Targeting tumor heterogeneity with neoantigen-based cancer vaccines
Neoantigen-based cancer vaccines have emerged as a promising immunotherapeutic
approach to treat cancer. Nevertheless, the high degree of heterogeneity in tumors poses a …
approach to treat cancer. Nevertheless, the high degree of heterogeneity in tumors poses a …
Towards multi-omics characterization of tumor heterogeneity: a comprehensive review of statistical and machine learning approaches
The multi-omics molecular characterization of cancer opened a new horizon for our
understanding of cancer biology and therapeutic strategies. However, a tumor biopsy …
understanding of cancer biology and therapeutic strategies. However, a tumor biopsy …
Joint inference of exclusivity patterns and recurrent trajectories from tumor mutation trees
Cancer progression is an evolutionary process shaped by both deterministic and stochastic
forces. Multi-region and single-cell sequencing of tumors enable high-resolution …
forces. Multi-region and single-cell sequencing of tumors enable high-resolution …
Discovering significant evolutionary trajectories in cancer phylogenies
L Pellegrina, F Vandin - Bioinformatics, 2022 - academic.oup.com
Motivation Tumors are the result of a somatic evolutionary process leading to substantial
intra-tumor heterogeneity. Single-cell and multi-region sequencing enable the detailed …
intra-tumor heterogeneity. Single-cell and multi-region sequencing enable the detailed …
A picture guide to cancer progression and monotonic accumulation models: evolutionary assumptions, plausible interpretations, and alternative uses
R Diaz-Uriarte - arXiv preprint arXiv:2312.06824, 2023 - arxiv.org
Cancer progression and monotonic accumulation models were developed to discover
dependencies in the irreversible acquisition of binary traits from cross-sectional data. They …
dependencies in the irreversible acquisition of binary traits from cross-sectional data. They …
Modeling and predicting cancer clonal evolution with reinforcement learning
S Ivanovic, M El-Kebir - Genome Research, 2023 - genome.cshlp.org
Cancer results from an evolutionary process that typically yields multiple clones with varying
sets of mutations within the same tumor. Accurately modeling this process is key to …
sets of mutations within the same tumor. Accurately modeling this process is key to …
Detecting evolutionary patterns of cancers using consensus trees
S Christensen, J Kim, N Chia, O Koyejo… - …, 2020 - academic.oup.com
Motivation While each cancer is the result of an isolated evolutionary process, there are
repeated patterns in tumorigenesis defined by recurrent driver mutations and their temporal …
repeated patterns in tumorigenesis defined by recurrent driver mutations and their temporal …
Identification of conserved evolutionary trajectories in tumors
Motivation As multi-region, time-series and single-cell sequencing data become more widely
available; it is becoming clear that certain tumors share evolutionary characteristics with …
available; it is becoming clear that certain tumors share evolutionary characteristics with …
Joint inference of repeated evolutionary trajectories and patterns of clonal exclusivity or co-occurrence from tumor mutation trees
Cancer progression is an evolutionary process shaped by both deterministic and stochastic
forces. Recent advances in multi-region sequencing, single-cell sequencing, and …
forces. Recent advances in multi-region sequencing, single-cell sequencing, and …
Emerging topics in cancer evolution
Cancer results from an evolutionary process that yields a heterogeneous tumor with distinct
subpopulations and varying sets of somatic mutations. This perspective discusses …
subpopulations and varying sets of somatic mutations. This perspective discusses …