Genomic landsccape of poorly differentiated and anaplastic thyroid carcinomas: Clues for better classification, risk stratification and therapy

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ACCME/Disclosures The USCAP requires that anyone in a position to influence or control the content of CME disclose any relevant financial relationship WITH COMMERCIAL INTERESTS which they or their spouse/partner have, or have had, within the past 12 months, which relates to the content of this educational activity and creates a conflict of interest. Dr. Ronald A. Ghossein declares he has no conflict(s) of interest to disclose.

Genomic landsccape of poorly differentiated and anaplastic thyroid carcinomas: Clues for better classification, risk stratification and therapy Ronald Ghossein MD Director of Head and Neck Pathology Memorial Sloan-Kettering Cancer Center New York, NY

Importance Histopathology: Outline: - Poorly differentiated carcinomas. Genomic landscape of poorly differentiated and anaplastic carcinomas. -Mutation burden - Somatic mutation -Gene fusion -Somatic copy number alterations -Gene expression

Comprehensive genotyping lacking and needed for novel therapies Importance of poorly differentiated Rare (5-10%) and anaplastic carcinoma Deadly (5 year survival: 60% poorly diff; 0-14% for anaplastic). No effective treatment.

Old clinicians used to say that the classification of thyroid cancer was very simple. There was a group of well differentiated, slow growing tumors that never killed anybody, and a group of rapidly growing tumors that killed everybody L. Woolner Dept. of Pathology Mayo Clinic

Poorly Differentiated Thyroid Carcinomas Tumors of follicular cell origin showing histologic and prognostic features intermediate between Well Differentiated Thyroid Carcinomas and Anaplastic Carcinoma.

Wuchernde struma Insular carcinoma P. Langhans Carcangiu, Zampi,Rosai 1907 1984

HISTOLOGIC FEATURES OF POORLY DIFFERENTIATED THYROID CARCINOMAS Solid/trabecular/insular growth Necrosis Capsular invasion Vascular invasion If all the above are present, everybody agrees on the Poorly differentiated diagnosis

THE BIG QUESTION WHAT DEFINES POORLY DIFFERENTIATED THYROID CARCINOMAS? -SOLID GROWTH PATTERN ALONE OR - MITOSIS/NECROSIS ALONE

TURIN PROPOSAL: DIAGNOSTIC CRITERIA FOR PD CARCINOMA Volante et al. Am J Surg Pathol. 2007;31:1256-64.

Turin proposal: Diagnostic algorithm for poorly differentiated carcinoma Necrosis and mitosis: Essential diagnostic criteria Volante et al. Am J Surg Pathol. 2007;31:1256-64.

TURIN PROPOSAL PTC No necrosis ANA PD Necrosis

POORLY DIFFERENTIATED THYROID CARCINOMAS: DEFINED ON THE BASIS OF MITOSIS AND NECROSIS. A clinico-pathologic study of 58 cases. D. Hiltzik, D. Carlson, M. Tuttle, S. Chuai, N. Ishill, J. Shah, A. Shaha, B. Singh, R. Ghossein. Cancer (March) 2006.

POORLY DIFFERENTIATED THYROID CARCINOMAS MSKCC DEFINITION Any tumor showing follicular cell differentiation at the histologic and immunohistochemical level (TGB +) with 5 or more MITOSIS per 10 high power fields and/or NECROSIS. Growth pattern and cell type (follicular or papillary) IRRELEVANT

Poorly differentiated thyroid carcinomas defined on the basis of mitosis and necrosis necrosis

Overall survival Poorly differentiated thyroid ca Total number of patients=58 Number Total number of deaths= of patients= 22 58 Number of deaths= 22 Median OS: 79 months Median OS: 79 months 5 year survival: 60%

Predictors of poor overall survival in poorly differentiated thyroid carcinomas defined on the basis of mitosis and necrosis Tumor > 4cm p=0.02 Absence of a capsule p=0.001 Extra-thyroid extension p=0.001 Margins p=0.001

Factors with NO influence on overall survival in poorly differentiated thyroid carcinomas defined on the basis of mitosis and necrosis - Growth pattern (solid vs foll/pap) p=1 - Cell type (oncocytic vs non-oncocytic) p=0.6 - Cell size (large vs small) p=0.07

POORLY DIFFERENTIATED THYROID CARCINOMA MAIN CAUSE OF RADIOACTIVE IODINE (RAI) REFRACTORY DISEASE 46 % of radioactive iodine refractory PET positive thyroid carcinomas are poorly differentiated (based on mitosis and necrosis). Rivera M, Ghossein R, Schoder H et al. Histopathologic characterization of RAI refractory PET positive thyroid carcinomas. Cancer 2008

Many RAI refractory thyroid carcinomas with mitosis and necrosis are diagnosed as Papillary carcinoma or follicular carcinoma suggesting indolent behavior to clinicians 15 (68%) of 22 poorly differentiated RAI refractory were initially classified as PTC, follicular carcinoma or Hurthle cell carcinoma.

