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Identification of Ferr-associated prognostic lncRNAs in TC. (a) Coexpression network diagram of the 60 Ferr-associated genes and 145 lncRNAs. (b) Venn diagrams to identify common lncRNAs of differentially expressed lncRNAs, Ferr-associated lncRNAs, and prognostic lncRNAs. (c) The 11 overlapping lncRNAs were differentially expressed in normal and tumor tissues. (d) Forest plot of univariable regression analysis results of the 11 selected Ferr-associated lncRNAs. The “∗∗” represents the statistically significant P value < 0.01, and ∗∗∗P<0.001.
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Background:
Thyroid cancer (TC) is a rapidly increasing incidence of endocrine malignancies, occupying 3% of new cancer incidence, of which 10% has a heterogeneous prognosis. Ferroptosis is a form of cell death distinct from apoptosis, which involves antitumor drug-related research. Long noncoding RNAs (lncRNAs) could affect cancer prognosis by re...
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Citations
... The proportion of FRGs that positively associated with ferroptosis in cluster 2 was higher than that in cluster 1. On the contrary, the proportion of FRGs that negatively correlated with ferroptosis in cluster 1 was higher than that in cluster 2. Nras and Braf were identified as the predominant mutations in cluster 2 and cluster 1, respectively (Tables 1,2, Ref. [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45][46]) [29]. Based on the thyroid cancer dataset from TCGA, a 10-FRG signature including TXNRD1, TFRC, TF, SRXN1, PGD, ISCU, DRD4, DPP4, CDKN2A, and ANGPTL7 was identified, and this 10-FRG signature was an independent prognostic factor for both overall survival (OS) and diseasefree survival (DFS). ...
... Ferroptosis-associated lncRNA prognostic model (Ferr-LPM) was identified in thyroid cancer, and the patients with higher scores showed poor prognosis. Quite significantly, the Ferr-LPM score was negatively correlated with tumor purity and positively linked with immune checkpoint blockade response (Tables 1,2) [39]. Prognosis-related differentially expressed immune-related ferroptosis genes (PR-DE-IRFeGs) expression level was remarkably correlated with BRAF/NRAS/HRAS mutation and suggested that immunity and ferroptosis probably participate in the progression of thyroid cancer through BRAF/NRAS/HRAS mutation and anticancer immunity (Tables 1,2) [40]. ...
At present, many problems remain to be solved in studying the pathogenesis of thyroid cancer. Ferroptosis is a programmed cell death mode discovered in recent years, and many studies have found that ferroptosis plays a significant role in the prognosis and progression of thyroid cancer. The researchers showed that ferroptosis-related genes are essential in diagnosing thyroid cancer. Therefore, this paper summarizes some pathological and clinical characteristics of thyroid cancer and makes a series of combs on the relationship between ferroptosis and the basis and function of thyroid cancer, thus providing specific ideas for the diagnosis and treatment of thyroid cancer.
... The risk model for the six-LRLs signature accurately predicted the OS of PTC patients, demonstrating its potential as an independent prognostic model. Meanwhile, the AUC value of the risk model reached 0.979, which was significantly higher than the prognostic model constructed in previous studies (44)(45)(46), indicating that our six-LRLs signature is a better prediction model. Based on the risk model, differences in enrichment pathways, immune function, Frontiers in Endocrinology frontiersin.org ...
Background:
Lactate, a byproduct of glucose metabolism, is primarily utilized for gluconeogenesis and numerous cellular and organismal life processes. Interestingly, many studies have demonstrated a correlation between lactate metabolism and tumor development. However, the relationship between long non-coding RNAs (lncRNAs) and lactate metabolism in papillary thyroid cancer (PTC) remains to be explored.
Methods:
Lactate metabolism-related lncRNAs (LRLs) were obtained by differential expression and correlation analyses, and the risk model was further constructed by least absolute shrinkage and selection operator analysis (Lasso) and Cox analysis. Clinical, immune, tumor mutation, and enrichment analyses were performed based on the risk model. The expression level of six LRLs was tested using RT-PCR.
