TY - JOUR
T1 - Precision medicine and actionable alterations in lung cancer
T2 - A single institution experience
AU - Mambetsariev, Isa
AU - Wang, Yingyu
AU - Chen, Chen
AU - Nadaf, Sorena
AU - Pharaon, Rebecca
AU - Fricke, Jeremy
AU - Amanam, Idoroenyi
AU - Amini, Arya
AU - Bild, Andrea
AU - Chu, Peiguo
AU - Erhunmwunsee, Loretta
AU - Kim, Jae
AU - Munu, Janet
AU - Pillai, Raju
AU - Raz, Dan
AU - Sampath, Sagus
AU - Vora, Lalit
AU - Qiu, Fang
AU - Smith, Lynette
AU - Batra, Surinder K.
AU - Massarelli, Erminia
AU - Koczywas, Marianna
AU - Reckamp, Karen
AU - Salgia, Ravi
N1 - Publisher Copyright:
© 2020 Mambetsariev et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Objectives Oncology 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 methods In 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. Results Of 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 (P<0.001). We identified an unprecedented number of actionable alterations [53.5% (222/ 415)], including distinct individual alteration rates, as compared with 15.0% and 22.3% in TCGA and GENIE respectively. Conclusion The 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.
AB - Objectives Oncology 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 methods In 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. Results Of 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 (P<0.001). We identified an unprecedented number of actionable alterations [53.5% (222/ 415)], including distinct individual alteration rates, as compared with 15.0% and 22.3% in TCGA and GENIE respectively. Conclusion The 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.
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U2 - 10.1371/journal.pone.0228188
DO - 10.1371/journal.pone.0228188
M3 - Article
C2 - 32045431
AN - SCOPUS:85079310889
SN - 1932-6203
VL - 15
JO - PloS one
JF - PloS one
IS - 2
M1 - e0228188
ER -