Update on molecular genetics, diagnosis, staging, sentinel lymph … · 2019. 9. 5. · Hanly 2001...

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Merkel cell carcinoma Update on molecular genetics, diagnosis, staging, sentinel lymph node processing Michael T. Tetzlaff MD, PhD Associate Professor Departments of Pathology (Section of Dermatopathology) and Translational and Molecular Pathology The University of Texas MD Anderson Cancer Center Houston Texas

Transcript of Update on molecular genetics, diagnosis, staging, sentinel lymph … · 2019. 9. 5. · Hanly 2001...

  • Merkel cell carcinoma

    Update on molecular genetics,

    diagnosis, staging, sentinel lymph

    node processing

    Michael T. Tetzlaff MD, PhDAssociate Professor

    Departments of Pathology (Section of Dermatopathology) and Translational and

    Molecular Pathology

    The University of Texas MD Anderson Cancer Center

    Houston Texas

  • Disclosure of Relevant Financial Relationships

    I report no relevant financial relationships.

    I have served on Advisory Boards for Novartis LLC, Myriad Genetics and Seattle Genetics, but

    these are all unrelated to the topics I will present today.

  • Merkel Cell Carcinoma

    • Diagnosing Merkel Cell Carcinoma

    • Histopathologic mimics

    • Immunohistochemical studies that aid in the diagnosis

    • Pitfalls: CK20-negative and combined morphologies

    • Demographics of the disease

    • Who gets Merkel cell carcinoma and why?

    • Molecular genetics of Merkel cell carcinoma

    • Staging Merkel cell carcinoma: Updates to 8th Edition AJCC

    • Prognostic biomarkers in Merkel cell carcinoma

    • Therapeutic advances in Merkel cell carcinoma

    • Biomarkers predictive of response

  • Case 1

    • 52 year old Caucasian woman

    • No past medical history

    • Rapidly enlarging erythematous

    papule

    • Right malar cheek

  • Cam5.2 CK20

  • CHG Synaptophysin

  • CD45 (LCA) TTF-1

  • Case 2

    • 76 year old Caucasian man

    • Rapidly enlarging red-blue papule

    • Left proximal pretibial region

  • CK20Pan-CK

  • CHG Synaptophysin

  • TTF-1NF

  • Diagnosis: MERKEL CELL CARCINOMA

    MERKEL CELL CARCINOMA, ULCERATED

    TUMOR SIZE: 3.1 x 1.75 MM

    TUMOR THICKNESS: 1.75 MM

    MITOTIC COUNT: 39/MM2

    PATTERN OF GROWTH: PUSHING

    LYMPHOCYTIC INFILTRATE: NON-BRISK

    VASCULAR INVASION: PRESENT

    INVASION BEYOND SUBCUTANEOUS TISSUE

    (BONE, MUSCLE, FASCIA, OR CARTILAGE):

    NOT IDENTIFIED

    ASSOCIATED MALIGNANCY: NOT IDENTIFIED

    SURGICAL MARGINS: CARCINOMA PRESENT

    AT DEEP TISSUE EDGE

    MERKEL CELL CARCINOMA

    TUMOR SIZE: AT LEAST 5.8 X 2.9 MM

    TUMOR THICKNESS: AT LEAST 6.0 MM

    MITOTIC COUNT: 25/MM2

    PATTERN OF GROWTH: NOT AVAILABLE

    LYMPHOCYTIC INFILTRATE: NON-BRISK

    VASCULAR INVASION: NOT IDENTIFIED

    INVASION BEYOND SUBCUTANEOUS TISSUE

    (BONE, MUSCLE, FASCIA, OR CARTILAGE):

    NOT AVAILABLE

    ASSOCIATED MALIGNANCY: NOT IDENTIFIED

    SURGICAL MARGINS: CARCINOMA PRESENT

    AT PERIPHERAL AND DEEP TISSUE EDGES.

    Case 1 Case 2

  • Aggressive Epidermal MalignanciesMerkel Cell Carcinoma

    • Diagnosing Merkel Cell Carcinoma

    • Histopathologic mimics

    • Immunohistochemical studies that aid in the diagnosis

    • Pitfalls: CK20-negative and combined morphologies

    • Demographics of the disease

    • Who gets Merkel cell carcinoma and why?

