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Background: The clinical significance of single cell invasion and large nuclear diameter is not well documented in early-stage oral tongue squamous cell carcinoma (OTSCC)., Methods: We used hematoxylin and eosin-stained sections to evaluate the presence of single cell invasion and large nuclei in a multicenter cohort of 311 cases treated for early-stage OTSCC., Results: Single cell invasion was associated in multivariable analysis with poor disease-specific survival (DSS) with a hazard ratio (HR) of 2.089 (95% CI 1.224-3.566, P = 0.007), as well as with disease-free survival (DFS) with a HR of 1.666 (95% CI 1.080-2.571, P = 0.021). Furthermore, large nuclei were associated with worse DSS (HR 2.070, 95% CI 1.216-3.523, P = 0.007) and with DFS in multivariable analysis (HR 1.645, 95% CI 1.067-2.538, P = 0.024)., Conclusion: Single cell invasion and large nuclei can be utilized for classifying early OTSCC into risk groups., (© 2024. The Author(s).)

Background: A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at late stage., Objectives: We primarily aimed to develop a machine learning (ML) model based on ensemble ML paradigm to stratify advanced-stage TSCC patients into the likelihood of overall survival (OS) for evidence-based treatment. We compared the survival outcome of patients who received either surgical treatment only (Sx) or surgery combined with postoperative radiotherapy (Sx + RT) or postoperative chemoradiotherapy (Sx + CRT)., Material and Methods: A total of 428 patients from Surveillance, Epidemiology, and End Results (SEER) database were reviewed. Kaplan-Meier and Cox proportional hazards models examine OS. In addition, a ML model was developed for OS likelihood stratification., Results: Age, marital status, N stage, Sx, and Sx + CRT were considered significant. Patients with Sx + RT showed better OS than Sx + CRT or Sx alone. A similar result was obtained for T3N0 subgroup. For T3N1 subgroup, Sx + CRT appeared more favorable for 5-year OS. In T3N2 and T3N3 subgroups, the numbers of patients were small to make insightful conclusions. The OS predictive ML model showed an accuracy of 86.3% for OS likelihood prediction., Conclusions and Significance: Patients stratified as having high likelihood of OS may be managed with Sx + RT. Further external validation studies are needed to confirm these results.

Background: The clinical significance of tertiary lymphoid structures (TLSs) is not well-documented in early oral tongue squamous cell carcinoma (OTSCC)., Methods: A total of 310 cases of early (cT1-2N0) OTSCC were included in this multicenter study. Assessment of TLSs was conducted on hematoxylin and eosin-stained sections. TLSs were assessed both in the central part of the tumor and at the invasive front area., Results: The presence of TLSs associated with improved survival of early OTSCC as presented by Kaplan-Meier survival analyses for disease-specific survival (P = 0.01) and overall survival (P = 0.006). In multivariable analyses, which included conventional prognostic factors, the absence of TLSs associated with worse disease-specific survival with a hazard ratio (HR) of 1.96 (95% CI 1.09-3.54; P = 0.025) and poor overall survival (HR 1.66, 95% CI 1.11-2.48; P = 0.014)., Conclusion: Histological evaluation of TLSs predicts survival in early OTSCC. TLSs showed superior prognostic power independent of routine WHO grading and TNM staging system., (© 2022. The Author(s).)

Background : Machine learning models have been reported to assist in the proper management of cancer through accurate prognostication. Integrating such models as a web-based prognostic tool or calculator may help to improve cancer care and assist clinicians in making oral cancer management-related decisions. However, none of these models have been recommended in daily practices of oral cancer due to concerns related to machine learning methodologies and clinical implementation challenges. An instance of the concerns inherent to the science of machine learning is explainability. Objectives: This study measures the usability and explainability of a machine learning-based web prognostic tool that was designed for prediction of oral tongue cancer. We used the System Usability Scale (SUS) and System Causability Scale (SCS) to evaluate the explainability of the prognostic tool. In addition, we propose a framework for the evaluation of post hoc explainability of web-based prognostic tools. Methods: A SUS- and SCS-based questionnaire was administered amongst pathologists, radiologists, cancer and machine learning researchers and surgeons ( n = 11) to evaluate the quality of explanations offered by the machine learning-based web prognostic tool to address the concern of explainability and usability of these models for cancer management. The examined web-based tool was developed by our group and is freely available online. Results: In terms of the usability of the web-based tool using the SUS, 81.9% (45.5% strongly agreed; 36.4% agreed) agreed that neither the support of a technical assistant nor a need to learn many things were required to use the web-based tool. Furthermore, 81.8% agreed that the evaluated web-based tool was not cumbersome to use (usability). The average score for the SCS (explainability) was 0.74. A total of 91.0% of the participants strongly agreed that the web-based tool can assist in clinical decision-making. These scores indicated that the examined web-based tool offers a significant level of usability and explanations about the outcome of interest. Conclusions: Integrating the trained and internally and externally validated model as a web-based tool or calculator is poised to offer an effective and easy approach towards the usage and acceptance of these models in the future daily practice. This approach has received significant attention in recent years. Thus, it is important that the usability and explainability of these models are measured to achieve such touted benefits. A usable and well-explained web-based tool further brings the use of these web-based tools closer to everyday clinical practices. Thus, the concept of more personalized and precision oncology can be achieved.

