Evidence map›Paper›PMID 39513308›Full record

ArticleCurrent medicinal chemistry2026

The Risk Genes S1PR5, CMC1, and ASAH1 as Potential Targets for the Diagnosis, Immunotherapy, and Treatment of Colon Adenocarcinoma by Single-Cell and Bulk RNA Sequencing Analysis.

Zipeng Xu, Jiantao Gong, Weidong Hu, Chen Ge, Genxi Tong, Fengjun Cai, Zhenghai Zhu, Yihang Yuan, Chaobo Chen

Abstract read
In one paragraph

Article in Current medicinal chemistry, 2026. 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
–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

6 citing papers in PubMed.

  1. Role of PANoptosis in intestinal diseases and its therapeutic implications.Journal of molecular medicine (Berlin, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Multi-omics and Mendelian randomization identifyTranslational lung cancer research · 2025
    Article
  5. Article
  6. 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.

Zipeng XuDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Jiantao GongDepartment of Gastroenterology, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Weidong HuDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Chen GeDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Genxi TongDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Fengjun CaiDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Zhenghai ZhuDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.
Yihang YuanDepartment of General Surgery, Affiliated Hospital of Medical School, Nanjing Drum Tower Hospital, Nanjing University, Nanjing, 210008, China.
Chaobo ChenDepartment of General Surgery, Xishan People's Hospital of Wuxi City, Wuxi, 214105, China.

Funding

Top Talent Support Program for Young and Middle-aged People of Wuxi Health Committee HB2023116
6 · The paper itself

Abstract

objectiveGlobally, one of the main causes of cancer-related mortality is Colon Adenocarcinoma (COAD). In this study, a new special Immune Cell Functions (ICF) risk model was constructed using single-cell and bulk RNA sequencing data to develop a new understanding and clinical applications for COAD.

methodsThe immune function gene sets were downloaded from a literature reference, and the COAD single-cell dataset GSE146771 was downloaded from the Tumour Immune Single Cell Hub database. Using Lasso analysis, a multiple gene signature was made from the enrichment scores of immune function gene sets that were enriched in different ways. Robust validation of the signature was then performed in multiple independent cohorts. After that, we built the model using a 10-fold cross-test and evaluated its independence for clinical usage using a nomogram. We also investigated the connection between signature and immune function, genetic variation, immunotherapy, and the cancer immunological microenvironment. Lastly, we used qPCR and immunohistochemistry to examine the expression of the unreported model genes. To find the regulatory functions of unreported model genes, an EdU assay was employed.

resultsFirst, 20 differentially enriched immune function gene sets were identified. Ten genes can be used as a risk profile to assess the prognosis of colon cancer, according to Lasso regression analysis. Signature performance was stable in both the training cohort and two independent GEO external cohorts, and risk scores were confirmed as independent prognostic factors. At the same time, our risk model continued to be highly predictive across various clinical clusters and clinical characteristics, such as immune checkpoints, tumour genome mutations, and chemotherapeutic drug resistance. Patients in the low-risk group have exhibited a higher chance of benefiting from immunotherapy, according to immunotherapy response research. qPCR and immunohistochemistry analysis have revealed S1PR5 expression as high in COAD tissues, while CMC1 and ASAH1 expression has been found to be low. According to the findings of the functional experiment, S1PR5, CMC1, and ASAH1 may control the ability of CRC cells to proliferate.

conclusionIn this study, using scRNA-seq and bulk RNA-seq data, we created a risk model to predict the prognosis and effectiveness of immunotherapy in patients with COAD. In addition, we have discovered three model genes (S1PR5, CMC1, and ASAH1) that have not been reported before. These genes have the potential to be novel therapeutic targets in Colorectal Cancer (CRC). These findings suggest that this model could be used to evaluate the prognostic risk and identify potential targets for COAD patient treatment.

Indexed as

AdenocarcinomaCell Adhesion MoleculesColonic NeoplasmsGuanylate CyclaseBiomarkers, TumorGene Expression Regulation, NeoplasticHumansImmunotherapyPrognosisSequence Analysis, RNASingle-Cell AnalysisBiomarkers, TumorCell Adhesion MoleculesGuanylate CyclaseASAH1bulk RNA-seqCMC1Colon adenocarcinomaICF modelimmunotherapyS1PR5scRNA-seqtherapeutic targets

Identifiers

PMID39513308
PMCPMC13555847

What OpenQuestion holds

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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.