Cancer Biology Specialization Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview: This specialization provides a comprehensive introduction to cancer biology, integrating molecular mechanisms, genomic analysis, and clinical applications. Over approximately 14 weeks of part-time study, learners will explore the biological hallmarks of cancer, genetic and epigenetic drivers, diagnostic techniques, and modern therapies including immunotherapy. The course combines theoretical knowledge with hands-on bioinformatics exercises, preparing learners for advanced study or careers in oncology research. Each module builds foundational understanding while emphasizing real-world applications in cancer science.

Module 1: Introduction to Cancer Biology

Estimated time: 16 hours

  • Study cancer epidemiology and global burden of disease
  • Analyze multistep carcinogenesis models
  • Explore cancer stem cell theory
  • Examine case studies of common cancers

Module 2: Molecular Basis of Cancer

Estimated time: 16 hours

  • Examine oncogenes and tumor suppressor genes
  • Investigate DNA repair mechanisms
  • Study epigenetic modifications in cancer
  • Practice using the COSMIC mutation database

Module 3: Cancer Diagnosis and Therapy

Estimated time: 8 hours

  • Compare imaging modalities (CT, MRI, PET)
  • Evaluate chemotherapy and radiation mechanisms
  • Analyze emerging immunotherapies
  • Participate in virtual tumor boards

Module 4: Cancer Genomics

Estimated time: 16 hours

  • Process next-generation sequencing data
  • Identify actionable biomarkers
  • Design targeted therapy plans
  • Debate ethical dilemmas in precision oncology

Module 5: Research and Critical Analysis in Oncology

Estimated time: 12 hours

  • Interpret cancer research literature critically
  • Explore tumor microenvironment interactions
  • Examine ethical issues in oncology research

Module 6: Final Project

Estimated time: 10 hours

  • Deliverable 1: Analyze a real cancer genomics dataset using bioinformatics tools
  • Deliverable 2: Evaluate molecular mechanisms underlying a selected cancer type
  • Deliverable 3: Present diagnostic and therapeutic recommendations based on genomic findings

Prerequisites

  • College-level biology background
  • Familiarity with basic genetics and cell biology
  • Basic statistics helpful but not required

What You'll Be Able to Do After

  • Master the 10 biological hallmarks of cancer
  • Understand genetic mutations driving tumor development
  • Analyze cancer genomics data using bioinformatics tools
  • Evaluate modern diagnostic and treatment approaches
  • Interpret cancer research literature critically
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