Although there are many histopathologic prognosticators, grading of early oral tongue squamous cell carcinoma (OTSCC) is still based on morphological cell differentiation which has low prognostic value. Here we summarize the emerging histopathological markers showing powerful prognostic value, but are not included in pathology reports. Using PubMed, Scopus, Ovid Medline, and Web of Science databases, a systematic literature search was preformed to identify early OTSCC studies that investigated the prognostic significance of hematoxylin-eosin-based histopathologic markers. Our meta-analysis showed that tumor budding was associated with overall survival (hazard ratio [HR] 2.32; 95% CI 1.40-3.84; p < 0.01) and disease-specific survival (DSS) (1.89; 95% CI 1.13-3.15; p = 0.02). Worst pattern of invasion was associated with disease-free survival (DFS) (1.95; 95% CI 1.04-3.64; p = 0.04). Tumor-stroma ratio was also associated with DFS (1.75, 95% CI 1.24-2.48; p < 0.01) and DSS (1.69; 95% CI 1.19-2.42; p < 0.01). Tumor budding, worst pattern of invasion, and tumor-stroma ratio have a promising prognostic value in early OTSCC. The evaluation and reporting of these markers is cost-effective and can be incorporated in daily practice., (© 2022 The Authors. Head & Neck published by Wiley Periodicals LLC.)

Stromal categorization has been used to classify many epithelial cancer types. We assessed the desmoplastic reaction and compared its significance with other stromal characteristics in early (cT1-2N0) oral tongue squamous cell carcinoma (OTSCC). In this multi-institutional study, we included 308 cases treated for early OTSCC at five Finnish university hospitals or at the A.C. Camargo Cancer Center in São Paulo, Brazil. The desmoplastic reaction was classified as immature, intermediate, or mature based on the amount of hyalinized keloid-like collagen and myxoid stroma. We compared the prognostic value of the desmoplastic reaction with a stromal grading system based on tumor-stroma ratio and stromal tumor-infiltrating lymphocytes. We found that a high amount of stroma with a weak infiltration of lymphocytes was associated statistically significantly with a worse disease-free survival with a hazard ratio (HR) of 2.68 (95% CI 1.26-5.69), worse overall survival (HR 2.95, 95% CI 1.69-5.15), and poor disease-specific survival (HR 2.66, 95% CI 1.11-6.33). Tumors having a high amount of stroma with a weak infiltration of lymphocytes were also significantly associated with a high rate of local recurrence (HR 4.13, 95% CI 1.67-10.24), but no significant association was found with lymph node metastasis (HR 1.27, 95% CI 0.37-4.35). Categorization of the stroma based on desmoplastic reaction (immature, intermediate, mature) showed a low prognostic value for early OTSCC in all survival analyses (P > 0.05). In conclusion, categorization of the stroma based on the amount of stroma and its infiltrating lymphocytes shows clinical relevance in early OTSCC superior to categorization based on the maturity of stroma.

A role for incisional biopsy in preoperative prognostication is increasingly being advocated in oral tongue squamous cell carcinomas (OTSCC). Biopsies at two locations were compared, and prognostic factors in biopsies and their corresponding resections were evaluated. A total of 138 OTSCC biopsy slides from Finland and Saudi Arabia were compared for size (horizontal and vertical) and invasive front. The Finnish cases were assessed for tumor stroma ratio (TSR) and tumor-infiltrating lymphocytes (TILs) using light microscopy and digital image analysis assessment and compared. Furthermore, TSR, TILs, and previously analyzed budding and depth of invasion (BD) score in biopsies were compared with their evaluation in the corresponding resections. Fifty-nine percent of Finnish and 42% of Saudi Arabian biopsies were ≥ 5 mm deep, while 98% of Saudi Arabian and 76% of Finnish biopsies were ≥ 5 mm wide. Assessment of invasion front was possible in 72% of Finnish in comparison with 40% of Saudi Arabian biopsies. There was 86.8% agreement between TSR and 75% agreement between TIL evaluation using light microscopy and digital assessment. Significant agreement was obtained on comparing the TSR (p = 0.04) and BD (p < 0.001) values in biopsies and resections. Biopsies of ≥ 5 mm depth from representative OTSCC areas are essential for prognostic information. Clinical pathologists are advised to assess BD score and TSR for prognostic features in such biopsies., (© 2020 APMIS. Published by John Wiley & Sons Ltd.)

