Literature DB >> 31011205

Genomic and transcriptomic profiling expands precision cancer medicine: the WINTHER trial.

Jordi Rodon1,2, Jean-Charles Soria3, Raanan Berger4, Wilson H Miller5, Eitan Rubin6, Aleksandra Kugel6, Apostolia Tsimberidou2, Pierre Saintigny7, Aliza Ackerstein4, Irene Braña1, Yohann Loriot3, Mohammad Afshar8, Vincent Miller9, Fanny Wunder10, Catherine Bresson10, Jean-François Martini11, Jacques Raynaud12, John Mendelsohn10,13, Gerald Batist5, Amir Onn4, Josep Tabernero1, Richard L Schilsky10,14, Vladimir Lazar10, J Jack Lee15, Razelle Kurzrock16,17.   

Abstract

Precision medicine focuses on DNA abnormalities, but not all tumors have tractable genomic alterations. The WINTHER trial ( NCT01856296 ) navigated patients to therapy on the basis of fresh biopsy-derived DNA sequencing (arm A; 236 gene panel) or RNA expression (arm B; comparing tumor to normal). The clinical management committee (investigators from five countries) recommended therapies, prioritizing genomic matches; physicians determined the therapy given. Matching scores were calculated post-hoc for each patient, according to drugs received: for DNA, the number of alterations matched divided by the total alteration number; for RNA, expression-matched drug ranks. Overall, 303 patients consented; 107 (35%; 69 in arm A and 38 in arm B) were evaluable for therapy. The median number of previous therapies was three. The most common diagnoses were colon, head and neck, and lung cancers. Among the 107 patients, the rate of stable disease ≥6 months and partial or complete response was 26.2% (arm A: 23.2%; arm B: 31.6% (P = 0.37)). The patient proportion with WINTHER versus previous therapy progression-free survival ratio of >1.5 was 22.4%, which did not meet the pre-specified primary end point. Fewer previous therapies, better performance status and higher matching score correlated with longer progression-free survival (all P < 0.05, multivariate). Our study shows that genomic and transcriptomic profiling are both useful for improving therapy recommendations and patient outcome, and expands personalized cancer treatment.

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Year:  2019        PMID: 31011205      PMCID: PMC6599610          DOI: 10.1038/s41591-019-0424-4

Source DB:  PubMed          Journal:  Nat Med        ISSN: 1078-8956            Impact factor:   53.440


  38 in total

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Journal:  Science       Date:  2017-06-08       Impact factor: 47.728

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Journal:  Nature       Date:  2013-10-17       Impact factor: 49.962

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5.  The Pros and Cons of Incorporating Transcriptomics in the Age of Precision Oncology.

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6.  Transcriptomics-Guided Personalized Prescription of Targeted Therapeutics for Metastatic ALK-Positive Lung Cancer Case Following Recurrence on ALK Inhibitors.

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