Identification and validation of autophagy-related lncRNA prognostic signature for breast cancer

Li, Xiaoying; Feng, Jiashi; Li, Yang

doi:10.21203/rs.3.rs-47873/v1

Cited by 4 publications

(4 citation statements)

References 22 publications

(22 reference statements)

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“…Interestingly, Z68871.1 was highly expressed in the high-risk group of BC patients, whether in the risk model based on autophagy-related lncRNAs 24 or BCSCrelated lncRNAs. 25 These findings were consistent with our results in the forest plot that AC004585. and other 4 autophagy-related lncRNAs to build the prognostic risk model in BC and found that LINC01871 mainly enriched in low-risk group.…”

Section: Discussionsupporting

confidence: 92%

Identification of pyroptosis‐related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer

Tan

Zhao

et al. 2021

J Cellular Molecular Medi

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Breast cancer (BC) is the most frequently diagnosed female malignancy and one of the leading causes of cancer-related mortality among women worldwide. 1 BC is a highly complex cancer type with histological and molecular heterogeneity, posing an enormous threat to women health due to its extremely high recurrence rate and mortality rate. 2 Although the therapeutic efficacy of BC gains momentum dramatically, unfortunately, the lack of effective hallmarks and diagnostic tools to predict prognosis or long-term survival in BC patients remains a major obstacle to improving strategies for BC detection and treatment. 3 Therefore, it is imperative to explore novel therapeutic targets and reliable prognostic models for optimal clinical outcomes in BC.

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Section: Discussionsupporting

confidence: 92%

Identification of pyroptosis‐related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer

Tan

Zhao

et al. 2021

J Cellular Molecular Medi

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“…Consistently, overexpression of oncogenic SEMA3B-AS1 is associated with poor survival outcomes in hepatocellular carcinoma and gastric cancer [31,32]. Furthermore, recent studies revealed that seven RBPrelated lncRNAs (LINC01871 [33], AC061992.1 [34], AL122010.1 [35], USP30-AS1 [36], Z68871.1 [33,35], AC245297.3 [35], and AP003119.3 [35]) included in the RBPLSig could be prognostic factors in some cancers. Nevertheless, the biological functions and the underlying molecular mechanisms of these lncRNAs in cancer have not yet been clarified.…”

Section: Discussionmentioning

confidence: 82%

Comprehensive Analysis of RNA-Binding Protein-Related lncRNA in Breast Invasive Carcinoma

Zhao¹,

Guo²,

Hou³

et al. 2023

Front. Biosci. (Landmark Ed)

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Background: RNA-binding proteins (RBPs), which form complexes or single/multiple RNA-binding domains, have a functional role in regulating and determining the function or stability of the bound RNAs in various cancers, including breast invasive carcinoma (BRCA). However, the biological functions and clinical implications of RBP-related long noncoding RNAs (lncRNAs) in BRCA remain largely unknown. Methods: Herein, we first identified and characterized RBP-related lncRNAs in BRCA. Then we built an RBP-related lncRNA signature (RBPLSig) and explored the clinical evaluation and prediction performance of the RBPLSig by bioinformatic analysis. In addition, to optimize treatment plans, prediction online tools was developed to predict the patient survival rate. Lastly, to verify the function of lncRNA WAC antisense RNA 1 (WAC-AS1), the experiments such as Quantitative real-time PCR (qRT-PCR), lncRNA knockdown, CCK-8, and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling (TUNEL) staining were performed. We also gained the potential mechanisms of the druggable compounds of the WAC-AS1 related RBP gene, putative NSUN6, using molecular docking. Results: The results showed that RBPLSig, as an independent prognostic factor for BRCA patients, was involved in numerous malignancy-associated immunoregulatory pathways. We found different immune statuses and responses to immunotherapy, chemotherapy, and targeted therapy between the high-and low-risk groups stratified by RBPLSig. Conclusions: Our data broaden the comprehensive understanding of the biological functions of RBP-related lncRNAs, and demonstrate a novel and independent RBPLSig to assess prognosis and the immune microenvironment, thus helping to guide treatment decisions for BRCA.

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“…22,23 Emerging studies have tried to establish novel and effective lncRNAs pattern risk models in malignancy, 24,25 as well as discover molecular character and potential therapy targets of breast cancer patients. 26,27 Until now, the patterns of necroptosis-related lncRNAs in BC and the potential capability of predicting the prognosis has not been elucidated.…”

Section: Discussionmentioning

confidence: 99%

Necroptosis‐related lncRNA to establish novel prognostic signature and predict the immunotherapy response in breast cancer

Chen

Yang²,

Fang

et al. 2022

Clinical Laboratory Analysis

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Background: Necroptosis is a type of programmed cell death, and recent researches have showed that lncRNAs could regulate the process of necroptosis in multiple cancers. We tried to screen necroptosis-related lncRNAs and investigate the immune landscape in breast cancer (BC). Methods:The samples of breast normal and cancer tissue were acquired from TCGA and GTEx databases. A risk prognostic model was constructed based on the identified necroptosis-related lncRNAs by Cox regression and least absolute shrinkage and selection operator (LASSO) method. Moreover, the forecast performance of this model was verified and accredited by synthetic approach. Subsequently, an accurate nomogram was constructed to predict the prognosis of BC patients. The biological differences were investigated through GO, GSEA, and immune analysis. The immunotherapy response was estimated through tumor mutation burden (TMB) and tumor immune dysfunction and exclusion (TIDE) score.Results: A total of 251 necroptosis-related lncRNAs were identified by differential coexpression analysis, and SH3BP5-AS1, AC012073.1, AC120114.1, LINC00377, AL133467.1, AC036108.3, and AC020663.2 were involved in the risk model, which had an excellent concordance with the prediction. The pathway analyses showed that immune-related pathways were relevant to the necroptosis-related lncRNAs risk model. And the risk score was significantly correlated with immune cell infiltration, as well as the ESTIMATE score. Most notably, the patients of higher risk score were characterized with increased TMB and decreased TIDE score, indicating that these patients showed better immune checkpoint blockade response. Conclusion:These findings were conducive to understand the function of necroptosisrelated lncRNAs in BC and provide a potential promising therapeutic strategy for BC.

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Identification and validation of autophagy-related lncRNA prognostic signature for breast cancer

Cited by 4 publications

References 22 publications

Identification of pyroptosis‐related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer

Identification of pyroptosis‐related lncRNAs for constructing a prognostic model and their correlation with immune infiltration in breast cancer

Comprehensive Analysis of RNA-Binding Protein-Related lncRNA in Breast Invasive Carcinoma

Necroptosis‐related lncRNA to establish novel prognostic signature and predict the immunotherapy response in breast cancer

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