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Beyond treading water:
functional analysis of tumor initiation
             Science Shaping Our World
                   July 26, 2012




    Craig Ceol, Ph.D.
    Assistant Professor
    Program in Molecular Medicine
    Department of Cancer Biology
Why is melanoma research important and cutting-edge?



 • Metastatic melanoma has been intransigent for a long time.



 • The past decade has seen major advances in understanding
 the genetics of melanoma.



 • In the past year two drugs for the treatment of late-stage melanoma
 were approved.
Agenda


• The basics of melanoma



• Genetics underlying melanoma



• Identifying new melanoma genes through functional analysis



• Melanoma therapy
Melanocytes and skin biology
skin pigmentation                      pigmentation disorders




                        melanocyte




tanning response                             melanoma
Melanocytes reside in the epidermis



                                                                   Interfollicular
                                                                    melanocytes
hematoxylin +
eosin stain
                                                  Bulge w/
                                                  melanocyte
                                                  stem cells


melanocyte-specific                               Bulb w/
stain                                             differentiated
                                                  melanocytes




                                                                   Lin & Fisher, Nature, 2007
Melanin is synthesized inside melanosomes


Melanosome maturation           Electron micrographs of
                                melanosome maturation




                                        Marks & Seabra, NRMCB, 2001
Melanoma progression

            Normal   Nevus          RGP   VGP    Metastatic
Epidermis
Dermis




                       Initiation         Invasion and
                                            metastasis



                                                              adapted from
                                                              Gaggoli & Sahai,
                                                              Pig. Cell Res., 2007
Melanoma subtypes – classically defined


                            Superficial spreading
                            Nodular
                            Lentigo maligna
                            Acral lentiginous
                            Without a primary
                            Ocular




 Superficial spreading                     Lentigo maligna
 common on intermittently                  common on chronically
 sun-exposed skin                          sun-exposed skin



 Nodular                                   Acral lentiginous
 Rapid growth typical;                     volar surfaces, skin w/o
 poor prognosis                            sun exposure


                                                     Whiteman, DC, et al. PCMR 2012
Clinical staging of melanomas


Depth of invasion:
    Breslow depth          5-year survival rate
       < 1 mm                   95-100%           1 mm depth
       1-2 mm                    80-96%
       2-4 mm                    60-75%
       > 4 mm                     50%



 Ulceration: present or absent

 Metastatic spread:
      local (Stage III)
      distant (Stage IV)
Patients with advanced disease face a bleak prognosis




   • 76,250 new cases and 9,180 deaths est. in 2012 (US only)
   • Short window of time between detection and metastasis

                                                        Balch, CM, et al. J Clin Oncol 2001
Why identify mutant genes in melanoma?




• Understand how mutations contribute to tumor progression:
initiation, migration, metastasis, drug resistance, etc.


• Identify targets for drug development:
target oncogenes that are overactive in tumors
Identifying mutations in melanoma


• PRE-GENOME SEQUENCE:
     Mapping and cloning familial melanoma genes.
     Sequencing of candidate genes.
     e.g. CDKN2A, NRAS
    Albino, et al., 1984; Kamb, Hussusian et al., 1994




• POST-GENOME SEQUENCE:
    Targeted ‘resequencing’ of groups of genes.
    e.g. Kinome resequencing discovers frequent BRAF mutations
    Davies et al., 2002
Mutations that overactivate BRAF
                      are common in melanoma

• 50-60% of all melanomas have a mutation affecting the BRAF gene, although this
percentage is skewed toward the superficial spreading subtype.

• Of these 90% are BRAFV600E

• The BRAFV600E protein is overactive and can signal independent of upstream
stimulation
               stimulus




                BRAF                                 BRAFV600E



             cell division                           cell division


                                                                     Davies et al., Nature, 2002
BRAF-mediated signaling is critical
                but not sufficient for melanoma


Nevus (mole)                             Melanoma




      ~80% have BRAF                           ~60% have BRAF
         mutations                                mutations


What cooperates with mutant BRAF to initiate melanoma?
Identifying mutations in melanoma


• PRE-GENOME SEQUENCE:
     Mapping and cloning familial melanoma genes.
     Sequencing of candidate genes.
     e.g. CDKN2A, NRAS
    Albino, et al., 1984; Kamb, Hussusian et al., 1994




