The role of FERMT2 in the tumor microenvironment and immunotherapy in pan-cancer using comprehensive single-cell and bulk sequencing

被引:1
|
作者
Wu, Guang-hao [1 ]
He, Chao [2 ]
Che, Gang [2 ]
Zhou, Zheng [2 ]
Chen, Bi-ying [2 ]
Wu, Hai-ming [3 ]
Chen, Jian-feng [3 ]
Zhu, Wei-pu [4 ]
Yang, Yan [2 ]
Zhou, Zhan [5 ,6 ]
Teng, Li-song [2 ]
Wang, Hai-yong [2 ]
机构
[1] Hangzhou Normal Univ, Sch Clin Med, Med Coll, Hangzhou, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 1, Sch Med, Dept Surg Oncol, 79 Qingchun Rd, Hangzhou, Peoples R China
[3] Yiwu Cent Hosp, Dept Gastrointestinal Surg, Jinhua, Peoples R China
[4] Zhejiang Univ, Dept Polymer Sci & Engn, MOE Key Lab Macromol Synth & Functionalizat, Hangzhou, Peoples R China
[5] Zhejiang Univ, Inst Drug Metab & Pharmaceut Anal, Hangzhou, Peoples R China
[6] Zhejiang Univ, Coll Pharmaceut Sci, Zhejiang Prov Key Lab Anticanc Drug Res, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
Pan-cancer; Tumor microenvironment; Single-cell transcriptomics; Cancer-associated fibroblasts; TGF-BETA; FIBROBLASTS; KINDLIN-2; EXPRESSION; PROMOTES;
D O I
10.1016/j.heliyon.2024.e30505
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
FERMT2 has been identified as a participant in integrin-linked kinase signaling pathways, influencing epithelial-mesenchymal transition and thereby affecting tumor initiation, progression, and invasion. While the character of FERMT2 in the tumor microenvironment (TME) as well as its implications for immunotherapy remain unclear. Thus, we conducted a comprehensive analysis to assess the prognostic significance of FERMT2 using Kaplan-Meier analysis. In addition, we employed enrichment analysis to uncover potential underlying molecular mechanisms. Using "Immunedeconv" package, we evaluated the immune characteristics of FERMT2 within TME. Furthermore, we determined the expression levels of FERMT2 in various cell types within TME, based on single-cell sequencing data. To confirm the co-expression of FERMT2 and markers of cancer-associated fibroblasts (CAFs), we performed multiplex immunofluorescence staining on tissue paraffin sections across various cancer types. Our analysis disclosed a significant correlation between elevated FERMT2 expression and unfavorable prognosis in specific cancer types. Furthermore, we identified a strong correlation between FERMT2 expression and diverse immune-related factors, including immune checkpoint molecules, immune cell infiltration, microsatellite instability (MSI), and tumor mutational burden (TMB). Additionally, there was a significant correlation between FERMT2 expression and immune-related pathways, particularly those associated with activating, migrating, and promoting the growth of fibroblasts in diverse cancer types. Interestingly, we observed consistent co-expression of FERMT2 in both malignant tumor cells and stromal cells, particularly within CAFs. Notably, our findings also indicated that FERMT2 , in particular, exhibited elevated expression levels within tumor tissues and co -expressed with alpha-SMA in CAFs based on the multiplex immunofluorescence staining results.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Comprehensive landscape of the IPAF inflammasomes in pan-cancer: A bulk omics research and single-cell sequencing validation
    Dong, Chen-cheng
    Zhang, Qiu-huan
    Zhang, Yan
    Zhang, Yujie
    Ruan, Hanyi
    Qin, Tianyu
    Zhao, Jie-hua
