Peri-Tumoral Inflammatory Cell Infiltration in OSCC: A Reliable Marker of Local Recurrence and Prognosis? An Investigation Using Artificial Neural Networks

The presence of inflammatory reaction in peri-tumoural connective tissue is generally considered as a defense mechanism against cancer, but inflammation tissue in malignant transformation and early steps of oncogenesis has been recently proven to play a supporting and aggravating role in some carcinomas. Aims of this retrospective study were to evaluate in OSCCs the independent association of peri-tumoral inflammatory infiltrate (PTI) with local recurrence (LR) or survival outcome, and to verify whether PTI can be considered a marker of prognosis. Data from 211 cases of OSCC, only surgically treated between 1990 and 2000, were collected and retrospectively analyzed for PTI and the event LR (5 yrs follow-up at least) by means of univariate-multivariate and neural networks analyses. Patients (mean age 65.3 ± 12.4 yrs, M/F = 2.98) showed presence of PTI in 68.2% (144/211): (+) in 27.0%, (++) in 25.6%, (+++) 15.6%; PTI was found reduced in 24.7% of cases and absent in 7.1%. In overall PTI+ve group (n=144), 66 were TNM Stage I, 33 Stage II, 45 Stage III, none Stage IV. LR (mean 6 ± 4 months) was present in 87/211 (41.2%) patients, of which 43/144 (29.8%) in OSCCs with PTI [23 (+),. 13 (++) and 7 (+++)] vs. 44/67 (65.7%) in OSCC with PTI -/+ or PTI–ve ones. By univariate analysis, PTI+ve cases showed a significant lower risk to have LR (p<0.0001; OR= 0.2297; CI= 0.1277:0.4134) vs PTI -/+ or –ve ones, especially among cases with higher PTI value (+++) (OR= 0.1718; CI= 0.0749:03939). Multivariate analyses (Logit model and neural networks) confirmed the same datum: presence of PTI was an independent predictive variable accounting for a better tumoural outcome without LR (Logit and neural networks values: OR' 0.226; CI= 0.113:0.454; ROC Area = 0.66, respectively). In terms of prognostic significance, elevated PTI was found to have an independent association with the poorest overall survival rate (P = 0.056). Our findings strongly suggest the importance to investigate routinely PTI in OSCCs, as useful marker of tumoral behavior and prognosis, and warrant further studies on its specific cellular nature.

Oral pathology in untreated coeliac [corrected] disease

BACKGROUND

Many coeliac disease patients with atypical symptoms remain undiagnosed.

AIM

To examine the frequency of oral lesions in coeliac disease patients and to assess their usefulness in making coeliac disease diagnosis.

PATIENTS AND METHODS

One hundred and ninety-seven coeliac disease patients and 413 controls were recruited and the oral examination was performed.

RESULTS

Forty-six out of 197 coeliac disease patients (23%) were found to have enamel defects vs. 9% in controls (P < 0.0001). Clinical delayed eruption was observed in 26% of the pediatric coeliac disease patients vs. 7% of the controls (P < 0.0001). The prevalence of oral soft tissues lesions was 42% in the coeliac disease patients and 2% in controls (P < 0.0001). Recurrent aphthous stomatitis disappeared in 89% of the patients after 1 year of gluten-free diet. Multi-logistic analysis selected the following variables as the most meaningful in coeliac disease patients: dental enamel defects (OR = 2.652 CI = 1.427-4.926) and soft tissue lesions (OR = 41.667, CI = 18.868-90.909). Artificial Neural Networks methodology showed that oral soft tissue lesions have sensitivity = 42%, specificity = 98% and test accuracy = 83% in coeliac disease diagnosis.

CONCLUSIONS

The overall prevalence of oral soft tissue lesions was higher in coeliac disease patients (42%) than in controls. However, the positive-predictive value of these lesions for coeliac disease diagnosis was low.

HPV infection in relation to OSCC histological grading and TNM stage. Evaluation by traditional statistics and fuzzy logic model

We aimed to evaluate if in oral squamous cell carcinoma (OSCC) there is a relationship between histological grading (HG), TNM clinical stage and HPV infection; and to study the performance of fuzzy logic compared to traditional statistics, in the analysis of HPV status and correlates of OSCC. In cross-sectional analysis, the study group comprised 63 patients (mean age 68.89 years (SD +/-11.78), range (32-93); males 28 (44.4%), females 35 (55.6%)) with OSCC histologically diagnosed. HPV-DNA was studied in exfoliated oral epithelial cells by nested PCR (MY09/MY11 and GP5+/GP6+ primers). Data were analysed in parallel by traditional statistics with multivariate analysis and a fuzzy logic (FL) technique (membership functions as input, the ANFIS methodology, and the Sugeno's model of first order). HPV infection was detected in 24/63 (38.1%) of OSCC, as being HPV+ve 14/36 (38.9%) in G1, 7/18 (38.9%) in G2, and 3/9 (33.3%) in G3; HPV+ve 8/33 (24.2%) in Stage I, 9/12 (75.0%) in Stage II, 6/11(54.5%) in Stage III, and 1/7 (14.3%) in Stage IV. In both methods of analysis, no significantly increased risk of HPV infection was found for any HG score; whereas, TNM stage II was significantly associated to HPV infection (p=0.004; OR=9.375 (95% CI=2.030:43.30); OR'=11.148 (95% CI=1.951:43.30)), and, in particular, to primary tumour size T2 (p=0.0036; OR=7.812 (95% CI=1.914:31.890); OR'=9.414 (95% CI=1.846:48.013)); FL (% of prevision: 79.8; Root Mean-Square Error (RMSE): 0.29). No association was found between HPV infection and any demographical variable. Our findings show an association between HPV infection with TNM (stage II-T2), but not with histological grading of OSCC. Also, FL seems to be an additional effective tool in analysing the relationship of HPV infection with correlates of OSCC.