• POST-GENOME SEQUENCE:
    Targeted ‘resequencing’ of groups of genes.
    e.g. Kinome resequencing discovers frequent BRAF mutations
    Davies et al., 2002




• ADVENT OF MASSIVELY PARALLEL (a.k.a. DEEP) SEQUENCING:
    Sequence entire genome or all protein-coding DNA (i.e. the exome).
    e.g. common PREX2 and GRIN2A, GRM3 glutamate receptor mutations
    Berger et al., 2012; Wei et al., 2011
The chaos inside a melanoma cell




                      Profile of mutations:
                         33,345 DNA base substitutions
                         (187 predicted to affect proteins)
                         frequent copy number variation
                         several rearrangements




                                              Pleasance et al., Nature 2010
Melanomas contain a high mutation load
              as compared to other cancers




• High mutation load in melanomas reflective of UV-induced mutations.


                                                                        Samuels, PCMR, 2012
Large-scale melanoma sequencing

                                     121 tumors




How do different melanoma mutations interact?
Will there be additional value to further sequencing?
                                                        Hodis, Chin et al., Cell, 2012
What does sequencing not provide?




• Functional appreciation of how cancer genes work and how mutations
in a given tumor interact with each other.


• Identification of genes that promote cancer, but which are not mutated.
Copy number varied intervals contain
                 important melanoma genes
Recurrent copy number variations in set of >90 melanomas




                                                           Lin et al., 2008
Zebrafish are valuable for studying
                                      melanocyte biology and melanoma


                                                                                                  melanin
                                                                                                 retention

                                                                                                   single cell
                                                                                                   resolution



  conserved                                                                            mutants
 development                       Non-mesenchymal                                                     Differentiating        Terminally
      Neural Crest                   Neural Crest                                    Melanoblast        Melanocyte          Differentiated
                                                                                         kit                             albino
                 Non-mesenchymal                  Differentiating     Terminally
Neural Crest       Neural Crest    Melanoblast     Melanocyte       Differentiated




   sox2        sox2sox10             sox10
                                      mitfa      sox10
                                                    sox10
                                                     mitfa
                                                                       sox10
                                                                        mitfa
                                                                                       sox10
                                                                                         ednrb             sox10         mitfa sox10
                                                        dct              dct
                                                                         tyr
                                                                                        mitfa               mitfa                 mitfa
                                                                                                             dct                   dct
                                                                                                                                   tyr
A zebrafish model of melanoma




                        100
Percent melanoma-free




                        80

                                                                         Tg(mitfa:BRAFV600E);p53(lf)
        Survival




                        60
                                                                         Tg(mitfa:BRAFV600E)
                        40
                                                                         p53(lf)
                        20

                         0
                              0   10   20    30    40     50   60   70
                                            Age (weeks)
Zebrafish with designer melanocytes

Start with a melanoma-
prone but melanocyte-
deficient strain

Rescue melanocytes and
spike in gene of interest



Rescued melanocytes with
gene of interest expressed




Melanomas develop with
gene of interest expressed;
all phases of melanoma
progression captured
SETDB1 is the sole enhancer in the
                                                chromosome 1q21 interval
                                 100
                                                   ARNT
                                                                                        CDC42SE1
                                                                                        ECM1
                                                                                        ENSA
Percent melanoma-free survival




                                  80
                                                   FAM63A
                                                                                        LASS2
                                                                                        MLLT11
                                                                                        MRPL9
                                  60
                                                   PIK4CB
                                                                                        PIP5K1A
                                                                                        POGZ combined
                                                                                        PRUNE
                                  40
                                                   PSMBeta1
                                                                                        PSMD4
                                                                                        RFX5
                                                                                        TARS2
                                                                                        SETDB1 2008-01-16
                                  20
                                                                                        SETDB1 2008-01-29
                                                                                        GFP 2007-09-13
                                                                                        GFP 2007-11-01
                                                                                        GFP 2007-11-27
                                   0
                                        5
    10
        15
        20
           25
                                                     Age (weeks)
SETDB1 is the sole enhancer in the
                                                chromosome 1q21 interval
                                 100

                                                                   SETDB1 average vs. EGFP average
                                                                   p=3.1x10-6
Percent melanoma-free survival




