Tumor depth of invasion and prognosis of early‐stage oral squamous cell carcinoma: A meta‐analysis

Oral Diseases ◽  
2019 ◽  
Vol 26 (7) ◽  
pp. 1357-1365 ◽  
Author(s):  
Patrícia Carlos Caldeira ◽  
Andrea María López Soto ◽  
Maria Cássia Ferreira Aguiar ◽  
Carolina Castro Martins
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Early Stage ◽  
Meta Analysis ◽  
Depth Of Invasion ◽  
Tumor Depth

scholarly journals Perineural Invasion in Oral Squamous Cell Carcinoma in Relation to Tumor Depth

2019 ◽  
Vol 31 (2) ◽  
pp. 1-6
Author(s):  
Farah S Rasheed ◽  
Bashar H Abdullah
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Perineural Invasion ◽  
Staging System ◽  
Depth Of Invasion ◽  
Tumor Depth ◽  
Size Category ◽  
Significant Difference

Background: The American Joint committee on Cancer in their 8th edition staging manual regarded perineural invasion as one of the most important prognostic factors for Lip and Oral Cavity Squamous Cell Carcinoma, it also incorporated tumor depth of invasion in defining tumor size category in the new staging system. This study was conducted to evaluate the frequency of perineural invasion in oral squamous cell carcinoma and the effect of approaching tumor depth in this process. Materials and Methods: fifty-four formalin fixed paraffin embedded tissue blocks of radical resections of Oral Squamous Cell Carcinoma were cut and stained with Hematoxylin and Eosin stain, then evaluated for perineural invasion, with estimation of tumor depth of invasion for each case. Results: Perineural invasion was found in twenty-two cases of the study sample. The diameter of the largest nerve bundle that showed perineural invasion was found to have a positive significant correlation with tumor depth of invasion (p=0.025). Perineural invasion status in terms of (present, absent) showed a significant difference with patients’ age (p=0.037), also showed a significant association with tumor site (p=0.004), however, this association was non-significant in regard to tumor grade and stage (p=0.848, p=0.520) respectively. Conclusion: The attacking potential of preceding tumor depth and those cancers affecting young individuals may be reflected by the presence of neural infiltration by tumor cells. Tongue resected tumors should be carefully inspected for this deceptive biological process.

scholarly journals Research on neck dissection for oral squamous-cell carcinoma: a bibliometric analysis

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Zhou Jiang ◽  
Chenzhou Wu ◽  
Shoushan Hu ◽  
Nailin Liao ◽  
Yingzhao Huang ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Neck Dissection ◽  
Bibliometric Analysis ◽  
Squamous Cell ◽  
Early Stage ◽  
Research Area ◽  
Cancer Center ◽  
Depth Of Invasion

AbstractNeck dissection for oral squamous-cell carcinoma (OSCC) is a clinically controversial issue and has therefore been the subject of abundant research. However, no one has performed a bibliometric study on this topic to date. The aim of this study was to assess the development of research on neck dissection for OSCC in terms of the historical evolution, current hotspots and future directions, particularly including research trends and frontiers from 2010 to 2019. Literature records related to research on neck dissection for OSCC were retrieved from the Web of Science Core Collection (WoSCC). CiteSpace was used as a tool to perform a bibliometric analysis of this topic. The survey included 2 096 papers. “Otorhinolaryngology” was the most popular research area. The most active institutions and countries were Memorial Sloan Kettering Cancer Center and the USA, respectively. Shah J.P. was the most cited author. Among the six identified “core journals”, Head & Neck ranked first. The top three trending keywords were ‘invasion’, ‘upper aerodigestive’ and ‘negative neck’. ‘D’Cruz AK (2015)’ was the most cited and the strongest burst reference in the last decade. The study evaluated the effect on survival of elective versus therapeutic neck dissection in patients with lateralized early-stage OSCC. The depth of invasion and the management of N0 OSCC were research frontiers in this field. The present study provides a comprehensive bibliometric analysis of research on neck dissection for OSCC, which will assist investigators in exploring potential research directions.

scholarly journals Tumor budding and depth of invasion can be used as prognostic risk factors in determining treatment plan for early stage oral squamous cell carcinoma

2019 ◽  
Vol 7 (10) ◽  
pp. 3854
Author(s):  
Kaduganoor Ramakrishnan Mohan ◽  
Rahamathulla Mudassar Sharief ◽  
Rahila C.
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Early Stage ◽  
Treatment Plan ◽  
Tumor Budding ◽  
Grading System ◽  
Depth Of Invasion ◽  
Invasive Front

