bioRxivImmunologyPreprint
Killer-cell dominance dichotomy governs tumor immune networks and stratifies inflamed cancers
Anlin Li, Zhixin Yu, Wei ZhangiD, H J ChangiD, Sirui Feng, Xuan YangiD, Kangqiao XiongiD, Lina HeiD, Zerui Zhao, Lujun SheniD, Zihui Tan, Wei DuiD, L Y Zhong, Xu Zhang, Yun HuiD, Xiaodong SuiD, Ruiping WangiD, Sha FuiD, Li ZhangiD, Shaodong HongiD
Abstract
Cancer immunotherapy benefits remain limited, even among "hot" tumors with high killer lymphocyte infiltration. Here, we investigated the population-level architecture of killer cells based on nearly 5,000 pan-cancer scRNA-seq samples, together with orthogonal validation by spectral cytometry and spatial transcriptomics. Unlike the prevailing "hot-cold" paradigm, which assumes coordinated infiltration of multiple cytotoxic lineages, we uncovered a conserved framework wherein terminal cytotoxic immunity in individuals or malignancies diverges into states dominated by either exhausted CD8+ T cells (Tex) or CD56dimCD16hi NK (NK1) cells. Despite the complexity of the tumor microenvironment, Tex-NK1 divergence governs the primary axis of tumor-intrinsic and tumor-extrinsic variance. Distinct from the conventional view that NK cells positively contribute to immunotherapy efficacy, NK1-skewed tumors, although highly cytolytic, are refractory to current immune checkpoint blockade regimens. This killer divergence defines a foundational axis of cancer immunity and provides a resource for prioritizing next-generation targets for NK-directed immunotherapy.
- organism: human
- assay: scRNA-seq
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- approach: deep learning
- approach: statistical model
- Citations
- 0
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