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Hou WH, Jie L, Yao L, Yang YW, Fang H, Zhao YY, Chen XY, Gong YL, Du XB. A prognostic nomogram based on lymph node skipping metastases in esophageal squamous cell carcinoma. J Thorac Dis 2025; 17:1942-1957. [PMID: 40400938 PMCID: PMC12093065 DOI: 10.21037/jtd-24-1798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Accepted: 03/14/2025] [Indexed: 05/23/2025]
Abstract
Background At present, the definition of lymph node skipping metastases (NSM) in esophageal squamous cell carcinoma (ESCC) is not uniform, and there were few clinical prognostic models with NSM as a factor. On the other hand, N-staging of ESCC has long been controversial. This study aimed to define NSM in ESCC and investigate its prognostic implications. Meanwhile, according to the cumulative number of cervical, thoracic and abdominal region lymph nodes, a new N-stage was defined and compared with the N-stage of American Joint Committee on Cancer/the Union for International Cancer Control (AJCC/UICC) and Japan Esophageal Society (JES). Methods ESCC patients who underwent radical esophagectomy with lymph node metastases (LNM) between January 2012 and December 2022 at Mianyang Central Hospital and West China Hospital of Sichuan University. Patients were grouped into training and external validation cohorts. NSM was defined as any LNM outside the primary tumor region. Meanwhile, this study created a new postoperative pathology N-staging [PN(n)] based on the regional division of LNM to compare with the 8th edition of the AJCC/UICC and the 11th edition of JES N-staging. Results There were 232 patients enrolled (training: 161; validation: 71). Cox-regression identified factors that could predict outcomes independently. Kaplan-Meier survival analysis was performed. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and calibration plots. Independent risk factors for death included NSM [hazard ratio (HR) =1.5202], age (HR =1.036), T-stage (HR =2.874), and AJCC/UICC N stage (HR =1.9601). Prognostic models for 1-year (AUC: 0.923, 0.985), 3-year (AUC: 0.747, 0.746), and 5-year (AUC: 0.695, 0.713) survival showed high accuracy. Conclusions NSM is associated with worse overall survival (OS) in ESCC, and the constructed prognostic model effectively predicts OS for ESCC patients.
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Affiliation(s)
- Wen-Hui Hou
- Division of Thoracic Tumor Multidisciplinary Treatment, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
- Department of Health Management Center, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Li Jie
- Department of Oncology Cancer, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Liao Yao
- Department of Oncology Cancer, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Yu-Wei Yang
- Department of Laboratory Medicine, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - He Fang
- Department of Health Management Center, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
| | - Yuan-Yuan Zhao
- Division of Thoracic Tumor Multidisciplinary Treatment, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xian-Yan Chen
- Division of Thoracic Tumor Multidisciplinary Treatment, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - You-Ling Gong
- Division of Thoracic Tumor Multidisciplinary Treatment, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Xiao-Bo Du
- Department of Oncology Cancer, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang, China
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Zhu J, Qiu X, Jin X, Nie X, Ou S, Wu G, Shen J, Zhang R. ZNF468-mediated epigenetic upregulation of VEGF-C facilitates lymphangiogenesis and lymphatic metastasis in ESCC via PI3K/Akt and ERK1/2 signaling pathways. Cell Oncol (Dordr) 2024; 47:1927-1942. [PMID: 39141315 DOI: 10.1007/s13402-024-00976-0] [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] [Accepted: 07/23/2024] [Indexed: 08/15/2024] Open
Abstract
