Evidence map›Paper›PMID 41212598›Full record

ArticleScience progress

COL5A1 in the tumor microenvironment predicts the prognosis of head and neck cancer.

Shikun Dong, Jiahang Song, Zuoquan Zhu, Xi Chen, Xuerong Wang, Lei Cheng, Liqing Zhang

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shikun DongDepartment of Otorhinolaryngology-Head and Neck Surgery, Zhongda Hospital, Southeast University, Nanjing, China.ORCID 0009-0009-6414-6707
Jiahang SongDepartment of Radiation Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID 0000-0001-7858-2096
Zuoquan ZhuDepartment of Radiation Oncology, Affiliated Hospital of Jiangnan University, Wuxi, China.ORCID 0000-0002-6732-5323
Xi ChenDepartment of Otorhinolaryngology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID 0009-0005-4353-1367
Xuerong WangDepartment of Pharmacology, School of Basic Medical Sciences, Nanjing Medical University, Nanjing, China.ORCID 0000-0002-3040-9435
Lei ChengDepartment of Otorhinolaryngology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID 0000-0001-6541-7702
Liqing ZhangDepartment of Otorhinolaryngology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.ORCID 0009-0004-1432-8880

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectivesThis study aims to investigate the significance of tumor microenvironment (TME)-related genes and signal transduction pathways in head and neck cancer (HNC).MethodsGene expression and clinical data of HNC patients were obtained from the Cancer Genome Atlas (TCGA) database. Differentially expressed genes (DEGs) were screened through a multi-step filtration approach to obtain candidate predictors. The biological role of COL5A1 in HNC was verified through rigorous bioinformatic analysis, experimental validation using quantitative real-time PCR (qRT-PCR), immunohistochemical (IHC) analysis from HNC samples, and IHC data from the Human Protein Atlas (HPA) database.ResultsCOL5A1 was significantly upregulated in HNC tissues and cell lines. High COL5A1 expression was significantly associated with advanced tumor grade (

Indexed as

Collagen Type VHead and Neck NeoplasmsTumor MicroenvironmentAgedBiomarkers, TumorCell Line, TumorComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorCOL5A1 protein, humanCollagen Type Vdifferentially expressed genesHead and neck cancerprognosistumor-infiltrating immune cellstumor microenvironment

Identifiers

PMID41212598
PMCPMC12603011

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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.