ArticleCell cycle (Georgetown, Tex.)2019
Identification of a novel glycolysis-related gene signature that can predict the survival of patients with lung adenocarcinoma.
Article in Cell cycle (Georgetown, Tex.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 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
45 citing papers in PubMed.
- REDD1 Affects Proliferation, Apoptosis, Migration, and Colony Formation via p-ERK and p-JNK Signaling in Lung Adenocarcinoma Cells Under Hypoxia.Biomedicines · 2025Article
- Analysing glycolysis-related genes reveals the prognostic and diagnostic relevance of IER3 and AGRN in colorectal cancer.Genes & genomics · 2025Article
- A Glycolysis and gluconeogenesis-related model for breast cancer prognosis.Cancer biomarkers : section A of Disease markers · 2024Article
- LINC00665 promotes glycolysis in lung adenocarcinoma cells via the let-7c-5p/HMMR axis.Journal of bioenergetics and biomembranes · 2024Article
- Pan-cancer analysis of DDIT4 identifying its prognostic value and function in acute myeloid leukemia.Journal of cancer research and clinical oncology · 2024Article
- Metabolic adaptation towards glycolysis supports resistance to neoadjuvant chemotherapy in early triple negative breast cancers.Breast cancer research : BCR · 2024Article
- Aldo-keto reductases: Role in cancer development and theranostics.Oncology research · 2024Review
- Article
- The role of long non-coding RNA HCG18 in cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2023Review
- Genome instability-derived genes as a novel prognostic signature for lung adenocarcinoma.Frontiers in cell and developmental biology · 2023Article
- Immunoprognostic model of lung adenocarcinoma and screening of sensitive drugs.Scientific reports · 2022Article
- A glycolysis-related two-gene risk model that can effectively predict the prognosis of patients with rectal cancer.Human genomics · 2022Article
- Identification of seven-gene marker to predict the survival of patients with lung adenocarcinoma using integrated multi-omics data analysis.Journal of clinical laboratory analysis · 2022Article
- A Novel Predictive Model Incorporating Ferroptosis-Related Gene Signatures for Overall Survival in Patients with Lung Adenocarcinoma.Medical science monitor : international medical journal of experimental and clinical research · 2022Article
- Effects of N6-Methyladenosine Regulators on LAG3 and Immune Infiltrates in Lung Adenocarcinoma.Disease markers · 2022Article
- Article
- An integrative analysis of DNA methylation and gene expression to predict lung adenocarcinoma prognosis.Frontiers in genetics · 2022Article
- Establishment of a Prognostic Model of Lung Adenocarcinoma Based on Tumor Heterogeneity.Frontiers in molecular biosciences · 2022Article
- Survival-associated NBMC cancer · 2021Article
- Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.Cancer 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is one of the most malignant cancers worldwide, and lung adenocarcinoma (LUAD) is the most common histologic subtype. Thousands of biomarkers related to the survival and prognosis of patients with this cancer type have been investigated through database mining; however, the prediction effect of a single gene biomarker is not satisfactorily specific or sensitive. Thus, the present study aimed to develop a novel gene signature of prognostic values for patients with LUAD. Using a data-mining method, we performed expression profiling of 1145 mRNAs in large cohorts with LUAD (n = 511) from The Cancer Genome Atlas database. Using the Gene Set Enrichment Analysis, we selected 198 genes related to GLYCOLYSIS, which is the most important enrichment gene set. Moreover, these genes were identified using Cox proportional regression modeling. We established a risk score staging system to predict the outcome of patients with LUAD and subsequently identified four genes (AGRN, AKR1A1, DDIT4, and HMMR) that were closely related to the prognosis of patients with LUAD. The identified genes allowed us to classify patients into the high-risk group (with poor outcome) and low-risk group (with better outcome). Compared with other clinical factors, the risk score has a better performance in predicting the outcome of patients with LUAD, particularly in the early stage of LUAD. In conclusion, we developed a four-gene signature related to glycolysis by utilizing the Cox regression model and a risk staging model for LUAD, which might prove valuable for the clinical management of patients with LUAD.
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.