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Big Data in Biomedicine: 
Discovering new drugs and diagnostics 
from 300 trillion points of data 
Atul Butte, MD, PhD 
Chief, Division of Systems Medicine, 
abutte@stanford.edu 
Departments of Pediatrics, Genetics, 
and, by courtesy, Computer Science, 
Pathology, and Medicine 
Center for Pediatric Bioinformatics, LPCH 
Stanford University 
@atulbutte 
@ImmPortDB
Disclosures 
• Scientific founder and 
advisory board membership 
– Genstruct 
– NuMedii 
– Personalis 
– Carmenta 
• Honoraria for talks 
– Lilly 
– Pfizer 
– Siemens 
– Bristol Myers Squibb 
– AstraZeneca 
– Roche 
– Genentech 
• Past or present consultancy 
– Lilly 
– Johnson and Johnson 
– Roche 
– NuMedii 
– Genstruct 
– Tercica 
– Ecoeos 
– Ansh Labs 
– Prevendia 
– Samsung 
– Assay Depot 
– Regeneron 
– Verinata 
– Geisinger 
– Covance 
• Corporate Relationships 
– Northrop Grumman 
– Aptalis 
– Thomson Reuters 
• Speakers’ bureau 
– None 
• Companies started by students 
– Carmenta 
– Serendipity 
– NuMedii 
– Stimulomics 
– NunaHealth 
– Praedicat 
– MyTime 
– Flipora
Kilo 
Mega 
Giga 
Tera 
Peta 
Exa 
Zetta
Big Data in 
Biomedicine
Perou CM. Nature Genetics 2001, 29:373.
Nearly 1.4 million microarrays available 
Doubles every 2-3 years 
Butte AJ. Translational Bioinformatics: 
coming of age. JAMIA, 2008.
Public big data = retroactive crowd-sourcing
Available Cancer Types # Cases Shipped by BCR # Cases with Data 
Date Last Updated 
(mm/dd/yy) 
Acute Myeloid Leukemia [LAML] 200 200 6/24/2013 
Adrenocortical carcinoma [ACC] 80 0 
Bladder Urothelial Carcinoma [BLCA] 201 184 7/5/2013 
Brain Lower Grade Glioma [LGG] 296 271 7/3/2013 
Breast invasive carcinoma [BRCA] 1007 961 7/5/2013 
Cervical squamous cell carcinoma and endocervical adenocarcinoma [CESC] 163 163 7/5/2013 
Colon adenocarcinoma [COAD] 439 425 6/28/2013 
Esophageal carcinoma [ESCA] 63 63 7/5/2013 
Glioblastoma multiforme [GBM] 514 510 6/28/2013 
Head and Neck squamous cell carcinoma [HNSC] 427 376 7/3/2013 
Kidney Chromophobe [KICH] 66 66 7/5/2013 
Kidney renal clear cell carcinoma [KIRC] 512 512 7/3/2013 
Kidney renal papillary cell carcinoma [KIRP] 158 144 6/28/2013 
Liver hepatocellular carcinoma [LIHC] 152 128 7/3/2013 
Lung adenocarcinoma [LUAD] 500 499 7/3/2013 
Lung squamous cell carcinoma [LUSC] 500 494 7/5/2013 
Lymphoid Neoplasm Diffuse Large B-cell Lymphoma[DLBC] 18 18 7/3/2013 
Mesothelioma [MESO] 0 0 
Ovarian serous cystadenocarcinoma [OV] 572 570 7/5/2013 
Pancreatic adenocarcinoma [PAAD] 71 62 7/3/2013 
Pheochromocytoma and Paraganglioma [PCPG] 0 0 
Prostate adenocarcinoma [PRAD] 248 201 7/5/2013 
Rectum adenocarcinoma [READ] 169 168 6/28/2013 
Sarcoma [SARC] 111 75 7/5/2013 
Skin Cutaneous Melanoma [SKCM] 357 336 7/5/2013 
Stomach adenocarcinoma [STAD] 343 325 7/3/2013 
Testicular Germ Cell Tumors [TGCT] 0 0
127 million substances x 
740,000 assays 
1.2 billion points of data 
within a grid of 
100 trillion cells 
~250 million active 
substances
John Holdren, Director of the Office of Science 
and Technology Policy, “has directed Federal 
agencies with more than $100M in R&D 
expenditures to develop plans to make the 
published results of federally funded research 
freely available to the public within one year of 
publication and requiring researchers to better 
account for and manage the digital data resulting 
from federally funded scientific research.”
