Prognosis and immunotherapy response prediction based on M2 macrophage-related genes in colon cancer

• Published in: Journal of cancer research and clinical oncology 2024-01, Vol.150 (2), p.31-31, Article 31
• Main Authors: Xu, Xiaochen, Zhang, Xinwen, Kou, Ruilong, Liu, Yihao, Chen, Siqi, Li, Zuguo, Jian, Zhiyuan, wang, Zhenran
• Format: Article
• Language: English
• Subjects: Adenocarcinoma; Algorithms; Apoptosis; Cancer Research; Cell proliferation; Colon cancer; Colonic Neoplasms - genetics; Colonic Neoplasms - therapy; Colorectal cancer; Gene expression; Genes; Genomes; Hematology; Humans; Immunoblotting; Immunotherapy; Infiltration; Internal Medicine; Leukocyte migration; Macrophages; Medicine; Medicine & Public Health; Oncology; Polymerase chain reaction; Prognosis; Reverse transcription; Risk groups; Transcriptomes; Tumor cell lines; Western blotting
• ISSN: 1432-1335; 0171-5216; 1432-1335
• DOI: 10.1007/s00432-023-05573-6

Background M2 macrophage were revealed to play a crucial role in immune evasion and immunotherapies. This study aims to explore the potential significance of M2 macrophage-related genes in colon adenocarcinoma (COAD) by analysizing the transcriptome data in a comprehensive way. Methods We collected RNA-sequencing (RNA-seq) data of COAD from The Cancer Genome Atlas (TCGA) and Gene Expression Ominibus (GEO) databases. We calculated the immune infiltration scores of every sample using CIBERSORT algorithm. Through weighted gene co-expression network analysis (WGCNA), we picked out M2 macrophage-related genes. With these genes we screened out prognosis related genes which were utilized to construct a signature to assess the prognosis of patients. To extend the potential application of the signature, we also calculated the correlations with immune infiltration. Finally, we applied techniques such as quantitative reverse transcription polymerase chain reaction (qRT–PCR) and immunoblotting (Western Blotting) to validate the RNF32 gene in cellular in vitro assays. Results Seven M2 macrophage-related genes signature was constructed, which was an excellent prognostic predictor in two independent groups. The high-risk group showed lower immune infiltration and poorer response to immunotherapies than those of the low-risk group. The cell vitro experiments showed that the expression level of RNF32 was upregulated in colon cancer cell lines compared with normal cell lines. Moreover, we found that RNF32 may promote the proliferation, migration and invasion of cancer cells in vitro by inhibiting apoptosis. Conclusion A novel M2 macrophage-related gene signature affects the prognosis and immune characteristics of colon cancer.