OCT 16, 2013 1:00 PM PDT

Molecular Diagnostics in Detection, Diagnosis, and Prognosis of Cancer

C.E. Credits: CE
Speaker

Abstract

Cancer cells have historically been classified by microscopic analysis of blood smears and tissue sections. Current technologies use molecular techniques to categorize and classify tumor cells by the identification of chromosomal aberrations, and the increased or decreased expression of genes and gene products. Both genomics (the study of genes) and proteomics (the study of proteins) are therefore essential components of molecular diagnostics, which determines how genes and proteins interact in a cell. The molecular signature or profile of a cancer cell can be determined by the presence or absence of gene activity in cancer and pre-cancerous cells by real time PCR, fluorescence in situ hybridization, microarrays, etc. This profile allows for enhanced detection, earlier and more accurate diagnosis and prognosis, and can aid the physician in determining if cancer cells persist after treatment, all of which, are factors that contribute to the highest quality in patient care. Objectives: 1. Contrast oncogenes with tumor-suppressor genes and list three of each 2. Explain loss of heterozygosity and a common mechanism of its detection 3. Describe FISH and its application in one type of cancer


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OCT 16, 2013 1:00 PM PDT

Molecular Diagnostics in Detection, Diagnosis, and Prognosis of Cancer

C.E. Credits: CE

Specialty

Clinical Genetics

Immunology

Cell Culture

Cancer Research

Molecular Genetics

Clinical Diagnostics

T-Cells

Biotechnology

Gene Expression

Cancer Diagnostics

Flow Cytometry

Covid-19

Big Data

Crispr

Cancer Immunology

Geography

North America50%

Asia25%

Europe25%

Registration Source

Website Visitors100%

Job Title

Student25%

Educator/Faculty25%

Medical Laboratory Technician25%

Genetic Counselor25%

Organization

Academic Institution75%

Hospital25%


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