LncmiRHG-MIR100HG: A new budding star in cancer

Wu, Yingnan; Wang, Zhenzhen; Yu, Shan; Liu, Dongzhe; Sun, Litao

doi:10.3389/fonc.2022.997532

Cited by 11 publications

(10 citation statements)

References 87 publications

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“…We found that MIR100HG and ATP2A1-AS1 were correlated with multiple cancers and the remaining ARLs were the first identified tumor prognostic markers. Several studies suggested that aberrant expression of MIR100HG was associated with poor clinical outcome and pathological features, and that it was involved in multiple pathways related to tumorigenesis ( Wu et al, 2022 ). aTP2A1-AS1 is a potential prognostic biomarker for CC ( Feng et al, 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

Liang

Liu

et al. 2023

Front. Pharmacol.

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Background: Cervical cancer (CC) is a major health threat to females, and distal metastasis is common in patients with advanced CC. Anoikis is necessary for the development of distal metastases. Understanding the mechanisms associated with anoikis in CC is essential to improve its survival rate.Methods: The expression matrix of long non-coding RNAs (lncRNAs) from cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) patients was extracted from The Cancer Genome Atlas (TCGA), and highly relevant anoikis-related lncRNAs (ARLs) were identified by the single sample gene set enrichment analysis (ssGSEA) method. ARLs-related molecular subtypes were discerned based on prognosis-related ARLs. ARLs-related prognostic risk score (APR_Score) was calculated and risk model was constructed using LASSO COX and COX models. In addition, we also assessed immune cell activity in the immune microenvironment (TME) for both subtypes and APR_Score groups. A nomogram was utilized for predicting improved clinical outcome. Finally, this study also discussed the potential of ARLs-related signatures in predicting response to immunotherapy and small molecular drugs.Results: Three ARLs-related subtypes were identified from TCGA-CESC (AC1, AC2, and AC3), with AC3 patients having the highest ARG scores, higher angiogenesis scores, and the worst prognosis. AC3 had lower immune cell scores in TME but higher immune checkpoint gene expression and higher potential for immune escape. Next, we constructed a prognostic risk model consisting of 7-ARLs. The APR_Score exhibited a greater robustness as an independent prognostic indicator in predicting prognosis, and the nomogram was a valuable tool for survival prediction. ARLs-related signatures emerged as a potential novel indicator for immunotherapy and small molecular drug selection.Conclusion: We firstly constructed novel ARLs-related signatures capable of predicting prognosis and offered novel ideas for therapy response in CC patients.

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Section: Discussionmentioning

confidence: 99%

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

Liang

Liu

et al. 2023

Front. Pharmacol.

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“…The former is mainly exerted through acting as a promoter of RNA binding proteins and as a constituent of nucleic acid‐protein complexes. Examples of the latter function are its role as either miRNA sponges or miRNA precursors 7 . Most notably, the effects of MIR100HG on autophagy or apoptosis are mediated through modulation of TGF‐β, Wnt, Hippo and ERK/MAPK signalling pathways mainly in an independent manner from miRNAs of same origin (mir‐125b‐1, 100, and let‐7a‐2).…”

Section: Discussionmentioning

confidence: 99%

“…This role is exerted through influencing the caspase‐dependent mitochondrial apoptotic axis 6 . Alternative splicing events can give rise to more than 100 transcripts for MIR100HG with sizes ranging from 242 to 7061 bp 7 . The main locus of MIR100HG is the nucleus with also being detected in the cytoplasm 8 …”

Section: Introductionmentioning

confidence: 99%

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A concise review on the role of MIR100HG in human disorders

Ghafouri‐Fard

Harsij

Farahzadi

et al. 2023

J Cellular Molecular Medi

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MIR100HG is a long non‐coding RNA (lncRNA) encoded by a locus on chr11:122,028,203‐122,556,721. This gene can regulate cell proliferation, apoptosis, cell cycle transition and cell differentiation. MIR100HG was firstly identified through a transcriptome analysis and found to regulate differentiation of human neural stem cells. It is functionally related with a number of signalling pathways such as TGF‐β, Wnt, Hippo and ERK/MAPK signalling pathways. Dysregulation of MIR100HG has been detected in a diversity of cancers in association with clinical outcomes. Moreover, it has a role in the pathophysiology of dilated cardiomyopathy, intervertebral disk degeneration and pulmonary fibrosis. The current study summarizes the role of these lncRNAs in human disorders.

