Dass Tufale A, Rakesh Sharma, Prakash K Patil, Singh Chandraveer
Surgical Oncology Department, Bombay Hospital & Medical Research Centre, Doctors quarters, MRC Building, Room no 725, New-marine lines-12, Mumbai, 400020 India.
Indian J Surg Oncol. 2015 Dec;6(4):346-51. doi: 10.1007/s13193-015-0424-x. Epub 2015 Jul 24.
To evaluate the correlation of various clinic-pathological variables with axillary nodal involvement in T1 breast cancer & to identify a sub-group of T1 cancers, on the basis of observed variables, with a low risk of axillary nodal metastases. Clinico-pathological variables observed included tumor size, lymphovascular invasion (LVI), histological grade of tumor, tumor palpability, estrogen/progesterone (ER/PR) & her2/neu receptors, age, family history, histological type of tumor, axillary nodal metastases for 100 patients without clinically palpable nodes who underwent axillary lymph node dissection in Bombay Hospital & Medical Research Center from March, 2009. Data compiled was analyzed by univariate & multivariate analysis. All the variables viz. tumor size, LVI, histological grade, tumor palpability & ER/PR/Her2 receptor profile, which were found to be significantly associated with axillary lymph node involvement (ALNI) on univariate analysis were also found to be independent predictors of ALNI on multivariate analysis. Age of the patient, family history & histological type of tumor were not significantly correlated with ALNI. None of the 12 patients with tumor biomarker profile of T1a-b tumors without LVI & with histological grade I, had ALNI. The risk of ALNI can be predicted by using various tumor biomarker variables. Based on the predicted risk of ALNI, the management strategy for axilla can be individualized. The omission of operative axillary staging may be considered in patients with low predictive risk of ALNI.
评估T1期乳腺癌的各种临床病理变量与腋窝淋巴结受累情况的相关性,并根据观察到的变量识别出一组腋窝淋巴结转移风险较低的T1期癌症亚组。观察的临床病理变量包括肿瘤大小、淋巴管浸润(LVI)、肿瘤组织学分级、肿瘤可触及性、雌激素/孕激素(ER/PR)及人表皮生长因子受体2/神经(her2/neu)受体、年龄、家族史、肿瘤组织学类型。对2009年3月至在孟买医院及医学研究中心接受腋窝淋巴结清扫术的100例无临床可触及淋巴结的患者的腋窝淋巴结转移情况进行了研究。对收集的数据进行单因素和多因素分析。所有变量,即肿瘤大小、LVI、组织学分级、肿瘤可触及性及ER/PR/Her2受体情况,在单因素分析中发现与腋窝淋巴结受累(ALNI)显著相关,在多因素分析中也被发现是ALNI的独立预测因素。患者年龄、家族史及肿瘤组织学类型与ALNI无显著相关性。12例肿瘤生物标志物特征为T1a - b期肿瘤、无LVI且组织学分级为I级的患者均无ALNI。可通过使用各种肿瘤生物标志物变量预测ALNI风险。根据预测的ALNI风险,腋窝的处理策略可个体化。对于ALNI预测风险较低的患者,可考虑省略手术腋窝分期。