Evidence map›Paper›PMID 42840628›Full record

ReviewMedComm2026

Intratumoral Microbiota in Fueling Cancer and Steering Treatment Response.

Minhui Xu, Jie Yu, Ying Chen, Shengfang Ge, Lin Ye, Yefei Wang, Yixiong Zhou, Renbing Jia

Abstract readReview
In one paragraph

Review in MedComm, 2026. 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

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

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

8 authors.

Minhui Xu *Department of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Jie Yu *Department of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Ying Chen *Department of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Shengfang GeDepartment of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Lin YeShenzhen Eye Medical Center Shenzhen Eye Hospital, Southern Medical University Shenzhen China.
Yefei WangDepartment of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Yixiong ZhouDepartment of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.
Renbing JiaDepartment of Ophthalmology Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine Shanghai China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microorganisms within tumors, also known as intratumoral microbiota, actively shape the tumor microenvironment (TME), influencing cancer progression and treatment response. Research has therefore expanded beyond the gut microbiota to intratumoral bacterial and fungal communities. Advances in low-biomass sequencing, contamination control, and spatial profiling have made it possible to detect these low-abundance microbes within the TME and map their marked heterogeneity across cancer types and tissue compartments. However, their origins, causal functions, and clinical relevance remain debated. Here, we summarize contamination-sensitive workflows and high-resolution techniques required for low-biomass tissues, and compare representative taxa in major cancer settings. We further explore microbial origins, taxonomic diversity, and localized interactions with malignant, immune, and stromal cells. We synthesize mechanistic evidence linking intratumoral microbes to genomic instability, epigenetic regulation, oncogenic signaling, metabolic reprogramming, and metastasis. Based on these insights, we evaluate their impact on cancer therapies, alongside emerging microbial interventions and barriers to clinical translation. Ultimately, this review provides a framework for assessing intratumoral microbiota as biomarkers, treatment-response modifiers, and therapeutic targets, while highlighting the key evidence needed to translate these findings into the clinic.

Indexed as

cancer therapycarcinogenesisintratumoral microbiotamicrobial targetingtreatment responsetumor microenvironment

Identifiers

PMID42840628
PMCPMC13639541

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.