Cancer Metabolomics

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Oral cavity squamous cell carcinoma (OCC) and oropharyngeal squamous cell carcinoma (OPC) are common forms of oral cancer, with an estimated 51,540 new cases expected to be diagnosed in the US in 2018. Major risk factors for the development of these cancers include tobacco use, heavy alcohol consumption, and infection with a specific type of human papillomavirus, HPV16. Survival rates for OCC and OPC vary widely dependent on stage at diagnosis, with the 5-year relative survival rate as low as 20% for patients whose cancers have spread to distant sites. The ability to correctly diagnose metastasis to the neck lymph nodes in OCC and OPC patients has been challenging, as it relies on imaging techniques that have low sensitivity to detect nodal metastasis. Thus, the identification of more sensitive biomarkers that could detect OCC and OPC at earlier stages or distinguish between nodal and non-nodal cases would be highly beneficial.
Previous metabolomic studies of saliva, serum, or plasma samples collected from OCC or OPC patients have been successful in distinguishing the cases from controls but none assessed whether metabolite profiling could identify between nodal positive and nodal negative patients. “Metabolomics is a powerful approach to simultaneously examine aqueous and lipid metabolites in the sample"

For registration visit–> https://bit.ly/2SNhv7t
For more details regarding the conference–> https://bit.ly/2Pw5Zys
For further queries mail us: metabolomics@pulsusevents.org
For abstract submission: https://bit.ly/2EX88yY
Metabolomics 2019 welcomes attendees, presenters, and exhibitors from all over the world to Las Vegas, USA. We are delighted to invite you all to attend and register for the “International Conference on Advanced Metabolomics and Systems Biology” which is going to be held during April 16-17, 2019 at Las Vegas, USA.
#CancerMetabolomics #Earlybird #Discount #offer #waivers #register #november #speaker #opportunity #LasVegas #UnitedStates #Delegates #YRF #scientists #metabolomics #SystemsBiology #Transcriptomics #genomics

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