A novel basement membrane-related gene signature for prognosis of lung adenocarcinomas

被引:28
|
作者
Zhang, Zhenxing [2 ]
Zhu, Haoran [3 ]
Wang, Xiaojun [1 ]
Lin, Shanan [1 ]
Ruan, Chenjin [1 ]
Wang, Qiang [1 ,4 ]
机构
[1] Taizhou Univ Hosp, Taizhou Cent Hosp, Dept Thorac Surg, Taizhou, Zhejiang Provin, Peoples R China
[2] Taizhou Univ Hosp, Taizhou Cent Hosp, Dept Thorac & Maxillofacial Surg B7X, Taizhou, Zhejiang Provin, Peoples R China
[3] Xi An Jiao Tong Univ, Hlth Sci Ctr, Xian, Shaanxi Provinc, Peoples R China
[4] Taizhou Univ Hosp, Taizhou Cent Hosp, Dept thorac Surg, 999 Donghai Ave, Taizhou 318000, Zhejiang Provin, Peoples R China
关键词
Lung adenocarcinoma; Basement membrane; Tumor microenvironment; Immune therapy; NELL2; T cell; CANCER; EXPRESSION; BIOLOGY; NELL2;
D O I
10.1016/j.compbiomed.2023.106597
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Lung adenocarcinoma (LUAD) remains a global health concern with its poor prognosis and high mortality. Whether tumor cells invade through the basement membrane (BM) is the key factor to determine the prognosis of LUAD. This study aimed to identify the BM-related gene signatures to improve the overall prognosis of LUAD.Materials & methods: A series of bioinformatics analyses were conducted based on TCGA and GEO datasets. Unsupervised consistent cluster analysis was performed, and 500 LUAD patients were assigned to two different groups according to expressions of 222 BM-related genes. The differentially expressed genes (DEGs) between the two clusters were identified, and Lasso regression, ROC curve, univariate and multivariate Cox regression ana-lyses and enrichment analysis were conducted. Besides, ssGSEA, CIBERSORT and ESTIMATE algorithmwere were employed to understand the relationship between the tumor microenvironment (TME) and risk scores. Moreover, single cell clustering and trajectory analyses were performed to further understand the significance of BM-related genes. Finally, qRT-PCR was used to verify the prognosis model. Results: A total of 31 prognostic BM-related genes were determined for LUAD, and a novel 17-mRNA prognostic model named BMsocre was successfully established to predict the overall survival of LUAD patients. The high BMscore group indicated worse prognosis. Seventeen DEGs were enriched mainly in metabolism, ECM-receptor interaction and immune response. In addition, the high-risk group showed higher TMB and lower immune score. The low-risk group had a better immunotherapeutic response where immune escape was less likely. The BMscore model was verified in our patient cohort. Furthermore, NELL2 was mainly expressed in clusters of T cells, and was identified to play a critical role in T-cell differentiation. Conclusions: A novel BMscore model was successfully established and might be effective for providing guidance to LUAD therapy.
引用
收藏
页数:15
相关论文
共 50 条
  • [21] Basement-Membrane-Related Gene Signature Predicts Prognosis in WHO Grade II/III Gliomas
    Zhang, Zhaogang
    Lai, Guichuan
    Sun, Lingling
    GENES, 2022, 13 (10)
  • [22] GLUTACTIN, A NOVEL DROSOPHILA BASEMENT MEMBRANE-RELATED GLYCOPROTEIN WITH SEQUENCE SIMILARITY TO SERINE ESTERASES
    OLSON, PF
    FESSLER, LI
    NELSON, RE
    STERNE, RE
    CAMPBELL, AG
    FESSLER, JH
    EMBO JOURNAL, 1990, 9 (04): : 1219 - 1227
  • [23] A Novel Immune-Related Gene Signature Predicts Prognosis of Lung Adenocarcinoma
    Ma, Chao
    Li, Feng
    Wang, Ziming
    Luo, Huan
    BIOMED RESEARCH INTERNATIONAL, 2022, 2022
  • [24] Basement membrane-related MMP14 predicts poor prognosis and response to immunotherapy in bladder cancer
    Zhang, Xuezhou
    Hong, Baoan
    Li, Hongwei
    Zhao, Jiahui
    Li, Mingchuan
    Wei, Dechao
    Wang, Yongxing
    Zhang, Ning
    BMC CANCER, 2024, 24 (01)
  • [25] Identification and validation of basement membrane-related genes predicting prognosis and immune infiltration associated with bladder cancer
    Lai, Fie
    He, Lin
    Lia, Thongher
    Yang, Zhen
    Huang, Chaoyou
    MEDICINE, 2024, 103 (29)
  • [26] Establishment of a Basement Membrane-Related Prognosis Model and Characterization of Tumor Microenvironment Infiltration in Acute Myeloid Leukemia
    Zhu, Zongsi
    Zhao, Yuedong
    Li, Ping
    JOURNAL OF CANCER, 2025, 16 (04): : 1228 - 1242
  • [27] A novel defined cuproptosis-related gene signature for predicting the prognosis of lung adenocarcinoma
    Zhang, Huizhe
    Shi, Yanchen
    Yi, Qing
    Wang, Cong
    Xia, Qingqing
    Zhang, Yufeng
    Jiang, Weilong
    Qi, Jia
    FRONTIERS IN GENETICS, 2022, 13
  • [28] Establishing a Novel Gene Signature Related to Histone Modifications for Predicting Prognosis in Lung Adenocarcinoma
    Liu, Mengfeng
    Yu, Xiran
    Xu, Shidong
    Qu, Changfa
    JOURNAL OF ONCOLOGY, 2022, 2022
  • [29] Relapse-Related Molecular Signature in Lung Adenocarcinomas Identifies Patients With Dismal Prognosis
    Tomida, Shuta
    Takeuchi, Toshiyuki
    Shimada, Yukako
    Arima, Chinatsu
    Matsuo, Keitaro
    Mitsudomi, Tetsuya
    Yatabe, Yasushi
    Takahashi, Takashi
    JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (17) : 2793 - 2799
  • [30] Identification of basement membrane-related signatures for estimating prognosis, immune infiltration landscape and drug candidates in pancreatic adenocarcinoma
    Zhou, Feng
    Liu, Yang
    Liu, Dingwei
    Xie, Yong
    Zhou, Xiaojiang
    JOURNAL OF CANCER, 2024, 15 (02): : 401 - 417