A quantitative insight into metastatic relapse of breast cancer

DOI10.1016/j.jtbi.2016.01.014zbMath1343.92223OpenAlexW2285770408WikidataQ50728417 ScholiaQ50728417MaRDI QIDQ305598

Lyudmila V. Pavlova, Leonid G. Hanin

Publication date: 30 August 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2016.01.014

zbMATH Keywords

attribution probabilitymetastatic cascademetastatic dormancysurgery-induced acceleration of metastasis

Mathematics Subject Classification ID

Medical applications (general) (92C50)

Related Items (1)

Suppression of metastasis by primary tumor and acceleration of metastasis following primary tumor resection: A natural law?

Cites Work

• A ``universal model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastases
• A stochastic model for the sizes of detectable metastases
• Does extirpation of the primary breast tumor give boost to growth of metastases? Evidence revealed by mathematical modeling
• Uncovering the natural history of cancer from post-mortem cross-sectional diameters of hepatic metastases

This page was built for publication: A quantitative insight into metastatic relapse of breast cancer