We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Construction and Validation of a Novel Prognosis Model in Colon Cancer Based on Cuproptosis-Related Long Non-Coding RNAs.
- Authors
Liang, Guan-Zhan; Wen, Xiao-Feng; Song, Yi-Wen; Zhang, Zong-Jin; Chen, Jing; Chen, Yong-Le; Pan, Wei-Dong; He, Xiao-Wen; Hu, Tuo; Xian, Zhen-Yu
- Abstract
Colon cancer (CC) is one of the most common (6%) malignancies and leading cause of cancer-associated death (more than 0.5 million) worldwide, which demands reliable prognostic biomarkers. Cuproptosis is a novel modality of regulated cell death triggered by the accumulation of intracellular copper. LncRNAs have been reported as prognostic signatures in different types of tumors. However, the correlation between cuproptosis-related lncRNAs (CRLs) and CC remains unclear. Data of CC patients were downloaded from public databases. The prognosis-associated CRLs were identified by co-expression analysis and univariate Cox. Least absolute shrinkage and selection operator were utilized to construct the CRLs-based prognostic signature in silico for CC patients. CRLs level was validated in human CC cell lines and patient tissues. ROC curve and Kaplan–Meier curve results revealed that high CRLs-risk score was associated with poor prognosis in CC patients. Moreover, the nomogram revealed that this model possessed a steady prognostic prediction capability with C-index as 0.68. More importantly, CC patients with high CRLs-risk score were more sensitive to eight targeted therapy drugs. The prognostic prediction power of the CRLs-risk score was further confirmed by cell lines, tissues and two independent CC cohorts. This study constructed a novel ten-CRLs-based prognosis model for CC patients. The CRLs-risk score is expected to serve as a promising prognostic biomarker and predict targeted therapy response in CC patients.
- Subjects
LINCRNA; COLON cancer prognosis; COLON cancer; RECEIVER operating characteristic curves; COPPER
- Publication
Journal of Clinical Medicine, 2023, Vol 12, Issue 4, p1528
- ISSN
2077-0383
- Publication type
Article
- DOI
10.3390/jcm12041528