PURPOSE Dysfunctional lymphangiogenesis is pivotal for various pathological processes including tumor lymph node metastasis which is a crucial cause of therapeutic failure for ESCC. In this study, we aim to elucidate the molecular mechanisms and clinical relevance of Zinc-finger protein ZNF468 in lymphangiogenesis and lymphatic metastasis in ESCC. METHODS Immunohistochemistry, Western blot, Kaplan-Meier plotter analysis and Gene Set Enrichment Analysis were preformed to detect the association of ZNF468 with lymphangiogenesis and poor prognosis in ESCC patients. Foot-pads lymph node metastasis model, tube formation assay, 3D-culture assay and invasion assay were preformed to verify the effect of ZNF468 on lymphangiogenesis and lymph node metastasis. CUT&Tag analysis, immunoprecipitation and mass spectrometry analysis and ChIP-PCR assay were preformed to study the molecular mechanisms of ZNF468 in lymphangiogenesis. RESULTS We found that ectopic expression of ZNF468 was correlated with higher microlymphatic vessel density in ESCC tissues, leading to poorer prognosis of ESCC patients. ZNF468 enhanced the capacity of lymphangiogenesis and promoted lymphatic metastasis in ESCC both in vitro and in vivo. However, silencing ZNF468 reversed these phenotypes in ESCC. Mechanically, we demonstrated that ZNF468 recruits the histone modification factors (PRMT1/HAT1) to increase the levels of H4R2me2a and H3K9ac, which then leads to the recruitment of the transcription initiation complex on the VEGF-C promoter, ultimately promoting the upregulation of VEGF-C transcription. Strikingly, the promoting effect of lymphatic metastasis induced by ZNF468 in ESCC was abrogated by targeting PRMT1 using Arginine methyltransferase inhibitor-1 or silencing VEGF-C. Furthermore, we found that the activation of PI3K/AKT and ERK1/2 signaling is required for ZNF468-medicated lymphatic metastasis in ESCC. Importantly, the clinical relevance between ZNF468 and VEGF-C were confirmed not only in ESCC samples and but also in multiple cancer types. CONCLUSION Our results identified a precise mechanism underlying ZNF468-induced epigenetic upregulation of VEGF-C in facilitating lymphangiogenesis and lymph node metastasis of ESCC, which might provide a novel prognostic biomarker and potential therapeutic for ESCC patients.
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Affiliation(s)
- Jinrong Zhu
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiangyu Qiu
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xin Jin
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China
| | - Xiaoya Nie
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China
| | - Shengming Ou
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China
| | - Geyan Wu
- Biomedicine Research Centre, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provicial Clinical Research Center for Obsterics and Gynecology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou Medical University, Guangzhou, China.
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
| | - Jianfei Shen
- Department of Cardiothoracic Surgery, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, China.
| | - Rongxin Zhang
- Guangdong Provincial Key Laboratory of Advanced Drug Delivery, Guangdong Provincial Engineering Center of Topical Precise Drug Delivery System, Guangdong Pharmaceutical University, Guangzhou, China.
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Schuring N, van Berge Henegouwen MI, Gisbertz SS. History and evidence for state of the art of lymphadenectomy in esophageal cancer surgery. Dis Esophagus 2024; 37:doad065. [PMID: 38048446 PMCID: PMC10987971 DOI: 10.1093/dote/doad065] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 10/29/2023] [Accepted: 11/07/2023] [Indexed: 12/06/2023]
Abstract
The current curative multimodal treatment of advanced esophageal cancers consists of neoadjuvant or perioperative chemo(radio)therapy followed by a radical surgical resection of the primary tumor and a 2- or 3-field lymphadenectomy. One of the most important predictors of long-term survival of esophageal cancer patients is lymph node involvement. The distribution pattern of lymph node metastases in esophageal cancer is unpredictable and depends on the primary tumor location, histology, T-stage and application of neoadjuvant or perioperative treatment. The optimal extent of the lymphadenectomy remains controversial; there is no global consensus on this topic yet. Some surgeons advocate an aggressive and extended lymph node dissection to remove occult metastatic disease, to optimize oncological outcomes. Others promote a more restricted lymphadenectomy, since the benefit of an extended lymphadenectomy, especially after neoadjuvant chemoradiotherapy, has not been clearly demonstrated, and morbidity may be reduced. In this review, we describe the development of lymphadenectomy, followed by a summary of current evidence for lymphadenectomy in esophageal cancer treatment.
