|
1
|
Ji C, Ji L, Wang F, Zhang A, Shen L. CA199 and CEA expression levels, and minimally invasive postoperative prognosis analysis in esophageal squamous carcinoma patients. Open Med (Wars) 2025; 20:20241127. [PMID: 40444013 PMCID: PMC12120403 DOI: 10.1515/med-2024-1127] [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: 05/25/2024] [Revised: 12/11/2024] [Accepted: 12/12/2024] [Indexed: 06/02/2025] Open
Abstract
Background This study explores the factors related to the expression levels of carbohydrate antigen 199 (CA199) and carcinoembryonic antigen (CEA) and their association with poor postoperative prognosis in patients with esophageal squamous cell carcinoma (ESCC) who underwent minimally invasive resection. Methods Eighty patients with ESCC who underwent minimally invasive surgery were divided into two groups: 40 with poor prognosis (recurrence) and 40 with good prognosis (no recurrence). Additionally, 80 healthy subjects were selected as a control group. Serum CA199 and CEA levels were measured before surgery and 3 and 6 months postoperatively. Results The serum CA199 and CEA levels in the experimental group were significantly higher than in the control group (P < 0.05). Patients with poor prognoses within the experimental group had higher CA199 and CEA levels than those with good prognoses (P < 0.05). In the poor prognosis group, CA199 and CEA levels at 6 months were significantly higher than at 3 months post-surgery (P < 0.05). Conclusion Poor prognosis in ESCC patients after minimally invasive resection may be influenced by factors such as lymph node metastasis, lesion length, and tumor location. Elevated CA199 and CEA levels postoperatively can serve as predictors of poor prognosis in patients with ESCC.
Collapse
Affiliation(s)
- Cheng Ji
- Department of Thoracic and Cardiac Surgery, Nantong First People’s Hospital, Nantong, Jiangsu, 226000, China
| | - Lingjia Ji
- Nursing Group, Affiliated Hospital of Nantong University, Nantong, Jiangsu, 226000, China
| | - Fei Wang
- Department of Thoracic and Cardiac Surgery, Nantong First People’s Hospital, Nantong, Jiangsu, 226000, China
| | - Anping Zhang
- Department of Thoracic and Cardiac Surgery, Nantong First People’s Hospital, Nantong, Jiangsu, 226000, China
| | - Liang Shen
- Department of Thoracic and Cardiac Surgery, Nantong First People’s Hospital, No. 666 Shengli Road, Chongchuan District, Nantong, Jiangsu, 226000, China
| |
Collapse
|
|
2
|
Xue L, Wang J, Kuang D, Yun J, Li Y, Jiang L, Wu D, Duan P, Lu S, Jin Y, He D, Qian J, Tang W, Wang Y, Li J, Ying J. The prevalence of PD-L1 expression in patients with advanced oesophageal cancer: the EXCEED observational study. J Clin Pathol 2025:jcp-2024-209721. [PMID: 39875188 DOI: 10.1136/jcp-2024-209721] [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: 06/28/2024] [Accepted: 01/06/2025] [Indexed: 01/30/2025]
Abstract
AIMS There are limited data on programmed death ligand 1 (PD-L1) expression in oesophageal cancer (OC) from multicentre studies conducted across China. We aimed to determine the prevalence of high PD-L1 expression in patients with advanced OC. METHODS The EXCEED study was a multicentre, retrospective analysis of data from six tertiary hospitals that evaluated PD-L1 expression in adults with advanced OC or advanced head and neck squamous cell carcinoma. PD-L1 expression was evaluated at each site according to a standardised protocol. The primary outcome was the prevalence of high PD-L1 expression (Combined Positive Score (CPS) ≥10) in surgical or tumour biopsy samples. Low PD-L1 expression was defined as CPS <10. Patient demographic and baseline factors associated with high PD-L1 expression were also investigated. This report presents the results for the OC cohort only. RESULTS Overall, 482 patients were included, the majority were male (87.6%) and the mean age at diagnosis was 63.3 years; 207 had high PD-L1 expression (42.9%; 95% CI 38.5, 47.5) and 275 had low expression (57.1%; 95% CI 52.5, 61.5). There were significant differences in high PD-L1 expression prevalence between subgroups by sex (p=0.044), number of distant metastases (p=0.020), and if chemotherapy (p=0.004) was received prior to the collection of biological samples (ie, biopsy or surgery). CONCLUSIONS These real-world data provide a robust estimate of the prevalence of high PD-L1 expression in patients with advanced OC and identify clinicopathological and treatment features related to PD-L1 expression that can inform treatment selection.
Collapse
Affiliation(s)
- Liyan Xue
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jiaqi Wang
- Department of Pathology, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Dong Kuang
- Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, China
| | - Jingping Yun
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Yuan Li
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Lili Jiang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Daoyuan Wu
- Department of Pathology, Henan Cancer Hospital, Zhengzhou, Henan, China
| | - Pei Duan
- Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, Hubei, China
| | - Shixun Lu
- Department of Pathology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong, China
| | - Yan Jin
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Du He
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jing Qian
- Value & Implementation, Global Medical & Scientific Affairs, Merck Sharp & Dohme (MSD) China, Shanghai, China
| | - Wenmin Tang
- Value & Implementation, Global Medical & Scientific Affairs, Merck Sharp & Dohme (MSD) China, Shanghai, China
| | - Yan Wang
- Value & Implementation, Global Medical & Scientific Affairs, Merck Sharp & Dohme (MSD) China, Shanghai, China
| | - Jielin Li
- Value & Implementation, Global Medical & Scientific Affairs, Merck Sharp & Dohme (MSD) China, Shanghai, China
| | - Jianming Ying
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| |
Collapse
|
|
3
|
Bangolo A, Nagesh VK, Simonson G, Thapa A, Ram A, Santhakumari NJ, Chamroukh R, Varughese VJ, Nareeba S, Menon A, Sridharan K, Chacko AA, Mansour C, Elias D, Singh GR, Rambaransingh A, Mendez LR, Levy C, Kianifar Aguilar I, Hamad I, Sharma U, Salcedo J, Tran HHV, Haq A, Geleto TB, Jean K, Periel L, Bravin S, Weissman S. The Impact of Tumor Stage and Histopathology on Survival Outcomes in Esophageal Cancer Patients over the Past Decade. Med Sci (Basel) 2024; 12:70. [PMID: 39728419 PMCID: PMC11676677 DOI: 10.3390/medsci12040070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Revised: 11/04/2024] [Accepted: 12/05/2024] [Indexed: 12/28/2024] Open
Abstract
BACKGROUND Esophageal cancer (EC) is the sixth leading cause of cancer-related mortality worldwide, continuing to be a significant public health concern. The purpose of this study is to assess the impact of staging and histopathology of EC on associated mortality. The study also aims to further investigate clinical characteristics, prognostic factors, and survival outcomes in patients diagnosed with EC between 2010 and 2017. Furthermore, we analyzed the interaction between tumor histology and staging and the risk of mortality. METHODS A total of 24,011 patients diagnosed with EC between 2010 and 2017 in the United States were enrolled from the Surveillance, Epidemiology, and End Results (SEER) database. Demographic parameters, tumor stage, and histologic subtypes were analyzed and associated overall mortality (OM) and cancer-specific mortality (CSM) were measured across all subgroups. Covariates reaching the level of statistical significance, demonstrable by a p-value equal to or less than 0.01, were incorporated into a multivariate Cox proportional hazards model. A hazard ratio greater than 1 was indicative of an increased risk of mortality in the presence of the variable under discussion. Additionally, the study explores the interaction between histology and tumor stage on outcomes. RESULTS The majority of patients were male (80.13%) and non-Hispanic white (77.87%), with a predominant age at diagnosis of between 60 and 79 years (59.86%). Adenocarcinoma was the most common tumor subtype (68.17%), and most patients were diagnosed at a distant stage (41.29%). Multivariate analysis revealed higher mortality risks for males, older patients, unmarried individuals, and those with advanced-stage tumors. Higher income, receiving radiation or chemotherapy, and undergoing surgery were associated with lower mortality. Tumor subtype significantly influenced mortality, with squamous cell carcinoma and neuroendocrine tumors showing higher hazard ratios compared to adenocarcinoma. Adenocarcinoma is linked to a poorer prognosis at advanced stages, whereas the opposite trend is observed for SCC. CONCLUSIONS The study identifies significant demographic and clinicopathologic factors influencing mortality in esophageal cancer patients, highlighting the importance of early diagnosis and treatment intervention. Future research should focus on tailored treatment strategies to improve survival outcomes in high-risk groups and to understand the interaction between tumor histology and tumor stage.
