Literature DB >> 25825335

The prognostic value of histopathological grading systems in oral squamous cell carcinomas.

I Sawazaki-Calone1,2, Alca Rangel1, A G Bueno3, C F Morais4, H M Nagai5, R P Kunz6, R L Souza1, L Rutkauskis1, T Salo2,7,8, A Almangush7,8, R D Coletta2.   

Abstract

OBJECTIVE: This study evaluated the association of four histopathological grading systems (WHO grading system, malignancy grading of the deep invasive margins (MG), histological risk (HR) model, and tumor budding and depth of invasion (BD) model) with clinicopathological parameters and outcome of 113 oral squamous cell carcinomas to identify their roles in prognosis.
METHODS: Demographic and clinical features were obtained from patients' records. Sections from all paraffin-embedded blocks were evaluated according to the four grading systems. Demographic and clinical associations were analyzed using chi-square test, and correlations between the grading systems were established with the Spearman's rank correlation test. Survival curves were performed with Kaplan-Meier method, and multivariate analysis based on Cox proportional hazard model was calculated.
RESULTS: Significant associations with survival were observed for WHO grading system and BD model in the univariate analysis, but only the BD model was significantly associated with disease outcome as an independent prognostic marker. Age, tumor size, and presence of regional metastasis were also independent markers of reduced survival.
CONCLUSION: A significant association between the BD model and outcome of OSCC patients was observed, indicating this new histopathological grading system as a possible prognostic tool.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  histopathological grading system; oral cancer; oral squamous cell carcinoma; prognosis; survival analysis

Mesh:

Year:  2015        PMID: 25825335     DOI: 10.1111/odi.12343

Source DB:  PubMed          Journal:  Oral Dis        ISSN: 1354-523X            Impact factor:   3.511


  15 in total

1.  Evaluation of the budding and depth of invasion (BD) model in oral tongue cancer biopsies.

Authors:  Alhadi Almangush; Ilmo Leivo; Maria Siponen; Elias Sundquist; Rayan Mroueh; Antti A Mäkitie; Ylermi Soini; Caj Haglund; Pentti Nieminen; Tuula Salo
Journal:  Virchows Arch       Date:  2017-08-02       Impact factor: 4.064

Review 2.  p53 and Cell Fate: Sensitizing Head and Neck Cancer Stem Cells to Chemotherapy.

Authors:  Christie Rodriguez-Ramirez; Jacques E Nör
Journal:  Crit Rev Oncog       Date:  2018

3.  Secretome profiling of oral squamous cell carcinoma-associated fibroblasts reveals organization and disassembly of extracellular matrix and collagen metabolic process signatures.

Authors:  Elizabete Bagordakis; Iris Sawazaki-Calone; Carolina Carneiro Soares Macedo; Carolina M Carnielli; Carine Ervolino de Oliveira; Priscila Campioni Rodrigues; Ana Lucia C A Rangel; Jean Nunes Dos Santos; Juha Risteli; Edgard Graner; Tuula Salo; Adriana Franco Paes Leme; Ricardo D Coletta
Journal:  Tumour Biol       Date:  2016-01-13

4.  Preoperative SCC Antigen, CRP Serum Levels, and Lymph Node Density in Oral Squamous Cell Carcinoma.

Authors:  Mohamad Adel; Chung-Kan Tsao; Fu-Chan Wei; Huei-Tzu Chien; Chih-Hsiung Lai; Chun-Ta Liao; Hung-Ming Wang; Kang-Hsing Fan; Chung-Jan Kang; Joseph Tung-Chieh Chang; Shiang-Fu Huang
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

5.  Stromal fibers in oral squamous cell carcinoma: A possible new prognostic indicator?

Authors:  Priyanka Kardam; Monica Mehendiratta; Shweta Rehani; Madhumani Kumra; Khushboo Sahay; Kanu Jain
Journal:  J Oral Maxillofac Pathol       Date:  2016 Sep-Dec

6.  Fascin promotes migration and invasion and is a prognostic marker for oral squamous cell carcinoma.

Authors:  Priscila Campioni Rodrigues; Iris Sawazaki-Calone; Carine Ervolino de Oliveira; Carolina Carneiro Soares Macedo; Mauricio Rocha Dourado; Nilva K Cervigne; Marcia Costa Miguel; Andreia Ferreira do Carmo; Daniel W Lambert; Edgard Graner; Sabrina Daniela da Silva; Moulay A Alaoui-Jamali; Adriana Franco Paes Leme; Tuula A Salo; Ricardo D Coletta
Journal:  Oncotarget       Date:  2017-08-19

7.  Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a Web-based prognostic tool.

Authors:  Rasheed Omobolaji Alabi; Mohammed Elmusrati; Iris Sawazaki-Calone; Luiz Paulo Kowalski; Caj Haglund; Ricardo D Coletta; Antti A Mäkitie; Tuula Salo; Ilmo Leivo; Alhadi Almangush
Journal:  Virchows Arch       Date:  2019-08-17       Impact factor: 4.064

8.  Tumour budding in oral squamous cell carcinoma: a meta-analysis.

Authors:  Alhadi Almangush; Matti Pirinen; Ilkka Heikkinen; Antti A Mäkitie; Tuula Salo; Ilmo Leivo
Journal:  Br J Cancer       Date:  2017-11-30       Impact factor: 7.640

9.  Associations between 18F-FDG-PET, DWI, and DCE Parameters in Patients with Head and Neck Squamous Cell Carcinoma Depend on Tumor Grading.

Authors:  Leonard Leifels; Sandra Purz; Patrick Stumpp; Stefan Schob; Hans Jonas Meyer; Thomas Kahn; Osama Sabri; Alexey Surov
Journal:  Contrast Media Mol Imaging       Date:  2017-10-19       Impact factor: 3.161

10.  Combining discovery and targeted proteomics reveals a prognostic signature in oral cancer.

Authors:  Carolina Moretto Carnielli; Carolina Carneiro Soares Macedo; Tatiane De Rossi; Daniela Campos Granato; César Rivera; Romênia Ramos Domingues; Bianca Alves Pauletti; Sami Yokoo; Henry Heberle; Ariane Fidelis Busso-Lopes; Nilva Karla Cervigne; Iris Sawazaki-Calone; Gabriela Vaz Meirelles; Fábio Albuquerque Marchi; Guilherme Pimentel Telles; Rosane Minghim; Ana Carolina Prado Ribeiro; Thaís Bianca Brandão; Gilberto de Castro; Wilfredo Alejandro González-Arriagada; Alexandre Gomes; Fabio Penteado; Alan Roger Santos-Silva; Márcio Ajudarte Lopes; Priscila Campioni Rodrigues; Elias Sundquist; Tuula Salo; Sabrina Daniela da Silva; Moulay A Alaoui-Jamali; Edgard Graner; Jay W Fox; Ricardo Della Coletta; Adriana Franco Paes Leme
Journal:  Nat Commun       Date:  2018-09-05       Impact factor: 14.919

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