Background: The grading of oral squamous cell carcinoma can be useful along with TNM staging in determining treatment plan. The aim is to evaluate the prognostic value of histopathological grading of oral squamous cell carcinoma and to find its importance in setting appropriate treatment plan.Methods: The study includes 60 oral squamous cell carcinoma cases surgically operated during January 2012 to December 2018. From the archival paraffin blocks and available resected specimens of each case, the histological parameters used in Bryne’s invasive grading system and Almangush BD model were evaluated and compared to their prognosis.Results: The parameters used in BD model-tumor budding and depth of invasion were found to be statistically significant with prognosis of the disease. Except for nuclear polymorphism, the parameters used in Bryne’s invasive front grading system do not correlate with prognosis.Conclusion: Based on the prognostic significance, tumor budding ≥5 buds in the invasive front area and depth of invasion ≥4mm can be used as risk factors in prospective clinical trials by considering them in early stage disparity cases for multimodality treatment approach and elective neck dissection.

scholarly journals The REASON score: an epigenetic and clinicopathologic score to predict risk of poor survival in patients with early stage oral squamous cell carcinoma

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Chi T. Viet ◽  
Gary Yu ◽  
Kesava Asam ◽  
Carissa M. Thomas ◽  
Angela J. Yoon ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Risk Score ◽  
Squamous Cell ◽  
Early Stage ◽  
Genome Wide Association Studies ◽  
Gene Methylation ◽  
Poor Survival ◽  
Risk Of Death

Abstract Background Oral squamous cell carcinoma (OSCC) is a capricious cancer with poor survival rates, even for early-stage patients. There is a pressing need to develop more precise risk assessment methods to appropriately tailor clinical treatment. Genome-wide association studies have not produced a viable biomarker. However, these studies are limited by using heterogeneous cohorts, not focusing on methylation although OSCC is a heavily epigenetically-regulated cancer, and not combining molecular data with clinicopathologic data for risk prediction. In this study we focused on early-stage (I/II) OSCC and created a risk score called the REASON score, which combines clinicopathologic characteristics with a 12-gene methylation signature, to predict the risk of 5-year mortality. Methods We combined data from an internal cohort (n = 515) and The Cancer Genome Atlas (TCGA) cohort (n = 58). We collected clinicopathologic data from both cohorts to derive the non-molecular portion of the REASON score. We then analyzed the TCGA cohort DNA methylation data to derive the molecular portion of the risk score. Results 5-year disease specific survival was 63% for the internal cohort and 86% for the TCGA cohort. The clinicopathologic features with the highest predictive ability among the two the cohorts were age, race, sex, tobacco use, alcohol use, histologic grade, stage, perineural invasion (PNI), lymphovascular invasion (LVI), and margin status. This panel of 10 non-molecular features predicted 5-year mortality risk with a concordance (c)-index = 0.67. Our molecular panel consisted of a 12-gene methylation signature (i.e., HORMAD2, MYLK, GPR133, SOX8, TRPA1, ABCA2, HGFAC, MCPH1, WDR86, CACNA1H, RNF216, CCNJL), which had the most significant differential methylation between patients who survived vs. died by 5 years. All 12 genes have already been linked to survival in other cancers. Of the genes, only SOX8 was previously associated with OSCC; our study was the first to link the remaining 11 genes to OSCC survival. The combined molecular and non-molecular panel formed the REASON score, which predicted risk of death with a c-index = 0.915. Conclusions The REASON score is a promising biomarker to predict risk of mortality in early-stage OSCC patients. Validation of the REASON score in a larger independent cohort is warranted.

scholarly journals Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine

2022 ◽  
Vol 2 ◽  
Author(s):  
Rasheed Omobolaji Alabi ◽  
Alhadi Almangush ◽  
Mohammed Elmusrati ◽  
Antti A. Mäkitie
Keyword(s):  
Machine Learning ◽  
Squamous Cell Carcinoma ◽  
Deep Learning ◽  
Oral Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Precision Medicine ◽  
Treatment Planning ◽  
Squamous Cell ◽  
Early Stage ◽  
Learning Technology

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form a significant concern. Diagnosis at an early-stage is important for better prognosis, treatment, and survival. Despite the recent improvement in the understanding of the molecular mechanisms, late diagnosis and approach toward precision medicine for OSCC patients remain a challenge. To enhance precision medicine, deep machine learning technique has been touted to enhance early detection, and consequently to reduce cancer-specific mortality and morbidity. This technique has been reported to have made a significant progress in data extraction and analysis of vital information in medical imaging in recent years. Therefore, it has the potential to assist in the early-stage detection of oral squamous cell carcinoma. Furthermore, automated image analysis can assist pathologists and clinicians to make an informed decision regarding cancer patients. This article discusses the technical knowledge and algorithms of deep learning for OSCC. It examines the application of deep learning technology in cancer detection, image classification, segmentation and synthesis, and treatment planning. Finally, we discuss how this technique can assist in precision medicine and the future perspective of deep learning technology in oral squamous cell carcinoma.

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