ArticleCancer medicine2022
Identification of a metabolic reprogramming-related signature associated with prognosis and immune microenvironment of head and neck squamous cell carcinoma by in silico analysis.
Article in Cancer medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Comprehensive analysis of metabolic reprogramming-related gene signatures for predicting ovarian cancer prognosis, the immune landscape, and potential treatment options.Discover oncology · 2026Article
- [Cephaeline attenuates malignant biological behaviors of colorectal cancer by regulating the Ras signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2026Article
- Cancer metabolism: bridging tumorigenesis mechanisms to treatment susceptibility.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026Review
- Mechanisms and Therapeutic Strategies to Overcome Immune Checkpoint Inhibitor Resistance in Melanoma, Head and Neck, and Triple-Negative Breast Cancers.Journal of cellular immunology · 2025Article
- Cephaeline promotes ferroptosis by targeting NRF2 to exert anti-lung cancer efficacy.Pharmaceutical biology · 2024Article
- FCGBP functions as a tumor suppressor gene in head and neck squamous cell carcinoma.Discover oncology · 2024Article
- Identification and validation of a metabolism-related gene signature for predicting the prognosis of paediatric medulloblastoma.Scientific reports · 2024Article
- Metabolism-associated molecular classification and prognosis signature of head and neck squamous cell carcinoma.Heliyon · 2024Article
- Immunotherapy in Head and Neck Cancer: Where Do We Stand?Current oncology reports · 2023Review
- Identification of a metabolic reprogramming-related signature associated with prognosis and immune microenvironment of head and neck squamous cell carcinoma by in silico analysis.Cancer medicine · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetabolic reprogramming is one of the essential features of tumorigenesis. Herein, this study aimed to develop a novel metabolism-related gene signature for head and neck squamous cell carcinoma (HNSCC) patients.
methodsThe transcriptomic and clinical data of HNSCC samples were collected from The Cancer Genome Atlas (TCGA) and GSE65858 datasets. The metabolism-related gene-based prognostic signature (MRGPS) was constructed by the Least Absolute Shrinkage and Selection Operator (LASSO) regression model. The time-dependent receiver operating characteristic (ROC) and Kaplan-Meier (K-M) survival curves were plotted for evaluating its predicting performance. At the same time, univariate along with multivariate analysis was carried out to explore its correlation with clinicopathologic factors. Furthermore, GSEA analysis was performed to explore the signaling pathways affected by MRGPS. We also analyzed the associations of MRGPS with the tumor immune microenvironment (TIME), as well as identified potential compounds via Connectivity Map (CMap) and molecular docking.
resultsA total of 12 differentially expressed metabolism-related genes were identified and selected to construct the MRGPS. Notably, this signature performed well in predicting HNSCC patients' survival and could serve as an independent prognostic factor in multiple datasets. In addition to the metabolism-related pathway, this signature could also affect some immune-related pathways. The results indicated that MRGPS is correlated with immune cells infiltration and anti-cancer immune response. Furthermore, we identified cephaeline as a potential therapeutic compound for HNSCC.
conclusionTaken together, we established an MRGs-based signature that has the potential to predict the clinical outcome and immune microenvironment, which help to search for potential combination immunotherapy compounds and provide a promising therapeutic strategy for treating HNSCC patients.
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.