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Affiliation(s)
- Nannet Schuring
- Department of Surgery, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Treatment and Quality of Life, Cancer Center Amsterdam, Amsterdam, The Netherlands
- Gastroenterology and Hepatology, Amsterdam UMC Location University of Amsterdam, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam, The Netherlands
| | - Mark I van Berge Henegouwen
- Department of Surgery, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Treatment and Quality of Life, Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Suzanne S Gisbertz
- Department of Surgery, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Treatment and Quality of Life, Cancer Center Amsterdam, Amsterdam, The Netherlands
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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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5
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Wang L, Ren X, Ma X, Yin L, Niu X, Xing S. LncRNA OIP5-AS1 promotes the development of esophageal squamous cell carcinoma by binding to miR-1297. Panminerva Med 2022; 64:589-590. [PMID: 31992030 DOI: 10.23736/s0031-0808.19.03801-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Affiliation(s)
- Li Wang
- Sterilization Supply Room, The People's Hospital of Zhangqiu Area, Jinan, China
| | - Xiaoxia Ren
- Department of Cardio-Thoracic Surgery, Yantaishan Hospital, Yantai, China
| | - Xiaoyan Ma
- Department of Comprehensive Oncology Therapy, Qingdao Central Hospital, Qingdao Tumor Hospital, Qingdao, China
| | - Lizhi Yin
- Health Management Center, The People's Hospital of Zhangqiu Area, Jinan, China
| | - Xinqing Niu
- ECG Room, The People's Hospital of Zhangqiu Area, Jinan, China
| | - Shouli Xing
- Department of Radiotherapy, The People's Hospital of Zhangqiu Area, Jinan, China -
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6
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Liu ZP, Zhang QY, Chen WY, Huang YY, Zhang YQ, Gong Y, Jiang Y, Bai J, Chen ZY, Dai HS. Evaluation of Four Lymph Node Classifications for the Prediction of Survival in Hilar Cholangiocarcinoma. J Gastrointest Surg 2022; 26:1030-1040. [PMID: 34973138 PMCID: PMC9085675 DOI: 10.1007/s11605-021-05211-x] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/20/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND An important prognostic indicator of hilar cholangiocarcinoma (HCCA) in patients after surgery is metastasis of lymph nodes (LN). However, there are many types of LN staging systems to the issue of a better determination of the prognosis of patients through the lymphatic staging system which needs research. Based on the above, we tried to re-evaluate the staging system of HCCA LNs. We compared the American Joint Committee on Cancer (AJCC), number of metastatic LNs (MLN), ratio of LN (LNR), and log odds of MLNs (LODDS) in individuals undergoing curative resection to determine the best LN staging system. METHODS In the current study, we retrospectively analyzed 229 patients undergoing curative resection. We evaluated the impact of the stage of AJCC pN, LNR, LODDS, and MLN on OS (overall survival) and RFS (recurrence-free survival). According to the curve of receiver operating characteristic (ROC), we compared the predictive capacity of different staging systems of LN for survival and recurrence. RESULTS Multivariate analysis results revealed that LODDS > - 0.45 (95% CI = 1.115-2.709, P = 0.015; 95% CI = 1.187-2.780, P = 0.006) are independent risk factors affecting OS and RFS, respectively. Compared with LN status, AJCC pN stage, MLN, and LNR, the variable having the highest area under the ROC curve (AUC) was LODDS when predicting 1-year, 3-year, and 5-year OS and RFS. CONCLUSION This study shows that metastasis of LNs is a key indicator for predicting patient death and recurrence. Among them, LODDS is the best LN staging system for the prognostic evaluation of HCCA patients after surgery. Clinicians can incorporate LODDS into HCCA patient lymphatic staging system for a more accurate prognosis of HCCA patients post-surgery.
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Affiliation(s)
- Zhi-Peng Liu
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Qing-Yi Zhang
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Wei-Yue Chen
- Department of Clinical Center of Oncology, Zhejiang University Lishui Hospital, Lishui, 323000, Zhejiang, China
| | - Yu-Yan Huang
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Yan-Qi Zhang
- Department of Health Statistics, College of Military Preventive Medicine, Army Medical University, Chongqing, China
| | - Yi Gong
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Yan Jiang
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Jie Bai
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China
| | - Zhi-Yu Chen
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China.
| | - Hai-Su Dai
- Department of Hepatobiliary Surgery, Southwest Hospital, Third Military Medical University (Army Medical University), No. 30 Gaotanyan Road, Chongqing, 400038, China.
