Evidence map›Paper›PMID 37985530›Full record

ArticleDiscover oncology2023

Pan-cancer analyses of senescence-related genes in extracellular matrix characterization in cancer.

Bo Yan, Pan Liao, Liqiu Shi, Ping Lei

Open access · goldAbstract read
In one paragraph

Article in Discover oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Beyond DNA damage: 3D tumor models and the integrin mechanobiology of radioresistance.Journal of experimental & clinical cancer research : CR · 2026
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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

4 authors at 2 institutions in 1 country.

Bo Yan *Haihe Laboratory of Cell Ecosystem, Department of Geriatrics, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.ORCID http://orcid.org/0000-0003-0674-197X
Pan Liao *Haihe Laboratory of Cell Ecosystem, Department of Geriatrics, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China.ORCID http://orcid.org/0000-0002-6880-2048
Liqiu ShiInner Mongolia Forestry General Hospital, 81 Lincheng North Road, Yakeshi, 022150, Inner Mongolia, China.
Ping LeiHaihe Laboratory of Cell Ecosystem, Department of Geriatrics, Tianjin Medical University General Hospital, 154 Anshan Road, Heping District, Tianjin, 300052, China. leiping1974@163.com.ORCID http://orcid.org/0000-0002-8410-7715
Nankai University · CNTianjin Medical University General Hospital · CN

Funding

Haihe Laboratory of Cell Ecosystem Innovation Fund 22HHXBSS00047National Natural Science Foundation of China 82072166Tianjin Municipal Science and Technology Bureau Foundation 20201194
6 · The paper itself

Abstract

purposeThe aged microenvironment plays a crucial role in tumor onset and progression. However, it remains unclear whether and how the aging of the extracellular matrix (ECM) influences cancer onset and progression. Furthermore, the mechanisms and implications of extracellular matrix senescence-related genes (ECM-SRGs) in pan-cancer have not been investigated.

methodsWe collected profiling data from over 10,000 individuals, covering 33 cancer types, 750 small molecule drugs, and 24 immune cell types, for a thorough and systematic analysis of ECM-SRGs in cancer.

resultsWe observed a significant correlation between immune cell infiltrates and Gene Set Variation Analysis enrichment scores of ECM-SRGs in 33 cancer types. Moreover, our results revealed significant differences in immune cell infiltration among patients with copy number variations (CNV) and single nucleotide variations (SNV) in ECM-SRGs across various malignancies. Aberrant hypomethylation led to increased ECM-SRGs expression, and in specific malignancies, a connection between ECM-SRGs hypomethylation and adverse patient survival was established. The frequency of CNV and SNV in ECM-SRGs was elevated. We observed a positive correlation between CNV, SNV, and ECM-SRGs expression. Furthermore, a correlation was found between the high frequency of CNV and SNV in ECM-SRGs and poor patient survival in several cancer types. Additionally, the results demonstrated that ECM-SRGs expression could serve as a predictor of patient survival in diverse cancers. Pathway analysis unveiled the role of ECM-SRGs in activating EMT, apoptosis, and the RAS/MAPK signaling pathway while suppressing the cell cycle, hormone AR, and the response to DNA damage signaling pathway. Finally, we conducted searches in the "Genomics of Drug Sensitivity in Cancer" and "Genomics of Therapeutics Response Portal" databases, identifying several drugs that target ECM-SRGs.

conclusionsWe conducted a comprehensive evaluation of the genomes and immunogenomics of ECM-SRGs, along with their clinical features in 33 solid tumors. This may provide insights into the relationship between ECM-SRGs and tumorigenesis. Consequently, targeting these ECM-SRGs holds promise as a clinical approach for cancer treatment.

Indexed as

ECM-SRGsEpigeneticGenomicsImmunogenomicPan-cancerPrognosis

Identifiers

PMID37985530
PMCPMC10660488
OpenAlexW4388820585

What OpenQuestion 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 OpenQuestion graph.