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The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department School of Systems Biology George Mason University September 14, 2015

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Page 1: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

The Landscape Of Personalized Medicine

Arwa Alhamed & Fahad AlmsnedBINF704: Bioinformatics Colloquium

Bioinformatics and Computational Biology DepartmentSchool of Systems BiologyGeorge Mason University

September 14, 2015

Page 2: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Outline Introduction and important milestones in PM’s journey

PM in present day practice

Relation to other disciplines

Role in drug development

Redefinition of traditional RCT

Role in Disease prognosis

Ethical considerations

Key players in the development of personalized medicine

Future of personalized medicine

Benefits of personalized medicine’s impact on today’s medicine

Personalized medicine limitation

Conclusion

References

Page 3: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

IntroductionPersonalizing medicine?

Shifting from traditional medicine to PM.o Increase in Knowledgeo Variations in response to

therapy

Page 4: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

PM In Present Day Practice

Page 5: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Personalized MedicineMedical model that proposes the

customization of healthcare - with medical decisions, practices, and/or products being tailored to the individual patient. [1]

Page 6: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Important Milestones [2] 1990

Official Launch of the Human Genome Project.

April 16, 19991st publication entitled “New Era of Personalized

Medicine—Targeting Drugs for Each Unique Genetic Profile” by Robert Langreth and Michael

Waldholz. [3]

2000Human Genome Project have completed a rough draft of the human genome. “the most important,

most wondrous map ever produced by humankind.”

Page 7: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Important Milestones [2]

2002International HapMap project officially launches.

2003The Human Genome Project is completed

2005Cancer Genome Atlas project , publication of

HapMap.

2008GINA is signed into law

Page 8: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

PM In Present Day Practice

Page 9: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

PM In Present Day Practice

Page 10: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

PM In Present Day Practice

Page 11: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Relation To Genetic Medicine [4]

The advancement in Genetic Medicine forms the basis of PM. Distinct nature of the genome. Variations in the human genome. PM Vs GM.

Page 12: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Systems Biology and Pharmacology[5]

[6]

Systems biology Developing tools to detect minute changes in

molecular profiles. Physiological environmental factors exposed to gene

expression.

Systems Pharmacology Identity the genes and proteins responsible for drug

treatment.

Page 13: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

PM In Present Day Practice

Page 14: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Biomarkers [7]

Biomarkers • Measure indicators of the actual biology, disease or drug

response.

• Exist as proteins, DNA, mRNA, or radiological parameters.

• Applicable in areas of disease risk estimation, diagnostic screening, diagnosis, prognosis, prediction, and response monitoring.

Page 15: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Biomarkers [7]

BiomarkersUsed in determining dose size for clinical trials.

Pharmacodynamics tests limitation.

Biomarkers maximum doses are determined by the presence of specific biomarkers. (Reduction of Ki67 as a response to MEK inhibitor)

Page 16: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Drug Development [8]

Story of Trastuzumab30% of breast cancer patients unresponsive to SOC.Over expression of HER2 receptors.

Page 17: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Clinical Trail Design [9]

PM Redefining the traditional RCT. No control or placebo arms. Eliminate ethical concerns of using placebo.

Page 18: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Clinical Trail Design [9]

Most oncology drugs are approaching PM trial design Crizotinib (ALK-EML4) inhibitor ALK-EML4 fusion is the driver for lung cancer progression Included 82 lung cancer patients tested positive for the

biomarker ALK with no control group. Favorable results as early as after 48 h with statistically

significant outcome as well.

Page 19: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Prognostic factorPM has facilitated genetic-based assessment.

Abacavir hypersensitivity reactions.

Traditionally, diagnosed after clinical manifestations of symptoms.

A study by Mallal et al.,[10]

proved a genetic linkage between the hypersensitivity and HLA-B*57:01.

Upon investigation, patients who were tested negative for this gene were not hypersensitive to abacavir and vice versa

Steering of both FDA and European Medicines Agency to require of the pharmaceutical industries to include in their label precautions the need to have gene testing prior to abacavir therapy.

Page 20: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Prognostic factor

Page 21: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Ethical considerations [11]

Primarily concern the protection of genetic information and other private information of participating individuals. In the US, the Genetic Information Nondisclosure Act

(GINA) ensures the ethical use of genetic information. The focus is on obtaining approval for the molecular

diagnostic tests and the drugs related to the PM.