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7
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Wang H, Lin Z, Lin Y, Huang R, Qiu M, Peng X, He F, Huang L, Xiang Z, Lu W, Yan S, Liu S, Yang H, Zhang Z, Hu Z. Optimal Size Criterion for Malignant Lymph Nodes and a Novel Lymph Node Clinical Staging System for Unresectable Esophageal Squamous Cell Carcinoma: Evaluation by Multislice Spiral Computed Tomography. J Cancer 2021; 12:6454-6464. [PMID: 34659536 PMCID: PMC8489143 DOI: 10.7150/jca.61994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 08/18/2021] [Indexed: 11/05/2022] Open
Abstract
Objectives: The current Chinese draft nodal clinical staging system for unresectable esophageal cancer is controversial. Our study aimed to propose a new diagnostic criterion for lymph node metastasis (LNM) detected by multislice spiral computed tomography (MSCT) in nonsurgically treated esophageal squamous cell carcinoma (ESCC) patients and then develop a novel lymph node (LN) clinical staging system for better individual prognostic prediction. Methods: The short-axis diameters of regional LNs were measured in 393 nonsurgical patients. Regional nodes were considered positive for malignancy if the nodal size exceeded the optimal size, which was determined by Kaplan-Meier survival analysis. The novel LN clinical staging system was then constructed using the LASSO model based on the relative prognostic importance of different LN stations. Validation cohort was included to confirm the prognostic performance. Results: Regional nodes were considered positive for malignancy if they were larger than 10 mm in the low cervical and upper thoracic segments, 7 mm in the middle thoracic segment, and 8 mm in the lower thoracic and celiac segments. Using the LASSO model, stations 2R, 3A, 7 and 16 were qualified in the model. Further analysis showed that our LN clinical staging system had better homogeneity, discriminatory ability and clinical value than the draft nodal staging system. Conclusions: Our results show that the new diagnostic criterion may improve the diagnostic value of MSCT in metastatic LNs. The novel LN clinical staging system can stratify nonsurgically treated ESCC patients into different risk groups, providing valuable information for decision making and outcome prediction.
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Affiliation(s)
- Hang Wang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Department of Disease Prevention and Healthcare, Fujian Provincial Hospital South Branch & Fujian Provincial Jinshan Hospital, Fuzhou, 350001, China
| | - Zheng Lin
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350108, China.,Fujian Digital Institute of Tumor Big Data, Fujian Medical University, Fuzhou, 350122, China
| | - Yimin Lin
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Fujian Center for ADR monitoring, Fujian Food and Drug Administration, Fuzhou, 350003, China
| | - Ruigang Huang
- Department of Imaging, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, 363000, China
| | - Moliang Qiu
- Department of Imaging, Affiliated Fuzhou First Hospital of Fujian Medical University, Fuzhou, 350009, China
| | - Xiane Peng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350108, China.,Fujian Digital Institute of Tumor Big Data, Fujian Medical University, Fuzhou, 350122, China
| | - Fei He
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350108, China.,Fujian Digital Institute of Tumor Big Data, Fujian Medical University, Fuzhou, 350122, China
| | - Liping Huang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Zhisheng Xiang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Wanting Lu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Siyou Yan
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Shuang Liu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Huimin Yang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Zhihui Zhang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, 350108, China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, 350108, China.,Fujian Digital Institute of Tumor Big Data, Fujian Medical University, Fuzhou, 350122, China
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8
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Hagens ERC, van Berge Henegouwen MI, Gisbertz SS. Distribution of Lymph Node Metastases in Esophageal Carcinoma Patients Undergoing Upfront Surgery: A Systematic Review. Cancers (Basel) 2020; 12:cancers12061592. [PMID: 32560226 PMCID: PMC7352338 DOI: 10.3390/cancers12061592] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 06/09/2020] [Accepted: 06/12/2020] [Indexed: 12/16/2022] Open
Abstract
Metastatic lymphatic mapping in esophageal cancer is important to determine the optimal extent of the radiation field in case of neoadjuvant chemoradiotherapy and lymphadenectomy when esophagectomy is indicated. The objective of this review is to identify the distribution pattern of metastatic lymphatic spread in relation to histology, tumor location, and T-stage in patients with esophageal cancer. Embase and Medline databases were searched by two independent researchers. Studies were included if published before July 2019 and if a transthoracic esophagectomy with a complete 2- or 3-field lymphadenectomy was performed without neoadjuvant therapy. The prevalence of lymph node metastases was described per histologic subtype and primary tumor location. Fourteen studies were included in this review with a total of 8952 patients. We found that both squamous cell carcinoma and adenocarcinoma metastasize to cervical, thoracic, and abdominal lymph node stations, regardless of the primary tumor location. In patients with an upper, middle, and lower thoracic squamous cell carcinoma, the lymph nodes along the right recurrent nerve are often affected (34%, 24% and 10%, respectively). Few studies describe the metastatic pattern of adenocarcinoma. The current literature is heterogeneous in the classification and reporting of lymph node metastases. This complicates evidence-based strategies in neoadjuvant and surgical treatment.
