Use of algorithm in IHC

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    Use of algorithm in IHC - Presentation Transcript

    1. Diagnosis of Tumors using Algorithms
      • Lawrence T. Richards
      • M.S.,H.T(ASCP).,QIHC(ASCP).
    2. Diagnosis of Tumors using Algorithms
      • A diagnostic algorithm is a method which utilizes a panel of antibodies intended to solve a diagnostic problem
      • Many different diagnostic algorithms exist and are available in journals and text books
      • A diagnostic algorithm is followed by a selective markers for tumor sub classification.
      • The panel of antibodies selected should be based on the morphological appearance of the tissue and the patient’s clinical history provided by the physician.
    3. Special stain vs IHC MUC-1 PAS MUC-1(IHC) PAS (Special Stain) AdenoCarcinoma (GI)
    4. Markers and Histogenesis
      • HISTOGENESIS MARKERS
      • Mesenchymal Vimentin
      • Epithelial Cytokeratin, EMA
      • Smooth Muscle Desmin, HHF35, SmActin
      • Skeletal Muscle Myoglobin
      • Fibrohistiocyte CD68, Factor XIIIa
      • Nerve Sheath Leu7, Glial fibrillary acidic protein
      • Melanocyte HMB 45
      • Neuronal Neurofilament
      • Endothelial, perivascular Factor VIII,CD34,CD31
      • Hematopoitic LCA,CD3,CD20,Ki-1
      • Neuroendocrine NSE,Chromogranin,Synaptophysin
      • Ewing’s sarcoma/PNET MIC-2(O-13)
      • Source:www.moffitt.usf.edu/pubs/ccj/v5nl/department5/html
    5. Basic Flow Chart Sequential First Round (+) ( - ) (+) (+) (+) ( - ) ( - ) ( - ) Second round
    6. Use of Panel of Antibodies Ab1 Ab2 Ab3 Ab4 Ab5 Ab6 + (-) + (-) + + Tumor-1 (-) + (-) + (-) (-) Tumor-2
    7. Differential Application
      • Tumor 1 Tumor 2
      • Ab1 + Ab1 –
      • Ab2 - Ab2 +
    8. Diagnostic Algorithm for unknown Tumor Type Source adopted from: DAKO training manual Positive Positive Negative Negative Vimentin Positive Negative Negative Negative Desmin Negative Positive Negative Negative S 100 / HMB45/ MART-1 Tyrosinase Negative Negative Positive Negative LCA For Poorly differentiated malignant tumor differentiation Caution: Variation in cellular pattern can mislead (+) and (-) . Negative Negative Negative Positive Pan Keratin Notes Sarcoma Melanoma Lymphoma Carcinoma
    9. Undifferentiated Malignant Neoplasm Almost always positive Almost always Negative Sometimes positive Sometimes negative Gowen AM.Diagnostic Immunohistochemistry of Solid Tumors: Strategies and Solutions,USCAP;2002 #35 CD43 PD7/2B11 CD 45 HMB 45 Melanoma antigen V9 Vimentin AE1/AE3 Cytokeratin Sarcoma Melanoma Lymphoma Carcinoma Abs/clone Abs to
    10. Carcinoma of Unknown Primary
      • The hypothesis is that the primary tumor either remains microscopic and escapes clinical detection or disappears after seeding the metastasis.
