{"title":"免疫治疗中泛癌肿瘤微环境的单细胞分析。","authors":"Feng Li, Ke Xue, Liying Pei, Yu Sun, Zhe Chen, Yifang Zhang, Kaiyue Song, Wensong Liu, Quan Qi, Xue Gong, Jing Li, Yanjun Xu","doi":"10.1093/hmg/ddaf101","DOIUrl":null,"url":null,"abstract":"<p><p>The high heterogeneity of tumor microenvironment (TME) is a key factor affecting immunotherapy. We integrated immunotherapy related scRNA-seq and bulk datasets to analyze the TME, mine key factors and dissect the mechanism in immunotherapy. Analyzing the cell composition of TME in cancer immunotherapy, we revealed key TME cell types, including B cells, CD8+ T cells and fibroblasts. Through cell subsets identification, pseudo-time sequence and functional status analysis of malignant cells, it was found that the functional status of malignant cell was heterogeneous under different immunotherapy conditions. Key cellular interactions in cancer immunotherapy were also revealed. Further, 16 marker genes and 6 marker cell types of cancer immunotherapy were identified, and then gene and cell model were constructed to predict the immunotherapy response of individuals, and the model were evaluated based on multiple independent validation datasets. This study can provide important guidance for improving the efficiency and understanding the mechanism of cancer immunotherapy.</p>","PeriodicalId":13070,"journal":{"name":"Human molecular genetics","volume":" ","pages":"1446-1457"},"PeriodicalIF":3.2000,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Single cell analysis of pan-cancer tumor microenvironment in immunotherapy.\",\"authors\":\"Feng Li, Ke Xue, Liying Pei, Yu Sun, Zhe Chen, Yifang Zhang, Kaiyue Song, Wensong Liu, Quan Qi, Xue Gong, Jing Li, Yanjun Xu\",\"doi\":\"10.1093/hmg/ddaf101\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The high heterogeneity of tumor microenvironment (TME) is a key factor affecting immunotherapy. We integrated immunotherapy related scRNA-seq and bulk datasets to analyze the TME, mine key factors and dissect the mechanism in immunotherapy. Analyzing the cell composition of TME in cancer immunotherapy, we revealed key TME cell types, including B cells, CD8+ T cells and fibroblasts. Through cell subsets identification, pseudo-time sequence and functional status analysis of malignant cells, it was found that the functional status of malignant cell was heterogeneous under different immunotherapy conditions. Key cellular interactions in cancer immunotherapy were also revealed. Further, 16 marker genes and 6 marker cell types of cancer immunotherapy were identified, and then gene and cell model were constructed to predict the immunotherapy response of individuals, and the model were evaluated based on multiple independent validation datasets. This study can provide important guidance for improving the efficiency and understanding the mechanism of cancer immunotherapy.</p>\",\"PeriodicalId\":13070,\"journal\":{\"name\":\"Human molecular genetics\",\"volume\":\" \",\"pages\":\"1446-1457\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-08-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Human molecular genetics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/hmg/ddaf101\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Human molecular genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/hmg/ddaf101","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Single cell analysis of pan-cancer tumor microenvironment in immunotherapy.
The high heterogeneity of tumor microenvironment (TME) is a key factor affecting immunotherapy. We integrated immunotherapy related scRNA-seq and bulk datasets to analyze the TME, mine key factors and dissect the mechanism in immunotherapy. Analyzing the cell composition of TME in cancer immunotherapy, we revealed key TME cell types, including B cells, CD8+ T cells and fibroblasts. Through cell subsets identification, pseudo-time sequence and functional status analysis of malignant cells, it was found that the functional status of malignant cell was heterogeneous under different immunotherapy conditions. Key cellular interactions in cancer immunotherapy were also revealed. Further, 16 marker genes and 6 marker cell types of cancer immunotherapy were identified, and then gene and cell model were constructed to predict the immunotherapy response of individuals, and the model were evaluated based on multiple independent validation datasets. This study can provide important guidance for improving the efficiency and understanding the mechanism of cancer immunotherapy.
期刊介绍：
Human Molecular Genetics concentrates on full-length research papers covering a wide range of topics in all aspects of human molecular genetics. These include:
the molecular basis of human genetic disease
developmental genetics
cancer genetics
neurogenetics
chromosome and genome structure and function
therapy of genetic disease
stem cells in human genetic disease and therapy, including the application of iPS cells
genome-wide association studies
mouse and other models of human diseases
functional genomics
computational genomics
In addition, the journal also publishes research on other model systems for the analysis of genes, especially when there is an obvious relevance to human genetics.
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