INITIAL DX AND GROWTH PATTERN OF 15 RECLASSIFIED POORLY DIFFERENTIATED THYROID CARCINOMAS Initial Diagnosis Growth Pattern 1. Classical PTC (n=5) 1. 80% percent with papillary/follicular growth 2. PTC, follicular variant (n=2) 2. 100% with follicular growth 3. PTC, moderately differentiated (n=3) 3. 33% with follicular growth 4. Follicular/ Hurthle Cell Ca (n=4) 4. 50% with follicular growth 5. Diffuse sclerosing PTC (n=1) 5. Solid growth with clear nuclei

Latest comprehensive genomic analysis using next generation technology Kuntsman et al. Characterization of the mutational landscape of anaplastic thyroid cancer via whole exome sequencing. Hum Mol Genet 2015 (Yale) Landa et al. Genomic and Transcriptomic Hallmarks of Poorly-Differentiated and Anaplastic Thyroid Cancers. J Clin Invest (In Press) 2016 (MSKCC)

MSKCC vs Yale MSKCC YALE Tumor samples 84 poorly diff 33 anaplastic No poorly diff 22 anaplastic DNA sequencing 341 cancer gene Whole exome DNA sequencing coverage 500 x paraffin 765x frozen tissue 264 x Additional testing Array CGH Expression array None

Mutation burden increase along the spectrum of thyroid progression Median No of mutation in 341 cancer genes: - Papillary carcinoma (TCGA): 1 - Poorly differentiated: 2 - Anaplastic : 6 p<001

Real mutation burden using whole sequencing Anaplastic: Mean: 89 /tumor

Sample Type Age Gender Met site Survival Tumor purity Phenotype Growth PDTC defin. PDTC = 78 Below Median Above p median (26) (24) median(28) value BRAF Age (y) 47±15 58±15 64±15 <0.001 NRAS Tumor size HRAS 4 64% 57% 29% KRAS >4 36% 43% 71% 0.038 NF1 Pathology staging TSHR STK11 T1/T2 17% 15% 4% EIF1AX T3/T4 83% 85% 96% 0.405 PIK3CA PTEN Nx/N0 N1a/N1b 54% 46% 45% 55% 52% 48% 0.822 RET/PTC M0 73% 54% 32% PAX8- M1 8% 29% 57% PPARɣ Mx 19% 17% 11% 0.002 ALK Overall survival 19% 25% 46% 0.07 NUT-BRD4 TERT (died) TP53 Overall survival time 2242±1332 2181±1406 1469±1158 0.05 ATM (days±sd) RB1 Survival analysis: HR:2.03 0.01 NF2 HR (95%CI) (1.19-3.47) MEN1 Log rank 0.014 PI3K/AKT SWI/SNF HMTS MMR Genetic alteration missense truncating Fusion inframe fusion CCDC6-RET NCOA4-RET STRN-ALK EML4-ALK CCDC149-ALK PIK3CA 0 Sample Type Age Gender Survival Met site Tumor purity Phenotype % of tumors mutated Mutation burden and clinicopathological features in PDTC * Log-rank * p= * 0.014 * * * TERT promoter E542K/E545K (helical) H1047R (kinase) E81K K111E C228T (-124) C250T (-146) CC242-243TT Pathway altered

Somatic mutation frequency variable BRAF Reference in the literature Anaplastic No mutated cases/total (%) Poorly differentiated No mutated cases /total (%) Nikiforova et al 2003 3/29 (10.3%) 2/16 (12.5%) Soares et al, 2004 6/17 (35.3 %) 0/19 0 Garcia Rostan et al, 2005 19/69 (27.5%) N/A N/A Santarpia et al, 2008 2/18 (11.1 %) N/A N/A Liu et al, 2008 14/50 (28%) N/A N/A Costa et al, 2008 9/36 (25%) 4/24 (16.7%) Ricarte-Filho et al, 2009 8/18 (44.4%) 4/34 (11.8%) Pita et al, 2014 2/26 (7.7%) 1/22 (4.5%) Kuntsman et al, 2015 6/22 (27.3%) N/A N/A Landa et al, 2016 15/33 (45.5%) 28/84 (33%)

