Department of Colorectal and Anal Surgery, Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, Guangdong Province, China.
World J Gastroenterol. 2019 Jan 7;25(1):118-137. doi: 10.3748/wjg.v25.i1.118.
In recent decades, neoadjuvant therapy (NT) has been the standardized treatment for locally advanced rectal cancer (LARC). Approximately 8%-35% of patients with LARC who received NT were reported to have achieved a complete pathological response (pCR). If the pathological response (PR) can be accurately predicted, these patients may not need surgery. In addition, no response after NT implies that the tumor is destructive, resistant to both chemotherapy and radiotherapy, and prone to having a high metastatic potential. Therefore, developing accurate models to predict PR has great clinical significance and can help achieve individualized treatment in LARC patients.
To establish nomograms for predicting PR to different NT regimens based on pretreatment parameters for patients with LARC.
Rectal cancer patients were identified from the database of The Sixth Affiliated Hospital, Sun Yat-sen University from January 2012 to December 2016. Logistic regression and nomograms were developed to predict the probability of pCR and good downstaging to ypT0-2N0M0 (ypTNM 0-I), respectively, based on pretreatment parameters for all LARC patients. Nomograms were also developed for three NT regimens (capecitabine/deGramont-RT, mFOLFOX6, and mFOLFOX6-RT) to predict pCR probability.
Four hundred and three patients were included in this study; 72 (17.9%) had pCR at the final pathology report, and 177 (43.9%) achieved good downstaging to ypT0-2N0M0 (ypTNM 0-I). The nomogram for predicting pCR probability showed that NT regimens, tumor differentiation, mesorectal fascia (MRF) status, and tumor length significantly influenced pCR probability. When predicting the probability of good downstaging, tumor differentiation, MRF status, and clinical T stage were the significant factors. Nomograms were developed based on NT regimens. For the capecitabine/de Gramont-RT group, the multivariate analysis showed that the neutrophil-lymphocyte ratio (NLR) was the only significant factor, thus we could not develop a nomogram for this regimen. For the mFOLFOX6-RT group, the analysis showed that the significant factors were tumor length and MRF status; and for the mFOLFOX6 group, the significant factors were tumor length and tumor differentiation.
We established accurate nomograms for predicting the PR to preoperative NT regimens based on pretreatment parameters for LARC patients.
在最近几十年中,新辅助治疗(NT)已成为局部晚期直肠癌(LARC)的标准治疗方法。接受 NT 的 LARC 患者中约有 8%-35%报告达到完全病理缓解(pCR)。如果可以准确预测病理缓解(PR),则这些患者可能不需要手术。此外,NT 后无反应意味着肿瘤具有破坏性,对化疗和放疗均具有耐药性,并且容易发生高转移潜能。因此,开发准确的模型来预测 PR 具有重要的临床意义,并有助于实现 LARC 患者的个体化治疗。
基于 LARC 患者的治疗前参数,建立预测不同 NT 方案 PR 的列线图。
从中山大学附属第六医院数据库中确定了 2012 年 1 月至 2016 年 12 月的直肠癌患者。基于所有 LARC 患者的治疗前参数,通过逻辑回归和列线图分别建立了预测 pCR 和降期至ypT0-2N0M0(ypTNM 0-I)的概率的模型。还为三种 NT 方案(卡培他滨/ deGramont-RT、mFOLFOX6 和 mFOLFOX6-RT)建立了预测 pCR 概率的列线图。
本研究共纳入 403 例患者;最终病理报告中有 72 例(17.9%)达到 pCR,177 例(43.9%)达到降期至 ypT0-2N0M0(ypTNM 0-I)。预测 pCR 概率的列线图显示,NT 方案、肿瘤分化、中胚层筋膜(MRF)状态和肿瘤长度显著影响 pCR 概率。在预测降期良好的概率时,肿瘤分化、MRF 状态和临床 T 分期是显著因素。根据 NT 方案建立了列线图。对于卡培他滨/ deGramont-RT 组,多变量分析显示中性粒细胞-淋巴细胞比值(NLR)是唯一的显著因素,因此我们无法为该方案建立列线图。对于 mFOLFOX6-RT 组,分析显示显著因素是肿瘤长度和 MRF 状态;对于 mFOLFOX6 组,显著因素是肿瘤长度和肿瘤分化。
我们基于 LARC 患者的治疗前参数建立了预测术前 NT 方案 PR 的准确列线图。