Morohashi Satoko, Yoshizawa Tadashi, Seino Hiroko, Hirai Hideaki, Haga Toshihiro, Ota Rie, Wu Yunyan, Yoshida Eri, Hakamada Kenichi, Kijima Hiroshi
Department of Pathology and Bioscience, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036-8562, Japan.
Department of Radiology and Radiation Oncology, Hirosaki University Graduate School of Medicine, Hirosaki, Aomori 036-8562, Japan.
Oncol Rep. 2016 May;35(5):2592-8. doi: 10.3892/or.2016.4635. Epub 2016 Feb 25.
The indication for neoadjuvant chemotherapy (NAC) has recently broadened to include its use in the treatment of initial stage breast cancer. Axillary lymph node metastasis after NAC in breast cancer is a poor prognostic factor. Thus, the prediction of lymph node metastasis is important to estimate the prognosis of breast cancer patients after NAC. Therefore, we focused on residual carcinoma patterns of primary breast tumors after NAC and examined the correlation between the patterns and lymph node metastasis. In this study, we examined 50 breast cancer specimens and associated dissected lymph nodes after NAC. We divided 40 cases into an eradicated lymph node group and a residual lymph node group to analyze residual carcinoma patterns of primary breast tumors. Residual carcinoma patterns were classified according to the cell density of carcinoma cells: dense, focal/nested and sporadic/in-situ. There were significant differences in residual carcinoma patterns (P<0.01) among the three pattern groups. There was a high incidence of dense patterns in the residual lymph node group and a high incidence of sporadic/in-situ patterns in the eradicated lymph node group. Analysis of residual carcinoma patterns of primary breast tumors and clinicopathological factors demonstrated that there were significant differences in tumor reduced ratio on CT (P<0.001), primary tumor area before NAC (P<0.01), primary tumor area after NAC (P<0.00001), intrinsic subtype (P<0.01), Ki-67 labeling index (P<0.01), histological grade (P<0.05) and mitotic count (P<0.01) between the dense and non-dense groups. Therefore, our results suggest that the residual carcinoma pattern is useful for predicting eradicated or residual lymph nodes and the malignant potential in breast cancer after NAC.
新辅助化疗(NAC)的适应证最近已扩大,包括用于治疗早期乳腺癌。乳腺癌患者接受NAC后出现腋窝淋巴结转移是一个不良预后因素。因此,预测淋巴结转移对于评估NAC后乳腺癌患者的预后很重要。为此,我们聚焦于NAC后原发性乳腺肿瘤的残留癌模式,并研究了这些模式与淋巴结转移之间的相关性。在本研究中,我们检查了50例NAC后的乳腺癌标本及相关的解剖淋巴结。我们将40例病例分为淋巴结清除组和残留淋巴结组,以分析原发性乳腺肿瘤的残留癌模式。残留癌模式根据癌细胞的细胞密度分类:致密型、局灶/巢状型和散在/原位型。三个模式组之间的残留癌模式存在显著差异(P<0.01)。残留淋巴结组中致密型模式的发生率较高,而淋巴结清除组中散在/原位型模式的发生率较高。对原发性乳腺肿瘤的残留癌模式和临床病理因素的分析表明,致密型组与非致密型组在CT上的肿瘤缩小率(P<0.001)、NAC前的原发肿瘤面积(P<0.01)、NAC后的原发肿瘤面积(P<0.00001)、内在亚型(P<0.01)、Ki-67标记指数(P<0.01)、组织学分级(P<0.05)和有丝分裂计数(P<0.01)方面存在显著差异。因此,我们的结果表明,残留癌模式有助于预测NAC后乳腺癌的淋巴结清除或残留情况以及恶性潜能。