Liu Chaoqun, Li Huiyao, Zhuo Ran, Wang Lijun, He Lihua, Ruan Qiqi, Luan Xiaoyi, Mo Xiujuan, Sun Yi
Department of Nutrition, School of Medicine, Jinan University, Guangzhou, Guangdong.
Department of Toxicology, Guangzhou Key Laboratory of Environmental Pollution and Health Risk Assessment, School of Public Health, Sun Yat-Sen University, Guangzhou.
Medicine (Baltimore). 2019 Jul;98(28):e16436. doi: 10.1097/MD.0000000000016436.
The prognostic value and conflicting results of metastatic lymph node ratio (mLNR) on breast cancer have aroused an increasing concern. We aimed to evaluate the imperative of mLNR classification and prognostic factors in breast cancer with molecular subtypes.This study uses the database of surveillance, epidemiology, and end results (SEER) to investigate the imperative for reliable mLNR classification and critical prognostic factors in breast cancer with different molecular subtypes.The prognostic characteristics for disease-specific survival (DSS) of breast cancer were investigated in the SEER cohort (n = 3651). mLNR (P = .017) and histology grade (P < .001) were independent factors. A novel grade-lymph node ratio (G-R) staging system was proposed for breast cancer prognosis. The receiver operating characteristic curves revealed that the G-R staging system had an accurate 1-, 3-, and 5-year DSS prediction. Further stratification analysis with molecular subtypes of breast cancer (Luminal and TNBC) first proved robust prognostic values of the G-R staging system among molecular subtypes.The current population-based cohort demonstrated the capacity of mLNR serving as a critical prognostic factor. Also, G-R staging system has the potential to be regarded as reliable classification for breast cancer patients with different molecular subtypes.
转移性淋巴结比率(mLNR)对乳腺癌的预后价值及相互矛盾的结果已引起越来越多的关注。我们旨在评估mLNR分类的必要性以及分子亚型乳腺癌的预后因素。本研究使用监测、流行病学和最终结果(SEER)数据库来探究可靠的mLNR分类的必要性以及不同分子亚型乳腺癌的关键预后因素。在SEER队列(n = 3651)中研究了乳腺癌疾病特异性生存(DSS)的预后特征。mLNR(P = 0.017)和组织学分级(P < 0.001)是独立因素。提出了一种用于乳腺癌预后的新的分级-淋巴结比率(G-R)分期系统。受试者工作特征曲线显示,G-R分期系统对1年、3年和5年DSS具有准确的预测能力。对乳腺癌分子亚型(Luminal型和三阴性乳腺癌(TNBC))进行的进一步分层分析首先证明了G-R分期系统在分子亚型中的强大预后价值。当前基于人群的队列证明了mLNR作为关键预后因素的能力。此外,G-R分期系统有可能被视为不同分子亚型乳腺癌患者的可靠分类方法。