Background: The prediction of overall survival in tongue cancer is important for planning of personalized care and patient counselling., Objectives: This study compares the performance of a nomogram with a machine learning model to predict overall survival in tongue cancer. The nomogram and machine learning model were built using a large data set from the Surveillance, Epidemiology, and End Results (SEER) program database. The comparison is necessary to provide the clinicians with a comprehensive, practical, and most accurate assistive system to predict overall survival of this patient population., Methods: The data set used included the records of 7596 tongue cancer patients. The considered machine learning algorithms were logistic regression, support vector machine, Bayes point machine, boosted decision tree, decision forest, and decision jungle. These algorithms were mainly evaluated in terms of the areas under the receiver-operating characteristic (ROC) curve (AUC) and accuracy values. The performance of the algorithm that produced the best result was compared with a nomogram to predict overall survival in tongue cancer patients., Results: The boosted decision-tree algorithm outperformed other algorithms. When compared with a nomogram using external validation data, the boosted decision tree produced an accuracy of 88.7% while the nomogram showed an accuracy of 60.4%. In addition, it was found that age of patient, T stage, radiotherapy, and the surgical resection were the most prominent features with significant influence on the machine learning model's performance to predict overall survival., Conclusion: The machine learning model provides more personalized and reliable prognostic information of tongue cancer than the nomogram. However, the level of transparency offered by the nomogram in estimating patients' outcomes seems more confident and strengthened the principle of shared decision making between the patient and clinician. Therefore, a combination of a nomogram - machine learning (NomoML) predictive model may help to improve care, provides information to patients, and facilitates the clinicians in making tongue cancer management-related decisions., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Background: Cell-in-cell structures (caused by cell cannibalistic activity) have been related to prognosis of many cancers. This is the first multi-institutional study to assess the prognostic impact of cell-in-cell structures in a large cohort of early oral tongue squamous cell carcinomas (OTSCC)., Methods: A total of 308 cases from five Finnish University Hospitals and from the A.C. Camargo Cancer Center, São Paulo, Brazil, were included in this study. Cell-in-cell structures were evaluated on surgical postoperative sections that stained with hematoxylin and eosin staining., Results: We found that cell-in-cell structures associated with cancer-related mortality in univariable analysis with a hazard ratio (HR) of 2.99 (95%CI 1.52-5.88; P = 0.001). This association was confirmed in multivariable analysis (HR 2.22, 95%CI 1.12-4.44; P = 0.024). In addition, statistically significant associations were observed between the cell-in-cell structures and other adverse histopathologic characteristics including deep invasion (P <  0.001), high index of tumor budding (P = 0.007), worst pattern of invasion (P <  0.001), perineural invasion (P = 0.01), and stroma-rich pattern (P = 0.001)., Conclusions: Our findings demonstrate a significant relationship between cell-in-cell formation and aggressive characteristics of early OTSCC. Cell-in-cell structures have a distinct impact as a novel prognostic indicator in early OTSCC and they can be easily assessed during routine pathology practice.

Little is known about the histopathological characteristics that may differentiate early oral tongue cancer (OTSCC) between young and older patients. From a total of 311 cases diagnosed with clinically early-stage OTSCC at 6 institutions, only 42 patients were young patients were aged ≤45 years. For comparison, 42 patients >60 years old were matched for center of management, clinical stage and gender. We compared epithelial and stromal histopathologic parameters between the two groups. Most of the parameters were similar between the two groups, although the young patients appeared to have marginally higher intensity of tumor budding, histologic risk score, infiltrative pattern of invasion and tumor-stroma ratio. However, none of the factors showed significant difference when comparing the two groups. The histological parameters reflect mechanisms of invasive growth and tissue response to invasive growth, but not the etiological difference in OTSCC between young and older patients. Further investigations are necessary to compare the genetic background of early OTSCC in the two groups., (© 2020 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd. All rights reserved.)

