Interaction between CAFs and apoptotic cancer cells promotes OSCC proliferation via STING signaling.

BACKGROUND: Apoptosis can fuel oncogenesis by the education of surrounding stromal cells. However, the function of cancer-associated fibroblasts (CAFs), which interacted with apoptotic cancer cells, in oral squamous cell carcinoma (OSCC) progression is still unknown. OBJECTIVES: This study aimed to explore the prognostic value of apoptosis and the biological effects of CAFs, interacted with apoptotic cancer cells, on OSCC. METHODS: A total of 166 samples from OSCC patients were stained via TUNEL reaction to evaluate the correlation between apoptosis and clinical characteristics. Cell viability and proliferation were assessed through flow cytometry and CCK-8 assays, respectively. Levels of mRNA and protein were examined through qRT-PCR, western blot and immunofluorescence. RESULTS: Higher percentage of apoptotic cancer cells in OSCC positively correlated with more Ki67+ cells and predicted poor clinical outcomes. Conditioned medium from CAFs exposed to apoptotic cancer cells significantly facilitated cell proliferation. Co-culture CAFs with apoptotic cancer cells dampened the phosphorylation of STING/IRF3 signaling, as well as the production of type I interferon, which was required for the inhibition of OSCC cell proliferation. CONCLUSION: These results demonstrate the interplay between apoptotic cancer cells and CAFs promotes OSCC proliferation via STING signaling, identifying a potential therapy targeted CAFs surrounded with apoptotic cancer cells for OSCC.

ICOSLG-associated immunological landscape and diagnostic value in oral squamous cell carcinoma: a prospective cohort study.

Background: We previously reported that stroma cells regulate constitutive and inductive PD-L1 (B7-H1) expression and immune escape of oral squamous cell carcinoma. ICOSLG (B7-H2), belongs to the B7 protein family, also participates in regulating T cells activation for tissue homeostasis via binding to ICOS and inducing ICOS+ T cell differentiation as well as stimulate B-cell activation, while it appears to be abnormally expressed during carcinogenesis. Clarifying its heterogeneous clinical expression pattern and its immune landscape is a prerequisite for the maximum response rate of ICOSLG-based immunotherapy in a specific population. Methods: This retrospective study included OSCC tissue samples (n = 105) to analyze the spatial distribution of ICOSLG. Preoperative peripheral blood samples (n = 104) and independent tissue samples (n = 10) of OSCC were collected to analyze the changes of immunocytes (T cells, B cells, NK cells and macrophages) according to ICOSLG level in different cellular contents. Results: ICOSLG is ubiquitous in tumor cells (TCs), cancer-associated fibroblasts (CAFs) and tumor infiltrating lymphocytes (TILs). Patients with high ICOSLGTCs or TILs showed high TNM stage and lymph node metastasis, which predicted a decreased overall or metastasis-free survival. This sub-cohort was featured with diminished CD4+ T cells and increased Foxp3+ cells in invasive Frontier in situ, and increased absolute numbers of CD3+CD4+ and CD8+ T cells in peripheral blood. ICOSLG also positively correlated with other immune checkpoint molecules (PD-L1, CSF1R, CTLA4, IDO1, IL10, PD1). Conclusion: Tumor cell-derived ICOSLG could be an efficient marker of OSCC patient stratification for precision immunotherapy.

Perineural invasion, lactate dehydrogenase, globulin, and serum sodium predicting occult metastasis in oral cancer.

OBJECTIVE: This study aimed to develop a nomogram to predict the neck occult metastasis in early (T1-T2 cN0) oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS: The nomogram was developed in a training cohort of 336 early OSCC patients and was validated in a validation cohort including 88 patients. Independent predictors were calculated by univariate and multivariate logistic regression analyses. RESULTS: In univariate logistical regression analysis, gender, perineural invasion (PNI), blood vessel invasion, mean corpuscular hemoglobin, aspartate aminotransferase, prealbumin, globulin (GLO), lactate dehydrogenase (LDH), serum sodium (NA), and serum chloride were significant associated with neck occult metastasis. Multivariate logistical regression analysis identified PNI (p < .001), LDH (p = .003), GLO (p = .019), and NA (p = .020) as independent predictors of neck occult metastasis. Cut-off values for LDH, GLO, and NA obtained from AUC were 142.5, 26.35, and 139.5, respectively. The nomogram based on PNI and categorical GLO, LDH, and NA exhibited a strong discrimination, with a C-indexes of 0.748 (95%CI = 0.688 to 0.810) in the training cohort and 0.751 (95%CI = 0.639 to 0.863) in the validation cohort. CONCLUSIONS: A nomogram based on PNI, LDH, GLO, and NA for predicting the risk of neck lymph nodes occult metastasis in OSCC could help surgeons with therapy decision-making.

Prognostic value of log odds of positive lymph nodes in patients with resectable oral squamous cell carcinoma.

OBJECTIVES: Log odds of positive lymph nodes (LODDS) was reported to be significantly associated with prognosis in several malignant tumors. However, few are the studies on the correlation between LODDS and overall survival (OS) in patients with oral squamous cell carcinoma (OSCC). MATERIALS AND METHODS: A retrospective study including 233 patients with OSCC during 2009 to 2013 was conducted. We probed the correlation between clinicopathological factor, LODDS, lymph node ratio (LNR), pN and OS. The potential prognostic factor and the independent factor were calculated using univariate analysis and multivariate analysis respectively. The goodness of fit and the discriminability was analyzed with Somer's D value, Nagelkerke R2 index, and Akaike information criterion (AIC). Kaplan-Meier survival curve of OS was contrasted by log-rank test in LODDS, LNR and pN, respectively. RESULTS: According to the X-tile, the cut-off values are -1.491 and -0.763 for LODDS, 0.024 and 0.133 for LNR. LODDS, LNR and pN were significantly correlated with OS by univariate analysis (P < 0.001). Multivariate analysis demonstrated LODDS, LNR and pN as an independent prognostic factors for OS (P < 0.01). Compared with pN and LNR models, LODDS showed the strongest predictive power. LODDS was superior to LNR and pN in predicting outcomes in patients with no positive lymph nodes and inadequate neck dissection. CONCLUSION: LODDS would be incorporated into future N classification, which may be conducive to discern the prognosis of OSCC and make a decision of adjuvant therapy in clinical practice.