Evidence map›Paper›PMID 41894110›Full record

ArticleDiscover oncology2026

Analysis and validation of mast cells and enriched genes in colorectal cancer with liver metastasis by multi-omics data.

Zhao-Yi Wei, Liang Hao, Jian-Wen Li, Feng Lv, Bang-Li Hu, Jin-Xin Liu

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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.

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6 authors.

Zhao-Yi WeiDepartment of Gastrointestinal Surgery, The First People' s Hospital of Nanning/The Fifth Affiliated Hospital of Guangxi Medical University, No. 89 Qixing Road, Nanning, 530021, China.
Liang HaoDepartment of Gastrointestinal Surgery, The First People' s Hospital of Nanning/The Fifth Affiliated Hospital of Guangxi Medical University, No. 89 Qixing Road, Nanning, 530021, China.
Jian-Wen LiDepartment of Gastrointestinal Surgery, The First People' s Hospital of Nanning/The Fifth Affiliated Hospital of Guangxi Medical University, No. 89 Qixing Road, Nanning, 530021, China.
Feng LvDepartment of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China.
Bang-Li HuDepartment of Experimental Research, Guangxi Medical University Cancer Hospital, Nanning, China.
Jin-Xin LiuDepartment of Gastrointestinal Surgery, The First People' s Hospital of Nanning/The Fifth Affiliated Hospital of Guangxi Medical University, No. 89 Qixing Road, Nanning, 530021, China. 13907713272@163.com.

Funding

ational Natural Science Foundation of China 82160446
6 · The paper itself

Abstract

backgroundThe role of mast cells (MCs) in colorectal cancer (CRC) has been a subject of debate, and their impact on liver metastasis remains largely unknown. This study aimed to determine the role of MCs and enriched genes in CRC with liver metastasis through a multi-omics analysis approach.

methodsThe proportion of MCs in CRC bulk sequencing datasets was characterized using the CIBERSORT algorithm, and the number of MCs in scRNA-seq datasets was analyzed. Associations between the proportion of MCs and clinical features of CRC were determined. MC- enriched genes were identified and used to construct a predictive model for liver metastasis and a prognostic model for CRC survival. The expression of MC- enriched genes was validated using external datasets and clinical samples via immunohistochemistry (IHC).

resultsFour bulk-seq datasets with 223 samples confirmed that the proportion of activated MCs was lower in liver metastasis tissues compared to primary CRC tissues. The scRNA-seq dataset revealed a smaller number of MCs in liver metastasis tissues versus primary CRC tissues, and the expression of activated MC genes was higher in primary CRC tissues compared to non-metastatic tissues. No significant association was found between the proportion of activated MCs and the TNM stage or tumor stage of CRC. Three genes (APOC1, SPP1, CLU) were identified by overlapping differentially expressed genes from two bulk-seq datasets and an scRNA-seq dataset. A model constructed using these three genes showed good performance in predicting liver metastasis and the survival of CRC patients. Analysis of two bulk-seq datasets and clinical samples by IHC validated the expression of these three genes in CRC tissues.

conclusionsLow proportion of activated MCs is associated with liver metastasis in CRC. The model constructed using three MC-enriched genes could effectively predict CRC patients with liver metastasis and their survival outcomes.

Indexed as

Colorectal cancerGene expressionLiver metastasisMast cellsMulti-omics analysis

Identifiers

PMID41894110
PMCPMC13144465

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