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Zhao Z, Wang H, Liu Y, Li M, Li M. Abdominal lymph node metastasis in non-surgical esophageal squamous cell carcinoma: prognostic significance and a novel staging strategy. Front Oncol 2023; 13:1234426. [PMID: 37876971 PMCID: PMC10591313 DOI: 10.3389/fonc.2023.1234426] [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: 06/04/2023] [Accepted: 09/21/2023] [Indexed: 10/26/2023] Open
Abstract
Purpose This study aimed to evaluate the feasibility of a combination of abdominal lymph node (LN) metastasis and the number of LNs in esophageal squamous cell carcinoma (ESCC) patients to optimize its clinical nodal staging. Methods A retrospective study, including a total of 707 ESCC patients treated with definitive radiotherapy, was conducted at two participating institutes. Different combinations of LN variables, including abdominal LN metastasis (R1: no-abdominal LN metastasis; R2: abdominal LN metastasis), were further analyzed to propose a potential revised nodal (rN) staging. Results The multivariate analyses showed that the number of metastatic LN and abdominal LN metastasis were independent prognostic factors for the overall survival (OS). The results showed no significant differences in the OS between the N2 patients with abdominal LN metastasis and N3 patients. The OS of the stage III patients with abdominal LN metastasis was not significantly different from those with stage IVa. The N3R1 and N1-2R2 had similar hazard ratios (HRs). The N1R1 subset was defined as rN1, the N2R1 subset was defined as rN2, and the N3R1-2 and N1-2R2 subsets were defined as rN3. The HRs of OS of the rN2 and rN3 groups increased subsequently. The rN stage could identify the differences in the OS times of each subgroup based on the 8th AJCC cN staging or the 11th JES N staging. Conclusions The rN staging, including the number of metastatic LNs and abdominal LN metastasis, might serve as a potential prognostic predictor for non-surgical patients with ESCC.
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Affiliation(s)
- Zongxing Zhao
- Department of Radiation Oncology, Liaocheng People’s Hospital, Shandong First Medical University, Liaocheng, Shandong, China
| | - Hongmin Wang
- Joint Laboratory for Translational Medicine Research, Liaocheng People’s Hospital, Shandong First Medical University, Liaocheng, Shandong, China
| | - Yajing Liu
- Clinical Laboratory, Liaocheng Third People’s Hospital, Liaocheng, Shandong, China
| | - Minghuan Li
- Department of Radiation Oncology, Shandong Cancer Hospital, Shandong First Medical University, Jinan, Shandong, China
| | - Mingjun Li
- Department of Radiation Oncology, Liaocheng People’s Hospital, Shandong First Medical University, Liaocheng, Shandong, China
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Li K, Lin Y, Zhou Y, Xiong X, Wang L, Li J, Zhou F, Guo Y, Chen S, Chen Y, Tang H, Qiu X, Cai S, Zhang D, Bremer E, Jim Yeung SC, Zhang H. Salivary Extracellular MicroRNAs for Early Detection and Prognostication of Esophageal Cancer: A Clinical Study. Gastroenterology 2023; 165:932-945.e9. [PMID: 37399999 DOI: 10.1053/j.gastro.2023.06.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 06/15/2023] [Accepted: 06/27/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND & AIMS Early detection of esophageal squamous cell carcinoma (ESCC) will facilitate curative treatment. We aimed to establish a microRNA (miRNA) signature derived from salivary extracellular vesicles and particles (EVPs) for early ESCC detection and prognostication. METHODS Salivary EVP miRNA expression was profiled in a pilot cohort (n = 54) using microarray. Area under the receiver operator characteristic curve (AUROC) and least absolute shrinkage and selector operation regression analyses were used to prioritize miRNAs that discriminated patients with ESCC from controls. Using quantitative reverse transcription polymerase chain reaction, the candidates were measured in a discovery cohort (n = 72) and cell lines. The prediction models for the biomarkers were derived from a training cohort (n = 342) and validated in an internal cohort (n = 207) and an external cohort (n = 226). RESULTS The microarray analysis identified 7 miRNAs for distinguishing patients with ESCC from control subjects. Because 1 was not always detectable in the discovery cohort and cell lines, the other 6 miRNAs formed a panel. A signature of this panel accurately identified patients with all-stage ESCC in the training cohort (AUROC = 0.968) and was successfully validated in 2 independent cohorts. Importantly, this signature could distinguish patients with early-stage (stage Ⅰ/Ⅱ) ESCC from control subjects in the training cohort (AUROC = 0.969, sensitivity = 92.00%, specificity = 89.17%) and internal (sensitivity = 90.32%, specificity = 91.04%) and external (sensitivity = 91.07%, specificity = 88.06%) validation cohorts. Moreover, a prognostic signature based on the panel was established and efficiently predicted the high-risk cases with poor progression-free survival and overall survival. CONCLUSIONS The salivary EVP-based 6-miRNA signature can serve as noninvasive biomarkers for early detection and risk stratification of ESCC. Chinese Clinical Trial Registry, ChiCTR2000031507.