                                  80



                                  60



                                  40



                                                                                           SETDB1 2008-01-16
                                  20
                                                                                           SETDB1 2008-01-29
                                                                                           GFP 2007-09-13
                                                                                           GFP 2007-11-01
                                                                                           GFP 2007-11-27
                                   0
                                        5
    10
        15
          20
           25
                                                     Age (weeks)
Genetic studies of melanoma-prone cohorts
                        independently focus on SETDB1




                         -log10(P value)
                                                         Amos et al., 2011
-log10(P value)




                                                         Macgregor
                                                         et al., 2011
Large intervals of copy number variation remain

Recurrent copy number variations in set of >90 melanomas




                                                           Lin et al., 2008
Syntenic dispersal between zebrafish and human genomes

                                              Homo sapiens
                                              Mus musculus


                                               Danio rerio

zebrafish map to human   mouse map to human
                                                      50 mya
Designer melanocyte-based analysis informed
               by comparative oncogenomics

                             Copy gain in human melanoma:


                   Determine CNV in
                  zebrafish melanomas



             Make designer melanocytes
             and melanomas that express
             candidates


        100
        80                                                  Metastatic spread
Tumor   60                                                  and other
onset   40
                                                            histological
                                miniCoopR-EGFP
        20                      miniCoopR-oncogene
        0
                                                            features
              5     8   11     14    17     20
Syntenic intervals recurrently amplified
                        in zebrafish and human melanomas

Human                                               Human
                0 MB                        64 MB              42 MB               78 MB
       Chr 20                                          Chr 17


                                 Mapping onto              Mapping onto
                                 fish genome               fish genome

Fish                                                Fish

   Chr 13                                                   Chr 10

   Chr 17                                                  Chr 15



                        Chr 23                                            Chr 11

                        Chr11                              Chr 5


            AMPLIFIED               NOT AMPLIFIED
Targeted therapies take advantage of oncogene addiction

    Once tumor is established:
                           Withdraw oncogene


           tumor cell

    Tumor initiation:

                            Oncogene mutation


           normal cell


Oncogene addiction: the phenomenon by which some cancers that contain
multiple genetic and epigenetic abnormalities remain dependent on
(addicted to) one or a few genes for both maintenance of the malignant
phenotype and cell survival.
Chronic Myeloid Leukemia (CML)

                  ~95% of CML patients have (9;22)
                  chromosomal translocation, which
                  generates a new oncoprotein BCR-
                  ABL.




BCR-
ABL                    Increased BCR-
                       ABL expression




       ~85% of patients are                    Imatinib
        in CP at diagnosis
                                             Melo JV and Barnes DJ, et al, Nat Rev Cancer, 2007
Second site mutations are a frequent cause of resistance
                     to kinase inhibitors

CML/GIST
  BCR-ABL (CML); KIT/PDGFRα (GIST);
      Imatinib resistance in CML
           >90 different resistant variants
                      85% mutations found in 9 AA
                            BCR-ABL (T315I)
                            KIT (T670I)
                                                                http://www.cmlalliance.com/
                            PDGFRα (T674I)                      images/BCR-ABL-protein-cml.jpg


NSCLC
   EGFR
       Gefitinib/Erlotinib
             (T790M)

   EML4-ALK
       Crizotinib
             (L1196M)
                                              Soda M., et al. Nature, 2007.
Selective BRAF inhibitors


PLX4032 (Vemurafenib) -APPROVED       XL281/BMS908662- Phase 1



                                      RAF265- PHASE 1

GSK2118436/SB590885- PHASE 3




                                      GDC-0879-Preclinical
PLX4032 is effective, but tumors relapse
Phase III clinical trials with BRAFV600E inhibitor PLX4032:



                                                                        Resistant
                                                                        tumors
                                      +PLX4032                          develop




                                                       PLX4032(n=336)
     Overall Survival, %




                             Dacarbazine (n=336)




                                 Months After Beginning Treatment         Chapman et al., NEJM 2011
Modes of PLX4032 resistance

• Primary resistance:
Patient tumors have BRAFV600E mutation, but no response to PLX4032 observed.
Resistance is present in most cells of the tumor prior to treatment.


• Secondary resistance:
Patient tumors initially regress, but within months progression occurs.
Most of the tumor cells are sensitive, but minor subpopulations of cells are
resistant; treatment selects for these minor subpopulations and relapse is driven
by them.




                Prior to           Response                After
              treatment             phase                resistance
                                                                  Wagle N et al. JCO 2011;29:3085-3096
Many routes to PLX4032 resistance




   Alternative splicing of BRAF
                                  -


                                      Corcoran RB et al. Oncotarget, 2011
What does the future hold for targeted therapy?


