ArticleClinical proteomics2019
Identification of prothymosin alpha (PTMA) as a biomarker for esophageal squamous cell carcinoma (ESCC) by label-free quantitative proteomics and Quantitative Dot Blot (QDB).
Article in Clinical proteomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 45 citations in OpenAlex.
- Advances in multi-omics for esophageal squamous cell carcinoma: diagnostic, prognostic, and therapeutic perspectives.Protein & cell · 2026Review
- Superenhancers shape the landscape and repair dynamics of transcription-associated DNA breaks in cancer.Science advances · 2026Article
- The cost of persistent alarm: temporal transcriptional reprogramming of macrophages from acute activation to chronic immune suppression by day 11.Frontiers in immunology · 2026Article
- HOGA1 Suppresses Renal Cell Carcinoma Growth via Inhibiting the Wnt/β-Catenin Signalling Pathway.Journal of cellular and molecular medicine · 2025Article
- RNA-seq-based elucidation of lactylation in breast cancer.Archives of medical science : AMS · 2025Article
- Telomere Maintenance-Related Genes are Essential for Prognosis in Breast Cancer.Breast cancer (Dove Medical Press) · 2025Article
- Development of a novel prognostic model for mantle cell lymphoma based on quantitative detection of CD3 by quantitative dot blot.Frontiers in oncology · 2025Article
- Circular RNA COL1A1 promotes Warburg effect and tumor growth in nasopharyngeal carcinoma.Discover oncology · 2024Article
- Preoperative serum bilirubin is an independent prognostic factor for curatively resected esophageal squamous cell carcinoma.BMC cancer · 2023Article
- Molecular Characterization of Esophageal Squamous Cell Carcinoma Using Quantitative Proteomics.Cancers · 2023Article
- PTMA binds to HMGB1 to regulate mitochondrial oxidative phosphorylation and thus affect the malignant progression of esophageal squamous cell carcinoma.Journal of thoracic disease · 2023Article
- Identification of afatinib-associated ADH1B and potential small-molecule drugs targeting ADH1B for hepatocellular carcinoma.Frontiers in pharmacology · 2023Article
- Identification of Potential Biomarkers Using Integrative Approach: A Case Study of ESCC.SN computer science · 2023Article
- Article
- Exploring the cell-free total RNA transcriptome in diffuse large B-cell lymphoma and primary mediastinal B-cell lymphoma patients as biomarker source in blood plasma liquid biopsies.Frontiers in oncology · 2023Article
- Single-cell transcriptomics reveals heterogeneity in esophageal squamous epithelial cells and constructs models for predicting patient prognosis and immunotherapy.Frontiers in immunology · 2023Article
- Identification and validation of a 9-gene signature for the prognosis of ovarian cancer by integrated bioinformatical analysis.Annals of translational medicine · 2022Article
- Serum proteomics unveil characteristic protein diagnostic biomarkers and signaling pathways in patients with esophageal squamous cell carcinoma.Clinical proteomics · 2022Article
- Overexpression of prothymosin-α in glioma is associated with tumor aggressiveness and poor prognosis.Bioscience reports · 2022Article
- S100A4/TCF Complex Transcription Regulation Drives Epithelial-Mesenchymal Transition in Chronic Sinusitis Through Wnt/GSK-3β/β-Catenin Signaling.Frontiers in immunology · 2022Article
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Authors and funding
16 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal cancer (EC) is one of the malignant tumors with a poor prognosis. The early stage of EC is asymptomatic, so identification of cancer biomarkers is important for early detection and clinical practice.
methodsIn this study, we compared the protein expression profiles in esophageal squamous cell carcinoma (ESCC) tissues and adjacent normal esophageal tissues from five patients through high-resolution label-free mass spectrometry. Through bioinformatics analysis, we found the differentially expressed proteins of ESCC. To perform the rapid identification of biomarkers, we adopted a high-throughput protein identification technique of Quantitative Dot Blot (QDB). Meanwhile, the QDB results were verified by classical immunohistochemistry.
resultsIn total 2297 proteins were identified, out of which 308 proteins were differentially expressed between ESCC tissues and normal tissues. By bioinformatics analysis, the four up-regulated proteins (PTMA, PAK2, PPP1CA, HMGB2) and the five down-regulated proteins (Caveolin, Integrin beta-1, Collagen alpha-2(VI), Leiomodin-1 and Vinculin) were selected and validated in ESCC by Western Blot. Furthermore, we performed the QDB and IHC analysis in 64 patients and 117 patients, respectively. The PTMA expression was up-regulated gradually along the progression of ESCC, and the PTMA expression ratio between tumor and adjacent normal tissue was significantly increased along with the progression. Therefore, we suggest that PTMA might be a potential candidate biomarker for ESCC.
conclusionIn this study, label-free quantitative proteomics combined with QDB revealed that PTMA expression was up-regulated in ESCC tissues, and PTMA might be a potential candidate for ESCC. Since Western Blot cannot achieve rapid and high-throughput screening of mass spectrometry results, the emergence of QDB meets this demand and provides an effective method for the identification of biomarkers.
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