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Affiliation(s)
- Kai Li
- Department of Urology, Guangdong Second Provincial General Hospital, Faculty of Medical Science and Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong, China; Institute of Precision Cancer Medicine and Pathology, Jinan University Medical College, Guangzhou, Guangdong, China
| | - Yusheng Lin
- Institute of Precision Cancer Medicine and Pathology, Jinan University Medical College, Guangzhou, Guangdong, China; Department of Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands; Graduate School, Shantou University Medical College, Shantou, Guangdong, China
| | - Yu Zhou
- Institute of Precision Cancer Medicine and Pathology, Jinan University Medical College, Guangzhou, Guangdong, China
| | - Xiao Xiong
- Department of Urology, Guangdong Second Provincial General Hospital, Faculty of Medical Science and Integrated Chinese and Western Medicine Postdoctoral Research Station, Jinan University, Guangzhou, Guangdong, China
| | - Lu Wang
- Institute of Precision Cancer Medicine and Pathology, Jinan University Medical College, Guangzhou, Guangdong, China
| | - Junkuo Li
- Department of Thoracic Surgery, Anyang Tumor Hospital, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang, Henan, China
| | - Fuyou Zhou
- Department of Thoracic Surgery, Anyang Tumor Hospital, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang, Henan, China
| | - Yi Guo
- Endoscopy Center, Affiliated Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Shaobin Chen
- Department of Thoracic Surgery, Affiliated Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Yuping Chen
- Department of Thoracic Surgery, Affiliated Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Hui Tang
- Department of Central Laboratory, The First Affiliated Hospital of Jinan University, Guangzhou, China; Department of Clinical Laboratory, The Fifth Affiliated Hospital of Jinan University (Heyuan Shenhe People's Hospital), Heyuan, China
| | - Xiaofu Qiu
- Department of Urology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China
| | - Songwang Cai
- Department of Thoracic Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China
| | - Dianzheng Zhang
- Department of Bio-Medical Sciences, Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania
| | - Edwin Bremer
- Department of Hematology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Sai-Ching Jim Yeung
- Department of Emergency Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Hao Zhang
- Department of Urology, Guangdong Second Provincial General Hospital, Guangzhou, Guangdong, China; Department of General Surgery, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China; Institute of Precision Cancer Medicine and Pathology, School of Medicine, Minister of Education Key Laboratory of Tumor Molecular Biology, Jinan University, Guangzhou, China.
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Tian D, Jiang KY, Yang YS, Yan HJ, Yu RX, Huang H, Jian SH, Zhou HN, Wen HY, Chen LQ. Pararespiratory and paradigestive lymph node metastases in esophageal squamous cell carcinoma: predicting survival and refining the N staging system. BMC Cancer 2023; 23:695. [PMID: 37488497 PMCID: PMC10367276 DOI: 10.1186/s12885-023-11055-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 06/10/2023] [Indexed: 07/26/2023] Open
Abstract
BACKGROUND The site of lymph node metastasis (LNM) may affect the prognosis of patients with esophageal squamous cell carcinoma (ESCC). To investigate the prognoses of pararespiratory and paradigestive LNM and to propose a novel N (nN) staging system that integrates both the LNM site and count. METHODS This study was a multicenter, large-sample, retrospective cohort study that included ESCC patients with LNM between January 2014 and December 2019 from three Chinese institutes. Patients were set into training (two institutes) and external validation (one institute) cohorts. The primary outcomes were survival differences in LNM site and the development of novel nodal staging system. The overall survival (OS) of patients with pararespiratory LNM only (Group A), paradigestive LNM only (Group B), and both sites (Group C) was evaluated by Kaplan-Meier. Cox proportional hazards models were used to identify the independent prognostic factors. An nN staging system considering both the LNM site and count was developed and evaluated by the area under the receiver operating characteristic curve (AUC). RESULTS In total, 1313 patients were included and split into training (n = 1033) and external validation (n = 280) cohorts. There were 342 (26.0%), 568 (43.3%) and 403 (30.7%) patients in groups A, B and C, respectively. The OS of patients with pararespiratory and patients with paradigestive LNM presented significant differences in the training and validation cohorts (P < 0.050). In the training cohort, LNM site was an independent prognostic factor (hazard ratio: 1.58, 95% confidence intervals: 1.41-1.77, P < 0.001). The nN staging definition: nN1 (1-2 positive pararespiratory/paradigestive LNs), nN2 (3-6 pararespiratory LNs or 1 pararespiratory with 1paradigestive LN), nN3 (3-6 LNs with ≥ 1 paradigestive LN), nN4 (≥ 7 LNs). Subsets of patients with different nN stages showed significant differences in OS (P < 0.050). The prognostic model of the nN staging system presented higher performance in the training and validation cohorts at 3-year OS (AUC, 0.725 and 0.751, respectively) and 5-year OS (AUC, 0.740 and 0.793, respectively) than the current N staging systems. CONCLUSIONS Compared to pararespiratory LNM, the presence of paradigestive LNM is associated with worse OS. The nN staging system revealed superior prognostic ability than current N staging systems.
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Affiliation(s)
- Dong Tian
- Department of Thoracic Surgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
- Department of Cardiothoracic Intensive Care Unit, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Kai-Yuan Jiang
- Department of Surgery, Tohoku University Graduate School of Medicine, Sendai, 980-8575, Japan
| | - Yu-Shang Yang
- Department of Thoracic Surgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China
| | - Hao-Ji Yan
- College of Medical Imaging, North Sichuan Medical College, Nanchong, 637000, China
| | - Rui-Xuan Yu
- Department of Thoracic Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Heng Huang
- Department of Cardiothoracic Intensive Care Unit, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Shun-Hai Jian
- Department of Pathology, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Hai-Ning Zhou
- Department of Thoracic Surgery, Suining Central Hospital, Suining, 629000, China
| | - Hong-Ying Wen
- Department of Cardiothoracic Intensive Care Unit, Affiliated Hospital of North Sichuan Medical College, Nanchong, 637000, China
| | - Long-Qi Chen
- Department of Thoracic Surgery, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu, 610041, China.
