alexa Innovative Approaches In Metabolomics For Understanding Drug Resistance In Breast Cancer | 70244
ISSN: 2161-0932

Gynecology & Obstetrics
Open Access

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3rd Annual Conference on Gynecologic Oncology & Preventive Oncology
July 20-21, 2017 Chicago, USA

Umber Saeed
Dow University of Health & Sciences, Pakistan
Posters & Accepted Abstracts: Gynecol Obstet (Sunnyvale)
DOI: 10.4172/2161-0932-C1-016
Abstract
Breast cancer is one of the leading causes of death worldwide. In Pakistan, prevalence of this ailment is highest amongst all types of cancer i.e., 38.5%. Among various treatments available to overcome cancer, chemotherapy is the one used most widely. Most often a combination of two or more medicines will be used as chemotherapy treatment for breast cancer. But in chemotherapy, major clinical setback is drug resistance. Metabolomics is an emerging field that utilizes information of cellular biochemistry for the early detection, diagnosis and establishment of predictive biomarkers of breast cancer. Currently, metabolics is used to evaluate a much comprehensive picture of tumor development and growth. This review highlights potential metabolomics applications towards developing a more personalized and tailored chemotherapy treatment. The methodology is based on inclusion exclusion criteria. Literature survey and questionnaire were included, while clinical trials were excluded. This report provides a review of 12 articles out which few were excluded. The objective was to explore: (1) Early breast cancer detection, (2) Increasing life expectancy of cancer patients, (3) Mechanisms for breast cancer drug resistance, (4) Chemotherapy in breast cancer and its success rate and (5) Side effects of chemotherapy in breast cancer. According to the survey, the average response rate of a cancer drug is the lowest at 21%, suggesting that 79% of patients with cancer are overdosed, while, according to an international study, 40-50% of breast tumors will display acquired resistance. When specific therapies are chosen on the basis of a patient's metabolomics profile, it will give rise to customized medicine and personalized tailored treatment. Using high throughput information using metabolomics to clinical diagnosis and treatment can help accelerate the patient safety, quality of life and survival rate by identifying pathways involved in drug resistance. Metabolomics is future of anti-cancer pharmacology; following the right drug for the right patient at the right time can offer safety, quality and effectiveness of anti-cancer treatment.
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