Why variable frequency? Technical difference (MSKCC platform more sensitive than whole exome) Macrophage infiltration in advanced tumor (anaplastic)

Anaplastic carcinomas are heavily infiltrated by macrophages

Number of mutations in 341 genes Sample Type Age Gender Met site Survival Tumor purity Phenotype Growth PDTC defin. BRAF NRAS HRAS KRAS NF1 TSHR STK11 EIF1AX PIK3CA PTEN RET/PTC PAX8- PPARɣ ALK NUT-BRD4 TERT TP53 ATM RB1 NF2 MEN1 PI3K/AKT SWI/SNF HMTS MMR Genetic alteration missense PDTC definition truncating Poorly-differentiated thyroid cancers (PDTC) 81% of BRAF 92% of MSKCC RAS high mitotic rate vs. and necrosis irrespective of growth pattern Fusion inframe fusion CCDC6-RET NCOA4-RET STRN-ALK EML4-ALK CCDC149-ALK PIK3CA 17 15 10 5 0 * 31 15 10 5 Sample Type Age Gender Met site Survival Tumor purity Phenotype % of tumors mutated Turin proposal solid growth * plus high grade features (mitosis * and necrosis) * * * Anaplastic (ATC) TERT promoter E542K/E545K (helical) H1047R (kinase) E81K K111E C228T (-124) C250T (-146) Sample type primary metastasis recurrence Age 20-29 30-39 40-49 50-59 60-69 70-79 80-89 Gender male female Met-site no met lung bone lung+bone other NA Survival alive deceased NA Tumor purity <50% 50-70% >70% NA Hiltzik D, et al. Cancer 2006 Volante M, et al. Am J Surg Pathol 2007 Phenotype papillary follicular tall-cell variant Hurthle mixed/other NA Growth solid papillary mixed/other NA PDTC definition Turin proposal MSKCC NA CC242-243TT Pathway altered

Number of mutations in 341 genes Sample Type Age Gender Met site Survival Tumor purity Phenotype Growth PDTC defin. BRAF NRAS HRAS KRAS NF1 TSHR STK11 EIF1AX PIK3CA PTEN RET/PTC PAX8- PPARɣ ALK NUT-BRD4 TERT TP53 ATM RB1 NF2 MEN1 PI3K/AKT SWI/SNF HMTS MMR Poorly-differentiated thyroid cancers (PDTC) 17 15 10 5 0 * * * 31 15 10 55 Sample Type Age Gender Met site Survival Tumor purity Phenotype % of tumors mutated Anaplastic (ATC) * EIF1AX, a component of the translation initiation * machinery, is mutated in 10% of PDTCs and ATCs PIK3CA and PTEN are frequent events in ATC, specific patterns: PIK3CA-BRAF PTEN-NF1 * TERT promoter C228T (-124) C250T (-146) Sample type primary metastasis recurrence Age 20-29 30-39 40-49 50-59 60-69 70-79 80-89 Gender male female Met-site no met lung bone lung+bone other NA Survival alive deceased NA Tumor purity <50% 50-70% >70% NA Phenotype papillary follicular tall-cell variant Hurthle mixed/other NA Growth solid papillary mixed/other NA PDTC definition Turin proposal MSKCC NA CC242-243TT Pathway altered

EIF1AX: RAS association and prognostic value Papillary thyroid tumors (TCGA) 10% Poorly-differentiated thyroid tumors (MSKCC) 1% Anaplastic thyroid tumors (n=55) [(MSKCC, n=33) + (Kunstman et al, 2015, n=22)] EIF1AX-RAS association 14/15 PDTCs+ATCs 3/3 Cell lines 3/3 ATCs from Kunstman et al Log-rank p= 0.048 OR= 58.3 p < 0.0001

TERT promoter mutations increase in adavanced thyroid cancers and co-occur with RAS and BRAF mutations Papillary thyroid tumors (TCGA) 9% Poorly-differentiated thyroid tumors 40 % TERT promoter: C228T (-124) C250T (-146) C228A (-124) CC242-243TT BRAF/RAS: missense Anaplastic thyroid tumors 73 % TERT-BRAF/RAS association PTC PDTC+ATC OR 3.3 3.4 p-value 0.03 0.004

TERT promoter mutations in thyroid cancers TERT promoter mutations are subclonal events in PTCs, but clonal in PDTCs and ATCs key transitional event in tumor microevolution