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Han W, Deng W, Wang Q, Ni W, Li C, Zhou Z, Liang J, Chen D, Feng Q, Bi N, Zhang T, Wang X, Deng L, Wang W, Liu W, Wang J, Xue Q, Mao Y, Liu X, Fang D, Li J, Wang D, Zhao J, Xiao Z. Applying post-neoadjuvant pathologic stage as prognostic tool in esophageal squamous cell carcinoma. Front Oncol 2022; 12:998238. [PMID: 36439431 PMCID: PMC9685303 DOI: 10.3389/fonc.2022.998238] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 09/23/2022] [Indexed: 09/20/2023] Open
Abstract
BACKGROUND It is still uncertain whether the newly released eighth American Joint Committee on Cancer (AJCC) post-neoadjuvant pathologic (yp) tumor-node-metastasis (TNM) stage for esophageal carcinoma can perform well regarding patient stratification. The current study aimed to assess the prognostication ability of the eighth AJCC ypTNM staging system and attempted to explore how to facilitate the staging system for more effective evaluation of prognosis. MATERIALS AND METHODS A total of 486 patients treated with neoadjuvant radiotherapy/chemoradiotherapy (nRT/CRT) were enrolled. ypN stage was reclassified by recursive partitioning. Prognostic performance, monotonicity, homogeneity, and discriminatory of yp and modified yp (myp) staging systems were assessed by time-dependent receiver operating characteristic (ROC), linear trend log-rank test, likelihood ratio χ2 test, Harrell's c statistic, and Akaike information criterion (AIC). RESULTS The ypT stage, ypN stage, and pathologic response were significant prognostic factors of overall survival. Survival was not discriminated well using the eighth AJCC ypN stage and ypTNM stage. Recursive partitioning reclassified mypN0-N2 as metastasis in 0, 1-2, and ≥3 regional lymph nodes. Applying the ypT stage, mypN stage, and pathologic response to construct the myp staging system, the myp stage performed better in time-dependent ROC, linear trend log-rank test, likelihood ratio χ2 test, Harrell's c statistic, and AIC. CONCLUSIONS The eighth AJCC ypTNM staging system performed well in differentiating prognosis to some extent. By reclassifying the ypN stage and enrolling pathologic response as a staging element, the myp staging system holds significant potential for prognostic discrimination.
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Affiliation(s)
- Weiming Han
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wei Deng
- Department of Radiation Oncology, Peking University School of Oncology, Beijing Cancer Hospital and Beijing Institute for Cancer Research, Beijing, China
| | - Qifeng Wang
- Radiation Oncology Key Laboratory of Sichuan Province, Department of Radiation Oncology, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Wenjie Ni
- Department of Radiation Oncology, Beijing Shijitan Hospital, Capital Medical University, Ninth School of Clinical Medicine, Peking University, School of Oncology, Capital Medical University, Beijing, China
| | - Chen Li
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zongmei Zhou
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Liang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dongfu Chen
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qinfu Feng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Nan Bi
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tao Zhang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lei Deng
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenqing Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Wenyang Liu
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jianyang Wang
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Xue
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yousheng Mao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyang Liu
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dekang Fang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jian Li
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Dali Wang
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jun Zhao
- Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zefen Xiao
- Department of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Zhu L, Zhao Z, Liu A, Wang X, Geng X, Nie Y, Zhao F, Li M. Lymph node metastasis is not associated with survival in patients with clinical stage T4 esophageal squamous cell carcinoma undergoing definitive radiotherapy or chemoradiotherapy. Front Oncol 2022; 12:774816. [PMID: 36185192 PMCID: PMC9516552 DOI: 10.3389/fonc.2022.774816] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 08/15/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundClinical T4 stage (cT4) esophageal tumors are difficult to be surgically resected, and definitive radiotherapy (RT) or chemoradiotherapy (dCRT) remains the main treatment. The study aims to analyze the association between the status of lymph node (LN) metastasis and survival outcomes in the cT4 stage esophageal squamous cell carcinoma (ESCC) patients that underwent treatment with dCRT or RT.MethodsThis retrospective study analyzed the clinical data of 555 ESCC patients treated with dCRT or RT at the Shandong Cancer Hospital and the Liaocheng People’s Hospital from 2010 to 2017. Kaplan–Meier and Cox regression analyses was performed to determine the relationship between LN metastasis and survival outcomes of cT4 and non-cT4 ESCC patients. The chi-square test was used to evaluate the differences in the local and distal recurrence patterns in the ESCC patients belonging to various clinical T stages.ResultsThe 3-year survival rates for patients with non-cT4 ESCC and cT4 ESCC were 47.9% and 30.8%, respectively. The overall survival (OS) and progression-free survival (PFS) rates were strongly associated with the status of LN metastasis in the entire cohort (all P < 0.001) and the non-cT4 group (all P < 0.001) but not in the cT4 group. The local recurrence rates were 60.7% for the cT4 ESCC patients and 45.1% for the non-cT4 ESCC patients (P < 0.001). Multivariate analysis showed that clinical N stage (P = 0.002), LN size (P = 0.007), and abdominal LN involvement (P = 0.011) were independent predictors of favorable OS in the non-cT4 group. However, clinical N stage (P = 0.824), LN size (P = 0.383), and abdominal LN involvement (P = 0.337) did not show any significant correlation with OS in the cT4 ESCC patients.ConclusionsOur data demonstrated that the status of LN metastasis did not correlate with OS in the cT4 ESCC patients that received dCRT or RT. Furthermore, the prevalence of local recurrence was higher in the cT4 ESCC patients.
