Aas T, Geisler S, Eide G E, Haugen D F, Varhaug J E, Bassøe A M, Thorsen T, Berntsen H, Børresen-Dale A L, Akslen L A, Lønning P E
Department of Surgery, Haukeland University Hospital, N-5021 Bergen, Norway.
Eur J Cancer. 2003 Mar;39(4):438-46. doi: 10.1016/s0959-8049(02)00732-3.
We previously reported that defects in apoptotic pathways (mutations in the TP53 gene) predicted resistance to doxorubicin monotherapy. The aim of this study was to evaluate whether cell proliferation, as assessed by mitotic frequency and Ki-67 levels, may provide additional predictive information in the same tumours and to assess any potential correlations between these markers and mutations in the TP53 gene and erbB-2 overexpression. Surgical specimens were obtained from ninety locally advanced breast cancers before commencing primary chemotherapy consisting of weekly doxorubicin (14 mg/m2) for 16 weeks. 38% of the patients had a partial response (PR) to therapy, 52% had stable disease (SD) while 10% had progressive disease (PD). Univariate analysis showed a significant association between a high cell proliferation rate (expressed as a high mitotic frequency) and resistance to doxorubicin (P = 0.001). Further analyses revealed this association to be limited to the subgroup of tumour expressing wild-type TP53 (P = 0.016), and TP53 mutation status was the only factor predicting drug resistance in the multivariate analyses. The finding that a high mitotic frequency, as well as a high Ki-67 staining, correlated to TP53 mutations (P = 0.001 for both), suggests TP53 mutations are the key predictor of drug resistance, although cell proliferation may play an additional role in tumours harbouring wild-type TP53. Regarding overall (OS) and relapse-free survival (RFS), multivariate analyses (Cox' proportional hazards regression) revealed a high histological grade and negative oestrogen receptor (ER) status to be the variables that were most strongly related to breast cancer death (P = 0.001 and P = 0.001, respectively). A key reason for this difference with respect to the factors predicting chemotherapy resistance could be due to the adjuvant use of tamoxifen in all patients harbouring ER-positive tumours.
我们之前报道过,凋亡途径缺陷(TP53基因中的突变)预示着对阿霉素单一疗法耐药。本研究的目的是评估通过有丝分裂频率和Ki-67水平评估的细胞增殖,是否能在相同肿瘤中提供额外的预测信息,并评估这些标志物与TP53基因突变及erbB-2过表达之间的潜在相关性。在开始由每周阿霉素(14mg/m²)组成的16周原发性化疗之前,从90例局部晚期乳腺癌患者中获取手术标本。38%的患者对治疗有部分缓解(PR),52%疾病稳定(SD),而10%疾病进展(PD)。单因素分析显示高细胞增殖率(以高有丝分裂频率表示)与对阿霉素耐药之间存在显著关联(P = 0.001)。进一步分析表明这种关联仅限于表达野生型TP53的肿瘤亚组(P = 0.016),并且在多因素分析中TP53突变状态是预测耐药的唯一因素。高有丝分裂频率以及高Ki-67染色与TP53突变相关(两者P均 = 0.001)这一发现表明,TP53突变是耐药的关键预测指标,尽管细胞增殖可能在携带野生型TP53的肿瘤中起额外作用。关于总生存期(OS)和无复发生存期(RFS),多因素分析(Cox比例风险回归)显示高组织学分级和雌激素受体(ER)阴性状态是与乳腺癌死亡最密切相关的变量(分别为P = 0.001和P = 0.001)。相对于预测化疗耐药的因素,出现这种差异的一个关键原因可能是所有ER阳性肿瘤患者均辅助使用了他莫昔芬。