Laura A. L. Dillon

Correlation of immune phenotypes derived from H&E-stained whole slide images with prognosis and response to checkpoint inhibitors in NSCLC.

Nhat Le, Laura A. L. Dillon, Ciyue Shen, Matthew P. Bronnimann et autres

8539 Background: The classification of tumors as inflamed, excluded or desert based on spatial patterns of tumor infiltrating lymphocytes (TILs) is a potential biomarker of patients likely to respond to checkpoint inhibitors (CPI). However, the subjectivity of manual methods to assess these …

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Abstract 7392: Machine learning-based identification of H&E-derived morphologic features associated with CD8+ T cell immune exclusion

Yanchao Wang, Fredrick D. Gootkind, Florent Peyraud, Jean‐Philippe Guégan et autres

Abstract Background: Immune exclusion is characterized by a predominance of CD8+ T cells in the stroma of the tumor microenvironment (TME) which are not in contact with tumor cells. Immune exclusion is a significant obstacle to effective cancer immunotherapy and reversing it …

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Abstract 2916: Discoidin domain receptor 1 (DDR1) expression is associated with degree of immune exclusion across epithelial tumors

Xinwei Sher, Fredrick D. Gootkind, Thomas Schürpf, Florent Peyraud et autres

Abstract Background: Discoidin domain receptor 1 (DDR1) is highly expressed in epithelial cancers and has been implicated in tumor growth, invasion, and lack of response to therapy. DDR1 contributes to immune exclusion by promoting tumor collagen alignment in in vivo models. However, …

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Abstract 2309: 3D spatial quantification of lymphocyte infiltration and collagen features in the tumor microenvironment using a novel assay: 3D I/O Pro™

Caleb R. Stoltzfus, Jasmine J. Wilson, Nathan L. Grant, Alexandra Alvarsson et autres

Abstract Background: The composition of the tumor microenvironment (TME) is a major determinant of response to therapy in many solid tumors. To-date, characterization of the TME has been based on limited analysis of thin tissue sections. Here we demonstrate the utility of …

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Abstract 2108: High prevalence of immune exclusion in cancer as determined by pathologist assessment and image analysis

Florent Peyraud, Fredrick D. Gootkind, Antoîne Italiano, Alban Bessede et autres

Abstract Background: Immune infiltrated tumors have high levels of lymphocytes contacting tumor cells and are more responsive to checkpoint inhibitors. Tumors with few lymphocytes in contact with tumor cells can be divided into desert or excluded phenotypes based on lymphocyte absence/paucity or …

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Towards a consensus definition of immune exclusion in cancer

Ankur Tiwari, Tamás Oravecz, Laura A. L. Dillon, Antoîne Italiano et autres

Background The immune cell topography of solid tumors has been increasingly recognized as an important predictive factor for progression of disease and response to immunotherapy. The distribution pattern of immune cells in solid tumors is commonly classified into three categories - namely, …

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Image model embeddings for digital pathology and drug development via self-supervised learning

Khan Baykaner, Mona Xu, Lucas Bordeaux, Feng Gu et autres

ABSTRACT Whole slide images (WSIs) contain rich pathology information which can be used to diagnose cancer, characterize the tumour microenvironment (TME), assess patient prognosis, and provide insights into the likelihood of whether a patient may respond to a given treatment. However, since …

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Early Leukocyte Responses in Ex-Vivo Models of Healing and Non-Healing Human Leishmania (Viannia) panamensis Infections

María Adelaida Gómez, Ashton T. Belew, Adriana Navas, Mariana Rosales-Chilama et autres

Early host-pathogen interactions drive the host response and shape the outcome of natural infections caused by intracellular microorganisms. These interactions involve a number of immune and non-immune cells and tissues, along with an assortment of host and pathogen-derived molecules. Our current knowledge …

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An Unsupervised Graph Embeddings Approach to Multiplex Immunofluorescence Image Exploration

Christopher Innocenti, Zhen‐Ning Zhang, Balaji Selvaraj, Isabelle Gaffney et autres

ABSTRACT Understanding the complex biology of the tumor microenvironment (TME) is necessary to understand the mechanisms of action of immuno-oncology therapies and to match the right therapies to the right patients. Multiplex immunofluorescence (mIF) is a useful technology that has tremendous potential …

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Image analysis in drug discovery

Adam M. Corrigan, Daniel Sutton, Johannes Zimmermann, Laura A. L. Dillon et autres

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Contributors

Paul‐Michael Agapow, Stephanie Kay Ashenden, Aleksandra Bartosik, Kaustav Bera et autres

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Unlocking the secrets of the genome

Kevin P. White, Steven Henikoff, Fabio Piano, Gos Micklem et autres

Despite the successes of genomics, little is known about how genetic information produces complex organisms. A look at the crucial functional elements of fly and worm genomes could change that.