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Affiliation(s)
- Liqiong Zhu
- Department of Clinical Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Department of Radiation Oncology, Liaocheng People’s Hospital, Liaocheng, China
| | - Zongxing Zhao
- Department of Radiation Oncology, Liaocheng People’s Hospital, Liaocheng, China
| | - Ao Liu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- School of Medicine, Shandong University, Jinan, China
| | - Xin Wang
- National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (CAMS) and Peking Union Medical College (PUMC), Beijing, China
| | - Xiaotao Geng
- Department of Radiation Oncology, Weifang People’s Hospital, Weifang, China
| | - Yu Nie
- Department of Clinical Medicine, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Fen Zhao
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Fen Zhao ; Minghuan Li,
| | - Minghuan Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- *Correspondence: Fen Zhao ; Minghuan Li,
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Zhao Z, Huang X, Gu T, Chen Z, Gan L, Zhu B, Wu N. Predicting Individual Survival after Curative Esophagectomy for Squamous Cell Carcinoma of Esophageal. Gastroenterol Res Pract 2021; 2021:5595718. [PMID: 33883995 PMCID: PMC8041542 DOI: 10.1155/2021/5595718] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/01/2021] [Accepted: 03/09/2021] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Esophageal cancer is one of the leading causes of cancer-related death worldwide. Despite the significant progress in the overall treatment of esophageal cancer in recent years, the prognosis for patients who require surgery remains poor. METHODS The present study investigated the clinicopathological features of 503 patients who underwent radical esophagectomy at Huashan Hospital of Fudan University between January 2005 and January 2015. Nomograms that predicted the esophageal squamous cell carcinoma (ESCC) survival rates were established using the Cox proportional hazard regression model. Discrimination and calibration, which were calculated after bootstrapping, were used as a measure of accuracy. RESULTS Multivariate analyses were used to select five independent prognostic variables and build the nomogram. These variables were pathological T stage, pathological N factor, rate of positive LNs, history of chronic obstructive pulmonary disease (COPD) and postoperative sepsis. The nomogram was built to predict the rates for overall survival (OS) and disease-free survival (DFS). The concordance index for the nomogram prediction for OS and DFS was 0.720 and 0.707, respectively. Compared to the conventional TNM staging system, the nomogram had better predictive accuracy for survival (OS 0.720 vs. 0.672, P < 0.001; DFS 0.707 vs. 0.667; P < 0.001). CONCLUSIONS The present study incorporated pathological T stage, pathological N factor, rate of positive LNs, history of COPD, and postoperative sepsis into a nomogram to predict the OS and DFS of ESCC patients. This practical system may help clinicians in both decision-making and clinical study design. The assessment of lung function for patients with COPD preoperative, and the control of disease progression are needed. Furthermore, the postoperative infection of patients should be controlled. Further studies may help to extend the validation of this method and improve the model through parameter optimization.
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Affiliation(s)
- Zhiyong Zhao
- Intensive Care Unit, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Xiaolong Huang
- Intensive Care Unit, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | - Ting Gu
- Intensive Care Unit, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhu Chen
- Intensive Care Unit, The First Affiliated Hospital of Xiamen University, Xiamen, China
| | | | - Biao Zhu
- Intensive Care Unit, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Ning Wu
- Department of Cardio-Thoracic Surgery, Huashan Hospital of Fudan University, Shanghai, China
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Zhao Z, Zhang Y, Wang P, Wang X, Li M. The impact of the nodal status on the overall survival of non-surgical patients with esophageal squamous cell carcinoma. Radiat Oncol 2019; 14:161. [PMID: 31481064 PMCID: PMC6724275 DOI: 10.1186/s13014-019-1365-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2019] [Accepted: 08/21/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The prognosis of N categories for patients with non-surgical esophageal carcinoma based on the number of metastatic lymph nodes is controversial. The present study analyzes prognostic implications of the number, extent, and size of metastatic lymph nodes for patients with esophageal squamous cell carcinoma (ESCC) treated with definitive (chemo-)radiotherapy to provide more information on treatment strategy. METHODS We reviewed 357 ESCC patients treated with definitive radiotherapy between January 2013 and March 2016 retrospectively. We assessed potential associations between the involved extent (N0, 1 region, 2 regions, and 3 regions), number (N0, 1-2, 3-6, and ≥ 7), and size (N0, ≤2 cm, and > 2 cm) of metastatic lymph nodes and overall survival. Multivariate analyses of the clinicopathological factors were performed using the Cox proportional hazard model. RESULTS 5-year survival rates were 43.6% for patients in the N0 group and 29.3% in the N+ group (p = 0.001). Kaplan-Meier analyses for all cases revealed that there were significant differences in survival based on the extent (the OS rates at 3 years were 53.3% for patients in the N0 group, 45.7% in the 1 region-involved group, 28.0% in the 2 regions-involved group, and 13.3% in the 3 regions-involved group, P < 0.001), number (the OS rates at 3 years were 49.0% for patients in the 1-2 LNs group, 27.8% in the 3-6 LNs group, 0 in the ≥7LNs group, P < 0.001), and size (the OS rates at 3 years were 41.6% for patients in the LNs ≤2 cm group and 20.7% in the LNs > 2 cm group, P = 0.001) of metastatic LNs. One hundred seventy-two patients (48.2%) had experienced GTV failure, 157 (43.1%) had distant failure, 49 (13.7%) had out-of-GTV nodal failure, and 70 patients (19.6%) had no evidence of disease at the last follow-up. Nodal status correlated statistically with GTV failure. Patients with LN metastases in the abdominal region had worse survival rates than those with metastases in the other regions. The extent and number of metastatic LNs, T category, Primary tumor location, and chemotherapy were independent prognostic factors of OS in multivariate analyses. CONCLUSIONS For patients with ESCC who received definitive (chemo-)radiotherapy, the number, extent, and size of metastatic LNs were prognostic factors, particularly of the T2/3 disease. Patients with LN metastases in the abdominal region had worse survival.
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Affiliation(s)
- Zongxing Zhao
- School of Medicine, Shandong University, Jinan, Shandong, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China.,Department of Radiation Oncology, Liaocheng People's Hospital, Liaocheng, Shandong, China
| | - Yanan Zhang
- Department of Health Care, Liaocheng People's Hospital, Liaocheng, Shandong, China
| | - Peiliang Wang
- School of Medicine, Shandong University, Jinan, Shandong, China.,Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China
| | - Xin Wang
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China.,Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Minghuan Li
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Jinan, Shandong, China.
