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Genomics for Oral Cancer Biomarker Research

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Soft Computing for Biological Systems

Abstract

Oral cancer is one of the most common malignancies worldwide with aggressive behavior. Despite the advancements in preventive measures, diagnosis, and management of oral cancer, the 5-year survival rate has been low. For the last few decades, basic and advanced molecular techniques have been used to understand the molecular process involved in transformation of normal oral epithelium into cancer. Accumulation of genetic changes due to extrinsic or intrinsic factors results in the initiation, progression, and recurrence of oral cancer. However, the recent focus has shifted to understanding the tumor microenvironment and cancer stem cells. The common genetic alterations include mutations, amplifications, silencing, and epigenetic changes. This review elaborates the transcriptional biomarkers which are expressed in the process of carcinogenesis. The use of molecular techniques for detection of these biomarkers can aid in early diagnosis and better prognosis. Brief descriptions of relevant computational techniques are given, and databases are indicated.

Oral cancer (OC) and oral squamous cell carcinoma (OSCC) are used interchangeably.

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Correspondence to Roopa S. Rao .

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© 2018 Springer Nature Singapore Pte Ltd.

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Prasad, K., Rao, R.S., Mane, R.C. (2018). Genomics for Oral Cancer Biomarker Research. In: Purohit, H., Kalia, V., More, R. (eds) Soft Computing for Biological Systems. Springer, Singapore. https://doi.org/10.1007/978-981-10-7455-4_12

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