Evidence map›Paper›PMID 35911954›Full record

ArticleFrontiers in molecular biosciences2022

Comprehensive Pan-Cancer Analysis of Senescence With Cancer Prognosis and Immunotherapy.

Qinfei Zhao, Weiquan Hu, Jing Xu, Shaoying Zeng, Xuxiang Xi, Jing Chen, Xiangsheng Wu, Suping Hu, Tianyu Zhong

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Qinfei ZhaoDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Weiquan HuDepartment of Joint Surgery, Ganzhou People's Hospital, Ganzhou, China.
Jing XuDepartment of Orthopaedic Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.
Shaoying ZengDepartment of Obstetrics and Gynecology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Xuxiang XiDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Jing ChenDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Xiangsheng WuDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Suping HuDepartment of Emergency, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
Tianyu ZhongDepartment of Laboratory Medicine, First Affiliated Hospital of Gannan Medical University, Ganzhou, China.
First Affiliated Hospital of Gannan Medical University · CNGanzhou People's Hospital · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Senescence is a double-edged sword in tumorigenesis and affects the immunotherapy response through the modulation of the host's immune system. However, there is currently a lack of comprehensive analysis of the senescence-related genes (SRGs) in human cancers, and the predictive role of senescence in cancer immunotherapy response has not been explored. The multi-omics approaches were performed in this article to conduct a systematic pan-cancer genomic analysis of SRGs in cancer. In addition, we calculated the generic senescence score (SS) to quantify the senescence levels in cancers and explored the correlations of SS with cancer prognosis, biological processes, and tumor microenvironment (TME). The gene signatures were deregulated in multiple cancers and indicated a context-dependent correlation with prognosis, tumor-immune evasion, and response to therapy across various tumor types. Further analysis disclosed that SS was positively associated with the infiltration levels of immune suppressive cells, including induced Tregs (iTregs), central memory Ts (Tcms), and natural Tregs (nTregs), and negatively associated with immune killer cells, including natural killers (NKs) and mucosal-associated invariant Ts (MAITs). Moreover, the SS was significantly correlated with tumor-associated macrophages (TAMs), cancer-associated fibroblasts (CAFs), immune-related genes, and immune checkpoints and had a predictive value of immunotherapy response. Thus, the expression of SRGs was involved in resistance to several anticancer drugs. Our work illustrates the characterization of senescence across various malignancies and highlights the potential of senescence as a biomarker of the response to immunotherapy.

Indexed as

immunotherapypan-cancerprognosissenescencetumor-immune microenvironment

Identifiers

PMID35911954
PMCPMC9334796
OpenAlexW4285592847

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

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 Socratic graph.