    Wu, Guo
    Zhu, Zhou
    Yang, Jian-rong
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 155
  • [2] Cuproptosis correlates with immunosuppressive tumor microenvironment based on pan-cancer multiomics and single-cell sequencing analysis
    Qin, Yan
    Liu, Yanling
    Xiang, Xiaoyun
    Long, Xingqing
    Chen, Zuyuan
    Huang, Xiaoliang
    Yang, Jianrong
    Li, Wei
    MOLECULAR CANCER, 2023, 22 (01)
  • [3] Cuproptosis correlates with immunosuppressive tumor microenvironment based on pan-cancer multiomics and single-cell sequencing analysis
    Yan Qin
    Yanling Liu
    Xiaoyun Xiang
    Xingqing Long
    Zuyuan Chen
    Xiaoliang Huang
    Jianrong Yang
    Wei Li
    Molecular Cancer, 22
  • [4] A pan-cancer and single-cell sequencing analysis of CD161, a promising onco-immunological biomarker in tumor microenvironment and immunotherapy
    Li, He
    Zhou, Ke
    Wang, Kaiyue
    Cao, Hui
    Wu, Wantao
    Wang, Zeyu
    Dai, Ziyu
    Chen, Shi
    Peng, Yun
    Xiao, Gelei
    Luo, Peng
    Zhang, Jian
    Liu, Zaoqu
    Cheng, Quan
    Zhang, Hao
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [5] A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling
    Junbin Qian
    Siel Olbrecht
    Bram Boeckx
    Hanne Vos
    Damya Laoui
    Emre Etlioglu
    Els Wauters
    Valentina Pomella
    Sara Verbandt
    Pieter Busschaert
    Ayse Bassez
    Amelie Franken
    Marlies Vanden Bempt
    Jieyi Xiong
    Birgit Weynand
    Yannick van Herck
    Asier Antoranz
    Francesca Maria Bosisio
    Bernard Thienpont
    Giuseppe Floris
    Ignace Vergote
    Ann Smeets
    Sabine Tejpar
    Diether Lambrechts
    Cell Research, 2020, 30 : 745 - 762
  • [6] A pan-cancer blueprint of the heterogeneous tumor microenvironment revealed by single-cell profiling
    Qian, Junbin
    Olbrecht, Siel
    Boeckx, Bram
    Vos, Hanne
    Laoui, Damya
    Etlioglu, Emre
    Wauters, Els
    Pomella, Valentina
    Verbandt, Sara
    Busschaert, Pieter
    Bassez, Ayse
    Franken, Amelie
    Bempt, Marlies Vanden
    Xiong, Jieyi
    Weynand, Birgit
    van Herck, Yannick
    Antoranz, Asier
    Bosisio, Francesca Maria
    Thienpont, Bernard
    Floris, Giuseppe
    Vergote, Ignace
    Smeets, Ann
    Tejpar, Sabine
    Lambrechts, Diether
    CELL RESEARCH, 2020, 30 (09) : 745 - 762
  • [7] Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
    Wenhui Wang
    Li Wang
    Junjun She
    Jun Zhu
    Cancer Biology & Medicine , 2022, (01) : 30 - 42
  • [8] Examining heterogeneity of stromal cells in tumor microenvironment based on pan-cancer single-cell RNA sequencing data
    Wang, Wenhui
    Wang, Li
    She, Junjun
    Zhu, Jun
    CANCER BIOLOGY & MEDICINE, 2022, 19 (01) : 30 - 42
  • [9] Integrated analysis of single-cell and bulk RNA sequencing data reveals a pan-cancer stemness signature predicting immunotherapy response
    Zhen Zhang
    Zi-Xian Wang
    Yan-Xing Chen
    Hao-Xiang Wu
    Ling Yin
    Qi Zhao
    Hui-Yan Luo
    Zhao-Lei Zeng
    Miao-Zhen Qiu
    Rui-Hua Xu
    Genome Medicine, 14
  • [10] Integrated analysis of single-cell and bulk RNA sequencing data reveals a pan-cancer stemness signature predicting immunotherapy response
    Zhang, Zhen
    Wang, Zi-Xian
    Chen, Yan-Xing
    Wu, Hao-Xiang
    Yin, Ling
    Zhao, Qi
    Luo, Hui-Yan
    Zeng, Zhao-Lei
    Qiu, Miao-Zhen
    Xu, Rui-Hua
    GENOME MEDICINE, 2022, 14 (01)