Part 1 Mechanistic studies of cancer-derived sialylated IgG in the development of laryngeal squamous cell carcinoma
【Background and Objective】 Laryngeal squamous cell carcinoma (LSCC) is the most prevalent histological subtype among laryngeal malignant tumors. Approximately 60% of patients are diagnosed at an advanced stage, and conventional comprehensive treatment exhibits a high local recurrence rate and unfavorable prognosis. In recent years, cancer-derived Sialylated immunoglobulin G (SIA-IgG) has been identified in various epithelial tumors. Although it lacks antibody activity, it promotes tumorigenesis and progression through diverse mechanisms. Currently, there is a dearth of research on SIA-IgG in LSCC. The aim of this study is to investigate the clinical significance of SIA-IgG as a novel biomarker in the development and prognosis of LSCC.
【Materials and Methods】 We retrospectively analyzed clinical data from 75 patients with supraglottic laryngeal squamous cell carcinoma who underwent primary radical surgery at Cancer Hospital, Chinese Academy of Medical Sciences between 2010 and 2016. Follow-up was conducted for these patients, and postoperative formalin fixed paraffin-embedded (FFPE) tumor tissue specimens were retrieved. Immunohistochemical (IHC) staining was performed to detect the expression level of SIA-IgG in LSCC specimens, followed by scoring the staining results. The relationship between SIA-IgG expression and clinicopathological characteristics as well as prognosis of LSCC patients was analyzed accordingly. In basic experiments, two types of siRNA were employed to knock down SIA-IgG in LCC cells; Western Blotting and immunofluorescence (IF) staining were utilized to validate the knockdown effect. Subsequent phenotypic experiments such as cell clone formation assay, CCK-8 proliferation assay, and Transwell migration assay were conducted to explore the impact of SIA-IgG expression on occurrence, development, and metastasis of LSCC.
【Results】 IHC using the specific monoclonal antibody RP215 revealed universal expression of SIA-IgG in all tumor tissues obtained from patients with LSCC. Among these cases, 44 (58.67%) exhibited low expression while 31 (41.33%) showed high expression levels of SIA-IgG. High expression of SIA-IgG was significantly associated with advanced tumor T stage (p=0.045), N stage (p<0.001), TNM staging (p<0.001), and recurrence during follow-up (p=0.002). Furthermore, Kaplan-Meier analysis demonstrated that patients with low SIA-IgG expression had significantly improved overall survival (OS) and disease-free survival (DFS) compared to those with high SIA-IgG expression (p=0.005). In vitro experiments confirmed the presence of SIA-IgG on the cell membrane of LCC cells and its knockdown resulted in a significant decrease in proliferation, colony formation, and migration abilities when compared to control groups.
【Conclusion】The findings indicate that SIA-IgG is universally expressed in tumor tissues from patients with LSCC and its high expression is closely associated with poor tumor stage and prognosis outcomes. Additionally, the results suggest that SIA-IgG promotes proliferation and migration of LSCC cells, highlighting its potential as a novel biomarker for LSCC.
Part 2 Proteomics and phosphorylation proteomics of head and neck squamous carcinoma
【Background and Objective】 Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide and one of the malignant tumors with poor prognosis. To gain insights into HNSCC, we analyzed the proteome and phosphoproteome between cancerous and paracancerous normal tissue samples using quantitative mass spectrometry.
【Materials and Methods】 Proteins were extracted from five pairs of tumor-normal samples and digested for data-independent acquisition mass spectrometry. Subsequently, phosphopeptides were enriched using TiO2 and prepared for phosphoproteome detection. A bioinformatics analysis was then conducted to identify potential biomarkers for HNSCC.
【Results】 A total of 1239 protein groups and 2025 phosphorylation sites were differentially expressed. Among these, KRT16, MUC21, SH3BGRL2 and METTL7A were selected as biomarkers for HNSCC.
【Conclusion】This study presents a comprehensive and quantitative analysis using mass spectrometry of five pairs of HNSCC samples, including five adjacent non-cancerous tissues, unveiling five potential protein biomarkers for HNSCC.