Construction of a prognostic glycolysis-related lncRNA signature for patients with colorectal cancer

被引:4
作者
Zhong, Xinyang [1 ,2 ]
He, Xuefeng [1 ,2 ]
Wang, Yaxian [1 ,2 ]
Hu, Zijuan [2 ,3 ,4 ,5 ]
Huang, Huixia [2 ,3 ,4 ,5 ]
Zhao, Senlin [1 ,2 ]
Zhang, Hong [6 ]
Wei, Ping [2 ,3 ,4 ,5 ]
Li, Dawei [1 ,2 ]
机构
[1] Fudan Univ, Shanghai Canc Ctr, Dept Colorectal Surg, Shanghai 200032, Peoples R China
[2] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China
[3] Fudan Univ, Shanghai Canc Ctr, Dept Pathol, Shanghai 200032, Peoples R China
[4] Fudan Univ, Shanghai Canc Ctr, Canc Inst, Shanghai, Peoples R China
[5] Fudan Univ, Inst Pathol, Shanghai, Peoples R China
[6] China Med Univ, Shengjing Hosp, Dept Gen Surg, Colorectal Tumor Surg Ward, 36 San Hao St, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金;
关键词
colorectal cancer; glycolysis; lncRNA; prognosis; GROWTH; LINKS;
D O I
10.1002/cam4.4851
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Aerobic glycolysis is a common metabolic phenotype in tumors that helps cancer cells adjust to severe living conditions and can aid metastasis in several types of carcinomas, including colorectal cancer (CRC). Long non-coding RNAs (lncRNAs) can influence tumor biology and have been previously used to assess patients' outcomes and to identify potential therapeutic targets. However, despite the importance of glycolysis-related lncRNAs (GRLs) in the development of CRC, studies on their use as prognostic markers are still limited. Herein, we applied a series of bioinformatic analyses to screen potential prognostic lncRNAs for colorectal cancer. Out of all lncRNAs screened, nine GRLs were selected to constitute a prognostic signature. Based on the signature, two molecular subtypes were classified with distinct prognostic outcomes and excellent diagnostic accuracy (The 1-, 3- and 5-year AUC are 0.756, 0.716, and 0.721, respectively). The prognostic value of this signature was further validated using another cohort. The enriched molecular pathways, immune infiltration, and mutation landscape were also significantly different between the two groups. The different drug sensitivity results between the two groups suggest a potential strategy for precise treatment. Furthermore, we confirmed that AFAP1-AS1 could regulate aerobic glycolysis and metastasis of CRC cells. Overall, we developed a glycolysis-related lncRNA (GRL) signature and suggested that this signature could offer a predictive value and identify potential therapeutic targets for cancer therapy.
引用
收藏
页码:930 / 948
页数:19
相关论文
共 50 条
[31]   Identification of a novel glycolysis-related gene signature for predicting the prognosis of osteosarcoma patients [J].
Yang, Mengkai ;
Ma, Xiaojun ;
Wang, Zhuoying ;
Zhang, Tao ;
Hua, Yingqi ;
Cai, Zhengdong .
AGING-US, 2021, 13 (09) :12896-12918
[32]   A novel prognostic signature based on cuproptosis-related lncRNA mining in colorectal cancer [J].
Hou, Dong ;
Tan, Jia-nan ;
Zhou, Sheng-ning ;
Yang, Xu ;
Zhang, Zhi-hong ;
Zhong, Guang-yu ;
Zhong, Lin ;
Yang, Bin ;
Han, Fang-hai .
FRONTIERS IN GENETICS, 2022, 13
[33]   Discovery and Validation of a Novel Metastasis-Related lncRNA Prognostic Signature for Colorectal Cancer [J].
Tang, Qiang ;
Hu, Xin ;
Guo, Qiong ;
Shi, Yueyue ;
Liu, Liming ;
Ying, Guoguang .
FRONTIERS IN GENETICS, 2022, 13
[34]   Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer [J].
Jing Yu ;
Ting-Ting Liu ;
Lei-Lei Liang ;
Jing Liu ;
Hong-Qing Cai ;
Jia Zeng ;
Tian-Tian Wang ;
Jian Li ;
Lin Xiu ;
Ning Li ;
Ling-Ying Wu .
Cancer Cell International, 21
[35]   Comprehensive analyses of glycolysis-related lncRNAs for ovarian cancer patients [J].
Zheng, Jianfeng ;
Guo, Jialu ;
Zhu, Linling ;
Zhou, Ying ;
Tong, Jinyi .
JOURNAL OF OVARIAN RESEARCH, 2021, 14 (01)
[36]   Identification of Glycolysis-Related Gene Signature and Prediction on Prognosis of Colon Cancer [J].
Ran, Qingsen ;
Li, Manjing ;
Han, Jiayin ;
Wang, Lifang ;
Wang, Han ;
Liu, Shaobo ;
Wang, Yanping .
PAKISTAN JOURNAL OF ZOOLOGY, 2024, 56 (01) :263-272
[37]   Comprehensive analyses of glycolysis-related lncRNAs for ovarian cancer patients [J].
Jianfeng Zheng ;
Jialu Guo ;
Linling Zhu ;
Ying Zhou ;
Jinyi Tong .
Journal of Ovarian Research, 14
[38]   Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer [J].
Yu, Jing ;
Liu, Ting-Ting ;
Liang, Lei-Lei ;
Liu, Jing ;
Cai, Hong-Qing ;
Zeng, Jia ;
Wang, Tian-Tian ;
Li, Jian ;
Xiu, Lin ;
Li, Ning ;
Wu, Ling-Ying .
CANCER CELL INTERNATIONAL, 2021, 21 (01)
[39]   Identification of a glycolysis-related gene signature for predicting pancreatic cancer survival [J].
Zhang, Jiachao ;
Liu, Zhehao ;
Zhang, Zhensheng ;
Tang, Rong ;
Zeng, Yongchao ;
Chen, Pingping .
JOURNAL OF GASTROINTESTINAL ONCOLOGY, 2022, 13 (01) :380-399
[40]   Identification of a glycolysis-related miRNA Signature for Predicting Breast cancer Survival [J].
Shi, Xuejing ;
Xiao, Baoqiang ;
Feng, Rui .
MOLECULAR BIOTECHNOLOGY, 2024, 66 (08) :1988-2006