16
Protein
Protein 
Cancer markers
Protein 
Cancer markers 
Transplant Rejection markers
Preeclampsia: large cause of maternal and 
fetal death 
• Incidence 
• 5-8% of all pregnancies in the U.S. and worldwide 
• 4.1 million births in the U.S. in 2009 
• Up to 300K cases of preeclampsia annually in the U.S. 
• Mortality 
• Responsible for 18% of all maternal deaths in the U.S. 
• Maternal death in 56 out of every 100,000 live births in US 
• Neonatal death in 71 out of every 100,000 live births in US 
• Cost 
• $20 billion in direct costs in the U.S annually 
• Average hospital stay of 3.5 days 
Linda Liu 
Matt Cooper 
Bruce Ling
Linda Liu 
Bruce Ling 
New markers for preeclampsia 
p value 1.79 X 10-5 3.49 X 10-4 
ng/ml 
p value = 1.92 X 10-8 
GA 23-34 weeks GA > 34 weeks 
Control 
N=16 
Preeclampsia 
N=15 
Control 
N=16 
Preeclampsia 
N=17 
ng/ml 
Gestational age (weeks)
Need a 
diagnostic for 
preeclampsia 
Public big data 
available 
March of 
Dimes Center 
for 
Prematurity 
Research 
Data analyzed, 
diagnostic 
designed 
SPARK grant 
($50k) 
Life Science 
Angels, other 
seed investors 
($2 million)
32
Lamb J, ..., Golub TR. Science, 2006. 
Sirota M, Dudley JT, ..., Sweet-Cordero A, Sage J, Butte AJ. 
Science Translational Medicine, 2011.
Validation methods are increasingly 
commoditized
Anti-seizure drug works against a rat model of 
inflammatory bowel disease 
Dudley JT, Sirota M, ..., Pasricha J, Butte AJ. Science Translational Medicine, 2011. 
Marina Sirota 
Joel Dudley 
Mohan M Shenoy 
Jay Pasricha
Anti-seizure drug works against a rat model of 
inflammatory bowel disease 
Rat colonoscopy Rat with 
Inflammatory 
Bowel Disease 
Inflammatory 
Bowel Disease 
After 
Anti-seizure Drug 
Dudley JT, Sirota M, ..., Pasricha J, Butte AJ. Science Translational Medicine, 2011.
Anti-depressant Imipramine Shows Significant Activity 
Against Small Cell Lung Cancer 
Vehicle control Imipramine 
p53/Rb/p130 
triple knockout 
model of SCLC 
Mice dosed after 
tumor formation 
Joel Dudley 
Nadine Jahchan 
Julien Sage 
Joel Neal 
NuMedii 
Cancer Discovery, 
2013.
Need more 
drugs for more 
diseases 
Public big data 
available 
NIH funding 
Data analyzed, 
method 
designed 
Company 
launched, 
ARRA, Stanford 
license, 
first deal 
Claremont 
Creek, 
Lightspeed 
($3.5 million)
47
immport.niaid.nih.gov 
Jeff Wiser 
Patrick Dunn 
Sanchita Bhattacharya
Entrepreneurship at Stanford 
• Help academics move research innovations from bench to 
bedside for real clinical needs, target pharmaceuticals. 
• Seed funds, educate faculty, postdoc, grad students, so 
developing discoveries becomes second nature. 
• Train students, fellows and faculty in systematic approach to 
needs finding and the invention of new device technologies. 
• Fellowships, classes, mentoring, career services, seed funds. 
• Seed funding and mentorship for development of diagnostics 
and predictives (includes software, apps, imaging) 
• Accelerate development of Stanford’s top entrepreneurs 
through experimental education. Community for founders. 
• 12% of Stanford has applied. 60 companies launched. 
85% funded. Incubator/accelerator. 
• Entrepreneurship center for engineering school. 
• 2000 free videos, podcasts: entrepreneurship, innovation 
thought leaders, innovating to solve major world problems. 