    • Molecular genetics of Merkel cell carcinoma

    • Staging Merkel cell carcinoma: Updates to 8th Edition AJCC

    • Prognostic biomarkers in Merkel cell carcinoma

    • Therapeutic advances in Merkel cell carcinoma

    • Biomarkers predictive of response

  • Pos Total Pos Total Pos Total

    Kervarrec 2018 PMID: 30349028 94 103 10 95 73 97

    Stanoszek 2018 PMID: 30239030 46 55 42 55

    Bobos 2006 PMID: 16625069 13 13 0 13 12 13

    Hanly 2001 PMID: 10728812 20 21 0 21

    Sidropoulos 2011 PMID: 21571955 35 40 1 40

    Cheuk 2001 PMID: 11175640 23 23 0 23

    Moll 1992 PMID: 1371204 15 15

    Schmidt 1998 PMID: 9700371 43 56 25 40

    Llombart 2005 PMID: 15910593 15 20 0 20

    Sur 2007 PMID: 17885674 14 15 0 15

    Ordonez 2000 PMID: 10976695 16 18 0 18

    Leech 2001 PMID: 11533085 10 11 0 11

    Chan 1997 PMID: 9042291 33 34

    McCalmont 2010 PMID: 20642632 80 100 95 100

    Johannson 1990 PMID: 1698390 17 25

    Shah 1993 PMID: 7678934 9 9

    Metz 1998 PMID: 9717649 6 6 4 6

    Yang 2004 PMID: 14984578 19 22 0 22

    Jensen 2000 PMID: 11127923 23 26

    Kurokawa 2003 PMID: 12727026 6 6

    Chu 2000 PMID: 11007036 7 9

    Acebo 2005 PMID: 16164706 9 10 8 8

    Byrd-Gloster 2000 PMID: 10665914 16 21 0 21

    Nicholson 2000 PMID: 10937047 18 27

    Scott and Helm 1999 PMID: 10027519 9 10

    Totals 570 661 11 299 285 353

    Total Percentage

    CK20 TTF-1 NF

    80.73.786.2 NF

    TTF1

    CK20

  • Pos Total Pos Total Pos Total Pos Total Pos Total

    Bobos 2006 PMID: 16625069 4 13 12 13 13 13 10 13 9 13

    Sidropoulos 2011 PMID: 21571955 2 40 29 40 39 40

    Llombart 2005 PMID: 15910593 20 20 19 20

    Sur 2007 PMID: 17885674 4 15 15 15 11 15 13 15 15 15

    Jensen 2000 PMID: 11127923 6 26

    Kurokawa 2003 PMID: 12727026 6 6 5 6 6 6 6 6

    Acebo 2005 PMID: 16164706 5 10 6 8 6 8

    Totals 21 104 33 34 84 102 93 102 30 34

    Total Percentage 20.2 97.1 82.4 91.2 88.2

    CK7 NSE CHG Synaptophysin CD56

    CHG SYN

  • Differential diagnosis of Merkel cell carcinoma

    Diagnosis Morphology IHC

    Basal cell carcinoma • Peripheral palisading

    • Clefting

    • Mucinous tumor

    associated stroma

    • MCPy-T-antigen negative

    • BCC: CK5/6+ and CK20-

    • MCC: CK20+ and CK5/6-

    Melanoma • Pigmented

    • Intraepidermal extension

    common

    • S100+, MART-1+, Sox-10+, HMB-45+,

    MITF+

    • Cytokeratin-

    Lymphoma/Leukemia • Dishesive • Positive for lymphoid markers

    • Negative for cytokeratins

    Metastatic

    neuroendocrine

    carcinoma (SCLC)

    • Overlapping • TTF-1+

    • CK7+ (20% of MCCs also positive)

