fna cytology of metastatic malignancies of unknown primary ...€¦ · squamous carcinoma 10% large...
TRANSCRIPT
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FNA Cytology of Metastatic
Malignancies of Unknown Primary Site
Tarik M. Elsheikh
Cleveland Clinic
Jan F. Silverman
Alleghany Hospitals
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Pathologic Diagnosis of Metastasis
• Smaller specimens, less invasive techniques
• FNA cytology is highly accurate
• Determine primary site
– No previous history of malignancy
– Prior pathology not available
– Unpredictable pattern of metastasis
• Accurate Dx modify patient management
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Metastatic Malignancies of
Unknown Primary Site (MUP)
• 8th most common malignancy
• 5-10% of all non-cutaneous malignancies
• Up to 15% of new referrals to hospital based
oncology centers
• Standard panel of multi-agent chemotherapy
• Poor prognosis. Median survival 4-12 mo.
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Metastases of Unknown Primary Site
Definition: Bx confirmed. 1º site not found
after rigorous, but limited initial clinical
and radiographic evaluation
–careful Hx, physical exam, lab, x-rays,
etc..
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Is Workup of MUP Necessary?
• Optimal management may be organ-
specific, and rely on accurate determination
of primary site
• Inability to ID a primary major clinical
challenge
– Patient anxiety:
• ? Inadequate evaluation by physician
• ? Prognosis improved if primary is found
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Cost Effectiveness of Pathologic Workup
• Extensive radiological exams & serum tumor markers –
often unsuccessful in finding 1º site
• Pathologic evaluation (including extended IHC panel) is
more cost effective than clinical workup
Cost per
patient
Success
rate
Theoretical cost-
effectiveness ratio
Clinical tests
alone
$ 18,000 * 20 % $ 250,000
IHC panel** $ 2,000 70 % $ 2,900
* excluding physician charges
** panel of 6 tests
Wick et al 1999
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Cost Effectiveness of Pathologic Workup 2
• Overutilization occurs in individual cases or
by individual pathologists
– Too many Ab’s in 30% of cases
– Unnecessary IHC in 10% of cases
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FNA Diagnosis of MUP
A Clinico-pathologic approach
1. Cytomorphologic features
2. Ancillary studies: IHC
3. Clinical patterns of metastases
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FNA Diagnosis of MUP 2
A Clinico-pathologic approach
1. Cytomorphologic features
• Histologic types (specific cell lineage):
adenoca, squamous ca, melanoma, etc.
• Morphologic patterns (non-specific cell
lineage): small cell, large cell, oncocytic,
spindle, etc.
2. Ancillary studies: IHC
3. Clinical patterns of metastases
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CYTOMORPHOLOGIC PATTERNS OF MUP
Specific Cell Lineage Cell Pattern / Type
Squamous CA
Sarcoma
Melanoma
Adenocarcinoma
Lymphoma
Small Cell
Oncocytic/Granular
Clear Cell
Pleomorphic/Giant Cell
Spindle cell
Polygonal, Large Cell
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Case 1
• CT guided FNA biopsy of a kidney mass
in a 68 year old woman.
