Evidence map›Paper›PMID 41845908›Full record

ArticleImmunity, inflammation and disease2026

Microbiome Landscapes in Squamous Cell Carcinoma Tissue Microenvironments: A Comparative Analysis.

Ruiqian Yao, Fang Qian, Haixia Zhao, Xiaomin Shen, Yuanjie Zhu, Liangzhe Wang

Abstract readComparative Study
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Ruiqian YaoDepartment of Dermatology, Naval Medical Centre, Naval Medical University, Shanghai, China.
Fang QianTongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Haixia ZhaoDepartment of Dermatology, Naval Medical Centre, Naval Medical University, Shanghai, China.
Xiaomin ShenDepartment of Dermatology, Naval Medical Centre, Naval Medical University, Shanghai, China.
Yuanjie ZhuDepartment of Dermatology, Naval Medical Centre, Naval Medical University, Shanghai, China.ORCID https://orcid.org/0009-0009-0446-5933
Liangzhe WangDepartment of Dermatology, Naval Medical Centre, Naval Medical University, Shanghai, China.ORCID https://orcid.org/0009-0000-7473-0135

Funding

Basic scientific research project of Naval Medical University 2022MS009Shanghai Collaborative Innovation Project XTCX-KJ-2023-44
6 · The paper itself

Abstract

introductionSquamous cell carcinoma (SCC) is one of the most prevalent human cancers. While anatomically distinct, SCCs exhibit diverse similarities in etiology and molecular. The extent to which different SCCs share microbial landscapes within the tumor tissue microenvironment remains unclear.

methodsWe analyzed RNA sequencing data from 419 SCC samples across five anatomical sites: cutaneous (CuSCC), esophageal (ESCC), lung (LSCC), head and neck (HNSCC), and cervical (CeSCC). Differential microbial abundance between tumor and adjacent normal tissue was assessed using multivariable linear models implemented in MaAsLin2. For each anatomical site, an independent external validation cohort was included (totaling 156 samples) to validate key microbial findings using the area under the receiver operating characteristic curve (AUROC).

resultsThe five SCC cohorts shared 28 shared core bacterial genera, with Staphylococcus was widespread and had the highest relative abundance (mean 13.74%) in all cohorts. ESCC, HNSCC, and LSCC exhibited more similar dysregulated microbiota, with Clostridioides showing the most significant up-regulation in tumor relative to adjacent tissue (the mean model coefficient value, coef = 3.26). Notably, Bradyrhizobium (CeSCC, CuSCC, LSCC, mean coef = -2.58), Massilia (in CeSCC, ESCC, HNSCC, mean coef = -1.99), Providencia (in CeSCC, HNSCC, LSCC, mean coef = 0.93), and Ralstonia (in CuSCC, ESCC, HNSCC, mean coef = -0.52) displayed significant differential expression across multiple cohorts, as confirmed in the validation cohorts (AUROC > 0.6).

conclusionsDespite the absence of a common dysbiotic microbiota among SCCs due to anatomical differences, potential similarities in adjacent sites suggest a unified disease perspective and may pave the way for novel preventive and therapeutic strategies.

Indexed as

BacteriaCarcinoma, Squamous CellMicrobiotaTumor MicroenvironmentFemaleHumansMaleCancer microbiomeRNA sequencingsquamous cell carcinomatumor‐associated microbiota

Identifiers

PMID41845908
PMCPMC13097533

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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.