Evidence map›Paper›PMID 39209895›Full record

ArticleScientific reports2024

Investigating the role of senescence biomarkers in colorectal cancer heterogeneity by bulk and single-cell RNA sequencing.

Chengsheng Ding, Ximo Xu, Xian Zhang, Enkui Zhang, Shuchun Li, Xiaodong Fan, Junjun Ma, Xiao Yang, Lu Zang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
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.

Chengsheng Ding *Department of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China.
Ximo Xu *Department of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China.
Xian Zhang *Department of General Practice, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China.
Enkui ZhangDepartment of Hepatobiliary and Pancreatic Surgery, Peking University First Hospital, Beijing, 100034, China.
Shuchun LiDepartment of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China.
Xiaodong FanDepartment of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China.
Junjun MaDepartment of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China. mjj11365@rjh.com.cn.
Xiao YangDepartment of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China. yxrjmis@sjtu.edu.cn.
Lu ZangDepartment of General Surgery, School of Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, 200025, China. 7200010848@shsmu.edu.cn.

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.81802933Science and Technology Commission of Shanghai Municipality (Shanghai Municipal Science and Technology Commission) 22ZR1439700
6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of most common tumors worldwide, causing a prominent global health burden. Cell senescence is a complex physiological state, characterized by proliferation arrest. Here, we investigated the role of cellular senescence in the heterogeneity of CRC. Based on senescence-associated genes, CRC samples were classified into different senescence patterns with different survival, cancer-related biological processes and immune cell infiltrations. A senescence-related model was then developed to calculate the senescence-related score to comprehensively explore the heterogeneity of each CRC sample such as stromal activities, immunoreactivities and drug sensitivity. Single-cell analysis revealed there were different immune cell infiltrations between low and high senescence-related model genes enrichment groups, which was confirmed by multiplex immunofluorescence staining. Pseudotime analysis indicated model genes play a pivotal role in the evolution of B cells. Besides, intercellular communication modeled by NicheNet showed tumor cells with higher enrichment of senescence-related model genes highly expressed CXCL2/3 and CCL3/4, which attracted immunosuppressive cell infiltration and promoted tumor metastasis. Finally, top 6 hub genes were identified from senescence-related model genes by PPI analysis. And RT-qPCR revealed the expression differences of hub genes between normal and CRC cell lines, indicating to some extent the clinical practicability of senescence-related model. To sum up, our study explores the impact of cellular senescence on the prognosis, TME and treatment of CRC based on senescence patterns. This provides a new perspective for CRC treatment.

Indexed as

Biomarkers, TumorCellular SenescenceColorectal NeoplasmsSingle-Cell AnalysisCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansSequence Analysis, RNATumor MicroenvironmentBiomarkers, TumorCellular senescenceColorectal cancerImmunotherapySingle-cell RNA sequencingTumor microenvironments

Identifiers

PMID39209895
PMCPMC11362543

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.