data driven treatment strategies · 2019/01/11 · elsevier r&d solutions. as experts in...
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Data Driven Treatment
Strategies
Matthew CLARK
Elsevier R&D Solutions
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As experts in scientific
domains, industry-standard
taxonomies, and the manual
curation of content, our team
can quickly assess your
business and propose
solutions to address your most
complicated data challenges.
Deep Life Sciences Domain Experience
We integrate, harmonize,
and analyze data across
the pharma lifecycle
E L S E V I E R D A T A
C U S T O M E R D A T A
T H I R D P A R T Y I N F O R M A T I O N
U N P A R A L L E D D O M A I N
E X P E R T I S E
A C C E S S T O A F O U N D A T I O N O F S E M A N T I C A L L Y R I C H C O N T E N T
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Elsevier – Continuous Reinvention
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Publications
Reference Databases
Expert curated
ClinicalPath
CarePlans
Amirsys
Extracted Data
Pharmapendium
Reaxys
PathwayStudio
ClinicalPath Research Data
Set
16502019
Decision Support
AI/ML
Personalized
medicine
*non-linear scale
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Finding the right treatment - decisions
based on data• Training
• The right diagnosis
• Radiology
• Pathology
• The right treatment
• Standard of care
• Clinical Pathways
• The right drug - personalized
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Elsevier Data Solutions for Research
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Data for driving decisions - Sources• Journal publications – from all publishers
• ~ 33 million biomedical articles
• Data, facts, treatments, are extracted from articles
• Effect of individual genome differences (SNP) extracted
• Patents - 128,000 with biological data and chemistry
• Data from partners
• PHR health records and outcomes
• Curated image libraries
• Curated clinical pathways (expert panels)
• FDA/Regulatory submissions01.11.2019
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Deep Reading to Extract Facts
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4M full-text articles
29M abstracts
53.2M facts supported by
18M sentences
Q356R and S15121 are BRCA1 variants that may be associated with breast cancer
subject verb object
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Clinical Pathway
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• A clinical pathway, also known as care pathway
or care map, is used to manage and standardize
treatment
• Pathways developed with major institutions
like Sloan Kettering or MD Anderson can
help others to elevate the standard of care to
that of those institutions
• Includes diagnostics/tumor expression data
• Allows personalized information to direct
treatment
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Standardized Treatment Decision Trees
• From medical
concensus
• Outcome
analysis
• Panels of
Experts
• Approved by
Payers as
standard of care
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Diagnostics and
sequencing should
become standard
pathway
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Issue: Drug Efficacy Varies by Patient• Pharmacogenomics (PGx), a substantial component of “personalized medicine”, seeks to
understand each individual's genetic composition to optimize drug therapy
01.11.2019 Ge Zhang Daniel W.Nebert
https://doi.org/10.1016/j.pharmthera.2017.02.036
Classes of drugs with
recognized PGx on label –
Efficacy known to be related
to specific genomic traits
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Effect of Metabolism. Tale of Two Patients
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different exposure –
different response
AUC
AUC
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CYP
Binding site
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Natalia Mast et al. J. Biol. Chem.
2014;289:3529-3538
CYP46A1 has a complex binding
site, any mutation can affect
rates of metabolism
One of thousands of CYP
Enzymes that are present in
humans
Levels of each can be personal
and affected by diet, disease and
other factors
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Efavirenz response
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Case Study For Personalized Treatment
based on Tumor Expression• Collaboration with Personalized Hematology/Oncology of Wake Forest
• Dr. Anton Yuryev, Elsevier
• Used biological pathway data extracted from literature
• Analyzed expression levels and matched to precise pathways of tumor
• Prioritized drugs to treat the tumor
• Dr. Francisco Castillos, Treating Physician
• Chose surgical treatments
• Chose drug therapy based on tumor expression
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Patient Case Study
▪ 66 year old Caucasian female diagnosed with moderate to
poorly differentiated hepatocellular carcinoma with
associated necrosis
▪ Resection of hepatocellular carcinoma involving
the ascending colon in the right lateral abdominal wall,
segments 5 and 6 from the liver and 11 benign lymph
nodes
▪ Core biopsies of liver tumor as well as some of the normal
liver parenchymal cells were sent for gene expression
profile analysis.
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Dominant signal transduction pathways through which the
hepatocellular carcinoma proliferate is through the Raf- Ras-MEK-Map
kinase pathway.
Sorafenib is
known to inhibit
this pathway
Pathways created
by Deep Reading
matched with data
from tumor
expression
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Data Driven Treatment• Patient received Sorafenib 400 mg twice a day at least six months
• Resection of residual disease with gene expression profile using mesenteric lymph node material
from small bowel
• Patient started in randomized in the clinical trial (ClinicalTrials.gov Identifier: NCT01075113)
looking at combinations of molecular targeted therapies inducing apoptosis (Vorinostat) in
addition to the dominant pathway, which were blocked by Sorafenib: EGFR-Ras-Raf- MEK-
Map kinase-ERK pathway.
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Treatment Results
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Before treatment
PET/Scan-July, 2013
After resection and Sorafenib 400 mg
twice a day (six months)-PET/ScanAfter NCT01075113 clinical trial Sorafenib plus
Vorinostat
Massey Cancer Center, Virginia, June 2014-
PET/Scan
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Conclusions
• Elsevier is collecting the data, extracting facts, building consensus for
data driven medical care
• Using data allowed medical team to choose the best treatment for this
particular case
• The drugs specifically affected the biological pathways of the specific tumor
• In this case the outcome was positive
• Use of gene expression and diagnostics should be the standad-of-care for
oncology
• Elsevier are committed to helping physicians make the best possible data-driven decisions
for the health of their patients
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Acknowledgements
• Dr Anton Yuryev
• Dr Maria Shkrob
• Dr Frederik van den Broek
• Dr Jabe Wilson
• Dr Eric Gilbert
• Dr Toshikazu Dewa
• Dr Helena Deus
• Timothy Hoctor
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