Collapse
Affiliation(s)
- Ayrton Bangolo
- Department of Hematology and Oncology, John Theurer Cancer Center, Hackensack University Medical Center, Hackensack, NJ 07601, USA;
| | - Vignesh Krishnan Nagesh
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Grace Simonson
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Abhishek Thapa
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Arun Ram
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Nithin Jayan Santhakumari
- Department of Internal Medicine, University Hospitals of Leicester NHS Trust, Leicester LE1 5WW, UK;
| | - Rayan Chamroukh
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | | | - Shallot Nareeba
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Aiswarya Menon
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Kousik Sridharan
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Angel Ann Chacko
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Charlene Mansour
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Daniel Elias
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Gurinder R. Singh
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Aaron Rambaransingh
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Luis Roman Mendez
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Charlotte Levy
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Izage Kianifar Aguilar
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Ibrahim Hamad
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Urveesh Sharma
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Jose Salcedo
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Hadrian Hoang-Vu Tran
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Abdullah Haq
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Tahir B. Geleto
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Kaysha Jean
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Luis Periel
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Sara Bravin
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| | - Simcha Weissman
- Department of Internal Medicine, Hackensack Palisades Medical Center, North Bergen, NJ 07047, USA (A.M.); (A.A.C.); (C.M.); (D.E.); (I.K.A.); (L.P.); (S.W.)
| |
Collapse
|
|
4
|
Peng J, Huang S, Wang X, Shi X, Xu H, Wang P, Chen Q, Zhang W, Shi L, Peng Y, Wang N, Tang X. Global, regional, and national burden of gastrointestinal cancers among adolescents and young adults from 1990 to 2019, and burden prediction to 2040. BMC Public Health 2024; 24:3312. [PMID: 39609778 PMCID: PMC11603860 DOI: 10.1186/s12889-024-20777-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 11/18/2024] [Indexed: 11/30/2024] Open
Abstract
BACKGROUND Gastrointestinal (GI) cancers have heavily burdened public health. Few studies reported GI cancer burden among adolescents and young adults (AYA). To address this gap, we explored the burden of GI cancer among people aged 15-39. METHODS We retrieved data from the Global Burden of Disease Study 2019 Data Resources. The average annual percent change (AAPC) of rates was calculated by linear regression analysis of the natural logarithm. Bayesian age-period-cohort model was applied to predict the future burden. RESULTS In 2019, there were 171,857 (95% uncertain interval [95% UI]: 157,092-187,974) new GI cancer cases with a rate of 5.79/100,000 (95% UI: 5.29-6.33) and 91,033 (95% UI: 83,156-99,399) deaths at a rate of 3.07/100,000 (95% UI: 2.80-3.35) among AYA. The number of prevalent cases and disability-adjusted life years (DALYs) were 722,573 (95% UI: 660,806-789,476) and 5,151,294 (95% UI: 4,706,065-56,188,77), with rates of 24.35/100,000 (95% UI: 22.27-26.60) and 173.57/100,000 (95% UI: 158.57-189.32) respectively. The overall rates of mortality (AAPC = -1.281, p < 0.001) and DALY (AAPC = -1.283, p < 0.001) of GI cancers declined during the past 30 years, while the incidence rate (AAPC = -0.270, p = 0.074) remained stable and the prevalence rate (AAPC = 1.066, p < 0.001) increased. The burden of colorectal cancer (CRC) and pancreatic cancer increased, while those of stomach cancer (SC) and liver cancer (LC) declined. Among the 21 GBD regions, East Asia exhibited the highest burden, while within the five SDI regions, high-middle SDI locations showed the highest rates across all four indicators. CRC, SC, and LC emerged as the primary culprits, attaining a position within the top ten absolute DALYs for all AYA cancers. There were predicted to be 315,792 new cases and 174,068 deaths of GI cancers among AYA in 2040. CONCLUSIONS Despite the decrease in mortality and DALY rates of GI cancers among AYA, they remain prevalent. The burden varied with locations, SDI levels, sexes, and cancer types. Sufficient attention and multi-party cooperation are needed to control the widespread public health issue.
Collapse
Affiliation(s)
- Jieyu Peng
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Shu Huang
- Department of Gastroenterology, Lianshui County People' Hospital, Huaian, China
- Department of Gastroenterology, Lianshui People' Hospital of Kangda College Affiliated to Nanjing Medical University, Huaian, China
| | - Xiaohong Wang
- Department of Gastroenterology, Xuzhou Central Hospital, Xuzhou Clinical School of Xuzhou Medical University, Xuzhou, China
| | - Xiaomin Shi
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Huan Xu
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Ping Wang
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Qi Chen
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Wei Zhang
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Lei Shi
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Yan Peng
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China
| | - Nanjun Wang
- Department of Gastroenterology and Hepatology, The First Medical Center of Chinese PLA General Hospital, Haidian District, No. 28 Fuxing Road, Beijing, 100853, China.
| | - Xiaowei Tang
- Department of Gastroenterology, the Affiliated Hospital of Southwest Medical University, Street Taiping No.25, Region Jiangyang, Luzhou, Sichuan Province, 646099, China.
- Nuclear Medicine and Molecular Imaging Key Laboratory of Sichuan Province, Luzhou, China.
| |
Collapse
|
|
5
|
Wu HY, Jin J, Chen C, Xu JJ, Jiang Q, Lu DM. Effects of three-dimensional quality assessment nursing intervention on efficacy and disease management of patients undergoing esophageal cancer surgery. World J Gastrointest Surg 2024; 16:2979-2985. [PMID: 39351578 PMCID: PMC11438802 DOI: 10.4240/wjgs.v16.i9.2979] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/13/2024] [Revised: 07/15/2024] [Accepted: 07/22/2024] [Indexed: 09/18/2024] Open
Abstract
BACKGROUND Esophageal cancer is one of the most common malignant tumors. The three-dimensional quality structure model is a quality assessment theory that includes three dimensions: Structure, process, and results. AIM To investigate the effects of nursing interventions with three-dimensional quality assessment on the efficacy and disease management ability of patients undergoing esophageal cancer surgery. METHODS In this prospective study, the control group received routine nursing, and the intervention group additionally received a three-dimensional quality assessment intervention based on the above routine care. Self-efficacy and patient disease management abilities were evaluated using the General Self-Efficacy Scale (GSES) and Exercise of Self-Care Agency scale, respectively. IBM SPSS Statistics for Windows, version 17.0, was used for the data processing. RESULTS This study recruited 112 patients who were assigned to the control and experimental groups (n = 56 per group). Before the intervention, there was no significant difference in GSES scores between the two groups (P > 0.05). After the intervention, the GSES scores of both groups increased, with the experimental group showing higher values (P < 0.05). At the time of discharge and three months after discharge, the scores for positive attitudes, self-stress reduction, and total score of health promotion in the experimental group were higher than those in the control group (P < 0.05). CONCLUSION The implementation of a three-dimensional quality structure model for postoperative patients with esophageal cancer can effectively improve their self-management ability and self-efficacy of postoperative patients.
