A 14-gene gemcitabine resistance gene signature is significantly associated with the prognosis of pancreatic cancer patients

被引:0
|
作者
Xing Wei
Xiaochong Zhou
Yun Zhao
Yang He
Zhen Weng
Chunfang Xu
机构
[1] The First Affiliated Hospital of Soochow University,Department of Gastroenterology
[2] Soochow University,MOE Engineering Center of Hematological Disease
[3] Soochow University,Cyrus Tang Hematology Center
[4] The First Affiliated Hospital of Soochow University,National Clinical Research Center for Hematologic Diseases
[5] The First Affiliated Hospital of Soochow University,MOH Key Lab of Thrombosis and Hemostasis, Jiangsu Institute of Hematology
[6] Soochow University,Collaborative Innovation Center of Hematology
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
To identify a gemcitabine resistance-associated gene signature for risk stratification and prognosis prediction in pancreatic cancer. Pearson correlation analysis was performed with gemcitabine half maximal inhibitory concentration (IC50) data of 17 primary pancreatic cancer lines from Genomics of Drug Sensitivity in Cancer (GDSC) and the transcriptomic data from GDSC and Broad Institute Cancer Cell Line Encyclopedia, followed by risk stratification, expression evaluation, overall survival (OS) prediction, clinical data validation and nomogram establishment. Our biomarker discovery effort identified a 14-gene signature, most of which featured differential expression. The 14-gene signature was associated with poor OS in E-MTAB-6134 (HR 2.37; 95% CI 1.75–3.2; p < 0.0001), pancreatic cancer-Canada (PACA-CA) (HR 1.76; 95% CI 1.31–2.37; p = 0.00015), and 4 other independent validation cohorts: pancreatic cancer-Australia (PACA-AU) (HR 1.9; 95% CI 1.38–2.61; p < 0.0001), The Cancer Genome Atlas (TCGA) (HR 1.73; 95% CI 1.11–2.69; p = 0.014), GSE85916 (HR 1.97; 95% CI 1.14–3.42; p = 0.014) and GSE62452 (HR 1.82; 95% CI 1.02–3.24; p = 0.039). Multivariate analysis revealed that the 14-gene risk score was an independent pancreatic cancer outcome predictor in E-MTAB-6134 (p < 0.001) and TCGA (p = 0.006). A nomogram including the 14-gene was established for eventual clinical translation. We identified a novel gemcitabine resistance gene signature for risk stratification and robust categorization of pancreatic cancer patients with poor prognosis.
引用
收藏
相关论文
共 50 条
  • [21] A signature of 18 immune-related gene pairs to predict the prognosis of pancreatic cancer patients
    Bu, Fanqin
    Nie, Han
    Zhu, Xiaojian
    Wu, Ting
    Lin, Kang
    Zhao, Jiefeng
    Huang, Jun
    IMMUNITY INFLAMMATION AND DISEASE, 2020, 8 (04) : 713 - 726
  • [22] A novel tumor-derived exosomal gene signature predicts prognosis in patients with pancreatic cancer
    Wang, Yang
    Liang, Chao
    Liu, Xinbo
    Cheng, Shu-Qun
    TRANSLATIONAL CANCER RESEARCH, 2024, 13 (08)
  • [23] A Novel Pyroptosis-Associated Gene Signature to Predict Prognosis in Patients with Colorectal Cancer
    Dai, Juji
    Chen, Shuangdong
    Bai, Yongyu
    Fu, Yangyang
    Pan, Yifei
    Ye, Lechi
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2022, 2022
  • [24] An Inflammatory Response Related Gene Signature Associated with Survival Outcome and Gemcitabine Response in Patients with Pancreatic Ductal Adenocarcinoma
    Xiao, Zhijun
    Li, Jinyin
    Yu, Qian
    Zhou, Ting
    Duan, Jingjing
    Yang, Zhen
    Liu, Cuicui
    Xu, Feng
    FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [25] Identification of a 14-Gene Prognostic Signature for Diffuse Large B Cell Lymphoma (DLBCL)
    Feng, Pengcheng
    Li, Hongxia
    Pei, Jinhong
    Huang, Yan
    Li, Guixia
    FRONTIERS IN GENETICS, 2021, 12
  • [26] Differentially expressed gene signature associated with metastasis and poor outcome in pancreatic cancer patients
    Marayati, Raoud
    Whittlesey, Rebecca L.
    Yeh, Jen Jen
    JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS, 2015, 221 (04) : E32 - E33
  • [27] A pyroptosis-related gene signature for prognosis and immune microenvironment of pancreatic cancer
    Tao, Sifan
    Tian, Li
    Wang, Xiaoyan
    Shou, Yajun
    FRONTIERS IN GENETICS, 2022, 13
  • [28] Identification of pyroptosis-related gene signature for predicting prognosis of patients with pancreatic cancer using bioinformatics
    Xu, Zhongbo
    Yu, Wenyan
    Li, Lin
    Wang, Guojuan
    MEDICINE, 2022, 101 (41) : E31043
  • [29] An E3 ubiquitin-proteasome gene signature for predicting prognosis in patients with pancreatic cancer
    Yin, Taoyuan
    Wen, Jingjing
    Xu, Simiao
    Chen, Lin
    Zhang, Zhenxiong
    Pan, Shutao
    Zhou, Min
    Guo, Xingjun
    Wang, Min
    Gong, Jun
    Zhang, Hang
    Qin, Renyi
    FRONTIERS IN IMMUNOLOGY, 2024, 14
  • [30] A Prognostic 14-Gene Expression Signature for Lung Adenocarcinoma: A Study Based on TCGA Data Mining
    Liu, Jie
    Hou, Shiqiang
    Wang, Jinyi
    Chai, Zhengjun
    Hong, Xuan
    Zhao, Tian
    Sun, Zhengliang
    Bai, Liandi
    Gao, Hongyan
    Gao, Jing
    Chen, Guohan
    OXIDATIVE MEDICINE AND CELLULAR LONGEVITY, 2020, 2020