    • CDX-2+

    • MCPy-T-antigen negative

  • Basal cell carcinoma may mimic Merkel cell carcinoma

  • Stromal retractionPeripheral palisading Mucinous stroma

    MCC may exhibit some morphologic features

    that closely overlap with those of BCC

    Merkel cell carcinoma may show overlapping

    morphology with Basal cell carcinoma

  • BCC

    MCC

    CK20 CK5/6

    Immunohistochemical studies for CK5/6 and CK20

    help to distinguish BCC from MCC

  • Differential diagnosis of MCC: Melanoma

  • S100 CK20

    Mart-1

    Rare examples

    of S100+ in MCC

    2% (3/146)

    Differential diagnosis of MCC: MelanomaImmunohistochemical studies support the distinction

  • Pos Total Pos Total Pos Total

    Kervarrec 2018 PMID: 30349028 mulitple types 4 65 37 63 3 69

    Stanoszek 2018 PMID: 30239030 multiple types 25 61 2 61

    Bobos 2006 PMID: 16625069 SCLC 1 13 11 13 0 13

    Hanly 2001 PMID: 10728812 SCLC 11 33 28 33

    Sidropoulos 2011 PMID: 21571955 SCLC 0 36 27 36

    Cheuk 2001 PMID: 11175640 SCLC 0 52 43 52

    Cheuk 2001 PMID: 11175640 Extrapulmonary NEC 2 50 21 50

    Moll 1992 PMID: 1371204 SCLC 3 15

    Schmidt 1998 PMID: 9700371 SCLC 0 18 0 22

    Ordonez 2000 PMID: 10976695 SCLC 1 28 27 28

    Ordonez 2000 PMID: 10976695 Extrapulmonary NEC 1 36 4 36

    Leech 2001 PMID: 11533085 SCLC 0 20 10 10

    Chan 1997 PMID: 9042291 SCLC 1 37

    Chan 1997 PMID: 9042291 Extrapulmonary NEC 1 52

    Johannson 1990 PMID: 1698390 SCLC 0 58

    Shah 1993 PMID: 7678934 SCLC 0 28

    Shah 1993 PMID: 7678934 Extrapulmonary NEC 0 9

    Metz 1998 PMID: 9717649 SCLC 0 22 0 22

    Yang 2004 PMID: 14984578 SCLC 0 9 9 9

    Chu 2000 PMID: 11007036 SCLC 0 7

    Byrd-Gloster 2000 PMID: 10665914 SCLC 1 36 35 36

    Nicholson 2000 PMID: 10937047 SCLC 0 5

    Scott and Helm 1999 PMID: 10027519 SCLC 0 6

    Totals all cases 51 601 252 366 5 282

    Total Percentage all cases

    Totals SCLC 18 337 190 217 0 143

    Total Percentage SCLC

    Total Extrapulmonary NEC 4 138 25 86 0 9

    Total Percentage Extrapulmonary NEC

    NFTTF-1CK20

    CK20

    2.9 29.1 0.0

    0.087.65.3

    TTF-1 NF

    CK20 TTF-1 NF

    8.5 68.9 1.8

    Pos Total Pos Total Pos Total

    Kervarrec 2018 PMID: 30349028 94 103 10 95 73 97

    Stanoszek 2018 PMID: 30239030 46 55 42 55

    Bobos 2006 PMID: 16625069 13 13 0 13 12 13

    Hanly 2001 PMID: 10728812 20 21 0 21

    Sidropoulos 2011 PMID: 21571955 35 40 1 40

    Cheuk 2001 PMID: 11175640 23 23 0 23

    Moll 1992 PMID: 1371204 15 15

    Schmidt 1998 PMID: 9700371 43 56 25 40

    Llombart 2005 PMID: 15910593 15 20 0 20

    Sur 2007 PMID: 17885674 14 15 0 15

    Ordonez 2000 PMID: 10976695 16 18 0 18

    Leech 2001 PMID: 11533085 10 11 0 11

    Chan 1997 PMID: 9042291 33 34

    McCalmont 2010 PMID: 20642632 80 100 95 100

    Johannson 1990 PMID: 1698390 17 25

    Shah 1993 PMID: 7678934 9 9

    Metz 1998 PMID: 9717649 6 6 4 6

    Yang 2004 PMID: 14984578 19 22 0 22

    Jensen 2000 PMID: 11127923 23 26

    Kurokawa 2003 PMID: 12727026 6 6

    Chu 2000 PMID: 11007036 7 9

    Acebo 2005 PMID: 16164706 9 10 8 8

    Byrd-Gloster 2000 PMID: 10665914 16 21 0 21

    Nicholson 2000 PMID: 10937047 18 27

    Scott and Helm 1999 PMID: 10027519 9 10

    Totals 570 661 11 299 285 353

    Total Percentage

    CK20 TTF-1 NF

    80.73.786.2

    SCLC

    Distinguishing MCC from Small Cell Carcinoma of the LungImmunohistochemical studies for CK20, TTF-1 and NF

