Characterization of a ferroptosis and iron-metabolism related lncRNA signature in lung adenocarcinoma

Yao, Jie; Chen, Xiao; Liu, Xiao; Li, Rui; Zhou, Xi-Jia; Qu, Yi-Qing

doi:10.1186/s12935-021-02027-2

Cited by 68 publications

(65 citation statements)

References 36 publications

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“…Seven lncRNA-associated ferroptosis can be used as diagnostic and prognostic biomarkers for LUAD tumors. 18 Up to date, there have not been many scientific studies on the efficacy evaluation of ferroptosis-associated lncRNAs in the prognosis of solid tumors, especially colorectal cancer. This paper is likely to give a precious perspective on the manipulation of colorectal cancer in the future.…”

Section: Discussionmentioning

confidence: 99%

Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer

Shen

Qiao

et al. 2022

IJGM

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Background: Currently, colorectal cancer has become a common gastrointestinal malignancy that usually occurs in the colon and rectum, and ferroptosis plays a vital role in the pathology and progression of colorectal tumors. Methods: A total of 627 patients (51 normal and 644 tumor samples) from The Cancer Genome Atlas (TCGA)-COAD and TCGA-READ were included in the study. Lasso and Cox's regression was employed to analyze the characteristic lncRNAs in colorectal cancer samples, and a distinctive prognostic model of ferroptosis-related lncRNAs was established. By analyzing the divergence between the high and low-risk groups of ferroptosis-related lncRNAs, 15 characteristic lncRNAs related to the prognosis of colorectal cancer were evaluated. Kaplan-Meier analysis, operation characteristic curve (ROC), nomogram, and gene set enrichment analyses (GSEA) further confirmed the validity of the characteristic prognostic model with ferroptosis-related lncRNAs. Results: Kaplan-Meier analysis confirmed a high-risk group of ferroptosis-related lncRNA interrelated with a poor prognosis in colorectal cancer. AUC estimates of 1 -, 3 -, and 5-year survival rates for ferroptosis-related lncRNA characteristic models were 0.745, 0.767 and 0.789. GSEA analysis showed that immune and malignancy-related pathways were active in the high-risk score group. In addition, differential analyses of immune function, including Checkpoint, cytolytic, HLA, and T cell co-inhibition, differed significantly betwixt low -and high-risk groups.CD160,

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Section: Discussionmentioning

confidence: 99%

Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer

Shen

Qiao

et al. 2022

IJGM

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“…With the improvement of gene sequencing technology, long noncoding RNAs (lncRNAs) have attracted increasing attention because they can regulate gene expression at multiple levels, such as the chromatin, transcription, and posttranscriptional levels, and they can participate in various biological processes, such as cell differentiation, cell cycle regulation, and stem cell pluripotency maintenance (Lu Q. et al, 2020;Zhuo et al, 2020;Jiang, et al, 2021). In recent years, multiple studies have confirmed that regulation of the expression of lncRNAs (i.e., LINC00618, LINC00336, PVT1, and ZFAS1) is closely related to ferroptosis Yang et al, 2020;Wang et al, 2021;Yao, et al, 2021;Zhang et al, 2021). Some lncRNAs (i.e., LINC00336 and ZFAS1) also act as competitive endogenous RNAs (ceRNAs) to prevent peroxidation, thereby inhibiting ferroptosis Yang et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identification of Ferroptosis-Related Biomarkers for Prognosis and Immunotherapy in Patients With Glioma

Shi

Lai

Zuo

et al. 2022

Front. Cell Dev. Biol.

