Immunohistochemical classification of breast tumours

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Immunohistochemical classification of breast tumours Workshop in Diagnostic Immunohistochemistry September 19 th - 21 th 2018 Anne-Vibeke Lænkholm Department of Surgical Pathology, Zealand University Hospital, Slagelse Denmark

Agenda Immunohistochemical biomarkers for Diagnostics Benign Hyperplasia and Ductal Carcinoma in Situ Ductal Carcinoma in Situ and Lobular Carcinoma in Situ Carcinoma In Situ and Invasive Carcinoma Histological subtype classification Malignant breast tumors Predictive/Prognostic markers Estrogen Receptor Progesteron Receptor HER2 Ki67 Intrinsic subtype classification by surrogate IHC biomarkers? Tumor heterogeneity 2

3

Terminal duct lobular unit = TDLU 4

Mammary gland 2 types of epithelial cells are present: Luminal cells and myoepithelial cells Luminal cell Myoepithelial cell Myoepithelial cells with contractile function forming a meshwork that does not cover the entire basement membrane nor the entire luminal cell 5

Immunohistochemical phenotype Luminal markers (LMW): CK7, CK8, CK18, CK19 Myoepithelial markers: Myo: p63, SMA, CD10, SMMHC Cytokeratins (HMW): CK5, CK14, CK17 6

Benign hyperplasia Positive staining for myoepitelial cells P63 CK5

Ductal Carcinoma In Situ CK14 Ductal Carcinoma In Situ Monotonous epithelial proliferation within ducts 8

present Invasive Carcinoma i.e. SMMHC Not present In situ normal invasive Detecting presence Detecting absence

Loss of E-Cadherin Lobular Carcinoma in situ Terminal duct lobular unit E-cadherin: Cell Adhesion Molecule

Carcinoma in situ Ductal carcinoma in situ 12-15% of malignant lesions in the Danish screening population Microcalcifications Risk of progression to invasive carcinoma Surgery with free margins Radiation therapy after breast conserving surgery Lobular carcinoma in situ Incidence 0.5 3.6% Often incidental finding Multifokal and often bilateral Slowly proliferating lesions Observation / screening

Breast cancer: Incidence and mortality Denmark

Invasive Breast Cancer Histological Subtypes Ductal : up to 80% Lobular: 5-14% Tubular: 2-8% Mucinous: 2-4 % Apocrine: 1 4% Papillary 1 2% Other Tubular Carcinoma Mucinous Carcinoma 13

Loss of E-Cadherin in 90% of Invasive lobular Carcinoma E-Cadherin Cell adhesion molecule E-Cadherin positive Invasive Ductal Carcinoma Lobular carcinoma not recommended for neoadjuvant treatment 14

P120 catenin dislocated to the cytoplam in lobular carcinoma A supplement for classification of lobular neoplasia 15

Apocrine carcinoma classification HE Androgen Receptor AR staining in IHC-basallike breast cancer as potential marker for AR targeted treatment 16

Prognostic and predictive biomarkers 17

Science, Vol 235, 1987

There are four receptors in the HER family HER4 HER3 HER2 HER1/EGFR Receptors are able to homo- and heterodimerise EGFR, epidermal growth factor receptor; HER, human epidermal growth factor Adapted from Yarden Y & Sliwkowski MX. Nat Rev Mol Cell Biol 2001; 2:127 137.

HER2 Algoritm Breast cancer specimen (invasive component) IHC ISH 0 1+ 2+ 3+ - + ISH Trastuzumab therapy Trastuzumab therapy - + Trastuzumab therapy

HER2 trials for early breast cancer 2000-2001

HERA; 11 years follow up final analysis After 11 years of median follow-up, the use of 1 year of adjuvant trastuzumab significantly improves disease outcomes in patients with HER2-positive early breast cancer. The relative risk of a disease-free survival event is reduced by 24%. An absolute benefit of 6.8% improvement in 10-year disease-free survival in those women who were randomly assigned to 1-year trastuzumab group compared with those assigned to the observation group. A 6.5% absolute gain was found in overall survival at 12 years between those in the 1-year trastuzumab group versus those in the observation group.

Two different assays IHC is an assay at the single-cell level It will detect even an individual positive cell ISH is a population-based assay (mean number of gene copies/cell evaluated by scoring 20-60 cells.) The final result depends on the number of gene copies of the amplified cells after dilution by nonamplified cells

HER2 IHC Obs invasive micropapillary carcinoma G HER2 3+ and ISH + : 15 % (DK)

HER2 FISH Green: :centromere chromosome 17 Red : HER2 gene Dual probe: Amplified HER2/CEN17 ratio > 2.0

HER2 Gene/Protein Assay HER2 amplified and HER2 IHC 3+

27

HER2 testing by validated dual-probe ISH assay 28

Group 2 29

Group 3 30

Group 4 31

The oestrogen receptor as a prognostic marker Shift from prognostic to predictive!! Risk of recurrence pr. year N = 3,562 patients Lin, N. U. et al. J Clin Oncol; 26:798-805 2008 Copyright American Society of Clinical Oncology

Relevance of measured ER and PR status on the effects of about 5 years of tamoxifen on the 10 year probability of recurrence (EBCTCG) Lancet. 2011 August 27; 378(9793): 771 784.

