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Automated staining system

Manufactured by Roche
Sourced in United Kingdom

The Automated Staining System is a laboratory equipment designed to automate the process of staining samples. It performs the staining procedure consistently and efficiently, reducing manual labor and improving the standardization of the staining process.

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5 protocols using automated staining system

1

Standardized Ki67 Staining Protocol

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Tissues from UK patients, both core biopsies and surgical resections were collected according to ASCO/CAP guidelines, while patients’ tissues from Japan were collected following ISO (International Organization for Standardization) 15189 approved by the Japan Accreditation Board. Preparation of the Ki67 slides of the first cohort has been previously described9 . Briefly, the corresponding core-cut biopsy and surgical resection blocks were centrally cut and stained with Ki67, resulting in 60 Ki67 slides from 30 cases. The IHC was performed using monoclonal antibody MIB-1 at dilution 1:50 (DAKO UK, Cambridgeshire, UK) using an automated staining system (Ventana Medical Systems, Tucson, AZ, USA) according to the consensus criteria established by the International Ki67 Working Group6 . Sections from the same block were stained in a single immunohistochemistry run, except for four cases where the staining was performed in two different runs. This approach effectively controls for any technical variation in staining.
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2

Comprehensive Immunohistochemical Analysis of Tumor Microenvironment

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Representative whole-section slides of the tumors were immunohistochemically stained for N-cadherin (1:100, mouse monoclonal; Zymed Laboratories Inc., San Francisco, CA, USA), neural cell adhesion molecule (1:100, mouse monoclonal; Leica Biosystems, Nussloch, Germany), S100 calcium-binding protein P (1:100, mouse monoclonal; R&D Systems, Minneapolis, MN, USA), CD3 (1:100, mouse polyclonal; Dako, Glostrup, Denmark), CD4 (prediluted, mouse monoclonal; Dako), CD8 (prediluted, mouse monoclonal; Leica Biosystems), CD68 (1:300, mouse monoclonal; Dako), CD163 (1:50, mouse monoclonal; Cell Marque, Rocklin, CA, USA), FOXP3 (1:100, mouse monoclonal; Abcam, Cambridge, MA, USA), C-reactive protein (rabbit monoclonal; Abcam), and programmed death-ligand 1 (mouse monoclonal; Dako) using an automated staining system (Ventana Medical Systems, Tucson, AZ, USA) according to the manufacturer’s instructions. The amount of immune cell infiltration was counted in 10 high-power field-equivalent area from microscopic images by QuPath software (University of Edinburgh, Edinburgh, UK).15 (link) Alcian blue staining was also performed to evaluate the presence and extent of intra/extracellular mucin production.
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3

Immunohistochemical Profiling of Prostate Adenocarcinoma

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For immunohistochemical evaluation a representative tissue block of n = 11 prostate adenocarcinoma cases, including periurethral tumor manifestations if available, was selected and stained for specific antibodies (Table S2). Staining and detection was performed using an automated staining system (Ventana). Semi-quantitative evaluation for each antibody was performed by two experienced pathologists. For each tissue block a corresponding hematoxylin–eosin (HE)-stained slide was available for morphological identification of prostate cancer. For each immunohistochemical marker the expression in the tumor and normal prostatic tissue were evaluated separately by assigning a four-tiered score (0 = negative, 1 = weak, 2 = moderate, 3 = strong). The extent of stained benign and malignant glands was estimated in 10% increments. In addition, the cellular compartment of the staining for both tumor area and normal prostatic glands was specified, whereas in the normal prostatic glands further evaluation of the distinct stained cell type (luminal and basal cells) was recorded. The predominant staining pattern was assessed when considerable heterogeneity of the staining intensity was detected.
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4

Breast Cancer Samples Selection and Analysis

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One hundred and ten cases of estrogen receptor (ER) positive breast cancer were selected from the Academic Department of Biochemistry (ADB) tumor bank at the Royal Marsden Hospital, UK. Sixty-nine of these were further selected for initial sectioning, based on visual estimation of the available material, Haematoxylin and Eosin (H&E) and Ki67 staining using Academic Biochemistry protocols.24 (link) Quality of each section (for example, crush artifacts and cellularity) was assessed and the percentage of Ki67 positivity was estimated. A set of 40 core-cut biopsy blocks was sectioned and stained in the Royal Marsden Hospital Histopathology Department using monoclonal antibody MIB1 at dilution 1:50 (DAKO UK, Cambridgeshire, UK) using an automated staining system (Ventana Medical Systems, Tucson, AZ, USA) according to the criteria established by consensus of the International Ki67 Working Group.10 (link) The final set of 30 core-cut biopsy sections was selected on the basis of sufficient cell numbers and quality of staining (Supplementary Figure 1). The distribution of clinicopathological parameters among these 30 cases is shown in Supplementary Table 1.
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5

Breast Cancer ER-Positive Immunohistochemistry

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Excision blocks from 30 oestrogen receptor (ER)-positive breast cancer cases were selected: 15 from the Phase IIIA study 30 and 15 from Kawasaki Medical School Hospital, Kurashiki, Japan (Figure S1). Case selection was irrespective of patients' age at diagnosis, tumour grade, size or nodal status. The clinicopathological characteristics of these 30 cases are shown in Table S1. All blocks were sectioned and stained in the Royal Marsden Hospital Histopathology Department using monoclonal antibody MIB1 at dilution 1:50 (Dako UK, Ely, UK) using an automated staining system (Ventana Medical Systems, Tucson, AZ, USA) according to criteria established by the IKWG. 9 Sections from the same block were stained in a single immunohistochemistry run, except for four cases where the staining was performed in two different runs. This approach effectively controls for any technical variation in staining.
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