New Sights Into Long Non-Coding RNA LINC01133 in Cancer

Identification of a PANoptosis-related long noncoding rna risk signature for prognosis and immunology in colon adenocarcinoma

BACKGROUND

PANoptosis, a complex programmed cell death (PCD) pathway that includes apoptosis, pyroptosis and necroptosis, is significantly involved in the progression of cancers. Long noncoding RNAs (lncRNAs) play crucial roles in PCD. However, the predictive value of PANoptosis-related lncRNAs (PRlncRNAs) for colon adenocarcinoma (COAD) has not been established.

METHODS

Gene expression data and clinical characteristics of patients with COAD were obtained from The Cancer Genome Atlas database. Differential expression analysis and Pearson correlation analysis were used to identify PRlncRNAs. In addition to least absolute shrinkage and selection operator, univariate and multivariate Cox regression analyses were employed to obtain PRlncRNAs for constructing a risk signature. Patients with COAD in the training set, testing set and entire set were stratified into high- and low-risk groups for further comparison of survival prognosis, using the median risk score as the cut-off point. Time-dependent receiver operating characteristic curves, a nomogram and multivariate Cox regression analysis were conducted to validate the risk signature in the testing set and the entire set. In addition, critical pathways, immune infiltration cells, immune checkpoint-related genes, Tumor Immune Dysfunction and Exclusion (TIDE) scores and antitumour drugs were compared between the two risk groups in the entire set. Correlations between ferroptosis, cuproptosis, disulfidptosis and the PRlncRNA risk score were evaluated. Finally, a competitive endogenous RNA (ceRNA) network was established, and enrichment analysis of the predicted mRNAs was performed using Gene Ontology (GO) analysis. The Kaplan-Meier plotter database was used as an external database to confirm the accuracy of the risk signature in predicting patient prognosis. Additionally, small interfering RNA (siRNA), a cell counting kit- 8 assay, a cell colony formation assay, quantitative polymerase chain reaction (qPCR) and an apoptosis assay were further employed to investigate the roles of AP003555.1 in colon cancer.

RESULTS

A risk signature comprising four PRlncRNAs (LINC01133, FOXD3-AS1, AP001066.1, and AP003555.1) was developed to predict the prognosis of patients with COAD. Kaplan‒Meier curves demonstrated significant differences in prognosis between the high- and low-risk groups across the three sets. Multivariate Cox regression analysis confirmed that the risk signature was an independent prognostic factor across the three sets. A nomogram, receiver operating characteristic curves and calibration curves indicated strong confidence in the risk signature. Using the CIBERSORT algorithm and gene set enrichment analysis, variations in infiltrating immune cells and immune processes were observed between the two risk groups. Furthermore, TIDE algorithm suggested that the high-risk group exhibited a lower risk of immunotherapy escape and better immunotherapy outcomes than the low-risk group. Distinct responses to various antitumour drugs were observed between the two risk groups. Additionally, we constructed a ceRNA network based on PRlncRNAs, and GO enrichment analysis of the predicted mRNAs revealed different functions. In addition, the results of the Kaplan‒Meier plotter database revealed that patients who exhibited high levels of LINC01133 and FOXD3-AS1 experienced significantly shorter overall survival than those with low levels of these lncRNAs. Specifically, in terms of functionality, AP003555.1 was found to be highly expressed in colon cancer tissue and promoted viability and proliferation while suppressing the apoptosis of colon cancer cells.

CONCLUSION

We identified a novel risk signature consisting of four PRlncRNAs, which is an independent prognostic indicator for patients with COAD. This PRlncRNA risk signature is potentially relevant for immunotherapy and could serve as a therapeutic target for COAD.

Dysregulated LINC01133 expression in laryngeal carcinoma: Prognostic implications and predicted ceRNA interactome

