Evidence map›Paper›PMID 33936081›Full record

ArticleFrontiers in immunology2021

Targeting STAT3 Abrogates Tim-3 Upregulation of Adaptive Resistance to PD-1 Blockade on Regulatory T Cells of Melanoma.

Lili Huang, Yu Xu, Juemin Fang, Weixing Liu, Jianhua Chen, Zhuqing Liu, Qing Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
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  15. CD39Frontiers in oncology · 2025
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  20. Unraveling the complexity of STAT3 in cancer: molecular understanding and drug discovery.Journal of experimental & clinical cancer research : CR · 2024
    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

7 authors at 3 institutions in 1 country.

Lili HuangDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yu XuDepartment of Musculoskeletal Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Juemin FangDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Weixing LiuDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Jianhua ChenDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhuqing LiuDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Qing XuDepartment of Oncology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Shanghai Tenth People's Hospital · CNTongji University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Less than 20% of melanoma patients respond to programmed cell death-1 (PD-1) blockade immunotherapies. Thus, it is crucial to understand the dynamic changes in the tumor microenvironment (TME) after PD-1 blockade, for developing immunotherapy efficacy. Methods: A genomic analysis was conducted by The Cancer Genome Atlas (TCGA) datasets and web platform TIMER2.0 datasets. Pathway enrichment analysis was performed using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. Peripheral blood mononuclear cells (PBMCs), regulatory T (Treg) cells, and B16-F10 melanoma mice were used as models. The cellular and molecular characteristics and mechanisms of Treg cells in melanoma were assessed by performing gene expression studies, immunohistochemistry, RNA sequencing, and flow cytometry. Results: Here, we evaluate the countenance of T cell immunoglobulin and mucin-domain containing-3 (Tim-3), and various immunosuppressive factors within tumor-infiltrated Treg cells after treatment with anti-PD-1 or the indicator transduction and activator of transcription 3 (STAT3) inhibitors. Increased expression of Tim-3 is markedly observed within the tissues of the PD-1 blockade resistance of melanoma patients. Targeting STAT3 significantly boosts the response of resistant-PD-1 therapy within the melanoma mouse model. Mechanistically, the manifestation of STAT3 decreases the expression of Tim-3 and various cytokines in the purified Treg cells from individual PBMCs and the murine melanoma model, limiting the immunosuppression of Treg cells. Conclusions: Our findings indicate that Tim-3 expression on Treg cells within the TME is STAT3-dependent, providing support to STAT3 as a target and enhancing the immunotherapy for patients suffering from melanoma.

Indexed as

Gene Expression Regulation, NeoplasticAgedAnimalsBiomarkers, TumorDatabases, GeneticDisease Models, AnimalDrug Resistance, NeoplasmFemaleGene Expression ProfilingHepatitis A Virus Cellular Receptor 2HumansImmune Checkpoint InhibitorsImmunohistochemistryMaleMelanomaMelanoma, ExperimentalBiomarkers, TumorHAVCR2 protein, humanHepatitis A Virus Cellular Receptor 2Immune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorSTAT3 protein, humanSTAT3 Transcription Factoranti-PD-1 therapymelanomaregulatory T cellsSTAT3Tim-3

Identifiers

PMID33936081
PMCPMC8082190
OpenAlexW3139489854

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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.