Background: The proper estimate of the risk of recurrences in early-stage oral tongue squamous cell carcinoma (OTSCC) is mandatory for individual treatment-decision making. However, this remains a challenge even for experienced multidisciplinary centers., Objectives: We compared the performance of four machine learning (ML) algorithms for predicting the risk of locoregional recurrences in patients with OTSCC. These algorithms were Support Vector Machine (SVM), Naive Bayes (NB), Boosted Decision Tree (BDT), and Decision Forest (DF)., Materials and Methods: The study cohort comprised 311 cases from the five University Hospitals in Finland and A.C. Camargo Cancer Center, São Paulo, Brazil. For comparison of the algorithms, we used the harmonic mean of precision and recall called F1 score, specificity, and accuracy values. These algorithms and their corresponding permutation feature importance (PFI) with the input parameters were externally tested on 59 new cases. Furthermore, we compared the performance of the algorithm that showed the highest prediction accuracy with the prognostic significance of depth of invasion (DOI)., Results: The results showed that the average specificity of all the algorithms was 71% . The SVM showed an accuracy of 68% and F1 score of 0.63, NB an accuracy of 70% and F1 score of 0.64, BDT an accuracy of 81% and F1 score of 0.78, and DF an accuracy of 78% and F1 score of 0.70. Additionally, these algorithms outperformed the DOI-based approach, which gave an accuracy of 63%. With PFI-analysis, there was no significant difference in the overall accuracies of three of the algorithms; PFI-BDT accuracy increased to 83.1%, PFI-DF increased to 80%, PFI-SVM decreased to 64.4%, while PFI-NB accuracy increased significantly to 81.4%., Conclusions: Our findings show that the best classification accuracy was achieved with the boosted decision tree algorithm. Additionally, these algorithms outperformed the DOI-based approach. Furthermore, with few parameters identified in the PFI analysis, ML technique still showed the ability to predict locoregional recurrence. The application of boosted decision tree machine learning algorithm can stratify OTSCC patients and thus aid in their individual treatment planning., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict recurrences in early-stage OTSCC. A Web-based tool available for public use was also developed. A feedforward neural network was trained for prediction of locoregional recurrences in early OTSCC. The trained network was used to evaluate several prognostic parameters (age, gender, T stage, WHO histologic grade, depth of invasion, tumor budding, worst pattern of invasion, perineural invasion, and lymphocytic host response). Our neural network model identified tumor budding and depth of invasion as the most important prognosticators to predict locoregional recurrence. The accuracy of the neural network was 92.7%, which was higher than that of the logistic regression model (86.5%). Our online tool provided 88.2% accuracy, 71.2% sensitivity, and 98.9% specificity. In conclusion, ANN seems to offer a unique decision-making support predicting recurrences and thus adding value for the management of early OTSCC. To the best of our knowledge, this is the first study that applied ANN for prediction of recurrence in early OTSCC and provided a Web-based tool.

Tumor-infiltrating lymphocytes (TILs) have shown a promising prognostic value in many epithelial cancers. We sought to assess the prognostic value of TILs in a multicenter cohort of early oral tongue squamous cell carcinoma (OTSCC). The percentage of TILs was assessed on the surgical resection slides stained with hematoxylin and eosin. The assessment of TILs was performed in the stromal compartment and in the intraepithelial compartment (at the invasive front and at the center of the tumor). We followed the method that was described recently by the International Immuno-Oncology Biomarker Working Group for the assessment of TILs. A total of 308 cases from the 5 Finnish university hospitals and from A.C. Camargo Cancer Center, São Paulo, Brazil, were included. We found a promising prognostic value for stromal TILs at the invasive front in the multivariable analysis with a hazard ratio of 2.61 (95% confidence interval [CI], 1.77-3.83; P<0.001) for overall survival, 1.99 (95% CI, 1.07-3.69; P=0.040) for disease-specific survival, and 1.94 (95% CI, 1.14-3.29; P=0.020) for disease-free survival. In conclusion, evaluation of TILs is simple and can aid in identifying the high-risk cases of early OTSCC. The method introduced by the International Immuno-Oncology Biomarker Working Group can be used for standardized determination of TILs in early OTSCC.

The World Health Organization (WHO) grading system has a low prognostic value for early-stage oral tongue squamous cell carcinoma; greater prognostic power has been shown with tumor budding analysis. In this study, we combined tumor budding analysis with histopathologic grading according to WHO 2017. In our proposal, a revised grade I tumor is defined as a "well differentiated cohesive tumor"; revised grade II as a "moderately differentiated and/or slightly dissociated tumor"; and revised grade III as a "poorly differentiated and/or dissociated tumor." We evaluated the prognostic value of this proposed grading system in a multicenter cohort of 311 cases of early oral tongue squamous cell carcinoma. The proposed grading system showed significant prognostic value in multivariable analysis for disease-specific survival with a hazard ratio of 3.86 and a 95% confidence interval of 1.36-10.9 (P=0.001). For disease-free survival, the proposed grading system showed good predictive power in multivariable analysis (hazard ratio, 2.07; 95% confidence interval, 1.00-4.27; P=0.009). The conventional WHO grading system showed a low prognostic value for disease-specific survival and disease-free survival (P>0.05). In conclusion, the prognostic power of the WHO histopathologic grading improved significantly with incorporation of tumor budding. Our proposed grading system can be easily included in pathology reports.

