The natural history of renal cell carcinoma with pulmonary metastases illuminated through mathematical modeling

DOI10.1016/J.MBS.2019.01.008zbMath1409.92115OpenAlexW2912997053WikidataQ91291322 ScholiaQ91291322MaRDI QIDQ669201

Burkhard Jandrig, Karen Seidel, Leonid G. Hanin, Lyudmila V. Pavlova

Publication date: 20 March 2019

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2019.01.008

zbMATH Keywords

maximum likelihoodPoisson processsurgerymetastatic latencyrenal cell carcinomaprimary tumor

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Medical applications (general) (92C50)

Related Items (1)

The circulation stage of the metastatic cascade: a mathematical description and its clinical implications

Cites Work

• Unnamed Item
• A ``universal model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastases
• Suppression of metastasis by primary tumor and acceleration of metastasis following primary tumor resection: A natural law?
• Identification problem for stochastic models with application to carcinogenesis, cancer detection and radiation biology
• 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
• Reconstruction of the natural history of metastatic cancer and assessment of the effects of surgery: Gompertzian growth of the primary tumor
• Uncovering the natural history of cancer from post-mortem cross-sectional diameters of hepatic metastases

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