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Diagnosis: Metastatic adenocarcinoma. A lung primary was
subsequently found
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Adenocarcinoma
• Most common MUP (60%)
• W-M differentiated adenocarcinoma
median survival 3-6 months
• Lung & pancreas: most common (40%)
– GI tract
– Liver
• Nonspecific diagnosis 1º vs. MET
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Pancreas
Bile ductColon
Lung(BAC)
BreastCarcinoid
Low grade
COLON
EndometrioidCA
Hyperchromatic
Lung
PancreasProstate
Bile duct
Stomach
Hypochromatic
High grade
Columnar/ductal
Prostate
NECThyroid
Granulosa CT
Microacinar
Breast
OvaryPancreas
GIT
Chordoma
Mucinous
Thyroid
OvaryKidney
Endometrium
BreastLung
Papillary
Adenocarcinoma
Morphologic Patterns of
Differentiated Adenocarcinoma (W-M)
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Adenocarcinoma
Low grade
Hyperchromatic Hypochromatic
High grade
Columnar/ductal
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Adenocarcinoma: Low Grade Columnar/ductal
• Cohesive clusters and geographic flat sheets
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Low Grade Columnar/Ductal
• Uniform cell population-bland appearance, luminal borders
• Round to elongated nuclei, lower N/C ratio
• Finely granular chromatin, small nucleoli
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Low Grade Columnar/Ductal
Adenocarcinoma
– Pancreas
– Breast
– Bile duct
– Lung (BAC)
– Colon
– Carcinoid Cholangiocarcinoma
Carcinoid
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High Grade Columnar/Ductal
Adenocarcinoma
• Cohesive clusters and flat sheets
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High Grade Columnar/Ductal Adenocarcinoma
• Nuclear overlapping, haphazard arrangement, significant pleomorphism.
• Acinar formation may bee seen.
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Adenocarcinoma
Low grade
Hyperchromatic Hypochromatic
High grade
Columnar/ductal
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High Grade Columnar/Ductal
Adenocarcinoma
• Hypochromatic
• Lung
• Pancreas
• Bile duct
• Prostate
• Stomach
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High Grade Columnar/Ductal
Adenocarcinoma
• Hyperchromatic
– COLON
– Endometrioid
CA (endometrium,
ovary, cervix)
– Bile duct
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• Columnar/ductal, high grade
Columnar/ductal
Low grade High grade
Hyperchromatic Hypochromatic
LUNG
PANCREAS
Prostate
Bile duct
Stomach
COLON
Endometrioid
FNA of vertebral body
Metastatic lung CA to bone
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Metastatic pancreatic CA to liver
Columnar/ductal
Low grade High grade
Hyperchromatic Hypochromatic
LUNG
PANCREAS
Prostate
Bile duct
Stomach
COLON
Endometrioid
FNA of liver
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•High grade, columnar/ductal
Columnar/ductal
Low grade High grade
Hyperchromatic Hypochromatic
LUNG
PANCREAS
Prostate
Bile duct
Stomach
COLON
Endometrioid ca
bile duct
Metastatic colon CA to liver
FNA of liver
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CYTOMORPHOLOGIC PATTERNS OF
METASTASIS OF UNKNOWN PRIMARY ORGIN
Specific Cell Lineage Cell Pattern / Type
Squamous CA
Sarcoma
Melanoma
Adenocarcinoma
Lymphoma
Small Cell
Oncocytic/Granular
Clear Cell
Pleomorphic/Giant Cell
Spindle cell
Polygonal, Large Cell
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CARCINOMA
• Adenocarcinoma (60%)
• Squamous cell carcinoma (10%)
• Undifferentiated CA/P.D.
• Small cell/NE carcinoma
• Melanoma
Modified from DeMay p493-530
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Squamous Cell Carcinoma
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MELANOMA
• Metastasis to unusual sites
• Mimics other malignancies
• Primary occult or not apparent by
history
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Melan - A
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Malignant Melanoma Variants
• Rhabdoid
• Signet-ring
• Spindle
• Myxoid
• Desmoplastic
• Ballon Cell
• Small Cell
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Signet-Ring Melanoma Ballon Cell
Spindle Cell Small Cell MM
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Rhabdoid MM
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Pigmented dendritic histiocytes
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SARCOMA
• Very unusual unknown primary
• Primary site usually obvious
• Diff Dx: Sarcomatoid carcinoma /
melanoma
• Spindle, epitheliod, pleomorphic,
small cell, myxoid
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An 81 year old woman was identified as
having a right hilar lung mass. FNA
biopsy was performed.
