Evidence map›Paper›PMID 42034909›Full record

ArticleScientific reports2026

High expression of STAT3 and PD-L1 predicts poor prognosis for laryngeal squamous cell carcinoma.

Ting Shui, Yan Pan, Jiao Hong

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Ting ShuiDepartment of Blood Transfusion, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, 324000, Zhejiang, China.
Yan PanDepartment of Blood Transfusion, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, 324000, Zhejiang, China.
Jiao HongDepartment of Blood Transfusion, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, 324000, Zhejiang, China. Tracy05042025@163.com.

Funding

Quzhou City-Level Guidance Program for Key Technology Breakthroughs grant No. 2024ZD016
6 · The paper itself

Abstract

Laryngeal squamous cell carcinoma (LSCC) ranks among the most prevalent malignant tumors in the head and neck region. Signal transducer and activator of transcription 3 (STAT3) belongs to the family of cytoplasmic latent transcription factors, which has been discovered to be activated in various human cancers and is linked to cancer progression, lymph node metastasis, and unfavorable prognosis. Programmed cell death 1/ programmed cell death ligand 1 (PD-1/PD-L1) has a significant role in the immunosuppressive processes of numerous cancers. However, the specific roles of STAT3 and PD-L1 in LSCC remain unclear. Single sample GSEA was used to explore the link between STAT3 and immune cell infiltration. The Cancer Genome Atlas (TCGA) database revealed the expression levels of STAT3 and PD-L1 and their correlation on mRNA level in patients with LSCC. The expression of STAT3 and PD-L1 proteins was analyzed using immunohistochemistry (IHC). STAT3 and PD-L1 expression were significantly elevated in LSCC tumors. The overall survival rates were notably higher for LSCC patients with low levels of STAT3 and PD-L1 expression than for those with high levels (both P < 0.05). Increased levels of the STAT3, PD-L1 and in combination were positively linked to the pathological differentiation and lymph node metastasis status in patients with LSCC(all P < 0.05). Compared to normal tissue, LSCC exhibited significantly elevated mRNA levels of STAT3 and PD-L1, with both STAT3 and PD-L1 demonstrating a notable increase in expression in LSCC samples at the mRNA and protein levels compared to non-cancerous tissue. Increased STAT3 and PD-L1 may function as promising biomarkers indicating poor prognosis in patients who have undergone surgical resection for LSCC.

Indexed as

B7-H1 AntigenCarcinoma, Squamous CellLaryngeal NeoplasmsSTAT3 Transcription FactorAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedPrognosisB7-H1 AntigenBiomarkers, TumorCD274 protein, humanSTAT3 protein, humanSTAT3 Transcription FactorBiomarkerImmunotherapyLaryngeal squamous cell carcinomaPD-L1PrognosisSTAT3

Identifiers

PMID42034909
PMCPMC13280019

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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.