ArticleOncology letters2020
Monitoring methylation-driven genes as prognostic biomarkers in patients with lung squamous cell cancer.
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 16 citations in OpenAlex.
- Development and validation of an 11-CpG methylation signature-based nomogram for predicting prognosis in early-onset breast cancer.Translational cancer research · 2026Article
- Asparagine-linked glycosylation protein 1 (ALG1) promotes aggressive phenotypes of lung adenocarcinoma cells, A549, via modulating N-linked glycosylation and ER-Stress.Glycoconjugate journal · 2025Article
- The glycogene alterations and potential effects in esophageal squamous cell carcinoma.Cellular and molecular life sciences : CMLS · 2024Article
- Universal penalized regression (Elastic-net) model with differentially methylated promoters for oral cancer prediction.European journal of medical research · 2024Article
- Article
- Epigenome-wide DNA methylation in leukocytes and toenail metals: The normative aging study.Environmental research · 2023Article
- Article
- Integrated Molecular Analysis Reveals 2 Distinct Subtypes of Pure Seminoma of the Testis.Cancer informatics · 2022Article
- Screening of key methylation-driven genes CDO1 in breast cancer based on WGCNA.Cancer biomarkers : section A of Disease markers · 2022Article
- Clinicopathological implications of lncRNAs, immunotherapy and DNA methylation in lung squamous cell carcinoma: a narrative review.Translational cancer research · 2021Review
- Identification and assessment of PLK1/2/3/4 in lung adenocarcinoma and lung squamous cell carcinoma: Evidence from methylation profile.Journal of cellular and molecular medicine · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aberrant DNA methylations have been reported to be significantly associated with lung squamous cell cancer (LUSC). The aim of this study was to investigate the DNA methylation-driven genes in LUSC by integrative bioinformatics analysis. In the present study, methylation-driven genes in LUSC were screened out, and survival analysis related to these genes was performed to confirm their value in prognostic assessment. Gene expression and methylation data were downloaded from The Cancer Genome Atlas (TCGA), and the MethylMix algorithm was used to identify methylation-driven genes. ConsensusPathDB was used to perform Gene Ontology and pathway enrichment analysis of methylation-driven genes. Survival analysis was performed to investigate the correlation with prognosis. In total, 52 differentially expressed methylation-driven genes were identified in LUSC and adjacent tissues. Survival analysis showed that
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.