Costa S, Terzano P, Bovicelli A, Martoni A, Angelelli B, Santini D, Ceccarelli C, Lipponen P, Erzén M, Syrjänen S, Syrjänen K
Department of Obstetrics and Gynecology, St. Orsola-Malpighi Hospital, Bologna, Italy.
Gynecol Oncol. 2001 Jan;80(1):67-73. doi: 10.1006/gyno.2000.6016.
Theclinical efficacy of neoadjuvant chemotherapy (NAC) in distinct groups of cervical cancer patients has been well documented, but parameters at the cellular level regulating the different responsiveness to this treatment have not been adequately explored.
A series of 21 patients with stage Ib and IIa bulky cervical carcinomas were treated by preoperative NAC with three courses of cisplatin, epirubicin, etoposide, and bleomycin prior to radical hysterectomy, and subsequently followed up for a mean of 52.3 months. Biopsies taken prior to NAC and operative specimens were subjected to immunohistochemical (IHC) staining for alpha-catenin, beta-catenin, E-cadherin, and CD44 isoform 6 (CD44v6), to uncover the role of adhesion molecules as determinants of the response to NAC and disease outcome.
Seven of the twenty-one (33.3%) women died of the disease; adenosquamous (n = 4 cases) histology (RR 4.50, 95% CI 1.85-10.68) and lymph node involvement (RR 6.00, 95% CI 0.42-85.26) were significant determinants of nonsurvival. All 21 carcinomas were human papillomavirus DNA positive. The factors predicting the response to NAC in univariate analysis were: CD44v6 expression in the pre-NAC and post-NAC samples (P = 0.00056 and P = 0.00336, respectively). In multiple logistic regression analysis, the factors with independent predictive value for response to NAC were CD44v6 expression prior to (P = 0.0099) and after (P = 0.0470) NAC. In univariate survival analysis, the most significant (P < 0. 001) predictors of recurrence-free survival (RFS) were age and number of lymph nodes removed. In multivariate survival analysis, the independent predictor for RFS was only histological type (P = 0. 0064). Overall survival (OS) was predicted in a Cox model by recurrence (P = 0.0033), CD44v6 expression after NAC (P = 0.013), and patient's age (P = 0.039).
These data indicate that CD44v6 is involved in the response to NAC, and eventually in disease outcome. This implicates that the assessment of CD44v6 expression might help in selecting patients who are likely to respond to NAC, i. e., women with significantly reduced CD44v6 expression in their tumors before treatment. Noteworthy, the response to NAC did not predict a favorable disease outcome.
新辅助化疗(NAC)在不同组宫颈癌患者中的临床疗效已有充分记录,但在细胞水平上调节对该治疗不同反应性的参数尚未得到充分研究。
对21例Ib期和IIa期巨块型宫颈癌患者在根治性子宫切除术前进行术前NAC治疗,采用顺铂、表柔比星、依托泊苷和博来霉素三个疗程,随后平均随访52.3个月。在NAC治疗前取活检组织,并对手术标本进行α - 连环蛋白、β - 连环蛋白、E - 钙黏蛋白和CD44异构体6(CD44v6)的免疫组织化学(IHC)染色,以揭示黏附分子作为NAC反应和疾病结局决定因素的作用。
21名女性中有7名(33.3%)死于该疾病;腺鳞癌(n = 4例)组织学类型(相对风险4.50,95%可信区间1.85 - 10.68)和淋巴结受累(相对风险6.00,95%可信区间0.42 - 85.26)是无生存的显著决定因素。所有21例癌组织中人乳头瘤病毒DNA均为阳性。单因素分析中预测对NAC反应的因素为:NAC治疗前和治疗后样本中的CD44v6表达(分别为P = 0.00056和P = 0.00336)。在多因素逻辑回归分析中,对NAC反应具有独立预测价值的因素是NAC治疗前(P = 0.0099)和治疗后(P = 0.0470)的CD44v6表达。单因素生存分析中,无复发生存(RFS)的最显著(P < 0.001)预测因素是年龄和切除淋巴结的数量。多因素生存分析中,RFS的独立预测因素仅为组织学类型(P = 0.0064)。在Cox模型中,总体生存(OS)由复发(P = 0.0033)、NAC治疗后CD44v6表达(P = 0.013)和患者年龄(P = 0.039)预测。
这些数据表明CD44v6参与了对NAC的反应,并最终影响疾病结局。这意味着评估CD44v6表达可能有助于选择可能对NAC有反应的患者,即治疗前肿瘤中CD44v6表达显著降低的女性。值得注意的是,对NAC的反应并不能预测良好的疾病结局。