One of the main changes in the 8th edition of the American Joint Committee on Cancer (AJCC) for staging of oral cancer is the inclusion of depth of invasion (DOI) in the T category. However, cancers in different oral subsites have variable behavior, with oral tongue squamous cell carcinoma (OTSCC) being the most aggressive one even at early stage. Thus, it is necessary to evaluate the performance of this new T category in homogenous cohort of early OTSCC. Therefore, we analyzed a large cohort of patients with a small (≤ 4 cm) OTSCC to demonstrate the differences in T stage between the AJCC 7th and 8th editions. A total of 311 early-stage cases (AJCC 7th) of OTSCC were analyzed. We used 5 mm and 10 mm DOI for upstaging from T1 to T2 and from T2 to T3 respectively, as in the AJCC 8th. We further reclassified the cases according to our own proposal suggesting 2 mm to upstage to T2 and 4 mm to upstage to T3. According to AJCC 7th, there were no significant differences in the survival analysis. When we applied the 8th edition, many cases were upstaged to T3 and thus associated with worse disease-specific survival (HR 2.37, 95% CI 1.12-4.99) and disease-free survival (HR 2.12, 95% CI 1.09-4.08). Based on our proposal, T3 cases were associated with even worse disease-specific survival (HR 4.19, 95% CI 2.27-7.74). The 8th edition provides better survival prediction for OTSCC than the 7th and can be further optimized by lowering the DOI cutoffs.

Aims: Oral tongue squamous cell carcinoma (OTSCC) has a relatively poor outcome, and there is a need to identify better prognostic factors. Recently, tumour-stroma ratio (TSR) has been associated with prognosis in several cancers. The aim of this multi-institutional study was to evaluate the prognostic value of TSR from original haematoxylin and eosin (HE)-stained tumour-resection slides in a series of early-stage (cT1-2N0) OTSCC patients., Methods and Results: A TSR cutoff value of 50% was used to divide the patients into stroma-rich (≥50%) and stroma-poor (<50%) groups. The relationships between TSR and clinicopathological characteristics of 311 early-stage OTSCC cases were analysed. The prognostic value of TSR in OTSCC was calculated separately and in combination with a previously published cancer cell budding and depth of invasion (BD) prognostic model. A total of 89 cases (28.6%) belonged to the stroma-rich group. In a multivariate analysis, the stroma-rich group had worse disease-free survival, with a hazard ratio (HR) of 1.81 [95% confidence interval (CI) 1.17-2.79, P = 0.008], and higher cancer-related mortality (HR 1.71, 95% CI 1.02-2.86, P = 0.03). The combination of the highest-risk parameter scores of TSR and the BD model showed significant correlations with recurrence rate (HR 3.42, 95% CI 1.71-6.82, P = 0.004) and cancer-related mortality (HR 11.63, 95% CI 3.83-35.31, P < 0.001)., Conclusions: We conclude that TSR is a simple histopathological feature that is useful for prognostication of early-stage OTSCC, and suggest that TSR analyses in association with BD score could be included in routine clinical pathology reports for HE-stained slides., (© 2018 John Wiley & Sons Ltd.)

It is of great clinical importance to identify simple prognostic markers from preoperative biopsies that could guide treatment planning. Here, we compared tumor budding (B), depth of invasion (D), and the combined scores (i.e., budding and depth of invasion (BD) histopathologic model) in preoperative biopsies and the corresponding postoperative specimens of oral tongue squamous cell carcinoma (OTSCC). Tumor budding and depth of invasion were evaluated in the pre- and postoperative samples from 100 patients treated for OTSCC. Sensitivity and specificity statistics were used. Our results showed statistically significant (P < 0.001) relationship between pre- and postoperative BD scores. There was an agreement between the pre- and postoperative BD model scores in 83 cases (83%) with 57.1% sensitivity (95% CI 39.4 to 73.7%) and 96.9% specificity (95% CI 89.3 to 99.6%). Our findings suggest that the BD model, analyzed from representative biopsies, could be used for the treatment planning of OTSCC.

Background: Identifying informative prognostic biomarkers for oral tongue squamous cell carcinoma (OTSCC) is of great importance in order to better predict tumour behaviour and to guide treatment planning. Here, we summarise existing evidence regarding immunohistochemical prognostic biomarkers for OTSCC., Methods: A systematic search of the literature was performed using the databases of Scopus, Ovid Medline, Web of Science and Cochrane Library. All studies which had investigated the prognostic significance of immunohistochemical biomarkers in OTSCC during the period from 1985 to 2015 were retrieved. For the five most often evaluated biomarkers a random-effects meta-analysis on overall survival was performed, including those studies that provided the necessary statistical results., Results: A total of 174 studies conducted during the last three decades were found, and in these 184 biomarkers were evaluated for the prognostication of OTSCC. The five biomarkers most frequently assessed were p53, Ki-67, p16, VEGFs and cyclin D1. In the meta-analyses, the most promising results of the prognostic power for OTSCC were obtained for cyclin D1. For studies of VEGF A and C the results were equivocal, but the pooled analysis of VEGF A separately showed it to be a useful prognosticator for OTSCC. There was no sufficient evidence to support p53, Ki-67 and p16 as prognostic biomarkers for OTSCC. Limitations in the quality of the published studies (e.g., small cohorts, lack of compliance with REMARK guidelines) are widespread., Conclusions: Numerous biomarkers have been presented as useful prognosticators for OTSCC, but the quality of the conduct and reporting of original studies is overall unsatisfactory which does not allow reliable conclusions. The value of two biomarkers (VEGF-A and cyclin D1) should be validated in a multicentre study setting following REMARK guidelines.

