Tissuegnostics Precision that inspires
Checkpoint molecule

Checkpoint Molecules Predict Response to Immunotherapy in Cancer

Heij et al. investigated the expression of checkpoint molecules in the tumor microenvironment of intrahepatic cholangiocarcinoma. They found that co-expression patterns of checkpoint molecules such as PD-L1 and TIGIT correlate with metastases and poor prognosis. TissueFAXS and StrataQuest were used to image the mIF-stained samples and assess protein expression.

InCoB conference

InCoB 2023 Bioinformatics Conference: Registration Open

The 22nd InCoB conference, organized by Prof. Jyotsna Batra (Queensland University of Technology, Australia), TissueGnostics REDI research fellow, is taking place in Brisbane, Australia in November 2023. The conference is focused on translational bioinformatics topics, transforming life. Registration for the event is now open.

AI-tumor-profiles

AI-Assisted Analysis of ‘Anti-/Pro-Tumor’ Profiles for Pancreatic Adenocarcinoma

To predict survival of patients with pancreatic adenocarcinoma, Zhou et al. performed an AI-assisted comprehensive analysis of CD8+ T cells, cancer stem cells (CSCs), and tumor budding (TB). They used StrataQuest image analysis software to automatically detect and quantify tumor-infiltrating CD8+ T cells, CD133+ CSCs, and CK19+ TB.

IF Tumor Foci Angio

Case Study: Evaluating the Distance of Tumor Cells from Blood Vessels

The tumor vasculature is essential for keeping the tumor alive and facilitating its often-extensive growth. Here, the IF Tumor Foci Angio App was used to (i) assess the number of tumor and non-tumor nuclei, (ii) the number of blood vessels, and (iii) to evaluate the distance of tumor cells from blood vessels within the tumorous areas.

Book

Book: Genetic Complexity of Hormone Sensitive Cancers

Dr. Rupert Ecker, CEO of TissueGnostics, and Prof. Jyotsna Batra (QUT) and colleagues participated in publishing a special issue "Genetic Complexity of Hormone Sensitive Cancers" in MDPI Genes. The book covers various details of methods in digital histopathology and illustrates novel findings in genetic mechanisms in several types of cancer.

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