Evidence map›Paper›PMID 41933285›Full record

ArticleGut microbes2026

Gut microbiota-associated nutritional-immune status predicts prognosis in postoperative NSCLC patients.

Qian Yu, Anqi Chen, Junqi Yi, Majid Iqbal, Ziying Tang, Huabo Ge, Yan Hu, Wenliang Liu, Leliang Zheng, Jingqun Tang and 1 more

Abstract read
In one paragraph

Article in Gut microbes, 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. 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

11 authors.

Qian YuHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Anqi ChenHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Junqi YiHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Majid IqbalNHC Key Laboratory of Carcinogenesis and the Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Ziying TangHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Huabo GeHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Yan HuHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Wenliang LiuHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Leliang ZhengNHC Key Laboratory of Carcinogenesis and the Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, School of Basic Medical Science, Central South University, Changsha, Hunan, China.
Jingqun TangHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Juanjuan XiangHunan Key Laboratory of Early Diagnosis and Precise Treatment of Lung Cancer, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.ORCID 0000-0001-8712-8952

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSurgical resection is the primary treatment for non-small cell lung cancer (NSCLC) patients with stages I and II; however, the postoperative prognosis varies among individuals. The prognostic nutritional index (PNI) reflects the nutritional-immune status of patients, but its microbial determinants remain unclear.

methodsPNI was analyzed in a cohort of 372 retrospective and 139 prospective NSCLC patients. This analysis integrated gut microbiota signatures using 16S rRNA sequencing, fecal metabolomics, and murine fecal microbiota transplantation (FMT) models.

resultsA PNI value of ≥46.2 stratified postoperative NSCLC patients with improved 5-y survival (HR = 0.3889, 95% CI 0.2840-0.5356,

conclusionPNI and its linked gut microbiota‒SCFA axis are clinically prognostic biomarkers and potential immunomodulatory targets for early-stage NSCLC. Targeting this axis may serve as a promising coadjuvant strategy for NSCLC patients undergoing surgical resection.

Indexed as

Carcinoma, Non-Small-Cell LungGastrointestinal MicrobiomeLung NeoplasmsNutritional StatusAgedAnimalsBacteriaFatty Acids, VolatileFecal Microbiota TransplantationFecesFemaleHumansMaleMiceMiddle AgedPostoperative PeriodFatty Acids, VolatileRNA, Ribosomal, 16SCD8+ T cellsgut microbiotaNSCLCprognostic nutritional indexSCFA

Identifiers

PMID41933285
PMCPMC13051591

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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.