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8
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Yuan Y, Hong HG, Zeng X, Xu LY, Yang YS, Shang QX, Yang H, Li Y, Li Y, Wu ZY, Fu JH, Yao XD, Xu XE, Wu JY, Chen LQ. Lymph Node Station-Based Nodal Staging System for Esophageal Squamous Cell Carcinoma: A Large-Scale Multicenter Study. Ann Surg Oncol 2019; 26:4045-4052. [DOI: 10.1245/s10434-019-07601-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Indexed: 12/30/2022]
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9
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Ferguson BD. Setting the Stage for Esophageal Cancer: Bulk versus Breadth. Ann Surg Oncol 2019; 26:3805-3806. [PMID: 31286309 DOI: 10.1245/s10434-019-07605-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Indexed: 11/18/2022]
Affiliation(s)
- Benjamin D Ferguson
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York, C-1272, New York, NY, 10065, USA.
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10
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Hu K, Kang N, Liu Y, Guo D, Jing W, Lu J, Tan T, Lv C, Deng Y, Long J, Wang R, Yu J. Proposed revision of N categories to the 8th edition of the AJCC-TNM staging system for non-surgical esophageal squamous cell cancer. Cancer Sci 2018; 110:717-725. [PMID: 30467921 PMCID: PMC6361553 DOI: 10.1111/cas.13891] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2018] [Revised: 10/17/2018] [Accepted: 11/19/2018] [Indexed: 02/06/2023] Open
Abstract
The 8th edition of the American Joint Committee on Cancer Tumor‐Node‐Metastasis (AJCC‐TNM) staging system for esophageal cancer (EC) retained the definition of N categories based on the number of metastatic lymph nodes (LN). However, it is difficult to accurately determine the number of metastatic LN without surgery. This study aimed to propose a revision to the N categories of the 8th edition AJCC‐TNM staging system that makes staging easier to perform and better represents the prognosis of non‐surgical esophageal squamous cell cancer (ESCC). We retrospectively reviewed the data of 336 patients with ESCC. The revised N categories were based on the anatomic regions of LN metastasis (cervix, thorax and abdomen). Survival was analyzed using the Kaplan‐Meier method and compared using the log‐rank test. Multivariate analyses were performed using the Cox proportional hazard model. Survival differences were adequately discriminated when the revised N categories were used. Subgroup analyses by T stage showed significant difference in overall survival between the revised N categories. Multivariate analyses demonstrated that T stage, revised N category, age, sex and treatment modality were independent risk factors, with the revised N category being the most significant variable. The revised N categories determined in this study can be used to fill gaps in the staging system for patients with non‐surgical ESCC, which can help clinicians to make better treatment decisions and more effectively predict patient prognoses. Future large‐scale studies are required to validate these results.
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Affiliation(s)
- Kai Hu
- School of Medicine, Shandong University, Jinan, Shandong, China.,Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.,Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Ning Kang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Yang Liu
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China.,School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Dong Guo
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China.,Weifang Medical University, Weifang, Shandong, China
| | - Wang Jing
- Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
| | - Jiamei Lu
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Tianmeng Tan
- Pre-Clinical Faculty of Guangxi Medical University, Nanning, Guangxi, China
| | - Caitiao Lv
- Pre-Clinical Faculty of Guangxi Medical University, Nanning, Guangxi, China
| | - Yuyan Deng
- Pre-Clinical Faculty of Guangxi Medical University, Nanning, Guangxi, China
| | - Jianxiong Long
- School of Public Health of Guangxi Medical University, Nanning, Guangxi, China
| | - Rensheng Wang
- Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China
| | - Jinming Yu
- School of Medicine, Shandong University, Jinan, Shandong, China.,Department of Radiation Oncology, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, China
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11
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Mo R, Chen C, Pan L, Yu A, Wang D, Wang T. Is the new distribution of early esophageal adenocarcinoma stages improving the prognostic prediction of the 8 th edition of the TNM staging system for esophageal cancer? J Thorac Dis 2018; 10:5192-5198. [PMID: 30416766 DOI: 10.21037/jtd.2018.08.98] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Background The 8th edition of the American Joint Committee on Cancer (AJCC)/Union for International Cancer Control (UICC) staging system released in 2017 reclassified the pTNM stage of early esophageal adenocarcinoma from stage IA in the 7th edition to stage IA and IB and from stage IB in the 7th edition to stage IC. In this study, we analyzed the reliability of the new staging system through clinical data analysis. Methods We selected patient data from the Surveillance, Epidemiology, and End Results (SEER) database. From 2004 to 2014, data for a total of 714 patients were included in the study and were divided into groups representing stage IA (n=84), IB (n=386) and IC (n=244) according to the 8th edition. Results In the 8th edition, there was no significant difference between groups IA and IB in overall survival (OS) (P=0.331) or esophageal cancer-specific survival (ECSS) (P=0.341). However, the long-term survival rates of groups IA and IB were significantly higher than those of group IC. Cox regression analysis indicated that the use of new staging system does not affect prognosis. We also attempted to stratify the tumors by T stage and histological grade but found no significant difference. Conclusions We used the SEER database to compare the staging of early esophageal adenocarcinomas between the 8th and 7th editions of the AJCC/UICC TNM staging system. Based on our data, the 8th edition is not superior to the 7th edition.
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Affiliation(s)
- Ran Mo
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University, Nanjing 210008, China
| | - Chen Chen
- Department of Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University, Nanjing 210008, China
| | - Liang Pan
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University, Nanjing 210008, China
| | - Ao Yu
- Medical School of Southeast University, Nanjing 210018, China
| | - Dongjin Wang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University, Nanjing 210008, China
| | - Tao Wang
- Department of Cardiothoracic Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University, Nanjing 210008, China
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12
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Wang WP, He SL, Yang YS, Chen LQ. Strategies of nodal staging of the TNM system for esophageal cancer. ANNALS OF TRANSLATIONAL MEDICINE 2018; 6:77. [PMID: 29666800 DOI: 10.21037/atm.2017.12.17] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The 8th edition of UICC/AJCC TNM staging for esophageal cancer will start in use since 2018. The nodal staging in this version of TNM system remains unchanged from the 7th edition that based on the number of lymph nodes (LN) involved, except the limited revision of the regional LN map. In this review, N staging revision was evaluated from its initially simple definition of negative (N0) and positive (N1) LN(s) to the current positive node number based proposal. Meanwhile the disadvantages of current N staging were discussed. The refined nodal staging system in view of the number of metastatic node stations was introduced; as well as the extent and station of metastatic node could better reflect the disease progression and prognosis. The controversy on N staging of esophagogastric junction cancer was also discussed. Other reported N staging associated elements including LN ratio and lymphatic vessel invasion were reviewed and evaluated.
