Salmiheimo Aino, Mustonen Harri, Stenman Ulf-Håkan, Puolakkainen Pauli, Kemppainen Esko, Seppänen Hanna, Haglund Caj
Department of Surgery, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Department of Clinical Chemistry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
PLoS One. 2016 Sep 15;11(9):e0163064. doi: 10.1371/journal.pone.0163064. eCollection 2016.
Estimation of the prognosis of resectable pancreatic ductal adenocarcinoma (PDAC) currently relies on tumour-related factors such as resection margins and on lymph-node ratio (LNR) both inconveniently available only postoperatively. Our aim was to assess the accuracy of preoperative laboratory data in predicting PDAC prognosis.
Collection of laboratory and clinical data was retrospective from 265 consecutive patients undergoing surgery for PDAC at Helsinki University Hospital. Cancer-specific survival assessment utilized Kaplan-Meier analysis, and independent associations between factors were by the Cox regression model.
During follow-up, 76% of the patients died of PDAC, with a median survival time of 19.6 months. In univariate analysis, CRP, albumin, CEA, and CA19-9 were significantly associated with postoperative cancer-specific survival. In multivariate analysis, taking into account age, gender, LNR, resection margins, tumour status, and adjuvant chemotherapy, the preoperative biomarkers independently associated with adverse prognosis were hypoalbuminemia (< 36 g/L, hazard ratio (HR) 1.56, 95% confidence interval (CI) 1.10-2.19, p = 0.011), elevated CRP (> 5 mg/L, HR 1.44, 95% CI 1.03-2.02, p = 0.036), CEA (> 5 μg/L, HR 1.60, 95% CI 1.07-2.53, p = 0.047), and CA19-9 (≥555 kU/L, HR 1.91, 95% CI 1.18-3.08, p = 0.008).
For patients with resectable PDAC, preoperative CRP, along with albumin and tumour markers, is useful for predicting prognosis.
目前,可切除性胰腺导管腺癌(PDAC)预后的评估依赖于肿瘤相关因素,如手术切缘和淋巴结比率(LNR),而这些指标仅在术后才能获得,不太方便。我们的目的是评估术前实验室数据预测PDAC预后的准确性。
回顾性收集了赫尔辛基大学医院连续265例接受PDAC手术患者的实验室和临床数据。采用Kaplan-Meier分析评估癌症特异性生存率,通过Cox回归模型分析各因素之间的独立关联。
随访期间,76%的患者死于PDAC,中位生存时间为19.6个月。单因素分析中,CRP、白蛋白、CEA和CA19-9与术后癌症特异性生存率显著相关。多因素分析中,考虑到年龄、性别、LNR、手术切缘、肿瘤状态和辅助化疗,与不良预后独立相关的术前生物标志物为低白蛋白血症(<36 g/L,风险比(HR)1.56,95%置信区间(CI)1.10-2.19,p = 0.011)、CRP升高(>5 mg/L,HR 1.44, 95% CI 1.03-2.02,p = 0.036)、CEA(>5 μg/L,HR 1.60, 95% CI 1.07-2.53,p = 0.047)和CA19-9(≥555 kU/L,HR 1.91, 95% CI 1.18-3.08,p = 0.008)。
对于可切除性PDAC患者,术前CRP以及白蛋白和肿瘤标志物有助于预测预后。