Article

Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data

2023-07-11

Abstract excerpt

Genetic heterogeneity and co-occurring driver mutations impact clinical outcomes in blood cancers. Grouping tumours into clusters based on genetic alterations is prognostically informative. However, predicting the emergent effect of co-occurring mutations that impact multiple complex and interacting signalling networks remains challenging. Here, we used mathematical models to predict the impact of co-occurring mut...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: d146f2f4-1037-5134-b642-53d9884927cd
DOI: 10.1101/2023.07.10.548371

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing dataDOI 10.1101/2023.07.10.548371Read

Patient-specific computational models predict prognosis in B cell lymphoma by quantifying pro-proliferative and anti-apoptotic signatures from genetic sequencing data.Semantic proximity Read

Patient-specific B-cell lymphoma modeling identifies cooperating genetic alterations and the critical influence of patient contextSemantic proximity Read

Dissecting diffuse large B-cell lymphoma heterogeneity: New insights from a state-specific molecular characterisation.Semantic proximity Read

Executable cancer models: successes and challenges.Semantic proximity Read

Personally tailored cancer management based on knowledge banks of genomic and clinical dataSemantic proximity Read

Patterns of oncogene co-expression at single cell resolution in cancer influence survivalSemantic proximity Read

Statistical tests for intra-tumour clonal co-occurrence and exclusivity.Semantic proximity Read

Clone-level multi-modal prediction of tumour drug responseSemantic proximity Read

A Conversational Artificial Intelligence Framework for Comparative Pathway-Level Profiling of Sézary Syndrome and Primary Cutaneous CD8 <sup>+</sup> Aggressive Epidermotropic Cytotoxic T-Cell Lymphoma (PCAECTCL)Semantic proximity Read

Data-driven learning how oncogenic gene expression locally alters heterocellular networksSemantic proximity Read

Resolving heterogeneity in Diffuse Large B-cell Lymphoma using a comprehensive modular expression mapSemantic proximity Read

Integrated molecular and functional characterization of the intrinsic apoptotic machinery identifies therapeutic vulnerabilities in gliomaSemantic proximity Read