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Full-Text Articles in Medicine and Health Sciences
Heuristic Modeling Of Carcinogenesis For The Population With Dichotomous Susceptibility To Cancer: A Pancreatic Cancer Example., Tengiz Mdzinarishvili, Simon Sherman
Heuristic Modeling Of Carcinogenesis For The Population With Dichotomous Susceptibility To Cancer: A Pancreatic Cancer Example., Tengiz Mdzinarishvili, Simon Sherman
Journal Articles: Eppley Institute
At present, carcinogenic models imply that all individuals in a population are susceptible to cancer. These models either ignore a fall of the cancer incidence rate at old ages, or use some poorly identifiable parameters for its accounting. In this work, a new heuristic model is proposed. The model assumes that, in a population, only a small fraction (pool) of individuals is susceptible to cancer and decomposes the problem of the carcinogenic modeling on two sequentially solvable problems: (i) determination of the age-specific hazard rate in individuals susceptible to cancer (individual hazard rate) from the observed hazard rate in the …
Breast Cancer Incidence In Black And White Women Stratified By Estrogen And Progesterone Receptor Statuses., Michael X. Gleason, Tengiz Mdzinarishvili, Simon Sherman
Breast Cancer Incidence In Black And White Women Stratified By Estrogen And Progesterone Receptor Statuses., Michael X. Gleason, Tengiz Mdzinarishvili, Simon Sherman
Journal Articles: Eppley Institute
BACKGROUND: There is increasing evidence that breast cancer is a heterogeneous disease presented by different phenotypes and that white women have a higher breast cancer incidence rate, whereas black women have a higher mortality rate. It is also well known that white women have lower incidence rates than black women until approximately age 40, when rate curves cross over and white women have higher rates. The goal of this study was to validate the risk of white and black women to breast cancer phenotypes, stratified by statuses of the estrogen (ER) and progesterone (PR) receptors.
METHODOLOGY/PRINCIPAL FINDINGS: SEER17 data were …