Autophagy related long non-coding RNA and breast cancer prognosis analysis and prognostic risk model establishment

Abstract

Background: The role of autophagy-related long-stranded non-coding RNA (lncRNA) in breast cancer (BRCA) is unclear. We proposed to screen autophagy-related lncRNAs in BRCA and construct a prognostic risk assessment model to explore prognostic correlates. Methods:We extracted BRCA lncRNAs from The Cancer Genome Atlas (TCGA) database and autophagy-related genes from the Human Autophagy Database (HADb), to screen for autophagy-related lncRNA pairs (ARLP) in BRCA. Single-factor Cox regression analysis and multi-factor Cox regression analysis were used to screen lncRNAs associated with BRCA prognosis, and risk models were established. We divided BRCA patients into high-risk and low-risk groups based on median risk scores. The single-sample gene set enrichment analysis (ssGSEA) algorithm was used to calculate the abundance of 28 immune cells in the TCGA-BRCA cohort and to analyze the relationship between the risk score and the level of immune cell infiltration by ARLP characteristics.Results: Univariate Cox regression results showed that 42 ARLPs were significantly associated with overall survival (OS) in BRCA patients. Further multifactorial analysis showed that a total of 11 lncRNAs, including

Fatty acid metabolism-related lncRNAs are potential biomarkers for survival prediction in clear cell renal cell carcinoma

“…However, additional investigations are need to confirm this hypothesis. Previous study indicated that CYTOR, [70] MIRLET7BHG, [71] SNHG17, [72] and MAPT-AS1 [73] were autophagy-related lncRNAs by Pearson’s correlation test. Autophagy has the ability to control FA metabolism, as evidenced by studies, [74,75] which is probably why these lnc RNAs were implicated in our ceRNA network connected to FA metabolism.…”

Risk Model and Immune Signature of m7G-Related lncRNA Based on Lung Adenocarcinoma

“…Immune cell bubble plots showed that low-risk groups had higher levels of immune infiltration. It has been reported that the high immune infiltration state tends to have a better immunotherapeutic effect ( Guo et al, 2022 ; Luo et al, 2022 ). Interestingly, immune scores and immune checkpoint expression levels were also higher in the low-risk group, which is consistent with the results of Yu et al (2021) .…”

“…They are not generally considered to encode proteins but are involved in the regulation of different levels (epigenetic regulation, transcriptional regulation, and post-transcriptional regulation) of genes encoding proteins in the form of RNA ( Juhling et al, 2009 ; Spizzo et al, 2012 ). Several lncRNAs, including ferroptosis-related lncRNAs ( Chen et al, 2022 ), pyroptosis-related lncRNAs ( Xu et al, 2022 ), and autophagy-related lncRNAs ( Luo et al, 2022 ), have recently been implicated in prognosis in cancer patients, while m7G-related lncRNAs have rarely been reported.…”

Identification of a prognostic risk-scoring model and risk signatures based on glycosylation-associated cluster in breast cancer

“…This suggests that LINC01871 may play a protective role in breast cancer. According to a recent review of the literature, LINC01871 has been identified by several studies in breast cancer through bioinformatic measurement involving the cellular phenotype of autophagy ( Li et al, 2021 ; Wu et al, 2021 ; Jiang et al, 2022 ; Luo et al, 2022 ), stemness ( Li et al, 2020 ), immune response ( Ma et al, 2020 ; Mathias et al, 2021 ), ferroptosis ( Xu et al, 2021 ), and lipid metabolism ( Shi et al, 2022 ). IGLC2 has a similar expression and functional pattern to LINC01871 in our study ( Figure 8 ).…”