• Genome sequencing of tumors. Are there actionable mutations?


• Match targeted therapy to mutations present in tumor.
    PLX4032 for BRAFV600E; Imatinib for BCR-ABL, KIT mutant tumors
    Note: different tumor types may be targetable by same drug
    because of similar genetics, e.g. BRAFV600E mutations also found in
    some colorectal, multiple myeloma, adult lymphoblastic leukemia.


• Try combination therapies or effective second line therapies to
combat drug resistance.


• Couple with non-specific therapies where advantageous.
Acknowledgments

        UNIVERSITY of MASSACHUSETTS
        MEDICAL SCHOOL




LAB MEMBERS:         CHB:             FUNDING:
Eli Freiman          Yariv Houvras
Justin Hess          Len Zon                     Worcester Foundation for
Sharanya Iyengar                                 Biomedical Research
Melissa Kasheta
James Neiswender
Ana Neto
Arvind Venkatesan

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Science Shaping Our World-SHOW: Beyond Treading Water: Functional Analysis of Tumor Initiation and Maintenance

  • 1. Beyond treading water: functional analysis of tumor initiation Science Shaping Our World July 26, 2012 Craig Ceol, Ph.D. Assistant Professor Program in Molecular Medicine Department of Cancer Biology
  • 2. Why is melanoma research important and cutting-edge? • Metastatic melanoma has been intransigent for a long time. • The past decade has seen major advances in understanding the genetics of melanoma. • In the past year two drugs for the treatment of late-stage melanoma were approved.
  • 3. Agenda • The basics of melanoma • Genetics underlying melanoma • Identifying new melanoma genes through functional analysis • Melanoma therapy
  • 4. Melanocytes and skin biology skin pigmentation pigmentation disorders melanocyte tanning response melanoma
  • 5. Melanocytes reside in the epidermis Interfollicular melanocytes hematoxylin + eosin stain Bulge w/ melanocyte stem cells melanocyte-specific Bulb w/ stain differentiated melanocytes Lin & Fisher, Nature, 2007
  • 6. Melanin is synthesized inside melanosomes Melanosome maturation Electron micrographs of melanosome maturation Marks & Seabra, NRMCB, 2001
  • 7. Melanoma progression Normal Nevus RGP VGP Metastatic Epidermis Dermis Initiation Invasion and metastasis adapted from Gaggoli & Sahai, Pig. Cell Res., 2007
  • 8. Melanoma subtypes – classically defined Superficial spreading Nodular Lentigo maligna Acral lentiginous Without a primary Ocular Superficial spreading Lentigo maligna common on intermittently common on chronically sun-exposed skin sun-exposed skin Nodular Acral lentiginous Rapid growth typical; volar surfaces, skin w/o poor prognosis sun exposure Whiteman, DC, et al. PCMR 2012
  • 9. Clinical staging of melanomas Depth of invasion: Breslow depth 5-year survival rate < 1 mm 95-100% 1 mm depth 1-2 mm 80-96% 2-4 mm 60-75% > 4 mm 50% Ulceration: present or absent Metastatic spread: local (Stage III) distant (Stage IV)
  • 10. Patients with advanced disease face a bleak prognosis • 76,250 new cases and 9,180 deaths est. in 2012 (US only) • Short window of time between detection and metastasis Balch, CM, et al. J Clin Oncol 2001
  • 11. Why identify mutant genes in melanoma? • Understand how mutations contribute to tumor progression: initiation, migration, metastasis, drug resistance, etc. • Identify targets for drug development: target oncogenes that are overactive in tumors
  • 12. Identifying mutations in melanoma • PRE-GENOME SEQUENCE: Mapping and cloning familial melanoma genes. Sequencing of candidate genes. e.g. CDKN2A, NRAS Albino, et al., 1984; Kamb, Hussusian et al., 1994 • POST-GENOME SEQUENCE: Targeted ‘resequencing’ of groups of genes. e.g. Kinome resequencing discovers frequent BRAF mutations Davies et al., 2002
