ArticleInternational journal of clinical and experimental pathology2015
Proteomic identification of alpha-2-HS-glycoprotein as a plasma biomarker of hypopharyngeal squamous cell carcinoma.
Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- Current Advances of Treatments, Therapeutic Targets, Biomarkers, Novel Drugs, and Machine Learning for Hypopharyngeal Squamous Cell Carcinoma.World journal of otorhinolaryngology - head and neck surgery · 2026Review
- Integrated transcriptome analysis of jejunum and liver to identify key genes and pathways associated with body weight in chickens.Scientific reports · 2026Article
- Fetuin-A Modulates Tumor Growth and Invasion in a Basal-like Triple Negative Breast Cancer Cell line, MDA-MB-468.Journal of pharmacy and pharmacology research · 2025Article
- Improved profiling of low molecular weight serum proteome for gastric carcinoma by data-independent acquisition.Analytical and bioanalytical chemistry · 2022Article
- Microbiome Analysis Investigating the Impacts of Fermented Spent Mushroom Substrates on the Composition of Microbiota in Weaned Piglets Hindgut.Frontiers in veterinary science · 2020Article
- A comparative proteomic study of plasma in Colombian childhood acute lymphoblastic leukemia.PloS one · 2019Article
- Detection and Identification of Serum Peptides Biomarker in Papillary Thyroid Cancer.Medical science monitor : international medical journal of experimental and clinical research · 2018Article
- Downregulation of Calcium-Binding Protein S100A9 Inhibits Hypopharyngeal Cancer Cell Proliferation and Invasion Ability Through Inactivation of NF-κB Signaling.Oncology research · 2017Article
- Article
- Proteomic identification of candidate plasma biomarkers for preeclampsia in women with pregnancy-induced hypertension.International journal of clinical and experimental pathology · 2017Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hypopharyngeal squamous cell carcinoma (HSCC) has very poor prognosis compared with other head and neck squamous cell carcinomas. Late-stage diagnosis of HSCC increases mortality. Therefore, more effective biomarkers for early diagnosis of HSCC are necessary. Unfortunately, appropriate biomarkers for clinical diagnosis and prognosis have not been identified yet. However, recent progresses in quantitative proteomics have offered opportunities to identify plasma proteins as biomarkers for HSCC. In the present study, plasma samples were analyzed by two-dimensional differential gel electrophoresis (2D-DIGE), and differentially expressed proteins were identified by matrix assisted laser desorption ionization-time of flight/time of flight mass spectrometry (MALDI-TOF/TOF MS). A total of 26 proteins representing 12 unique gene products were identified. The up-regulation proteins were alpha-2-HS-glycoprotein (AHSG), complement C4-B, haptoglobin, C-reactive protein, and ceruloplasmin, whereas the down-regulation proteins were serum albumin, angiotensinogen, alpha-1-antichymotrypsin, Ig gamma-3 chain C region, fibrinogen gamma chain, apolipoprotein A-I, and Ig kappa chain C region. Among all the differentially expressed proteins, AHSG was validated by western blot and ELISA. The results were consistent with the data from 2D-DIGE, further suggesting that AHSG may be employed as a potential biomarker for the early diagnosis of HSCC. In summary, this study was the first to use 2D-DIGE and MALDI-TOF/TOF platform to identify the potential plasma biomarkers for HSCC. The plasma AHSG showed great potential for HSCC screening.
Indexed as
Identifiers
26464644PMC4583876W2407887585What 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.