Case 2
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Case 2
DIAGNOSIS
Metastatic Hurthle cell carcinoma
of the thyroid
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A CT guided FNA biopsy of a single
mass involving the anterior right lobe of
liver was performed in a 72 year old
female
Case 3
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Case 3
DIAGNOSIS
Metastatic small cell variant of
malignant melanoma to the liver
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53 year old male presented with a 6
cm sacral mass and pain in his legs. A
FNA biopsy was performed
Case 4
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CAM 5.2 Vimentin
CD 10
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Case 4
DIAGNOSIS
Metastatic conventional clear cell
carcinoma of the kidney
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CYTOMORPHOLOGIC PATTERNS OF
METASTASIS OF UNKNOWN PRIMARY ORGIN
Cell Pattern / Type
Small Cell
Oncocytic/Granular
Clear Cell
Pleomorphic/Giant Cell
Spindle cell
Polygonal, Large Cell
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Small Cell Tumors
Neuroendocrine
tumors
Poorly
differentiated
carcinomas
Lymphomas
Carcinoids / Islet
cell tumors, etc.
Squamous cell
carcinoma
(Basaloid SCC)
Small blue cell
tumors of
childhood
Small cell
(neuroendocrine)
carcinoma
Adenocarcinoma
Some sarcomas
(synovial)
Melanoma
variant
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Small Cell CA Merkel Cell
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Lymphoma
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Basaloid Squamous Cell
CK7/20 -;P63, CK5/6 and K903 +
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Pleomorphic / Giant Cells
• Neuroendocrine tumors
Pheochromocytoma
• Sarcomas
i.e., Malignant fibrous histiocytoma, etc.
• Germ cell tumors
Choriocarcinoma
• Carcinomas
Lung, Pancreas, Liver, Thyroid, etc.
• Lymphoreticular neoplasms
Anaplastic large cell lymphoma (Ki-1)
• Melanoma
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Pleomorphic Large Cell Lung Pancreas - Pleomorphic Giant
Cell CA
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Spindle Cells
• Neuroendocrine tumors
Paraganglioma
• Sarcomas
Fibrosarcoma
• Sarcomatoid Carcinomas
Renal Cell CA; Spindle Squamous CA
• Pseudosarcomas
Nodular fasciitis, fibromatosis, repair, etc.
• Melanoma
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Sarcomatoid Squamous Cell CA
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Melanoma
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Sarcomatoid Renal Cell
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Leiomyosarcoma MFH
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Granular Cell Neoplasms
• Soft Tissue Tumors - Granular Cell Tumor
Others: Muscle, Alveolar Soft Parts Sarcoma
• Carcinomas (Adenomas)
Kidney, Liver, Salivary Gland, Glassy Cell (cervix)
• Oncocytic / Hurthle Neoplasms
Kidney, Thyroid, etc.
• Apocrine - Breast, Sweat Gland
• Neuroendocrine Tumors - Carcinoid, Paraganglioma
• Melanoma
• Hilar / Leydig Cell Tumor
DDX: Nonspecific degeneration Modified from DeMay
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Hurthle Cell CA Renal Cell CA
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Islet Cell Tumor
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Oncocytic Neuroendocrine Warthin’s
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Clear cell Tumors
• Oncocytic neoplasms
• Acinic / Acinar Tumors
• Neuroendocrine Tumors (i.e., paragaglioma)
• Soft Tissue Tumors (i.e., clear cell sarcoma)
• Lymphoma - very rare
• Germ Cell Tumors
• Melanoma (ballon cells)
• Carcinomas
KIDNEY, also Ovary, Liver, Adrenal, Salivary Gland,
lung GYN, Thyroid
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Clear Cell - Kidney Yolk-Sac CA
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Paraganglioma
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Intranuclear Cytoplasmic Inclusions
• Thyroid
Papillary CA, others
• Lung
Bronchioloalveolar CA
• Liver
Favors HCC
• Melanoma
• Many others
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Melanoma Thyroid
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Microacinar Complexes
• Prostate
• Thyroid
• Carcinoid / Islet (Rosettes)
• Others - Granulosa cell tumor, other
SRCT of childhood
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Thyroid - Follicular CA Carcinoid
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Prostrate CA
PSA +
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Hyaline Globules
• Carcinoma (Rhabdoid)
Wide variety, often PD malignancies
• Sarcomas
• Lymphoma
• Melanoma (Rhabdoid)
• Hepatocellular, renal, ovary
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Melanoma
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Pleomorphic Giant Cell - Pancreas