Collapse
Affiliation(s)
- Hai-Yan Wu
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| | - Jie Jin
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| | - Chen Chen
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| | - Jing-Jing Xu
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| | - Qi Jiang
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| | - Dong-Mei Lu
- Department of Cardiothoracic Surgery, Huai'an First People's Hospital, Huai'an 223300, Jiangsu Province, China
| |
Collapse
|
|
6
|
Badawi KA, Hamed MM, Mohammed NA. An innovative biosensor harnessing the potential of photonic crystal technology to identify a multitude of cancer cells, distinguished by heightened quality factor and sensitivity. JOURNAL OF OPTICS 2024; 53:3246-3258. [DOI: 10.1007/s12596-023-01524-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 10/28/2023] [Indexed: 01/04/2025]
|
|
7
|
Lin X, Lin X, Liang W, Deng W, Liu W. Accuracy and influencing factors of Type B2 vessels in predicting the invasion depth of superficial esophageal squamous cell carcinoma under narrow-band imaging magnifying endoscopy. Discov Oncol 2024; 15:335. [PMID: 39107535 PMCID: PMC11303668 DOI: 10.1007/s12672-024-01215-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/27/2024] [Accepted: 08/01/2024] [Indexed: 08/10/2024] Open
Abstract
OBJECTIVE To evaluate the accuracy of Type B2 based on narrow-band imaging-magnifying endoscopy (NBI-ME) in judging invasion depth of superficial esophageal squamous cell carcinoma (SESCC) and analyze potential influencing factors. METHOD Data from 113 patients where Type B2 was observed by magnifying endoscopy and confirmed by postoperative pathology as SESCC at the First Affiliated Hospital of Fujian Medical University and Fujian Provincial Hospital from January 2015 to April 2024 were retrospectively analyzed. Patients were divided into correct prediction and incorrect prediction groups according to the postoperative pathological results, and the prediction accuracy was calculated. The incorrect prediction group was further divided into overestimation and underestimation groups to identify the influential factors for overprediction and underprediction, respectively. The independent influential factors for the prediction were assessed using multivariate Cox logistic regression analysis. RESULTS B2-narrow (Type B2 area ≤ 5 mm) (p < 0.001) and Type B2 around erosion (p = 0.040) were independent risk factors of overpredicting the invasion depth of SESCC based on Type B2. The presence of significant endoscopic features was an independent protective factor for overpredicting the invasion depth of SESCC (p = 0.014), whereas the presence of significant features under endoscopy was an independent risk factor for the underprediction (p = 0.005). CONCLUSION B2-narrow (Type B2 area ≤ 5 mm), Type B2 vessels around erosion, and non- significant endoscopic features are closely related to overpredicting the invasion depth of SESCC based on Type B2, and the presence of significant endoscopic features is closely associated with underprediction.
Collapse
Affiliation(s)
- Xu Lin
- Department of Endoscopy Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, Fujian, China.
| | - Xiaolu Lin
- Department of Digestive Endoscopy, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Wei Liang
- Department of Digestive Endoscopy, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Wangyin Deng
- Department of Digestive Endoscopy, Fujian Provincial Hospital, Fuzhou, 350001, Fujian, China
| | - Wenming Liu
- Department of Endoscopy Center, The First Affiliated Hospital of Fujian Medical University, Fuzhou, 350000, Fujian, China
| |
Collapse
|
|
8
|
Zhang S, Liu Y, Liao W, Ron Zee Tan R, Bi R, Olivo M. Ex Vivo Tissue Classification Using Broadband Hyperspectral Imaging Endoscopy and Artificial Intelligence: A Pilot Study. IEEE SENSORS JOURNAL 2024; 24:24737-24749. [DOI: 10.1109/jsen.2024.3411165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2025]
Affiliation(s)
- Shuyan Zhang
- Institute of Materials Research and Engineering (IMRE), Agency of Science (A*STAR), Fusionopolis, Singapore
| | - Yingxin Liu
- School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Jurong West, Singapore
| | - Wenjun Liao
- Department of Biomedical Engineering, National University of Singapore, Queenstown, Singapore
| | - Ryan Ron Zee Tan
- Department of Biomedical Engineering, National University of Singapore, Queenstown, Singapore
| | - Renzhe Bi
- A*STAR Skin Research Labs (A*SRL), Fusionopolis, Singapore
| | - Malini Olivo
- A*STAR Skin Research Labs (A*SRL), Fusionopolis, Singapore
| |
Collapse
|
|
9
|
Tao Y, Fang L, Qin G, Xu Y, Zhang S, Zhang X, Du S. Efficiency of endoscopic artificial intelligence in the diagnosis of early esophageal cancer. Thorac Cancer 2024; 15:1296-1304. [PMID: 38685604 PMCID: PMC11147664 DOI: 10.1111/1759-7714.15261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/03/2024] [Accepted: 02/06/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND The accuracy of artificial intelligence (AI) and experts in diagnosing early esophageal cancer (EC) and its infiltration depth was summarized and analyzed, thus identifying the advantages of AI over traditional manual diagnosis, with a view to more accurately assisting doctors in evaluating the patients' conditions and improving their cure and survival rates. METHODS The PubMed, EMBASE, Cochrane, Google, and CNKI databases were searched for relevant literature related to AI diagnosis of early EC and its invasion depth published before August 2023. Summary analysis of pooled sensitivity, specificity, summary receiver operating characteristics (SROC) and area under the curve (AUC) of AI in diagnosing early EC were performed, and Review Manager and Stata were adopted for data analysis. RESULTS A total of 19 studies were enrolled with a low to moderate total risk of bias. The pooled sensitivity of AI for diagnosing early EC was markedly higher than that of novices and comparable to that of endoscopists. Moreover, AI predicted early EC with markedly higher AUCs than novices and experts (0.93 vs. 0.74 vs. 0.89). In addition, pooled sensitivity and specificity in the diagnosis of invasion depth in early EC were higher than that of experts, with AUCs of 0.97 and 0.92, respectively. CONCLUSION AI-assistance can diagnose early EC and its infiltration depth more accurately, which can help in its early intervention and the customization of personalized treatment plans. Therefore, AI systems have great potential in the early diagnosis of EC.
Collapse
Affiliation(s)
- Yongkang Tao
- Department of GastroenterologyChina‐Japan Friendship HospitalBeijingChina
| | - Long Fang
- Department of GastroenterologyChina‐Japan Friendship HospitalBeijingChina
| | - Geng Qin
- Department of GastroenterologyChina‐Japan Friendship HospitalBeijingChina
| | - Yingying Xu
- Department of GastroenterologyChina‐Japan Friendship HospitalBeijingChina
| | - Shuang Zhang
- Beijing University of Chinese MedicineBeijingChina
| | | | - Shiyu Du
- Department of GastroenterologyChina‐Japan Friendship HospitalBeijingChina
| |
Collapse
|
|
10
|
Chou CK, Karmakar R, Tsao YM, Jie LW, Mukundan A, Huang CW, Chen TH, Ko CY, Wang HC. Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO Frameworks. Diagnostics (Basel) 2024; 14:1129. [PMID: 38893655 PMCID: PMC11171540 DOI: 10.3390/diagnostics14111129] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Revised: 05/16/2024] [Accepted: 05/22/2024] [Indexed: 06/21/2024] Open
Abstract
The early detection of esophageal cancer presents a substantial difficulty, which contributes to its status as a primary cause of cancer-related fatalities. This study used You Only Look Once (YOLO) frameworks, specifically YOLOv5 and YOLOv8, to predict and detect early-stage EC by using a dataset sourced from the Division of Gastroenterology and Hepatology, Ditmanson Medical Foundation, Chia-Yi Christian Hospital. The dataset comprised 2741 white-light images (WLI) and 2741 hyperspectral narrowband images (HSI-NBI). They were divided into 60% training, 20% validation, and 20% test sets to facilitate robust detection. The images were produced using a conversion method called the spectrum-aided vision enhancer (SAVE). This algorithm can transform a WLI into an NBI without requiring a spectrometer or spectral head. The main goal was to identify dysplasia and squamous cell carcinoma (SCC). The model's performance was evaluated using five essential metrics: precision, recall, F1-score, mAP, and the confusion matrix. The experimental results demonstrated that the HSI model exhibited improved learning capabilities for SCC characteristics compared with the original RGB images. Within the YOLO framework, YOLOv5 outperformed YOLOv8, indicating that YOLOv5's design possessed superior feature-learning skills. The YOLOv5 model, when used in conjunction with HSI-NBI, demonstrated the best performance. It achieved a precision rate of 85.1% (CI95: 83.2-87.0%, p < 0.01) in diagnosing SCC and an F1-score of 52.5% (CI95: 50.1-54.9%, p < 0.01) in detecting dysplasia. The results of these figures were much better than those of YOLOv8. YOLOv8 achieved a precision rate of 81.7% (CI95: 79.6-83.8%, p < 0.01) and an F1-score of 49.4% (CI95: 47.0-51.8%, p < 0.05). The YOLOv5 model with HSI demonstrated greater performance than other models in multiple scenarios. This difference was statistically significant, suggesting that the YOLOv5 model with HSI significantly improved detection capabilities.
