Evaluation of the oral microbiome as a biomarker for early detection of human oral carcinomas

Julia D. Warnke-Sommer, Hesham H. Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

With the advent of precision medicine, biomarkers have recently come into focus as a promising tool for early cancer detection and treatment individualization. In particular, much interest has been shown in the oral microbiome as a promising potential cancer biomarker, especially for head and neck cancers. The American Cancer Society estimates that there will be nearly 50,000 new cases and roughly 10,000 deaths from oral or oropharyngeal cancer in 2017. The five-year survival rate for cancers of the oral cavity and pharynx is 66% for Caucasian individuals and 47% for African American individuals. However, when caught early while the cancer is at a local stage, the 5-year survival rates rise to 83% and 79%, respectively. The oral carcinoma cancer is typically diagnosed by an oral health care provider by visual screening. However, many of these cancers are discovered when they have already progressed to a later stage. The goal of this research is to evaluate oral microbiome based biomarkers for early oral carcinoma detection. The outcome of this research is a machine-learning based framework for microbiome-based early cancer detection. The ability to identify at risk patients using minimally invasive biomarkers will allow for more rapid treatment plan development and improved outcome. The early diagnosis and treatment of cancer is essential for increasing patient survival odds and mitigating patient suffering.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
EditorsIllhoi Yoo, Jane Huiru Zheng, Yang Gong, Xiaohua Tony Hu, Chi-Ren Shyu, Yana Bromberg, Jean Gao, Dmitry Korkin
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-8
Number of pages8
ISBN (Electronic)9781509030491
DOIs
StatePublished - Dec 15 2017
Event2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017 - Kansas City, United States
Duration: Nov 13 2017Nov 16 2017

Publication series

NameProceedings - 2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
Volume2017-January

Other

Other2017 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2017
CountryUnited States
CityKansas City
Period11/13/1711/16/17

Keywords

  • biomarkers
  • cancer
  • feature extraction
  • machine learning
  • microbiome

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Fingerprint Dive into the research topics of 'Evaluation of the oral microbiome as a biomarker for early detection of human oral carcinomas'. Together they form a unique fingerprint.

Cite this