Long non-coding RNAs (lncRNAs) have recently emerged as critical regulators of oncogenic or tumor-suppressive pathways in human cancers. LINC01133 is a lncRNA that has exhibited dichotomous roles in various malignancies but to the best of our knowledge, the role of LINC01133 in laryngeal squamous cell carcinoma (LSCC) has not been previously investigated. This study aimed to investigate the expression, clinical significance, and potential functions of the LINC01133 in LSCC. Integrative bioinformatics analysis of sequencing data obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets revealed LINC01133 as a differentially expressed lncRNA in head and neck/laryngeal cancers. Experimental validation via quantitative real-time PCR in 41 pairs of stage III and IV LSCC tissues and normal tissues adjacent to the tumor (NAT) demonstrated significant downregulation of LINC01133 in tumors (p<0.0001). Decreased LINC01133 expression associated with advanced tumor stage (p=0.0206) and lymph node metastasis (p=0.0203). The receiver operating characteristic analysis indicated potential diagnostic utility (AUC=0.7115, p=0.001). Bioinformatic predictions and literature mining suggested two potential competing endogenous RNA (ceRNA) mechanisms whereby LINC01133 may act as a tumor suppressor by sponging miR-205-5p to derepress the leucine-rich repeat kinase 2 (LRRK2) and androgen receptor, leading to dysregulation of cancer-related signaling cascades. This study provides initial evidence that loss of lncRNA LINC01133 expression may promote LSCC tumorigenesis, possibly by dysregulating microRNA interactions. Further verification of its regulatory mechanisms and diagnostic value is warranted.

Propofol-induced LINC01133 inhibits the progression of colorectal cancer via miR-186-5p/NR3C2 axis

Colorectal cancer (CRC) is a formidable threat to human well-being, characterized by a largely enigmatic occurrence and progression mechanism. A growing body of literature has underscored the potential influence of propofol, a frequently administered anesthetic, on clinical outcomes in malignant tumor patients. However, the precise molecular mechanisms underlying the impact of propofol on the progression of CRC have yet to be fully elucidated. This study reveals a notable upregulation of LINC01133 expression in CRC cells subsequent to propofol treatment, which is mediated by FOXO1. Subsequently, a series of experiments were conducted to elucidate the role and mechanisms underlying propofol-induced LINC01133 in CRC development. Our study uncovers that the upregulation of LINC01133 exerts a substantial inhibitory effect on the proliferation, migration, and invasion of CRC cells. Further investigation revealed that LINC01133 can attenuate the proliferation, invasion, and migration of CRC cell lines through the miR-186-5p/NR3C2 axis. Results from in vivo experiments unequivocally demonstrated a significant reduction in the growth rate of subcutaneous implant tumors upon LINC01133 overexpression in CRC cells. These findings posit that propofol induces LINC01133 expression, leading to the inhibition of CRC progression. This revelation offers a novel perspective on propofol's antitumor properties and underscores the potential of LINC01133 as a promising therapeutic target for CRC.

Unveiling dysregulated lncRNAs and networks in non-syndromic cleft lip with or without cleft palate pathogenesis

Non-syndromic cleft lip with or without cleft palate (NSCL/P) is a common congenital facial malformation with a complex, incompletely understood origin. Long noncoding RNAs (lncRNAs) have emerged as pivotal regulators of gene expression, potentially shedding light on NSCL/P's etiology. This study aimed to identify critical lncRNAs and construct regulatory networks to unveil NSCL/P's underlying molecular mechanisms. Integrating gene expression profiles from the Gene Expression Omnibus (GEO) database, we pinpointed 30 dysregulated NSCL/P-associated lncRNAs. Subsequent analyses enabled the creation of competing endogenous RNA (ceRNA) networks, lncRNA-RNA binding protein (RBP) interaction networks, and lncRNA cis and trans regulation networks. RT-qPCR was used to examine the regulatory networks of lncRNA in vivo and in vitro. Furthermore, protein levels of lncRNA target genes were validated in human NSCL/P tissue samples and murine palatal shelves. Consequently, two lncRNAs and three mRNAs: FENDRR (log2FC = - 0.671, P = 0.040), TPT1-AS1 (log2FC = 0.854, P = 0.003), EIF3H (log2FC = - 1.081, P = 0.041), RBBP6 (log2FC = 0.914, P = 0.037), and SRSF1 (log2FC = 0.763, P = 0.026) emerged as potential contributors to NSCL/P pathogenesis. Functional enrichment analyses illuminated the biological functions and pathways associated with these lncRNA-related networks in NSCL/P. In summary, this study comprehensively delineates the dysregulated transcriptional landscape, identifies associated lncRNAs, and reveals pivotal sub-networks relevant to NSCL/P development, aiding our understanding of its molecular progression and setting the stage for further exploration of lncRNA and mRNA regulation in NSCL/P.