Collapse
Affiliation(s)
- Chu-Kuang Chou
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi 60002, Taiwan;
- Obesity Center, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi 60002, Taiwan
- Department of Medical Quality, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi 60002, Taiwan
| | - Riya Karmakar
- Department of Mechanical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan; (R.K.); (Y.-M.T.); (A.M.)
| | - Yu-Ming Tsao
- Department of Mechanical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan; (R.K.); (Y.-M.T.); (A.M.)
| | - Lim Wei Jie
- Department of Computer Science, Multimedia University (Cyberjaya), Persiaran Multimedia, Cyberjaya 63100, Malaysia;
| | - Arvind Mukundan
- Department of Mechanical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan; (R.K.); (Y.-M.T.); (A.M.)
| | - Chien-Wei Huang
- Department of Gastroenterology, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Lingya District, Kaohsiung City 80284, Taiwan;
- Department of Nursing, Tajen University, 20, Weixin Rd., Yanpu Township 90741, Pingtung County, Taiwan
| | - Tsung-Hsien Chen
- Department of Internal Medicine, Ditmanson Medical Foundation Chia-Yi Christian Hospital, Chia-Yi 60002, Taiwan;
| | - Chau-Yuan Ko
- Department of Gastroenterology, Kaohsiung Armed Forces General Hospital, 2, Zhongzheng 1st. Rd., Lingya District, Kaohsiung City 80284, Taiwan;
| | - Hsiang-Chen Wang
- Department of Mechanical Engineering, National Chung Cheng University, Chia-Yi 62102, Taiwan; (R.K.); (Y.-M.T.); (A.M.)
- Department of Medical Research, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, No. 2, Minsheng Road, Dalin, Chia-Yi 62247, Taiwan
- Director of Technology Development, Hitspectra Intelligent Technology Co., Ltd., Kaohsiung City 80661, Taiwan
| |
Collapse
|
|
11
|
Nopour R. Design of risk prediction model for esophageal cancer based on machine learning approach. Heliyon 2024; 10:e24797. [PMID: 38312629 PMCID: PMC10835323 DOI: 10.1016/j.heliyon.2024.e24797] [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: 08/29/2023] [Revised: 01/11/2024] [Accepted: 01/15/2024] [Indexed: 02/06/2024] Open
Abstract
Background and aim Esophageal cancer (EC) is a highly prevalent and progressive disease. Early prediction of EC risk in the population is crucial in preventing this disease and enhancing the overall health of individuals. So far, few studies have been conducted on predicting the EC risk based on the prediction models, and most of them focused on statistical methods. The ML approach obtained efficient predictive insights into the clinical domain. Therefore, this study aims to develop a risk prediction model for EC based on risk factors and by leveraging the ML approach to stratify the high-risk EC people and obtain efficient preventive purposes at the community level. Material and methods The current retrospective study was performed from 2018 to 2022 in Sari City based on 3256 EC and non-EC cases. The six selected algorithms, including Random Forest (RF), eXtreme Gradient Boosting (XG-Boost), Bagging, K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), and Artificial Neural Networks (ANNs), were used to develop the risk prediction model for EC and achieve the preventive purposes. Results Comparing the performance efficiency of algorithms revealed that the XG-Boost model gained the best predictability for EC risk with AU-ROC = 0.92 and AU-ROC-test = 0.889 for internal and validation states, respectively. Based on the XG-Boost, the factors, including sex, drinking hot liquids, fruit consumption, achalasia, and vegetable consumption, were considered the five top predictors of EC risk. Conclusion This study showed that the XG-Boost could provide insight into the early prediction of the EC risk for people and clinical providers to stratify the high-risk group of EC and achieve preventive measures based on modifying the risk factors associated with EC and other clinical solutions.
Collapse
Affiliation(s)
- Raoof Nopour
- Department of Health Information Management, Student Research Committee, School of Health Management and Information Sciences Branch, Iran University of Medical Sciences, Tehran, Iran
| |
Collapse
|
|
12
|
Yang H, Li X, Yang W. Advances in targeted therapy and immunotherapy for esophageal cancer. Chin Med J (Engl) 2023; 136:1910-1922. [PMID: 37403208 PMCID: PMC10431250 DOI: 10.1097/cm9.0000000000002768] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Indexed: 07/06/2023] Open
Abstract
ABSTRACT Esophageal cancer (EC) is one of the most common aggressive malignant tumors in the digestive system with a severe epidemiological situation and poor prognosis. The early diagnostic rate of EC is low, and most EC patients are diagnosed at an advanced stage. Multiple multimodality treatments have gradually evolved into the main treatment for advanced EC, including surgery, chemotherapy, radiotherapy, targeted therapy, and immunotherapy. And the emergence of targeted therapy and immunotherapy has greatly improved the survival of EC patients. This review highlights the latest advances in targeted therapy and immunotherapy for EC, discusses the efficacy and safety of relevant drugs, summarizes related important clinical trials, and tries to provide references for therapeutic strategy of EC.
Collapse
Affiliation(s)
- Haiou Yang
- Cancer center, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, Shanxi 030032, China
| | - Xuewei Li
- Department of Biochemistry and Molecular Biology, Shanxi Key Laboratory of Birth Defect and Cell Regeneration, Shanxi Medical University, Taiyuan, Shanxi 030001, China
| | - Wenhui Yang
- Department of Gastroenterology, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, Shanxi 030001, China
| |
Collapse
|
|
13
|
Chen C, Song YL, Wu ZY, Chen J, Zhang Y, Chen L. Diagnostic value of conventional endoscopic ultrasound for lymph node metastasis in upper gastrointestinal neoplasia: A meta-analysis. World J Gastroenterol 2023; 29:4685-4700. [PMID: 37662859 PMCID: PMC10472901 DOI: 10.3748/wjg.v29.i30.4685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 07/16/2023] [Accepted: 07/27/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Upper gastrointestinal neoplasia mainly includes esophageal cancer and gastric cancer, both of which have high morbidity and mortality. Lymph node metastasis (LNM), as the most common metastasis mode of both diseases, is an important factor affecting tumor stage, treatment strategy and clinical prognosis. As a new fusion technology, endoscopic ultrasound (EUS) is becoming increasingly used in the diagnosis and treatment of digestive system diseases, but its use in detecting LNM in clinical practice remains limited. AIM To evaluate the diagnostic value of conventional EUS for LNM in upper gastrointestinal neoplasia. METHODS Using the search mode of "MeSH + Entry Terms" and according to the predetermined inclusion and exclusion criteria, we conducted a comprehensive search and screening of the PubMed, EMBASE and Cochrane Library databases from January 1, 2000 to October 1, 2022. Study data were extracted according to the predetermined data extraction form. The quality of the included studies was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool, and the results of the quality assessment were presented using Review Manager 5.3.5 software. Finally, Stata14.0 software was used for a series of statistical analyses. RESULTS A total of 22 studies were included in our study, including 2986 patients. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic score and diagnostic odds ratio of conventional EUS in the diagnosis of upper gastrointestinal neoplasia LNM were 0.62 [95% confidence interval (CI): 0.50-0.73], 0.80 (95%CI: 0.73-0.86), 3.15 (95%CI: 2.46-4.03), 0.47 (95%CI: 0.36-0.61), 1.90 (95%CI: 1.51-2.29) and 6.67 (95%CI: 4.52-9.84), respectively. The area under the summary receiver operating characteristic curve was 0.80 (95%CI: 0.76-0.83). Sensitivity analysis indicated that the results of the meta-analysis were stable. There was considerable heterogeneity among the included studies, and the threshold effect was an important source of heterogeneity. Univariable meta-regression and subgroup analysis showed that tumor type, sample size and EUS diagnostic criteria were significant sources of heterogeneity in specificity (P < 0.05). No significant publication bias was found. CONCLUSION Conventional EUS has certain clinical value and can assist in the detection of LNM in upper gastrointestinal neoplasia, but it cannot be used as a confirmatory or exclusionary test.
