RETRACTED: LncRNA LIPE-AS1 Predicts Poor Survival of Cervical Cancer and Promotes Its Proliferation and Migration via Modulating miR-195-5p/MAPK Pathway

Zhang, Jie; Jiang, Pinping; Wang, Shoyu; Cheng, Wenjun; Fu, Shilong

doi:10.3389/fonc.2021.639980

Cited by 11 publications

(9 citation statements)

References 27 publications

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“…Therefore, it can be speculated that IFNG co-expressed with LINC01871 was associated with promoting cell apoptosis by ferroptosis. As for LIPE-AS1, Zhang et al ( 30 ) reported that overexpression of LIPE-AS1 in cervical cancer can promote cell proliferation, migration, epithelial mesenchymal transition (EMT), and inhibit cell apoptosis, which can be reversed by LIPE-AS1 knockdown or mir-195-5p/mitogen activated protein kinase (MAPK) signaling pathway activation.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Analysis of Ferroptosis-Related LncRNAs in Breast Cancer Patients Reveals Prognostic Value and Relationship With Tumor Immune Microenvironment

Jiang

et al. 2021

Front. Surg.

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Background: Breast cancer (BC) is a heterogeneous malignant tumor, leading to the second major cause of female mortality. This study aimed to establish an in-depth relationship between ferroptosis-related LncRNA (FRlncRNA) and the prognosis as well as immune microenvironment of the patients with BC.Methods: We downloaded and integrated the gene expression data and the clinical information of the patients with BC from The Cancer Genome Atlas (TCGA) database. The co-expression network analysis and univariate Cox regression analysis were performed to screen out the FRlncRNAs related to prognosis. A cluster analysis was adopted to explore the difference of immune microenvironment between the clusters. Furthermore, we determined the optimal survival-related FRLncRNAs for final signature by LASSO Cox regression analysis. Afterward, we constructed and validated the prediction models, which were further tested in different subgroups.Results: A total of 31 FRLncRNAs were filtrated as prognostic biomarkers. Two clusters were determined, and C1 showed better prognosis and higher infiltration level of immune cells, such as B cells naive, plasma cells, T cells CD8, and T cells CD4 memory activated. However, there were no significantly different clinical characters between the clusters. Gene Set Enrichment Analysis (GSEA) revealed that some metabolism-related pathways and immune-associated pathways were exposed. In addition, 12 FRLncRNAs were determined by LASSO analysis and used to construct a prognostic signature. In both the training and testing sets, patients in the high-risk group had a worse survival than the low-risk patients. The area under the curves (AUCs) of receiver operator characteristic (ROC) curves were about 0.700, showing positive prognostic capacity. More notably, through the comprehensive analysis of heatmap, we regarded LINC01871, LINC02384, LIPE-AS1, and HSD11B1-AS1 as protective LncRNAs, while LINC00393, AC121247.2, AC010655.2, LINC01419, PTPRD-AS1, AC099329.2, OTUD6B-AS1, and LINC02266 were classified as risk LncRNAs. At the same time, the patients in the low-risk groups were more likely to be assigned to C1 and had a higher immune score, which were consistent with a better prognosis.Conclusion: Our research indicated that the ferroptosis-related prognostic signature could be used as novel biomarkers for predicting the prognosis of BC. The differences in the immune microenvironment exhibited by BC patients with different risks and clusters suggested that there may be a complementary synergistic effect between ferroptosis and immunotherapy.

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Section: Discussionmentioning

confidence: 99%

Comprehensive Analysis of Ferroptosis-Related LncRNAs in Breast Cancer Patients Reveals Prognostic Value and Relationship With Tumor Immune Microenvironment

Jiang

et al. 2021

Front. Surg.

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“…HSD17B6 has important functionality in androgen catabolism and was remarkably downregulated in hepatocellular carcinoma, which predicted poor prognosis and high tumor immune infiltrates ( 36 ). It was identified that LIPE is up-regulated in cervical cancer and promotes cell proliferation, invasion, and epithelial-mesenchymal transformation ( 37 ).…”