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Affiliation(s)
- Wen-Ping Wang
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Song-Lin He
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Yu-Shang Yang
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
| | - Long-Qi Chen
- Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China
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Gaitanidis A, Patel D, Nilubol N, Tirosh A, Kebebew E. A Lymph Node Ratio-Based Staging Model Is Superior to the Current Staging System for Pancreatic Neuroendocrine Tumors. J Clin Endocrinol Metab 2018; 103:187-195. [PMID: 29069375 PMCID: PMC5761495 DOI: 10.1210/jc.2017-01791] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Accepted: 10/17/2017] [Indexed: 12/22/2022]
Abstract
CONTEXT The incidence of pancreatic neuroendocrine tumors (PNETs) is increasing. Current staging systems include nodal positivity, but the association of lymph node status and worse survival is controversial. OBJECTIVE The study aim was to determine the prognostic significance of lymph node ratio (LNR) and compare it with nodal positivity for PNET. DESIGN, SETTING, PARTICIPANTS, AND INTERVENTION A retrospective analysis of the Surveillance, Epidemiology, and End Results database between 2004 and 2011 was performed in patients who underwent a pancreatectomy with lymphadenectomy. The primary outcome was disease-specific survival (DSS). RESULTS Of the 896 patients analyzed, T stage, N stage, distant metastasis, grade, extent of resection, sex, and age ≥57 years were significantly associated with worse DSS on univariate analysis. On multivariate analysis, age ≥57 [hazard ratio (HR) 1.75, 95% confidence interval (CI), 1.12 to 2.74, P = 0.015], male sex (HR 1.58; 95% CI, 1.01 to 2.48; P = 0.046), grade (poorly differentiated/undifferentiated: HR 7.59; 95% CI, 4.71 to 12.23; P < 0.001), distant metastases (HR 2.45; 95% CI, 1.58 to 3.79; P < 0.001), and partial pancreatectomy (HR 2.55; 95% CI, 1.2 to 5.4; P = 0.015) were associated with worse DSS. Comparison between staging models constructed based on LNR cutoffs and the American Joint Committee on Cancer (AJCC) eighth edition staging system revealed that a model based on LNR ≥0.5 was superior. CONCLUSIONS LNR ≥0.5 is independently associated with worse DSS. A staging system with LNR ≥0.5 was superior to the current AJCC eighth edition staging system.
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Affiliation(s)
- Apostolos Gaitanidis
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
- Department of Surgery, Democritus University of Thrace Medical School, 68100 Alexandroupoli, Greece
| | - Dhaval Patel
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Naris Nilubol
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
| | - Amit Tirosh
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Electron Kebebew
- Endocrine Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892
- Department of Surgery, The George Washington University School of Medicine and Health Sciences, Washington, District of Columbia 20052
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14
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Numeric pathologic lymph node classification shows prognostic superiority to topographic pN classification in esophageal squamous cell carcinoma. Surgery 2017; 162:846-856. [PMID: 28739092 DOI: 10.1016/j.surg.2017.06.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2017] [Revised: 06/19/2017] [Accepted: 06/19/2017] [Indexed: 01/20/2023]
Abstract
BACKGROUND The current eighth tumor node metastasis lymph node category pathologic lymph node staging system for esophageal squamous cell carcinoma is based solely on the number of metastatic nodes and does not consider anatomic distribution. We aimed to assess the prognostic capability of the eighth tumor node metastasis pathologic lymph node staging system (numeric-based) compared with the 11th Japan Esophageal Society (topography-based) pathologic lymph node staging system in patients with esophageal squamous cell carcinoma. METHODS We retrospectively reviewed the clinical records of 289 patients with esophageal squamous cell carcinoma who underwent esophagectomy with extended lymph node dissection during the period from January 2006 through June 2016. We compared discrimination abilities for overall survival, recurrence-free survival, and cancer-specific survival between these 2 staging systems using C-statistics. RESULTS The median number of dissected and metastatic nodes was 61 (25% to 75% quartile range, 45 to 79) and 1 (25% to 75% quartile range, 0 to 3), respectively. The eighth tumor node metastasis pathologic lymph node staging system had a greater ability to accurately determine overall survival (C-statistics: tumor node metastasis classification, 0.69, 95% confidence interval, 0.62-0.76; Japan Esophageal Society classification; 0.65, 95% confidence interval, 0.58-0.71; P = .014) and cancer-specific survival (C-statistics: tumor node metastasis classification, 0.78, 95% confidence interval, 0.70-0.87; Japan Esophageal Society classification; 0.72, 95% confidence interval, 0.64-0.80; P = .018). Rates of total recurrence rose as the eighth tumor node metastasis pathologic lymph node stage increased, while stratification of patients according to the topography-based node classification system was not feasible. CONCLUSION Numeric nodal staging is an essential tool for stratifying the oncologic outcomes of patients with esophageal squamous cell carcinoma even in the cohort in which adequate numbers of lymph nodes were harvested.