Collapse
Affiliation(s)
- Cong Chen
- Institute of Gastroenterology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Ya-Lan Song
- Institute of Gastroenterology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Zhen-Yu Wu
- Institute of Gastroenterology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Jing Chen
- Institute of Gastroenterology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Yao Zhang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing 400038, China
| | - Lei Chen
- Institute of Gastroenterology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing 400038, China
| |
Collapse
|
|
14
|
Yang H, Xiang C, Mou Y, Zhou X, Li W, Duan Y, Hu B. The investigation of volatile organic compounds in diagnosing (early) esophageal squamous cell carcinoma and gastric adenocarcinoma. J Cancer Res Clin Oncol 2023; 149:7029-7041. [PMID: 36859724 DOI: 10.1007/s00432-023-04595-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 01/21/2023] [Indexed: 03/03/2023]
Abstract
PURPOSE The diagnosis of upper gastrointestinal cancer (UGIC) and early UGIC is currently based on endoscopy and histopathology. In this study, we aimed to explore whether intraluminal and exhaled volatile organic compounds (VOCs) could be used to diagnose (early) esophageal squamous cell carcinoma (ESCC) and gastric adenocarcinoma (GC). METHODS We prospectively recruited 259 patients and first collected intraluminal gas simples directly from upper GI tract via our designed device after passing endoscopic biopsy channel and collected exhaled gas samples in pairs. RESULTS 509 gas samples were totally collected and VOCs composed by peak compounds detected by gas chromatography-mass spectrometry (GC-MS) were used to train and test Multilayer Perceptron Network (MPN) for discrimination. Intraluminal and exhaled gas had more than 0.95 area under the curve (AUC) to discriminate UGIC (ESCC and GC) and early UGIC from benign control with different VOCs compositions. CONCLUSION Both intraluminal and exhaled VOCs had cancer-specific compositions to accurately discriminate early UGIC and UGIC, and the ability of intraluminal VOCs was better than that of exhaled VOCs. These suggested the potential role of VOCs in diagnosing and screening early UGIC and UGIC in the future.
Collapse
Affiliation(s)
- Hang Yang
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu, 610041, Sichuan, China
| | - Chengfang Xiang
- College of Chemistry, Sichuan University, Chengdu, 610041, China
| | - Yi Mou
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu, 610041, Sichuan, China
| | - Xinyue Zhou
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu, 610041, Sichuan, China
| | - Wenwen Li
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China
| | - Yixiang Duan
- School of Mechanical Engineering, Sichuan University, Chengdu, 610064, China
| | - Bing Hu
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu, 610041, Sichuan, China.
| |
Collapse
|
|
15
|
Cheng M, Xin Q, Ma S, Ge M, Wang F, Yan X, Jiang B. Advances in the Theranostics of Oesophageal Squamous Carcinoma. ADVANCED THERAPEUTICS 2023; 6. [DOI: 10.1002/adtp.202200251] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Indexed: 01/04/2025]
Abstract
AbstractOesophageal squamous carcinoma (ESCC) is one of the most lethal human malignancies, and it is a more aggressive form of oesophageal cancer (EC) that comprises over 90% of all EC cases in China compared with oesophageal adenocarcinoma (EAC). The high mortality of ESCC is attributed to the late‐stage diagnosis, chemoradiotherapy resistance, and lack of appropriate therapeutic targets and corresponding therapeutic formulations. Recently, emerging clinical and translational investigations have involved genome analyses, diagnostic biomarkers, and targeted therapy for ESCC, and these studies provide a new horizon for improving the clinical outcomes of patients with ESCC. Here, the latest research advances in the theranostics of ESCC are reviewed and the unique features of ESCC (including differences from EAC, genomic alterations, and microbe infections), tissue and circulating biomarkers, chemoradiotherapy resistance, clinical targeted therapy for ESCC, identification of novel therapeutic targets, and designation of nanotherapeutic systems for ESCC are particularly focused on. Finally, the perspectives for future clinical and translational theranostic research of ESCC are discussed and the obstacles that must be overcome in ESCC theranostics are described.
Collapse
Affiliation(s)
- Miaomiao Cheng
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
| | - Qi Xin
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
| | - Saiyu Ma
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
| | - Mengyue Ge
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
| | - Feng Wang
- Oncology Department The First Affiliated Hospital of Zhengzhou University Zhengzhou Henan 450000 China
| | - Xiyun Yan
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
- State Key Laboratory of Esophageal Cancer Prevention &Treatment Zhengzhou Henan 450001 China
- CAS Engineering Laboratory for Nanozyme Key Laboratory of Protein and Peptide Pharmaceuticals Institute of Biophysics Chinese Academy of Sciences Beijing 100101 China
| | - Bing Jiang
- Nanozyme Medical Center School of Basic Medical Sciences Zhengzhou University Zhengzhou 450001 China
- State Key Laboratory of Esophageal Cancer Prevention &Treatment Zhengzhou Henan 450001 China
| |
Collapse
|
|
16
|
Li J, Song Y, Cai H, Zhou B, Ma J. Roles of circRNA dysregulation in esophageal squamous cell carcinoma tumor microenvironment. Front Oncol 2023; 13:1153207. [PMID: 37384299 PMCID: PMC10299836 DOI: 10.3389/fonc.2023.1153207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/30/2023] [Indexed: 06/30/2023] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is the most prevalent histological esophageal cancer characterized by advanced diagnosis, metastasis, resistance to treatment, and frequent recurrence. In recent years, numerous human disorders such as ESCC, have been linked to abnormal expression of circular RNAs (circRNAs), suggesting that they are fundamental to the intricate system of gene regulation that governs ESCC formation. The tumor microenvironment (TME), referring to the area surrounding the tumor cells, is composed of multiple components, including stromal cells, immune cells, the vascular system, extracellular matrix (ECM), and numerous signaling molecules. In this review, we briefly described the biological purposes and mechanisms of aberrant circRNA expression in the TME of ESCC, including the immune microenvironment, angiogenesis, epithelial-to-mesenchymal transition, hypoxia, metabolism, and radiotherapy resistance. As in-depth research into the processes of circRNAs in the TME of ESCC continues, circRNAs are promising therapeutic targets or delivery systems for cancer therapy and diagnostic and prognostic indicators for ESCC.
Collapse
Affiliation(s)
- Jingyi Li
- Department of Clinical Laboratory, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Yuxia Song
- Department of Reproductive Medicine, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Huihong Cai
- Department of Clinical Laboratory, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Bo Zhou
- Medical Research Center, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jun Ma
- Department of Clinical Laboratory, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
|
17
|
Fang K, Sun M, Leng Z, Chu Y, Zhao Z, Li Z, Zhang Y, Xu A, Zhang Z, Zhang L, Chen T, Xu M. Targeting IGF1R signaling enhances the sensitivity of cisplatin by inhibiting proline and arginine metabolism in oesophageal squamous cell carcinoma under hypoxia. J Exp Clin Cancer Res 2023; 42:73. [PMID: 36978187 PMCID: PMC10044411 DOI: 10.1186/s13046-023-02623-2] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/14/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND Cisplatin (DDP)-based chemotherapy is commonly adopted as the first-line treatment for patients with oesophageal squamous cell carcinoma (OSCC), but the high rate of drug resistance limits its clinical application and the underlying mechanisms at play remain unclear. The aims of this study were to elucidate the role of abnormal signal transmission and metabolism in the chemoresistance of OSCC under hypoxia and to identify targeted drugs that enhance the sensitivity of DDP chemotherapy. METHODS Upregulated genes in OSCC were determined by RNA sequencing (RNA-seq), the Cancer Genome Atlas (TCGA) database, immunohistochemistry (IHC), real-time quantitative PCR (RT-qPCR), and western blotting (WB). The clinicopathological significance of insulin-like growth factor-I receptor (IGF1R), argininosuccinate synthetase 1 (ASS1), and pyrroline-5-carboxylate reductase 1 (PYCR1) in OSCC was analysed using tissue micriarray (TMA). Metabolic abnormalities were determined by untargeted metabolomics analysis. The DDP-resistance role of IGF1R, ASS1, and PYCR1 in OSCC was investigated in vitro and in vivo. RESULTS Generally, tumour cells exist in a hypoxic microenvironment. By genomic profiling, we determined that IGF1R, as a receptor tyrosine kinase (RTK), was upregulated in OSCC under low-oxygen conditions. Clinically, enhanced IGF1R expression was associated with higher tumour stages and a poorer prognosis in OSCC patients, and its inhibitor, linsitinib, showed synergistic effects with DDP therapy in vivo and in vitro. Since oxygen-deprivation frequently lead to metabolic reprogramming, we further learned via metabolomics analysis that abnormal IGF1R pathways promoted the expression of metabolic enzymes ASS1 and PYCR1 by the transcriptional activity of c-MYC. In detail, enhanced expression of ASS1 promotes arginine metabolism for biological anabolism, whereas PYCR1 activates proline metabolism for redox balance, which maintains the proliferation ability of OSCC cells during DDP treatment under hypoxic conditions. CONCLUSION Enhanced expression of ASS1 and PYCR1 via IGF1R pathways rewired arginine and proline metabolism, promoting DDP resistance in OSCC under hypoxia. Linsitinib targeting IGF1R signaling may lead to promising combination therapy options for OSCC patients with DDP resistance.
