Evidence map›Paper›PMID 36807625›Full record

ArticleGenes and immunity2023

Pan-cancer transcriptomic analysis identified six classes of immunosenescence genes revealed molecular links between aging, immune system and cancer.

Xinyue Wang, Shuang Guo, Hanxiao Zhou, Yue Sun, Jing Gan, Yakun Zhang, Wen Zheng, Caiyu Zhang, Peng Wang, Hui Zhi and 3 more

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Article in Genes and immunity, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

5 citing papers in PubMed, 9 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

13 authors at 1 institution in 1 country.

Xinyue WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Shuang GuoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Hanxiao ZhouCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yue SunCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Jing GanCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yakun ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Wen ZhengCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Caiyu ZhangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Peng WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Hui ZhiCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Xiaofeng ChenDepartment of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Harbin, 150081, China. chenxiaofeng2008@hotmail.com.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. ningsw@ems.hrbmu.edu.cn.ORCID 0000-0003-4079-8945
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging is a complex process that significantly impacts the immune system. The aging-related decline of the immune system, termed immunosenescence, can lead to disease development, including cancer. The perturbation of immunosenescence genes may characterize the associations between cancer and aging. However, the systematical characterization of immunosenescence genes in pan-cancer remains largely unexplored. In this study, we comprehensively investigated the expression of immunosenescence genes and their roles in 26 types of cancer. We developed an integrated computational pipeline to identify and characterize immunosenescence genes in cancer based on the expression profiles of immune genes and clinical information of patients. We identified 2218 immunosenescence genes that were significantly dysregulated in a wide variety of cancers. These immunosenescence genes were divided into six categories based on their relationships with aging. Besides, we assessed the importance of immunosenescence genes in clinical prognosis and identified 1327 genes serving as prognostic markers in cancers. BTN3A1, BTN3A2, CTSD, CYTIP, HIF1AN, and RASGRP1 were associated with ICB immunotherapy response and served as prognostic factors after ICB immunotherapy in melanoma. Collectively, our results furthered the understanding of the relationship between immunosenescence and cancer and provided insights into immunotherapy for patients.

Indexed as

Gene Expression Regulation, NeoplasticImmune SystemImmunosenescenceNeoplasmsAgingGene Expression ProfilingHumansImmunotherapyTreatment Outcome

Identifiers

PMID36807625
OpenAlexW4321227754

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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.