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Single Cell
Adeno CA
BREAST
Pancreas
Stomach
Prostate
Other Tumors
Small Cell CA
Mesothelioma
Carcinoids
Melanoma
Hematopoeitic
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Small Cell CA Merkel
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Neuroblastoma
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Non-Hodgkin Lymphoma
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Gastric CA
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Adrenal Cortex
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Papillary Neoplasms
• Ovary
• GI Tract, Pancreas
• Lung (Bronchioloalveolar)
• Thyroid
• Renal
• Others
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Papillary RC
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Papillary TC
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Plasmacytoid Cells
• Plasma Cells
• Carcinoid / Islet
• Melanoma
• Breast CA
• Pleomorphic adenoma
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Multiple Myeloma
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Multiple Myeloma Breast CA
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Colloid (Mucinous) Neoplasms
• Colloid Carcinomas
GI tract, Breast, Ovary, Pancreas
• Pseudomyxoma peritonei (appendix)
• Myxoid sarcomas
• Melanoma (Rare)
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Colon - Colloid CA
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Mucin Positivity excludes:
• LYMPHOMA / LEUKEMIA
• SARCOMA (except chordoma)
• MELANOMA
Modified from DeMay
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72 year old male presented with a
single lung mass. FNA biopsy was
performed
Case 5
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CK 20
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Case 5
DIAGNOSIS
Metastatic colon cancer to the
lung
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Which Cytokeratin to use?
Complex keratin (K903, 34BE12) - Basal cell
and squamous cell
CK 5/6 - Squamous cell, mesothelium,
urothelium
CK 7/20 - Adeno CA of unknown primary
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IHC MARKERS FOR INTESTINAL CA
• CK 7/20
• Villin - Colorectal, pancreas. Occasionally in
non - GI i.e. endometrial, RCC (brush border
staining)
• CDX2 - Intestinal tumors, also bladder adeno,
ovarian mucinous
Strong uniform CDX-2 +/with or without villin
- favors colorectal
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Organ-specific and Organ-associated
Markers
Antibodies to: Identifying: Also identifies:
Prostatic specific antigen (PSA)
Prostatic acid phosphatase (PAP)
Gross cystic disease fluid protein -15
Thyroglobulin
Thyroid transcription factor-1 (TTF-1)
Uroplakin
Inhibin
Hep PAR-1
LCA, B&T
Prostrate Carcinoma
Prostrate Carcinoma
Breast Carcinoma
Thyroid carcinoma
Thyroid and Lung carcinomas
Urothelial carcinomas
Adrenal
Liver
Lymphoid
-----
Neuroendocrine carcinomas
Salivary gland, sweat gland tumors
-----
Rare other carcinomas
-----
Sex cord / stromal, granular cell
Modified from Pathol case Review 4(6), p254, 1999
Pathol case Review 4(6), p150, 2001
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Prostrate CA
PSA +
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IMMUNOHISTOCHEMICAL DETECTION OF
TTF-1 IN LUNG TUMORS
Adenocarcinoma 72.5%
Squamous carcinoma 10%
Large cell carcinoma 25.8%
Large cell neuoendocrine carcinoma 75.0%
Typical carcinoid 30.5%
Atypical carcinoid 100%
Small cell carcinoma 94.1%
Alveolar adenoma 100%
Ordonez, N., Adv Anat Path 7:124, 2000
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TTF-1 + / Adeno CA TTF-1 + / Small Cell CA
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NUCLEAR TRANSCRIPTION
FACTOR ANTIBODIES
• MyoD1 and Myogenin - Skeletal Muscle
• TTF-1 - Lung and Thyroid
• CDX2 – Intestinal
• Microphthalmia transcription factor (MITF)
- Melanoma
• WT1- Serous CA, Mesothelial
• Pax8/Pax2- Mullerian, Thyroid, Renal
• GATA-3- Breast, Urothelial
Advantages - All or none positive; no false positive,
cytoplasmic positive due to biotin, etc.; not related to
differentiation
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Hormone Receptor Expressions in
Carcinomas
ER and/or PR Positive
Carcinomas (Subset)
Breast, Ovarian, Endometrial
Cervical
Skin sweat gland
Thyroid
Neuroendocrine
(e.g., carcinoid
Lung non-small cell (antibody
dependent)
Colorectal
Hepatocellular
Pathol Case Review 4(6), p254, 1999
ER and/or PR Negative
Carcinomas
ER = estrogen receptors; PR = progesterone receptors
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Breast CA / ER +
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IHC Panel for the Workup of METS
X known Primary
• Cytokeratins: CAM 5.2, CK7, CK20, PAN CK, AE1/3,
CK 5/6
• EMA, CEA
• S-100, HMB-45, etc.