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15
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Fu X, Liu Q, Luo K, Wen J, Yang H, Hu Y, Wang X, Lin P, Fu J. Lymph node station ratio: Revised nodal category for resected esophageal squamous cell carcinoma patients. J Surg Oncol 2017; 116:939-946. [DOI: 10.1002/jso.24758] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 06/10/2017] [Indexed: 01/17/2023]
Affiliation(s)
- Xiayu Fu
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Qianwen Liu
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Kongjia Luo
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Jing Wen
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Hong Yang
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Yi Hu
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Xinye Wang
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Peng Lin
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
| | - Jianhua Fu
- Department of Thoracic Oncology; Sun Yat-sen University Cancer Centre; Guangzhou China
- State Key Laboratory of Oncology in South China, Guangdong Esophageal Cancer Institute; Collaborative Innovation Centre of Cancer Medicine; Guangzhou China
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Systemic Immune-Inflammation Index Predicts Prognosis of Patients with Esophageal Squamous Cell Carcinoma: A Propensity Score-matched Analysis. Sci Rep 2016; 6:39482. [PMID: 28000729 PMCID: PMC5175190 DOI: 10.1038/srep39482] [Citation(s) in RCA: 150] [Impact Index Per Article: 18.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2016] [Accepted: 11/23/2016] [Indexed: 02/06/2023] Open
Abstract
Systemic immune-inflammation index (SII), based on peripheral lymphocyte, neutrophil, and platelet counts, was recently investigated as a prognostic marker in several tumors. However, SII has not been reported in esophageal squamous cell carcinoma (ESCC). We evaluated the prognostic value of the SII in 916 patients with ESCC who underwent radical surgery. Univariate and multivariate analyses were calculated by the Cox proportional hazards regression model. The time-dependent receiver operating characteristics (ROC) curve was used to compare the discrimination ability for OS. PSM (propensity score matching) was carried out to imbalance the baseline characteristics. Our results showed that SII, PLR, NLR and MLR were all associated with OS in ESCC patients in the Kaplan-Meier survival analysis. However, only SII was an independent risk factor for OS (HR = 1.24, 95% CI 1.01–1.53, P = 0.042) among these systemic inflammation scores. The AUC for SII was bigger than PLR, NLR and MLR. In the PSM analysis, SII still remained an independent predictor for OS (HR = 1.30, CI 1.05–1.60, P = 0.018). SII is a novel, simple and inexpensive prognostic predictor for patients with ESCC undergoing radical esophagectomy. The prognostic value of SII is superior to PLR, NLR and MLR.
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17
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Rice TW, Ishwaran H, Hofstetter WL, Kelsen DP, Apperson-Hansen C, Blackstone EH. Recommendations for pathologic staging (pTNM) of cancer of the esophagus and esophagogastric junction for the 8th edition AJCC/UICC staging manuals. Dis Esophagus 2016; 29:897-905. [PMID: 27905172 PMCID: PMC5591444 DOI: 10.1111/dote.12533] [Citation(s) in RCA: 133] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2016] [Revised: 08/18/2016] [Accepted: 08/29/2016] [Indexed: 12/11/2022]
Abstract
We report analytic and consensus processes that produced recommendations for pathologic stage groups (pTNM) of esophageal and esophagogastric junction cancer for the AJCC/UICC cancer staging manuals, 8th edition. The Worldwide Esophageal Cancer Collaboration provided data for 22,654 patients with epithelial esophageal cancers; 13,300 without preoperative therapy had pathologic assessment after esophagectomy or endoscopic treatment. Risk-adjusted survival for each patient was developed using random survival forest analysis to identify data-driven pathologic stage groups wherein survival decreased monotonically with increasing group, was distinctive between groups, and homogeneous within groups. The AJCC Upper GI Task Force, by smoothing, simplifying, expanding, and assessing clinical applicability, produced consensus pathologic stage groups. For pT1-3N0M0 squamous cell carcinoma (SCC) and pT1-2N0M0 adenocarcinoma, pT was inadequate for grouping; subcategorizing pT1 and adding histologic grade enhanced staging; cancer location improved SCC staging. Consensus eliminated location for pT2N0M0 and pT3N0M0G1 SCC groups, and despite similar survival, restricted stage 0 to pTis, excluding pT1aN0M0G1. Metastases markedly reduced survival; pT, pN, and pM sufficiently grouped advanced cancers. Stage IIA and IIB had different compositions for SCC and adenocarcinoma, but similar survival. Consensus stage IV subgrouping acknowledged pT4N+ and pN3 cancers had poor survival, similar to pM1. Anatomic pathologic stage grouping, based on pTNM only, produced identical consensus stage groups for SCC and adenocarcinoma at the cost of homogeneity in early groups. Pathologic staging can neither direct pre-treatment decisions nor aid in prognostication for treatment other than esophagectomy or endoscopic therapy. However, it provides a clean, single therapy reference point for esophageal cancer.
