Evidence map›Paper›PMID 42184055›Full record

ArticleDiscover oncology2026

Integrative single-cell RNA-seq and transcriptomic analysis uncovers cellular heterogeneity and immunotherapy resistance mechanisms in colorectal cancer.

Yirou Wang, Yingying Zhang, Ziyong Mao, Wenle Du, Xiyuan Cao, Minxuan Jiang, Qingchen Zhang, Shenghua Zhan, Zutao Chen

Abstract read
In one paragraph

Article in Discover oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yirou Wang *BamRock Institute of Innovation, Suzhou, 215000, China.
Yingying Zhang *Department of Infectious Diseases, Suzhou Dushu Lake Hospital, The Fourth Affiliated Hospital of Soochow University, Suzhou, 215000, China.
Ziyong Mao *BamRock Institute of Innovation, Suzhou, 215000, China.
Wenle DuBamRock Institute of Innovation, Suzhou, 215000, China.
Xiyuan CaoBamRock Institute of Innovation, Suzhou, 215000, China.
Minxuan JiangSoochow University Medical College, Soochow University, Suzhou, 215000, China.
Qingchen ZhangTianjin International Joint Academy of Biomedicine, Tianjin, 300000, China.
Shenghua ZhanDepartment of Pathology, The First Affiliated Hospital of Soochow University, No. 899 Pinghai Road, Gusu District, Suzhou , 215000, Jiangsu , China. zhanshenghu@suda.edu.cn.
Zutao ChenDepartment of Infectious Diseases, Suzhou Dushu Lake Hospital, Key Laboratory of Geriatric Diseases and Immunology, Ministry of Education, The Fourth Affiliated Hospital of Soochow University, No. 9 Chongwen Road, Suzhou Industrial Park, Suzhou, 215000, Jiangsu, China. chenzt@suda.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the molecular and cellular features associated with immunotherapy resistance in colorectal cancer (CRC) and identify potential biomarkers.

methodsThe single-cell RNA sequencing data from 14 pre-treatmant CRC samples (11 complete respondence and 3 stable disease) were collected from GSE236581. Clustering, pseudotime trajectory analysis, and intercellular communication analysis were performed to explore the tumor microenvironment and malignant cell characteristics. Bulk transcriptome datasets TCGA-COAD and GSE39582 were collected to assist in screening and validating key genes involved in tumorigenesis and prognosis. Key findings were validated in independent cohorts and via immunohistochemistry and T cell cytotoxicity experiments.

resultsUnsupervised clustering identified 21 cell clusters and 8,810 malignant epithelial cells. Differential gene expression analysis revealed 7,648 genes significantly differing between groups, with 568 upregulated in stable disease samples, enriched in ECM organization, ERK1/2 signaling, and metabolic reprogramming. Exploratory pseudotime analysis of cross-sectional pre-treatment samples revealed differences in inferred cellular state distributions in stable disease cells, accompanied by reduced leukocyte chemotaxis‑related signatures. Immune profiling highlighted enhanced CD8 + T-cell cytotoxicity in responders, while stable disease TME contained immunosuppressive macrophages. Intercellular communication analysis revealed stronger malignant cell-CD8 + T-cell interactions in stable disease samples. ASPHD1, associated with poor survival, was upregulated in CRC tissues and may serve as a candidate biomarker associated with immunotherapy response.

conclusionOur findings highlighted the molecular and cellular features associated with immunotherapy resistance in CRC, involving malignant cell adaptations and TME remodeling. ASPHD1 was identified as a candidate gene linked to immunotherapy response in CRC. Given the exploratory nature of this work, these findings and the functional significance of ASPHD1 warrant further validation through larger cohorts and in-depth experimental studies.

Indexed as

Colorectal cancer (CRC)Immunotherapy resistancePrognostic biomarkerSingle-cell RNA sequencingTumor microenvironment (TME)

Identifiers

PMID42184055
PMCPMC13385533

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.