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Shi YJ, Yan S, Yang X, Guan Z, Li XT, Wang LL, Dai L, Sun YS. Early Contrast-Enhanced MR for Diagnosing Complete Tumor Response of Locally Advanced Esophageal Squamous Cell Carcinoma After Neoadjuvant Therapy: A Retrospective Comparative Study. Ann Surg Oncol 2024; 31:4271-4280. [PMID: 38453768 DOI: 10.1245/s10434-024-15123-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 02/14/2024] [Indexed: 03/09/2024]
Abstract
BACKGROUND This study assessed the performance of early contrast-enhanced magnetic resonance (ECE-MR) in the detecting of complete tumor response (ypT0) in patients with esophageal squamous cell carcinoma following neoadjuvant therapy. PATIENTS AND METHODS Preoperative MR images of consecutive patients who underwent neoadjuvant therapy and surgical resection were reviewed retrospectively. The accuracy of ECE-MR and T2WI+DWI was evaluated by comparing the findings with pathological results. Receiver operating characteristic curve analysis was used to assess the diagnostic performance, and DeLong method was applied to compare the areas under the curves (AUC). Chi-squared analysis was conducted to explore the difference in pathological changes. RESULTS A total of 198 patients (mean age 62.6 ± 7.8 years, 166 men) with 201 lesions were included. The AUC of ECE-MR was 0.85 (95% CI 0.79-0.90) for diagnosing ypT1-4, which was significantly higher than that of T2WI+DWI (AUC 0.69, 95% CI 0.63-0.76, p < 0.001). The diagnostic performance of both T2WI+DWI and ECE-MR improved with increasing tumor stage. The AUCs of ECE-MRI were higher in ypT1 and ypT2 tumors than T2WI+DWI. Degree 2-3 tumor-infiltrating lymphocytes and neutrophils were commonly seen in ypT0 tumors misdiagnosed by ECE-MR. CONCLUSIONS Visual evaluation of ECE-MR is a promising diagnostic protocol for the detection of complete tumor response, especially for differentiation with early stage tumors. The accurate diagnosis of complete tumor response after neoadjuvant therapy using imaging modalities is of important significance for clinical decision-making for patients with esophageal squamous cell carcinoma. It is hoped that early contrast-enhanced MR will provide supportive advice for the development of individualized treatment options for patients.
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Affiliation(s)
- Yan-Jie Shi
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Shuo Yan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Xin Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Zhen Guan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Lin-Lin Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China
| | - Liang Dai
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), The First Department of Thoracic Surgery, Peking University Cancer Hospital and Institute, Hai-Dian District, Beijing, China.
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, Hai Dian District, Beijing, China.
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Xu Z, You Z, Chen M, Zhang M, Shen C, Xu D, Xu K, Tian W. Comparison of immunochemotherapy and chemotherapy alone in conversion therapy for locally advanced unresectable esophageal squamous cell carcinoma. Front Oncol 2024; 14:1370353. [PMID: 38978739 PMCID: PMC11228235 DOI: 10.3389/fonc.2024.1370353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Accepted: 06/10/2024] [Indexed: 07/10/2024] Open
Abstract
Background The clinical value of preoperative immunochemotherapy and simple chemotherapy induction regimen in the conversion therapy of locally advanced unresectable esophageal squamous cell carcinoma (ESCC) is still unclear. Method Retrospective analysis was conducted on patients with unresectable cT4b stage ESCC who underwent conversion surgery in our hospital from January 2020 to December 2022. According to the preoperative induction treatment plan, they were divided into induction immunochemotherapy group (iICT group) and induction chemotherapy group (iCT group). The conversion surgery rate, R0 resection rate, radiological and pathological tumor responses, safety, and short-term survival outcomes were analyzed. Results The results showed that a total of 199 patients with cT4b locally advanced unresectable ESCC who underwent preoperative induction therapy were included in this study. Among them, there were 64 cases (32.2%) in the iICT group, 135 cases (67.8%) in the iCT group. There was a statistically significant difference in objective response rate (73.5% vs 48.9%) and conversion surgery rate (81.3% vs 66.7%), between the iICT and iCT groups (P=0.001 and P=0.019). Among the two groups of patients who underwent surgery, there were statistically significant differences in R0 resection rate (94.2% vs 82.2%) and pathological complete remission rate (23.1% vs 6.7%) between the iICT and iCT groups (P=0.043 and P=0.004). And there was no statistically significant difference in the incidence of grade 3 and above between two groups (P=0.928). The 2-year EFS of the iICT group and iCT group were 76.4% and 42.4%, respectively, with statistically significant differences (P=0.006). Conclusions Compared with simple chemotherapy, the combination of PD-1 inhibitors and chemotherapy can achieve better conversion surgery rate, tumor response and event-free survival in the conversion therapy of locally advanced unresectable ESCC.