Complex molecular pathways regulate cancer invasion. This study overviewed proteins and microRNAs (miRNAs) involved in oral tongue squamous cell carcinoma (OTSCC) invasion. The human highly aggressive OTSCC cell line HSC-3 was examined in a 3D organotypic human leiomyoma model. Non-invasive and invasive cells were laser-captured and protein expression was analyzed using mass spectrometry-based proteomics and miRNA expression by microarray. In functional studies the 3D invasion assay was replicated after silencing candidate miRNAs, miR-498 and miR-940, in invasive OTSCC cell lines (HSC-3 and SCC-15). Cell migration, proliferation and viability were also studied in the silenced cells. In HSC-3 cells, 67 proteins and 53 miRNAs showed significant fold-changes between non-invasive vs. invasive cells. Pathway enrichment analyses allocated "Focal adhesion" and "ECM-receptor interaction" as most important for invasion. Significantly, in HSC-3 cells, miR-498 silencing decreased the invasion area and miR-940 silencing reduced invasion area and depth. Viability, proliferation and migration weren't significantly affected. In SCC-15 cells, down-regulation of miR-498 significantly reduced invasion and migration. This study shows HSC-3 specific miRNA and protein expression in invasion, and suggests that miR-498 and miR-940 affect invasion in vitro, the process being more influenced by mir-940 silencing in aggressive HSC-3 cells than in the less invasive SCC-15., (Copyright © 2016 Elsevier Inc. All rights reserved.)

The proliferation marker, securin, is involved in the progression of many carcinomas. However, its expression in oral tongue squamous cell carcinoma (OTSCC) has not been previously studied. We examined securin expression by immunohistochemistry in OTSCC. A total of 93 cases treated for OTSCC were included in this study. Expression of securin in OTSCC was studied by immunohistochemistry of tissue microarrays (52 cases) and routine tumor sections (41 cases). Securin overexpression is significantly associated with higher tumor grade (P = 0.03). Overexpression of securin was observed more frequently in advanced stages of OTSCC than in earlier stages but the difference was not statistically significant. These findings suggest that overexpression of securin in OTSCC may be important during progression of this cancer. No significant association was found between securin expression and the prognosis of OTSCC.

Despite early diagnosis and treatment, almost 20% of patients with early-stage (cT1-cT2N0) oral tongue squamous cell carcinoma (OTSCC) still die of their disease. The prognosis of OTSCC patients is influenced by several demographic, clinical, and histopathologic factors. The aim of this multicenter international study was to find which of the factors age, gender, stage, grade, lymphocytic host response, perineural invasion, worst pattern of invasion, or depth of invasion has the strongest prognostic power in early-stage OTSCC. Patient data of 479 patients with early-stage (cT1-2N0) OTSCC in Finland, Brazil, and the USA were retrieved and analyzed using Cox proportional hazards regression models. Our results indicate that depth of invasion (DOI) and worst pattern of invasion (WPOI) are the strongest pathological predictors for locoregional recurrence, with a hazard ratio (HR) for 4 mm DOI of 1.67 (95% confidence interval (CI) 1.07-2.60) and HR for WPOI of 1.46 (95% CI 0.95-2.25). In addition, mortality from early OTSCC was also predicted by DOI (HR 2.44, 95% CI 1.34-4.47) and by WPOI (HR 2.34, 95% CI 1.26-4.32). We suggest that clinically early-stage oral tongue carcinomas 4 mm or deeper, or with a growth pattern of small cell islands or satellites, should be considered as high-risk tumors which require multimodality treatment.

The prognostication of patient outcome is one of the greatest challenges in the management of early stage oral tongue squamous cell carcinoma (OTSCC). This study introduces a simple histopathological model for the prognostication of survival in patients with early OTSCC. A total of 311 cases (from Finland and Brazil) with clinically evaluated early stage OTSCC (cT1-T2cN0cM0) were included in this multicentre retrospective study. Tumour budding (B) and depth of invasion (D) were scored on haematoxylin-eosin-stained cancer slides. The cut-off point for tumour budding was set at 5 buds (low <5; high ≥5) and for depth of invasion at 4mm (low <4mm; high ≥4mm). The scores of B and D were combined into one model: the BD predictive model. On multivariate analysis, a high risk score (BD score 2) correlated significantly with loco-regional recurrence (P=0.033) and death due to OTSCC (P<0.001) in early stage OTSCC. The new BD model is a promising prognostic tool to identify those patients with aggressive cases of early stage OTSCC who might benefit from multimodality treatment., (Copyright © 2014 International Association of Oral and Maxillofacial Surgeons. Published by Elsevier Ltd. All rights reserved.)

