ArticleBiomedicines2020
A Non-Coding RNA Landscape of Bronchial Epitheliums of Lung Cancer Patients.
Article in Biomedicines, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- Identification of ncRNA Biomarkers in Non-Small Cell Lung Cancer to Address Racial Disparities.Cancer research communications · 2024Article
- Article
- SAGESDA: Multi-GraphSAGE networks for predicting SnoRNA-disease associations.Current research in structural biology · 2024Article
- Article
- Extracellular circulating miRNAs as potential non-invasive biomarkers in non-small cell lung cancer patients.Frontiers in oncology · 2023Review
- Transcriptomic Analyses Reveal Long Non-Coding RNA in Peripheral Blood Mononuclear Cells as a Novel Biomarker for Diagnosis and Prognosis of Hepatocellular Carcinoma.International journal of molecular sciences · 2022Article
- PIWI-interacting RNA (piRNA): a narrative review of its biogenesis, function, and emerging role in lung cancer.Asian biomedicine : research, reviews and news · 2022Review
- Long non-coding RNA SNHG9 regulates viral replication in rhabdomyosarcoma cells infected with enterovirus D68Frontiers in microbiology · 2022Article
- High-Throughput Detection of Multiple miRNAs and Methylated DNA by Droplet Digital PCR.Journal of personalized medicine · 2021Article
- Microbiota Biomarkers for Lung Cancer.Diagnostics (Basel, Switzerland) · 2021Article
- Field Cancerization in NSCLC: A New Perspective on MicroRNAs in Macrophage Polarization.International journal of molecular sciences · 2021Review
- LncRNA SNHG9 is a prognostic biomarker and correlated with immune infiltrates in prostate cancer.Translational andrology and urology · 2021Article
- Integrated analysis of miRNAs and DNA methylation identifies miR-132-3p as a tumor suppressor in lung adenocarcinoma.Thoracic cancer · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
We propose to systematically identify a non-coding RNA (ncRNA) profile of exfoliated bronchial epitheliums of sputum from lung cancer patients. Bronchial epithelial cells enriched from sputum of 32 lung cancer patients and 33 cancer-free smokers were analyzed by next-generation sequencing to comprehensively characterize the ncRNA profiles. In addition, 108 miRNAs, 88 small nucleolar RNAs, 13 piwi-interacting RNAs, 6 transfer RNAs, 4 ribosomal RNAs, 19 small nuclear RNAs, and 25 long-noncoding (lnc) RNAs displayed a significantly different level in bronchial epitheliums of sputum of lung cancer patients versus cancer-free smokers (all <0.001). PCR analysis confirmed their different expression levels in the sputum specimens. A high expression of SNHG9, an lncRNA, was validated in 78 lung tumor tissues, and the expression was inversely associated with overall survival of lung cancer patients (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.