Article

Machine-learning analysis of factors that shape cancer aneuploidy landscapes reveals an important role for negative selection

2023-07-05

Abstract excerpt

Aneuploidy, an abnormal number of chromosomes within a cell, is considered a hallmark of cancer. Patterns of aneuploidy differ across cancers, yet are similar in cancers affecting closely-related tissues. The selection pressures underlying aneuploidy patterns are not fully understood, hindering our understanding of cancer development and progression. Here, we applied interpretable machine learning (ML) methods to...

Topics

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

Identifiers and source

Literature Corpus work: 735a21d4-55b3-503c-aaf1-19d8eb470b90
DOI: 10.1101/2023.07.05.547626

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Machine-learning analysis of factors that shape cancer aneuploidy landscapes reveals an important role for negative selectionDOI 10.1101/2023.07.05.547626Read

Selection forces underlying aneuploidy patterns in cancerSemantic proximity Read

DeepCNA: an explainable deep learning method for cancer diagnosis and cancer-specific patterns of copy number aberrationsSemantic proximity Read

Negative selection may cause grossly altered but broadly stable karyotypes in metastatic colorectal cancerSemantic proximity Read

Pan-cancer analysis of single-cell RNA sequencing data from 304 human tumors sheds light on the ‘aneuploidy paradox’Semantic proximity Read

Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver mutations.Semantic proximity Read

Uncoupling of gene expression from copy number presents therapeutic opportunities in aneuploid cancersSemantic proximity Read

Copy number losses of oncogenes and gains of tumor suppressor genes generate common driver events of human cancerSemantic proximity Read

Identification of Drivers of Aneuploidy in Breast Tumors.Semantic proximity Read

Integrating gene expression, mutation and copy number data to identify driver genes of recurrent chromosome-arm lossesSemantic proximity Read

Profiling Numerical and Structural Chromosomal Instability in Different Cancer Types.Semantic proximity Read

Optimizing cancer immunotherapy response prediction by tumor aneuploidy score and fraction of copy number alterationsSemantic proximity Read

Hard wiring of normal tissue-specific chromosome-wide gene expression levels is an additional factor driving cancer type-specific aneuploidies.Semantic proximity Read