The mathematics of cancer: integrating quantitative models

PM Altrock, LL Liu, F Michor - Nature Reviews Cancer, 2015 - nature.com
Mathematical modelling approaches have become increasingly abundant in cancer
research. The complexity of cancer is well suited to quantitative approaches as it provides …

Punctuated copy number evolution and clonal stasis in triple-negative breast cancer

R Gao, A Davis, TO McDonald, E Sei, X Shi, Y Wang… - Nature …, 2016 - nature.com
Aneuploidy is a hallmark of breast cancer; however, knowledge of how these complex
genomic rearrangements evolve during tumorigenesis is limited. In this study, we developed …

Computational cancer biology: an evolutionary perspective

N Beerenwinkel, CD Greenman… - PLoS computational …, 2016 - journals.plos.org
Cancer is a leading cause of death worldwide and represents one of the biggest biomedical
research challenges of our time. Tumor progression is caused by somatic evolution of cell …

[HTML][HTML] Uncovering the subtype-specific disease module and the development of drug response prediction models for glioma

S Munquad, AB Das - Heliyon, 2024 - cell.com
The poor prognosis of glioma patients brought attention to the need for effective therapeutic
approaches for precision therapy. Here, we deployed algorithms relying on network …

An agent-based model of triple-negative breast cancer: the interplay between chemokine receptor CCR5 expression, cancer stem cells, and hypoxia

KA Norton, T Wallace, NB Pandey, AS Popel - BMC systems biology, 2017 - Springer
Background Triple-negative breast cancer lacks estrogen, progesterone, and HER2
receptors and is thus not possible to treat with targeted therapies for these receptors …

Targeted cancer therapy: vital oncogenes and a new molecular genetic paradigm for cancer initiation progression and treatment

RE Willis - International journal of molecular sciences, 2016 - mdpi.com
It has been declared repeatedly that cancer is a result of molecular genetic abnormalities.
However, there has been no working model describing the specific functional consequences …

On measuring selection in cancer from subclonal mutation frequencies

I Bozic, C Paterson, B Waclaw - PLoS computational biology, 2019 - journals.plos.org
Recently available cancer sequencing data have revealed a complex view of the cancer
genome containing a multitude of mutations, including drivers responsible for cancer …

LNDriver: identifying driver genes by integrating mutation and expression data based on gene-gene interaction network

PJ Wei, D Zhang, J **a, CH Zheng - BMC bioinformatics, 2016 - Springer
Background Cancer is a complex disease which is characterized by the accumulation of
genetic alterations during the patient's lifetime. With the development of the next-generation …

A critical discussion on diet, genomic mutations and repair mechanisms in colon carcinogenesis

JY Sakita, B Gasparotto, SB Garcia, SA Uyemura… - Toxicology letters, 2017 - Elsevier
Colon cancer is one of the most common malignancies and its etiology closely tied to dietary
habits. Recent epidemiological data shows that colon cancer incidence is shifting to a much …

Unraveling the role of low-frequency mutated genes in breast cancer

E Lusito, B Felice, G D'Ario, A Ogier, F Montani… - …, 2019 - academic.oup.com
Motivation Breast cancer is the most commonly diagnosed malignancy in women and the
second cause of cancer death in developed countries. While advancements in early …