Results:
This study found several lncRNAs linked to lactate metabolism in both The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) datasets. Using Cox regression analysis, 303 lactate LRLs were found to be substantially associated with prognosis. Lasso was done on the TCGA cohort. Six LRLs were identified as independent predictive indicators for the development of a PTC prognostic risk model. The cohort was separated into two groups based on the median risk score (0.39717 -0.39771). Subsequently, Kaplan-Meier survival analysis and multivariate Cox regression analysis revealed that the high-risk group had a lower survival probability and that the risk score was an independent predictive factor of prognosis. In addition, a nomogram that can easily predict the 1-, 3-, and 5-year survival rates of PTC patients was established. Furthermore, the association between PTC prognostic factors and tumor microenvironment (TME), immune escape, as well as tumor somatic mutation status was investigated in high- and low-risk groups. Lastly, gene expression analysis was used to confirm the differential expression levels of the six LRLs.
Conclusion:
In conclusion, we have constructed a prognostic model that can predict the prognosis, mutation status, and TME of PTC patients. The model may have great clinical significance in the comprehensive evaluation of PTC patients.
In recent years, molecular and genetic research hotspots of gastric cancer have been investigated, including microRNAs, long noncoding RNAs (lncRNAs) and messenger RNA (mRNAs). The study on the role of lncRNAs may help to develop personalized treatment and identify potential prognostic biomarkers in gastric cancer. The RNA-seq and miRNA-seq data of gastric cancer were downloaded from the TCGA database. Differential analysis of RNA expression between gastric cancer samples and normal samples was performed using the edgeR package. The ceRNA regulatory network was visualized using Cytoscape. KEGG pathway analysis of mRNAs in the ceRNA network was performed using the clusterProfiler package. CIBERSORT was used to distinguish 22 immune cell types and the prognosis-related genes and immune cells were determined using Kaplan-Meier and Cox proportional hazard analyses. To estimate these nomograms, we used receiver operating characteristic and calibration curve studies. The ceRNA regulation network of gastric cancer was built in this study, and the genes in the network were analyzed for prognosis. A total of 980 lncRNAs were differentially expressed, of which 774 were upregulated and 206 were downregulated. A survival study identified 15 genes associated with gastric cancer prognosis, including VCAN-AS1, SERPINE1, AL139002.1, LINC00326, AC018781.1, C15orf54, hsa-miR-145. Monocytes and Neutrophils were associated with the survival rate of gastric cancer. Our research uncovers new ceRNA network for the detection, treatment, and monitoring of gastric cancer.
Ferroptosis is a recently discovered pattern of programmed cell death that is nonapoptotic and irondependent. It is involved in lipid peroxidation dependent on reactive oxygen species. Ferroptosis has been verified to play a crucial regulatory role in a variety of pathological courses of disease, in particularly cancer. Emerging research has highlighted the potential of ferroptosis in tumorigenesis, cancer development and resistance to chemotherapy. However, the regulatory mechanism of ferroptosis remains unclear, which limits the application of ferroptosis in cancer treatment. Noncoding RNAs (ncRNAs) are noncoding transcripts that regulate gene expression in various ways to affect the malignant phenotypes of cancer cells. At present, the biological function and underlying regulatory mechanism of ncRNAs in cancer ferroptosis have been partially elucidated. Herein, we summarize the current knowledge of the central regulatory network of ferroptosis, with a focus on the regulatory functions of ncRNAs in cancer ferroptosis. The clinical application and prospects of ferroptosis-related ncRNAs in cancer diagnosis, prognosis and anticancer therapies are also discussed. Elucidating the function and mechanism of ncRNAs in ferroptosis, along with assessing the clinical significance of ferroptosis-related ncRNAs, provides new perspectives for understanding cancer biology and treatment approaches, which may benefit numerous cancer patients in the future.
