Discipline of Management, Legislation and Communication in Dental Medicine, Discipline of Ergonomics and Oral Diagnosis, Faculty of Dental Medicine, Victor Babeş University of Medicine and Pharmacy, Timişoara, Romania;
Rom J Morphol Embryol. 2022 Jan-Mar;63(1):129-135. doi: 10.47162/RJME.63.1.13.
Breast cancer (BrCa) is the most frequent neoplastic disease in female, with high morbidity and mortality. Most of the researches were focused on tumor cells concerning their natural evolution, molecular profile, and potential response to therapy. Few and uncertain data are available about the tumor microenvironment and its impact on the progression of the disease. Mast cells (MCs) associated to BrCa have been reported many years ago, but their real and specific role in the biology of this disease remained elusive. In the current study, we have investigated the predictive role of MCs from the primary tumor on lymph node metastasis on patients stratified based on the molecular classification. We investigated 156 patients with BrCa, stratified as luminal A, luminal B, human epidermal growth factor receptor 2 (HER2) type, basal-like, and unclassified. MCs were identified with anti-MC tryptase antibody in a double immunohistochemical reaction combined with anti-cluster of differentiation 34 (CD34) antibody. Mast cell density (MCD) was calculated based on the hot-spot method, on three fields with maximum density of MCs in each case. The final result was the arithmetic media that was compared with the molecular profile and lymph node metastases. We found no significant correlation between MCD and the molecular profile of the primary tumor, but we noticed a strong correlation between intratumor MCD and lymph node metastases, regardless of the molecular type.
乳腺癌(BrCa)是女性最常见的肿瘤疾病,具有高发病率和死亡率。大多数研究都集中在肿瘤细胞上,关注它们的自然演变、分子特征和对治疗的潜在反应。关于肿瘤微环境及其对疾病进展的影响的数据很少且不确定。多年前就已经报道了与 BrCa 相关的肥大细胞(MCs),但它们在这种疾病生物学中的真正和特定作用仍然难以捉摸。在本研究中,我们根据分子分类对患者进行分层,调查了来自原发性肿瘤的 MCs 对淋巴结转移的预测作用。我们研究了 156 名 BrCa 患者,分为 luminal A、luminal B、人表皮生长因子受体 2(HER2)型、基底样和未分类。使用抗 MC 类胰蛋白酶抗体在双重免疫组织化学反应中结合抗分化簇 34(CD34)抗体来识别 MCs。根据热点法,在每个病例中 MCs 密度最大的三个区域计算肥大细胞密度(MCD)。最终结果是算术平均值,并与分子特征和淋巴结转移进行了比较。我们没有发现 MCD 与原发性肿瘤的分子特征之间存在显著相关性,但我们注意到肿瘤内 MCD 与淋巴结转移之间存在很强的相关性,而与分子类型无关。