Colorectal Cancer Cell Differentiation Trajectory Predicts Patient Immunotherapy Response and Prognosis. (11th August 2022)

• Record Type: Journal Article
• Authors: Qin, Yuling; Li, Meiqin; Lin, Qiumei; Pan, Xiaolan; Liang, Yihua; Huang, Zhaodong; Liu, Zhimin; Huang, Lingsha; Fang, Min
• Is Part Of: Cancer control. Volume 29(2022)
• Publication Date: 2022-08-11
• Subjects: colorectal cancer -- single-cell transcriptome analysis -- tumor microenvironment -- molecular typing -- survival prediction model; Cancer -- Prevention -- Periodicals; Cancer -- Diagnosis -- Periodicals; Cancer -- Treatment -- Periodicals; Cancer -- Palliative treatment -- Periodicals; Cancer -- Prevention; Medical Oncology; Neoplasms -- prevention & control; Neoplasms -- therapy; Electronic journals; Periodicals; Periodicals; 616.994005
• DOI: 10.1177/10732748221121382
• Languages: English
• ISSNs: 1073-2748

Abstract

Objectives: This study aimed to investigate the differentiation state and clinical significance of colorectal cancer cells, as well as to predict the immune response and prognosis of patients based on differentiation-related genes of colorectal cancer. Introduction: Colorectal cancer cells exhibit different differentiation states under the influence of the tumor microenvironment, which determines the cell fates. Methods: We combined single-cell sequencing (scRNA-seq) data from The Cancer Genome Atlas source with extensive transcriptome data from the Gene Expression Omnibus database. We obtained colorectal cancer differentiation-related genes using cell trajectory analysis and developed a colorectal cancer differentiation-related gene based molecular typing and prognostic model to predict the immune response and prognosis of patients with colorectal cancer. Results: We identified 5 distinct cell differentiation subsets and 620 colorectal cancer differentiation-related genes. Colorectal cancer differentiation-related genes were significantly associated with metabolism, angiogenesis, and immunity. We separated patients into 3 subtypes based on colorectal cancer differentiation-related gene expression in the tumor and found differences among the different subtypes in immune infiltration status, immune checkpoint gene expression, clinicopathological features, and overall survival. Immunotherapeutic interventions involving a highly expressed immune checkpoint blockade may be selectively effective in the corresponding cancer subtypes. We built a risk score prediction model (5-year AUC: .729) consisting of the 4 most important predictors of survival (TIMP1, MMP1, LGALS4, and ITLN1). Finally, we generated and validated a nomogram consisting of the risk score and clinicopathological variables. Conclusion: This study highlights the significance of genes involved in cell differentiation for clinical prognosis and immunotherapy in patients and provides prospective therapeutic targets for colorectal cancer.