Tumor microenvironment assessment-based signatures for predicting response to immunotherapy in non-small cell lung cancer
Release date:
2024-06-07
Description:
Immune checkpoint blockades (ICBs) have significantly altered the treatment paradigm for patients with non-small cell lung cancer (NSCLC) without driver mutations, but not all patients experience durable benefits. Predictive biomarkers are needed to identify patients who may benefit from ICBs. We obtained tumor specimens from NSCLC patients before anti-PD-1 inhibitor treatment and performed transcriptomic analysis to generate tumor microenvironment characteristics. Based on tumor microenvironment data, we sought to establish biomarker to predict immunotherapy efficacy for NSCLC.
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HRA003748.xlsx