      • Antibody Algorithm is used to
      • Search for primary Site
      • Rule out Non-Carcinoma
        • Like lymphoma, melanoma, sarcoma
      • Identify Sub-Groups for Treatment
    11. Threshold for Positivity * Positive Generally : unequivocal staining of =10% of tumor cells   +/- + -/+ (-) : >90% of tumors positive* : 50-90% of tumors positive* : 10-50% of tumors positive* : <10% of tumors positive* ? : Insufficient evidence [ ] : Staining of secondary (non-neoplastic) cell type ( ) : Staining dependant on antibody
    12. Metastatic Adenocarcinoma of unknown origin with site specific markers PSA + (-) (-) (-) (-) (-) (-) (-) (-) + + + + + + + Prostate Lung Stomach/ Pancreas Breast Colon Colon Stomach / Pancreas Breast Ovary Pancreas ,(Ovary serous) Stomach / Pancreas Breast / Stomach / Pancreas Source: www.clincancerres.aacrjournals.org/egi/content/full/11/10/3766 TTF-1 GCDFP15 CDX2 / CK20 ER CA125 Mesothelin Lysozyme + + + (-) (-) (-) CDX2 CK 7 Mesothelin MC5+ (98%)
    13. Details of Abs used in the Algorithm Dennis JL et al.Clinical Cancer Research;11:3766-3772,2005 HIER 1:500 DAKO Ks20.8 CK20 HIER 1:50 Novocastro SPT249 TTF-1 HIER 1:100 DAKO ER-PR8 PSA HIER 1:20 Novocastro 5B2 MESOTHELIN ENZYMATIC 1:5000 Novocastro POLY LYSOZOME HIER 1:20 Novocastro 23A3 GCDFP-15 HIER 1:50 Novocastro 6F11 ER HIER 1:500 DAKO OV-TL CK7 HIER 1:100 Novocastro AMT28 CDX2 HIER 1:400 Novocastro Ov185:1 CA 125 A R Dilution Source Clone Abs
    14. Algorithm for Tumors of Unknown Origin Gross Cystic Disease Fluid Protein Source:www.clincancerres.aacrjournals.org/content/vol11/issue10 96 72 Stomach and Pancreas CK7 69 65 Stomach and Pancreas Lysozyme 85 85 Ovary and Pancreas Mesothelin 88 88 Ovary and Pancreas CA 125 95 74 Breast and Ovary ER 96 54 Breast GCDFP-15 97 36 Colon,Stomach, Pancreas CK20 91 68 Colon CK20 98 56 Colon and Stomach CDX-2 96 83 Colon CDX-2 98 91 Lung TTF-1 99 100 Prostate PSA % Specificity % Sensitivity Tumor of Marker
    15. Differential Diagnosis Bladder vs Prostate ca Goldstein N.Immunohistochemical Antibody Panels to help Identify the Primary Sites of Various Carcinomas;ASCP Teleconference # 2109 + (-) PSA + (-) PAP (-) + CEA (-) + Cytokeratin 20 (-) + Cytokeratin 7
    16. Mesothelioma or Small Cell Carcinoma ?
    17. Mesothelioma vs Carcinoma Brown RW et al.Multiple-marker immunohistochemical phenotypes distinguishing malignant pleural mesothelioma from pulmonary adenocarcinoma. Hum Pathol.1993;24:347-354 70 0 B72.3 30 90 Calretinin 80 0 Ber-EP4 30 40 Vimentin 65 0 Placental Alkaline Phosphatase 15 0 CEA 85 10 S-100 75 10 Leu-M1 8 100 Thrombomodulin 100 80 EMA 100 100 Cytokeratin Carcinoma % Mesothelioma % Antigen
    18. Cytokeratin phenotype
      • CK phenotype
      • CK7 (-) / CK 20 (-)
      • CK7 (+) / CK 20 (-)
      • CK7 (-) / CK 20 (+)
      • CK7 (+) / CK 20 (+)
      • Tumors
      • HNC, Liver, Lung (SqCC and SmCC),Prostate, Renal
      • Biliary and Pancreas, Breast, Cervical, EM, Lung(Ad ca), Ovarian (non-mucinous), thyroid
      • Colon, Gastric, Markel C ca
      • Biliary and Pancreas, Ovarian (Mucinous), Urothelial.
