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Du Q, Wu X, Zhang K, Cao F, Zhao G, Wei X, Guo Z, Li Y, Dong J, Zhang T, Zhang W, Wang P, Chen X, Pang Q. Predictive and prognostic markers from endoscopic ultrasound with biopsies during definitive chemoradiation therapy in esophageal squamous cell carcinoma. BMC Cancer 2023; 23:681. [PMID: 37474893 PMCID: PMC10357763 DOI: 10.1186/s12885-023-10803-8] [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: 09/21/2022] [Accepted: 04/03/2023] [Indexed: 07/22/2023] Open
Abstract
INTRODUCTION Endoscopic ultrasound (EUS) may play a role in evaluating treatment response after definitive chemoradiation therapy (dCRT) for esophageal squamous cell carcinoma (ESCC). This study explored the prognostic markers of EUS with biopsies and developed two nomograms for survival prediction. METHODS A total of 821 patients newly diagnosed with ESCC between January 2015 and December 2019 were reviewed. We investigated the prognostic value of the changes in tumor imaging characteristics and histopathological markers by an interim response evaluation, including presence of stenosis, ulceration, tumor length, tumor thickness, lumen involvement, and tumor remission. Independent prognostic factors of progression-free survival (PFS) and overall survival (OS) were determined using Cox regression analysis and further selected to build two nomogram models for survival prediction. The receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) were used to respectively assess its discriminatory capacity, predictive accuracy, and clinical usefulness. RESULTS A total of 155 patients were enrolled in this study and divided into the training (109 cases) and testing (46 cases) cohorts. Tumor length, residual tumor thickness, reduction in tumor thickness, lumen involvement, and excellent remission (ER) of spatial luminal involvement in ESCC (ER/SLI) differed significantly between responders and non-responders. For patients undergoing dCRT, tumor stage (P = 0.001, 0.002), tumor length (P = 0.013, 0.008), > 0.36 reduction in tumor thickness (P = 0.004, 0.004) and ER/SLI (P = 0.041, 0.031) were independent prognostic markers for both PFS and OS. Time-dependent ROC curves, calibration curves, and DCA indicated that the predicted survival rates of our two established nomogram models were highly accurate. CONCLUSION Our nomogram showed high accuracy in predicting PFS and OS for ESCC after dCRT. External validation and complementation of other biomarkers are needed in further studies.
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Affiliation(s)
- Qingwu Du
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Xiaoyue Wu
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Kunning Zhang
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Fuliang Cao
- Departments of Endoscopy Diagnosis and Therapy, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Gang Zhao
- Departments of Pathology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Xiaoying Wei
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Zhoubo Guo
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Yang Li
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Jie Dong
- Department of Nutrition Therapy, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Tian Zhang
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Wencheng Zhang
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Ping Wang
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
| | - Xi Chen
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
| | - Qingsong Pang
- Departments of Radiation Oncology, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Tianjin, China.