Background: Oral (mobile) tongue squamous cell carcinoma (SCC) is characterized by a highly variable prognosis in early-stage disease (T1/T2 N0M0). The ability to classify early oral tongue SCCs into low-risk and high-risk categories would represent a major advancement in their management., Methods: Depth of invasion, tumor budding, histologic risk-assessment score (HRS), and cancer-associated fibroblast (CAF) density were studied in 233 cases of T1/T2 N0M0 oral tongue SCC managed in 5 university hospitals in Finland., Results: Tumor budding (≥5 clusters at the invasive front of the tumor) and depth of invasion (≥4 mm) were associated with poor prognosis in patients with early oral tongue SCC (hazard ratio [HR], 2.04; 95% confidence interval [CI], 1.17-3.55; HR, 2.55; 95% CI, 1.25-5.20, respectively) after multivariate analysis. The HRS and CAF density did not predict survival. However, high-risk worst pattern of invasion (WPOI), a component of HRS, was also an independent prognostic factor (HR, 4.47; 95% CI, 1.59-12.51)., Conclusion: Analyzing the depth of invasion, tumor budding, and/or WPOI in prognostication and treatment planning of T1/T2 N0M0 oral tongue SCC is recommended., (© 2013 The Authors. Head & Neck published by Wiley Periodicals, Inc.)

Background: Oral tongue squamous cell carcinoma (OTSCC) often metastasizes to cervical lymph nodes. Mechanisms of this disease progression are not fully known. We aimed at finding new predictive markers for diagnosis and disease monitoring., Methods: Seventy-three consecutive T1N0M0 and T2N0M0 OTSCC patients treated at Helsinki University Central Hospital, Helsinki, Finland, in 1992-2002 were included. Tissue array blocks were prepared from primary tumors and immunostained. Immunoexpression of matrix metalloproteinase (MMP)-2, -8, -9, and -13 was compared with patient characteristics and outcome., Results: Nuclear expression of MMP-13, but not cytoplasmic expression of MMP-2, -8, and -9, was associated with invasion depth (P = 0.017) and tumor size (P = 0.008). Furthermore, high nuclear MMP-13 expression was predictive of poor outcome (P = 0.042)., Conclusion: Our results suggest that especially MMP-13 may be regarded as a prognostic biomarker in OTSCC., (© 2011 John Wiley & Sons A/S.)

We present a series of 23 cases of a distinctive, hitherto poorly recognized low-grade adenocarcinoma, with several histologic features reminiscent of papillary carcinoma of the thyroid, and which mostly but not exclusively occurs in the tongue. All the tumors were unencapsulated and were divided into lobules that were composed mainly of cribriform and solid growth patterns. Therefore, we propose the name "cribriform adenocarcinoma of minor salivary gland origin (CAMSG)." All the patients were adults with a mean age at diagnosis of 55.8 years (range, 25 to 85 y). Fourteen of the 23 tumors were localized in the tongue, 3 in the soft palate, 2 in the retromolar buccal mucosa, 3 in the lingual tonsils, and 1 in the upper lip. Fifteen patients of 23 had synchronous metastases in the cervical lymph nodes at the time of diagnosis, bilateral in 3 cases. In 3 patients, the nodal metastasis was the first evidence of disease, later investigation revealing primary neoplasms in the base of tongue and tonsil, respectively. In addition, 1 patient developed a cervical lymph node metastasis 8 years after excision of a primary tumor of the tongue. Data on treatment and follow-up were available in 14 cases. The patients were treated by radical excision with clear margins (12 cases) or by simple excision (2 cases). Neck dissection was performed in 10 patients; 9 received radiotherapy, but none were treated by chemotherapy. Clinical follow-up ranged from 2 months to 13 years (mean, 6 y and 5 mo). Twelve patients are alive with no evidence of recurrent or metastatic disease after treatment, 1 patient died 2 years after surgery without evidence of tumor, and 1 patient is alive with recurrent tumor of the palate.

