ArticleCancer medicine2022
Computational detection of a genome instability-derived lncRNA signature for predicting the clinical outcome of lung adenocarcinoma.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 23 citations in OpenAlex.
- Characterization of an endoplasmic reticulum stress-associated lncRNA prognostic signature and the tumor-suppressive role of RP11-295G20.2 knockdown in lung adenocarcinoma.Scientific reports · 2024Article
- Development and validation of a disulfidptosis and disulfide metabolism-related risk index for predicting prognosis in lung adenocarcinoma.Cancer cell international · 2024Article
- Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma.Frontiers in pharmacology · 2024Article
- Comprehensive landscape and future perspective of long noncoding RNAs in non-small cell lung cancer: it takes a village.Molecular therapy : the journal of the American Society of Gene Therapy · 2023Review
- Ginsenoside Rh2 attenuates the progression of non-small cell lung cancer by sponging miR-28-5p/STK4 axis and inactivating Wnt/β-catenin signaling.Cancer medicine · 2023Article
- Forkhead box L2 is a target of miR-133b and plays an important role in the pathogenesis of non-small cell lung cancer.Cancer medicine · 2023Article
- Article
- A novel machine learning model based on ubiquitin-related gene pairs and clinical features to predict prognosis and treatment effect in colon adenocarcinoma.European journal of medical research · 2023Article
- Identification and validation of novel prognostic biomarkers and therapeutic targets for non-small cell lung cancer.Frontiers in genetics · 2023Article
- Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma.Frontiers in cell and developmental biology · 2023Article
- Construction and validation of a nomogram based on N6-Methylandenosine-related lncRNAs for predicting the prognosis of non-small cell lung cancer patients.Cancer medicine · 2023Article
- Computational detection of a genome instability-derived lncRNA signature for predicting the clinical outcome of lung adenocarcinoma.Cancer medicine · 2022Article
- Development and validation of a combined glycolysis and immune prognostic signature for lung squamous cell carcinoma.Frontiers in genetics · 2022Article
- Construction of five cuproptosis-related lncRNA signature for predicting prognosis and immune activity in skin cutaneous melanoma.Frontiers in genetics · 2022Article
- Identification of an Immune Classification and Prognostic Genes for Lung Adenocarcinoma Based on Immune Cell Signatures.Frontiers in medicine · 2022Article
- mFrontiers in oncology · 2022Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evidence has been emerging of the importance of long non-coding RNAs (lncRNAs) in genome instability. However, no study has established how to classify such lncRNAs linked to genomic instability, and whether that connection poses a therapeutic significance. Here, we established a computational frame derived from mutator hypothesis by combining profiles of lncRNA expression and those of somatic mutations in a tumor genome, and identified 185 candidate lncRNAs associated with genomic instability in lung adenocarcinoma (LUAD). Through further studies, we established a six lncRNA-based signature, which assigned patients to the high- and low-risk groups with different prognosis. Further validation of this signature was performed in a number of separate cohorts of LUAD patients. In addition, the signature was found closely linked to genomic mutation rates in patients, indicating it could be a useful way to quantify genomic instability. In summary, this research offered a novel method by through which more studies may explore the function of lncRNAs and presented a possible new way for detecting biomarkers associated with genomic instability in cancers.
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