ArticleOncology letters2018
Bioinformatics analysis of RNA sequencing data reveals multiple key genes in uterine corpus endometrial carcinoma.
Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed, 20 citations in OpenAlex.
- Identification of hub genes and pathways in Uterine corpus endometrial carcinoma (UCEC): A comprehensiveBiochemistry and biophysics reports · 2024Article
- Gene Co-Expression Network Analysis Associated with Endometrial Cancer Tumorigenesis and Survival Outcomes.International journal of molecular sciences · 2024Article
- Mechanism of action of icaritin on uterine corpus endometrial carcinoma based on network pharmacology and experimental evaluation.Frontiers in oncology · 2023Article
- Novel DNA Damage-Related Subtypes Characterization Identifies Uterine Corpus Endometrial Carcinoma (UCEC) Based on Machine Learning.Journal of oncology · 2022Article
- COVID-19-associated lncRNAs as predictors of survival in uterine corpus endometrial carcinoma: A prognostic model.Frontiers in genetics · 2022Article
- In silico Approach for Validating and Unveiling New Applications for Prognostic Biomarkers of Endometrial Cancer.Cancers · 2021Article
- Identification of Tumor Tissue of Origin with RNA-Seq Data and Using Gradient Boosting Strategy.BioMed research international · 2021Article
- Functional genomics of AP-2α and AP-2γ in cancers: in silico study.BMC medical genomics · 2020Article
- Identification of early stage recurrence endometrial cancer biomarkers using bioinformatics tools.Oncology reports · 2020Observational
- [BUB1 gene is highly expressed in gastric cancer:analysis based on Oncomine database and bioinformatics].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020Article
- Identifying an Eight-Gene Signature to Optimize Overall Survival Prediction of Esophageal Adenocarcinoma Using Bioinformatics Analysis of ceRNA Network.OncoTargets and therapy · 2020Article
- Stemness Related Genes Revealed by Network Analysis Associated With Tumor Immune Microenvironment and the Clinical Outcome in Lung Adenocarcinoma.Frontiers in genetics · 2020Article
- Article
- Differential gene expression induced by Verteporfin in endometrial cancer cells.Scientific reports · 2019Article
- Identification of a six-gene signature with prognostic value for patients with endometrial carcinoma.Cancer medicine · 2018Article
- Prognostic Genes of Breast Cancer Identified by Gene Co-expression Network Analysis.Frontiers in oncology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the present study, the RNA sequencing (RNA-seq) data of uterine corpus endometrial carcinoma (UCEC) samples were collected and analyzed using bioinformatics tools to identify potential genes associated with the development of UCEC. UCEC RNA-seq data were downloaded from The Cancer Genome Atlas database. Differential analysis was performed using edgeR software. A false discovery rate <0.01 and |log
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.