ArticleAging2020
Six-gene signature for predicting survival in patients with head and neck squamous cell carcinoma.
Article in Aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed.
- Irofulven and RSL3 synergistically target ferroptosis-related gene PTGR1 to treat head and neck squamous cell carcinoma.Open life sciences · 2026Article
- Non-coding RNAs in laryngeal squamous cell carcinoma: diagnostic biomarkers and emerging exosome-based therapeutic strategies.Cancer cell international · 2025Review
- Article
- DeSide: A unified deep learning approach for cellular deconvolution of tumor microenvironment.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Article
- Identification of an immune-related signature as a prognostic classifier for patients with early-stage head and neck squamous cell carcinoma.Translational cancer research · 2024Article
- Exploring the frontiers: tumor immune microenvironment and immunotherapy in head and neck squamous cell carcinoma.Discover oncology · 2024Review
- Article
- A deep learning method for classification of HNSCC and HPV patients using single-cell transcriptomics.Frontiers in molecular biosciences · 2024Article
- Identification and Validation of MYADM as a Novel Prognostic Marker Related to EMT in ESCC.Journal of Cancer · 2024Article
- Mechanistic analysis of Th2-type inflammatory factors in asthma.Journal of thoracic disease · 2023Article
- Integrated analysis of high‑throughput sequencing reveals the regulatory potential of hsa_circ_0035431 in HNSCC.Oncology letters · 2023Article
- SOCS1 as a Biomarker Candidate for HPV Infection and Prognosis of Head and Neck Squamous Cell Carcinomas.Current issues in molecular biology · 2023Article
- PES1 is a biomarker of head and neck squamous cell carcinoma and is associated with the tumor microenvironment.Cancer medicine · 2023Article
- Dissection of pyroptosis-related prognostic signature and CASP6-mediated regulation in pancreatic adenocarcinoma: new sights to clinical decision-making.Apoptosis : an international journal on programmed cell death · 2023Article
- CDH4 inhibits ferroptosis in oral squamous cell carcinoma cells.BMC oral health · 2023Article
- The organoid as reliable cancer modeling in personalized medicine, does applicable in precision medicine of head and neck squamous cell carcinoma?The pharmacogenomics journal · 2023Review
- Insight on common forms of cutaneous head and neck carcinoma (Review).Molecular and clinical oncology · 2023Review
- Review
- Validation of ESM1 Related to Ovarian Cancer and the Biological Function and Prognostic Significance.International journal of biological sciences · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prognosis of head and neck squamous cell carcinoma (HNSCC) patients remains poor. High-throughput sequencing data have laid a solid foundation for identifying genes related to cancer prognosis, but a gene marker is needed to predict clinical outcomes in HNSCC. In our study, we downloaded RNA Seq, single nucleotide polymorphism, copy number variation, and clinical follow-up data from TCGA. The samples were randomly divided into training and test. In the training set, we screened genes and used random forests for feature selection. Gene-related prognostic models were established and validated in a test set and GEO verification set. Six genes (
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.