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Patterns and risk of recurrence in patients with esophageal cancer with a pathologic complete response after chemoradiotherapy followed by surgery.

ABSTRACT: OBJECTIVES:A pathologic complete response in patients with locally advanced esophageal cancer after chemoradiotherapy and surgery is associated with improved overall and disease-free survival. Nevertheless, approximately one third of patients with a pathologic complete response still have a recurrence. The aim of this study was to evaluate risk factors and patterns of recurrence in patients with locally advanced esophageal cancer who achieved a pathologic complete response after chemoradiotherapy and surgery. METHODS:We performed a retrospective review of a single-institution database of 233 patients with stage II and III esophageal cancer with a pathologic complete response after chemoradiotherapy and surgery between 1997 and 2017. A multivariable competing risk-regression model was used to identify predictors of recurrence. RESULTS:A total of 61 patients exhibited recurrence in this cohort, 43 with adenocarcinoma and 18 with squamous cell carcinoma. Five-year cumulative incidence of recurrence did not vary by histology. Univariable analysis revealed that poor tumor differentiation (hazard ratio, 2.28; P = .022) and advanced clinical stage (hazard ratio, 1.89; P = .042) are predictors of recurrence in the esophageal adenocarcinoma subgroup, whereas poor tumor differentiation remained the only independent predictor on multivariable analysis in the entire cohort (hazard ratio, 2.28; P = .009). Patients with esophageal adenocarcinoma had a higher incidence of distant recurrences, and patients with esophageal squamous cell carcinoma demonstrated a higher incidence of loco-regional recurrence (P = .039). CONCLUSIONS:Poor tumor differentiation is an independent risk factor for recurrence in patients with esophageal cancer with a pathologic complete response. Although there is no difference in the cumulative incidence of recurrence between esophageal adenocarcinoma and esophageal squamous cell carcinoma, patterns of recurrence appear to differ. Thus, treatment and surveillance strategies may be tailored appropriately.

SUBMITTER: Barbetta A

PROVIDER: S-EPMC6534488 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature

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Patterns and risk of recurrence in patients with esophageal cancer with a pathologic complete response after chemoradiotherapy followed by surgery.

Barbetta Arianna A Sihag Smita S Nobel Tamar T Hsu Meier M Tan Kay See KS Bains Manjit M Jones David R DR Molena Daniela D

The Journal of thoracic and cardiovascular surgery 20181124 3

<h4>Objectives</h4>A pathologic complete response in patients with locally advanced esophageal cancer after chemoradiotherapy and surgery is associated with improved overall and disease-free survival. Nevertheless, approximately one third of patients with a pathologic complete response still have a recurrence. The aim of this study was to evaluate risk factors and patterns of recurrence in patients with locally advanced esophageal cancer who achieved a pathologic complete response after chemorad ...[more]

PMID: 30655068

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Project description:ObjectiveThis study was conducted in order to determine the optimal timing of diffusion-weighted magnetic resonance imaging (DW-MRI) for prediction of pathologic complete response (pCR) to neoadjuvant chemoradiotherapy (nCRT) for esophageal cancer.MethodsPatients with esophageal adenocarcinoma or squamous cell carcinoma who planned to undergo nCRT followed by surgery were enrolled in this prospective study. Patients underwent six DW-MRI scans: one baseline scan before the start of nCRT and weekly scans during 5 weeks of nCRT. Relative changes in mean apparent diffusion coefficient (ADC) values between the baseline scans and the scans during nCRT (ΔADC(%)) were compared between pathologic complete responders (pCR) and non-pCR (tumor regression grades 2-5). The discriminative ability of ΔADC(%) was determined based on the c-statistic.ResultsA total of 24 patients with 142 DW-MRI scans were included. pCR was observed in seven patients (29%). ΔADC(%) from baseline to week 2 was significantly higher in patients with pCR versus non-pCR (median [IQR], 36% [30%, 41%] for pCR versus 16% [14%, 29%] for non-pCR, p = 0.004). The ΔADC(%) of the second week in combination with histology resulted in the highest c-statistic for the prediction of pCR versus non-pCR (0.87). The c-statistic of this model increased to 0.97 after additional exclusion of patients with a small tumor volume (< 7 mL, n = 3) and tumor histology of the resection specimen other than adenocarcinoma or squamous cell carcinoma (n = 1).ConclusionThe relative change in tumor ADC (ΔADC(%)) during the first 2 weeks of nCRT is the most predictive for pathologic complete response to nCRT in esophageal cancer patients.Key points• DW-MRI during the second week of neoadjuvant chemoradiotherapy is most predictive for pathologic complete response in esophageal cancer. • A model including ΔADCweek 2was able to discriminate between pathologic complete responders and non-pathologic complete responders in 87%. • Improvements in future MRI studies for esophageal cancer may be obtained by incorporating motion management techniques.