  • 13. Mutations that overactivate BRAF are common in melanoma • 50-60% of all melanomas have a mutation affecting the BRAF gene, although this percentage is skewed toward the superficial spreading subtype. • Of these 90% are BRAFV600E • The BRAFV600E protein is overactive and can signal independent of upstream stimulation stimulus BRAF BRAFV600E cell division cell division Davies et al., Nature, 2002
  • 14. BRAF-mediated signaling is critical but not sufficient for melanoma Nevus (mole) Melanoma ~80% have BRAF ~60% have BRAF mutations mutations What cooperates with mutant BRAF to initiate melanoma?
  • 15. Identifying mutations in melanoma • PRE-GENOME SEQUENCE: Mapping and cloning familial melanoma genes. Sequencing of candidate genes. e.g. CDKN2A, NRAS Albino, et al., 1984; Kamb, Hussusian et al., 1994 • POST-GENOME SEQUENCE: Targeted ‘resequencing’ of groups of genes. e.g. Kinome resequencing discovers frequent BRAF mutations Davies et al., 2002 • ADVENT OF MASSIVELY PARALLEL (a.k.a. DEEP) SEQUENCING: Sequence entire genome or all protein-coding DNA (i.e. the exome). e.g. common PREX2 and GRIN2A, GRM3 glutamate receptor mutations Berger et al., 2012; Wei et al., 2011
  • 16. The chaos inside a melanoma cell Profile of mutations: 33,345 DNA base substitutions (187 predicted to affect proteins) frequent copy number variation several rearrangements Pleasance et al., Nature 2010
  • 17. Melanomas contain a high mutation load as compared to other cancers • High mutation load in melanomas reflective of UV-induced mutations. Samuels, PCMR, 2012
  • 18. Large-scale melanoma sequencing 121 tumors How do different melanoma mutations interact? Will there be additional value to further sequencing? Hodis, Chin et al., Cell, 2012
  • 19. What does sequencing not provide? • Functional appreciation of how cancer genes work and how mutations in a given tumor interact with each other. • Identification of genes that promote cancer, but which are not mutated.
  • 20. Copy number varied intervals contain important melanoma genes Recurrent copy number variations in set of >90 melanomas Lin et al., 2008
  • 21. Zebrafish are valuable for studying melanocyte biology and melanoma melanin retention single cell resolution conserved mutants development Non-mesenchymal Differentiating Terminally Neural Crest Neural Crest Melanoblast Melanocyte Differentiated kit albino Non-mesenchymal Differentiating Terminally Neural Crest Neural Crest Melanoblast Melanocyte Differentiated sox2 sox2sox10 sox10 mitfa sox10 sox10 mitfa sox10 mitfa sox10 ednrb sox10 mitfa sox10 dct dct tyr mitfa mitfa mitfa dct dct tyr
  • 22. A zebrafish model of melanoma 100 Percent melanoma-free 80 Tg(mitfa:BRAFV600E);p53(lf) Survival 60 Tg(mitfa:BRAFV600E) 40 p53(lf) 20 0 0 10 20 30 40 50 60 70 Age (weeks)
  • 23. Zebrafish with designer melanocytes Start with a melanoma- prone but melanocyte- deficient strain Rescue melanocytes and spike in gene of interest Rescued melanocytes with gene of interest expressed Melanomas develop with gene of interest expressed; all phases of melanoma progression captured
  • 24. SETDB1 is the sole enhancer in the chromosome 1q21 interval 100 ARNT CDC42SE1 ECM1 ENSA Percent melanoma-free survival 80 FAM63A LASS2 MLLT11 MRPL9 60 PIK4CB PIP5K1A POGZ combined PRUNE 40 PSMBeta1 PSMD4 RFX5 TARS2 SETDB1 2008-01-16 20 SETDB1 2008-01-29 GFP 2007-09-13 GFP 2007-11-01 GFP 2007-11-27 0 5 10 15 20 25 Age (weeks)
  • 25. SETDB1 is the sole enhancer in the chromosome 1q21 interval 100 SETDB1 average vs. EGFP average p=3.1x10-6 Percent melanoma-free survival 80 60 40 SETDB1 2008-01-16 20 SETDB1 2008-01-29 GFP 2007-09-13 GFP 2007-11-01 GFP 2007-11-27 0 5 10 15 20 25 Age (weeks)
  • 26. Genetic studies of melanoma-prone cohorts independently focus on SETDB1 -log10(P value) Amos et al., 2011 -log10(P value) Macgregor et al., 2011
