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Translational Research Translational Research Translational Research Translational Research in Head & Neck Cancer in Head & Neck Cancer F-F Liu MD FRCPC F-F Liu MD, FRCPC Radiation Oncologist/Senior Scientist University Health


  1. Translational Research Translational Research Translational Research Translational Research in Head & Neck Cancer in Head & Neck Cancer F-F Liu MD FRCPC F-F Liu MD, FRCPC Radiation Oncologist/Senior Scientist University Health Network

  2. Health Network University Research Questions Outline Outline ti 3. Outstanding 4. Conclusions h Q 1. HPV & OPC 2. PMH Data 2. PMH Data R

  3. HPV HPV � dsDNA virus; ~7.9 kb � >300 sub-types identified � HPV16 & 18 account for � HPV16 & 18 account for >98% HPV-positive HNSCC University Health Network

  4. • E6 – inactivates p53 • E7 – destabilizes Rb & increase p16 • Net result: failure to die; uncontrolled proliferation

  5. Shiboski et al; Cancer 103:1843, 2005

  6. HPV-Unrelated HPV-Related Chaturvedi et al ; JCO 26:612, 2008

  7. D’Souza et al ; NEJM 356:1944, 2007

  8. OS DFS All Patients OPC Fakhry et al ; JNCI 100:261, 2008

  9. Hypothesis Hypothesis HPV+ve OPCs are associated with increased p16 protein with increased p16 protein expression, and have an improved outcome improved outcome, compared to HPV-ve OPC. University Health Network

  10. Methods & Materials � In July 2003, a prospective clinical database was established database was established (Anthology of Outcomes) � Real-time clinical data: demographics stage treatment demographics, stage, treatment, and outcome � 3200 patients currently registered University Health Network

  11. Methods & Materials � 2003 – 2006, 112 FFPE biopsies of OPC patients treated at PMH � Histology was reviewed by Dr. P-O � Expression of p53, EGFR and p16 were determined by IHC determined by IHC � HPV16 E6 mRNA determined using qRT- � HPV16 E6 mRNA determined using qRT- PCR University Health Network

  12. Demographics Age Median 57 Range 27- 93 Gender Frequency Percent Male Male 83 83 74% 74% Female 29 26% Smoking/Drinking History: Non-smoker/Non-Drinker Frequency q y Percent 27 24%

  13. T& N Category T-category Frequency Percent Tx 4 3% T1 13 12% T2 51 46% T3 23 20% T4 21 19% N-category Frequency Percent N0 21 19% N1 N1 16 16 14% 14% N2 70 63% N3 5 4% Stage category Frequency Percent I 4 4% II 11 10% III 16 14% IV 81 72% University Health Network

  14. Treatment Approach pp Treatment Frequency Percent CRT (70 Gy/35#/7weeks) CRT (70 Gy/35#/7weeks) 44 44 39% 39% RT alone 68 61% 70G /35#/7 70Gy/35#/7weeks RT alone k RT l 13 13 (19%) (19%) HARDWINS (64Gy/40#/4weeks) 17 (25%) 60 Gy/25#/5weeks 25 (37%) 66 G /30#/6 66 Gy/30#/6weeks k 9 9 (13%) (13%) Other 4 (6%) RT Technique Frequency Percent IMRT 34 30% Non-IMRT 78 70%

  15. p16 Immuno-expression p p p16 : score 3 p16 : score 3 classification more than 25% of tumor cells Score 0 : no staining or non-specific staining Score 1 : weak intensity and incomplete staining Score 2 : moderate intensity and complete staining Score 3 : strong intensity and complete staining g y p g definition definition p16-Positive : Score 2 & 3 64/112 (57%)

  16. 3-year OS, DFS & Probability 3-year OS, DFS & Probability of Relapse of Relapse Overall survival Disease-free survival Probability of relapse 3 year: 80% 3 year: 65% 3 year: 26%

