Evidence map›Paper›PMID 41621040›Full record

ArticleDiscover oncology2026

Single-cell and Mendelian analyses reveal shared mechanisms between head and neck neoplasms and aging.

Chen Sun, Xinlei Chen, Jinzhao Li, Lirong Hu, Rui Shi, Chunhui Li, Canli Wang

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Chen Sun *Department of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China.
Xinlei Chen *School of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Jinzhao Li *School of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Lirong Hu *School of Stomatology, Southwest Medical University, Luzhou, Sichuan, China.
Rui ShiDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China. 1525603229@qq.com.
Chunhui LiDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China. lch10221022@163.com.
Canli WangDepartment of Periodontics and Oral Mucosal Diseases, The Affiliated Stomatology Hospital, Southwest Medical University, Luzhou, Sichuan, China. 1324045872@qq.com.

Funding

Stomatology Hospital Affiliated to Southwest Medical University NO. 201905Stomatology Hospital Affiliated to Southwest Medical University NO. 2023Y06
6 · The paper itself

Abstract

objectiveThis study aims to explore shared key genes between head and neck neoplasm (HNN) and aging.

methodsUsing single-cell RNA sequencing data of peripheral blood from HNSCC patients, aging individuals, and healthy controls, we identified cross-group co-expressed, downregulated cell subpopulations as core targets. Integrated pseudotime trajectory analysis and intercellular communication modeling were employed to investigate the dynamic evolution and functional interaction patterns of these subpopulations. Differentially expressed genes were identified, followed by Mendelian randomization (MR) analysis to assess their causal associations with HNN. Co-localization analysis was performed using GWAS data for HNN and expression quantitative trait loci (eQTL) datasets. Key genes were further subjected to metabolic pathway enrichment analysis.

resultsT cell subsets were found to be represented in both HNN and aging. Among them, CD4_naive T cells were down-regulated in both groups, leading to the identification of 24 differentially expressed genes. MR studies have shown that CCR, LEF1, NOSIP and FHIT have causal relationships with HNN. In the validation phase, however, only FHIT was retained, for which co-localization analysis revealed limited evidence of a shared causal variant between the GWAS and eQTL signals (H4 = 0.01). The metabolic enrichment highlighted metabolic pathways associated with these genes.

conclusionsThis study identified CD4_naive T cells down-regulation as a shared feature of HNN and aging and highlighted FHIT as potential molecular links. These findings may provide novel insights into the intersection of aging and tumorigenesis based on MR and single-cell analysis, offering potential targets for combined therapeutic strategies.

Indexed as

AgingHead and neck neoplasm (HNN)Head and neck squamous cell carcinoma (HNSCC)Mendelian randomizationSingle-cell

Identifiers

PMID41621040
PMCPMC12868321

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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 OpenQuestion graph.