Section: Discussionmentioning

confidence: 99%

A Novel Prognostic Signature Based on Metabolism-Related Genes to Predict Survival and Guide Personalized Treatment for Head and Neck Squamous Carcinoma

et al. 2021

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Metabolic reprogramming contributes to patient prognosis. Here, we aimed to reveal the comprehensive landscape in metabolism of head and neck squamous carcinoma (HNSCC), and establish a novel metabolism-related prognostic model to explore the clinical potential and predictive value on therapeutic response. We screened 4752 metabolism-related genes (MRGs) and then identified differentially expressed MRGs in HNSCC. A novel 10-MRGs risk model for prognosis was established by the univariate Cox regression analysis and the least absolute shrinkage and selection operator (Lasso) regression analysis, and then verified in both internal and external validation cohort. Kaplan-Meier analysis was employed to explore its prognostic power on the response of conventional therapy. The immune cell infiltration was also evaluated and we used tumor immune dysfunction and exclusion (TIDE) algorithm to estimate potential response of immunotherapy in different risk groups. Nomogram model was constructed to further predict patients’ prognoses. We found the MRGs-related prognostic model showed good prediction performance. Survival analysis indicated that patients suffered obviously poorer survival outcomes in high-risk group (p < 0.001). The metabolism-related signature was further confirmed to be the independent prognostic value of HNSCC (HR = 6.387, 95% CI = 3.281-12.432, p < 0.001), the efficacy of predictive model was also verified by internal and external validation cohorts. We observed that HNSCC patients would benefit from the application of chemotherapy in the low-risk group (p = 0.029). Immunotherapy may be effective for HNSCC patients with high risk score (p < 0.01). Furthermore, we established a predictive nomogram model for clinical application with high performance. Our study constructed and validated a promising 10-MRGs signature for monitoring outcome, which may provide potential indicators for metabolic therapy and therapeutic response prediction in HNSCC.

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“…Accumulating evidence has indicated that lncRNAs may serve as diagnostic and prognostic biomarkers in different types of cancer ( 29 – 31 ). In addition, certain lncRNAs, such as lncRNA SOX21 antisense divergent transcript 1 ( 32 ) and lncRNA LIPE antisense RNA 1 (LIPE-AS1) ( 33 ), have been indicated to be of use as diagnostic and prognostic biomarkers for patients with CC. The present study also suggested that DLEU1 had the ability to screen patients with CC from normal controls.…”

Section: Discussionmentioning

confidence: 99%

Survival‑related DLEU1 is associated with HPV infection status and serves as a biomarker in HPV‑infected cervical cancer

Dong

Wang

et al. 2022

Mol Med Rep

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Human papillomavirus (HPV) is the most common risk factor for the occurrence of cervical cancer (cc). in recent years, the important roles of long non-coding rnas (lncrnas) in cc have emerged, but studies on the relationship between lncrnas and HPV-positive (HPV+) cc remain scarce. The present study aimed to investigate whether lncrna deleted in lymphocytic leukemia 1 (dleu1) is associated with HPV infection and explore the clinical significance of DLEU1 in HPV+ patients with cc. dleu1 expression was detected by reverse transcription-quantitative Pcr. The ability of dleu1 to screen patients with cc from controls and differentiate individuals with different HPV infection status was evaluated by receiver operating characteristic analysis. The association of dleu1 with the survival prognosis of patients with cc was assessed by Kaplan-Meier survival analysis and cox regression analysis. The rna interactome database was used to predict molecules interacting with dleu1. The results indicated that DLEU1 expression was significantly upregulated in CC tissues and cell lines, particularly in those that were HPV+. in addition, dleu1 had a high diagnostic value in discriminating patients with cc and differentiating between HPV+ and HPV-patients with cc, and had a certain ability to screen HPV+ controls. dleu1 was correlated with HPV infection in cc patients. Furthermore, dleu1 was indicated to be associated with survival prognosis in both total patients with cc and HPV+ patients with cc, and independently predict the prognosis of patients with cc. Most of the molecules interacting with dleu1 were micrornas. in conclusion, abnormal dleu1 expression is associated with HPV infection and may serve as a diagnostic and prognostic biomarker for HPV+ patients with cc.

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RETRACTED: LncRNA LIPE-AS1 Predicts Poor Survival of Cervical Cancer and Promotes Its Proliferation and Migration via Modulating miR-195-5p/MAPK Pathway

Cited by 11 publications

References 27 publications

Comprehensive Analysis of Ferroptosis-Related LncRNAs in Breast Cancer Patients Reveals Prognostic Value and Relationship With Tumor Immune Microenvironment

Comprehensive Analysis of Ferroptosis-Related LncRNAs in Breast Cancer Patients Reveals Prognostic Value and Relationship With Tumor Immune Microenvironment

A Novel Prognostic Signature Based on Metabolism-Related Genes to Predict Survival and Guide Personalized Treatment for Head and Neck Squamous Carcinoma

Survival‑related DLEU1 is associated with HPV infection status and serves as a biomarker in HPV‑infected cervical cancer

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