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Pan H, Wu Z, Zhang H, Zhang J, Liu Y, Li Z, Feng W, Wang G, Liu Y, Zhao D, Zhang Z, Liu Y, Zhang Z, Liu X, Tao L, Luo Y, Wang X, Yang X, Zhang F, Li X, Guo X. Identification and validation of IgG N-glycosylation biomarkers of esophageal carcinoma. Front Immunol 2023; 14:981861. [PMID: 36999031 PMCID: PMC10043232 DOI: 10.3389/fimmu.2023.981861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 02/28/2023] [Indexed: 03/16/2023] Open
Abstract
IntroductionAltered Immunoglobulin G (IgG) N-glycosylation is associated with aging, inflammation, and diseases status, while its effect on esophageal squamous cell carcinoma (ESCC) remains unknown. As far as we know, this is the first study to explore and validate the association of IgG N-glycosylation and the carcinogenesis progression of ESCC, providing innovative biomarkers for the predictive identification and targeted prevention of ESCC.MethodsIn total, 496 individuals of ESCC (n=114), precancerosis (n=187) and controls (n=195) from the discovery population (n=348) and validation population (n=148) were recruited in the study. IgG N-glycosylation profile was analyzed and an ESCC-related glycan score was composed by a stepwise ordinal logistic model in the discovery population. The receiver operating characteristic (ROC) curve with the bootstrapping procedure was used to assess the performance of the glycan score.ResultsIn the discovery population, the adjusted OR of GP20 (digalactosylated monosialylated biantennary with core and antennary fucose), IGP33 (the ratio of all fucosylated monosyalilated and disialylated structures), IGP44 (the proportion of high mannose glycan structures in total neutral IgG glycans), IGP58 (the percentage of all fucosylated structures in total neutral IgG glycans), IGP75 (the incidence of bisecting GlcNAc in all fucosylated digalactosylated structures in total neutral IgG glycans), and the glycan score are 4.03 (95% CI: 3.03-5.36, P<0.001), 0.69 (95% CI: 0.55-0.87, P<0.001), 0.56 (95% CI: 0.45-0.69, P<0.001), 0.52 (95% CI: 0.41-0.65, P<0.001), 7.17 (95% CI: 4.77-10.79, P<0.001), and 2.86 (95% CI: 2.33-3.53, P<0.001), respectively. Individuals in the highest tertile of the glycan score own an increased risk (OR: 11.41), compared with those in the lowest. The average multi-class AUC are 0.822 (95% CI: 0.786-0.849). Findings are verified in the validation population, with an average AUC of 0.807 (95% CI: 0.758-0.864).DiscussionOur study demonstrated that IgG N-glycans and the proposed glycan score appear to be promising predictive markers for ESCC, contributing to the early prevention of esophageal cancer. From the perspective of biological mechanism, IgG fucosylation and mannosylation might involve in the carcinogenesis progression of ESCC, and provide potential therapeutic targets for personalized interventions of cancer progression.
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Affiliation(s)
- Huiying Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Zhiyuan Wu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Haiping Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Jie Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yue Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Zhiwei Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Wei Feng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Guiqi Wang
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yong Liu
- Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Deli Zhao
- Cancer Centre, The Feicheng People’s Hospital, Feicheng, Shandong, China
| | - Zhiyi Zhang
- Department of Gastroenterology, Gansu Wuwei Cancer Hospital, Wuwei, Gansu, China
| | - Yuqin Liu
- Cancer Epidemiology Research Centre, Gansu Province Cancer Hospital, Lanzhou, Gansu, China
| | - Zhe Zhang
- Department of Occupational Health, Wuwei Center for Disease Prevention and Control, Wuwei, Gansu, China
| | - Xiangtong Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xiaonan Wang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Feng Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Centre for Precision Health, School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
- *Correspondence: Xiuhua Guo,
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Li D, Zhang Q, Yang Y, Yin H, Zhu C, Li X. Significance of intratreatment tumor volume change during chemoradiotherapy for potentially resectable thoracic esophageal squamous cell carcinoma. Am J Transl Res 2022; 14:4776-4785. [PMID: 35958444 PMCID: PMC9360855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate the clinical significance of tumor response assessment at a twentieth fraction of radiotherapy when predicting the survival of patients with potentially resectable esophageal squamous cell carcinoma (ESCC). METHODS A total of 123 ESCC patients with clinical stages II to IVa were enrolled and analyzed. Gross tumor volume (GTV) of the esophagus (GTVe) and GTV of the metastatic lymph node (GTVnd) were manually contoured by at least 2 senior professional radiotherapists on the simulated computed tomography (CT) images in a process that followed the delineating rules for ESCC. RESULTS The GTVe reduction ratio (RR) and GTVnd RR were calculated based on the evaluation of the tumor volume at a twentieth fraction of radiotherapy. Univariate analysis showed that GTVe and GTVnd before treatment, and GTVe RR and GTVnd RR at the twentieth fraction of radiotherapy were all significantly associated with complete clinical response (cCR) and overall survival (OS). The Kaplan-Meier method was used to estimate OS and locoregional recurrence-free survival (LRRFS). CONCLUSIONS The GTVe RR ≥27.92% and GTVnd RR ≥21.49% at a twentieth fraction of radiotherapy are positive predictive factors of LRRFS, and according to multivariate analysis, only GTVe RR at the twentieth fraction of radiotherapy ≥27.92% is prognostic for a favorable OS.
