Back to search

Article

A machining learning-based prognostic model integrating multi-omics defines LGMN as a lysosomal checkpoint on macrophages with co- expressed myeloid checkpoints TIM-3 and LILRB4 associated with immunotherapy resistance in NSCLC

2026-06-23

Abstract excerpt

<title>Abstract</title> <p>Nonsmall cell lung cancer (NSCLC) remains largely refractory to immune checkpoint inhibitors (ICIs), particularly in EGFRmutant disease. Here we integrate singlecell, spatial, and bulk transcriptomics from multiple independent cohorts to dissect the tumor microenvironment of immunotherapytreated NSCLC, with crosscancer validation in external and other cancer cohorts. We identify a disti...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
f174bda2-d34e-57d7-9ef0-bbf65ca07552
DOI
10.21203/rs.3.rs-10103736/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A machining learning-based prognostic model integrating multi-omics defines LGMN as a lysosomal checkpoint on macrophages with co- expressed myeloid checkpoints TIM-3 and LILRB4 associated with immunotherapy resistance in NSCLCDOI 10.21203/rs.3.rs-10103736/v1
Select a neighboring publication to make it the new centre.