Evidence map›Paper›PMID 42063001›Full record

ArticleJournal of translational medicine2026

Impact of intra-tumoral microbiome on the efficacy of neoadjuvant immunochemotherapy in patients with locally advanced oral squamous cell carcinoma.

Xiaojuan Zheng, Wenjie Wu, Ye Zhang, Jie Zhang, Fei Ma

Abstract read
In one paragraph

Article in Journal of translational medicine, 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

5 authors.

Xiaojuan Zheng *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Wenjie Wu *Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, People's Republic of China.
Ye Zhang *Department of Radiotherapy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China.
Jie Zhang *Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, Beijing, 100081, People's Republic of China. zhangjie123@bjmu.edu.cn.
Fei Ma *Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, People's Republic of China. drmafei@126.com.ORCID 0000-0001-9432-1902

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-MSDPU2022-0547the Clinical Research Foundation of Peking University School and Hospital of Stomatology PKUSS-2023CRF1012the Cultivation project of Medical Oncology Key Foundation of Cancer Hospital Chinese Academy of Medical Sciences CICAMS-MOCP2022015the Medical Oncology Innovation Team of Cancer Hospital Chinese Academy of Medical Sciences ,Y&M Cultivation project of Cancer Hospital Chinese Academy of Medical Sciences CICAMS-MOY&M-202401the National Key Research and Development Program of China 2022YFC2504200
6 · The paper itself

Abstract

objectiveThe predictive value of intratumoral microbiota for the efficacy of neoadjuvant immunochemotherapy, as well as the changes in microbiota before and after treatment, has remained largely unexplored.

methodsWe employed 2bRAD sequencing for Microbiome (2bRAD-M) to analyze 42 specimens from patients with locally advanced oral squamous cell carcinoma (OSCC), focusing on trends in intratumoral microbiota changes before and after neoadjuvant immunochemotherapy, and predicting responses to the treatment.

results(1) There was no significant difference between the MPR_before group and nMPR_before group in terms of α diversity and β diversity at baseline, but Ralstonia_sp.000620465, Methylobacterium_rhodesianum, Methylobacterium_jeotgali, RH_AL1_sp.901457705, Rothia_sp.002418375, and Rothia_mucilaginosa_A, which were enriched in immune-related signaling pathways, were significantly more abundant in the nMPR_before group and could predict the efficacy of neoadjuvant immunotherapy (AUC=0.74) . (2) Importantly, both the α and β diversity of intratumoral microbiota significantly decreased after neoadjuvant immunochemotherapy, regardless of whether we compared the MPR_before group with MPR_after group or the nMPR_before group with nMPR_after group. (3) The abundance of Deinococcus_geothermalis was significantly higher in the nMPR_after group, while Burkholderia_vietnamiensis was enriched in the MPR_after group. These differential microbial populations between the nMPR_after group and MPR_after group were enriched in metabolism-related pathways such as carbon fixation in photosynthetic organisms, taurine and hypotaurine metabolism, and genetic information processing pathways, including homologous recombination and DNA replication.

conclusionNeoadjuvant immunochemotherapy markedly alters intratumoral microbiota diversity. Baseline and post-treatment microbiota differences between MPR and nMPR groups implicate specific signaling pathways that may influence treatment efficacy in locally advanced OSCC.

Indexed as

Carcinoma, Squamous CellImmunotherapyMicrobiotaMouth NeoplasmsNeoadjuvant TherapyAgedFemaleHumansMaleMiddle AgedTreatment Outcome2bRAD MIntratumoral microbial communityLocally advanced oral squamous cell carcinomaNeoadjuvant immunochemotherapy

Identifiers

PMID42063001
PMCPMC13134234

What OpenQuestion 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 OpenQuestion graph.