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Affiliation(s)
- T W Rice
- Cleveland Clinic, Cleveland, Ohio, USA
| | - H Ishwaran
- University of Miami, Miami, Florida, USA
| | - W L Hofstetter
- University of Texas MD Anderson Hospital, Houston, Texas, USA
| | - D P Kelsen
- Memorial Sloan-Kettering Cancer Center, New York, New York, USA
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Chien HC, Chen HS, Wu SC, Hsu PK, Liu CY, Wang BY, Shih CH, Liu CC. The prognostic value of metastatic lymph node number and ratio in oesophageal squamous cell carcinoma patients with or without neoadjuvant chemoradiation. Eur J Cardiothorac Surg 2016; 50:337-343. [DOI: 10.1093/ejcts/ezw016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
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19
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Shao Y, Geng Y, Gu W, Ning Z, Huang J, Pei H, Jiang J. Assessment of Lymph Node Ratio to Replace the pN Categories System of Classification of the TNM System in Esophageal Squamous Cell Carcinoma. J Thorac Oncol 2016; 11:1774-84. [PMID: 27393473 DOI: 10.1016/j.jtho.2016.06.019] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2016] [Revised: 05/24/2016] [Accepted: 06/09/2016] [Indexed: 01/16/2023]
Abstract
INTRODUCTION The seventh edition of the TNM staging system for esophageal cancer outlined by the American Joint Committee on Cancer (AJCC) defines the N classification on the basis of the number of metastatic lymph nodes. However, this classification is dependent on the actual number of examined lymph nodes. Here in this study, we have focused on revising this N classification system with the metastatic lymph nodes ratio (LNR) and also assessing whether this modification to the current AJCC staging system can better define the prognostic characteristics of esophageal squamous cell carcinoma (ESCC). METHODS We retrospectively reviewed 916 patients with ESCC who underwent curative resection. Prognostic performance of two staging systems was compared using the Akaike information criterion value and receiver operating characteristics curve. In addition, decision curve analysis evaluated the clinical practical usefulness of the prediction models by quantifying their net benefits. RESULTS The univariate and multivariate Cox regression analyses indicated that LNR was an independent risk factor for overall survival. The modified staging system based on LNR had better discriminatory ability, monotonicity, homogeneity, and stratification than the TNM staging system in determining the prognosis of patients with ESCC. However, the decision curves analysis suggested that the modified staging based on LNR has poor clinical practical value over the AJCC TNM staging system. CONCLUSIONS LNR can supplement the pN categorization system for more effective evaluation of prognosis. But the modified staging system based on LNR has a poor clinical practical value for patients with ESCC compared with the current TNM system and is not superior to AJCC pN staging for ESCC.
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Affiliation(s)
- Yingjie Shao
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Yiting Geng
- Department of Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Wendong Gu
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Zhonghua Ning
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Jin Huang
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Honglei Pei
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China
| | - Jingting Jiang
- Department of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, Changzhou, People's Republic of China.
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20
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Shao Y, Ning Z, Chen J, Geng Y, Gu W, Huang J, Pei H, Shen Y, Jiang J. Prognostic nomogram integrated systemic inflammation score for patients with esophageal squamous cell carcinoma undergoing radical esophagectomy. Sci Rep 2015; 5:18811. [PMID: 26689680 PMCID: PMC4686940 DOI: 10.1038/srep18811] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2015] [Accepted: 11/26/2015] [Indexed: 12/26/2022] Open
Abstract
Growing evidence indicates that nomogram combined with the biomarkers of systemic inflammation response could provide more accurate prediction than conventional staging systems in tumors. This study aimed to establish an effective prognostic nomogram for resectable thoracic esophageal squamouscell carcinoma (ESCC) based on the clinicopathological parameters and inflammation-based prognostic scores. We retrospectively investigated 916 ESCC patients who underwent radical esophagectomy. The predictive accuracy and discriminative ability of the nomogram were determined by concordance index (C-index) and calibration curve, and compared with the 6th and 7th AJCC TNM classifications. The neutrophil lymphocyte ratio (NLR), C-reactive protein albumin (CRP/Alb) ratio, histological grade, T stage and modified N stage were integrated in the nomogram. The C-index of the nomogram for predicting the survival was 0.72, which showed better predictive ability of OS than the 6th or 7th TNM stages in the primary cohort (P < 0.001). The calibration curve showed high consistency between the nomogram and actual observation. The decision curve analysis showed more potential of clinical application of the prediction models compared with TNM staging system. Moreover, our findings were supported by the validation cohort. The proposed nomogram showed more accurate prognostic prediction for patients with ESCC after radical esophagectomy.
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Affiliation(s)
- Yingjie Shao
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Zhonghua Ning
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Jun Chen
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Yiting Geng
- Department of Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Wendong Gu
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Jin Huang
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Honglei Pei
- Department of Radiation Oncology, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
| | - Yueping Shen
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Soochow University, Suzhou 215123, China
| | - Jingting Jiang
- Department of Tumor Biological Treatment, The Third Affiliated Hospital of Soochow University, 185 Juqian Street, Changzhou 213003, P.R. China
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21
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Zhao K, Chen BJ, Chen ZG, Zhang YJ, Xu D, Liu Q. Effect of miR-503 Down-Regulation on Growth and Invasion of Esophagus Carcinoma and Related Immune Function. Med Sci Monit 2015; 21:3564-9. [PMID: 26580839 PMCID: PMC4655614 DOI: 10.12659/msm.895518] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background MicroRNA (miR) has been proved to be an important biomarker for tumors because it can regulate occurrence, progression, invasion, and metastasis of cancer. A previous study has shown the involvement of miR-503 in multiple gastrointestinal tumors. Its detailed role and immune regulatory function in esophagus carcinoma, however, remains unknown. This study thus investigated the effect of miR-503 in regulating growth, proliferation, and invasion of esophagus cancer and its influence on cytokine secretion. Material/Methods Esophagus carcinoma cell line EC9706 and normal esophageal epithelial cell line HEEC were transfected with miR-503 inhibitor. MTT assay was used to quantify the cell proliferation, and a Transwell chamber was used to evaluate cell invasion. Release of cytokines, including interleukin-2 (IL-2), IL-4, IL-10, and interferon-γ (IFN-γ), was measured by enzyme-linked immunosorbent assay (ELISA). Results MiR-503 expression was significantly elevated in esophagus carcinoma cells (p<0.05). The specific inhibition of miR-503 expression remarkably suppressed proliferation and invasion of tumor cells. It can also down-regulated IL-2 and IFN-γ expression and facilitate secretion of IL-4 and IL-10 when compared to the control group (p<0.05 in all ceases). Conclusions The inhibition of miR-503 can effectively inhibit tumor progression and improve immune function, suggesting its potency as a novel drug target for esophagus cancer treatment.
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Affiliation(s)
- Ke Zhao
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
| | - Bao-Jun Chen
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
| | - Zhi-Guo Chen
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
| | - Yong-Jian Zhang
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
| | - Di Xu
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
| | - Qi Liu
- Department of Thoracic Surgery, The Central Hospital of Wuhan, Wuhan, Hubei, China (mainland)
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