ArticleInternational journal of molecular sciences2020
Development and Validation of a Novel 11-Gene Prognostic Model for Serous Ovarian Carcinomas Based on Lipid Metabolism Expression Profile.
Article in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed.
- Outcome-Adaptive Lasso for Cox Proportional Hazards Model.Biometrical journal. Biometrische Zeitschrift · 2026Article
- KLRB1 gene in tumor immune regulation and disease prognosis: a multidimensional role review.Discover oncology · 2026Review
- Exploration of prognosis and immune infiltration characteristics in glioblastoma multiforme based on lipid metabolism related genes.Discover oncology · 2025Article
- Exploring the role of lipid metabolism related genes and immune microenvironment in periodontitis by integrating machine learning and bioinformatics analysis.Scientific reports · 2025Article
- Necroptosis-Related Gene Signature Predicts Prognosis in Patients with Advanced Ovarian Cancer.Cancers · 2025Article
- Constructing and identifying an eighteen-gene tumor microenvironment prognostic model for non-small cell lung cancer.World journal of surgical oncology · 2024Article
- Expression characteristics of lipid metabolism-related genes and correlative immune infiltration landscape in acute myocardial infarction.Scientific reports · 2024Article
- HIF-2α-dependent TGFBI promotes ovarian cancer chemoresistance by activating PI3K/Akt pathway to inhibit apoptosis and facilitate DNA repair process.Scientific reports · 2024Article
- Prediction and verification of the prognostic biomarkerOncology letters · 2024Article
- Identification of Copper Homeostasis-Related Gene Signature for Predicting Prognosis in Patients with Epithelial Ovarian Cancer.Cancer informatics · 2024Article
- Comprehensive analysis based on glycolytic and glutaminolytic pathways signature for predicting prognosis and immunotherapy in ovarian cancer.Journal of Cancer · 2024Article
- Transcriptomic analysis reveals the lipid metabolism-related gene regulatory characteristics and potential therapeutic agents for myocardial ischemia-reperfusion injury.Frontiers in cardiovascular medicine · 2024Article
- A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer.Frontiers in endocrinology · 2024Article
- Personalization of Therapy in High-Grade Serous Tubo-Ovarian Cancer-The Possibility or the Necessity?Journal of personalized medicine · 2023Review
- RGS2 and female common diseases: a guard of women's health.Journal of translational medicine · 2023Review
- Identification of two novel lipid metabolism-related long non-coding RNAs (SNHG17 and LINC00837) as potential signatures for osteosarcoma prognosis and precise treatment.BMC medical genomics · 2023Article
- Construction of a lipid metabolism-related risk model for hepatocellular carcinoma by single cell and machine learning analysis.Frontiers in immunology · 2023Article
- Identification of an Individualized Prognostic Biomarker for Serous Ovarian Cancer: A Qualitative Model.Diagnostics (Basel, Switzerland) · 2022Article
- Biobehavioral factors predict an exosome biomarker of ovarian carcinoma disease progression.Cancer · 2022Article
- GDPD5 Related to Lipid Metabolism Is a Potential Prognostic Biomarker in Neuroblastoma.International journal of molecular sciences · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
(1) Background: Biomarkers might play a significant role in predicting the clinical outcomes of patients with ovarian cancer. By analyzing lipid metabolism genes, future perspectives may be uncovered; (2) Methods: RNA-seq data for serous ovarian cancer were downloaded from The Cancer Genome Atlas and Gene Expression Omnibus databases. The non-negative matrix factorization package in programming language R was used to classify molecular subtypes of lipid metabolism genes and the limma package in R was performed for functional enrichment analysis. Through lasso regression, we constructed a multi-gene prognosis model; (3) Results: Two molecular subtypes were obtained and an 11-gene signature was constructed (PI3, RGS, ADORA3, CH25H, CCDC80, PTGER3, MATK, KLRB1, CCL19, CXCL9 and CXCL10). Our prognostic model shows a good independent prognostic ability in ovarian cancer. In a nomogram, the predictive efficiency was notably superior to that of traditional clinical features. Related to known models in ovarian cancer with a comparable amount of genes, ours has the highest concordance index; (4) Conclusions: We propose an 11-gene signature prognosis prediction model based on lipid metabolism genes in serous ovarian cancer.
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.