Role of single cell metacluster in the spatial microenvironment of intrahepatic cholangiocarcinoma in disease prognosis and early recurrence
10.3760/cma.j.cn115396-20240720-00228
- VernacularTitle:肝内胆管癌空间微环境单细胞表型在疾病预后中的作用
- Author:
Gongming ZHANG
1
;
Binwei DUAN
;
Xinxin WANG
;
Mengcheng LIU
;
Wenjing WANG
;
Feng WU
;
Yibo SUN
;
Yifei WANG
;
Yueyi SUN
;
Yuxuan ZHANG
;
Yabo OUYANG
;
Guangming LI
Author Information
1. 首都医科大学附属北京佑安医院普通外科中心 北京肝病研究所 首都医科大学肝癌临床诊疗及研究中心，北京 100069
- Keywords:
Bile duct neoplasms;
Prognosis;
Phenotype;
Intrahepatic cholangiocarcinoma;
Tumor microenvironment;
Immune checkpoint
- From:
International Journal of Surgery
2024;51(12):813-819
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To study the effects of different single cell phenotypes on the prognosis of patients with intrahepatic cholangiocarcinoma by using spatial analysis, providing clues for obtaining potential immunotherapeutic targets.Methods:This study was a retrospective cohort study. A total of 41 intrahepatic cholangiocarcinoma (ICC) patients who underwent surgery in Beijing Youan Hospital Affiliated to Capital Medical University from February 2013 to June 2019 were enrolled. According to the 5-year survival situation, the patients were divided into survival group ( n=10) and death group ( n=31). A metal label-based tissue imaging mass panel containing 36 related markers was designed and constructed for staining different components in tumor samples. Through the analysis of the type and quantity of different metacluster and spatial location information and combined with the clinical outcomes of patients with information, certain metaclusters were found related to the prognosis of patients. Measurement data with normal distribution were expressed as mean±standard deviation ( ± s), paired t-test was used for comparison between groups. Measurement data with skewed distribution were expressed as median, and rank sum test was used for comparison between groups. The chi-square test was used to compare the counting data between groups. Results:36 biomarkers of 41 ICC patients were located and quantified to generate 1 476 single-cell resolution histological images. The expression information of various markers was analyzed by t-distributed Stochastic Neighbor Embedding (tSNE), and subgroups annotations (1-29) were added. It revealed that the density of metacluster 7(CD8 + T cells) was lower in survival group. The density of metacluster 16(Bcl-2 + CK7 + cancer cells) within tumors, as well as the density of metacluster 3(Vista + GB + CD11b + neutrophils) within stroma were higher in death group. Conclusion:The density of metacluster 7(Activated CD8 + T cells), metacluster 16(Bcl-2 + CK7 + tumor cells) and a novel neutrophil metacluster 3(Vista + GB + CD11b + neutrophils) correlated with ICC patients prognosis.
