Hong Ting-Ting, Shen Di, Chen Xiao-Ping, Wu Xiao-Hong, Hua Dong
Department of Medical Oncology, Affiliated Hospital of Jiangnan University and Wuxi 4th People's Hospital, Wuxi, Jiangsu 214062, China.
Chronic Dis Transl Med. 2016 Dec 22;2(4):241-249. doi: 10.1016/j.cdtm.2016.11.015. eCollection 2016 Dec.
A large portion of non-metastatic colorectal cancers (non-mCRCs) recur after curative surgery. In addition to the traditional tumor-related factors, host-related factors are also required to accurately predict prognosis. A few studies have shown an association between the serum lipid profile and the survival and treatment response of patients with colorectal cancer.
We retrospectively evaluated the prognostic significance of the preoperative serum lipid profile [total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C)] in patients with non-mCRC treated with curative surgery. The Spearman rank correlation test was used to analyze associations between lipid levels and categorical variables. Lipid levels were modeled as four equal-sized quartiles based on the distribution among the whole cohort. Kaplan-Meier curves were used to estimate survival probabilities, and the log-rank test was used to detect differences between them. Multivariate fractional polynomial (MFP) analysis was used to model any non-linear effects and avoid categorization. To evaluate the added prognostic value of lipids, the predictive power of two models (with and without lipids as covariates) was compared by using Harrell's C-statistic and the Akaike information criterion (AIC).
A total of 266 patients with non-mCRC were enrolled in the present study. Spearman rank correlation test showed that TG levels inversely correlated with N stage ( = -0.20, = 0.00) and Tumor-Node-Metastasis (TNM) stage ( = -0.19, = 0.00). HDL-C levels positively correlated with perineural invasion (PNI) ( = 0.15, = 0.02), and LDL-C levels inversely correlated with lymphovascular invasion (LVI) ( = -0.12, = 0.04). None of the four lipids predicted overall survival (OS) in univariate or multivariate analyses adjusted for age, gender, T stage, N stage, TNM stage, histological grade, tumor deposits, LVI, PNI, and adjuvant treatment (all > 0.05). In agreement, the Kaplan-Meier curves for OS according to the lipid quartiles were not significantly different, as confirmed by the log-rank test (all > 0.05). MFP analysis also found no significant associations between lipid levels and OS (all > 0.05). A prognostic model that included lipids had a higher Harrell's C-statistic and a lower AIC value than did a model that did not include lipids (for Harrell's C-statistic: 0.82 . 0.77; for AIC: 398 . 432).
Measuring preoperative serum lipid levels may be a simple and cost-effective way of increasing prognostic accuracy in patients with non-mCRC treated with curative surgery.
大部分非转移性结直肠癌(non-mCRC)在根治性手术后会复发。除了传统的肿瘤相关因素外,还需要宿主相关因素来准确预测预后。一些研究表明血清脂质谱与结直肠癌患者的生存及治疗反应之间存在关联。
我们回顾性评估了接受根治性手术治疗的non-mCRC患者术前血清脂质谱[总胆固醇(TC)、甘油三酯(TG)、低密度脂蛋白胆固醇(LDL-C)和高密度脂蛋白胆固醇(HDL-C)]的预后意义。采用Spearman秩相关检验分析脂质水平与分类变量之间的关联。根据整个队列中的分布情况,将脂质水平建模为四个等大小的四分位数。使用Kaplan-Meier曲线估计生存概率,并使用对数秩检验检测它们之间的差异。采用多变量分数多项式(MFP)分析对任何非线性效应进行建模并避免分类。为了评估脂质的额外预后价值,通过使用Harrell's C统计量和赤池信息准则(AIC)比较了两个模型(有和没有脂质作为协变量)的预测能力。
本研究共纳入266例non-mCRC患者。Spearman秩相关检验显示,TG水平与N分期(r = -0.20,P = 0.00)和肿瘤-淋巴结-转移(TNM)分期(r = -0.19,P = 0.00)呈负相关。HDL-C水平与神经周围侵犯(PNI)呈正相关(r = 0.15,P = 0.02),LDL-C水平与淋巴管侵犯(LVI)呈负相关(r = -0.12,P = 0.04)。在针对年龄、性别、T分期、N分期、TNM分期、组织学分级、肿瘤沉积物、LVI、PNI和辅助治疗进行调整的单变量或多变量分析中,这四种脂质均未预测总生存期(OS)(所有P>0.05)。同样,根据脂质四分位数绘制的OS的Kaplan-Meier曲线无显著差异,对数秩检验证实了这一点(所有P>0.05)。MFP分析也未发现脂质水平与OS之间存在显著关联(所有P>0.05)。与不包含脂质的模型相比,包含脂质的预后模型具有更高的Harrell's C统计量和更低的AIC值(对于Harrell's C统计量:0.82对0.77;对于AIC:398对432)。
测量术前血清脂质水平可能是提高接受根治性手术治疗的non-mCRC患者预后准确性的一种简单且经济有效的方法。