Collapse
Affiliation(s)
- Kang Fang
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Mingchuang Sun
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Zhuyun Leng
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Yuan Chu
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Ziying Zhao
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Zhaoxing Li
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Yunwei Zhang
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Aiping Xu
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Zehua Zhang
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Li Zhang
- Department of Pathology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China
| | - Tao Chen
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
| | - Meidong Xu
- Endoscopy Center, Department of Gastroenterology, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, 200120, China.
| |
Collapse
|
|
18
|
Xu J, Yang M, Shao AZ, Pan HW, Fan YX, Chen KP. Identification and Validation of Common Reference Genes for Normalization of Esophageal Squamous Cell Carcinoma Gene Expression Profiles. BIOMED RESEARCH INTERNATIONAL 2022; 2022:9125242. [PMID: 36467891 PMCID: PMC9711964 DOI: 10.1155/2022/9125242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 09/29/2022] [Accepted: 09/30/2022] [Indexed: 09/04/2024]
Abstract
Esophageal squamous cell carcinoma (ESCC) is one of the subtypes of esophageal cancer with Chinese characteristics, and its five-year survival rate is less than 20%. Early diagnosis is beneficial to improving the survival rate of ESCC significantly. Quantitative Real-Time Polymerase Chain Reaction is a high-throughput technique that can quantify tumor-related genes for early diagnosis. Its accuracy largely depends on the stability of the reference gene. There is no systematic scientific basis to demonstrate which reference gene expression is stable in ESCC and no consensus on the selection of internal reference. Therefore, this research used four software programs (The comparative delta-Ct method, GeNorm, NormFinder, and BestKeeper) to evaluate the expression stability of eight candidate reference genes commonly used in other tumor tissues and generated a comprehensive analysis by RefFinder. Randomly selected transcriptome sequencing analysis confirmed the SPP1 gene is closely related to ESCC. It was found that the expression trend of SPP1 obtained by RPS18 and PPIA as internal reference genes were the same as that of sequencing. The results show that RPS18 and PPIA are stable reference genes, and PPIA + RPS18 are a suitable reference gene combination. This is a reference gene report that combines transcriptome sequencing analysis and only focuses on ESCC, which makes the quantification more precise, systematic, and standardized, and promotes gene regulation research and the early diagnosis of ESCC in the future.
Collapse
Affiliation(s)
- Jia Xu
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Ming Yang
- Department of General Surgery, Fifth People's Hospital of Huaian City, Huaian, China
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
| | - Ai-zhong Shao
- Department of Cardiothorac Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, China
| | - Hui-wen Pan
- Department of Cardiothoracic Surgery, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Yi-xuan Fan
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| | - Ke-ping Chen
- School of Life Sciences, Jiangsu University, Zhenjiang, China
| |
Collapse
|
|
19
|
Knockdown of Long Noncoding RNA LINC00240 Inhibits Esophageal Cancer Progression by Regulating miR-26a-5p. CONTRAST MEDIA & MOLECULAR IMAGING 2022; 2022:1071627. [PMID: 36262998 PMCID: PMC9556215 DOI: 10.1155/2022/1071627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 01/26/2023]
Abstract
Background Esophageal cancer is the most prevalent digestive system tumor. Due to a lack of characteristic symptoms and early diagnosis, a confirmed esophageal cancer is typically detected at a progressively harmful stage. Therefore, it is critical to investigate the molecular mechanisms governing the formation and progression of esophageal cancer in order to identify new treatment targets for esophageal cancer early detection. Methods We first screened the differentially expressed gene LINC00240 in the TCGA database. Multivariate analysis and Cox regression were performed, and a nomogram was constructed for internal validation. The correlation between LINC00240 and immune cells was analyzed using the TIMER database. The possible mechanism of action was explored through GSEA enrichment analysis. Then, in 43 esophageal cancer tissues, paracancour tissues, and cell lines, the LINC00240 expression was found. Transwell assays, CCK-8, and clone formation assays were utilized to assess the impact of LINC00240 on the metastasis of esophageal cancer cells. The binding activity of LINC00240 to downstream miRNAs was assessed using the luciferase reporter gene. Results TCGA database showed that LINC00240 expression was increased in cancer tissues compared to adjacent tissues. The C-index of the nomogram is 0.712 (0.666-0.758), and the prediction model has good accuracy. According to the TIMER database, the LINC00240 expression is linked to immune infiltration and may be crucial in encouraging the immune escape of tumor cells. Gene enrichment analysis depicts that LINC00240 could influence the biological events of esophageal cancer by taking part in pathways such as affecting the cell cycle. LINC00240 expression was substantially greater in the plasma of esophageal cancer patients (3.94 ± 1.55) than in the normal control group (2.13 ± 0.89). Plasma expression of LINC00240 was linked to the degree of differentiation (P=0.0345) and TNM stage (P=0.0409). Knocked down LINC00240 inhibited esophageal cancer cells proliferation, lone formation, and invasion. LINC00240 might bind itself to miR-26a-5p and influence its expression. MiR-26a-5p inhibitor can dramatically limit the ability of LINC00240 knockdown on plate colony formation and relocation of esophageal cancerous cells was demonstrated in colony formation and migration experiments. Conclusion LINC00240 expression is elevated in esophageal cancerous tissues, and knocking down LINC00240 decreases esophageal cancer cell proliferation, clone formation, invasion, and migration via miR-26a-5p. As a result, LINC00240 could be a novel target for esophageal cancer patients' early diagnosis and treatment.
Collapse
|
|
20
|
Tu JX, Lin XT, Ye HQ, Yang SL, Deng LF, Zhu RL, Wu L, Zhang XQ. Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer. Front Oncol 2022; 12:972357. [PMID: 36091151 PMCID: PMC9453500 DOI: 10.3389/fonc.2022.972357] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 07/29/2022] [Indexed: 12/09/2022] Open
Abstract
ObjectiveUsing visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated.MethodsOn April 7th, 2022, articles and reviews regarding the application of AI in esophageal cancer, published between 2000 and 2022 were chosen from the Web of Science Core Collection. To conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field, VOSviewer (version 1.6.18), CiteSpace (version 5.8.R3), Microsoft Excel 2019, R 4.2, an online bibliometric platform (http://bibliometric.com/) and an online browser plugin (https://www.altmetric.com/) were used.ResultsA total of 918 papers were included, with 23,490 citations. 5,979 authors, 39,962 co-cited authors, and 42,992 co-cited papers were identified in the study. Most publications were from China (317). In terms of the H-index (45) and citations (9925), the United States topped the list. The journal “New England Journal of Medicine” of Medicine, General & Internal (IF = 91.25) published the most studies on this topic. The University of Amsterdam had the largest number of publications among all institutions. The past 22 years of research can be broadly divided into two periods. The 2000 to 2016 research period focused on the classification, identification and comparison of esophageal cancer. Recently (2017-2022), the application of artificial intelligence lies in endoscopy, diagnosis, and precision therapy, which have become the frontiers of this field. It is expected that closely esophageal cancer clinical measures based on big data analysis and related to precision will become the research hotspot in the future.ConclusionsAn increasing number of scholars are devoted to artificial intelligence-related esophageal cancer research. The research field of artificial intelligence in esophageal cancer has entered a new stage. In the future, there is a need to continue to strengthen cooperation between countries and institutions. Improving the diagnostic accuracy of esophageal imaging, big data-based treatment and prognosis prediction through deep learning technology will be the continuing focus of research. The application of AI in esophageal cancer still has many challenges to overcome before it can be utilized.
