Clinicopathological and prognostic implications of genetic alterations in oral cancers

Pathare,Swapnali  M.; Gerstung,Moritz; Beerenwinkel,Niko; Schäffer,Alejandro  A.; Kannan,Sadhana; Pai,Prathamesh; Pathak,K.  Alok; Borges,Anita  M.; Mahimkar,Manoj   B.

doi:10.3892/ol.2011.271

Clinicopathological and prognostic implications of genetic alterations in oral cancers

Authors:
- Swapnali M. Pathare
- Moritz Gerstung
- Niko Beerenwinkel
- Alejandro A. Schäffer
- Sadhana Kannan
- Prathamesh Pai
- K. Alok Pathak
- Anita M. Borges
- Manoj B. Mahimkar
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Affiliations: Cancer Research Institute, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre (TMC), Kharghar Node, Navi Mumbai 410210, India, Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland, Computational Biology Branch, National Center for Biotechnology Information, NIH, DHHS, Bethesda, MD, USA, ECTU, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre (TMC), Kharghar Node, Navi Mumbai 410210, India, Tata Memorial Hospital, Tata Memorial Centre (TMC), Mumbai 400012, India, Cancer Care Manitoba, Winnipeg R3A 1R9, Canada, Department of Pathology and Laboratory Medicine, S.L. Raheja Hospital, Mumbai 400016, India
Published online on: March 21, 2011 https://doi.org/10.3892/ol.2011.271
Pages: 445-451

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Abstract

This study evaluated the clinicopathological and prognostic implications of genetic alterations characterizing oral squamous cell carcinoma (OSCC). Comparative genomic hybridization was used to identify chromosomal alterations present in primary OSCCs obtained from 97 patients. In this population, tobacco use was a significant risk factor for OSCC. By contrast, the 97 samples were negative for human papillomavirus (HPV) DNA integration, which is another known risk factor for OSCC in certain populations. Results of the Fisher's exact test, followed by the Benjamini-Hochberg correction for multiple testing, showed a correlation of 7p gain and 8p loss with node-positive OSCC (p≤0.04 for both genetic alterations) and an association of 11q13 gain with high-grade OSCC (p≤0.05). Univariate Cox-proportional hazard models, also corrected for multiple testing, showed a significant association of 11q13 gain and 18q loss with decreased survival (p≤0.05). The findings were supported by multivariate analysis, which revealed that 11q13 gain and 18q loss together serve as a strong bivariate predictor of poor prognosis. In conclusion, our study has identified genetic alterations that correlate significantly with nodal status, grade and the poor survival status of OSCC. These potential biomarkers may aid the current tumor node metastasis system for better prediction of clinical outcome.

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