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Affiliation(s)
- Zhiyun Xu
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Zhenbing You
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Mengzhou Chen
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Mingzhi Zhang
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Cheng Shen
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Dafu Xu
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Keping Xu
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Wenze Tian
- Department of Thoracic Surgery, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
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Zou W, Kuang W, Cai C, Qian Y. Prognostic Nutritional Index as a Prognostic Indicator for the Occurrence of Postoperative Complications in Patients with Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy. Cancer Manag Res 2024; 16:643-650. [PMID: 38919874 PMCID: PMC11197999 DOI: 10.2147/cmar.s465501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 06/18/2024] [Indexed: 06/27/2024] Open
Abstract
Background & Aims The objective of this study was to evaluate the prognostic nutritional index (PNI) as a predictor of short-term postoperative complications in esophageal squamous cell carcinoma patients undergoing neoadjuvant immunochemotherapy. Methods Clinical data were collected from 77 patients undergoing radical esophageal cancer surgery after neoadjuvant immunochemotherapy at Tongji Hospital from January 2022 to January 2023. The receiver operating characteristic curve (ROC) was utilized to establish the optimal cut-off point for the PNI. Subsequently, patients were stratified into low and high PNI groups according to this cut-off point, and comparisons were made between the two groups in terms of clinical data and postoperative complications. Results Out of the 77 patients included in the study, 31 were categorized in the low PNI group and 46 in the high PNI group, with a defined cutoff point of 47.38. Significant statistical variances were noted in the occurrence rates of general complications (P < 0.001), pulmonary infections (P < 0.001), and anastomotic fistula (P = 0.034) between the two groups. The low PNI group displayed elevated rates of these complications in comparison to the high PNI group. Conclusion The research findings indicate that preoperative nutritional assessment using the PNI can effectively predict short-term postoperative complications in esophageal squamous cell carcinoma patients who have undergone neoadjuvant therapy. Furthermore, the results suggest that implementing nutritional interventions for patients with moderate-to-severe malnutrition, as indicated by preoperative PNI evaluation, may help reduce the incidence of postoperative complications.
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Affiliation(s)
- Wenbin Zou
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Wan Kuang
- Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Chun Cai
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
| | - Yan Qian
- Department of Thoracic Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People’s Republic of China
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Wang JL, Tang LS, Zhong X, Wang Y, Feng YJ, Zhang Y, Liu JY. A machine learning radiomics based on enhanced computed tomography to predict neoadjuvant immunotherapy for resectable esophageal squamous cell carcinoma. Front Immunol 2024; 15:1405146. [PMID: 38947338 PMCID: PMC11211602 DOI: 10.3389/fimmu.2024.1405146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/29/2024] [Indexed: 07/02/2024] Open
Abstract
Background Patients with resectable esophageal squamous cell carcinoma (ESCC) receiving neoadjuvant immunotherapy (NIT) display variable treatment responses. The purpose of this study is to establish and validate a radiomics based on enhanced computed tomography (CT) and combined with clinical data to predict the major pathological response to NIT in ESCC patients. Methods This retrospective study included 82 ESCC patients who were randomly divided into the training group (n = 57) and the validation group (n = 25). Radiomic features were derived from the tumor region in enhanced CT images obtained before treatment. After feature reduction and screening, radiomics was established. Logistic regression analysis was conducted to select clinical variables. The predictive model integrating radiomics and clinical data was constructed and presented as a nomogram. Area under curve (AUC) was applied to evaluate the predictive ability of the models, and decision curve analysis (DCA) and calibration curves were performed to test the application of the models. Results One clinical data (radiotherapy) and 10 radiomic features were identified and applied for the predictive model. The radiomics integrated with clinical data could achieve excellent predictive performance, with AUC values of 0.93 (95% CI 0.87-0.99) and 0.85 (95% CI 0.69-1.00) in the training group and the validation group, respectively. DCA and calibration curves demonstrated a good clinical feasibility and utility of this model. Conclusion Enhanced CT image-based radiomics could predict the response of ESCC patients to NIT with high accuracy and robustness. The developed predictive model offers a valuable tool for assessing treatment efficacy prior to initiating therapy, thus providing individualized treatment regimens for patients.