Collapse
Affiliation(s)
- Jia-xin Tu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Xue-ting Lin
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Hui-qing Ye
- School of Public Health, Nanchang University, Nanchang, China
| | - Shan-lan Yang
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Li-fang Deng
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Ruo-ling Zhu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Lei Wu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
- *Correspondence: Lei Wu, ; Xiao-qiang Zhang,
| | - Xiao-qiang Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Lei Wu, ; Xiao-qiang Zhang,
| |
Collapse
|
|
21
|
Ma H, Wang L, Chen Y, Tian L. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis. Saudi J Gastroenterol 2022; 28:332-340. [PMID: 35848703 PMCID: PMC9752541 DOI: 10.4103/sjg.sjg_178_22] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
BACKGROUND Early screening and treatment of esophageal cancer (EC) is particularly important for the survival and prognosis of patients. However, early EC is difficult to diagnose by a routine endoscopic examination. Therefore, convolutional neural network (CNN)-based artificial intelligence (AI) has become a very promising method in the diagnosis of early EC using endoscopic images. The aim of this study was to evaluate the diagnostic performance of CNN-based AI for detecting early EC based on endoscopic images. METHODS A comprehensive search was performed to identify relevant English articles concerning CNN-based AI in the diagnosis of early EC based on endoscopic images (from the date of database establishment to April 2022). The pooled sensitivity (SEN), pooled specificity (SPE), positive likelihood ratio (LR+), negative likelihood ratio (LR-), diagnostic odds ratio (DOR) with 95% confidence interval (CI), summary receiver operating characteristic (SROC) curve, and area under the curve (AUC) for the accuracy of CNN-based AI in the diagnosis of early EC based on endoscopic images were calculated. We used the I2 test to assess heterogeneity and investigated the source of heterogeneity by performing meta-regression analysis. Publication bias was assessed using Deeks' funnel plot asymmetry test. RESULTS Seven studies met the eligibility criteria. The SEN and SPE were 0.90 (95% confidence interval [CI]: 0.82-0.94) and 0.91 (95% CI: 0.79-0.96), respectively. The LR+ of the malignant ultrasonic features was 9.8 (95% CI: 3.8-24.8) and the LR- was 0.11 (95% CI: 0.06-0.21), revealing that CNN-based AI exhibited an excellent ability to confirm or exclude early EC on endoscopic images. Additionally, SROC curves showed that the AUC of the CNN-based AI in the diagnosis of early EC based on endoscopic images was 0.95 (95% CI: 0.93-0.97), demonstrating that CNN-based AI has good diagnostic value for early EC based on endoscopic images. CONCLUSIONS Based on our meta-analysis, CNN-based AI is an excellent diagnostic tool with high sensitivity, specificity, and AUC in the diagnosis of early EC based on endoscopic images.
Collapse
Affiliation(s)
- Hongbiao Ma
- Department of Thoracic Surgery, Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Longlun Wang
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China
| | - Yilin Chen
- Department of Thoracic Surgery, Chongqing General Hospital, No.118, Xingguang Avenue, Liangjiang New Area, Chongqing, China
| | - Lu Tian
- Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, China,Address for correspondence: Dr. Lu Tian, Department of Radiology, Children's Hospital of Chongqing Medical University, National Clinical Research Center for Child Health and Disorders, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Pediatrics, Chongqing, 400014, China. E-mail:
| |
Collapse
|
|
22
|
Yang H, Mou Y, Hu B. Safety and efficacy of common endoscopic treatments in patients with decompensated liver cirrhosis. Ann Hepatol 2022; 27:100689. [PMID: 35192965 DOI: 10.1016/j.aohep.2022.100689] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 02/11/2022] [Accepted: 02/11/2022] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The safety and efficacy have always been a concern, when patients with decompensated liver cirrhosis (DLC) receive endoscopic treatments. METHODS To evaluate the safety and efficacy of common endoscopic treatments including endoscopic resection (ER) and endoscopic retrograde cholangiopancreatography (ERCP) applying to patients with DLC, we performed a retrospective study finally including 81 patients receiving ER (43 endoscopic mucosal resection (EMR) and 38 endoscopic submucosal dissection (ESD)) and 131 patients treated by ERCP. RESULTS There were no significant differences in the rate of degeneration and invariability of Child-Pugh (CP) class and the overall rate of adverse events between two groups (93.8%/8.6% ER vs. 96.2%/15.3% ERCP). Both the degeneration rate of CP class (35.4%) and the rate of adverse events (27.1%) in subgroup CP class C of ERCP group were significantly higher (P=0). The rate of poor outcomes was higher in ERCP group (12.2%) than that in ER group (2.5%) (P=0.02). And subgroup CP class C of ERCP group had a higher poor outcome rate (27.1%) (P=0). CONCLUSION ER and ERCP could remove focal lesions or relieve symptoms induced by targeted diseases without significant changes of CP class. Significant benefits and risks coexisted in CP class C patients with DLC when receiving ERCP.
Collapse
Affiliation(s)
- Hang Yang
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu 610041, China
| | - Yi Mou
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu 610041, China
| | - Bing Hu
- Department of Gastroenterology, West China Hospital, Sichuan University, No. 37, Guo Xue Xiang, Wu Hou District, Chengdu 610041, China.
| |
Collapse
|
|
23
|
Liu SP, Li XM, Liu DM, Xie SH, Zhang SB, Li Y, Xie ZF. LAMP2 as a Biomarker Related to Prognosis and Immune Infiltration in Esophageal Cancer and Other Cancers: A Comprehensive Pan-Cancer Analysis. Front Oncol 2022; 12:884448. [PMID: 35530327 PMCID: PMC9069144 DOI: 10.3389/fonc.2022.884448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Accepted: 03/14/2022] [Indexed: 02/05/2023] Open
Abstract
Esophageal cancer (ESCA) is a common malignant tumor with poor prognosis. Accumulating evidence indicates an important role of lysosomal-associated membrane protein 2 (LAMP2) in the progression and development of various cancers. In this study, we obtained RNA-sequencing raw count data and the corresponding clinical information for ESCA samples from The Cancer Genome Atlas and Gene Expression Omnibus databases. We comprehensively investigated the expression and prognostic significance of LAMP2 and relationships between LAMP2 expression and prognosis, different clinicopathological parameters, and immune cell infiltration in ESCA. We also obtained the differentially expressed genes between the high LAMP2 expression and low LAMP2 expression groups in ESCA and performed a functional enrichment analysis of the 250 linked genes most positively related to LAMP2 expression. Moreover, we performed the pan-cancer analysis of LAMP2 to further analyze the role of LAMP2 in 25 commonly occurring types of human cancer. We also verified and compared the expression of LAMP2 in 40 samples of human ESCA tissue and adjacent tissues. The results indicated that LAMP2 expression was significantly upregulated in ESCA and various human cancers. In addition, LAMP2 expression was associated with certain clinicopathological parameters, prognosis, and immune infiltration in ESCA and the other types of cancer. Our study represents a comprehensive pan-cancer analysis of LAMP2 and supports the potential use of the modulation of LAMP2 in the management of ESCA and various cancers.
Collapse
Affiliation(s)
- Shan-peng Liu
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Xiao-min Li
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Dan-man Liu
- Breast Surgery Clinics, Guangdong Province Women and Children Hospital, Guangzhou, China
| | - Shu-huan Xie
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Shao-bo Zhang
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Yu Li
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ze-feng Xie
- Thoracic Surgery Department, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| |
Collapse
|
|
24
|
Lu H, Zhao HP, Liu YY, Yu J, Wang R, Gao JB. Esophageal myoepithelial carcinoma: Four case reports. World J Clin Cases 2022; 10:2938-2947. [PMID: 35434113 PMCID: PMC8968825 DOI: 10.12998/wjcc.v10.i9.2938] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/18/2021] [Accepted: 02/16/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Myoepithelial carcinoma (MC) is a rare malignant neoplasm that mainly occurs in the salivary gland. MC can be confused with many other tumors when arising outside the salivary glands because it presents with a wide spectrum of cytomorphological and immunohistochemical features. To the best of our knowledge, esophageal MC has not been previously reported. The purpose of this study was to describe the imaging and clinicopathological features of esophageal MC to improve the understanding of the disease.
