In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 8 ( 2022-8-18), p. e0273207-
Kurzfassung:
We aimed to evaluate whether different driver mutations have varying impacts on the programmed cell death-ligand 1 (PD-L1) expression of non-small cell lung cancer (NSCLC), and whether the prognostic roles of PD-L1 amongst our patients were divergent. This was a single-institute study that included patients with NSCLC. Six driver mutations, PD-L1 status, and the outcomes of treatment were assessed. A total of 1,001 NSCLC patients were included for analysis. Overall, the PD-L1 positive (TPS ≥ 1%) and strong positive (TPS ≥ 50%) rates were 52.2% and 17.3%, respectively. As compared with wild type lung adenocarcinoma, EGFR -mutant and HER2 -mutant patients had similarly low PD-L1 and strong PD-L1 positive rates. BRAF -mutant patients had numerically higher PD-L1 and strong PD-L1 positive rates. Patients with fusion mutation ( ALK and ROS1 ) (aOR 2.32 [95% CI 1.10–4.88], P = 0.027 and 2.33 [95% CI 1.11–4.89] , P = 0.026), KRAS mutation (aOR 2.58 [95% CI 1.16–5.75], P = 0.020 and 2.44 [95% CI 1.11–5.35] , P = 0.026), and non-adenocarcinoma histology (aOR 2.73 [95% CI 1.72–4.34], P 〈 0.001 and 1.93 [95% CI 1.13–3.30], P = 0.016) all had significantly higher PD-L1 and strong PD-L1 positive rates. A trend towards longer survival was noted in ROS-1 rearranged and KRAS -mutant patients with strong PD-L1 expression who had received crizotinib and chemotherapy, respectively. In conclusion, individual driver mutations had various impacts on the PD-L1 expression of NSCLC patients. The prognostic role of PD-L1 may also be divergent amongst patients harboring different driver mutations.
Materialart:
Online-Ressource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0273207
DOI:
10.1371/journal.pone.0273207.g001
DOI:
10.1371/journal.pone.0273207.g002
DOI:
10.1371/journal.pone.0273207.t001
DOI:
10.1371/journal.pone.0273207.t002
DOI:
10.1371/journal.pone.0273207.t003
DOI:
10.1371/journal.pone.0273207.t004
DOI:
10.1371/journal.pone.0273207.s001
Sprache:
Englisch
Verlag:
Public Library of Science (PLoS)
Publikationsdatum:
2022
ZDB Id:
2267670-3