• LCA, etc.
• Specific-PSA, Thyroglobulin, TTF-1, GCDFP-15,
inhibin, Hep par 1, CDX-2
• NE markers-NSE, Synatophysin, CD56,
Chromogranin, MAP-2, etc.
• Germ Cell-CK, PLAP, Oct 3/4, CD30, C-kit
• Hormonal (ER/PR)
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IHC WORKUP OF UNDIFFERENTIATED/POORLY
DIFFERENTIATED MALIGNANCY
AE-1/3 CD – 45 S-100 PLAP Additional
markers
Carcinoma + - +
-
- Differential
keratins,
EMA
Melanoma - - + - HMB 45,
Melan A
Lymphoma - + - - CD 20, CD
3, CD 30
etc
Germ cell
tumor
-
+
- - + EMA,
OCT-4,
CD-30
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Clinical Patterns of Metastasis
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FNA Workup of MUP
A Clinico-pathologic approach
1. Cytomorphologic features
2. Ancillary studies: IHC
3. Clinical patterns of metastases
• Common metastatic sites
• Uncommon metastatic sites
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Metastatic Malignancies
• Determination of primary site is facilitated
by familiarity with cytologic features of the
malignancy and selected use of ICC
• Still, a primary site may not be determined
because of non-specific cytologic & IHC
features, or an atypical pattern of
dissemination
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Patterns of Metastases
• Usual patterns of METS to common sites : lung,
lymph nodes, liver
• Cancer may occasionally metastasize to unusual
sites: breast, spleen, pancreas
• This unpredictable pattern of METS may pose
diagnostic problems for clinicians and
pathologists misdiagnosis as a primary
neoplasm
• Familiarity with variable patterns of metastasis
a more specific diagnosis
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Initial Sites of Metastasis
• Parallel natural drainage pathways of primary malignancy, i.e. related to anatomic location of tumor
• Lymphatic: regional lymph nodes
– head & neck cancers, cervix, melanoma
• Vascular: venous pathways
– head & neck, bone, kidney cancers lung
– pancreas, stomach, colon liver
– prostate axial skeleton via paravertebral veins
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Common Sites of Metastasis
• Most common sites of metastasis: – Lymph nodes
– lung
– large bones
– liver
• Most common primary sources of MUP: – Lung
– Pancreas
– Colon
– Liver
– stomach
Reyes 1998, FNA of 116 MUP
• Most common sites of metastasis – Lymph nodes
– liver
• Most common primary sources – Lung
– Prostate
– Kidney
– colon
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Lymph Nodes
• Most common site for metastasis
• Diagnostic accuracy for metastatic
carcinoma is 82-99%
• Knowledge of exact location of involved
lymph node is of prime importance
• Nasopharynx > hypopharynx > base of
tongue cervical spinal region
• Anterior part of oral cavity and lips
submandibular
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• Metastatic basaloid squamous cell carcinoma to upper cervical lymph node
• Hypopharyngeal primary was found
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Lymph Node Metastasis
Lymph nodes Common/Probable primary
site or malignancy
Cervical Head and neck, lung,
melanoma, breast
