Article

Turep: Detecting cross-cancer tumor-reactive T cells in single-cell and spatial transcriptomics data

2026-04-24

Abstract excerpt

Tumor-infiltrating lymphocytes are essential for anti-tumor immunity, yet distinguishing tumor-reactive T cells from non-reactive bystander cells remains a significant challenge. Existing signatures, often derived from single cohorts, lack robustness in cross-cancer prediction. We present Turep, a deep learning method designed for robust, cross-cancer prediction of tumor-reactive T cells using single-cell or spati...

Topics

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

Identifiers and source

Literature Corpus work: 7bac21a1-ea08-5f7c-8dad-9040cfc02c43
DOI: 10.64898/2026.04.21.719961

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Turep: Detecting cross-cancer tumor-reactive T cells in single-cell and spatial transcriptomics dataDOI 10.64898/2026.04.21.719961Read

Characterization of Cancer-Reactive T Cells and Neoantigen-specific T Cell ReceptorsSemantic proximity Read

Tumor reactivity assessment using clonal expression (TRACE) reveals tumor reactive CD8 <sup>+</sup> T cell heterogeneity across solid tumorsSemantic proximity Read

Multimodal single-cell profiling of T cell specificity and reactivity in lung cancerSemantic proximity Read

Projecting single-cell transcriptomics data onto a reference T cell atlas to interpret immune responsesSemantic proximity Read

TSTScope Unifies Single-Cell Multi-Omics to Identify Functional T Cell States Predictive of Immunotherapy ResponseSemantic proximity Read

Molecular signatures of antitumor neoantigen-reactive T cells from metastatic human cancersSemantic proximity Read

scRNA+ TCR-seq revealed dual TCR T cells antitumor response in the TME of NSCLCSemantic proximity Read

Induced B-Cell Receptor Diversity Predicts PD-1 Blockade Immunotherapy ResponseSemantic proximity Read

Tumor cell specific total mRNA expression informed neural networks predicts cancer progressionSemantic proximity Read

CaSee: A lightning transfer-learning model directly used to discriminate cancer/normal cells from scRNA-seqSemantic proximity Read

Single-cell spatial multiomics reveals tumor microenvironment vulnerabilities in cancer resistance to immunotherapySemantic proximity Read

Landscape of tumor-infiltrating T cell repertoire of human cancers.Semantic proximity Read