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乳腺癌异种移植中的肿瘤生长监测:一种强大伦理学的良好技术。

Tumor growth monitoring in breast cancer xenografts: A good technique for a strong ethic.

机构信息

COMPO, CRCM, INRIA Sophia Antipolis, INSERM UMR1068, CNRS UMR7258, AMU U105, IPC, Marseille, France.

SMARTc, CRCM, INSERM UMR1068, CNRS UMR7258, AMU U105, IPC, Marseille, France.

出版信息

PLoS One. 2022 Sep 30;17(9):e0274886. doi: 10.1371/journal.pone.0274886. eCollection 2022.

Abstract

PURPOSE

Although recent regulations improved conditions of laboratory animals, their use remains essential in cancer research to determine treatment efficacy. In most cases, such experiments are performed on xenografted animals for which tumor volume is mostly estimated from caliper measurements. However, many formulas have been employed for this estimation and no standardization is available yet.

METHODS

Using previous animal studies, we compared all formulas used by the scientific community in 2019. Data were collected from 93 mice orthotopically xenografted with human breast cancer cells. All formulas were evaluated and ranked based on correlation and lower mean relative error. They were then used in a Gompertz quantitative model of tumor growth.

RESULTS

Seven formulas for tumor volume estimation were identified and a statistically significant difference was observed among them (ANOVA test, p < 2.10-16), with the ellipsoid formula (1/6 π × L × W × (L + W)/2) being the most accurate (mean relative error = 0.272 ± 0.201). This was confirmed by the mathematical modeling analysis where this formula resulted in the smallest estimated residual variability. Interestingly, such result was no longer valid for tumors over 1968 ± 425 mg, for which a cubic formula (L x W x H) should be preferred.

MAIN FINDINGS

When considering that tumor volume remains under 1500mm3, to limit animal stress, improve tumor growth monitoring and go toward mathematic models, the following formula 1/6 π × L × W x (L + W)/2 should be preferred.

摘要

目的

尽管最近的法规改善了实验室动物的条件,但它们在癌症研究中仍然是确定治疗效果的必要手段。在大多数情况下,此类实验是在异种移植动物上进行的,肿瘤体积主要通过卡尺测量来估计。然而,目前已经有许多公式被用于这种估计,但是还没有标准化的方法。

方法

我们利用以前的动物研究,比较了 2019 年科学界使用的所有公式。从 93 只原位异种移植人乳腺癌细胞的小鼠中收集数据。根据相关性和较低的平均相对误差,对所有公式进行了评估和排序。然后,将它们用于肿瘤生长的戈珀特定量模型。

结果

确定了 7 种用于肿瘤体积估计的公式,并且观察到它们之间存在统计学显著差异(ANOVA 检验,p < 2.10-16),其中椭球公式(1/6 π × L × W × (L + W)/2)最为准确(平均相对误差= 0.272 ± 0.201)。数学建模分析证实了这一点,该公式导致估计的残差变异最小。有趣的是,对于超过 1968 ± 425mg 的肿瘤,这种结果不再有效,此时应优先选择立方公式(L x W x H)。

主要发现

当考虑到肿瘤体积仍小于 1500mm3 时,为了减轻动物的压力,改善肿瘤生长监测并采用数学模型,建议优先使用公式 1/6 π × L × W x (L + W)/2。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/906b/9524649/ebbe4bc915e9/pone.0274886.g001.jpg

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