• Ignite program: train current grad students, 250 classroom 
and project hours, 4-9 weeks. 
SPADA
We are used to kids starting computer, 
mobile, and internet companies in 
garages and dorm rooms...
We are used to kids starting computer, 
mobile, and internet companies in 
garages and dorm rooms... 
Maybe kids today need to start 
“garage biotechs”?
Collaborators 
• Jeff Wiser, Patrick Dunn, Mike Atassi / Northrop Grumman 
• Ashley Xia and Quan Chen / NIAID 
• Takashi Kadowaki, Momoko Horikoshi, Kazuo Hara, Hiroshi Ohtsu / U Tokyo 
• Kyoko Toda, Satoru Yamada, Junichiro Irie / Kitasato Univ and Hospital 
• Shiro Maeda / RIKEN 
• Alejandro Sweet-Cordero, Julien Sage / Pediatric Oncology 
• Mark Davis, C. Garrison Fathman / Immunology 
• Russ Altman, Steve Quake / Bioengineering 
• Euan Ashley, Joseph Wu, Tom Quertermous / Cardiology 
• Mike Snyder, Carlos Bustamante, Anne Brunet / Genetics 
• Jay Pasricha / Gastroenterology 
• Rob Tibshirani, Brad Efron / Statistics 
• Hannah Valantine, Kiran Khush/ Cardiology 
• Ken Weinberg / Pediatric Stem Cell Therapeutics 
• Mark Musen, Nigam Shah / National Center for Biomedical Ontology 
• Minnie Sarwal / Nephrology 
• David Miklos / Oncology
Support 
• Lucile Packard Foundation for Children's Health 
• NIH: NIAID, NLM, NIGMS, NCI; NIDDK, NHGRI, NIA, NHLBI, NCATS 
• March of Dimes 
• Hewlett Packard 
• Howard Hughes Medical Institute 
• California Institute for Regenerative Medicine 
• Luke Evnin and Deann Wright (Scleroderma Research Foundation) 
• Clayville Research Fund 
• PhRMA Foundation 
• Stanford Cancer Center, Bio-X, SPARK 
• Tarangini Deshpande 
• Kimayani Butte 
• Hugh O’Brodovich 
• Isaac Kohane 
Admin and Tech Staff 
• Susan Aptekar 
• Jen Cory 
• Boris Oskotsky

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2014 farr institute presentation

  • 1. Big Data in Biomedicine: Discovering new drugs and diagnostics from 300 trillion points of data Atul Butte, MD, PhD Chief, Division of Systems Medicine, abutte@stanford.edu Departments of Pediatrics, Genetics, and, by courtesy, Computer Science, Pathology, and Medicine Center for Pediatric Bioinformatics, LPCH Stanford University @atulbutte @ImmPortDB
  • 2. Disclosures • Scientific founder and advisory board membership – Genstruct – NuMedii – Personalis – Carmenta • Honoraria for talks – Lilly – Pfizer – Siemens – Bristol Myers Squibb – AstraZeneca – Roche – Genentech • Past or present consultancy – Lilly – Johnson and Johnson – Roche – NuMedii – Genstruct – Tercica – Ecoeos – Ansh Labs – Prevendia – Samsung – Assay Depot – Regeneron – Verinata – Geisinger – Covance • Corporate Relationships – Northrop Grumman – Aptalis – Thomson Reuters • Speakers’ bureau – None • Companies started by students – Carmenta – Serendipity – NuMedii – Stimulomics – NunaHealth – Praedicat – MyTime – Flipora
  • 3. Kilo Mega Giga Tera Peta Exa Zetta
  • 4. Big Data in Biomedicine
  • 5.
  • 6. Perou CM. Nature Genetics 2001, 29:373.
  • 7.
  • 8. Nearly 1.4 million microarrays available Doubles every 2-3 years Butte AJ. Translational Bioinformatics: coming of age. JAMIA, 2008.
  • 9.
  • 10. Public big data = retroactive crowd-sourcing
  • 11.