CASE SUMMARY Three men and one woman diagnosed with esophageal MC were enrolled in this study. The primary clinical symptom was dysphagia. The mass was mainly located in the middle esophagus. Laboratory tests revealed that two patients who underwent tumor abnormal protein were positive. Radical resection was performed for all patients with no adjuvant therapy. Hematoxylin-eosin staining showed infiltrative growth of epithelial cells with hyperchromatic and pleomorphic nuclei toward the periphery. Immunohistochemistry showed that all patients were positive for P63, and most patients were positive for SOX-10, AE1/AE3, P40, and calponin. The Ki-67 values were all higher than 60%. Patient one died one month after discharge from an unknown cause. Patient two lost to follow-up. At patient three’s four-month review, enhanced computed tomography (CT) showed anastomosis recurrence and bilateral lung metastases. He abandoned treatment and lost to follow-up. Patient four attended review appointments regularly and remained in a good general condition.
CONCLUSION Here, we present the first report of esophageal MC and review the relevant literature. Esophageal MC is more likely to occur in the middle esophagus in older patients with male dominance. A fungating type observed on CT scanning may help narrow down the differential diagnosis. Cystic change or necrosis may occur in larger lesions. The final diagnosis should be made according to the pathological examination. The treatment for MC is surgical resection, and the efficacy of chemotherapy needs to be determined with future studies.
Collapse
Affiliation(s)
- Hao Lu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Hui-Ping Zhao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Yi-Yang Liu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Juan Yu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Rui Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Jian-Bo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| |
Collapse
|
|
25
|
Lu H, Zhao HP, Liu YY, Yu J, Wang R, Gao JB. Esophageal myoepithelial carcinoma: Four case reports. World J Clin Cases 2022; 10:2936-2945. [DOI: 10.12998/wjcc.v10.i9.2936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Myoepithelial carcinoma (MC) is a rare malignant neoplasm that mainly occurs in the salivary gland. MC can be confused with many other tumors when arising outside the salivary glands because it presents with a wide spectrum of cytomorphological and immunohistochemical features. To the best of our knowledge, esophageal MC has not been previously reported. The purpose of this study was to describe the imaging and clinicopathological features of esophageal MC to improve the understanding of the disease.
CASE SUMMARY Three men and one woman diagnosed with esophageal MC were enrolled in this study. The primary clinical symptom was dysphagia. The mass was mainly located in the middle esophagus. Laboratory tests revealed that two patients who underwent tumor abnormal protein were positive. Radical resection was performed for all patients with no adjuvant therapy. Hematoxylin-eosin staining showed infiltrative growth of epithelial cells with hyperchromatic and pleomorphic nuclei toward the periphery. Immunohistochemistry showed that all patients were positive for P63, and most patients were positive for SOX-10, AE1/AE3, P40, and calponin. The Ki-67 values were all higher than 60%. Patient one died one month after discharge from an unknown cause. Patient two lost to follow-up. At patient three’s four-month review, enhanced computed tomography (CT) showed anastomosis recurrence and bilateral lung metastases. He abandoned treatment and lost to follow-up. Patient four attended review appointments regularly and remained in a good general condition.
CONCLUSION Here, we present the first report of esophageal MC and review the relevant literature. Esophageal MC is more likely to occur in the middle esophagus in older patients with male dominance. A fungating type observed on CT scanning may help narrow down the differential diagnosis. Cystic change or necrosis may occur in larger lesions. The final diagnosis should be made according to the pathological examination. The treatment for MC is surgical resection, and the efficacy of chemotherapy needs to be determined with future studies.
Collapse
Affiliation(s)
- Hao Lu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Hui-Ping Zhao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Yi-Yang Liu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Juan Yu
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Rui Wang
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| | - Jian-Bo Gao
- Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, Henan Province, China
| |
Collapse
|
|
26
|
Schröder W, Gisbertz SS, Voeten DM, Gutschow CA, Fuchs HF, van Berge Henegouwen MI. Surgical Therapy of Esophageal Adenocarcinoma-Current Standards and Future Perspectives. Cancers (Basel) 2021; 13:5834. [PMID: 34830988 PMCID: PMC8616112 DOI: 10.3390/cancers13225834] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2021] [Revised: 11/15/2021] [Accepted: 11/18/2021] [Indexed: 12/18/2022] Open
Abstract
Transthoracic esophagectomy is currently the predominant curative treatment option for resectable esophageal adenocarcinoma. The majority of carcinomas present as locally advanced tumors requiring multimodal strategies with either neoadjuvant chemoradiotherapy or perioperative chemotherapy alone. Minimally invasive, including robotic, techniques are increasingly applied with a broad spectrum of technical variations existing for the oncological resection as well as gastric reconstruction. At the present, intrathoracic esophagogastrostomy is the preferred technique of reconstruction (Ivor Lewis esophagectomy). With standardized surgical procedures, a complete resection of the primary tumor can be achieved in almost 95% of patients. Even in expert centers, postoperative morbidity remains high, with an overall complication rate of 50-60%, whereas 30- and 90-day mortality are reported to be <2% and <6%, respectively. Due to the complexity of transthoracic esophagetomy and its associated morbidity, esophageal surgery is recommended to be performed in specialized centers with an appropriate caseload yet to be defined. In order to reduce postoperative morbidity, the selection of patients, preoperative rehabilitation and postoperative fast-track concepts are feasible strategies of perioperative management. Future directives aim to further centralize esophageal services, to individualize surgical treatment for high-risk patients and to implement intraoperative imaging modalities modifying the oncological extent of resection and facilitating surgical reconstruction.
Collapse
Affiliation(s)
- Wolfgang Schröder
- Department of General, Visceral, Cancer and Transplantation Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany;
| | - Suzanne S. Gisbertz
- Cancer Center Amsterdam, Department of Surgery, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (S.S.G.); (D.M.V.); (M.I.v.B.H.)
| | - Daan M. Voeten
- Cancer Center Amsterdam, Department of Surgery, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (S.S.G.); (D.M.V.); (M.I.v.B.H.)
| | - Christian A. Gutschow
- Department of General and Transplantation Surgery, University Hospital Zurich, 8091 Zurich, Switzerland;
| | - Hans F. Fuchs
- Department of General, Visceral, Cancer and Transplantation Surgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, 50937 Cologne, Germany;
| | - Mark I. van Berge Henegouwen
- Cancer Center Amsterdam, Department of Surgery, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; (S.S.G.); (D.M.V.); (M.I.v.B.H.)
| |
Collapse
|
|
27
|
Li N, Jin SZ. Artificial intelligence and early esophageal cancer. Artif Intell Gastrointest Endosc 2021; 2:198-210. [DOI: 10.37126/aige.v2.i5.198] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/23/2021] [Accepted: 10/27/2021] [Indexed: 02/06/2023] Open
Abstract
The development of esophageal cancer (EC) from early to advanced stage results in a high mortality rate and poor prognosis. Advanced EC not only poses a serious threat to the life and health of patients but also places a heavy economic burden on their families and society. Endoscopy is of great value for the diagnosis of EC, especially in the screening of Barrett’s esophagus and early EC. However, at present, endoscopy has a low diagnostic rate for early tumors. In recent years, artificial intelligence (AI) has made remarkable progress in the diagnosis of digestive system tumors, providing a new model for clinicians to diagnose and treat these tumors. In this review, we aim to provide a comprehensive overview of how AI can help doctors diagnose early EC and precancerous lesions and make clinical decisions based on the predicted results. We analyze and summarize the recent research on AI and early EC. We find that based on deep learning (DL) and convolutional neural network methods, the current computer-aided diagnosis system has gradually developed from in vitro image analysis to real-time detection and diagnosis. Based on powerful computing and DL capabilities, the diagnostic accuracy of AI is close to or better than that of endoscopy specialists. We also analyze the shortcomings in the current AI research and corresponding improvement strategies. We believe that the application of AI-assisted endoscopy in the diagnosis of early EC and precancerous lesions will become possible after the further advancement of AI-related research.
Collapse
Affiliation(s)
- Ning Li
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China
| | - Shi-Zhu Jin
- Department of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, Harbin 150086, Heilongjiang Province, China
| |
Collapse
|