Evidence map›Paper›PMID 42438795›Full record

ArticleDrug design, development and therapy2026

Shuyu Wan Potentiates PD-1 Inhibitor Efficacy in Non-Small Cell Lung Cancer: Integrated Bioinformatics and Experimental Evidence for Gut Microbiota-Tumor Immune Crosstalk.

Tianqing Sang, Yajing Li, Qihan He, Wei Wu, Qijun Fang, Yinglu Liu, Lijun Yue, Lijing Shi, Lifang Mei, Chubo Huang and 4 more

Abstract read
In one paragraph

Article in Drug design, development and therapy, 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

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. 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

14 authors.

Tianqing Sang *Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Yajing Li *Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Qihan He *Department of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Wei WuDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Qijun FangDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Yinglu LiuDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Lijun YueDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Lijing ShiDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Lifang MeiInternational Jingfang Institute, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Chubo HuangInternational Jingfang Institute, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Huang HuangInternational Jingfang Institute, Nanjing University of Chinese Medicine, Nanjing, People's Republic of China.
Huajun ZhangDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Qian WanDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.
Yigang WanDepartment of Traditional Chinese Medicine, Nanjing Drum Tower Hospital Affiliated Hospital of Medical School, Nanjing University, Nanjing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Therapeutic heterogeneity limits the efficacy of immune checkpoint inhibitors (ICIs) in non-small cell lung cancer (NSCLC). Shuyu Wan (SYW), a classic TCM formula, has shown potential in modulating gut microbiota (GM) and enhancing immunotherapy, yet its synergistic mechanism with PD-1 inhibitors remains unclear. Materials and Methods: SYW components were identified by UPLC-MS. NSCLC-related targets were integrated with SYW targets for pathway enrichment, and molecular docking validated component-target binding. NSCLC syngeneic mice were treated with SYW and/or PD-1 inhibitor (RMP1-14). Tumor growth, histopathology, serum cytokines, tumor-infiltrating CD8 Results: SYW monotherapy showed no significant tumor inhibition, whereas SYW combined with PD-1 inhibitor dose-dependently suppressed NSCLC growth. The combination reduced PD-1 expression and PD-1/PD-L1 co-localization, elevated serum IL-12, IFN-γ, and TNF-α, increased total tumor-infiltrating CD8 Conclusion: SYW acts as a microbiota-dependent immune sensitizer that potentiates PD-1 inhibitor efficacy in NSCLC by remodeling GM and enhancing effector CD8

Indexed as

Carcinoma, Non-Small-Cell LungDrugs, Chinese HerbalGastrointestinal MicrobiomeImmune Checkpoint InhibitorsLung NeoplasmsProgrammed Cell Death 1 ReceptorAnimalsDose-Response Relationship, DrugDrug Screening Assays, AntitumorHumansImmunoinformaticsMaleMiceMice, Inbred C57BLMolecular Docking SimulationDrugs, Chinese HerbalImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptorgut microecologynon-small cell lung cancerPD-1 inhibitorsShuyu Wantumor immune microenvironment

Identifiers

PMID42438795
PMCPMC13356846

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Registered trials

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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.