  • 12. Available Cancer Types # Cases Shipped by BCR # Cases with Data Date Last Updated (mm/dd/yy) Acute Myeloid Leukemia [LAML] 200 200 6/24/2013 Adrenocortical carcinoma [ACC] 80 0 Bladder Urothelial Carcinoma [BLCA] 201 184 7/5/2013 Brain Lower Grade Glioma [LGG] 296 271 7/3/2013 Breast invasive carcinoma [BRCA] 1007 961 7/5/2013 Cervical squamous cell carcinoma and endocervical adenocarcinoma [CESC] 163 163 7/5/2013 Colon adenocarcinoma [COAD] 439 425 6/28/2013 Esophageal carcinoma [ESCA] 63 63 7/5/2013 Glioblastoma multiforme [GBM] 514 510 6/28/2013 Head and Neck squamous cell carcinoma [HNSC] 427 376 7/3/2013 Kidney Chromophobe [KICH] 66 66 7/5/2013 Kidney renal clear cell carcinoma [KIRC] 512 512 7/3/2013 Kidney renal papillary cell carcinoma [KIRP] 158 144 6/28/2013 Liver hepatocellular carcinoma [LIHC] 152 128 7/3/2013 Lung adenocarcinoma [LUAD] 500 499 7/3/2013 Lung squamous cell carcinoma [LUSC] 500 494 7/5/2013 Lymphoid Neoplasm Diffuse Large B-cell Lymphoma[DLBC] 18 18 7/3/2013 Mesothelioma [MESO] 0 0 Ovarian serous cystadenocarcinoma [OV] 572 570 7/5/2013 Pancreatic adenocarcinoma [PAAD] 71 62 7/3/2013 Pheochromocytoma and Paraganglioma [PCPG] 0 0 Prostate adenocarcinoma [PRAD] 248 201 7/5/2013 Rectum adenocarcinoma [READ] 169 168 6/28/2013 Sarcoma [SARC] 111 75 7/5/2013 Skin Cutaneous Melanoma [SKCM] 357 336 7/5/2013 Stomach adenocarcinoma [STAD] 343 325 7/3/2013 Testicular Germ Cell Tumors [TGCT] 0 0
  • 13.
  • 14. 127 million substances x 740,000 assays 1.2 billion points of data within a grid of 100 trillion cells ~250 million active substances
  • 15. John Holdren, Director of the Office of Science and Technology Policy, “has directed Federal agencies with more than $100M in R&D expenditures to develop plans to make the published results of federally funded research freely available to the public within one year of publication and requiring researchers to better account for and manage the digital data resulting from federally funded scientific research.”
  • 16. 16
  • 17.
  • 18.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 27. Protein Cancer markers Transplant Rejection markers
  • 28. Preeclampsia: large cause of maternal and fetal death • Incidence • 5-8% of all pregnancies in the U.S. and worldwide • 4.1 million births in the U.S. in 2009 • Up to 300K cases of preeclampsia annually in the U.S. • Mortality • Responsible for 18% of all maternal deaths in the U.S. • Maternal death in 56 out of every 100,000 live births in US • Neonatal death in 71 out of every 100,000 live births in US • Cost • $20 billion in direct costs in the U.S annually • Average hospital stay of 3.5 days Linda Liu Matt Cooper Bruce Ling
  • 29.
  • 30. Linda Liu Bruce Ling New markers for preeclampsia p value 1.79 X 10-5 3.49 X 10-4 ng/ml p value = 1.92 X 10-8 GA 23-34 weeks GA > 34 weeks Control N=16 Preeclampsia N=15 Control N=16 Preeclampsia N=17 ng/ml Gestational age (weeks)
  • 31. Need a diagnostic for preeclampsia Public big data available March of Dimes Center for Prematurity Research Data analyzed, diagnostic designed SPARK grant ($50k) Life Science Angels, other seed investors ($2 million)
  • 32. 32
  • 33.
  • 34.
  • 35.
  • 36. Lamb J, ..., Golub TR. Science, 2006. Sirota M, Dudley JT, ..., Sweet-Cordero A, Sage J, Butte AJ. Science Translational Medicine, 2011.
  • 37.
  • 38.
  • 39.
  • 40. Validation methods are increasingly commoditized
  • 41.
  • 42.