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Ferroptosis is a novel type of iron- and ROS-dependent cell death and is involved in various diseases. LncRNAs are involved and play important roles in the occurrence and development of several cancers. However, researches about the role of ferroptosis-related lncRNAs in glioma are relatively rare. Here, we identified nine ferroptosis-related lncRNAs and then constructed a prognostic model by the LASSO and Cox analysis. The model could predict overall survival with high sensitivity and specificity according to ROC curves. In addition, the cell cycle, p53 signaling, apoptosis, and oxidative phosphorylation pathways were obviously enriched in the pathogenesis of glioma by gene set enrichment analysis. A nomogram was constructed by integrating several independent prognostic clinicopathological features, and it could provide a valuable predictive tool for overall survival. Furthermore, a strong correlation between these nine lncRNAs and immunotherapy was found. Glioma patients in the high-risk group had higher TMB using somatic mutation data, different immune infiltration, and higher expression of immune checkpoints, indicating these patients might benefit from immune checkpoint inhibitor therapy. In summary, these nine ferroptosis-related lncRNAs were promising biomarkers for predicting overall survival and guiding immunotherapy or future immune checkpoint inhibitor development for glioma patients.

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“…In our study, significant differences in immune cell infiltration and function and the expression of immune checkpoints between the two risk groups were also confirmed to a certain extent. A parallel study by Yao et al identified 7 FRLs that had diagnostic utility in OS for patients with LUAD, and the results showed that the AUCs of the risk model based on 7 FRLs for 1 year, 2 years, and 3 years were 0.711, 0.658, and 0.676 in the training set and 0.593, 0.577, and 0.525 in the validation set [ 45 ]. A net of 7 FRL differences was determined in their study, while a net of 19 FRL differences was determined in our study.…”

Section: Discussionmentioning

confidence: 99%

Risk stratification of lung adenocarcinoma using a nomogram combined with ferroptosis-related LncRNAs and subgroup analysis with immune and N6-methyladenosine modification

et al. 2022

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Background Determining the prognosis of lung adenocarcinoma (LUAD) is challenging. The present study aimed to identify prognostic ferroptosis-related long noncoding RNAs (FRLs) and construct a prognostic model. Moreover, differential analysis of immune and N6-methyladenosine (m6A)-related genes was systematically conducted. Methods A total of 504 patients selected from a dataset from The Cancer Genome Atlas were included. The patients with LUAD were randomly divided into a training group and a test group at a ratio of 1:1. Pearson correlation analysis and univariate Cox regression analysis were used to identify the prognostic FRLs. Then, a prognostic model was constructed from the optimized subset of prognostic FRLs based on the least absolute shrinkage and selection operator (LASSO) algorithm. Subsequently, the receiver operating characteristic (ROC) curve and survival analysis were used to evaluate the performance of the model. The risk score based on the prognostic model was analyzed using Cox regression analysis. Moreover, gene set enrichment analysis and differential analysis of immune- and m6A-related genes were conducted. Results After univariate Cox regression analysis and LASSO algorithm analysis, a total of 19 prognostic FRLs were selected to construct the final model to obtain the risk score. The area under the ROC curve of the prognostic model for 1-year, 3-year, and 5-year overall survival (OS) was 0.763, 0.745, and 0.778 in the training set and 0.716, 0.724, and 0.736 in the validation set, respectively. Moreover, the OS of the high-risk group was significantly worse than that of the low-risk group in the training group (P < 0.001) and in the test group (P < 0.001). After univariate and multivariate Cox regression analysis, the risk score [hazard ratio (HR) = 1.734; P < 0.001] and stage (HR = 1.557; P < 0.001) were both considered significant prognostic factors for LUAD. A nomogram was constructed based on clinical features and risk score. The expression of 34 checkpoint genes and 13 m6A-related genes varied significantly between the two risk groups. Conclusion This study constructed a prognostic model to effectively predict the OS of patients with LUAD, and these OS-related FRLs might serve as potential therapeutic targets of LUAD.

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Characterization of a ferroptosis and iron-metabolism related lncRNA signature in lung adenocarcinoma

Cited by 68 publications

References 36 publications

Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer

Long Non-Coding RNA Signatures Associated with Ferroptosis Predict Prognosis in Colorectal Cancer

Identification of Ferroptosis-Related Biomarkers for Prognosis and Immunotherapy in Patients With Glioma

Risk stratification of lung adenocarcinoma using a nomogram combined with ferroptosis-related LncRNAs and subgroup analysis with immune and N6-methyladenosine modification

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