Authors:  Robert E Scott; Prachi N Ghule; Janet L Stein; Gary S Stein
Journal:  J Cell Physiol       Date:  2015-10       Impact factor: 6.384

5.  Biostatistical and Logistical Considerations in the Development of Basket and Umbrella Clinical Trials.

Authors:  Laura M Yee; Lisa M McShane; Boris Freidlin; Margaret M Mooney; Edward L Korn
Journal:  Cancer J       Date:  2019 Jul/Aug       Impact factor: 3.360

6.  Introduction by the Guest Editor: Oncologic Precision Medicine and the Use of Basket and Umbrella Clinical Trials.

Authors:  James H Doroshow
Journal:  Cancer J       Date:  2019 Jul/Aug       Impact factor: 3.360

7.  What Can Be Done to Improve Research Biopsy Quality in Oncology Clinical Trials?

Authors:  Katherine V Ferry-Galow; Vivekananda Datta; Hala R Makhlouf; John Wright; Bradford J Wood; Elliot Levy; Etta D Pisano; Alda L Tam; Susanna I Lee; Umar Mahmood; Lawrence V Rubinstein; James H Doroshow; Alice P Chen
Journal:  J Oncol Pract       Date:  2018-10-04       Impact factor: 3.840

Review 8.  Precision Oncology Medicine: The Clinical Relevance of Patient-Specific Biomarkers Used to Optimize Cancer Treatment.

Authors:  Keith T Schmidt; Cindy H Chau; Douglas K Price; William D Figg
Journal:  J Clin Pharmacol       Date:  2016-06-17       Impact factor: 3.126

9.  Analytical Validation and Application of a Targeted Next-Generation Sequencing Mutation-Detection Assay for Use in Treatment Assignment in the NCI-MPACT Trial.

Authors:  Chih-Jian Lih; David J Sims; Robin D Harrington; Eric C Polley; Yingdong Zhao; Michele G Mehaffey; Thomas D Forbes; Biswajit Das; William D Walsh; Vivekananda Datta; Kneshay N Harper; Courtney H Bouk; Lawrence V Rubinstein; Richard M Simon; Barbara A Conley; Alice P Chen; Shivaani Kummar; James H Doroshow; Paul M Williams
Journal:  J Mol Diagn       Date:  2015-11-18       Impact factor: 5.568

Review 10.  Genomics and the History of Precision Oncology.

Authors:  Deborah B Doroshow; James H Doroshow
Journal:  Surg Oncol Clin N Am       Date:  2019-10-29       Impact factor: 3.495

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