Rt supraclavicular Lung, breast, lymphoma
Left supraclavicular Lung, breast, cervix, prostate,
lymphoma
Axillary Breast, lung, arm, regional
trunk, GI tract
Inguinal Melanoma, trunk, leg, vulva,
prostate, anorectal, bladder
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FNA left upper cervical lymph node, 51 year old man. No previous HX of malignancy
Case study
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Squamous
CA
Small Cell
CA
CK5/6 + _
P63 + _
TTF1 _ +
Synaptophysin,
CD 56 _ ±
TTF1 CK5/6
P63
Squamous CA arising in left Tonsil
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Supraclavicular Lymph Nodes
• Primary sites involving left SCLN (Virchow’s Node) are different from those involving right SCLN
• Cervin et al 1995, FNA of 96 SCLN
– 16/19 Pelvic & 6/6 Abdominal malignancies LSCLN
– Thorax, breast, head/neck no difference in metastatic pattern to LSCLN or RSCLN
– Most common primaries: lung/breast > pelvis/testis > abdomen
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Case 7. FNA biopsy of Lt supraclavicular LN.
The patient is a 65 year old man with a remote
history of malignancy
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Diagnosis: Metastatic urothelial carcinoma. The
patient had a previous history of bladder CA
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Mimickers in Lymph Node Mets
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• PD carcinoma may mimic lymphoma
• Diff Dx: large cell lymphoma, neuroendocrine CA, melanoma
Dx: Metastatic large cell CA, lung 1º, involving
cervical lymph node
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• Lymphoma may mimic carcinoma
DX: Anaplastic large cell lymphoma (Ki-1),
involving RSCLN
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Lung Metastases
• Breast, GIT- common
• Any malignancy lung
• Multiple nodules, most
commonly
– Miliary:
• Melanoma, kidney,
ovary, thyroid
medullary CA
– Cannon ball:
• Sarcoma, kidney,
melanoma,
colorectal CA
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Lung Metastases (cont.)
• Diffuse infiltrate or solitary coin lesion
(more problematic) rule out primary
lung carcinoma
• Diffuse (6-8 % of pulmonary mets):
– Lung, breast, GI tract, pancreas
• Solitary MET (3-9 % of all solitary
pulmonary nodules):
– Melanoma, breast, colon, kidney, sarcoma,
non-seminomatous GCT
• FNA sensitivity =89%, specificity =96%
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Multiple lung nodules in 49 yr old woman. No previous malig.
DX: Metastatic adeno CA c/w colon 1°
CDX2
CK20
•CK7-, CK20+
•CDX2+, TTF1-
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Multiple lung nodules, 76 y M, no previous hx of malignancy
- 5-10% of PD prostate CA are PSA- or PAP- (best use both)
- PSMA and P501S = can pick up some PSA-/PAP- cancers
- NKX3.1 (nuclear stain) = 99% sensitivity
PSA
PAP
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FNA right solitary lung mass in a 91 year old woman. Hx
of breast ca x 10 years.
Previous breast cancer
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Metastatic malignant melanoma. Primary site not found.
