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Inform software v 2.4.2

Manufactured by PerkinElmer
Sourced in United States

InForm software (v.2.4.2) is a data management platform developed by PerkinElmer. The core function of InForm software is to provide a centralized system for organizing and analyzing data generated from various laboratory equipment and experiments.

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2 protocols using inform software v 2.4.2

1

Multiplex Immunofluorescence for Tumor Microenvironment

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mIHC/IF was performed using an Opal Multiplex fIHC kit (PerkinElmer, Inc, Waltham, Massachusetts, USA), as previously described by our group and in other studies.25 31–52 (link) Tissue sections (4 µm thick) were labeled with primary antibodies against CD38, CD8 and CD68, followed by appropriate secondary antibodies. All antibodies used are listed in online supplementary table 2. This was followed by the application of a fluorophore-conjugated tyramide signal amplification buffer (PerkinElmer, Inc) and the nuclear counterstain DAPI. A Vectra three pathology imaging system microscope (PerkinElmer, Inc) was used to obtain images, and these were analyzed using inForm software (V.2.4.2; PerkinElmer, Inc)34 47 53 54 (link) and HALO TM (Indica Labs, Albuquerqe, New Mexico, USA).55–59 (link)
The density of CD38+CD68+ macrophages and CD8+ T cells were determined as follows: cell count per predefined, high-powered field (334 μm × 250 μm) represents the density of CD38+CD68+ macrophages and CD8+ T cells in the TME. Samples were then categorized as ‘high’ or ‘low’ according to whether the CD38+CD68+ macrophage and CD8+ T cell count was above the cut-off points (best thresholds) that produced the lowest p value, which were determined using previously described methods.25 31 32 36 37 43–52 60 61 (link)
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2

Quantifying Tumor Immune Profiles

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Visualization of multiplex fluorescent imaging was performed using Vectra Polaris Automated Quantitative Pathology Imaging Systems (Perkin Elmer, Hopkinton, MA, USA). Color separation, tissue and cell segmentation, and cell phenotyping were performed using inForm Software v2.4.2 (Perkin Elmer, Hopkinton, MA, USA). Multispectral regions of interest (200× magnification field) were randomly selected from the viable tumor part of each slide—as many as possible. The densities (number/mm2) of CD8 T cells (CD8+), CD8 TRM (CD103+ and CD8+), CD39+ CD8 TRM (CD39+, CD103+, and CD8+), PD-1+ CD8 TRM cells (PD-1+, CD103+, and CD8+), and PD-L1+ CD8 TRM cells (PD-L1+, CD103+, and CD8+) in each area of interest were automatically quantitated under the supervision of a skilled researcher (CPY) and a senior pathologist (YMJ), who were blinded to the response status. The average density of each cell type for each tumor was calculated. The median value of immune cell density of interest among all tumors was used to divide tumors into “high (infiltration)” and “low (infiltration)” groups.
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