  • 27. Large intervals of copy number variation remain Recurrent copy number variations in set of >90 melanomas Lin et al., 2008
  • 28. Syntenic dispersal between zebrafish and human genomes Homo sapiens Mus musculus Danio rerio zebrafish map to human mouse map to human 50 mya
  • 29. Designer melanocyte-based analysis informed by comparative oncogenomics Copy gain in human melanoma: Determine CNV in zebrafish melanomas Make designer melanocytes and melanomas that express candidates 100 80 Metastatic spread Tumor 60 and other onset 40 histological miniCoopR-EGFP 20 miniCoopR-oncogene 0 features 5 8 11 14 17 20
  • 30. Syntenic intervals recurrently amplified in zebrafish and human melanomas Human Human 0 MB 64 MB 42 MB 78 MB Chr 20 Chr 17 Mapping onto Mapping onto fish genome fish genome Fish Fish Chr 13 Chr 10 Chr 17 Chr 15 Chr 23 Chr 11 Chr11 Chr 5 AMPLIFIED NOT AMPLIFIED
  • 31. Targeted therapies take advantage of oncogene addiction Once tumor is established: Withdraw oncogene tumor cell Tumor initiation: Oncogene mutation normal cell Oncogene addiction: the phenomenon by which some cancers that contain multiple genetic and epigenetic abnormalities remain dependent on (addicted to) one or a few genes for both maintenance of the malignant phenotype and cell survival.
  • 32. Chronic Myeloid Leukemia (CML) ~95% of CML patients have (9;22) chromosomal translocation, which generates a new oncoprotein BCR- ABL. BCR- ABL Increased BCR- ABL expression ~85% of patients are Imatinib in CP at diagnosis Melo JV and Barnes DJ, et al, Nat Rev Cancer, 2007
  • 33. Second site mutations are a frequent cause of resistance to kinase inhibitors CML/GIST BCR-ABL (CML); KIT/PDGFRα (GIST); Imatinib resistance in CML >90 different resistant variants 85% mutations found in 9 AA BCR-ABL (T315I) KIT (T670I) http://www.cmlalliance.com/ PDGFRα (T674I) images/BCR-ABL-protein-cml.jpg NSCLC EGFR Gefitinib/Erlotinib (T790M) EML4-ALK Crizotinib (L1196M) Soda M., et al. Nature, 2007.
  • 34. Selective BRAF inhibitors PLX4032 (Vemurafenib) -APPROVED XL281/BMS908662- Phase 1 RAF265- PHASE 1 GSK2118436/SB590885- PHASE 3 GDC-0879-Preclinical
  • 35. PLX4032 is effective, but tumors relapse Phase III clinical trials with BRAFV600E inhibitor PLX4032: Resistant tumors +PLX4032 develop PLX4032(n=336) Overall Survival, % Dacarbazine (n=336) Months After Beginning Treatment Chapman et al., NEJM 2011
  • 36. Modes of PLX4032 resistance • Primary resistance: Patient tumors have BRAFV600E mutation, but no response to PLX4032 observed. Resistance is present in most cells of the tumor prior to treatment. • Secondary resistance: Patient tumors initially regress, but within months progression occurs. Most of the tumor cells are sensitive, but minor subpopulations of cells are resistant; treatment selects for these minor subpopulations and relapse is driven by them. Prior to Response After treatment phase resistance Wagle N et al. JCO 2011;29:3085-3096
  • 37. Many routes to PLX4032 resistance Alternative splicing of BRAF - Corcoran RB et al. Oncotarget, 2011
  • 38. What does the future hold for targeted therapy? • Genome sequencing of tumors. Are there actionable mutations? • Match targeted therapy to mutations present in tumor. PLX4032 for BRAFV600E; Imatinib for BCR-ABL, KIT mutant tumors Note: different tumor types may be targetable by same drug because of similar genetics, e.g. BRAFV600E mutations also found in some colorectal, multiple myeloma, adult lymphoblastic leukemia. • Try combination therapies or effective second line therapies to combat drug resistance. • Couple with non-specific therapies where advantageous.
  • 39. Acknowledgments UNIVERSITY of MASSACHUSETTS MEDICAL SCHOOL LAB MEMBERS: CHB: FUNDING: Eli Freiman Yariv Houvras Justin Hess Len Zon Worcester Foundation for Sharanya Iyengar Biomedical Research Melissa Kasheta James Neiswender Ana Neto Arvind Venkatesan