FDA encourages but does not make it mandatory to submit pharmacogenetic and pharmacogenomic data during the drug development.

Page 22: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Key Players in the Development of Personalized Medicine

Industrial players: pharmaceutical and biotechnology companies; Hoffman-La Roche.

Academic institutions; Pfizer/Harvard Medical School, Perlegen/George Washington University and Pathway Diagnostics/Duke University.

Scientific players:Clinical laboratories; Genomas ®.

Health Information Technology (HIT); The Cancer Biomedical Informatics Grid.

Medical professions.

Political, and socioeconomic players; Personalized Genome Project.

Page 23: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Future of Personalized Medicine

Page 24: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Future of Personalized MedicineGenomic projects

Translational Science and medicine, and personal genetic testing.

Conventional medicine evolution to personalized medicine

Page 25: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

1. Genomic Projects

Molecular diagnostic of breast cancer, 2005.

Personal Genome Project

Genome-Wide Association Studies (GWAS)

1000 Genome Project

Page 26: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

2. Translational Science and Medicine, and Personal Genetic Testing

Biomarkers, animal models, bioinformatics, and image analysis software.

Long-term genetic testing.

Page 27: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

3. Conventional Medicine Evolution to Personalized Medicine

Increasing genomic knowledge.

Safer and cost-effective medications; Genomics Personalized Medicine Act of 2006.

Page 28: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Benefits of Personalized Medicine’s Impact on Today’s Medicine High precision effective and low-cost treatment;

metastatic colorectal cancer

Improving quality of life for healthy and patient individuals.

Avoiding trail-and-error approach used by physicians in the diagnosis and the treatment of a disease.

Lowering drug development cost and time; Ellen Roche’s

death

Attribution to the discovery of new safer and more effective treatments in the market.

“hope rescue failed drugs”; saving drugs which worked for particular health cases.

Page 29: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Personalized Medicine’s Limitation

Common diseases’ treatment personalization.

Environmental factors’ impact on drug response.

Government and healthcare institution support shortage; data entries in developed countries vs. third

world countries.

Legal, ethical, and social issues; Verisante.

“Incidentalome”.

Page 30: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Conclusion

Stakeholders

Patient

Physicians

Medical Practice

Pharmaceutical and biotechnology companies

Regulatory authorities

Government and healthcare agencies

Page 31: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Personalized medicine stands a promising chance of overtaking conventional medicine in the future, but

couldn’t totally rule it out..

Page 32: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

References1. "Personalized Medicine 101". Personalized Medicine Coalition. Retrieved 26 April 2014.

2. https://hms.harvard.edu/news/harvard-medicine/expanded-timeline-personalized-medicine

3. Langreth R, Waldholz M. New era of personalized medicine: Targeting drugs for each unique genetic profile. The Oncologist 1999;4:426-427

4. Jain KK. Netherlands: Springer Science+Business Media; 2009. Textbook of Personalised Medicine.

5. Chen R, Snyder M. Systems biology: Personalized medicine for the future? Curr Opin Pharmacol. 2012;12:623–8.

6. Wist AD, Berger SI, Iyengar R. Systems pharmacology and genome medicine: A future perspective. Genome Med. 2009;1:11.

7. Kennedy R. Biomarkers and Personalised Medicine. 2013.

8. Feinstein Kean Healthcare. What is Personalized Medicine?; 2013.

9. Vaidyanathan G. Redefining clinical trials: The age of personalized medicine. Cell. 2012;148:1079–80.

10. Mallal S, Phillips E, Carosi G, Molina JM, Workman C, Tomazic J, et al. HLA-B*5701 screening for hypersensitivity to abacavir. N Engl J Med. 2008;358:568–79.

11. Jain KK. Netherlands: Springer Science+Business Media; 2009. Textbook of Personalised Medicine.

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Any Questions?

Page 34: The Landscape Of Personalized Medicine Arwa Alhamed & Fahad Almsned BINF704: Bioinformatics Colloquium Bioinformatics and Computational Biology Department

Thank You For Listening!

Arwa Alhamed and Fahad AlmsnedBioinformatics and Computational Biology

DepartmentSchool of Systems BiologyGeorge Mason University