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9
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Zhou X, Fan YH, Wang Y, Liu Y. Prognostic and clinical significance of long non-coding RNA HNF1A-AS1 in solid cancers: A systematic review and meta-analysis. Medicine (Baltimore) 2019; 98:e18264. [PMID: 31804362 PMCID: PMC6919444 DOI: 10.1097/md.0000000000018264] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND LncRNA HNF1A Antisense RNA 1 (HNF1A-AS1) is often dysregulated in cancer. We performed this meta-analysis to clarify the usefulness of HNF1A-AS1 as a prognostic marker in malignant tumors. METHODS The PubMed, OVID, and Web of Science databases were searched from inception to January 11, 2018. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated to explore the relationship between HNF1A-AS1 expression and survival. Odds ratios (OR) were calculated to assess the association between HNF1A-AS1 expression and pathological parameters. RESULTS Eight studies with a total of 802 patients were included in the study. The pooled hazard ratio (HR) suggested high HNF1A-AS1 expression correlated with poor overall survival (OS) (HR = 4.85, 95% confidence interval (CI): 2.43-9.68), and disease-free survival (DFS) (HR = 6.34, 95% CI: 1.03-39.12) in cancer patients. High HNF1A-AS1 expression also correlated with poor histological grade (OR = 1.88, 95% CI: 1.27-2.79), high tumor stage (OR = 4.04, 95% CI: 2.53-6.47), lymph node metastasis (LNM) (OR = 4.53, 95% CI: 2.30-8.92), and distant metastasis (OR = 5.99, 95% CI: 2.88-12.48). Begg funnel plot did not show any evidence of obvious asymmetry for high tumor stage (Pr > |z| = 0.368) and LNM (Pr > |z| = 1.000). CONCLUSIONS Thus high HNF1A-AS1 expression is predictive of poor OS, DFS, lymph node metastasis, distant metastasis, histological grade, and larger tumor stage, which suggests high HNF1A-AS1 expression may serve as a novel biomarker of poor prognosis in cancer.
