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@eriksahailab.bsky.social

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Paul Macklin@mathcancer.bsky.social · last yr.

Fantastic upcoming 2-day workshop on digital twins for cancer care at Oxford's Isaac Newton Institute, September 18-19 this year. This workshop will have a fantastic set of experts, and I'll also give a keynote talk on our cancer immunology work. 🧪 1/8 Apply at: www.newton.ac.uk/event/ooew07/

Mathematical Foundations of Oncological Digital Twins - Isaac Newton Institute

The workshop aims to bring together mathematicians, oncologists, data scientists, and computational biologists to explore and advance the mathematical...

newton.ac.uk

Cassie Clarke@cassiejclarke.bsky.social · last yr.

Delighted to share the work of @gounismichalis.bsky.social describing how metabolic reprogramming of micrometastatic cells influences EV release to generate invasive microenvironments.Michalis is an immense talent & it really is an honour to share his PhD work & my first senior author paper #ProudPI

Journal of Cell Biology@jcb.org · last yr.

@gounismichalis.bsky.social‬ et al. show that cells that seed early lung #metastasis in #BreastCancer have altered #metabolism. These metabolic alterations lead them to release extracellular vesicles which engender a microenvironment conducive to invasive growth. rupress.org/jcb/article/...

Trends in Cancer@cp-trendscancer.bsky.social · last yr.

The extracellular matrix in cancer: from understanding to targeting

The extracellular matrix in cancer: from understanding to targeting

Significant advances in matrix biology research have enhanced our understanding of individual matrix components and extracellular matrix (ECM) signalling. The dysregulation of the ECM during the development of solid tumours is a critical area of investigation. Despite recent progress, further investigation into the role of the ECM in cancer progression and therapeutic targeting remains essential for improving outcomes. This study is especially relevant for ECM-rich cancers, such as pancreatic cancer, which is characterised by dense fibrosis that impacts all stages of tumour development, including initiation, progression, and chemoresistance. Currently, no matrix-targeting agents have achieved mainstream clinical implementation. Challenges in this field include insufficient integration of new technologies, and limited understanding of cross disciplinary influences and of the complex, multifunctional nature of the ECM. In this review, we highlight key areas of matrix biology research that are crucial for advancing cancer treatment.

dlvr.it

@eriksahailab.bsky.social · last yr.

Really neat study applying new ML methods to our imaging data to predict the fate of lung cancer cells following EGFR inhibition. www.biorxiv.org/content/10.1... see also www.biorxiv.org/content/10.1...

AI4CellFate: Interpretable Early Cell Fate Prediction with Generative AI

Live-cell imaging provides a unique insight into complex cellular processes including single cell fate, but remains limited by both low-throughput and the lack of generalisable analytics for the multi...

biorxiv.org