Evidence map›Paper›PMID 36672292›Full record

ArticleCancers2023

Immune Pathways with Aging Characteristics Improve Immunotherapy Benefits and Drug Prediction in Human Cancer.

Xinyue Wang, Shuang Guo, Hanxiao Zhou, Yue Sun, Jing Gan, Yakun Zhang, Wen Zheng, Caiyu Zhang, Xiaoxi Zhao, Jiebin Xiao and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 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
1.4field-weighted citation impact, top 17% 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, 6 citations in OpenAlex.

  1. ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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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.ORCID 0000-0003-4261-2382
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.
Xiaoxi ZhaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Jiebin XiaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Li WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Yue GaoCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Shangwei NingCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.ORCID 0000-0003-4079-8945
Harbin Medical University · CN

Funding

National Natural Science Foundation of China 32070672Outstanding Youth Foundation of Heilongjiang Province of China YQ2022C034
6 · The paper itself

Abstract

(1) Background: Perturbation of immune-related pathways can make substantial contributions to cancer. However, whether and how the aging process affects immune-related pathways during tumorigenesis remains largely unexplored. (2) Methods: Here, we comprehensively investigated the immune-related genes and pathways among 25 cancer types using genomic and transcriptomic data. (3) Results: We identified several pathways that showed aging-related characteristics in various cancers, further validated by conventional aging-related gene sets. Genomic analysis revealed high mutation burdens in cytokines and cytokines receptors pathways, which were strongly correlated with aging in diverse cancers. Moreover, immune-related pathways were found to be favorable prognostic factors in melanoma. Furthermore, the expression level of these pathways had close associations with patient response to immune checkpoint blockade therapy in melanoma and non-small cell lung cancer. Applying a net-work-based method, we predicted immune- and aging-related genes in pan-cancer and utilized these genes for potential immunotherapy drug discovery. Mapping drug target data to our top-ranked genes identified potential drug targets, FYN, JUN, and SRC. (4) Conclusions: Taken together, our systematic study helped interpret the associations among immune-related pathways, aging, and cancer and could serve as a resource for promoting clinical treatment.

Indexed as

agingbiomarkerimmunotherapypan-cancerprognosis

Identifiers

PMID36672292
PMCPMC9856581
OpenAlexW4313576610

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.