ABSTRACT
BACKGROUND: ANXA5, a notable tumor marker, displays irregular expression in diverse solid cancers, and links to local recurrence and metastasis rates. We aimed study the expression of ANXA5 in oral squamous cell carcinoma (OSCC) and its diagnostic and prognostic values. METHODS: 520 head and neck squamous cell carcinoma (HNSCC) patients in TCGA database and 124 OSCC patients in Nanjing stomatology hospital were enrolled in our study. Immunohistochemical analyses were performed using ANXA5 antibodies. Chi-square test was used to analyze the clinicopathological features. Survival rates were determined using the Kaplan-Meier method and log-rank test. RESULTS: Our results showed significantly elevated ANXA5 at the gene and protein levels in HNSCC and OSCC compared to non-tumor tissues. Histopathologically, ANXA5 was broadly present in OSCC tumor cells and fibroblast-like cells but absent in tumor-infiltrating lymphocytes, particularly at the invasive tumor front. Patients exhibiting high ANXA5 expression in these cells demonstrated poor differentiation, aggressive invasion patterns, and heightened lymph node metastasis risk, contributing to poorer postoperative outcomes. Remarkably, ANXA5 in fibroblast-like cells emerged as an independent risk factor impacting survival in OSCC patients. Gene set enrichment analysis (GSEA) highlighted ANXA5's involvement in key pathways like epithelial-mesenchymal transformation (EMT), TGF-beta signaling, and hypoxia, which correlated with adverse clinical outcomes in OSCC. CONCLUSION: ANXA5 emerges as a significant prognostic biomarker for OSCC, potentially influencing its metastasis via the EMT pathway.
ABSTRACT
OBJECTIVE: The objective of the study was to assess the prognostic value of muscle invasion (MI), a key histopathological feature of tumor aggressiveness, and construct a superior prognostic prediction model combining the current TNM staging system. MATERIALS AND METHODS: MI was analyzed in the whole-slide images from a total of 301 patients with primary buccal mucosa squamous cell carcinoma (BMSCC). Survival times of patients with/without MI were evaluated by Kaplan-Meier analysis. MI was further combined with the TNM staging system to explore its predictive value for prognosis. Moreover, 204 cases of head and neck carcinoma from the TCGA database were included. RESULTS: MI positive rate reached to 76% (229/301) in patients with BMSCC. MI was associated with poor overall survival (p = 0.012) and disease-free survival (p = 0.022). The novel system (TNM staging combined with MI) revealed strong predictive performance, with the largest area under the curve (OS: p < 0.001, DFS: p < 0.004). MI and the established classification system were also had good predictive ability in the TCGA cohort. CONCLUSIONS: MI is an independent predictor of poor prognosis of BMSCC. The inclusion of MI in prediction system can augment the risk stratification of patients with oral squamous cell carcinoma and may assist in the clinical decision-making process.
ABSTRACT
OBJECTIVE: To evaluate the biological characteristics of oral cancer cells co-cultured with cancer-associated fibroblasts (CAFs)-HSVtk and to assess the reliability of the CAFs-HSVtk suicide system in a co-culture model. METHODS: CAFs were lentivirus-transfected with PCDH-HSVtk. Ganciclovir (GCV) was added and the survival rates of the CAFs-HSVtk were measured. In parallel with the selective elimination of CAFs, comparison was made of the effects of CAF-HSVtk on tumor cell proliferation/migration in a CAFs-tumor co-cultural system. Cell death of co-cultured oral cancer cells was evaluated by flow cytometry. RESULTS: Q-PCR analysis showed that the expression of HSVtk in the CAFs-HSVtk group was significantly higher than in the control group (p < 0.01). The survival rates of CAFs-HSVtk with GCV were significantly reduced (p < 0.01). Following selective depletion of CAFs-HSVtk, the growth and migration rates of oral cancer cells co-cultured with CAFs-HSVtk were reduced in a mixture ratio of 1:2 (p < 0.01, p < 0.01). CONCLUSIONS: Enhanced proliferation and migration rates of oral cancer cells in co-culture were seriously impaired after deleting CAFs using the HSVtk suicide system, while oral tumor cell death was not affected. Therefore, CAFs-HSVtk can be utilized as a valid model for CAF signature identification.
