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Molecular Characterization and Therapeutic Targeting of TFE Fusion - PDF document

9/30/2020 Molecular Characterization and Therapeutic Targeting of TFE Fusion Kidney Cancers Srinivas R. Viswanathan, MD, PhD Dana-Farber Cancer Institute 10-22-2020 1 Translocation renal cell carcinoma (tRCC) Overview Aggressive type of


  1. 9/30/2020 Molecular Characterization and Therapeutic Targeting of TFE Fusion Kidney Cancers Srinivas R. Viswanathan, MD, PhD Dana-Farber Cancer Institute 10-22-2020 1 Translocation renal cell carcinoma (tRCC) Overview • Aggressive type of non-clear cell renal cell carcinoma. • Distinct subtype of RCC (WHO, 2016) • Characterized by in-frame gene fusions involving a member of the MIT/TFE transcription factor family ( TFEB , TFEC , TFE3 , MiTF ) Moch et al., Eur Urol, 2016 2 1

  2. 9/30/2020 Translocation renal cell carcinoma (tRCC) Epidemiological/Clinical Features • 30-40% of pediatric RCC; 1-5% of adult RCC • Incidence in adults may be underestimated due to morphological overlap with other RCC subtypes • Median age ~ 40 (for both TFE3 and TFEB tRCC) • Female to male predominance • Associated with prior exposure to chemotherapy (secondary malignancy) • Lymph node metastases predominate Caliò et al., Cancers, 2019 3 Translocation renal cell carcinoma (tRCC) Clear cell pattern Pathological Features • Can mimic other common subtypes of RCC • Many different architectural and cytologic features possible • Papillary architecture with epithelioid clear Papillary pattern cells and abundant psammoma bodies most distinctive Cystic pattern Caliò et al., Cancers, 2019; Crumley et al., WJCC, 2013 4 2

  3. 9/30/2020 Translocation renal cell carcinoma (tRCC) Diagnosis • PAX2/8+CK7- • Melanocyte markers may be positive (Melan-A; HMB45) • Cathepsin K positive in ~50% • IHC for TFE3 protein can detect overexpressed nuclear TFE3 due to translocation but poor PPV. • Caveats: false positives from detection of native TFE3; detection is highly fixation-dependent • Break-apart FISH highly sensitive and specific • Caveat: split signals can be very close in cases of fusions arising via intrachromosomal inversion Green et al., AJSP, 2013; Crumley et al., WJCC, 2013 5 Structure of TFE Fusions TFE3 Fusion Structure TFE3 fusions • In-frame fusions that produce a chimeric TFE3 protein product • C-terminal exons of TFE3 (bHLH-LZ +/- AD) and Fusion N-terminal exons from one of several fusion partner partners TFEB fusions • Typically MALAT1-TFEB gene fusions with breakpoints before the start codon in TFEB TFE3 fusion • Retention of complete TFEB coding sequence Shatha AbuHammad; Kauffman et al., Nat Rev Urol., 2014 6 3

  4. 9/30/2020 TFE3 fusion partners • > 15 different TFE3 fusion partners have been ASPL described CLTC DVL2 • Most common: EWSR1 Domains FUBP1 • PRCC-TFE3: FUBP2 RRM KH t(X;1)(p11.2;q21) LUC7L3 GRIPAP1 PLD RGG MATR3 • ASPL-TFE3: MED15 t(X;17)(11.2;q25) NONO • SFPQ-TFE3: PARP14 PRCC t(X;1)(p11.2;p34) RBM10 • Many partners are RNA RBMX SETD1B binding proteins or SFPQ nuclear proteins U2FA2 Shatha AbuHammad 7 TFE3 fusion partners and the mechanisms that produce fusions • TFE3 fusions usually arise via balanced (reciprocal) translocation chrX chr17 • Both intra- and inter- chromomal rearrangement PRCC-TFE3 fusion in a male partners chr1 chrX 3 2 1 0 150 155 160 165 40 45 50 55 • Some chromosomal locations Genome Coordinate (Mb) harbor multiple TFE3 partners Argani et al., Am. J. Path., 2001; Cheng-Zhong Zhang 8 4

  5. 9/30/2020 The molecular landscape of tRCC • tRCC cohorts have been profiled by targeted panel/WES • MIT/TFE fusions are universal • Few other recurrent alterations • Mutations in chromatin remodeling genes • TERT promoter mutations • Arm-level copy number events relatively From Marcon et al., CCR, 2020 common and may be associated with disease aggressiveness. Malouf et al., CCR, 2013/14; Marcon et al., CCR, 2020 9 Prior RCC sequencing studies contain tRCC samples • Several prior large-scale ccRCC, pRCC, chRCC sequencing efforts each contain a small number of “mis-classified” tRCCs • Pooling tRCC data across these large datasets may provide increased power to more precisely define the molecular landscape of tRCC Ziad Bakouny; Nebiyou Metaferia; Toni Choueiri 10 5

  6. 9/30/2020 Prior RCC sequencing studies contain tRCC samples • The transcriptional program in tRCC is quite distinct from that of other RCC subtypes Ziad Bakouny; Nebiyou Metaferia; Toni Choueiri 11 tRCC has distinct clinical features from other RCC subtypes (localized & metastatic) Variable N (%) Institutional Cohort Sex Male 24 (36) Female 42 (64) Age at diagnosis, median (range) 48 (15-89) Initial disease extent OS Localized 42 (64) Subsequent relapse 14 (33) Metastatic (de novo) 24 (36) History of childhood cancer 1 (2) Prior chemotherapy 4 (6) Variable N (%) Sex Time Male 29 (51) (metastatic) Female 28 (49) • Female predominance (localized dz) De novo metastatic disease IMDC Male 18 (45) • Subset have exposure to prior to Female 22 (55) Age at diagnosis, median (range) 42 (15-78) chemotherapy Prior chemotherapy 4 (7) IMDC risk at 1 st line therapy Good 4 (7) • OS poor compared with ccRCC and Intermediate/Poor 53 (93) chRCC Praful Ravi; Ziad Bakouny; Toni Choueiri; IMDC 12 6

  7. 9/30/2020 Selectively targeting tRCC • TFE3 fusions are a selective vulnerability of tRCC cells ccRCC tRCC 13 Potential therapeutic targets in tRCC Theraputic Target Reference RET Baba, M. et al. Mol Cancer Res , 201 Tsuda, M. et al. Cancer research, 2007 MET Kobos, R. et al. The Journal of pathology , 2013 NAMPT Kobos, R. et al. The Journal of pathology , 2013 nicotinamide phosphoribosyltransferase WNT Calcagni, A. et al. Elife , 2016 mTORC1/2 Kauffman, E. C. et al. BMC Cancer , 2019 IRS-1/PI3K/AKT/mTOR Damayanti et al. CCR, 2018 14 7

  8. 9/30/2020 Conclusions • tRCC is clinically aggressive compared with other RCC subtypes and further research into this subtype of RCC remains an unmet need • Molecular landscape of tRCC is emerging • Several molecular pathways downstream of MIT/TFE fusions have been nominated as therapeutic targets 15 Acknowledgements  Ziad Bakouny  Gregory Brunette Viswanathan Lab  Praful Ravi  Tarek Bismar  Shatha AbuHammad  Jiao Li  Thomas Denize  Shaan Dudani  Vidya Sethunath  Jack Steinharter  Daniel Heng  Emma Garner  Gabrielle Bouchard  Sabina Signoretti  Nebiyou Metaferia  Catherine Curran  Cheng-Zhong Zhang  Stephen Tang  Jinyu Wang  Toni Choueiri  Richard Tourdot  IMDC 16 8

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