Deshpande G U, Rai Ramji
Reader, Department of Pathology, Armed Forces Medical College, Pune 411 040.
Professor and Head, Department of Pathology, Armed Forces Medical College, Pune 411 040.
Med J Armed Forces India. 1999 Apr;55(2):129-132. doi: 10.1016/S0377-1237(17)30268-X. Epub 2017 Jun 26.
For many years axillary lymph nodes metastasis was the most important prognostic factor to predict the overall and disease free survival and guided the oncologists for institution of chemotherapy in breast cancer cases. However this factor alone or in combination with other parameters like, age of the patient, tumour size, histological type and tumour grade failed to predict the prognosis accurately in number of these cases. In pursuit to achieve the perfection, many new parameters which are biological or molecular in nature have been discovered. It is claimed that these factors not only have the capability to predict the prognosis but are also able to identify 'high risk' group of patients. However analysing all these parameters in a given case is not only cost prohibitive but also not essential. In order to solve this problem few important biological parameters have been reviewed, which are considered to cover all the important facets of the breast cancer. The parameters reviewed are ER, PR, S phase fraction, DNA ploidy, MIB-1 antibody, p53, C-erb-2, nm23, Cathepsin, Topoisomerase II alpha.
多年来,腋窝淋巴结转移一直是预测乳腺癌患者总生存期和无病生存期的最重要预后因素,并指导肿瘤学家对乳腺癌患者进行化疗。然而,仅这一因素或与其他参数(如患者年龄、肿瘤大小、组织学类型和肿瘤分级)相结合,在许多此类病例中并不能准确预测预后。为了追求完美,人们发现了许多本质上是生物学或分子学的新参数。据称,这些因素不仅能够预测预后,还能够识别“高危”患者群体。然而,在一个给定的病例中分析所有这些参数不仅成本高昂,而且也没有必要。为了解决这个问题,我们回顾了一些重要的生物学参数,这些参数被认为涵盖了乳腺癌的所有重要方面。所回顾的参数包括雌激素受体(ER)、孕激素受体(PR)、S期细胞分数、DNA倍体、MIB-1抗体、p53、C-erb-2、nm23、组织蛋白酶、拓扑异构酶IIα。