ArticleScientific reports2026
Identification of core cytotoxic T lymphocyte-related subtypes, establishment of a prognostic model, and analysis tumor microenvironment infiltration in HNSC.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Head and neck squamous cell carcinoma (HNSC) is a common and clinically diverse malignancy associated with poor outcomes. Recent evidence suggests that cytotoxic T lymphocyte evasion-related genes (CEGs) are pivotal regulators of tumor immune escape, yet their overall prognostic significance and influence on the tumor microenvironment (TME) in HNSC remain poorly defined. Here, a systematic analysis of 31 CEGs was conducted across TCGA and GEO HNSC datasets to identify molecular subtypes via consensus clustering. A risk score based on this signature was developed, validated in external cohorts, and integrated with clinical data into a nomogram. Associations between the risk score and TME features, immune checkpoints, somatic mutations, cancer stemness indices, and drug sensitivity were comprehensively assessed. The identified molecular subtypes exhibited markedly different immune infiltration patterns and survival outcomes. The developed model enabled effective patient stratification into high- and low-risk groups that differed significantly in overall survival. High-risk patients displayed upregulated immune checkpoint expression and heightened sensitivity to several chemotherapeutic agents. Knockdown of SERPINE1 in HNSC cell lines led to marked inhibition of both proliferation and colony formation. The findings demonstrate the critical involvement of CEGs in HNSC progression and immune modulation, and proposes a novel three-gene signature as a robust prognostic biomarker and potential guide for individualized therapy.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.