The Risk Function of Breast and Ovarian Cancers in the Avrami–Dobrzyński Cellular Phase-Transition Model

Author:

Zawadzka Anna1ORCID,Brzozowska Beata2ORCID,Matyjanka Anna3,Mikula Michał1ORCID,Reszczyńska Joanna4ORCID,Tartas Adrianna2,Fornalski Krzysztof W.35ORCID

Affiliation:

1. Maria Skłodowska-Curie National Research Institute of Oncology (NIO-MSCI), 02-781 Warsaw, Poland

2. Faculty of Physics, University of Warsaw, 02-093 Warsaw, Poland

3. Faculty of Physics, Warsaw University of Technology, 00-662 Warsaw, Poland

4. Mossakowski Medical Research Institute, Polish Academy of Sciences (IMDiK PAN), 02-106 Warsaw, Poland

5. National Centre for Nuclear Research (NCBJ), 05-400 Otwock-Świerk, Poland

Abstract

Specifying the role of genetic mutations in cancer development is crucial for effective screening or targeted treatments for people with hereditary cancer predispositions. Our goal here is to find the relationship between a number of cancerogenic mutations and the probability of cancer induction over the lifetime of cancer patients. We believe that the Avrami–Dobrzyński biophysical model can be used to describe this mechanism. Therefore, clinical data from breast and ovarian cancer patients were used to validate this model of cancer induction, which is based on a purely physical concept of the phase-transition process with an analogy to the neoplastic transformation. The obtained values of model parameters established using clinical data confirm the hypothesis that the carcinogenic process strongly follows fractal dynamics. We found that the model’s theoretical prediction and population clinical data slightly differed for patients with the age below 30 years old, and that might point to the existence of an ancillary protection mechanism against cancer development. Additionally, we reveal that the existing clinical data predict breast or ovarian cancers onset two years earlier for patients with BRCA1/2 mutations.

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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