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Cancer Genomes 02223 Personalized Medicine: Understanding Your Own Genome Fall 2014

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Page 1: Understanding%Your%Own%Genome% Fall%2014%sssykim/teaching/f14/slides/Lecture... · 2014. 11. 13. · Cancer Genomes 02#223%Personalized%Medicine:% Understanding%Your%Own%Genome% Fall%2014%

Cancer Genomes

02-­‐223  Personalized  Medicine:  

Understanding  Your  Own  Genome  Fall  2014  

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The Economic Burden of Cancer

•  The  economic  cost  of  cancer  exceeds  that  of  any  other  disease  –  Only  accounts  for  disability  and  premature  death,  no  direct  medical  costs  

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Overview

•  What  is  cancer  and  how  does  it  develop?  

•  GeneKcs  of  cancer  

•  Finding  cancer  mutaKons  

•  Personalized  medicine  in  cancer  (next  class)  

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Development of Cancer Cells

•  Types  of  cancers  –  Carcinomas:  cancers  arising  from  epithelial  cells  

–  Sarcomas:  cancers  arising  from  connecKve  Kssue  or  muscle  cells  –  Leukemias  and  lymphomas:  cancers  derived  from  white  blood  cells  

and  their  precursors  

•  Agents  that  trigger  carcinogenesis  –  Chemical  carcinogens  (causes  local  DNA  alteraKons)  

–  RadiaKon  such  as  x-­‐rays  (causes  chromosome  breaks  and  translocaKons),  UV  light  (causes  DNA  base  alteraKons)  

–  Viruses:  HepaKKs-­‐B,  HepaKKs-­‐C  virus  for  liver  cancer  

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Tumors

•  Cancer  cells  – Reproduce  in  defiance  of  the  normal  restraints  on  cell  growth  and  division  

–  Invade  and  colonize  territories  normally  reserved  for  other  cells  

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Defective Control of Cell Death and Differentiation in Cancer Cells

•  Both  increased  cell  division  and  decreased  apoptosis  (cell  death)  can  contribute  to  tumorigenesis  

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Cancer Progression

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Cancer Progression

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Pathways of Tumorigenesis

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Overview

•  What  is  cancer  how  does  it  develop?  

•  GeneKcs  of  cancer  

•  Finding  cancer  mutaKons  

•  Personalized  medicine  in  cancer  (next  class)  

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Germline Mutations

•  Any  detectable  and  heritable  variaKon  in  the  lineage  of  germ  cells    

•  MutaKons  in  these  cells  are  transmi[ed  to  offspring  •  So  far,  we  focused  on  germline  mutaKons  for  complex  

diseases  

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Somatic Mutations

•  MutaKons  in  non  germline  cells  

•  These  mutaKons  are  not  transmi[ed  to  offsprings  

•  Cancer  can  be  caused  by  both  germline  and  somaKc  mutaKons  

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Cancer Progression

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Cancer Progression

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Cancer Progression

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Cancer Progression

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Cancer Mutations

•  MutaKons  in  genome  

•  MutaKons  in  epigenome  

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Epigenome

•  Two-­‐meter  long  DNA  sequences  are  packaged  into  each  cell  

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Epigenetics: Histone Modification

Nucleosome  consists  of  eight  histone  proteins  

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Epigenetics: Histone Modification

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Histone Modification

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Epigenetics

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Epigenetics: Histone Modification

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Methylation

•  MethylaKon  of  cytosine  (C)  nucleoKdes  in  DNA  

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Methylation

•  Associated  with  repressing  gene  expression  –  X-­‐chromosome  silencing  

–  Promoter  regions  of  expressed  genes  in  a  Kssue  are  usually  unmethylated  

–  Different  methylaKon  pa[erns  have  been  observed  in  IdenKcal  twins  –  environmental  effects    

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Cancer-Causing Genes

•  Oncogenes  –  MutaKons  that  confer  gain  of  funcKons  to  oncogenes  can  promote  cancer  

–  MutaKons  with  growth-­‐promoKng  effects  on  the  cell  –  O`en  heterozygous  mutaKon  is  enough  to  make  cells  cancerous.  Why?  

•  Tumor  suppressor  genes  –  MutaKons  that  confer  loss  of  funcKon  can  contribute  to  cancer  –  Typically  homozygous  mutaKon  is  required  to  make  cells  cancerous.  Why?  

•  DNA  maintenance  genes  –  Indirect  effects  on  cancer  development  

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Mutations in Tumor Suppressor Genes

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Mutations in Oncogenes

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Replication of DNA Damages

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Overview

•  What  is  cancer  how  does  it  develop?  

•  GeneKcs  of  cancer  

•  Finding  cancer  mutaKons  

•  Personalized  medicine  in  cancer  (next  class)  

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How to Find Cancer Causing Mutations

•  Germline  cancer  mutaKons?  

•  SomaKc  cancer  mutaKons?  

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How to Find Cancer Causing Mutations

•  Germline  cancer  mutaKons?  –  Genotype  data  are  collected  for  a  large  number  of  normals  and  cancer  

paKents  (case/control  studies)  

•  SomaKc  cancer  mutaKons?  –  Genotype  data  are  collected  for  blood  (normal)  and  cancer  cells  for  

each  cancer  paKent,  for  a  large  number  of  cancer  paKents.  

–  What  is  the  challenge?    

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Driver and Passenger Mutations

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Driver and Passenger Mutations

•  Driver  mutaKons  –  Causally  implicated  in  oncogenesis  –  Gives  growth  advantage  to  cancer  cells  

•  E.g.,  mutaKons  that  de-­‐acKvate  tumor  suppressor  genes    –  posiKvely  selected  in  the  microenvironment  of  the  Kssue  

•  Passenger  mutaKons  –  SomaKc  mutaKons  with  no  funcKonal  consequences  –  Does  not  give  growth  advantage  to  cancer  cells  –  However,  the  passenger  mutaKons  are  propagated  to  daughter  cells  just  

because  they  co-­‐exist  with  the  driver  mutaKon  in  the  same  cell  

•  Key  ScienKfic  QuesKon:  How  can  we  disKnguish  between  driver  and  passenger  mutaKons?    

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Identifying Driver Mutations

•  Compare  the  tumor  genome  with  the  normal  genome  of  the  same  individual  

•  Compare  the  tumor  genome  with  reference  genome    

•  Other  known  DNA  polymorphisms  

•  Signatures  of  driver  mutaKons  –  Frequently  observed  mutaKons  across  tumors.    

–  MutaKons  that  cluster  in  subset  of  genes.  Passenger  mutaKons  are  more  randomly  distributed  across  genomes  

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Challenges

•  Challenges  unique  to  cancer  genome  analysis  –  Sequence  alignment  and  assembly  can  be  significantly  more  challenging  

because  of  highly  rearranged  chromosomes  and  high  variaKon  across  cancer  genomes  

–  SomaKc  mutaKon  calling  is  more  challenging    •  the  impurity  of  the  sample    

–  Normal  genomes  have  allele  copies  of  0,  1,  or  2  –  Cancer  genomes  can  have  allele  copies  of  fracKons  of  0,  1,  or  2  

•  Most  somaKc  mutaKons  are  rare      

•  Different  cancer  types  have  different  rates  of  mutaKons.  Mutator  phenotype  may  or  may  not  present.  

•  Infrequently  occurring    driver  mutaKons  are  hard  to  idenKfy.  

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Methods for Detecting Driver Mutations

•  SIFT  –  A  tool  that  predicts  whether  an  amino  acid  subsKtuKon  affects  protein  

funcKon  

–  Classifies  a  subsKtuKon  into  tolerated  or  deleterious  ones  

•  PolyPhen  –  So`ware  for  predicKng  damaging  effects  of  nonsynonymous  mutaKons  

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PolyPhen Features •  Black:  candidates,  blue:  selected  

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h[p://cancergenome.nih.gov/  

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The Cancer Genome Atlas

•  Other  types  of  data  are  also  collected  along  with  genome  data  –  Tumor  gene  expressions  

–  Tumor  microRNA  expression  –  epigeneKc  data  –  clinical  data  

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Summary

•  The  geneKc  causes  of  cancer  include  both  heritable  germline  mutaKons  and  somaKc  mutaKons  

•  In  cancer  genome  study,  genome  data  are  collected  for  both  normal  and  cancer  cells  for  the  same  individual  

•  The  key  challenge  in  studying  the  geneKc  causes  of  cancer  is  to  idenKfy  driver  mutaKons  from  background  passenger  mutaKons