ArticleInternational journal of molecular sciences2024
Proteomic Analysis of Biomarkers Predicting Treatment Response in Patients with Head and Neck Cancers.
Article in International journal of molecular sciences, 2024. 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.
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.
- ProteoBoostR: an interactive framework for supervised machine learning in clinical proteomics.Clinical proteomics · 2026Article
- Serum Protein Signatures for Breast Cancer Detection in Treatment-Naïve African American Women Using Integrated Proteomics and Pattern Analysis.Sensors (Basel, Switzerland) · 2026Article
- Advances in Prevention, Screening, and Early Detection of HPV-Associated Head and Neck Cancers.Viruses · 2025Review
- Article
- Radiation Therapy Personalization in Cancer Treatment: Strategies and Perspectives.International journal of molecular sciences · 2025Review
- Pescadillo ribosomal biogenesis factor 1 and programmed death-ligand 1 in gastric and head and neck squamous cell carcinoma.World journal of gastroenterology · 2025Article
- Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Head and neck cancers (HNCs) are the sixth most commonly diagnosed cancer and the eighth leading cause of cancer-related mortality worldwide, with squamous cell carcinoma being the most prevalent type. The global incidence of HNCs is steadily increasing, projected to rise by approximately 30% per year by 2030, a trend observed in both developed and undeveloped countries. This study involved serum proteomic profiling to identify predictive clinical biomarkers in cancer patients undergoing chemoradiotherapy (CRT). Fifteen HNC patients at Tikur Anbessa Specialized Hospital, Radiotherapy (RT) center in Addis Ababa were enrolled. Serum samples were collected before and after RT, and patients were classified as responders (R) or non-responders (NR). Protein concentrations in the serum were determined using the Bradford assay, followed by nano-HPLC-MS/MS for protein profiling. Progenesis QI for proteomics identified 55 differentially expressed proteins (DEPs) between R and NR, with a significance of
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Registered trials
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