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“…By performing multivariate Cox regression, we found that RP11O-160O5.1 was an independent prognostic risk factor for BCR of PCa patients and we inferred that it might be a prognostic indicator for PCa patients. LncRNA MIR100HG was dysregulated in many cancers and played distinctively complex and contradictory roles, which involved tumorigenesis, proliferation, and invasion or inhibition of these biological behaviors of tumors (Wu et al, 2022). Previous studies had demonstrated that lncRNA MIR100HG was identified as an oncogene in various cancers, including breast cancer (Chen et al, 2020), hepatocellular carcinoma (HCC) (Li et al, 2021), gastric Frontiers in Genetics frontiersin.org cancer (Li J. et al, 2019;Li et al, 2020), and colorectal cancer (Li W. et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

A cuproptosis-related LncRNA signature: Integrated analysis associated with biochemical recurrence and immune landscape in prostate cancer

Ren

Yang²,

Wang³

et al. 2023

Front. Genet.

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Background: As a new form of regulated cell death, cuproptosis differs profoundly from apoptosis, ferroptosis, pyroptosis, and necroptosis. The correlation between cuproptosis and long non-coding RNAs (lncRNAs) has been increasingly studied recently. In this study, a novel cuproptosis-related lncRNA prognostic signature was developed to investigate biochemical recurrence (BCR) and tumor immune landscape in prostate cancer (PCa).Methods and Materials: The transcriptome data and clinicopathologic information of PCa patients were downloaded from The Cancer Genome Atlas (TCGA). Pearson’s correlation analysis was applied to identify lncRNAs associated with cuproptosis. Based on Cox regression analysis and the least absolute shrinkage and selection operator (LASSO) regression analysis, we developed a cuproptosis-related lncRNA prognostic model (risk score) to predict the BCR of PCa patients. Additionally, we also constructed a nomogram with the risk score and clinicopathologic features. The biological function, tumor mutation burden (TMB), immune cell infiltration, expression levels of immune checkpoint genes, and anti-cancer drug sensitivity were investigated.Results: We constructed and validated the cuproptosis-related lncRNA signature prognostic model (risk score) by six crlncRNAs. All patients were divided into the low- and high-risk groups based on the median risk score. The Kaplan–Meier (KM) survival analysis revealed that the high-risk group had shorter BCR-free survival (BCRFS). The risk score has been proven to be an independent prognostic factor of BCR in PCa patients. In addition, a nomogram of risk scores and clinicopathologic features was established and demonstrated an excellent predictive capability of BCR. The ROC curves further validated that this nomogram had higher accuracy of predicting the BCR compared to other clinicopathologic features. We also found that the high-risk group had higher TMB levels and more infiltrated immune cells. Furthermore, patients with high TMB in the high-risk group were inclined to have the shortest BCRFS. Finally, patients in the high-risk group were more susceptible to docetaxel, gefitinib, methotrexate, paclitaxel, and vinblastine.Conclusion: The novel crlncRNA signature prognostic model shows a greatly prognostic prediction value of BCR for PCa patients, extends our thought on the association of cuproptosis and PCa, and provides novel insights into individual-based treatment strategies for PCa.

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LncmiRHG-MIR100HG: A new budding star in cancer

Cited by 11 publications

References 87 publications

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

Anoikis-related long non-coding RNA signatures to predict prognosis and small molecular drug response in cervical cancer

A concise review on the role of MIR100HG in human disorders

A cuproptosis-related LncRNA signature: Integrated analysis associated with biochemical recurrence and immune landscape in prostate cancer

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