    MCC

    CK20CK20

    TTF-1TTF-1

  • Differential diagnosis of MCC: Lymphoma/LeukemiaMCC may (aberrantly) express B-cell markers, TdT and CD56

    • MCC may stain positively for

    hematolymphoid markers:• 70% of MCCs are TdT+

    • 94% of MCCs are Pax-5+

    MCC

    TdT Pax5

    Sur M 2007 8/15 ---

    Sidiropoulos M 2011 28/40 ---Kohle R 2013 21/27 24/27Zur Hausen A 2013 15/21 21/21

    Total72/103

    70%

    45/48

    94%

    CD56 positivity of MCCs is an additional pitfall, as CD56 may also highlight

    NK/T-cell lymphomas and Blastic plasmacytoid dendritic cell neoplasm

  • Aggressive Epidermal MalignanciesMerkel Cell Carcinoma

    • Diagnosing Merkel Cell Carcinoma

    • Histopathologic mimics

    • Immunohistochemical studies that aid in the diagnosis

    • Pitfalls: CK20-negative and combined morphologies

    • Demographics of the disease

    • Who gets Merkel cell carcinoma and why?

    • Molecular genetics of Merkel cell carcinoma

    • Staging Merkel cell carcinoma: Updates to 8th Edition AJCC

    • Prognostic biomarkers in Merkel cell carcinoma

    • Therapeutic advances in Merkel cell carcinoma

    • Biomarkers predictive of response

  • Demographics of Merkel cell carcinoma

    • Risk factors for MCC are advanced age

    and immunosuppression• Elderly

    • Accumulation of mutations from ultraviolet light

    • Organ transplantation, HIV+, CLL

    • Merkel cell polyomavirus (MCPyV)

    • Older Caucasian men

    • Head and neck• 70% of patients >70 years old

    • 62% of patients male

    • 43% of patients head and neck

    Image courtesy of Isaac Brownell MD PhD

  • Merkel cell carcinoma incidence is increasing

    • SEER database study of 6600 cases of

    MCC from 2000-2013 in the United States

    95.2%

    56.5%

    15.5%

    Overall incidence of MCC rising Especially among older patients

    J Am Acad Dermatol. 2018. 78(3):457-463.

  • Most Merkel cell carcinomas are driven by

    polyomavirus infection

    • Merkel cell polyomavirus

    integrated in the genome of

    ~70-80% of MCCs.

  • Detecting Merkel cell carcinoma polyomavirus in tissue?Immunohistochemistry may be the most sensitive and specific

    • MCPyV- vs MCPyV+o Increased PFS

    o Reduced MSS

    • MCPyV status NOT

    independent of stage.

    • CM2B4 IHCo Best sensitivity (88.2%)

    and specificity (94.3%)

  • In comparison to MCPyV-positive MCCs (n=7):

    • MCPyV-negative MCCs (n=8)

    • A significantly higher mutational burden

    • A UV-type mutational signature

    Mutational signature of MCC depends on MCPyV statusMCPyV-negative tumors have high uv-induced mutational burden

  • In comparison to MCPyV-positive MCCs

    (n=12):

    • MCPyV-negative MCCs (n=19)

    • Arise on chronic uv-exposed sites

    • Show a much higher mutational burden

    Mutational signature of MCC depends on MCPyV statusMCPyV-negative tumors have high uv-induced mutational burden

  • Mechanisms of Merkel cell carcinomagenesisCommon pathways abrogated by distinct mechanisms:

    Virus or uv-induced mutations

    Viral inactivation

    of RB and TP53

    related pathways

    Mutational

    inactivation of

    TP53 and RB

    MCPyV

    + MCC

    MCPyT

    MCPyV

    - MCC

    Starett et al. MBio. 2017 Jan 3;8(1). pii: e02079-16.