Melan A S 100
Cytokeratin
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Lung
53 year old male presented with a solitary 3 cm lung
mass. Patient also had an indistinct kindey mass
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• FNA of right lower lobe lung masses may
inadvertently sample benign liver tissue
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Unusual Sites of Metastasis
• Include breast, thyroid, pancreas, kidney,
small bones, eye, spleen
• Uncommonly encountered
• May pose diagnostic difficulties and lead
to confusion with primary neoplasms
arising in those sites
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Mechanisms of Metastasis to
Unusual Sites
• Initial sites of metastasis lymph nodes or
venous (lung, liver)
• Subsequent (2°) widespread dissemination
from initial metastatic site via arterial system
brain, endocrine glands, small bones, spleen
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Pancreas
• Metastasis may be radiographically and
clinically indistinguishable from a primary
neoplasm
• Lung, breast & kidney are most common
• Stomach, intestine, biliary tract Direct
extension
• Benning 1992: 19 metastases that mimicked
primary pancreatic carcinoma
– 11% of all malignant pancreatic FNA
– cytology foreign to pancreas is a helpful clue
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Pancreas
• Small cell carcinoma is usually metastatic
• Metastatic adenocarcinoma is difficult to distinguish from primary pancreatic ca
66 YO woman presented with obstructive jaundice. Subsequent
therapy shrinked the tumor and improved the jaundice
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METS to Thyroid
• Unusual site of involvement in clinical
practice; although autopsy series report 2-
26% of patients with malignancy
• Solitary mass or multiple small nodules
• Direct extension – head & neck squamous
cell CA, adenoid cystic CA
• Kidney > colon, lung, breast > melanoma
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METS to Thyroid (2)
• Alien cytology
• Differential diagnosis (mimickers):
– Renal CC, clear cell type vs. thyroid CA with clear cells
– RCC, granular type vs. Hurthle cell neoplasm
• RCA, TTF-1, thyroglobulin
– Plasmacytoma + amyloid vs. Medullary CA
(EMA, kappa/lambda, Calcitonin, CEA)
• Dx of metastasis may prevent inappropriate thyroidectomy
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FNA right thyroid nodule,
76 year old female.
Patient had previous Hx
of malignancy X 15 yrs
•Diagnosis: Metastatic
Renal cell CA
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Gene Expression Profiling
1. Theros CancerType ID®
2. ResponseDX: Tissue of Origin Test®
3. Agendia cupPrint assay
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- microassay data base of
22,000 genes from
primary and met tumors
- Genetic algorithm to
search for combination
optimal for multi-tumor
classification.
- 92 gene/ RT-PCR assay
- 39 tumor types
- FFPT, CNB, FNA
- Agreement/accuracy 84%
Theros CancerType ID® (AviaraDx)
AviaraDx, Inc. 11025 Roselle Street, Suite #200
San Diego, CA 92121 Tel: 877-886-6739
Sample Test Report
Patient & Order Information Order ID: 060608001 Your Doctor Patient Name: Any Patient Any Hospital DOB: 01/01/1930 Sex: Male 1234 ABC Street Medical Record #: 123456 Site of Biopsy: Liver Any Town, USA Sample ID: S08-XXXX Date of Collection: 5/23/08 Phone: 123-456-7890 Date Received: 6/6/08 Date Reported: 6/12/08 FAX: 123-456-7890
Aviara CancerTYPE ID® Molecular Cancer Classification Test
Prediction: Pancreas Similarity Score = 0.46 P value = 2.9 x 10-14
Additional Test Information
The test sample demonstrates statistically significant similarities to pancreas, stomach-adeno, gallbladder, and intestine (p < 0.05). Enrichment analysis strongly suggests pancreas. How it works. The test sample is compared to each cancer type, and a similarity score and its statistical significance (p value) are calculated. The score ranges from -1 to +1, with +1 indicating maximal similarity. If two or more significant cancer types are found, a further enrichment analysis is performed. This helps identify the most likely cancer type. Should this step be necessary, a second graph will appear on the report.
Intended Use
Aviara CancerTYPE ID® is a molecular test that is recommended to guide the process of cancer classification.
