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Roche and Genentech at

TUCSON Symposium 2023

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May 2 / Roche
Synthetic Singleplex Image Generation for Multiplex-Brightfield Immunohistochemistry using Image-to-image Translation Methods
Multiplex-brightfield immunohistochemistry imaging(MPx) enables quantification of various biomarkers in tissue while retaining morphological and spatial information. Manual scoring of MPx is challenging, especially with co-localized biomarkers. Consequently, it requires unmixing methods to separate multiple-staining intensities and remix individual-staining intensity together with counterstain to become singleplex images(SPx). Pathologists confidently can read and score staining intensity on SPx. Nevertheless, to unmix MPx is challenging, especially when more than two-biomarkers co-localized. Conventional unmixing methods e.g.,color-deconvolution or Nonnegative-Matrix-Factorization remain limited and error prone to separate staining intensities of co-localized biomarkers in membrane or nuclear-subcellular compartments. Here, we exploit advances in generative-adversarial networks(GANs), especially of unpaired image-to-image translation using CycleGAN to generate synthetic SPx from MPx for pathologists’ read and scores.

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May 2 / Roche

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May 2 / Roche
An observational cohort study investigating the association between artificial intelligence- (AI) assisted tumor AREG and EREG immunohistochemistry (IHC) and outcomes from anti-EGFR therapy during the routine management of metastatic colorectal cancer (mCRC)
AREG and EREG are ligands of EGFR overexpressed by a subset of colorectal cancers (CRCs). Tumor AREG/EREG expression predicted benefit from anti-EGFR therapy in a previous retrospective analysis of the PICCOLO trial (second-line irinotecan ± panitumumab). This study sought to validate these findings in metastatic CRC patients who received anti-EGFR therapy during routine care.