    Geographic distribution of MCPyV+ MCC often different from MCPyV- MCC.

    MCPyT

  • Aggressive Epidermal MalignanciesMerkel Cell Carcinoma

    • Diagnosing Merkel Cell Carcinoma

    • Histopathologic mimics

    • Immunohistochemical studies that aid in the diagnosis

    • Pitfalls: CK20-negative and combined morphologies

    • Demographics of the disease

    • Who gets Merkel cell carcinoma and why?

    • Molecular genetics of Merkel cell carcinoma

    • Staging Merkel cell carcinoma: Updates to 8th Edition AJCC

    • Prognostic biomarkers in Merkel cell carcinoma

    • Therapeutic advances in Merkel cell carcinoma

    • Biomarkers predictive of response

  • Staging Merkel cell carcinoma:

    Survival associates with stage at presentation

    Cases with follow-up

    and complete staging

    n=9,387

    • Survival directly correlates

    with disease burden• Local disease > Nodal metastases

    > Distant metastases

  • cN0 or pN0

    AJCC 8th Edition clinical staging of Merkel cell carcinomaT-category (based on clinical measurement) has not changed

    • T-category based on clinical measurement• Tumor size (and extent of invasion) define T-category

    • Gross and histologic measurements can be used but subject to underestimation

    T Category T criteria

    TX Primary tumor cannot be identified

    T0 No primary tumor

    T1 Tumor ≤ 2 cm in greatest dimension

    T2 Tumor > 2 cm but ≤ 5 cm in greatest dimension

    T3 Tumor > 5 cm

    T4 Tumor invades fascia, muscle cartilage, or bone

    Cases with follow-up

    and complete staging

    n=9,387

    Increasing tumor

    diameter:

    OS (p=0.003)

    DSS (p=0.008)

    Cancer. 2015. 121: 3252-60.

  • cN0 or pN0

    • T-category based on clinical measurement• Tumor size (and extent of invasion) define T-category

    • Gross and histologic measurements can be used but subject to underestimation

    T Category T criteria

    TX Primary tumor cannot be identified

    T0 No primary tumor

    T1 Tumor ≤ 2 cm in greatest dimension

    T2 Tumor > 2 cm but ≤ 5 cm in greatest dimension

    T3 Tumor > 5 cm

    T4 Tumor invades fascia, muscle cartilage, or bone

    Cases with follow-up

    and complete staging

    n=9,387

    AJCC 8th Edition clinical staging of Merkel cell carcinomaT-category (based on clinical measurement) has not changed

  • Histopathologic features of Merkel cell carcinoma that

    correlate with outcome: What do we report and why?

    Retrospective review of 156

    patients with MCC with median

    follow up 51 months (range: 3-224

    months)

  • • Among patients with lymph node negative

    early stage MCC (Stage I and II)• Pattern of growth (Nodular versus infiltrative)

    • Deepest anatomic compartment of involvement

    • Tumor thickness (< vs ≥ 5 mm)

    • Lymphovascular invasion

    • Tumor infiltrating lymphocytes (absent vs present)

    Histopathologic features of Merkel cell carcinoma that

    correlate with outcome: What do we report and why?

  • AJCC 8th Edition clinical staging of Merkel cell

    carcinoma regional metastasesN-category based on clinical evidence of regional metastases

    Definitive surgical management

    Clinical staging• Clinical measurement of

    primary MCC

    • Clinical assessment of

    metastasis +/- pathologic

    confirmation

    Pathologic staging• Clinical measurement of

    primary MCC

    • Pathologic confirmation

    • Nodal metastases (pN)

    • Distant metastases (pM)

  • N Category Clinical N criteria

    cNX Regional lymph nodes cannot be assessed

    cN0 No evidence of lymph node metastasis

    cN1 Clinically detected regional lymph node metastasis

    cN2 Clinically detected in-transit metastasis without lymph node metastasis

    cN3 Clinically detected in-transit metastasis AND lymph node metastasis

    Based on clinical assessment of metastatic nodal disease

    AJCC 8th Edition clinical staging of Merkel cell

    carcinoma regional metastasesN-category based on clinical evidence of metastases

    Imaging studies are not required for every patient• If thorough history and physical exam do not reveal metastatic disease (N0 M0).