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Affiliation(s)
| | - Yang-Hua Fan
- Department of Central laboratory, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing
| | - Yan Wang
- Department of Medical Laboratory Diagnosis Center, Jinan Central Hospital, Ji'nan, Shandong, China
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10
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Lin Z, Chen W, Chen Y, Peng X, Yan S, He F, Fu R, Jiang Y, Hu Z. Achieving adequate lymph node dissection in treating esophageal squamous cell carcinomas by radical lymphadenectomy: Beyond the scope of numbers of harvested lymph nodes. Oncol Lett 2019; 18:1617-1630. [PMID: 31423229 PMCID: PMC6607061 DOI: 10.3892/ol.2019.10465] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Accepted: 04/15/2019] [Indexed: 12/26/2022] Open
Abstract
Previous studies have recommended harvesting a large number of lymph nodes (LNs) to improve the survival of patients with esophageal squamous cell carcinoma (ESCC). These studies or clinical guidelines focus on the total harvested LNs during lymphadenectomy; however, the extent of LN dissection (LND) required in patients with ESCCs remains controversial. The present study proposed a novel individualized adequate LND (ALND) strategy to compliment current guidelines to improve individualized therapeutic efficacy. For N0 cases, ALND was defined as an LN harvest of >55% of the LNs from nodal zones adjacent to the tumor location; and for N+ cases, ALND was defined as 8, 8, 8, 8 or 16 LNs dissected from the involved cervical, upper, middle, lower and celiac zones, respectively. Retrospective analysis of the ESCC cohort revealed that the ALND was associated with improved patient survival [hazard ratio (HR)=0.45 and 95% CI=0.30–0.66)]. Stratified analyses revealed that the protective role of ALND was prominent, with the exception of higher pN+ staged (pN2-3) cases (HR=0.52, 95% CI=0.23–1.18). Furthermore, ALND was associated with improved survival in local diseases (T1-3/N0-1; HR=0.50, 95% CI=0.30–0.84) and locally advanced diseases (T4/Nany or T1-3/N2-3; HR=0.32, 95% CI=0.15–0.68). These findings suggested that the proposed ALND strategy may effectively improve the survival of patients with ESCC.
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Affiliation(s)
- Zheng Lin
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Weilin Chen
- Department of Radiation Oncology, Affiliated Zhangzhou Hospital of Fujian Medical University, Zhangzhou, Fujian 363000, P.R. China
| | - Yuanmei Chen
- Department of Thoracic Surgery, Fujian Provincial Cancer Hospital, Fuzhou, Fujian 350014, P.R. China
| | - Xiane Peng
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Siyou Yan
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Fei He
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Rong Fu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Yixian Jiang
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, Fujian Provincial Key Laboratory of Environment Factors and Cancer, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China.,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, Fujian 350108, P.R. China
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11
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Ma C, Nie XG, Wang YL, Wu DP, Liang QD. Meta-analysis of the prognostic value of long non-coding RNA PVT1 for cancer patients. Medicine (Baltimore) 2018; 97:e13548. [PMID: 30544468 PMCID: PMC6310588 DOI: 10.1097/md.0000000000013548] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Plasmacytoma variant translocation 1 (PVT1) is reported to be dysregulated in various cancers. Therefore, this meta-analysis was performed to clarify its utility as a prognosis marker in malignant tumors. METHODS Electronic databases, including PubMed, OVID, Cochrane Library, and Web of Science databases, were retrieved from inception to December 16, 2017. Typically, hazard ratios (HRs) and corresponding 95% confidence intervals (CIs) were calculated, so as to explore the relationship between PVT1 expression and patient survival. In addition, odds ratios (OR) were calculated to assess the association of PVT1 expression with pathological parameters. RESULTS A total of 23 studies involving 2350 patients were included in this meta-analysis. The pooled HR suggested that high PVT1 expression levels were correlated with poor overall survival (OS, HR = 1.99, 95% CI: 1.73-2.28), disease-free survival (DFS, HR = 1.76, 95% CI: 1.45-2.14), and recurrence-free survival (RFS, HR = 1.74, 95% CI: 1.26-2.39) in cancer patients without obvious heterogeneity. Moreover, high PVT1 expression levels were also correlated with larger tumor size (OR = 1.47, 95% CI: 1.02-2.11), poor differentiation grade (OR = 1.79, 95% CI: 1.39-2.30), advanced tumor stage (pooled OR = 3.28, 95% CI: 2.46-4.38), lymph node metastasis (OR = 2.67, 95% CI: 1.66-4.29) and distant metastasis (OR = 4.00, 95% CI: 1.39-11.50) in cancer patients. CONCLUSIONS Findings of this meta-analysis suggest that a high PVT1 expression level may serve as a novel biomarker of poor prognosis in cancers.
