Genomic features and tumor immune microenvironment alteration in NSCLC treated with neoadjuvant PD-1 blockade

Shuhang Wang1, Pei Yuan2, Beibei Mao3

  • 1Clinical Trial Center, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, 100021, Beijing, China.

NPJ Precision Oncology
|January 14, 2022
PubMed

Insights

This study reveals that PD-L1 expression and copy number gain predict response to neoadjuvant immunotherapy in non-small cell lung cancer (NSCLC). Changes in immune cells like CD8+ T cells and B cells also indicate treatment effectiveness.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Neoadjuvant PD-1/PD-L1 inhibitors show promise in resectable non-small cell lung cancer (NSCLC), but patient response varies significantly.
  • Predictive biomarkers are crucial for optimizing neoadjuvant immunotherapy in NSCLC.

Purpose of the Study:

  • To assess the association of PD-L1 expression, tumor mutation burden (TMB), and copy number alteration (CNA) burden with pathological response to neoadjuvant PD-1 blockade in NSCLC.
  • To investigate changes in the tumor immune microenvironment (TIME) during neoadjuvant immunotherapy.

Main Methods:

  • Targeted DNA sequencing and PD-L1 immunohistochemistry on pre-treatment NSCLC tumor samples from 29 patients receiving sintilimab (anti-PD-1).
  • Analysis of pathological response, including major pathological response (MPR).
  • Multiplex immunofluorescence to evaluate changes in immune cell populations within the TIME.

Main Results:

  • Pathological response positively correlated with PD-L1 tumor proportion score (TPS) and negatively with copy number gain (CNgain) burden.
  • Combined CNgain burden and TPS better stratified MPR patients than either marker alone; TMB showed limited correlation.
  • PD-1 blockade increased CD8+PD-1- T cells and decreased CD19+ B cells in non-MPR patients, suggesting their role in treatment response.

Conclusions:

  • PD-L1 expression and genomic factors like CNgain burden are associated with pathological response to neoadjuvant immunotherapy in NSCLC.
  • Changes in the tumor immune microenvironment, including T cell and B cell dynamics, offer insights into treatment efficacy.
  • This study provides data to improve patient stratification for neoadjuvant anti-PD-1 therapy in NSCLC.

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