C1orf180
- Known as:
- C1orf180
- Catalog number:
- 002871A
- Product Quantity:
- 250ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- C1orf180
Related genes to: C1orf180
- Gene:
- LINC01555 NIH gene
- Name:
- long intergenic non-protein coding RNA 1555
- Previous symbol:
- C1orf180
- Synonyms:
- FLJ35487
- Chromosome:
- 1p22.3
- Locus Type:
- RNA, long non-coding
- Date approved:
- 2005-07-26
- Date modifiied:
- 2014-11-19
Related products to: C1orf180
Related articles to: C1orf180
- BACKGROUND: Cuproptosis, a novel form of cell death, induces protein-toxic stress before leading to cell demise. However, studies exploring long noncoding RNA (LncRNA) related to cuproptosis in Rectum adenocarcinoma (READ) are limited. This study aims to identify prognostic markers associated with cuproptosis-related LncRNAs and their relationship with the immune microenvironment in READ using bioinformatics approaches. METHODS: RNA sequencing, genetic mutations, copy number variations, and clinical data for TCGA_READ were obtained from The Cancer Genome Atlas (TCGA). READ patients were randomly assigned to either a training cohort or a validation cohort. In the training cohort, the prognostic model was developed using least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression models. The prognostic significance of the model was further validated in both the validation and full cohorts. Tumor mutation burden (TMB), immune-related activities, and functional enrichment analyses (Gene Ontology [GO] and Kyoto Encyclopedia of Genes and Genomes [KEGG]) were performed to explore the relationship between LncRNAs and cuproptosis. RESULTS: From existing literature, we identified 22 genes associated with cuproptosis. Using co-expression analysis, we identified 421 LncRNAs related to cuproptosis. Cox regression analysis led to the identification of four cuproptosis-related LncRNAs (GPRACR, LINC01555, NIHCOLE, and MPC1-DT) as prognostic markers. Patients were stratified into high- and low-risk groups based on the median risk score. Kaplan–Meier survival analysis showed that patients in the high-risk group had significantly worse overall survival (OS) and progression-free survival (PFS), with higher mortality rates. Univariate and multivariate Cox regression analyses confirmed that the risk score was an independent prognostic factor. A nomogram was constructed using multivariate Cox regression to predict the survival outcomes of READ patients. The TMB in the low-risk group was significantly higher than in the high-risk group, and patients with low-risk scores and high TMB had the best OS. Using the Tumor Immune Dysfunction and Exclusion (TIDE) algorithm, we observed significant differences in immune markers, including TAM_M2, IFNG, and CD8, between the high- and low-risk groups. CONCLUSION: In conclusion, the four cuproptosis-related LncRNAs identified in this study serve as reliable prognostic markers for READ patients. These findings provide novel insights into potential immunotherapeutic strategies and clinical applications in the management of READ. - Source: PubMed
Publication date: 2026/04/24
Lv MingheZhao Ruping - Long non-coding ribonucleic acid 01555 (linc01555) is a brand-new long non-coding RNA (lncRNA) that acts a carcinogenic function in various cancers. However, its role in small cell lung cancer (SCLC) is uncertain. This research was to figure out the role of linc01555 in cisplatin (DDP) resistance of SCLC cells and its possible latent mechanism. After establishment of the resistant sub-strain H446/DDP or DMS-53/DDP, detection of linc01555, microRNA (miR)-122-5p and CLICl was done in the H446/DDP or DMS-53/DDP cell line. After intervention, cell biological functions were determined, as well as tube formation ability. The detection of angiomotin (Amot)-p130 and the validation of the regulatory mechanism were performed. Furthermore, tumor xenografts were applied in nude mice to evaluate the effect of linc01555 on DDP resistance in SCLC in vivo. Linc01555 was elevated in SCLC tissues and cells, and in H446/DDP cells or DMS-53/DDP vs. its parental cells; Restraining linc01555 or elevating miR-122-5p repressed the proliferation and metastasis of H446/DDP or DMS-53/DDP cells and vasculogenic mimicry (VM) formation. CLIC1 mediated miR-122-5p to influence the occurrence and development of SCLC. Linc01555 competitively combined with miR-122-5p, which targeted CLIC1. Refrained linc01555 elevated Amot-p130 via the miR-122-5p/CLIC1 axis. Reduced linc01555 refrained tumor growth and DDP resistance in vivo.In short, linc01555 may cause changes in DDP resistance via miR-122-5p/CLIC1 in SCLC. The finding may offer drug targets for SCLC resistance. - Source: PubMed
Publication date: 2022/08/31
Li DanShen YanWeiRen HuiWang LiYang JinWang Yuan - Colorectal cancer (CRC) is the third most frequently diagnosed malignancy and the fourth leading cause of cancer-related death among common tumors in the world. We aimed to establish and validate a risk assessment model to predict overall survival (OS) for the CRC patients. DNA methylation-driven genes were identified by integrating DNA methylation profile and transcriptome data from The Cancer Genome Atlas (TCGA) CRC cohort. Then, a risk score model was built based on LASSO, univariable Cox and multivariable Cox regression analysis. After analyzing the clinicopathological factors, a nomogram was constructed and assessed. Another cohort from GEO was used for external validation. Afterward, the molecular and immune characteristics in the two risk score groups were analyzed. In total, 705 methylation-driven genes were identified. Based on the LASSO and Cox regression analyses, nine genes, i.e., , , , , , , , and , were selected for the development of a risk score model. The Kaplan-Meier curve indicated that patients in the low-risk group had considerably better OS ( = 2e-08). The verification performed in subgroups demonstrated the validity of the model. Then, we established an OS-associated nomogram that included the risk score and significant clinicopathological factors. The concordance index of the nomogram was 0.81. A comprehensive molecular and immune characteristics analysis showed that the high-risk group was associated with tumor invasion, infiltration of immune cells executing pro-tumor suppression (such as myeloid-derived suppressor cells, regulatory T cells, immature dendritic cells) and higher expression of common inhibitory checkpoint molecules (ICPs). Our nine-gene associated risk assessment model is a promising signature to distinguish the prognosis for CRC patients. It is expected to serve as a predictive tool with high sensitivity and specificity for individualized prediction of OS in the patients with CRC. - Source: PubMed
Publication date: 2022/01/21
Feng ZhongshengLiu ZhanjuPeng KangshengWu Wei - Cancers located on the right and left sides of the colon have distinct clinical and molecular characteristics. This study aimed to explore the regulatory mechanisms of location-specific long noncoding RNAs (lncRNAs) as competing endogenous RNAs (ceRNAs) in colon cancer and identify potential prognostic biomarkers. - Source: PubMed
Publication date: 2021/04/15
Li Ke-ZhiYin Yi-XinTang Yan-PingLong LongXie Ming-ZhiLi Ji-LinDing KeHu Bang-Li - To detect the expression level of long non-coding ribonucleic acid 01555 (linc01555) in gastric cancer (GC) tissues and cells, and its effects on the biological functions of GC cells. - Source: PubMed
Zhao XiaolianZhao Zixuan