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Affiliation(s)
- Jia-Ling Wang
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Lian-Sha Tang
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Xia Zhong
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Yi Wang
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Yu-Jie Feng
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Yun Zhang
- Department of Radiology, West China Hospital, Sichuan University, Chengdu, China
| | - Ji-Yan Liu
- Department of Biotherapy, Cancer Center, West China Hospital of Sichuan University, Chengdu, China
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Zeng H, Zhang F, Sun Y, Li S, Zhang W. Treatment options for neoadjuvant strategies of esophageal squamous cell carcinoma (Review). Mol Clin Oncol 2024; 20:4. [PMID: 38223404 PMCID: PMC10784769 DOI: 10.3892/mco.2023.2702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 10/26/2023] [Indexed: 01/16/2024] Open
Abstract
Compared with postoperative adjuvant therapy, neoadjuvant therapy has more potential advantages, such as decreasing tumor stage, killing micrometastatic cells. Because of these advantages, neoadjuvant therapy is recommended for numerous types of tumor, such as breast, lung and rectal cancer. To determine the role of neoadjuvant therapy on overall survival and adverse for patients with resectable esophageal carcinoma. we summarized clinical studies on 7 types of neoadjuvant therapies in this review. Currently, patients with esophageal cancer (EC) in China mainly receive postoperative treatment with <30% of patients receiving neoadjuvant therapy. One reason for the limited use of neoadjuvant therapy in China is inaccurate staging based on imaging and neoadjuvant treatment may increase difficulties in surgery. After neoadjuvant therapy, there may be tissue edema, blurry surgical field of view and unclear tissue gaps, resulting in greater difficulty in surgical procedures. However, oncologists are interested in neoadjuvant treatment, especially neoadjuvant immunotherapy to treat EC. Concurrent chemoradiotherapy for esophageal squamous cell carcinoma (ESCC) is the most common neoadjuvant treatment regimen and increases the pathological complete response (pCR) and 5- and 10-year survival rates. Preoperative induction chemotherapy and sequential concurrent chemoradiotherapy are currently the most widely treatments used in clinical practice in China. However, this treatment strategy does not yield long-term survival. The pCR rate of neoadjuvant immunotherapy is greater than that of concurrent chemoradiotherapy but, to the best of our knowledge, no evidence of long-term survival benefit has been found in phase I and II clinical trials. Neoadjuvant treatment should be considered for patients with locally advanced ESCC.
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Affiliation(s)
- Hai Zeng
- Department of Oncology, First Affiliated Hospital of Yangtze University, Jingzhou, Hubei 434000, P.R. China
| | - Fan Zhang
- Department of Oncology, First Affiliated Hospital of Yangtze University, Jingzhou, Hubei 434000, P.R. China
| | - Yujiao Sun
- Department of Clinical Medicine, Medical School of Yangtze University, Jingzhou, Hubei 434000, P.R. China
| | - Shuang Li
- Department of Oncology, First Affiliated Hospital of Yangtze University, Jingzhou, Hubei 434000, P.R. China
| | - Weijia Zhang
- Department of Oncology, First Affiliated Hospital of Yangtze University, Jingzhou, Hubei 434000, P.R. China
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Song XY, Liu J, Li HX, Cai XW, Li ZG, Su YC, Li Y, Dong XH, Yu W, Fu XL. Enhancing Prediction for Tumor Pathologic Response to Neoadjuvant Immunochemotherapy in Locally Advanced Esophageal Cancer by Dynamic Parameters from Clinical Assessments. Cancers (Basel) 2023; 15:4377. [PMID: 37686655 PMCID: PMC10486879 DOI: 10.3390/cancers15174377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 08/25/2023] [Accepted: 08/30/2023] [Indexed: 09/10/2023] Open
Abstract
To develop accurate and accessible prediction methods for assessing pathologic response following NICT prior to surgery, we conducted a retrospective study including 137 patients with esophageal squamous cell carcinoma (ESCC) who underwent surgery after two cycles of NICT between January 2019 and March 2022 at our center. We collected clinical parameters to evaluate the dynamic changes in the primary tumor. Univariate and multivariate analyses were performed to determine the correlations between these parameters and the pathologic response of the primary tumor. Subsequently, we constructed prediction models for pCR and MPR using multivariate logistic regression. The MPR prediction Model 2 was internally validated using bootstrapping and externally validated using an independent cohort from our center. The univariate logistic analysis revealed significant differences in clinical parameters reflecting tumor regression among patients with varying pathologic responses. The clinical models based on these assessments demonstrated excellent predictive performance, with the training cohort achieving a C-index of 0.879 for pCR and 0.912 for MPR, while the testing cohort also achieved a C-index of 0.912 for MPR. Notably, the MPR prediction Model 2, with a threshold cut-off of 0.74, exhibited 92.7% specificity and greater than 70% sensitivity, indicating a low rate of underestimating residual tumors. In conclusion, our study demonstrated the high accuracy of clinical assessment-based models in pathologic response prediction, aiding in decision-making regarding organ preservation and radiotherapy adjustments after induction immunochemotherapy.
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Affiliation(s)
- Xin-Yun Song
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
- School of Medicine, Shanghai Jiao Tong University, Shanghai 200025, China
| | - Jun Liu
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Hong-Xuan Li
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Xu-Wei Cai
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Zhi-Gang Li
- Department of Thoracic Surgery, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yu-Chen Su
- Department of Thoracic Surgery, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yue Li
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Xiao-Huan Dong
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Wen Yu
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
| | - Xiao-Long Fu
- Department of Radiation Oncology, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China; (X.-Y.S.)
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