  17. OS, DFS, and Relapse w ith p16 OS, DFS, and Relapse w ith p16 p16+ (3-yr 92%) p16+ (3-yr 82%) OS DFS p16- (3-yr 61%) p16- (3-yr 42%) p16 (3 yr 42%) P<0.0002 P<0.0001 p16- (3-yr 47%) p16- (3-yr 47%) P<0 0001 P<0.0001 Probability of Relapse p16+ (3-yr 12%)

  18. p16 Expression Correlates w ith HPV16 E6 (86 cases) ith HPV16 E6 (86 ) HPV-negative HPV-positive (n=23) (n=63) p16-negative 20 14 34 (23%) (16%) ( ) ( ) p16-positive 3 49 52 16 iti 3 49 52 ( 3%) (57%) P<0.0001

  19. OS and DFS in Relation OS and DFS in Relation to HPV16 to HPV16 O veral l survi val D esease free survi val (3yr-82%) 100 100 (3yr-71%) (3yr-71%) 90 90 80 80 70 70 a v ility v ility 60 60 ( y (3yr-51%) ) 50 50 50 50 P ro b a P ro b a (3yr-43%) 40 40 P=0.003 P=0.0008 30 30 20 20 10 H PV - H PV + 10 H PV - H PV + 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 M onths M onths P=0.053

  20. OS and DFS in Relation to OS and DFS in Relation to HPV16 & HPV16 & p16 Expression p16 Expression O veral l survi val D esease free survi val 100 100 100 100 90 90 80 80 70 70 ility ty i 60 60 l v i P ro b a v P ro b a v 50 50 P=0.0002 P<0.0001 40 40 30 30 20 20 H PV +/p16- H P V +/p16+ H PV +/p16- H PV +/p16+ H PV -/p16- p H P V -/p16+ p 10 10 H PV /p16 H PV -/p16- H PV -/p16+ H PV /p16+ 10 10 0 0 0 10 20 30 40 50 60 0 10 20 30 40 50 60 M onths M onths

  21. Preliminary Conclusions Preliminary Conclusions 1 1. Between 2003-2006, 57% of B t 2003 2006 57% f OPCs are p16 over-expressing. 2. In a sub-group, 73% of OPCs g p, harbour HPV16 E6 mRNA. University Health Network

  22. Preliminary Conclusions Preliminary Conclusions 3. P16 over-expression is significantly associated with i ifi tl i t d ith presence of HPV16 E6 . 4. Both p16 over-expressing, and p p g, HPV-positive OPCs are associated with improved OS, p , DFS, and reduced relapse rates. University Health Network

  23. What are the Mechanism(s)? Weinberger et al; JCO 24:736, 2006 ( ) ( ) What are the Mechanism

  24. Weinberger et al; JCO 24:736, 2006

  25. Weinberger et al; JCO 24:736, 2006

  26. Outstanding Questions Outstanding Questions 1. Why do HPV-positive OPC fare better than HPV-negative disease? better than HPV-negative disease? a) DNA repair defects b/o HPV genes b) Immunologic response b) Immunologic response c) Micro-RNA profiling 2. What host genetic factors lead to HPV-positive OPC? a) SNP profiles University Health Network

  27. Outstanding Questions Outstanding Questions 3. What is the most reliable & expedient method to diagnose expedient method to diagnose HPV-positive OPC? a) HPV16 DNA ISH a) HPV16 DNA ISH b) p16 IHC 4. Should HPV-positive OPC be treated differently? treated differently? a) RT only b) B th RT b) Both RT and CT d CT University Health Network

  28. Outstanding Questions Outstanding Questions 5. Is there a role for HPV vaccines for young male teenagers? a) Evidence supporting this possible approach b) Reduction in population burden University Health Network

  29. Conclusion Conclusion 1. HPV status and p16 expression p p are amongst the most significant predictors for OPC. 2. An evolving entity, with complex g y, p biology, and challenges in clinical management, including health policy implications. University Health Network

  30. PMH HNC Clinicians Sophie Huang B Perez-Ordonez M l Melania Pintilie i Pi tili Dr. Mariano Elia Chair in Head & Neck Cancer Research

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