Project description:Background: Patients with rectal cancer who achieve pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) may have a better prognosis and may be eligible for non-operative management. The aim of this research was to identify variables for predicting pCR in rectal cancer patients after nCRT and to define clinical risk factors for poor outcome after pCR to nCRT and radical resection in rectal cancer patients. Methods: A retrospective review was performed using the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2013. Non-metastatic rectal cancer patients who received radical resection after neoadjuvant chemoradiotherapy were included in this study. Multivariate analysis of the association between clinicopathological characteristics and pCR was performed, and a logistic regression model was used to identify independent predictors for pCR. A nomogram based on the multivariate logistics regression was built with decision curve analyses to evaluate the clinical usefulness. Results: A total of 6,555 patients were included in this study. The proportion of patients with pCR was 20.5% (n = 1,342). The nomogram based on multivariate logistic regression analysis showed that clinical T4 and N2 stages were the most significant independent clinical predictors for not achieving pCR, followed by mucinous adenocarcinoma and positive pre-treatment serum CEA results. The 3-year overall survival rate was 92.4% for those with pCR and 88.2% for those without pCR. Among all the pCR patients, mucinous adenocarcinoma patients had the worst survival, with a 3-year overall survival rate of 67.5%, whereas patients with common adenocarcinoma had an overall survival rate of 93.8% (P < 0.001). Univariate and multivariate analyses showed that histology and clinical N2 stage were independent risk factors. Conclusion: Mucinous adenocarcinoma, positive pre-treatment serum CEA results, and clinical T4 and N2 stages may impart difficulty for patients to achieve pCR. Mucinous adenocarcinoma and clinical N2 stage might be indicative of a prognostically unfavorable biological tumor profile with a greater propensity for local or distant recurrence and decreased survival.

Project description:Background and purpose: Although patients with esophageal squamous cell carcinoma (ESCC) can achieve a pathological complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) followed by surgery, one-third of these patients with a pCR may still experience recurrence. The aim of this study is to develop and validate a predictive model to estimate recurrence-free survival (RFS) in those patients who achieved pCR. Materials and methods: Two hundred six patients with ESCC were enrolled and divided into a training cohort (n = 146) and a validation cohort (n = 60). Radiomic features were extracted from contrast-enhanced computed tomography (CT) images of each patient. Feature reduction was then implemented in two steps, including a multiple segmentation test and least absolute shrinkage and selection operator (LASSO) Cox proportional hazards regression method. A radiomics signature was subsequently constructed and evaluated. For better prediction performance, a clinical nomogram based on clinical risk factors and a nomogram incorporating the radiomics signature and clinical risk factors was built. Finally, the prediction models were further validated by calibration and the clinical usefulness was examined in the validation cohort to determine the optimal prediction model. Results: The radiomics signature was constructed using eight radiomic features and displayed a significant correlation with RFS. The nomogram incorporating the radiomics signature with clinical risk factors achieved optimal performance compared with the radiomics signature (P < 0.001) and clinical nomogram (P < 0.001) in both the training cohort [C-index (95% confidence interval [CI]), 0.746 (0.680-0.812) vs. 0.685 (0.620-0.750) vs. 0.614 (0.538-0.690), respectively] and validation cohort [C-index (95% CI), 0.724 (0.696-0.752) vs. 0.671 (0.624-0.718) vs. 0.629 (0.597-0.661), respectively]. The calibration curve and decision curve analysis revealed that the radiomics nomogram outperformed the other two models. Conclusions: A radiomics nomogram model incorporating radiomics features and clinical factors has been developed and has the improved ability to predict the postoperative recurrence risk in patients with ESCC who achieved pCR after nCRT followed by surgery.

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Patterns and risk of recurrence in patients with esophageal cancer with a pathologic complete response after chemoradiotherapy followed by surgery.

Publications

Patterns and risk of recurrence in patients with esophageal cancer with a pathologic complete response after chemoradiotherapy followed by surgery.

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