Understanding and Applying Cancer Biomarkers in Clinical Decision Making This is module two of six core modules for the Biomarker Testing Navigation Certificate program. This online, interactive module provides an introduction to precision medicine and personalized cancer care. .
Course topics include:
Tumor classification vs molecular classification of cancer
Solid tumor vs hematologic malignancies
Testing platforms and technologies
Common examples of biomarkers
Cancer susceptibility genes
Rachel Starks, MD, Ph. D Clinical Assistant Professor, Pathology, University of South Dakota Sanford School of Medicine Sioux Falls, SD
CME/CMLE Credit: 1.0Estimated Completion Time: 1.0 hourFormat: Online educational activity
Credit Designation Statement
The American Society for Clinical Pathology (ASCP) is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education (CME) for physicians.
ASCP designates this activity for a maximum of 1.0 CMLE credit. This activity meets CMP and state re-licensure requirements for laboratory personnel.
For questions regarding CMLE credit, please contact ASCP Customer Service at 1-800-267-2727, during normal business hours: Monday through Friday, 8 a.m. to 6 p.m. Eastern Time
Method of ParticipationTo complete the activity and receive credit, the participant must complete the online activity. CMLE certificates will be provided online. Commercial Support This activity is supported by a sponsorship from AstraZeneca.
Instructions
To claim CME/CMLE credit for the exercise, do the following:
Upon completion of this activity, you will be able to:
Differentiate between diagnostic, prognostic, and predictive cancer biomarkers and their roles in clinical decision making
Compare tumor classification based on histological versus molecular characteristics, including differences between solid tumors and hematologic malignancies.
Evaluate common testing platforms and their applications in cancer biomarker analysis
Describe the clinical significance of cancer susceptibility genes in risk assessment and preventative strategies
Apply knowledge of specific predictive cancer biomarkers to guide treatment decisions for solid tumors and hematologic malignancies