Test Description and Methodology
This test identif ies the most l ikely tumor origin based on the expression profi les of 92 genes analyzed by RT-PCR and is capable of classifying up to 39 tumor classes. The 92-gene expression profile is obtained by extracting mRNA from tumor-enriched sections of formalin-fixed paraffin embedded (FFPE) tissue and performing real-time quantitative RT-PCR using Taqman™ technology. This RT-PCR based test has been shown to have a success rate of 86% in classifying 39 cancer types[1,2]
1. Ma et al. Molecular Classification of Human Cancers Using a 92-Gene Real-Time Quantitative Polymerase Chain Reaction Assay. Archives of Pathology and Laboratory Medicine. 2006;130:465-473
2. Data on File, Technical Report 063008, AviaraDx.
Laboratory Director: Bernard S. Chang, M.D. CLIA# 05-D1065725
CA# CLF334843
Leiomyosarcoma Brain
Lung-small Breast
Soft-tissue-MFH Lung-adeno-large-cell
Soft-tissue-Sarcoma-synovial Ovary-clear
UrinaryBladder Ovary-serous
Skin-melanoma Endometrium
Osteosarcoma GIST
Thyroid-follicular-papillary Thyroid-medullary Cervix-squamous
Skin-squamous Prostate
Cervix-adeno Mesothelioma
Testis-other Soft-tissue-Liposarcoma
Germ-cell-ovary Carcinoid-intestine Testis-Seminoma
Lung-squamous Skin-basal-cell Lymphoma-B
Meningioma Kidney
Adrenal Lymphoma-Hodgkins
Lymphoma-T Liver
0.0 0.1 0.2 0.3 0.4 0.5 0.6
* P value between 0.01 and 0.05** P value between 0.0001 and 0.01*** P value < 0.0001
Similarity Scores
*** Intestine* GallBladder
*** Stomach-adeno*** Pancreas
GallBladder
Intestine
Stomach-adeno
*** Pancreas
0.0 0.2 0.4 0.6
Enrichment Analysis
This test was developed and its performance characteristics determined by AviaraDx, Inc. It has not been cleared or approved by the U.S. Food and Drug Administration. The FDA has determined that such clearance is not necessary. Prognostic and predictive testing should be interpreted in the context of additional clinical and/or histopathological findings. This test is used for clinical purposes. It should not be regarded as investigational or for research. How this information is used to guide patient care is the responsibility of the physician. ©AviaraDx 2008 AVDX0148 Jun 08
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- O/N microarray measure expression pattern >1500 met genes
- Compares expression to 15 known tumor tissue sites (>90%
of mets)
- Frozen tissue/FFPT, No CNB or FNA
- Accuracy 89%, spec 99%
ResponseDX:
Tissue of
Origin Test®
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Agendia CupPrint® assay
• Marketed predominately in Europe
• Profiles 495 genes in custom oligonucleotide microarray
• 43 different tumor classes
• Uses FFPE tissue, CNB, FNA; accuracy is 88%
• Excellent in breast & colon; poor in lung, pancreas, stomach
Oien 2008, Horlings 2008
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Gene Expression Profiling in MUP 2
• Confirm existing suspicions or provide new info?
- High agreement with already available CP data
– ? superiority to IHC + clinical info in unresolved
cases: not helpful (Personal experience w CancerType ID)
– Cost: $ 3,350 - 3,750
• Prospective studies are needed to assess:
- Effect on patient outcome
- Which profiling methodology /gene panel is best?
• IHC remains crucial component of workup.
• GEP may play supportive role in unresolved cases.
Promising future!!
Oien 2008
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Summary Cytopathologic Workup of MUP
• Clinico-pathologic approach
1. Cytomorphologic patterns
• Cell lineage: adenoca, squamous, etc.
• Cytomorphologic classification: small cell, large
cell, etc.
2. Ancillary studies – IHC
3. Clinical patterns of metastasis
• Common metastatic sites
• Uncommon metastatic sites
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General Principles Considered in
Analysis of Suspected Metastasis
• Familiar with cytologic features of common malignancies originating in a primary site
• Unusual/alien cytology for a primary site
• Knowledge of common and unusual metastatic patterns of malignancies & possible diagnostic pitfalls
• Produce a potential short list of possible primary sites
• Cytomorphology and IHC can then help arrive at a more specific diagnosis
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General Principles Considered in
Analysis of Suspected Metastasis (2)
• Clinical history of previous malignancy
• Review of previous pathology material
• Tissue confirmation in unresolved cases
before definitive treatment
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QUESTIONS