Evidence map›Paper›PMID 41372366›Full record

ArticleScientific reports2025

Integrated proteomics and metabolomics analysis revealed that macrophage-related signals may be potential biomarkers for oral squamous cell carcinoma.

Baogui Yang, Zhen Zhang, Yan Liu, Zhaojian Gong, Geng Wu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
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

5 authors.

Baogui Yang *Department of Stomatology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China.
Zhen Zhang *School of Basic Medical Sciences, Guangxi Key Laboratory of Tumor Immunity and Microenvironment Regulation, Guilin Medical University, Guilin, China.
Yan LiuDepartment of Head and Neck Surgery, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University/ Hunan Cancer Hospital, Changsha, China.
Zhaojian GongDepartment of Oral and Maxillofacial Surgery, The Second Xiangya Hospital of Central South University, Changsha, China. gongzhaojian4458@csu.edu.cn.
Geng WuDepartment of Stomatology, The First People's Hospital of Lianyungang, The First Affiliated Hospital of Kangda College of Nanjing Medical University, The Affiliated Lianyungang Hospital of Xuzhou Medical University, Lianyungang, China. 760020240006@xzhmu.edu.cn.

Funding

Aging Health Scientific Research Projects of Lianyungang L202303
6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is a prevalent and aggressive malignancy with poor prognosis, yet the protein-level and metabolic alterations driving disease progression remain poorly characterized. Here, we integrated multi-omics analysis combining proteomics, metabolomics, spatial transcriptomics, and single-cell RNA sequencing data to systematically compare OSCC tumors with matched adjacent non-tumor tissues. Our proteomic profiling identified significant upregulation of immune-related proteins ARPC4 in OSCC, which correlated with poor patient survival. Notably, C1QC-positive macrophages (Macro_C1QC) were identified as the primary source of these dysregulated proteins, with high Macro_C1QC infiltration serving as an independent prognostic marker. Integrated proteo-metabolomic analysis revealed profound dysregulation of tryptophan metabolism pathways, suggesting a potential association with macrophage-mediated immunosuppression in the OSCC microenvironment. These findings collectively indicate that tryptophan metabolic imbalance might promote OSCC progression by reprogramming the phenotype of macrophages. In summary, our study not only delineates the proteomic and metabolomic landscape of OSCC but also identifies immune-related proteins ARPC4 along with Macro_C1QC macrophages as novel prognostic biomarkers.

Indexed as

Biomarkers, TumorCarcinoma, Squamous CellMacrophagesMetabolomicsMouth NeoplasmsProteomicsFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSignal TransductionTumor MicroenvironmentBiomarkers, TumorC1QCMacrophagesMetabolomicsOral squamous cell carcinomaProteomics

Identifiers

PMID41372366
PMCPMC12816574

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.