    • If there is clinical suspicion for or evidence of metastatic disease, and radiographic

    studies confirm this, then cN (1, 2, 3) or cM1 (a, b, c)

  • AJCC 8th Edition clinical staging of Merkel cell

    carcinoma regional metastasesN-category based on pathologic evidence of regional metastases

    Definitive surgical management

    Clinical staging• Clinical measurement of

    primary MCC

    • Clinical assessment of

    metastasis +/- pathologic

    confirmation

    Pathologic staging• Clinical measurement of

    primary MCC

    • Pathologic confirmation

    • Nodal metastases (pN)

    • Distant metastases (pM)

  • Based on pathologic evidence of metastatic disease

    N Category Pathologic N criteria

    pNX Regional lymph nodes cannot be assessed

    pN0 No evidence of lymph node metastasis (negative SLNB, etc)

    pN1a (sn) Clinically occult lymph node metastasis on SLN biopsy (NO completion LND)

    pN1a Clinically occult lymph node metastasis on SLN biopsy (WITH completion LND)

    pN1b Clinically detected lymph node metastasis, pathologically confirmed

    pN2 In-transit metastasis without lymph node metastasis

    pN3 In-transit metastasis plus lymph node metastasis

    AJCC 8th Edition clinical staging of Merkel cell

    carcinoma regional metastasesN-category based on pathologic evidence of metastases

  • 8th Edition AJCC staging of Merkel cell carcinomaClinical versus pathologic staging highlights important survival differences

    cN0 only (pNX)

    Patients with clinically evident

    regional MCC metastases have

    worse survival compared to those

    with clinically occult involvement

    of the regional lymph nodes

    Patients presenting with MCC metastases

    to lymph nodes without a known primary

    MCC have better survival compared to

    those with known primary MCC

  • • Approximately 35% of patients with MCC present with regional

    lymph node metastases

    Mol Clin Oncol. 2015. 3(2):299-302.

    The sentinel node is the most common site for

    clinically occult Merkel cell carcinoma metastases

  • • H&E

    • Pan-Cytokeratin IHC

    • Unstained slide

    200mm

    Among patients with negative SLN following examination of initial H&E:

    Approximately 20-30% of patients with lymph node metastases are identified after

    examination of additional tissue levels and IHC for pan-Cytokeratin or CK20

    IHC for PanCK

    or CK20

    • 5/23 SLN+ (22%)

    • 4/10 patients (40%)

    • 10 patients

    • 23 SLNBs

    • All negative on 1st H&E

    The sentinel node is the most common site for

    clinically occult Merkel cell carcinoma metastases

  • • H&E

    • Pan-Cytokeratin IHC

    • Unstained slide

    200mm

    The sentinel node is the most common site for

    clinically occult Merkel cell carcinoma metastases

    Among patients with negative SLN following examination of initial H&E:

    Approximately 20-30% of patients with lymph node metastases are identified after

    examination of additional tissue levels and IHC for pan-Cytokeratin or CK20

  • Sentinel lymph node assessment in MCCPositivity on initial H&E stained tissue sections spans a spectrum of

    disease burden

    • H&E

    • Pan-Cytokeratin IHC

    • Unstained slide

    200mm

  • Sentinel lymph node assessment in MCCImmunohistochemical studies facilitate the detection of clinically

    occult lymph node involvement

    • H&E

    • Pan-Cytokeratin IHC

    • Unstained slide

    200mm

  • Sentinel lymph node assessment in MCCImmunohistochemical studies facilitate the detection of clinically

    occult lymph node involvement

    No minimal size threshold defined for metastatic deposits of Merkel cell

    carcinoma to qualify as positive

    • H&E

    • Pan-Cytokeratin IHC

    • Unstained slide

    200mm

  • Extent of disease burden in lymph node status correlates with survival

    • Clinically evident lymph node positive disease fares worst

    • Pathological node negative disease fares best

    SLN is a critical prognostic tool for patients with MCC:

    Pathologically negative patients fare the best

    59%

    26%

    76%

    42%

  • Prognostic factors in Merkel cell carcinoma: p63

    • n= 47 pts with MCC

    • 25 p63+

    • 22 p63-CK20

    CHG SYN

    p63

    n= 70 pts with MCC

    • 43 p63+

    • 27 p63-

    Assessed for association between

    survival:

    • Age

    • Gender

    • Anatomic site

    • Tumor size

    • Tumor thickness

    • Cell size

    • LVI

    • Mitotic figures

    • TILS

    • Pattern of growth

    • Stage

    • p63

    • p53

    • Ki-67 (MIB1)

    • MCPyV status

    Stage I-II MCC

  • Stage I Stage II Stage III Stage IV

    No significant correlation with p63 status within a given stage

    ?

    • n= 128 pts with MCC

    • 42 p63+

    • 86 p63-

    All patients

    Prognostic factors in Merkel cell carcinoma: p63

  • Prognostic factors in Merkel cell carcinoma: Integrity of the immune system

    • Advanced patient age and male sex associate with worse

    prognosis(Laryngoscope. 2012. 122:1283-90.)

    • Immunosuppression is a risk factor for developing MCC and correlates

    with worse outcome independent of stage.

    • n= 471 pts with MCC

    • n= 430 immunocompetent

    • n= 41 immunosuppressed

    • n=21 CLL/hematologic malignancy

    • n=5 HIV/AIDS

    • n=15 iatrogenic

    • transplant

    • autoimmune

  • Prognostic factors in Merkel cell carcinoma: Tumor associated immune infiltrate correlates with survival

  • Prognostic factors in Merkel cell carcinoma: Composition, density and distribution of the tumor

    associated immune infiltrate correlates with survival

    • n=62 MCCs and IHC CD3, CD8, PD-1, and PD-L1

    • Quantified with Aperio automated image analysis

    • Does the composition, density and/or distribution of

    the associated immune infiltrate associate with

    survival in MCC?

    CD3 IHC CD3-quantified/mm2

  • Prognostic factors in Merkel cell carcinoma: Composition, density and distribution of the tumor

    associated immune infiltrate correlates with survival

    • n=62 MCCs and IHC CD3, CD8, PD-1, and PD-L1

    • Quantified with Aperio automated image analysis

    • Does the composition, density and/or distribution of

    the associated immune infiltrate associate with

    survival in MCC?

    CD3 IHC CD3-quantified/mm2

  • Aggressive Epidermal MalignanciesMerkel Cell Carcinoma

    • Diagnosing Merkel Cell Carcinoma

    • Histopathologic mimics

    • Immunohistochemical studies that aid in the diagnosis

    • Pitfalls: CK20-negative and combined morphologies

    • Demographics of the disease

    • Who gets Merkel cell carcinoma and why?

    • Molecular genetics of Merkel cell carcinoma

    • Staging Merkel cell carcinoma: Updates to 8th Edition AJCC

    • Prognostic biomarkers in Merkel cell carcinoma

    • Therapeutic advances in Merkel cell carcinoma

    • Biomarkers predictive of response

  • Response to anti-PD-1 in Merkel cell carcinoma

    56% objective response rate to PD-1 inhibitor among stage IIIb or IV MCC

    patients who had not received prior systemic therapy—independent of MCPyV

    status or the relative expression of PD-L1.

  • 32% (28/88) patients

    with stage IV MCC who

    failed at least one prior

    systemic therapy

    achieved rapid and

    sustained response to

    PD-L1 inhibitor—

    independent of MCPyV

    status or the relative

    expression of PD-L1.

    FDA approval for MCC

    Response to anti-PD-L1 in Merkel cell carcinoma

  • Response to anti-PD-L1 in Merkel cell carcinoma

  • Response to anti-PD-L1 in Merkel cell carcinomaMultifactorial and includes spatial relationships of the TILS

    Density of PD-1+ cells and PD-L1+ cells

    significantly higher among responders

    versus non-responders

    Proximity of PD-1+ cells to PD-L1+ cells in a tumor

    correlates with response to a-PD-1: Number of PD-1+

    cells ≤ 20mm of PD-L1+ cell higher in R versus NR

    Greater engagement of PD-1 with PD-L1 implies a greater likelihood that

    inhibiting this interaction will exert a positive clinical effect.

