ArticleCurrent cancer drug targets2024
Cuproptosis Related Gene
Article in Current cancer drug targets, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- Cuproptosis as a therapeutic target in cancer: a Systematic Review and bibliometric analysis of the research landscape.Frontiers in oncology · 2025Pooled it
- Dihydrolipoamide dehydrogenase promotes hepatocellular carcinoma progression and modulates cuproptosis-dependent cell death.Functional & integrative genomics · 2026Article
- Identification and Validation of DLD as a Cuproptosis-Associated Biomarker in Preeclampsia.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Identification of Ferroptosis-Related Hub Genes and Immune Infiltration Landscape in Chronic Kidney Disease via Bioinformatics and Experimental Verification.Immunity, inflammation and disease · 2026Article
- Targeting cuproptosis for cancer therapy: Focus on the anti-tumor immune system.Cancer pathogenesis and therapy · 2025Review
- Big data analysis and machine learning of the role of cuproptosis-related long non-coding RNAs (CuLncs) in the prognosis and immune landscape of ovarian cancer.Frontiers in immunology · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
purposeCuproptosis plays a crucial role in the biological function of cells. The subject of this work was to analyze the effects of cuproptosis-related genes (CRGs) on the prognosis and biological function in lung adenocarcinoma (LUAD).
methodsIn this study, RNA sequencing and clinical data of LUAD samples were screened from public databases and our institution. A CRG signature was identified by least absolute shrinkage and selection operator and Cox regression. In addition, this study analyzed the correlation between prognostic CRGs and clinicopathological features. Finally, this study studied the effect of inhibiting dihydrolipoamide dehydrogenase (
resultsThere were 10 CRGs that showed differential expression between LUAD and normal tissues (p<0.05). A prognostic signature (
conclusionOverall, this prognostic CRG signature may play a pivotal role in LUAD outcome, while oncogene
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.