ArticlePathology oncology research : POR2021
Identification of a Novel Epithelial-Mesenchymal Transition Gene Signature Predicting Survival in Patients With HNSCC.
Article in Pathology oncology research : POR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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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.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Development of a cancer metastasis-associated risk model via multi-machine-learning algorithms for prognostic risk evaluation and clinical application in oral squamous cell carcinoma.Journal of translational medicine · 2025Article
- Multifaceted role of the actin-binding protein WIP: Promotor and inhibitor of tumor progression and dissemination.Cytoskeleton (Hoboken, N.J.) · 2025Review
- Cetuximab chemotherapy resistance: Insight into the homeostatic evolution of head and neck cancer (Review).Oncology reports · 2024Review
- WIPF1 promotes gastric cancer progression by regulating PI3K/Akt signaling in a myocardin-dependent manner.iScience · 2023Article
- Comprehensive analyses of a CD8BMC bioinformatics · 2023Article
- An EMT-based gene signature enhances the clinical understanding and prognostic prediction of patients with ovarian cancers.Journal of ovarian research · 2023Article
- Pan-Cancer Analyses Reveal Oncogenic and Immunological Role of PLOD2.Frontiers in genetics · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Head and neck squamous cell cancer (HNSCC) is one of the most common types of cancer worldwide. There have been many reports suggesting that biomarkers explored via database mining plays a critical role in predicting HNSCC prognosis. However, a single biomarker for prognostic analysis is not adequate. Additionally, there is growing evidence indicating that gene signature could be a better choice for HNSCC prognosis. We performed a comprehensive analysis of mRNA expression profiles using clinical information of HNSCC patients from The
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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 Socratic graph.