ArticleOncotarget2016
Read-through transcripts in normal human lung parenchyma are down-regulated in lung adenocarcinoma.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 19 citations in OpenAlex.
- THE1 repeats: Ancient endogenous retroviruses rampaging behind sarcoid myopathy.Journal of human genetics · 2026Review
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- GFSeeker: a splicing-graph-based approach for accurate gene fusion detection from long-read RNA sequencing data.Briefings in bioinformatics · 2026Article
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- Development and Validation of the novel Cuproptosis- and Immune-related Signature for Predicting Prognosis in Hepatocellular Carcinoma.Journal of Cancer · 2024Article
- [Read-through circular RNA rt-circ-HS promotes hypoxia inducible factor 1α expression and renal carcinoma cell proliferation, migration and invasiveness].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2023Article
- Accurate detection of tumor-specific gene fusions reveals strongly immunogenic personal neo-antigens.Nature biotechnology · 2022Article
- NETosis is critical in patients with severe community-acquired pneumonia.Frontiers in immunology · 2022Article
- Expression, Prognosis and Gene Regulation Network of NFAT Transcription Factors in Non-Small Cell Lung Cancer.Pathology oncology research : POR · 2021Article
- Read-through circular RNAs reveal the plasticity of RNA processing mechanisms in human cells.RNA biology · 2020Article
- Fusion Transcripts of Adjacent Genes: New Insights into the World of Human Complex Transcripts in Cancer.International journal of molecular sciences · 2019Review
- Molecular mechanisms and pathobiology of oncogenic fusion transcripts in epithelial tumors.Oncotarget · 2019Review
- Overexpression of KLHL23 protein from read-through transcription ofFEBS open bio · 2016Article
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Authors and funding
14 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Read-through transcripts result from the continuous transcription of adjacent, similarly oriented genes, with the splicing out of the intergenic region. They have been found in several neoplastic and normal tissues, but their pathophysiological significance is unclear. We used high-throughput sequencing of cDNA fragments (RNA-Seq) to identify read-through transcripts in the non-involved lung tissue of 64 surgically treated lung adenocarcinoma patients. A total of 52 distinct read-through species was identified, with 24 patients having at least one read-through event, up to a maximum of 17 such transcripts in one patient. Sanger sequencing validated 28 of these transcripts and identified an additional 15, for a total of 43 distinct read-through events involving 35 gene pairs. Expression levels of 10 validated read-through transcripts were measured by quantitative PCR in pairs of matched non-involved lung tissue and lung adenocarcinoma tissue from 45 patients. Higher expression levels were observed in normal lung tissue than in the tumor counterpart, with median relative quantification ratios between normal and tumor varying from 1.90 to 7.78; the difference was statistically significant (P < 0.001, Wilcoxon's signed-rank test for paired samples) for eight transcripts: ELAVL1-TIMM44, FAM162B-ZUFSP, IFNAR2-IL10RB, INMT-FAM188B, KIAA1841-C2orf74, NFATC3-PLA2G15, SIRPB1-SIRPD, and SHANK3-ACR. This report documents the presence of read-through transcripts in apparently normal lung tissue, with inter-individual differences in patterns and abundance. It also shows their down-regulation in tumors, suggesting that these chimeric transcripts may function as tumor suppressors in lung tissue.
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