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Articles by Timo Lassmann
Mesothelioma location influences the tumour microenvironment and immune checkpoint therapy response in preclinical models - Scientific Reports
Abstract Mesothelioma is a cancer derived from mesothelial cells, most commonly arising from the pleura or the peritoneum. Immune checkpoint therapy (ICT) has shown survival benefit for pleural mesothelioma, but little is known about the response in peritoneal mesothelioma. Most preclinical mesothelioma models involve subcutaneous cancer cell implantation, which lacks the relevant tumour microenvironment of peritoneal mesothelioma and does not resemble the clinical presentation.
AI succeeds in diagnosing rare diseases
NEWS AND VIEWS 18 February 2026 An artificial-intelligence system uses clinical data, genetic information and literature searches to suggest diagnoses and provides the underlying reasoning. For the estimated 300 million people1 living with a rare disease worldwide, obtaining an accurate diagnosis remains an arduous journey. The ‘diagnostic odyssey’ often takes five years or more2, and is marked by repeated specialist consultations, misdiagnoses and unnecessary treatments.
Single-cell data combined with phenotypes improves variant interpretation - BMC Genomics
Our results support the hypothesis that integrating single-cell gene expression data into phenotype-specific models enhances both the accuracy and interpretability of pathogenic variant prioritisation. While previous work has shown that phenotype-specific models and bulk gene expression data improve variant prioritisation [7, 9, 14, 52], the benefit of single-cell data, capturing variation within and across tissues and cell-types, has not been explored.
Coupling of response biomarkers between tumor and peripheral blood in patients undergoing chemoimmunotherapy
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Keywords immune checkpoint therapy ICT platinum chemotherapy mesothelioma single-cell RNA sequencing biomarkers response peripheral blood cancer CD8+ T effector memory cells PD-L1 Introduction Pleural mesothelioma is a rare malignancy linked to asbestos exposure.
By Wee Loong Chin, Jonathan Chee, Nicola Principe, Tracy Hoang, Joel Kidman, Yen Yeow, Matthew Jones, Rui Hou, Elena Denisenko, Alison McDonnell, Chung-Chau Hon, Jonathan Moody, Denise Anderson, Sonia Yip, Michelle M Cummins, Martin R. Stockler, Peey-Sei Kok, Chris Brown Verified, Thomas John, Deme Karikios, Kenneth J. O’Byrne, Brett Hughes, Richard Lake Verified, Alistair Forrest Verified, Timo Lassmann, W. Joost Lesterhuis, Alistair M. Cook, Khaing P.W. Hmon, Steven C.-H. Kao
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Cell Reports Medicine
Verified
Spectral detection of condition-specific biological pathways in single-cell gene expression data
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Bilateral murine tumor models for characterizing the response to immune checkpoint blockade
Abstract The therapeutic response to immune checkpoint blockade (ICB) is highly variable, not only between different cancers but also between patients with the same cancer type. The biological mechanisms underlying these differences in response are incompletely understood. Identifying correlates in patient tumor samples is challenging because of genetic and environmental variability. Murine studies usually compare different tumor models or treatments, introducing potential confounding variables.
Personalised analytics for rare disease diagnostics
Abstract Whole genome and exome sequencing is a standard tool for the diagnosis of patients suffering from rare and other genetic disorders. The interpretation of the tens of thousands of variants returned from such tests remains a major challenge. Here we focus on the problem of prioritising variants with respect to the observed disease phenotype. We hypothesise that linking patterns of gene expression across multiple tissues to the phenotypes will aid in discovering disease causing variants.
Expression levels of therapeutic targets as indicators of sensitivity to targeted therapeutics
Research Article Riti Roy, Louise N Winteringham, Timo Lassmann and Alistair R. R. Forrest DOI: 10.1158/1535-7163.MCT-19-0273 Abstract Cancer precision medicine aims to predict the drug likely to yield the best response for a patient. Genomic sequencing of tumours is currently being used to better inform treatment options, however, this approach has had a limited clinical impact due to the paucity of actionable mutations.
A phenotype centric benchmark of variant prioritisation tools
The latest publication of dbNSFP21 categorises variant prioritisation tools as conservation scores, functional prediction scores, general prediction scores and ensemble scores.
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