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Affiliation(s)
| | | | - Yan-Li Wang
- Department of Operating room, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang 453000, Henan province, People's Republic of China
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Meta-analysis of the prognostic value of long non-coding RNA AFAP1-AS1 for cancer patients in China. Oncotarget 2017; 9:8100-8110. [PMID: 29487718 PMCID: PMC5814285 DOI: 10.18632/oncotarget.23568] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 10/28/2017] [Indexed: 12/16/2022] Open
Abstract
LncRNA actin filament-associated protein 1 antisense RNA 1 (AFAP1-AS1) is often dysregulated in cancer. We performed this meta-analysis to clarify the usefulness of AFAP1-AS1 as a prognostic marker in malignant tumors. The PubMed, Medline, OVID, Cochrane Library, and Web of Science databases were searched from inception to Augest 7, 2017. Sixteen studies with a total of 1,386 patients were included in the study. The pooled hazard ratio (HR) suggested high AFAP1-AS1 expression correlated with poor overall survival (OS) (HR = 1.98, 95% confidence interval (CI): 1.71–2.28), disease-free survival (DFS) (HR = 1.54, 95% CI: 1.22–1.95), and progression-free survival (PFS) (HR = 2.17, 95% CI:1.64–2.88) in cancer patients, without obvious heterogeneity. High AFAP1-AS1 expression also correlated with larger tumor size (odds ratio (OR) = 2.04, 95% CI: 1.54–2.72), advanced tumor stage (OR=2.35, 95% CI: 1.70–3.26), poor histological grade (OR =1.39, 95% CI: 1.02–1.90), lymph node metastasis (OR = 2.71, 95% CI: 1.98–3.72) and distant metastasis (OR = 2.96, 95% CI: 2.03–4.32). Thus high AFAP1-AS1 expression is predictive of poor OS, DFS, PFS, lymph node metastasis, distant metastasis, histological grade, larger tumor size and tumor stage, which suggests high AFAP1-AS1 expression may serve as a novel biomarker of poor prognosis in cancer.
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13
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Xu C, Liu Y, Huang J, Wang H, Tan L, Xu Y, Jiang Z, Wang X, Hou Y, Jiang D, Wang Q. The prognostic significance of MCL1 copy number gain in esophageal squamous cell carcinoma. Oncotarget 2017; 8:87699-87709. [PMID: 29152113 PMCID: PMC5675665 DOI: 10.18632/oncotarget.21181] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 08/26/2017] [Indexed: 11/25/2022] Open
Abstract
Background MCL1 copy number variations have been reported to be associated with cancer prognosis in several cancers. However, the role of MCL1 gain has not yet been determined in esophageal squamous cell carcinomas (ESCC). Methods Fluorescence in situ hybridization (FISH) for MCL1 was performed on 262 ESCC samples using tissue microarray (TMA). Results The median age of ESCC patients was 62 years (range 37-83), with frequencies between women (16.4%) and men (83.6%). Of the 262 tumors, 77 tumors (29.4%) had high MCL1 gain. In the multivariate analysis, lymph node metastasis (HR: 3.236, P<0.001 for DFS; HR: 3.501, P<0.001 for OS) and clinical stage (HR: 3.388, P<0.001 for DFS; HR: 3.616, P<0.001 for OS) were identified as independent worse prognostic factors. Interestingly, among patients without lymph node metastasis or stage I-II patients, high MCL1 gain was associated with better DFS (P=0.009 or 0.046) and OS (P=0.014 or 0.069) after disease free survival time was more than or equal to 12 months. Reversely, among patients with lymph node metastasis or stage III-IVa patients, high MCL1 gain was associated with poorer DFS (P=0.007 or 0.021) and OS (P=0.029 or 0.068) after disease free survival time was more than or equal to 29 months. Conclusion We observed that high MCL1 gain had bidirectional prognostic significance in ESCC patients with different lymph node status or clinical stage. These findings might provide the useful way of detailed risk stratification in patients with ESCC, and an insight into pathogenesis and mechanism of progression in ESCC.
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Affiliation(s)
- Chen Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yalan Liu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Jie Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Hao Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Lijie Tan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yifan Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Zhengzeng Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Xin Wang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China.,Department of Pathology, School of Basic Medical Sciences & Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Dongxian Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Qun Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
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