RESUMEN
BACKGROUND: Esophageal 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. METHODS: In 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. RESULTS: In 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. CONCLUSION: In 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.
RESUMEN
Background: Esophageal squamous cell carcinoma (ESCC) is a malignant tumor of the digestive tract with complex pathogenesis. There is a pressing need to search for ESCC targeted therapy sites and explore its pathogenesis. Prothymosin alpha (PTMA) is abnormally expressed in numerous tumors and has a significant regulatory effect on tumor malignant progression. However, the regulatory role and mechanism of PTMA in ESCC have not yet been reported. Methods: We first detected the PTMA expression in ESCC patients, subcutaneous tumor xenograft models of ESCC, and ESCC cells. Subsequently, PTMA expression in ESCC cells was inhibited by cell transfection, and cell proliferation and apoptosis were detected by Cell Counting Kit-8 (CCK-8), 5-ethynyl-2'-deoxyuridine (EdU) staining, flow cytometry, and Western blot. A dichloro-dihydro-fluorescein diacetate (DCFH-DA) assay was used to detect reactive oxygen species (ROS) level in cells, and MitoSOX fluorescent probe, 5,5',6,6'-tetrachloro-1,1',3,3'-tetraethyl-benzimidazolyl carbocyanine iodide (JC-1) staining, mitochondrial complex kit, and Western blot were used to detect the expression of mitochondrial oxidative phosphorylation. Next, the combination between PTMA and high mobility group box 1 (HMGB1) was detected using Co-immunoprecipitation (co-IP) and immunofluorescence (IF) techniques. Finally, the expression of PTMA was inhibited and the expression of HMGB1 was overexpressed in cells via cell transfection, and the regulatory effect of PTMA and HMGB1 binding on mitochondrial oxidative phosphorylation in ESCC was determined through related experiments. Results: The expression of PTMA in ESCC was abnormally elevated. The inhibition of PTMA expression in ESCC cells significantly decreased the activity of ESCC cells and increased their apoptosis. Moreover, interference with PTMA can induce ROS aggregation in ESCC cells by inhibiting mitochondrial oxidative phosphorylation, which may be achieved by binding to HMGB1. Conclusions: PTMA binds to HMGB1 to regulate mitochondrial oxidative phosphorylation, thereby affecting the malignant progression of ESCC.