Digital gene expression analysis of NSCLC-patients reveals strong immune pressure, resulting in an immune escape under immunotherapy.

ABSTRACT:

Background

Immune checkpoint inhibitors (ICIs) are currently one of the most promising therapy options in the field of oncology. Although the first pivotal ICI trial results were published in 2011, few biomarkers exist to predict their therapy outcome. PD-L1 expression and tumor mutational burden (TMB) were proven to be sometimes-unreliable biomarkers. We have previously suggested the analysis of processing escapes, a qualitative measurement of epitope structure alterations under immune system pressure, to provide predictive information on ICI response. Here, we sought to further validate this approach and characterize interactions with different forms of immune pressure.

Methods

We identified a cohort consisting of 48 patients with advanced non-small cell lung cancer (NSCLC

SUBMITTER: Wessolly M 

PROVIDER: S-EPMC8740040 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature