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111109 1 Update on Predic2ve Biomarkers in Breast Cancer Hal Berman, MD PhD Department of Laboratory Medicine and Pathobiology University of Toronto University Health Network Molecular Markers in Breast Cancer – 2007 ASCO guidelines Evidence of clinical u.lity / recommended for use in rou.ne prac.ce: Molecular Marker Indica2on ER, PR Hormonal therapy HER2 An2HER2 therapy CA153 Monitoring treatment failure in the metasta2c seSng CA27.29 Monitoring treatment failure in the metasta2c seSng CEA Monitoring treatment failure in the metasta2c seSng uPA Determina2on of prognosis in newly diagnosed N0 breast cancer. PAI1 Determina2on of prognosis in newly diagnosed N0 breast cancer. Certain mul2parameter gene expression assays TBD Molecular Markers in Breast Cancer – 2007 ASCO guidelines Insufficient evidence to support rou.ne use in clinical prac.ce P53 Cathepsin D Cyclin E DNA/ploidy by Flow Markers of prolifera2on (Ki67, PCNA, cyclin D, p27, p21, TK, TOP2A) Proteomics Certain mul2paramter assays Detec2on of BM micromets Detec2on of circula2ng tumor cells Impediments to clinical development of predic2ve biomarkers Predic2ve versus prognos2c Requirement for level I evidence The moving target of therapy Biological heterogeneity Preanaly2cal Tumor Marker U2lity Grading System (TMUGS) * TMUGSPlus – Es2ma2on of rela2ve strength of prognos2c factor (risk ra2o) or predic2ve factor (benefit ra2o). Hayes et al JNCI 1996. Obtaining level I evidence from archival 2ssue – The “Prospec2ve Retrospec2ve” approach Availability of adequate and representa2ve archival 2ssue from a previous prospec2ve clinical trial. The test should be analy2cally / preanaly2cally validated for use in archival 2ssue. Plan for biomarker evalua2on predetermined in wri2ng. Results must be validated from similar but separate studies. Simon, Paik, & Hayes. JNCI 2009, 101(21):144652.

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Page 1: Molecular%Markers%in%BreastCancer%–% …distribute.cmetoronto.ca.s3.amazonaws.com/LMP1101/11_1600_Ber… · 111109 1 Update%on%Predic2ve%Biomarkers% in%BreastCancer% Hal%Berman,%MD%PhD%

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Update  on  Predic2ve  Biomarkers  in  Breast  Cancer  

Hal  Berman,  MD  PhD  Department  of  Laboratory  Medicine  

and  Pathobiology  University  of  Toronto  

University  Health  Network  

Molecular  Markers  in  Breast  Cancer  –    2007  ASCO  guidelines  

Evidence  of  clinical  u.lity  /  recommended  for  use  in    rou.ne  prac.ce:  

Molecular  Marker   Indica2on  ER,  PR   Hormonal  therapy  HER2   An2-­‐HER2  therapy  CA15-­‐3   Monitoring  treatment  failure  in  the  

metasta2c  seSng  CA27.29   Monitoring  treatment  failure  in  the  

metasta2c  seSng  CEA   Monitoring  treatment  failure  in  the  

metasta2c  seSng  uPA   Determina2on  of  prognosis  in  newly  

diagnosed  N0  breast  cancer.  PAI-­‐1    

Determina2on  of  prognosis  in  newly  diagnosed  N0  breast  cancer.  

Certain  mul2parameter  gene  expression  assays  

TBD  

Molecular  Markers  in  Breast  Cancer  –  2007  ASCO  guidelines  

Insufficient  evidence  to  support  rou.ne  use  in  clinical  prac.ce  

P53  Cathepsin  D  Cyclin  E  

DNA/ploidy  by  Flow  Markers  of  prolifera2on    

(Ki67,  PCNA,  cyclin  D,  p27,  p21,  TK,  TOP2A)    Proteomics  

Certain  mul2paramter  assays  Detec2on  of  BM  micromets  

Detec2on  of  circula2ng  tumor  cells  

Impediments  to  clinical  development  of  predic2ve  biomarkers  

•  Predic2ve  versus  prognos2c  

•  Requirement  for  level  I  evidence  

•  The  moving  target  of  therapy  

•  Biological  heterogeneity  

•  Pre-­‐analy2cal  

Tumor  Marker  U2lity  Grading  System  (TMUGS)  

*  TMUGS-­‐Plus  –  Es2ma2on  of  rela2ve  strength  of  prognos2c  factor  (risk  ra2o)  or  predic2ve  factor  (benefit  ra2o).  

Hayes  et  al  JNCI  1996.  

Obtaining  level  I  evidence  from  archival  2ssue  –  The  “Prospec2ve  

Retrospec2ve”  approach  •  Availability  of  adequate  and  representa2ve  archival  

2ssue  from  a  previous  prospec2ve  clinical  trial.  •  The  test  should  be  analy2cally  /  pre-­‐analy2cally  

validated  for  use  in  archival  2ssue.  •  Plan  for  biomarker  evalua2on  predetermined  in  

wri2ng.  •  Results  must  be  validated  from  similar  but  separate  

studies.  

Simon,  Paik,  &  Hayes.    JNCI  2009,  101(21):1446-­‐52.  

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Predic2ve/Prognos2c  Breast  Cancer  Mul2-­‐marker  Molecular  Tests  

•  Oncotype  DX  (RT-­‐PCR,  21  genes)  •  Mammaprint  (Microarray,  70  genes)    •  MapQuant  Dx  (Microarray,  97  genes)  •  Mammostrat  (IHC,  5  markers)  •  Endopredict  (RT-­‐PCR,  11  genes)  •  PAM50  (Microarray,  50  genes)  •  Roherdam  Signature  (Microarray,  76  genes)  •  Two  gene  ra2o  (RT-­‐PCR,  HOXB13:IL17BR)  •  Molecular  Grade  Index  (RT-­‐PCR,  5  genes)    

– TBCI  (MGI  +  2-­‐gene  ra2o)  •  Blueprint  (Microarray,  80  genes)  

Oncotype  DX  

•  Prognos2c  and  predictve  test  based  upon  RT-­‐PCR  assay  of  21-­‐genes  in  FFPE  2ssue.  

•  Aliases:  recurrence  score  (RS),  21-­‐gene  recurrence  score  (RS-­‐21),  Genomic  Health  recurrence  score  (GH-­‐RS  or  GHI-­‐RS).    

•  Model  building:  250  candidate  genes  prospec2vely  selected,  evaluated  in  3  randomized  studies  (B-­‐20,  Rush  U,  St.  Joseph’s)  to  derive  21-­‐gene  panel.  

Oncotype  DX  21-­‐Gene    Recurrence  Score  (RS)  Assay  

RS = + 0.47 x HER2 Group Score - 0.34 x ER Group Score + 1.04 x Proliferation Group Score + 0.10 x Invasion Group Score + 0.05 x CD68 - 0.08 x GSTM1 - 0.07 x BAG1

16 Cancer and 5 Reference Genes From 3 Studies

Category RS (0 -100) Low risk RS <18 Int risk RS 18 - 30

High risk RS ≥ 31

Paik  et  al.  N  Engl  J  Med.  2004;351:2817-­‐2826.  

PROLIFERATION  Ki-­‐67  STK15  Survivin  Cyclin  B1  MYBL2  

ESTROGEN  ER  PR  Bcl2  

SCUBE2  

INVASION  Stromelysin  3  Cathepsin  L2  

HER2  GRB7  HER2  

“Unaligned”  CD68  GSTM1  BAG1  

REFERENCE  Beta-­‐ac2n  GAPDH  RPLPO  GUS  TFRC  

Oncotype  DX  –  Valida2on  Studies  •  NSABP  B14  (Hormonal  benefit  study  –  NEJM  2004;351:2817-­‐26).  – 668  ER+  N0  pa2ents  treated  with  tamoxifen.      – RS  es2mates  risk  of  distant  recurrence  (con2nuous)  and  overall  survival.  

•  NSABP  B-­‐20  (Chemotherapy  benefit  study)  –  JCO  2006;24(23):3726-­‐33.  – 651  ER+  N0  pa2ents  with  tamoxifen  +/-­‐  CMF/MF  chemotherapy.  

– RS  es2mates  risk  of  distant  recurrence.  – RS  predicts  benefit  of  CMF/MF  chemotherapy  for  reducing  distant  recurrence.  

Oncotype  DX  –  Valida2on  Studies  

•  Kaiser  Permanente  (BCR  2006;8(3):1-­‐15).  – Case-­‐control  study  –  790  of  4,964  studied,  node  nega2ve,  no  chemo.  

– RS  prognos2c  of  breast  cancer  death  in  ER-­‐posi2ve  tamoxifen  treated  and  untreated    pa2ents.  

•  MD  Anderson  (Clin  Can  Res.  2005,  11(9):3315-­‐9)    – 149  pa2ents,  node  nega2ve,  ER  pos  (70%)  and  ER  neg  (30%),  untreated.  

– RS  not  prognos2c  of  distant  recurrence  in  untreated  pa2ents)  

Oncotype  DX  –  Valida2on  Studies  – ECOG  2197  (ER,PR  central  lab  study  –  JCO  2008,  26(15):2473-­‐81).  

•  Case-­‐control  776  pa2ents  (ER  pos  or  neg,  0-­‐3  nodes  pos)  all  treated.        

•  ER  and  PR:    local  IHC,  central  TMA  1D5  ER  and  636  PR,  Oncotype  ER  and  PR.  

•  High  concordance.    RT-­‐PCR  was  more  sensi2ve.    RS  was  prognos2c  for  risk  of  recurrence.  

– SWOG  8814  (Node  posi2ve  study  –  Lancet  Oncol  2010,  11:55-­‐65)  

•  367  ER+  pa2ents  treated  with  tamoxifen  only  versus  tamoxifen  plus  CAF  (cyclophosphamide,  doxorubicin,  fluorouracil).        

•  RS  prognos2c  in  tamoxifen  only  group  and  predic2ve  of  CAF  benefit.  

 

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Oncotype  DX  –  Prospec2ve  Studies  

– SWOG  S1007  /  RxPONDER  (Node  posi2ve  study,  RS  <=25)  

•  Prospec2ve  study  screening  >  9000  pa2ents  to  enroll  ~4,000  women  -­‐  hormone  receptor  posi2ve,  HER2  nega2ve,  1-­‐3  posi2ve  lymph  nodes  with  RS  <=25.  

•  Goal:    Determine  if  there  is  benefit  to  adding  chemotherapy  to  hormonal  therapy  in  this  cohort.  

– TAILORx  •  To  be  discussed.  

Oncotype  DX  –  Approved  Uses  In  newly  diagnosed,  ER+  N0  pa2ents:  •   Es2mate  risk  of  recurrence  in  pa2ents  treated  with  tamoxifen.  •   Iden2fy  pa2ents  who  are  likely  to  receive  most  therapeu2c  benefit  from  tamoxifen.  •   Iden2fy  pa2ents  who  receive  lihle  benefit  from  chemotherapy.  •   “The  absolute  benefit  for  those  with  a  higher  RS  is  likely  to  outweigh  risk  from  treatment.”  

Harris  et  al.    JCO  2007,  25(33):5287-­‐5312.  

45  year  old  female  1.5  cm  IDC,  single  focus  pT1C  N0  

Nuclear  Grade  Quiz  

• A)  1  

• B)  2  

• C)  3  

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ER  

PR   HER2  

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Independent  QA  of  Oncotype  DX  HER2  Assessment  (Dabbs  et  al.  JCO  Oct  11.  2011)    

•  843  pa2ents  from  3  central  laboratories  with  available  Oncotype  DX  results.  

•  99%  IHC/FISH  neg.  also  neg.  by  Oncotype.  •  All  IHC/FISH  equivocal,  neg.  by  Oncotype.  •  Of  IHC/FISH  posi2ve  cases:    

–  45%  posi2ve  –  33%  equivocal  –  39%  nega2ve  

Limita2on:    Only  4%  of  cohort  HER2  posi2ve  (36  pa2ents)  and  3%  HER2  equivocal  (23  pa2ents).  

TAILORx  Trial  

•  Prospec2ve  randomized  phase  III  study  •  Primary  objec2ve  –  determine  if  hormonal  therapy  is  not  inferior  to  chemotherapy  in  women  with  RS  11-­‐25.  

•  >10,000  ER+  N0  women  to  yield  ~4800  with  RS  11-­‐25  (accrual  completed  –  11,233  /  6,907).  

•  Randomized  to  hormone  Rx  versus  chemotherapy  +  hormone  Rx.  

•  Es2mated  final  results  ~  2014-­‐15.    

TAILORx   Oncotype  DX  –  Technical  Considera2ons  

•  Exclusions:  –  Tumors  <  2  mm  in  maximal  dimension  –  Tumor  occupying  <  5%  of  the  sec2on  

•  Macrodissec2on  to  obtain  enriched  tumor  2ssue:  –  Sec2ons  with  non-­‐tumor  elements  that  were  both  sufficiently  localized  

to  be  amenable  to  macro-­‐dissec2on  and  cons2tuted  >50%  of  the  overall  2ssue  area  of  the  sec2on  

–  Non-­‐tumor  elements  defined  as  :    smooth  muscle,  fibrosis,  hemorrhage,  normal  breast  stromal  2ssue,  but  not  DCIS  or  LCIS  or  necrosis.  

•  Amount  of  2ssue:  –  3  x  10  micron  sec2ons  without  dissec2on    –  6  x  10  micron  sec2ons  with  macro-­‐dissec2on.  

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Tumor  heterogeneity  -­‐  Is  it  a  serious  concern?  

Drury  et  al.    J  Clin  Path  2010,  63:513-­‐7  

Tumor  heterogeneity  -­‐  Is  it  a  serious  concern?  

*  N=19  Pa2ents  

Kim  and  Paik  Nat  Rev  Clin  Oncol,  2010,  7:340-­‐7.  

Oncotype  DX®  21-­‐Gene    Recurrence  Score  (RS)  Assay  

RS = + 0.47 x HER2 Group Score - 0.34 x ER Group Score + 1.04 x Proliferation Group Score + 0.10 x Invasion Group Score + 0.05 x CD68 - 0.08 x GSTM1 - 0.07 x BAG1

16 Cancer and 5 Reference Genes From 3 Studies

Category RS (0 -100) Low risk RS <18 Int risk RS 18 - 30

High risk RS ≥ 31

Paik  et  al.  N  Engl  J  Med.  2004;351:2817-­‐2826.  

PROLIFERATION  Ki-­‐67  STK15  Survivin  Cyclin  B1  MYBL2  

ESTROGEN  ER  PR  Bcl2  

SCUBE2  

INVASION  Stromelysin  3  Cathepsin  L2  

HER2  GRB7  HER2  

“Unaligned”  CD68  GSTM1  BAG1  

REFERENCE  Beta-­‐ac2n  GAPDH  RPLPO  GUS  TFRC  

36 IDC, 2 ILC, 1 DCIS, 1 FA

Microarray (open bx)

+doxorubicin

16 w

Microarray (excision)

20 IDC

LABC Study

Excluded  if  different  

(i.e.  extrinsically  variable)  

The “intrinsic” gene set - missing the elephant (proliferation) in the room

Sorlie  et  al.    PNAS  2003,  100(14):8418-­‐23.  

The  intrinsic  set  revisited  (Hu  et  al.    BMC  Genomics  7:96,  2006).  

Luminal  

HER2  

IFN/STAT1  

Basal  

Prolifera2on  

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Luminal  A Luminal  B Basal HER2

ER + + -­‐ +/-­‐

HER2 -­‐ +/-­‐ -­‐ +

Prolifera2on -­‐ + + +/-­‐

Minimalist  Molecular  Subtypes   IHC4  (ER,  PR,  HER2,  Ki67)    

Cuzick  et  al.    JCO  Oct.  11,  2011.      

IHC4  Score  vs  GH-­‐RS  -­‐  TransATAC  

•  1,125  ER+  ATAC  trial  pa2ents  (non-­‐chemotherapy  arms)  

•  GHI-­‐RS  and  IHC4  computed  •  Distal  recurrence  primary  endpoint  •  Prognos2c  model    -­‐  IHC4  combined  with  classical  variables  assessed  in  separate  786  ER+  NoSngham  cohort  

Cuzick  J  et  al.  J  Clin  Oncol.  2011  Oct  11.  

IHC4  Score  vs  GH-­‐RS  -­‐  TransATAC  

•  ER,  PR,  HER2,  and  Ki-­‐67  each  provided  independent  prognos2c  informa2on  in  the  presence  of  classical  variables.  

•  Informa2on  in  IHC4  was  similar  to  GHI-­‐RS  and  lihle  addi2onal  prognos2c  value  was  seen  in  the  combined  use  of  both  scores.  

•  IHC4  was  validated  in  the  NoSngham  cohort.  

Cuzick  J  et  al.  J  Clin  Oncol.  2011  Oct  11.  

– Williams  et  al.    Appl.  Immuno.  Mol.  Morphol.  2011,  19:431-­‐6.  

•  133  pa2ents  with  Oncotype  Dx  tes2ng.  •  Ki-­‐67  (MIB-­‐1)  and  PPH3  tested,  both  significantly  associated  with  RS  and  grade.  

– Gwin  et  al.  2009  IJSP  17(4),  303-­‐10.  •  32  pa2ents,  overall  concordance  between  Ki-­‐67  and  RS.  •  However,  some  tumors  with  low  RS  but  high  Ki-­‐67.  

– Sahebjam  et  al.    BJC  2011,  1-­‐4.  •  53  cases  ER+,  N0.  •  Clone  30-­‐9  (Venta)  •  Strong  Linear  correla2on  between  Ki67  and  RS.  

Oncotype  DX  versus  Ki-­‐67  

Sahebjam  et.  al.  BJC  2011,  1-­‐4  

High  

Intermediate  

Low  

10.0  

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Wirapa2  et  al.    Breast  cancer  research  2008,  10(4):R65  

*  2,833  breast  invasive  tumors  with  publically  available  gene  expression  and  clinical  data.    

Prolifera2on  and  Predic2ve/Prognos2c  Signatures  

Wirapa2  et  al.    Breast  cancer  research  2008,  10(4):R65  

*  Hazard  ra2o  for  distant  recurrence  free  survival  

Azambuja  et  al,  BJC  2007,  96:1504-­‐13.   Azambuja  et  al,  BJC  2007,  96:1504-­‐13.  

Ki-­‐67  

•  Mouse  monoclonal  an2body  iden2fied  in  1983  by  Gerdes  et  al.  (Int  J  Cancer  31,  13-­‐20)  in  human  Hodgkins  cell  line.  

•  Detailed  understanding  of  structure,  kine2cs  and  subcellular  localiza2on,  but  func2on  remains  poorly  studied.  

•  Different  an2bodies  have  been  generated  to  the  Ki-­‐67  protein  (i.e.  MIB-­‐1,  MIB-­‐3,  MM-­‐1,  Ki-­‐S5,  SP-­‐6,  30-­‐9,  7B11,  DVB-­‐2).  

Losa  et  al,  Clinical  Science  1998,  95,  129-­‐35.  

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Molino et al, AIMM 2002 Dec;10(4):304-9

Ki67  as  a  prognos2c  marker  –  thresholds  of  posi2vity  

*  38  studies  

Prevent    Overtreatment  

Chemosensi.vity  

Luminal  A  vs  B  threshold  

From  the  Danish  Breast  Cancer  Coopera2ve  Tumour  Biology  Commihee  Offersen  et  al.    Histopathology  2003,  43:573-­‐82.  

Ki-­‐67  Reproducibility  

Ki67  Score  Quiz  

•  A)  <  20%  

•  B)  20-­‐30%  

•  C)  30-­‐40%  

•  D)  40-­‐50%  

•  E)  >  50%  From  the  10th  European  Congress  on  Telepathology  and    4th  Intena2onal  Congression  on  Virtual  Microscopy.  Fasanella  et  al.    Diag  Path  2011,  6(S1):S7.  

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JNCI,    103:1-­‐9  Sep.  29  2011  

KI67  Recommenda2ons  

•  MIB1  is  the  gold  standard  •  Ki67  can  be  scored  from  core  and  excision  bxs.  •  TMAs  for  clinical  trials  •  Fixa2on  standards  equivalent  to  ER/PR/HER2.  •  Unstained  <  14  days  at  room  temp.  •  “Image  analysis  methods  for  Ki67  remain  to  be  proven  for  use  in  clinical  prac2ce.”  

JNCI,    103:1-­‐9  Sep.  29  2011  

KI67  Recommenda2ons  -­‐  Scoring  

•  Nuclear  staining  of  any  intensity  is  posi2ve.  •  Count  at  least  500  malignant  cells  (preferably  >  1000)  

•  At  least  three  high-­‐powered  x40  objec2ve  “representa2ve”  of  spectrum  of  staining.  

•  But  “hot  spots”  should  be  included  (A  working  party  is  working  on  the  issue  of  hot  spots).  

•  For  prognos2c  evalua2on,  score  invasive  edge.  

JNCI,    103:1-­‐9  Sep.  29  2011  

“Why  can’t  we  use  estrogen  receptor,  HER2,  Ki-­‐67,  and  tumor  grade  to  guide  treatment  when  breast  cancer  biology  is  essenFally  dictated  by  estrogen  receptor,  HER2,  and  proliferaFon?”    “This  is  an  issue  that  has  been  argued  over  and  over  during  the  past  decade.  To  me  the  answer  is  clear  –  yes,  I  think  we  can  if  we  have  reliable  assays  for  estrogen  receptor  (ER),  HER2,  and  tumor  histological  grade  (or  prolifera2on  with  Ki-­‐67).”  -­‐  Soonmyung  Paik,  The  Breast  20  (2011)  S3,  S87-­‐91  .