Evidence map›Paper›PMID 38976093›Full record

ArticleDiscover oncology2024

A cellular senescence-related signature for predicting prognosis, immunotherapy response, and candidate drugs in patients treated with transarterial chemoembolization (TACE).

Ning He, Wenjing Zhao, Wenlong Tian, Ying Wu, Jian Xu, Yunyan Lu, Xudong Chen, Hui Zhao

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

8 authors.

Ning He *Department of Interventional and Vascular Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Wenjing Zhao *Cancer Research Center Nantong, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Wenlong TianDepartment of Interventional and Vascular Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Ying WuDepartment of Interventional and Vascular Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Jian XuDepartment of Oncology, The Second People's Hospital of Nantong, Nantong, China.
Yunyan LuDepartment of Gynecology, Affiliated Tumor Hospital of Nantong University, Nantong, China.
Xudong ChenDepartment of Pathology, Affiliated Tumor Hospital of Nantong University, Nantong, China. chenxudong@ntu.edu.cn.
Hui ZhaoDepartment of Interventional and Vascular Surgery, Affiliated Hospital of Nantong University, Nantong, China. Zhaohui800@163.com.

Funding

the General Project of Nantong Health Commission MS2022044the General Project of Nantong Health Commission MS2023055the Postgraduate Research & Practice Innovation Program of Jiangsu Province SJCX23_1801
6 · The paper itself

Abstract

backgroundCellular senescence is essential to TME development, progression, and remodeling. Few studies have examined cellular senescence in HCC after TACE. Investigating the relationship between cellular senescence, post-TACE prognosis, the TME, and immune treatment responses is crucial.

methodsWe analyzed the GSE104580 dataset to identify DEGs. A cellular senescence-related signature was developed using LASSO Cox regression in the GSE14520 dataset and validated in the ICGC dataset. High- and low-risk subgroups were compared using GSVA and GSEA. Correlation studies were conducted to explore the relationship between the prognostic model, immune infiltration, immunotherapy response, and drug sensitivity.

resultsA cellular senescence-related signature comprising FOXM1, CDK1, CHEK1, and SERPINE1 was created and validated. High-risk patients showed significantly lower OS than low-risk patients. High-risk patients had carcinogenetic pathways activated, immunosuppressive cells infiltrated, and immunomodulatory genes overexpressed. They also showed higher sensitivity to EPZ004777_1237 and MK-2206_1053 and potential benefits from GSK-3 inhibitor IX, nortriptyline, lestaurtinib, and JNK-9L.

conclusionsThis study constructed a cellular senescence-related signature that could be used to predict HCC patients' responses to and prognosis after TACE treatment, aiding in the development of personalized treatment plans.

Indexed as

Cellular senescenceHepatocellular carcinomaImmunotherapyPrognosisTranscatheter arterial chemoembolizationTumor immune microenvironment

Identifiers

PMID38976093
PMCPMC11231123

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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.