Catalano Giovanni, Alaimo Laura, Chatzipanagiotou Odysseas P, Ruzzenente Andrea, Aucejo Federico, Marques Hugo P, Bhimani Nazim, Hugh Tom, Maithel Shishir K, Kitago Minoru, Endo Itaru, Pawlik Timothy M
Department of Surgery, The Ohio State University, Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH, USA.
Department of Surgery, University of Verona, Verona, Italy.
Ann Surg Oncol. 2025 Mar;32(3):1742-1751. doi: 10.1245/s10434-024-16492-2. Epub 2024 Nov 14.
Lymph node metastasis (LNM) is among the most important predictors of poor prognosis after surgery for gallbladder cancer (GBC). Traditionally, staging has been based on the raw count of LNM, with a high risk of understaging patients who undergo inadequate lymph node dissection (LND). The log odds of metastatic lymph nodes (LODDS) may represent an alternative staging approach to stratify patients more accurately after resection of GBC.
In this cross-sectional study, patients who underwent curative-intent surgery with LND for GBC were identified from an international database. Two predictive models were built and compared, each integrating a different lymph nodes status indicator [i.e., American Joint Committee on Cancer (AJCC) and LODDS].
Among 199 patients, the median number of lymph nodes examined was 5 [interquartile range (IQR): 3.0, 8.0]; most patients had T1 (n = 26, 13.1%) or T2 (n = 97, 48.7%) disease, and a subset had LNM (n = 87, 44.0%). Multivariable Cox analysis demonstrated LODDS was an independent predictor of overall survival [hazard ratio (HR) 1.84, 95% confidence interval (CI) 1.5-2.3; p < 0.001]. The LODDS model demonstrated better performance compared with a traditional model that utilized the AJCC N category [concordance (C) index: 0.814 versus 0.763; p < 0.001]. Patients classified as high- versus low-risk based on LODDS had much worse overall survival (OS) (4.9% versus 83.7%, respectively; p < 0.001). The LODDS model performance remained high even among patients with inadequate LND (< 6 LN) (C index: 0.87). An online calculator was developed ( https://catalano-giovanni.shinyapps.io/LoddsGBC/ ).
A novel prognostic model based on LODDS may overcome the inherent limitations of the current AJCC staging system, reducing understaging among patients with fewer than six total lymph nodes evaluated.
淋巴结转移(LNM)是胆囊癌(GBC)手术后预后不良的最重要预测因素之一。传统上,分期是基于LNM的原始计数,对于接受淋巴结清扫(LND)不充分的患者存在分期不足的高风险。转移淋巴结的对数优势(LODDS)可能代表一种替代分期方法,能在GBC切除术后更准确地对患者进行分层。
在这项横断面研究中,从一个国际数据库中识别出接受GBC根治性手术并进行LND的患者。构建并比较了两个预测模型,每个模型整合了不同的淋巴结状态指标[即美国癌症联合委员会(AJCC)和LODDS]。
在199例患者中,检查的淋巴结中位数为5个[四分位间距(IQR):3.0,8.0];大多数患者患有T1期(n = 26,13.1%)或T2期(n = 97,48.7%)疾病,一部分患者有LNM(n = 87,44.0%)。多变量Cox分析表明,LODDS是总生存期的独立预测因素[风险比(HR)1.84,95%置信区间(CI)1.5 - 2.3;p < 0.001]。与使用AJCC N分类的传统模型相比,LODDS模型表现更好[一致性(C)指数:0.814对0.763;p < 0.001]。根据LODDS分为高风险和低风险的患者总生存期(OS)差得多(分别为4.9%和83.7%;p < 0.001)。即使在LND不充分(< 6个淋巴结)的患者中,LODDS模型的表现仍然很高(C指数:0.87)。开发了一个在线计算器(https://catalano - giovanni.shinyapps.io/LoddsGBC/)。
基于LODDS的新型预后模型可能克服当前AJCC分期系统的固有局限性,减少评估的总淋巴结数少于6个的患者分期不足的情况