Evidence map›Paper›PMID 41381751›Full record

ArticleScientific reports2025

The gut microbiota as a potential biomarker in patients with EGFR-mutant lung cancer.

Chiori Tabe, Daisuke Motooka, Toshitsugu Fujita, Tomonori Makiguchi, Kageaki Taima, Hisashi Tanaka, Masamichi Itoga, Yoshiko Ishioka, Takahiro Akita, Mina Ishidoya and 8 more

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 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

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

1 citing paper in PubMed.

  1. 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

18 authors.

Chiori Tabe *Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Daisuke Motooka *NGS Core Facility, Bioinformatics Center, Research Institute for Microbial Diseases, Osaka University, Osaka, Japan.
Toshitsugu FujitaDepartment of Biochemistry and Genome Biology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Tomonori MakiguchiDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kageaki TaimaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hisashi TanakaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Masamichi ItogaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yoshiko IshiokaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Takahiro AkitaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Mina IshidoyaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Kei ChubachiDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Takashi FukushimaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yusuke TanakaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Haruka OdagiriDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yuko KameyamaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Yuri KoboriDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Sadatomo TasakaDepartment of Respiratory Medicine, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Hodaka FujiiDepartment of Biochemistry and Genome Biology, Hirosaki University Graduate School of Medicine, Hirosaki, Japan. hodaka@hirosaki-u.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) are highly effective against EGFR-mutant non-small cell lung cancer (NSCLC); however, identifying biomarkers that predict prognosis and adverse events is necessary. Although the gut microbiota is considered to be a biomarker for NSCLC without mutations, no studies have examined its potential as a biomarker for EGFR-mutant NSCLC. Here, we investigated the association between gut microbiota composition and diarrhea, a common side effect caused by EGFR-TKIs. In addition, we examined the association between the efficacy of EGFR-TKIs and the gut microbiota. A total of 21 NSCLC patients with EGFR mutations were enrolled. Fecal samples were collected prior to EGFR-TKI treatment and 16S rRNA metagenome sequencing was performed to evaluate the microbiota profile. In addition, α-diversity, β-diversity, and Linear discriminant analysis Effect Size (LEfSe) analyses were performed. The α-diversity of the gut microbiota was higher in patients with grade 0-1 diarrhea than in those with grade 2-3 diarrhea (Shannon, p = 0.0367). In terms of β-diversity, there was a significant difference in the best overall response between patients with a partial response (PR) to EGFR-TKIs and those with stable disease (SD)/progressive disease (PD) (weighted p = 0.041). Analysis of microbial composition revealed an increased abundance of Ruminococcus in the PR group. In patients taking EGFR-TKIs, a higher α-diversity may be associated with less severe diarrhea. In addition, a high abundance of Ruminococcus may be a potential biomarker for predicting favorable efficacy of EGFR-TKIs.

Indexed as

Carcinoma, Non-Small-Cell LungGastrointestinal MicrobiomeLung NeoplasmsMutationAgedBiomarkers, TumorDiarrheaErbB ReceptorsFecesFemaleHumansMaleMiddle AgedProtein Kinase InhibitorsRNA, Ribosomal, 16SBiomarkers, TumorEGFR protein, humanErbB ReceptorsProtein Kinase InhibitorsRNA, Ribosomal, 16SBest overall responseDiarrheaEGFRGut microbiotaLung cancer

Identifiers

PMID41381751
PMCPMC12800159

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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.