J Cancer 2019; 10(1):211-222. doi:10.7150/jca.26444 This issue

Research Paper

Deciphering Microenvironment of NSCLC based on CD8+ TIL Density and PD-1/PD-L1 Expression

Ziying Lin1,2,*, Jincui Gu1,*, Xiaoxian Cui1,2,*, Lixia Huang1, ShaoLi Li1, Jinlun Feng1,2, Baomo Liu1,2, Yanbin Zhou1✉

1. Department of Respiratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China;
2. Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
*These authors have contributed equally to this work

This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Lin Z, Gu J, Cui X, Huang L, Li S, Feng J, Liu B, Zhou Y. Deciphering Microenvironment of NSCLC based on CD8+ TIL Density and PD-1/PD-L1 Expression. J Cancer 2019; 10(1):211-222. doi:10.7150/jca.26444. Available from https://www.jcancer.org/v10p0211.htm

File import instruction


Purpose: To determine whether distinct tissue immune microenvironments differentially impact on clinical outcome in non-small cell lung cancer (NSCLC), an extended analysis of PD-1/PD-L1 and Tumor Infiltrating Lymphocytes (TILs) was performed.

Materials and Methods: 1016 NSCLC mRNA-sequence samples from The Genome Data Analysis Center (TCGA) and 275 NSCLC mRNA-microarray samples from Gene Expression Omnibus (GEO) were included as testing cohort and validation cohort respectively. Enrichment scores of CD8+ T cells' metagene were used for quantifying its infiltrating density. Based on the median values of CD8+ T cell density and PD-1/PD-L1 mRNA expression, the samples were classified into four Tumor Immune Microenvironment types (TIMTs). Overall survival, as well as clinicopathological features, mutational profiles, mismatch repair score etc. were compared across the four types.

Results: Neither PD-1 expression nor PD-L1 expression was associated with outcome in the overall NSCLC. Classification of TIMT based on PD-1/PD-L1 and CD8+ TIL could efficiently classify patients of different survival in ADC but not SCC, with the best overall survival achieved in TIMT3 (high CD8+ TIL and low PD-1/PD-L1), whereas TIMT2 (low CD8+ TIL and high PD-1/PD-L1) manifested the worst outcome. TIMT classification based on PD-1/ CD8+ TIL could better stratify patient of different prognosis than PD-L1/ CD8+ TIL based classification. EGFR wide type and IFNγ overexpression were associated with TIMT4 (high PD-1/PD-L1 and high CD8+ TIL), whereas tumor mutational burden (TMB) manifested no significant difference across four TIMTs.

Conclusion: The classification of tumors into four microenvironment subtypes based on PD-1/PD-L1 status and CD8+ TIL is an appropriate approach to stratify patients of different clinical outcome and better guide the practical use of immunotherapy.

Keywords: non-small-cell lung cancer (NSCLC), programmed cell death-1 (PD-1), programmed cell death-ligand 1 (PD-L1), tumor microenvironment, survival