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犬乳腺肿瘤中低基质肥大细胞密度预示预后不良。

Low Stromal Mast Cell Density in Canine Mammary Gland Tumours Predicts a Poor Prognosis.

作者信息

Ariyarathna H, Thomson N, Aberdein D, Munday J S

机构信息

School of Veterinary Science, Massey University, Palmerston North, New Zealand.

School of Veterinary Science, Massey University, Palmerston North, New Zealand.

出版信息

J Comp Pathol. 2020 Feb;175:29-38. doi: 10.1016/j.jcpa.2019.12.004. Epub 2020 Jan 20.

Abstract

Tumour histological classification and grade are frequently used to predict the prognosis of canine mammary gland tumours. While these techniques provide some information about tumour behaviour, it is currently difficult to predict which tumours will metastasize. Mast cell density has been shown to predict metastasis in human breast cancer. The present study investigated whether the average mast cell density in 10 high-power (×400) microscopical fields (10 HPFs), evaluated by toluidine blue staining, similarly predicted the behaviour of canine mammary gland tumours. Mast cell density was evaluated in 53 canine mammary neoplasms for which the clinical outcome was known. Stromal mast cell density in malignant tumours that had subsequently developed radiographical evidence of metastasis (n = 21) was significantly lower (P <0.001) than in malignant tumours that did not show evidence of metastases (n = 20) or in benign tumours (n = 12). The density of stromal mast cells that best predicted the disease outcome was ≤10/10 HPFs. Eighty-one percent of malignant tumours with ≤10 stromal mast cells/10 HPFs subsequently metastasized, while only 9.5% of malignant tumours with >10 stromal mast cells/10 HPFs developed metastases. There was a positive correlation between stromal mast cell density and survival time (r = 0.50, P <0.001). These findings suggest that assessing stromal mast cell density using toluidine blue staining may represent an easy to perform and cost-effective histopathological measure that, in conjunction with classification and grading, could better predict the behaviour of canine mammary neoplasms.

摘要

肿瘤组织学分类和分级常用于预测犬乳腺肿瘤的预后。虽然这些技术能提供一些关于肿瘤行为的信息,但目前很难预测哪些肿瘤会发生转移。肥大细胞密度已被证明可预测人类乳腺癌的转移情况。本研究调查了通过甲苯胺蓝染色评估的10个高倍(×400)显微镜视野(10 HPFs)中的平均肥大细胞密度是否同样能预测犬乳腺肿瘤的行为。对53例已知临床结局的犬乳腺肿瘤进行了肥大细胞密度评估。随后出现影像学转移证据的恶性肿瘤(n = 21)中的基质肥大细胞密度显著低于未显示转移证据的恶性肿瘤(n = 20)或良性肿瘤(n = 12)(P <0.001)。最能预测疾病结局的基质肥大细胞密度≤10/10 HPFs。基质肥大细胞≤10个/10 HPFs的恶性肿瘤中,81%随后发生了转移,而基质肥大细胞>10个/10 HPFs的恶性肿瘤中只有9.5%发生了转移。基质肥大细胞密度与生存时间呈正相关(r = 0.50,P <0.001)。这些发现表明,使用甲苯胺蓝染色评估基质肥大细胞密度可能是一种易于实施且具有成本效益的组织病理学测量方法,与分类和分级相结合,可以更好地预测犬乳腺肿瘤的行为。

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