A macrophage MHC-I axis links intratumoral heterogeneity to terminal CD8+ T cell exhaustion in lung adenocarcinoma
Year: 2026
Type: article
Study design: Observational Study
Abstract: We integrated bulk, single-cell, and spatial transcriptomics to test whether intratumoral heterogeneity (ITH) aggravates CD8 + T-cell exhaustion (TEX) in lung adenocarcinoma. In bulk cohorts, ITH and TEX were tightly coupled, with ITH-High tumors preferentially exhibiting deeper TEX phenotypes. This dually adverse (high ITH/high TEX) context was associated with increased antigenicity (higher TMB, predicted neoantigen and cancer/testis antigen scores) but reduced TCR diversity, lower global immune/stromal infiltration, more aggressive clinicogenomic features, and poorer survival. Joint ITH-TEX stratification further revealed an additive prognostic effect, with dual-low (low ITH/low TEX) best and dual-high (high ITH/high TEX) worst outcomes. Single-cell analyses implicated macrophages: ITH-High tumors exhibited coordinated upregulation of classical MHC-I antigen-presentation programs (processing/loading; HLA-A/B/C signaling), stronger macrophage→TEX communication, and enrichment of terminal TEX states. Spatially, in ITH-High tumors, TEX co-localized more closely with MHC-I high macrophage niches than with macrophages overall, whereas in ITH-Low tumors this proximity was attenuated. B cells showed increased TEX communication but inconsistent MHC-I state spatial coupling, while dendritic cells showed high proximity without ITH-dependent communication increases and weakened colocalization when restricted to MHC-I high . We also derived a six-gene decision-tree classifier ( CDC45 , CENPF , PCLAF , SCGB3A1 , CDCA8 , and NDC80 ) predicting ITH/TEX phenotypes. These data support a macrophage MHC-I axis linking ITH to terminal TEX and motivate combining checkpoint blockade with macrophage reprogramming or modulation of antigen-processing and presentation.
Source: npj Precision Oncology
Authors: Shangzhen Yin, Haiyan Gao, Qiang Li, Mengrui Wang, Peng Zhang, Yurou Guo, Pengyu Nan, Weihao Kong, Hongmei Shen, Liqiang Wang, Jianping Lu
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,090
Award: G7331537625
OpenAlex ID: W7155540260