      Source: Adopted from Dennis JL, Clin Cancer Res 2005
    19. Cytokeratin for Carcinoma Diagnosis
      • CK5 CK7 CK20
      • Breast Ca Ductal ★ ● ○
      • Lung nonsmall Cell ○ ● ○
      • (non SqCCa)
      • Lung SqCCa ● ★ ○
      • Pancreatic Ca ○ ★ ★
      • Colorectal Ad Ca ○ ○ ●
      • Mesothelioma ● ● ○
      • Prostatic Ad Ca ○ ○ ○
      • Transitional Cell Ca ● ● ●
      • ★ May be Positive ● Positive ○ Negative
      • Source: A.M.Gown ASCP Course #35
    20. Prostate Ca or Benign ?
      • Prostate Cancer
      • EpCam +
      • ATM +
      • AMACR +
      • PSA + / (-)
      • 34 ßE12 (-) almost all
      • p63 (-) almost all
      • Prostein +
      • NKX3.1 +
      • Benign Prostate
      • EpCam (-)
      • ATM (-) / +
      • AMACR (-)
      • PSA + / (-)
      • 34 ßE12 +
      • p63 +
      • Prostein +
      • NKX3.1 +
      Hammerich KH et al.Application of Immunohistochemistry to the Genitourinary System(Prostate, Urinary Bladder, Testis, and Kidney)Archives of Pathology and Laboratory Medicine;132:432-440,2007 ATM =ataxia-telangiectasia mutated;AMACR=alpha-methylacyl-CoA racemase;Ep-Cam=epithelial transmembrane glycoprotein
    21. Urothelial Ca vs Prostate Ca
      • EMA
      • CK7
      • P63
      • CK5/6
      • EpCam
      • CD57
      • PSA
      • PAP
      • NKX3.1
      • Prostein
      • + -
      • + -
      • +/- 0
      • +/- 0
      • +/- 0
      • -/+ +/-
      • 0 +
      • 0 +/-
      • 0 +
      • 0 +
      • 0 +
      Urothelial ca Prostate ca Hammerich KH.Archives of Pathology and Laboratory Medicine;132(3):432-440 Urothelial ca Prostate ca
    22. Ab Cocktails
      • Breast Ca : ER + GCDFP-15
      • Melanoma : MART-1+Melan A+Tyrosine +
      • PNL2
      • Basal Cell Marker : p63 + 34betaE12 +
      • CK5/6
      • Endocrine Ca: Chrom A+NSE +
      • Synaptophysin
      • Pan Sarcoma : Vim + Coll IV + CD 99
    23. Endocervical Ad.Ca & Endometrial Mucinous Ad.Ca
      • ECA
      • MUC-1(-)
      • ER(-)
      • PR(-)
      • P16(+)
      • EMMA
      • MUC-1 (+)
      • ER(+)
      • PR(+)
      • P16(-)
      Khoury T et al.BMC Clin Path 2006;6:1
    24. A, Normal post-menopausal endometrium (H&E, 20x); B, MUC1 immunostain in normal postmenopausal endometrium showing “pure apical” staining pattern (x20); C, normal endocervical glands (H&E, 20x); D, MUC1 immunostain in normal endocervical glands showing A/C staining pattern, (x20). MUC1-Purely Apical vs Apical & Cytoplasmic Khoury T, et al.BMC Clin Pathol.2006;6:1
    25. Characteristics of antibodies used for evaluation.
      • Antibody/Clone/Source/Antigen retrieval/Dilution
      • MUC1 Ma695 Novocastra, Hi temp 1:100 P16 E6H4 DAKO, TRS 1:25
      • Vim Vim3B4 DAKO, TRS 1:1000 ER 1D5 DAKO, TRS/Vector 1:100 PR PgR636 DAKO, TRS/Vector 1:200
      • Khoury et al. BMC Clinical Pathology 2006 6:1   doi:10.1186/1472-6890-6-1
    26. The Cost-Effectiveness of IHC
      • Why do IHC assay?
        • To increase patient life expectancy by correct
        • diagnosis and treatment plan.
        • To increase diagnostic certainty
        • To predict patient prognosis
        • eg., 35yr old female, history of Br ca, radical mastectomy performed earlier. Now diagnosed with cirrhosis and liver mass.
        • Meatastatic Ad Ca ?
        • Hepato Cellular Ca ?
    27. Lastly
      • “ The Diagnostic Power of any Immunohistochemical Procedure is no Greater than the wisdom of the Pathologist interpreting it.”
      • Dr.Allen Gown
      • Thank You all.

    + Lawrence RichardsLawrence Richards, 9 months ago

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