  • 43. Anti-seizure drug works against a rat model of inflammatory bowel disease Dudley JT, Sirota M, ..., Pasricha J, Butte AJ. Science Translational Medicine, 2011. Marina Sirota Joel Dudley Mohan M Shenoy Jay Pasricha
  • 44. Anti-seizure drug works against a rat model of inflammatory bowel disease Rat colonoscopy Rat with Inflammatory Bowel Disease Inflammatory Bowel Disease After Anti-seizure Drug Dudley JT, Sirota M, ..., Pasricha J, Butte AJ. Science Translational Medicine, 2011.
  • 45. Anti-depressant Imipramine Shows Significant Activity Against Small Cell Lung Cancer Vehicle control Imipramine p53/Rb/p130 triple knockout model of SCLC Mice dosed after tumor formation Joel Dudley Nadine Jahchan Julien Sage Joel Neal NuMedii Cancer Discovery, 2013.
  • 46. Need more drugs for more diseases Public big data available NIH funding Data analyzed, method designed Company launched, ARRA, Stanford license, first deal Claremont Creek, Lightspeed ($3.5 million)
  • 47. 47
  • 48.
  • 49.
  • 50.
  • 51.
  • 52.
  • 53.
  • 54. immport.niaid.nih.gov Jeff Wiser Patrick Dunn Sanchita Bhattacharya
  • 55.
  • 56. Entrepreneurship at Stanford • Help academics move research innovations from bench to bedside for real clinical needs, target pharmaceuticals. • Seed funds, educate faculty, postdoc, grad students, so developing discoveries becomes second nature. • Train students, fellows and faculty in systematic approach to needs finding and the invention of new device technologies. • Fellowships, classes, mentoring, career services, seed funds. • Seed funding and mentorship for development of diagnostics and predictives (includes software, apps, imaging) • Accelerate development of Stanford’s top entrepreneurs through experimental education. Community for founders. • 12% of Stanford has applied. 60 companies launched. 85% funded. Incubator/accelerator. • Entrepreneurship center for engineering school. • 2000 free videos, podcasts: entrepreneurship, innovation thought leaders, innovating to solve major world problems. • Ignite program: train current grad students, 250 classroom and project hours, 4-9 weeks. SPADA
  • 57. We are used to kids starting computer, mobile, and internet companies in garages and dorm rooms...
  • 58. We are used to kids starting computer, mobile, and internet companies in garages and dorm rooms... Maybe kids today need to start “garage biotechs”?
  • 59.
  • 60. Collaborators • Jeff Wiser, Patrick Dunn, Mike Atassi / Northrop Grumman • Ashley Xia and Quan Chen / NIAID • Takashi Kadowaki, Momoko Horikoshi, Kazuo Hara, Hiroshi Ohtsu / U Tokyo • Kyoko Toda, Satoru Yamada, Junichiro Irie / Kitasato Univ and Hospital • Shiro Maeda / RIKEN • Alejandro Sweet-Cordero, Julien Sage / Pediatric Oncology • Mark Davis, C. Garrison Fathman / Immunology • Russ Altman, Steve Quake / Bioengineering • Euan Ashley, Joseph Wu, Tom Quertermous / Cardiology • Mike Snyder, Carlos Bustamante, Anne Brunet / Genetics • Jay Pasricha / Gastroenterology • Rob Tibshirani, Brad Efron / Statistics • Hannah Valantine, Kiran Khush/ Cardiology • Ken Weinberg / Pediatric Stem Cell Therapeutics • Mark Musen, Nigam Shah / National Center for Biomedical Ontology • Minnie Sarwal / Nephrology • David Miklos / Oncology
  • 61. Support • Lucile Packard Foundation for Children's Health • NIH: NIAID, NLM, NIGMS, NCI; NIDDK, NHGRI, NIA, NHLBI, NCATS • March of Dimes • Hewlett Packard • Howard Hughes Medical Institute • California Institute for Regenerative Medicine • Luke Evnin and Deann Wright (Scleroderma Research Foundation) • Clayville Research Fund • PhRMA Foundation • Stanford Cancer Center, Bio-X, SPARK • Tarangini Deshpande • Kimayani Butte • Hugh O’Brodovich • Isaac Kohane Admin and Tech Staff • Susan Aptekar • Jen Cory • Boris Oskotsky