Evidence map›Paper›PMID 39735674›Full record

ArticleOncology research2025

Ubiquitin-specific protease 1 facilitates tumor immune escape from natural killer cells and predicts the prognosis in small cell lung cancer.

Shiqin Jiang, Yichun Tang, Feng Ma, Yuchun Niu, Lei Sun

Abstract read
In one paragraph

Article in Oncology research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. Review
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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

5 authors.

Shiqin JiangDepartment of Clinical Pharmacy, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, 518104, China.
Yichun TangDepartment of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510280, China.
Feng MaDepartment of Radiation Oncology, The First People's Hospital of Foshan, Foshan, 528000, China.
Yuchun NiuDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510630, China.
Lei SunDepartment of Oncology, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, 523721, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Small cell lung cancer (SCLC) is commonly recognized as the most fatal lung cancer type. Despite substantial advances in immune checkpoint blockade therapies for treating solid cancers, their benefits are limited to a minority of patients with SCLC. In the present study, novel indicators for predicting the outcomes and molecular targets for SCLC treatment were elucidated. Methods: We conducted bioinformatics analysis to identify the key genes associated with tumor-infiltrating lymphocytes in SCLC. The functional role of the key gene identified in SCLC was determined both Results: A significant correlation was observed between patient survival and CD56dim natural killer (NK) cell proportion. Furthermore, we noted that the hub gene ubiquitin-specific protease 1 (USP1) is closely correlated with both CD56dim NK cells and overall survival in SCLC. Bioinformatics analysis revealed that USP1 is upregulated in SCLC. In addition, gene set enrichment analysis revealed that USP1 overexpression hinders NK cell-mediated immune responses. By co-cultivating NK-92 cells with SCLC cells, we demonstrated that NK cell cytotoxicity against SCLC could be improved either via USP1 knock-down or pharmacological inhibition. Furthermore, using a nude-mice xenograft tumor model, we noted that USP1 inhibition effectively suppressed tumor proliferation and increased the expression of NK cell-associated markers. Conclusions: Our study findings highlight the importance of NK cells in regulating SCLC. USP1 overexpression can inhibit NK cell-mediated immunity; therefore, USP1 may serve not only as a prognostic biomarker but also as a potential molecular target of SCLC therapy.

Indexed as

Killer Cells, NaturalLung NeoplasmsSmall Cell Lung CarcinomaUbiquitin-Specific ProteasesAnimalsBiomarkers, TumorCell Line, TumorCell ProliferationComputational BiologyFemaleGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingMaleMiceMice, NudeBiomarkers, TumorUbiquitin-Specific ProteasesImmune escapeNatural killer (NK) cellPrognosisSmall cell lung cancer (SCLC)Ubiquitin-specific protease 1 (USP1)

Identifiers

PMID39735674
PMCPMC11671408

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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.