ArticleCancer medicine2021
Identification of a competing endogenous RNA axis "SVIL-AS1/miR-103a/ICE1" associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis.
Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 12 citations in OpenAlex.
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- Crosstalk among disulfidptosis-related lncRNAs in lung adenocarcinoma reveals a correlation with immune profile and clinical prognosis.Non-coding RNA research · 2024Article
- Engineered exosomes transporting the lncRNA, SVIL-AS1, inhibit the progression of lung cancer via targeting miR-21-5p.American journal of cancer research · 2024Article
- Duality of the SVIL expression in bladder cancer and its correlation with immune infiltration.Scientific reports · 2023Article
- Integrated analysis to identify the AC005154.6/hsa-miR-29c-3p/CCNL2 axis as a novel prognostic biomarker associated with immune infiltration in prostate cancer.Cancer cell international · 2022Article
- Identification of a competing endogenous RNA axis "SVIL-AS1/miR-103a/ICE1" associated with chemoresistance in lung adenocarcinoma by comprehensive bioinformatics analysis.Cancer medicine · 2021Article
- Weighted Gene Co-Expression Network Analysis and Treatment Strategies of Tumor Recurrence-Associated Hub Genes in Lung Adenocarcinoma.Frontiers in genetics · 2021Article
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3 authors at 2 institutions in 1 country.
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Abstract
backgroundChemotherapy is an important treatment for lung cancer. The molecular mechanism of lung adenocarcinoma (LUAD) chemoresistance is not completely understood.
methodsWeighted gene co-expression network analysis (WGCNA) was applied to screen the modules related to chemosensitivity using the data of LUAD patients receiving chemotherapy in The Cancer Genome Atlas database. GDCRNATools package was used to establish competing endogenous RNA (ceRNA) network based on the key chemotherapy-related module. Kaplan-Meier and risk models were used to analyze the influence of genes in the ceRNA network on the prognosis of LUAD patients receiving chemotherapy. Cell counting kit-8, reverse transcription-quantitative PCR, and dual-luciferase reporter assay were used to detect the effects of abnormal expression of genes in the ceRNA network on the proliferation and IC50 of cisplatin (DDP)-resistant LUAD cells, and the targeting relationship of genes in the ceRNA network. The signaling pathways and functions of ICE1 in LUAD were analyzed by LinkOmics and CancerSEA databases, and validated by Western blot.
resultsMidnightblue module was the only WGCNA module positively correlated with chemosensitivity, in which the function of genes was related to cancer progression. SVIL-AS1/miR-103a/ICE1 was constructed based on midnightblue module. High expression of SVIl-AS1 and ICE1 corresponded to a favorable prognosis. High expression of miR-103a corresponded to a dismal prognosis. SVIl-AS1 was downregulated in DDP-resistant LUAD cells. SVIL-AS1 overexpression retarded the proliferation and DDP resistance of DDP-resistant LUAD cell. miR-103a was sponged by SVIL-AS1 and directly targeted ICE1. miR-103a overexpression and ICE1 knockdown overturned the suppressive effect of SVIL-AS1 overexpression on cell proliferation and DDP resistance. Further bioinformatics analysis and experimental verification showed that SVIL-AS1/miR-103a-3p/ICE1 axis can enhance DNA damage caused by chemotherapeutic agents.
conclusionsSVIL-AS1 inhibited chemoresistance by acting as a sponge for miR-103a and upregulating ICE1 expression, which may be a potential therapeutic target for chemotherapy in LUAD.
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