  • Merkel cell carcinoma

    • MCC is among the most aggressive forms of skin cancer• Risk factors are age, uv-exposure and immunosuppression

    • MCC responds to immune checkpoint blockade• Thus far, independent of PD-L1 or MCPyV status

    • Important parameters of the primary lesion• Size, extent of involvement of underlying structures

    • Staging according to TNM criteria

    • Depth, lymphocytic infiltrate, LVI, pattern of growth

    • MCC is related to infection by Merkel cell polyoma virus• MCPyV-positive MCC lacks high mutational load

    • Viral T-antigens impact on Rb and TP53-dependent processes

    • MCPyV-negative MCC enriched for UV-mutations (in particular TP53 and RB)

    • Prognostic biomarkers include:• Immune

    • p63 expression by tumor cells

  • THANK YOU…..Department of Pathology, Section of

    Dermatopathology, MDACC

    • Victor G. Prieto, MD, PhD

    • Carlos A. Torres-Cabala, MD

    • Jonathan L Curry, MD

    • Priyadharsini Nagarajan, MD, PhD

    • Phyu Aung, MD, PhD

    • Doina Ivan, MD

    Steven Billings, MD

    Isaac Brownell MD PhD

    Paul Harms, MD PhD

    Axel zur Hausen, MD, PhD

    Jürgen Becker MD, PhD

  • • Described 5 cases of “trabecular carcinoma” of the skin

    • Tumors consisted of ‘irregular, angular, anastomosing

    trabeculae’ infiltrating among dermal collagen as cords

    • Cells with oval, vesicular nuclei and indiscernible

    cytoplasm

  • CK20

  • AJCC 7th Edition for Merkel cell carcinoma:Clinical and pathologic nodal status were considered together

    *

    *

    *

    *

    With increasing application of sentinel lymph node biopsy (SLNB), this

    system created a selection bias for stage IB and IIB (cN0 patients) to consist

    of patients in whom SLNB was not performed due to underlying

    comorbidities, and unclear if these comorbidities contribute to their survival.

  • Definitive surgical management

    Clinical staging• Clinical measurement of

    primary MCC

    • Clinical assessment of

    metastatic disease (+/-

    pathologic confirmation)

    Pathologic staging• Clinical measurement of

    primary MCC

    • Pathologic confirmation

    • Nodal metastases (pN)

    • Distant metastases (pM)

    AJCC 8th edition more accurately distinguishes the prognostic

    significance of the extent of nodal disease burden with less

    emphasis on the extent of nodal evaluation.

    AJCC 8th Edition for Merkel cell carcinoma:Clinical and pathologic nodal status considered separately

    Cases with follow-up

    and complete staging

    n=9,387

  • T1 (63%)

    T2/3 (53%)

    T4 (35%)

    cN0 only

    T1 (45%)

    T2/3 (31%)

    T4 (27%)

    8th Edition AJCC establishes a more sensitive system for prognostication of

    survival among pathologically node negative patients that is distinct from

    clinically node negative patients.

    8th Edition AJCC staging of Merkel cell carcinomaClinical versus pathologic node negative patient survival according to T-category

    This underscores the importance of the sentinel lymph node.

  • 721

    patients

    736 SLNBs

    218 SLN+

    (29.6%)

    518 SLN-

    (70.4%)

    • Regional nodal relapse not

    significantly different between

    SLNB+ (11.2%) and SLNB- (8.7%)

    patients

    • Distant relapse far more frequent

    among SLNB+ (17.6%) compared

    to SLNB- (7.3%) patients

    (p

  • MCC occasionally shows divergent differentiationThese tumors are not associated with MCPy-virus infection

    • 44 cases of MCC combined with SCC:

    • 0/44 MCPyV-negative

  • CK20

  • MCC occasionally shows divergent differentiationThese tumors are not associated with MCPy-virus infection

    • 44 cases of MCC combined with SCC:

    • 0/44 MCPyV-negative