P53 and other tumor suppressor genes TP53 ATM Poorly-differentiated thyroid cancers (PDTC) 8% 7% * 73% 9% Anaplastic (ATC) RB1 1% 9% NF2 0% 6% MEN1 1% 3% Poorly differentiated Anaplastic TP53 8% 73% <0.01 ATM 7% 9% ns P

A. B. C. PI3K/AKT/mTOR pathway SWI/SNF complex (Novel) Histone methyltransferases PIK3CA 18% ARID1A 9% KMT2A 9% Anaplastic thyroid cancers Poorly differentiated thyroid cancers PTEN PIK3C2G PIK3CG PIK3C3 PIK3R1 PIK3R2 AKT3 TSC1 TSC2 MTOR PIK3CA PTEN PIK3C2G PIK3CG PIK3C3 PIK3R1 PIK3R2 AKT3 TSC1 TSC2 MTOR 15% 6% 6% 0% 0% 3% 0% 0% 3% 6% 2% 4% 1% 1% 1% 1% 0% 1% 1% 0% 1% E. Anaplastic Poorly-differentiated PDTC ATC ARID1B ARID2 ARID5B SMARCB1 PBRM1 ATRX ARID1A ARID1B ARID2 ARID5B SMARCB1 PBRM1 ATRX PI3K P 9% 3% 3% 6% 6% 6% 1% 4% 1% 0% 0% 1% 0% SWI/SNF HMTs MMR 39% 36% 24% 12% 11% 6% 7% 2% D. Anaplastic Poorly-diff. Anaplastic Poorly-diff. KMT2C KMT2D SETD2 KMT2A KMT2C KMT2D SETD2 3% 15% 3% 4% 2% 1% 0% Mismatch excision repair MSH2 MSH6 MLH1 MSH2 MSH6 MLH1 PATHWAYS: -Enriched in mutations in ATC, PDC vs PTC (1-4%) -Mutations more frequent in ATC vs PDC (p<0.05) 3% 9% 3% 2% 0% 0%

WNT signaling pathway (B catenin, APC, axin1) >60% frequency in anaplastic ca in the literature. MSKCC 2016: 3% of anaplastic Yale 2015: 4.5% of anaplastic ca

Somatic arm-level copy number alterations (CNAs) gain loss Tumor type Genetic driver Tumor purity 22q losses in RAS-mutant PDTCs 20q gains in ATCs B. * * * * * * * *

Somatic CNAs are associated with clinical outcome chr1q gains in PDTC gain diploid Log-rank p= 0.03 chr13q losses in ATC chr20q gains in ATC diploid diploid loss gain Log-rank p= 0.07 Log-rank p= 0.01

Transcriptomic differences in PDTC vs. ATC Principal component analysis separates PDTCs and ATCs based on their global gene expression Tumor type PDTC ATC A signature of genes overexpressed in M2- macrophages (Coates, 2008) is sufficient to discriminate ATCs from PDTCs PDTC ATC 113531T 7207T 112920T 112841T 116236T 116111T 4057T 115473T 122474T 791T 104673T 3396T 115599T 115718T 116621T 109121T 113093T 113694T 15934T 112186T 8866T 121707T 122113T 6580T 105028T 6294T 9209T 11742T 110335T 122964T 114123T 110036T 120517T 117108T 120338T 121457T 117649T

Poorly differentiated carcinomas signal according to their BRAF/RAS mutation whereas anaplastic tend to be BRAF-like (higher MAPK output) regardless of their driver BRAF-RAS score Type PDTC ATC PDTC ATC Driver BRAF V600E - mutant RAS-mutant

Anaplastic are profoundly undifferentiated compared to poorly differentiated carcinoma

Sharp clinico-pathologic demarcations between BRAF and RAS-mutant disease persists in Poorly diff but are largely lost in Anaplastic ca. (genomic complexity of anaplastic) What did we learn? Step wise progression from well diff to poorly diff to anaplastic further confirmed. TERT promoter mutations may identify subset of PTC at risk of progression.

What did we learn? Key genetic events differentiating poorly diff from anaplastic identified (p53, TERT, PIK3CA pathway, novel (SWI/SNF, histone methyltransferase) Copy number alterations distinctive of anaplastic and poorly diff ca Potential prognostic markers within poorly diff (EIF1AX, Mutation burden, 1q gain)

What did we learn? Potential prognostic markers within anaplastic (EIF1AX, 13q loss, 20q gain). Opportunity to explore the biology of novel genetic associations for therapy.

THE END