| Literature DB >> 33234578 |
Daniel V T Catenacci1, Stephanie Moya2, Samantha Lomnicki2, Leah M Chase2, Bryan F Peterson2, Natalie Reizine2, Lindsay Alpert3, Namrata Setia3, Shu-Yuan Xiao3, John Hart3, Uzma D Siddiqui4, D Kyle Hogarth5, Oliver S Eng6, Kiran Turaga6, Kevin Roggin6, Mitchell C Posner6, Paul Chang7, Sunil Narula8, Murtuza Rampurwala9, Yuan Ji10, Theodore Karrison10, Chih-Yi Liao2, Blase N Polite2, Hedy L Kindler2.
Abstract
The one-year and median overall survival (mOS) rates of advanced gastroesophageal adenocarcinomas (GEA) are ∼50% and <12 months, respectively. Baseline spatial and temporal molecular heterogeneity of targetable alterations may be a cause of failure of targeted/immunooncologic therapies. This heterogeneity, coupled with infrequent incidence of some biomarkers, has resulted in stalled therapeutic progress. We hypothesized that a personalized treatment strategy, applied at first diagnosis then serially over up to three treatment lines using monoclonal antibodies combined with optimally sequenced chemotherapy, could contend with these hurdles. This was tested using a novel clinical expansion-platform type II design with a survival primary endpoint. Of 68 patients by intention-to-treat, the one-year survival rate was 66% and mOS was 15.7 months, meeting the primary efficacy endpoint (one-sided P = 0.0024). First-line response rate (74%), disease control rate (99%), and median progression-free survival (8.2 months) were superior to historical controls. The PANGEA strategy led to improved outcomes warranting a larger randomized study. SIGNIFICANCE: This study highlights excellent outcomes achieved by individually optimizing chemotherapy, biomarker profiling, and matching of targeted therapies at baseline and over time for GEA. Testing a predefined treatment strategy resulted in improved outcomes versus historical controls. Therapeutic resistance observed in correlative analyses suggests that dual targeted inhibition may be beneficial.This article is highlighted in the In This Issue feature, p. 211. ©2020 American Association for Cancer Research.Entities:
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Year: 2020 PMID: 33234578 PMCID: PMC7858231 DOI: 10.1158/2159-8290.CD-20-1408
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397