Background: The prognosis of squamous cell carcinoma of the oral tongue is poor and it would be beneficial to find prognostic markers to better adjust treatment. Bmi-1 controls cell cycle and self-renewal of tissue stem cells, transcription factor c-myc affects cell proliferation and apoptosis, and Snail regulates epithelial-mesenchymal transition. The expression of these markers has been connected to prognosis in many cancer types., Methods: Bmi-1, c-myc, and Snail expressions were studied in our material consisting of 73 primarily T1N0M0 oral tongue carcinoma patients. We compared the immunoexpressions of Bmi-1, c-myc, and Snail with clinical parameters including the degree of histological differentiation, tumour size, TNM classification, depth of invasion, and resection margins. In addition, survival analyses were performed, comparing disease-free survival time with the registered protein expression of the markers mentioned above., Results: A significant correlation between Bmi-1 protein expression and recurrence (log-rank test, P=0.005) was detected. Snail and c-myc expression did not correlate with prognosis. Snail expression correlated with histopathological grade (Fisher's exact test, P=0.007) and with the invasion depth of tumours (chi(2)-test, P=0.037)., Conclusion: Negative Bmi-1 immunoexpression might serve as a marker of poor prognosis in oral tongue carcinoma patients.

Gene amplifications and deletions are frequent in head and neck squamous cell carcinomas (SCC) but the association of these alterations with gene expression is mostly unknown. Here, we characterized genome-wide copy number and gene expression changes on microarrays for 18 oral tongue SCC (OTSCC) cell lines. We identified a number of altered regions including nine high-level amplifications such as 6q12-q14 (CD109, MYO6), 9p24 (JAK2, CD274, SLC1A1, RLN1), 11p12-p13 (TRAF6, COMMD9, TRIM44, FJX1, CD44, PDHX, APIP), 11q13 (FADD, PPFIA1, CTTN), and 14q24 (ABCD4, HBLD1, LTBP2, ZNF410, COQ6, ACYP1, JDP2) where 9% to 64% of genes showed overexpression. Across the whole genome, 26% of the amplified genes had associated overexpression in OTSCC. Furthermore, our data implicated that OTSCC cell lines harbored similar genomic alterations as laryngeal SCC cell lines We have previously analyzed, suggesting that despite differences in clinicopathological features there are no marked differences in molecular genetic alterations of these two HNSCC sites. To identify genes whose expression was associated with copy number increase in head and neck SCC, a statistical analysis for oral tongue and laryngeal SCC cell line data were performed. We pinpointed 1,192 genes that had a statistically significant association between copy number and gene expression. These results suggest that genomic alterations with associated gene expression changes play an important role in the malignant behavior of head and neck SCC. The identified genes provide a basis for further functional validation and may lead to the identification of novel candidates for targeted therapies. This article contains Supplementary Material available at http://www.interscience.wiley.com/jpages/1045-2257/suppmat.

The clinical course of early squamous cell carcinoma of oral tongue (OTSCC) is unpredictable and various histopathologic parameters of the primary tumour have been suggested as prognostic factors to be used in clinical decision-making. We reviewed clinicopathologic data of 73 patients diagnosed with Stage I-II OTSCC. Predictive value of pathological T-stage, depth of infiltration, grade, and mode of invasion with respect to local recurrences, occult cervical metastases, and disease specific survival (DSS) was analysed. Depth of infiltration and pT-stage significantly predicted occult nodal disease, while only pT-stage predicted local recurrence. Specific cut-off value for depth of infiltration separating high-risk and low-risk patients was not found. Significant correlations between the histopathologic parameters and DSS were not found. We conclude that depth of infiltration predicted occult nodal disease but its value in clinical decision-making is limited because of poor specificity when using a cut-off value that offers reasonable sensitivity for finding the patients with occult nodal disease. The risk for occult metastases and local recurrence was high in patients with pT2 tumours.

Aims: We report a review of our institutional and consultation files in order to select cases of hitherto unrecognized type of adenocarcinoma occurring in the tongue., Materials and Results: Eight cases of a characteristic adenocarcinoma of the tongue resembled solid and follicular variants of the papillary carcinoma of the thyroid. All the tumours were unencapsulated and were divided by fibrous septa into lobules. Major parts of the lesions were composed of areas with solid and microcystic growth patterns. The most striking cytological feature was that the tumour nuclei were pale-staining with a 'ground glass' quality, and they often appeared to overlap. Immunohistochemically, the tumours expressed cytokeratin and S100 protein and, focally, actin; thyroglobulin was negative. Ultrastructurally the cells had clefted nuclei, and the cytoplasm contained a few mitochondria, lysosomes and Golgi apparatus. Many tumour cells had combined features of both myoepithelial and secretory differentiation-well formed microvilli on their apical borders and bundles of microfilaments. At first presentation, all eight patients had metastases in the regional neck lymph nodes, but all are alive 2-6 years after the initial excision and irradiation., Conclusion: We describe a distinctive type of adenocarcinoma of the tongue, for which we propose the name cribriform adenocarcinoma of the tongue (CAT). CAT usually presents with metastases in the neck lymph nodes at the time of presentation. We hypothesize that the tumour might arise from the thyroglossal duct anlage.