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Related Concept Videos

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Cancer is the second leading cause of death in the United States. A cancer cell is genetically unstable and hence can mutate faster. They can also modify their microenvironment and escape immune surveillance. The difficulties in treating cancer are further compounded by the emergence of rapid resistance to anticancer drugs. The most common ways to attain resistance in cancer cells include alteration in drug transport and metabolism, modification of drug target, elevated DNA damage response, or...
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Mice have long served as models for studying human biology and pathology because of their phylogenetic and physiological similarity with humans. They are also easy to maintain and breed in the laboratory, and hence, many inbred strains are now available for research. Studies on mice have contributed immeasurably to our understanding of cancer biology.
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Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology
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Author Spotlight: Integrating Computational and Experimental Approaches in Precision Oncology

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Building a precision oncology workforce by multidisciplinary and case-based learning.

Srikar Chamala1, Heather T D Maness2, Lisa Brown3

  • 1Department of Pathology, Immunology and Laboratory Medicine, College of Medicine, University of Florida, Gainesville, FL, USA.

BMC Medical Education
|January 27, 2021
PubMed
Summary
This summary is machine-generated.

A new graduate course trains biomedical and pharmacy students in precision oncology. Student feedback highlighted the value of case-based learning and interdisciplinary teamwork, suggesting more data analysis tool instruction.

Keywords:
Case-based learningGraduate medical educationPrecision oncology

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Area of Science:

  • Biomedical Sciences
  • Pharmacy Education
  • Oncology

Background:

  • National Academy of Medicine workshops identified a need for multidisciplinary professionals in precision oncology.
  • Oncology clinicians require support from professionals trained in precision oncology.

Purpose of the Study:

  • To develop and evaluate a graduate course preparing students for precision oncology teams.
  • To assess student perspectives on interprofessional training in precision oncology.

Main Methods:

  • Developed a graduate course with case-based learning and data analysis for biomedical and pharmacy students.
  • Conducted a focus group with students to gather feedback on the interprofessional training.
  • Utilized thematic content analysis with the constant comparative method for qualitative data.

Main Results:

  • Students appreciated the patient case-based teaching approach and valued interdisciplinary inclusion.
  • Students requested more emphasis on data analysis tools and opportunities for discussion.
  • Positive feedback supports the course's continuation and expansion.

Conclusions:

  • The precision oncology course effectively prepared students for multidisciplinary teams.
  • Expansion should include more hands-on instruction in clinical bioinformatics tools.
  • Interprofessional education is crucial for advancing precision oncology.