Interpretation of ER IHC ER positive 86% of breast carcinomas (DK) Cut off 1% (regardless of intensity) Allred method

Interpretation of PgR IHC 35

Neo-adjuvant treatment Neoadjuvant systemic therapy in the treatment of early-stage breast cancer. Tumor down staging pcr (pathological complete response) is an evaluable end point for determining the efficacy of the treatment. Prognostic information (DFS) Post treatment - surgery HER2 IHC 36

Tumor characteristics and association with pcr Lobular carcinoma not recommended for neoadjuvant treatment Cortazar et al. Lancet 2014; 384: 164-72

Neoadjuvant treatment IHC discordancy post treatment Breast Cancer Res Treat (2012) 135:29 37

Breast cancer Molecular intrinsic subtypes Claudin-low Basal-like HER2-enriched Normal Breast Luminal A and B Intrinsic Subtypes Perou et al., Nature 2000 Sorlie et al., PNAS 2001 Sorlie et al., PNAS 2003 Nielsen et al., CCR 2004 Cheang et al., CCR 2008 Parker et al., JCO, Feb 2009 Cheang et al., JNCI 2009 Prat et al., BCR 2010 Nielsen et al., CCR 2010 Relapse-free survival

Breast cancer Molecular intrinsic subtypes Endocrine Dependent Endocrine Independent Favorable Prognosis Unfavorable Prognosis Chemo Resistant Chemo Sensitive Lum A Lum B HER2- enriched Basallike

Recent Publication in the Journal of Clinical Oncology 2017 NanoString Technologies, Inc. All Rights Reserved.

Major findings from this study with regards to distant recurrence risk at 10 years after 5 years of endocrine therapy alone Node Negative (n=1163) Node Positive (n=1395) All patients categorized as low risk regardless of nodal involvement status had DR absolute risk below or equal to 5% Low risk 5% (95% CI, 2.9% to 8.0%) 3.5% (95% CI, 1.9% to 6.1%) Intermediate risk 7.3%(95%CI, 4.8% to 10.5%) 11.5% (95% CI, 8.0% to 15.6%) High risk 17.8% (95%CI, 14.9% to 22.4%) 22.1% (95% CI, 18.6% to 25.8%) LN=0 n=1163 LN=1+ n=779 LN=2+ n=393 LN=3+ n=223 Lænkholm A et al. J Clin Oncol 2018 epub ahead of print 2017 NanoString Technologies, Inc. All Rights Reserved. De-escalation of treatment More patients can be spared chemotherapy

Immunohistochemical surrogate markers for the molecular intrinsic subtypes Limitations Confusing terminology i.e. basallike breast cancer vs triple negative breast cancer No uniform cut off Lack of correlation: molecular subtypes and surrogate IHC subtypes 43

Immunohistochemical surrogate markers for the molecular intrinsic subtypes 44

Development of an improved panel for basal breast cancer 46 proposed IHC biomarkers published in the literature as associated with the basal subtype Utilizing PAM50 gene expression profiling platform as a gold standard Analytical Validity Nestin positivity or a loss of the expression of inositol polyphosphate-4-phosphate (INPP4B) type 2 : the most strongly associated IHC markers with basal like subtype Sensitivity (83%) and specificity (96%) Won et al. Mod Pathol. 2013

Scoring of basal markers Basal-like = Nestin+ OR INPP4B- Non Basal-like = Nestin- AND INPP4B+ 1% <5% Nestin Parry et al. J Clin Pathol 2008 INPP4B Fedele et al. PNAS 2010

St Gallen international breast cancer conference on primary therapy of early breast cancer the road of Ki67 Use of pathology to define intrinsic molecular breast cancer subtypes by application of IHC surrogate markers? 2009 Thresholds for therapies. Ki67: 3 categories low <15%, intermediate 16 30% and high >30% 2011 Strategies for breast cancer molecular subtypes genetic testing and attempt for approximation by surrogate IHC markers (ER, PR, HER2 and Ki67) with Ki67 cut off: 14% 2013 Personalizing the treatment of women with early breast cancer. Classification of subtypes with Luminal A: ER+, PR 20% and Ki67 <20%, HER2-. Luminal B: ER+ and PR<20% and/or Ki67 20%, HER2-2015 Tailoring therapies-improving the management of early breast cancer: Threshold value of Ki-67 within the range of 20% 29% to distinguish luminal B-like` subtype 2017 News since St. Gallen 2015: De-escalating and escalating treatment according to stage and breast cancer subtype: low ki67 versus high ki67 Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature.2000;406:747 752 Wirapati P et al. Meta-analysis in gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures. Breast cancr Res 2008; 10: R65 Cheang MCU, Chia SK, Voduc D, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101:736 750. Dowsett M et al. Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group. J Natl Cancer Inst. 2011 Nov 16;103(22)

Lack of correlation: molecular subtypes and surrogate IHC subtype classification Viale G et al. Breast Cancer Res Treat 2017 DOI 10.1007/s10549-017-4509-9

Lack of correlation: molecular subtypes and surrogate IHC subtype classification 50

Concordance with PAM50 51

Tumor heterogeneity 52

Analysis of ER and HER2 in metastatic lesions ER discrepancy: 12 29%, often with loss of receptor HER2 discrepancy: 6 20%, often with gain of HER2+ Limitations: Many pathology chart review studies, did not re-analyse tumor samples (methodological variation) Prospective studies: - Treatment decision consequence in 15-20% -Benign disease/other malignancies in 14% Slide courtesy of Jeanette Dupont Jensen. Department of Oncology, Odense University Hospital, Denmark

In conclusion Immunohistochemical classification of breast tumors A valuable supplement for the diagnosis of benign versus in situ and in situ versus invasive Histopathological classification of malignant breast tumors Treatment allocation (i.e. lobular vs non lobular) Prognostic and predictive factors Selection of treatment and treatment duration Intrinsic molecular subtype / gene expression profile Identification of patients who can be spared chemotherapy Tumor heterogeneity Repeat analysis multifocal tumors pre/post neo-adjuvant treatment primary tumour/metastasis

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