Literature DB >> 24721645

Blood mRNA expression profiling predicts survival in patients treated with tremelimumab.

Yvonne Saenger1, Jay Magidson2, Bobby Liaw2, Ellen de Moll2, Sara Harcharik2, Yichun Fu2, Karl Wassmann2, David Fisher2, John Kirkwood2, William K Oh2, Philip Friedlander3.   

Abstract

PURPOSE: Tremelimumab (ticilimumab, Pfizer), is a monoclonal antibody (mAb) targeting cytotoxic T lymphocyte-associated antigen-4 (CTLA-4). Ipilimumab (Yervoy, BMS), another anti-CTLA-4 antibody, is approved by the U.S. Federal Drug Administration (FDA). Biomarkers are needed to identify the subset of patients who will achieve tumor control with CTLA-4 blockade. EXPERIMENTAL
DESIGN: Pretreatment peripheral blood samples from 218 patients with melanoma who were refractory to prior therapy and receiving tremelimumab in a multicenter phase II study were measured for 169 mRNA transcripts using reverse transcription polymerase chain reaction (RT-PCR). A two-class latent model yielded a risk score based on four genes that were highly predictive of survival (P < 0.001). This signature was validated in an independent population of 260 treatment-naïve patients with melanoma enrolled in a multicenter phase III study of tremelimumab.
RESULTS: Median follow-up was 297 days for the training population and 386 days for the test population. Expression levels of the 169 genes were closely correlated across the two populations (r = 0.9939). A four-gene model, including cathepsin D (CTSD), phopholipase A2 group VII (PLA2G7), thioredoxin reductase 1 (TXNRD1), and interleukin 1 receptor-associated kinase 3 (IRAK3), predicted survival in the test population (P = 0.001 by log-rank test). This four-gene model added to the predictive value of clinical predictors (P < 0.0001).
CONCLUSIONS: Expression levels of CTSD, PLA2G7, TXNRD1, and IRAK3 in peripheral blood are predictive of survival in patients with melanoma treated with tremelimumab. Blood mRNA signatures should be further explored to define patient subsets likely to benefit from immunotherapy. ©2014 American Association for Cancer Research.

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Year:  2014        PMID: 24721645     DOI: 10.1158/1078-0432.CCR-13-2906

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  16 in total

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Review 3.  Biomarkers Predictive of Survival and Response to Immune Checkpoint Inhibitors in Melanoma.

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Review 4.  Lipoprotein-associated phospholipase A2: The story continues.

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6.  Transcriptional profiling of whole blood: a rich source of immune biomarkers in cancer.

Authors:  Y Saenger; E de Moll; Y Fu
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Authors:  Charissa A C Jessurun; Julien A M Vos; Jacqueline Limpens; Rosalie M Luiten
Journal:  Front Oncol       Date:  2017-09-27       Impact factor: 6.244

10.  Whole-blood RNA transcript-based models can predict clinical response in two large independent clinical studies of patients with advanced melanoma treated with the checkpoint inhibitor, tremelimumab.

Authors:  Philip Friedlander; Karl Wassmann; Alan M Christenfeld; David Fisher; Chrisann Kyi; John M Kirkwood; Nina Bhardwaj; William K Oh
Journal:  J Immunother Cancer       Date:  2017-08-15       Impact factor: 13.751

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