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Affiliation(s)
- Duojie Li
- Jinan UniversityGuangzhou, Guangdong, China
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical CollegeBengbu, Anhui, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical CollegeBengbu, Anhui, China
| | - Qun Zhang
- Jinan UniversityGuangzhou, Guangdong, China
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical CollegeBengbu, Anhui, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical CollegeBengbu, Anhui, China
| | - Yan Yang
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical CollegeBengbu, Anhui, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical CollegeBengbu, Anhui, China
| | - Hongmei Yin
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical CollegeBengbu, Anhui, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical CollegeBengbu, Anhui, China
| | - Chaomang Zhu
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical CollegeBengbu, Anhui, China
- Anhui Province Key Laboratory of Translational Cancer Research, Bengbu Medical CollegeBengbu, Anhui, China
| | - Xianming Li
- Jinan UniversityGuangzhou, Guangdong, China
- Department of Radiation Oncology, The Second Clinical Medical College (Shenzhen People’s Hospital) of Jinan UniversityShenzhen, Guangdong, China
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Cai P, Yang Y, Li DJ. Efficacy and Prognostic Analysis of 315 Stage I-IVa Esophageal Cancer Patients Treated with Simultaneous Integrated Boost-Intensity-Modulated Radiation Therapy. Cancer Manag Res 2021; 13:6969-6975. [PMID: 34522139 PMCID: PMC8434855 DOI: 10.2147/cmar.s329625] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 09/01/2021] [Indexed: 01/24/2023] Open
Abstract
Purpose Use of simulated integrated boost-intensity-modulated radiation therapy (SIB-IMRT) is rarely reported in the treatment of esophageal cancer. This study was performed to observe the curative effect and prognostic factors associated with concurrent chemoradiotherapy for esophageal cancer using modern radiotherapy (RT) techniques. Patients and Methods In total, 315 patients with esophageal squamous cell carcinoma who received SIB-IMRT between 2015 and 2018 were included in this retrospective study. Median doses were planning target volume (PTV) 5400 cGy, 30 times (180cGy/fraction); planning gross tumor volume (PGTV) 6000 cGy, 30 times (200 cGy/fraction), once a day and 5 times a week. The entire period of RT was 6 weeks. Overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and adverse reactions were observed. Univariate analysis was performed, and factors with P<0.15 were included in multivariate analysis. Cox regression analysis was used for multivariate prognostic analysis. P<0.05 was considered statistically significant. The incidence of adverse reactions under single chemotherapy concurrent chemoradiotherapy (sCCRT) and double chemotherapy concurrent chemoradiotherapy (dCCRT) was analyzed. Results Two-year, 3-year OS and PFS of the entire group were 49.5%, 40.2% and 40.3%, 34.0%, and the median survival time was 23.5 months. Univariate and multivariate analyses showed that T-stage (P=0.049), N-stage (P=0.024), clinical stage (P=0.041), short-term efficacy (P<0.001), and use of concurrent chemotherapy (P<0.001) were the influencing factors for OS. ORR was 87.6%. Adverse reactions were significantly increased with increasing chemotherapy dose. Conclusion The adverse reactions of SIB-IMRT in esophageal cancer can be tolerated. T-stage, N-stage, clinical stage, short-term curative effect, and concurrent chemotherapy are the prognostic factors affecting survival. Because it has lower toxicity and is as effective as dCCRT, sCCRT should be considered in the management of esophageal cancer.
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Affiliation(s)
- Peng Cai
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China
| | - Yan Yang
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China
| | - Duo-Jie Li
- Department of Radiotherapy, The First Affiliated Hospital of Bengbu Medical College, Bengbu, 233004, People's Republic of China
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