Publication
Title
The relationship between tumor-infiltrating lymphocytes, PD-L1 expression, driver mutations and clinical outcome parameters in non-small cell lung cancer adenocarcinoma in patients with a limited to no smoking history
Author
Abstract
Tumor infiltrating lymphocytes (TIL), programmed death 1 (PD-1) and programmed death-ligand 1 (PD-L1) expression are important prognostic markers. This study aimed to investigate these markers in lung adenocarcinoma (ADC) biopsies from patients with stage IIIB or IV ADC with little or no smoking history, to investigate their prognostic value and to correlate these results with the presence of driver mutations in the tumors. TIL were retrospectively evaluated on hematoxylin and eosin stained slides from 152 tumor samples. PD-1/PD-L1 expression was retrospectively evaluated with PD-1/PD-L1 immunohistochemistry (IHC) double staining on 74 tumor samples with sufficient residual tissue. PD-L1 expression was analysed on stromal cells of the tumor compartment, the tumor cells and TIL and PD-1 on TIL. Median overall survival (OS) was longer in patients with high stromal TIL infiltration compared to patients with low stromal TIL infiltration (68 weeks vs. 35 weeks respectively; p = 0.003). This was observed most prominently in KRAS mutant tumors (95 weeks vs. 12 weeks; p = 0.003). Only PD-L1 expression on tumor stromal cells influenced OS and indicated a worse prognosis (77 weeks vs 25 weeks; p = 0.013). Stromal TIL counts nor PD-1/PD-L1 expression levels were associated with the presence of driver mutations. The results of the current study reinforce the prognostic role of TIL in lung ADC, which is most prominent in KRAS mutant cancers. The results of the PD-1/PD-L1 analysis suggest that stromal cells can effectively suppress the anti-tumor immune response via the PD-L1 pathway.
Language
English
Source (journal)
Pathology and oncology research. - Place of publication unknown
Publication
Place of publication unknown : 2020
ISSN
1219-4956 [print]
1532-2807 [online]
DOI
10.1007/S12253-019-00670-9
Volume/pages
26 :2 (2020) , p. 1221-1228
ISI
000534817900067
Pubmed ID
31228073
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identifier
Creation 05.06.2020
Last edited 29.11.2024
To cite this reference