Santos Marta, Dias-Pereira Patrícia, Correia-Gomes Carla, Marcos Ricardo, de Matos Augusto, Rocha Eduardo, Lopes Carlos
Department of Microscopy, Laboratory of Histology and Embryology, ICBAS - UPorto, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
Department of Pathology and Molecular Immunology, ICBAS - UPorto, Institute of Biomedical Sciences Abel Salazar, University of Porto, Porto, Portugal.
APMIS. 2017 Sep;125(9):833-839. doi: 10.1111/apm.12717. Epub 2017 Jun 6.
Grading of canine mammary carcinomas (CMC) is associated to subjective assessments made by the pathologists. Due to its unbiased nature, stereology can be used to objectively quantify morphological parameters associated with grading and malignancy. However, the use of stereology in CMC has not been fully disclosed. The nuclear numerical density [N (nuclei, tumor)] is a cellularity-associated parameter that can be estimated by the optical disector. Herein, it was estimated in 44 CMC and its association with clinicopathologic factors - such as tumor size, histological subtype and grade, vascular/lymph node invasion, nuclear pleomorphism, and survival - was evaluated. Considering all the cases, the mean N (nuclei, tumor) was 1.6 × 10 ± 0.5 × 10 nuclei/mm . Lower values were attained in complex carcinomas, comparing to simple carcinomas, in tumors smaller than 5 cm, with low mitotic activity and in those with high nuclear pleomorphism. No statistically significant association with grade or vascular/lymph node invasion was observed, but tumors with disease progression had lower nuclear densities. The N (nuclei, tumor) and the correlated parameters mirror to some extension those in human breast cancer, suggesting an interesting interspecies agreement. This first estimation of the nuclear numerical density in CMC highlights the feasibility of the optical disector and their utility for objective morphological assessments in CMC. The association between nuclear numerical density and disease progression warrants future studies.
犬乳腺肿瘤（CMC）的分级与病理学家的主观评估有关。由于体视学具有无偏性，因此可用于客观量化与分级和恶性程度相关的形态学参数。然而，体视学在CMC中的应用尚未得到充分揭示。核数密度[N（细胞核，肿瘤）]是一个与细胞密度相关的参数，可通过光学分割器进行估计。在此，对44例CMC进行了核数密度估计，并评估了其与临床病理因素（如肿瘤大小、组织学亚型和分级、血管/淋巴结侵犯、核异型性和生存率）之间的关联。综合所有病例，平均N（细胞核，肿瘤）为1.6×10±0.5×10个细胞核/mm。与单纯癌相比，复杂癌、肿瘤小于5 cm、有丝分裂活性低以及核异型性高的肿瘤核数密度较低。未观察到与分级或血管/淋巴结侵犯有统计学意义的关联，但疾病进展的肿瘤核密度较低。N（细胞核，肿瘤）及其相关参数在一定程度上反映了人类乳腺癌的情况，提示了有趣的种间一致性。首次对CMC的核数密度进行估计，突出了光学分割器的可行性及其在CMC客观形态学评估中的实用性。核数密度与疾病进展之间的关联值得未来进一步研究。
