Literature DB >> 33970688

Accessing Targeted Therapies: A Potential Roadblock to Implementing Precision Oncology?

Mitchell S von Itzstein1,2, Mary L Smith3, Elda Railey3, Carol B White3,4, Julianne S Dieterich3,4, Liz Garrett-Mayer5, Suanna S Bruinooge5, Andrew N Freedman6, Janet De Moor6, Stacy W Gray7, Jason Y Park8, Jingsheng Yan9, Anh Quynh Hoang9, Hong Zhu9, David E Gerber1,2,3,9.   

Abstract

PURPOSE: Advances in genomic techniques have led to increased use of next-generation sequencing (NGS). We evaluated the extent to which these tests guide treatment decisions.
METHODS: We developed and distributed a survey assessing NGS use and outcomes to a survey pool of ASCO members. Comparisons between groups were performed with Wilcoxon two-sample, chi-square, and Fisher's exact tests.
RESULTS: Among 178 respondents, 62% were male, 54% White, and 67% affiliated with academic centers. More than half (56%) indicated that NGS provided actionable information to a moderate or great extent. Use was highest (median ≥ 70% of cases) for lung and gastric cancer, and lowest (median < 25% of cases) in head and neck and genitourinary cancers. Approximately one third of respondents reported that, despite identification of an actionable molecular variant, patients were sometimes or often unable to access the relevant US Food and Drug Administration-approved therapy. When NGS did not provide actionable results, individuals reporting great or moderate guidance overall from NGS in treatment recommendations were more likely to request the compassionate use of an unapproved drug (P < .001), enroll on a clinical trial (P < .01), or treat off-label with a drug approved for another indication (P = .02).
CONCLUSION: When NGS identifies an actionable result, a substantial proportion of clinicians reported encountering challenges obtaining approved therapies on the basis of these results. Perceived overall impact of NGS appears associated with clinical behavior unrelated to actionable NGS test results, including pursuing off-label or compassionate use of unapproved therapies or referring to a clinical trial.

Entities:  

Mesh:

Year:  2021        PMID: 33970688      PMCID: PMC8462665          DOI: 10.1200/OP.20.00927

Source DB:  PubMed          Journal:  JCO Oncol Pract        ISSN: 2688-1527


  23 in total

1.  Next-Generation Sequencing for the Identification of Targetable Molecular Alterations in Cancer.

Authors:  Martin F Dietrich; Robert H Collins; David E Gerber
Journal:  JAMA Oncol       Date:  2016-01       Impact factor: 31.777

2.  Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

Authors:  Paul A Harris; Robert Taylor; Robert Thielke; Jonathon Payne; Nathaniel Gonzalez; Jose G Conde
Journal:  J Biomed Inform       Date:  2008-09-30       Impact factor: 6.317

3.  Should next-generation sequencing tests be performed on all cancer patients?

Authors:  Andrew J McKenzie; Holli H Dilks; Suzanne F Jones; Howard Burris
Journal:  Expert Rev Mol Diagn       Date:  2019-01-09       Impact factor: 5.225

Review 4.  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

5.  Whole-Exome Sequencing of Metastatic Cancer and Biomarkers of Treatment Response.

Authors:  Himisha Beltran; Kenneth Eng; Juan Miguel Mosquera; Alexandros Sigaras; Alessandro Romanel; Hanna Rennert; Myriam Kossai; Chantal Pauli; Bishoy Faltas; Jacqueline Fontugne; Kyung Park; Jason Banfelder; Davide Prandi; Neel Madhukar; Tuo Zhang; Jessica Padilla; Noah Greco; Terra J McNary; Erick Herrscher; David Wilkes; Theresa Y MacDonald; Hui Xue; Vladimir Vacic; Anne-Katrin Emde; Dayna Oschwald; Adrian Y Tan; Zhengming Chen; Colin Collins; Martin E Gleave; Yuzhuo Wang; Dimple Chakravarty; Marc Schiffman; Robert Kim; Fabien Campagne; Brian D Robinson; David M Nanus; Scott T Tagawa; Jenny Z Xiang; Agata Smogorzewska; Francesca Demichelis; David S Rickman; Andrea Sboner; Olivier Elemento; Mark A Rubin
Journal:  JAMA Oncol       Date:  2015-07       Impact factor: 31.777

Review 6.  Application of next-generation sequencing to improve cancer management: A review of the clinical effectiveness and cost-effectiveness.

Authors:  O Tan; R Shrestha; M Cunich; D J Schofield
Journal:  Clin Genet       Date:  2018-02-08       Impact factor: 4.438

7.  Feasibility of Large-Scale Genomic Testing to Facilitate Enrollment Onto Genomically Matched Clinical Trials.

Authors:  Funda Meric-Bernstam; Lauren Brusco; Kenna Shaw; Chacha Horombe; Scott Kopetz; Michael A Davies; Mark Routbort; Sarina A Piha-Paul; Filip Janku; Naoto Ueno; David Hong; John De Groot; Vinod Ravi; Yisheng Li; Raja Luthra; Keyur Patel; Russell Broaddus; John Mendelsohn; Gordon B Mills
Journal:  J Clin Oncol       Date:  2015-05-26       Impact factor: 44.544

Review 8.  Molecular targeted therapy: Treating cancer with specificity.

Authors:  Yeuan Ting Lee; Yi Jer Tan; Chern Ein Oon
Journal:  Eur J Pharmacol       Date:  2018-07-20       Impact factor: 4.432

9.  Participation in cancer clinical trials: race-, sex-, and age-based disparities.

Authors:  Vivek H Murthy; Harlan M Krumholz; Cary P Gross
Journal:  JAMA       Date:  2004-06-09       Impact factor: 56.272

10.  A virtual molecular tumor board to improve efficiency and scalability of delivering precision oncology to physicians and their patients.

Authors:  Michael J Pishvaian; Edik M Blais; R Joseph Bender; Shruti Rao; Simina M Boca; Vincent Chung; Andrew E Hendifar; Sam Mikhail; Davendra P S Sohal; Paula R Pohlmann; Kathleen N Moore; Kai He; Bradley J Monk; Robert L Coleman; Thomas J Herzog; David D Halverson; Patricia DeArbeloa; Emanuel F Petricoin; Subha Madhavan
Journal:  JAMIA Open       Date:  2019-10-07
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