PLoS ONE (Jan 2020)

Precision medicine and actionable alterations in lung cancer: A single institution experience.

  • Isa Mambetsariev,
  • Yingyu Wang,
  • Chen Chen,
  • Sorena Nadaf,
  • Rebecca Pharaon,
  • Jeremy Fricke,
  • Idoroenyi Amanam,
  • Arya Amini,
  • Andrea Bild,
  • Peiguo Chu,
  • Loretta Erhunmwunsee,
  • Jae Kim,
  • Janet Munu,
  • Raju Pillai,
  • Dan Raz,
  • Sagus Sampath,
  • Lalit Vora,
  • Fang Qiu,
  • Lynette Smith,
  • Surinder K Batra,
  • Erminia Massarelli,
  • Marianna Koczywas,
  • Karen Reckamp,
  • Ravi Salgia

DOI
https://doi.org/10.1371/journal.pone.0228188
Journal volume & issue
Vol. 15, no. 2
p. e0228188

Abstract

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ObjectivesOncology has become more reliant on new testing methods and a greater use of electronic medical records, which provide a plethora of information available to physicians and researchers. However, to take advantage of vital clinical and research data for precision medicine, we must initially make an effort to create an infrastructure for the collection, storage, and utilization of this information with uniquely designed disease-specific registries that could support the collection of a large number of patients.Materials and methodsIn this study, we perform an in-depth analysis of a series of lung adenocarcinoma patients (n = 415) with genomic and clinical data in a recently created thoracic patient registry.ResultsOf the 415 patients with lung adenocarcinoma, 59% (n = 245) were female; the median age was 64 (range, 22-92) years with a median OS of 33.29 months (95% CI, 29.77-39.48). The most common actionable alterations were identified in EGFR (n = 177/415 [42.7%]), ALK (n = 28/377 [7.4%]), and BRAF V600E (n = 7/288 [2.4%]). There was also a discernible difference in survival for 222 patients, who had an actionable alteration, with a median OS of 39.8 months as compared to 193 wild-type patients with a median OS of 26.0 months (PConclusionThe use of patient registries, focused genomic panels and the appropriate use of clinical guidelines in community and academic settings may influence cohort selection for clinical trials and improve survival outcomes.