Division of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, Colorado.
Department of Hepatobiliary and Pancreatic Surgery, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Ariake, Tokyo, Japan.
Ann Surg. 2022 Jan 1;275(1):175-181. doi: 10.1097/SLA.0000000000003859.
To identify objective preoperative prognostic factors that are able to predict long-term survival of patients affected by PDAC.
In the modern era of improved systemic chemotherapy for PDAC, tumor biology, and response to chemotherapy are essential in defining prognosis and an improved approach is needed for classifying resectability beyond purely anatomic features.
We queried the National Cancer Database regarding patients diagnosed with PDAC from 2010 to 2016. Cox proportional hazard models were used to select preoperative baseline factors significantly associated with survival; final models for overall survival (OS) were internally validated and formed the basis of the nomogram.
A total of 7849 patients with PDAC were included with a median follow-up of 19 months. On multivariable analysis, factors significantly associated with OS included carbohydrate antigen 19-9, neoadjuvant treatment, tumor size, age, facility type, Charlson/Deyo score, primary site, and sex; T4 stage was not independently associated with OS. The cumulative score was used to classify patients into 3 groups: good, intermediate, and poor prognosis, respectively. The strength of our model was validated by a highly significant randomization test, Log-rank test, and simple hazard ratio; the concordance index was 0.59.
This new PDAC nomogram, based solely on preoperative variables, could be a useful tool to patients and counseling physicians in selecting therapy. This model suggests a new concept of resectability that is meant to reflect the biology of the tumor, thus partially overcoming existing definitions, that are mainly based on tumor anatomic features.
确定能够预测 PDAC 患者长期生存的客观术前预后因素。
在 PDAC 系统化疗改善的现代时代,肿瘤生物学和对化疗的反应对于定义预后至关重要,需要改进分类方法,不仅要考虑纯粹的解剖特征,还要考虑可切除性。
我们查询了国家癌症数据库,以获取 2010 年至 2016 年间诊断为 PDAC 的患者信息。使用 Cox 比例风险模型选择与生存显著相关的术前基线因素;对总生存期(OS)的最终模型进行内部验证,并作为列线图的基础。
共纳入 7849 例 PDAC 患者,中位随访时间为 19 个月。多变量分析显示,与 OS 显著相关的因素包括癌抗原 19-9、新辅助治疗、肿瘤大小、年龄、医疗机构类型、Charlson/Deyo 评分、原发部位和性别;T4 期与 OS 无独立相关性。累积评分用于将患者分为三组:预后良好、中等和差。随机分组检验、对数秩检验和简单风险比均验证了我们模型的强度;一致性指数为 0.59。
这个新的 PDAC 列线图仅基于术前变量,可作为患者和咨询医生选择治疗的有用工具。该模型提出了一种新的可切除性概念,旨在反映肿瘤的生物学特性,从而部分克服主要基于肿瘤解剖特征的现有定义。