Precision Oncology with Patient-Derived Organoids (PDOs)
From Patient Tumor to Personalized Treatment—Organoids Power Precision Oncology
Skills you will gain:
About Program:
Precision oncology requires tools that can capture the complexity of real patient tumors, including heterogeneity, microenvironment interactions, and therapy resistance. Traditional 2D cell cultures often fail to replicate tumor architecture and clinical behavior. Patient-derived organoids, grown directly from tumor tissue, provide physiologically relevant 3D models that preserve genetic and phenotypic characteristics of the original tumor, enabling more accurate drug testing and personalized treatment decisions.
This workshop explores the complete PDO workflow—from tumor sampling and organoid establishment to drug response profiling and therapy strategy development. Participants will understand organoid-based screening approaches, integration with genomics and clinical data, and emerging applications in immuno-oncology and combination therapy design. The workshop emphasizes translational relevance, clinical adoption challenges, and the future of organoid-guided cancer treatment.
Aim:
This workshop aims to provide participants with a comprehensive understanding of patient-derived organoids (PDOs) as next-generation platforms for precision oncology and personalized therapy design. It focuses on how tumor samples can be transformed into organoid models for drug screening, biomarker discovery, and treatment response prediction. Participants will learn the translational pipeline from patient tissue to therapy strategy. The program bridges cancer biology, advanced 3D models, and precision medicine innovation.
Program Objectives:
- Understand the biology and clinical relevance of patient-derived organoids.
- Learn the workflow from tumor tissue to organoid culture and expansion.
- Explore organoid-based drug screening and therapy response prediction.
- Integrate PDO data with genomics and biomarker strategies.
- Discuss clinical translation, regulatory challenges, and future directions.
What you will learn?
Day 1 Precision Oncology: Concepts, Challenges, and Opportunities
- Genomics to Therapeutics
- Patient-Derived Organoids role in Oncology
- PDO Workflow + Smart Study Design
- PDOs application in precision oncology (real- world)
- Assay design Procedure : dose range, controls, endpoints, timelines
- Features for data to be publishable and reproducible
- Output: PDO study design template + control checklist
Day 2 Hands-on: Build a PDO Drug-Screening Plan
- Introduction to Drug Screening
- Steps in PDO Drug –Screening Plan
- Demo: Select a cancer type + define the screening goal
- Create plate map + dose–response plan + controls
- Decide readouts + pass/fail QC rules
- Output: Complete PDO screening blueprint (ready-to-run)
Day 3 Hands-on: Therapy Matching & Final Report
- Biomarker and Therapy matching Tools
- Hands-on: Therapy Matching
- Use a sample biomarker + response dataset
- Rank therapies using a scoring sheet (efficacy + confidence)
- Write a 1-page “tumor board style” recommendation
- Output: Therapy ranking sheet + 1-page precision report
Mentor Profile
Fee Plan
Get an e-Certificate of Participation!
Intended For :
- Doctoral Scholars & Researchers: PhD candidates seeking to integrate computational workflows into their molecular research.
- Postdoctoral Fellows: Early-career scientists aiming to enhance their data-driven publication profile.
- University Faculty: Professors and HODs interested in modern bioinformatics pedagogy and tool mastery.
- Industry Scientists: R&D professionals from the Biotechnology and Pharmaceutical sectors transitioning to genomic-driven discovery.
- Postgraduate Students: Final-year PG students looking for specialized research-grade exposure beyond standard curricula.
Career Supporting Skills
Program Outcomes
Participants will be able to:
- Explain the role of PDOs in precision oncology workflows.
- Understand organoid establishment, screening, and translational applications.
- Interpret drug response profiles for therapy strategy design.
- Recognize challenges in clinical adoption and scalability.
- Propose future research applications using PDO-based platforms.