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乳腺癌原发肿瘤和继发远处转移的综合数学生长模型(CoMPaS)。

Consolidated mathematical growth model of the primary tumor and secondary distant metastases of breast cancer (CoMPaS).

机构信息

International Laboratory for Intelligent Systems and Structural Analysis, Faculty of Computer science, National Research University Higher School of Economics, Moscow, Russia.

出版信息

PLoS One. 2018 Jul 6;13(7):e0200148. doi: 10.1371/journal.pone.0200148. eCollection 2018.

Abstract

The goal of this research is to improve the accuracy of predicting the breast cancer (BC) process using the original mathematical model referred to as CoMPaS. The CoMPaS is the original mathematical model and the corresponding software built by modelling the natural history of the primary tumor (PT) and secondary distant metastases (MTS), it reflects the relations between the PT and MTS. The CoMPaS is based on an exponential growth model and consists of a system of determinate nonlinear and linear equations and corresponds to the TNM classification. It allows us to calculate the different growth periods of PT and MTS: 1) a non-visible period for PT, 2) a non-visible period for MTS, and 3) a visible period for MTS. The CoMPaS has been validated using 10-year and 15-year survival clinical data considering tumor stage and PT diameter. The following are calculated by CoMPaS: 1) the number of doublings for the non-visible and visible growth periods of MTS and 2) the tumor volume doubling time (days) for the non-visible and visible growth periods of MTS. The diameters of the PT and secondary distant MTS increased simultaneously. In other words, the non-visible growth period of the secondary distant MTS shrinks, leading to a decrease of the survival of patients with breast cancer. The CoMPaS correctly describes the growth of the PT for patients at the T1aN0M0, T1bN0M0, T1cN0M0, T2N0M0 and T3N0M0 stages, who does not have MTS in the lymph nodes (N0). Additionally, the CoMPaS helps to consider the appearance and evolution period of secondary distant MTS (M1). The CoMPaS correctly describes the growth period of PT corresponding to BC classification (parameter T), the growth period of secondary distant MTS and the 10-15-year survival of BC patients considering the BC stage (parameter M).

摘要

这项研究的目的是使用原始数学模型 CoMPaS 提高预测乳腺癌 (BC) 进程的准确性。CoMPaS 是原始数学模型和相应的软件,通过对原发肿瘤 (PT) 和继发远处转移 (MTS) 的自然史进行建模而建立,它反映了 PT 和 MTS 之间的关系。CoMPaS 基于指数增长模型,由一组确定的非线性和线性方程组组成,对应于 TNM 分类。它允许我们计算 PT 和 MTS 的不同生长周期:1) PT 的不可见周期,2) MTS 的不可见周期,和 3) MTS 的可见周期。CoMPaS 已使用考虑肿瘤分期和 PT 直径的 10 年和 15 年生存临床数据进行了验证。CoMPaS 计算以下内容:1) MTS 的不可见和可见生长周期的倍增数,和 2) MTS 的不可见和可见生长周期的肿瘤体积倍增时间 (天)。PT 和继发性远处 MTS 的直径同时增加。换句话说,继发性远处 MTS 的不可见生长周期缩小,导致乳腺癌患者的生存率下降。CoMPaS 正确描述了 T1aN0M0、T1bN0M0、T1cN0M0、T2N0M0 和 T3N0M0 分期且淋巴结 (N0) 中没有 MTS 的患者 PT 的生长。此外,CoMPaS 有助于考虑继发性远处 MTS (M1) 的出现和演变周期。CoMPaS 正确描述了对应于 BC 分类 (参数 T) 的 PT 生长周期、继发性远处 MTS 的生长周期以及考虑 BC 分期 (参数 M) 的 BC 患者的 10-15 年生存率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db30/6034839/b986458fb55b/pone.0200148.g001.jpg

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