1
|
Wu J, Zheng H, Wang G, Qin F, Zheng Y, Chen J, Liu Z, Jian B, Qin X, Liao H. Primary tumor resection might improve outcomes in metastatic thoracic esophageal cancer. Sci Rep 2025; 15:3054. [PMID: 39856122 PMCID: PMC11760341 DOI: 10.1038/s41598-025-85419-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2024] [Accepted: 01/02/2025] [Indexed: 01/27/2025] Open
Abstract
The study aims to evaluate the survival impact of primary tumor resection (PTR) on thoracic esophageal cancer with distant metastasis(TECDM). Data of patients with TECDM was collected from the Surveillance, Epidemiology, and End Results database(SEER) from 2010 to 2020. A 1:1 propensity-score matching(PSM) analysis was employed to minimize heterogeneity between the groups. Total 7733 patients with TECDM were included in the analysis, of which 121 underwent primary tumor resection and 7612 did not. Patients who underwent primary tumor resection exhibited better median overall survival(OS) and median cancer-specific survival(CSS) compared to those who did not, in both the overall and PSM cohort. In the PSM cohort, the median OS was 11 months (95% CI, 9 to 13 months) for TECDM patients who underwent PTR, compared to 7 months (95% CI, 5 to 9 months) for those who did not. Furthermore, Cox proportional hazards models indicated that PTR was a significantly protective factor for TECDM patients in OS (HR: 0.5529; 95% CI, 0.5196 to 0.7730, P < 0.001) and CSS (HR:0.5869 ; 95% CI, 0.479 to 0.7192, P < 0.001). In conclusion, primary tumor resection is associated with improved overall survival and cancer-specific survival in thoracic esophageal cancer patients with distant metastasis.
Collapse
Affiliation(s)
- Jiayan Wu
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Haosheng Zheng
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Gengfeng Wang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510655, China
| | - Fei Qin
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Yuzhen Zheng
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Junguo Chen
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Zui Liu
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Bozhu Jian
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China
| | - Xianyu Qin
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China.
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
| | - Hongying Liao
- Department of Thoracic Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, No.26 ErHeng Road, Guangzhou, 510655, China.
- Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510655, China.
| |
Collapse
|
2
|
Wang X, Fan B, Liu S. Comprehensive treatment focusing on transarterial chemoembolization for postoperative liver metastasis in gastric cancer patients. Am J Transl Res 2024; 16:7330-7342. [PMID: 39822559 PMCID: PMC11733346 DOI: 10.62347/kwbt3893] [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: 09/13/2024] [Accepted: 11/11/2024] [Indexed: 01/19/2025]
Abstract
OBJECTIVE To investigate the clinical efficacy of comprehensive treatment focusing on transarterial chemoembolization (TACE) for postoperative liver metastasis in patients with gastric cancer and analyze the factors influencing prognosis. METHODS A retrospective study was conducted on 116 patients who developed liver metastasis after gastric cancer surgery and were admitted to Gansu Provincial Cancer Hospital between January 2018 and February 2020. The observation group, consisting of 62 patients, received TACE with fluorouracil (FU) + irinotecan (CPT-11) + oxaliplatin (OXA) and moderate lipiodol embolization. The control group, consisting of 54 patients, received systemic S-1 and Oxaliplatin regimen (SOX) alone. The clinical efficacy and incidence of adverse reactions were compared between the two groups. Liver function indicators, tumor markers, and immunoglobulin changes were analyzed in both groups. The 2-year survival rate of patients was analyzed using the Kaplan-Meier (K-M) curve. Lasso-Cox regression was used to identify independent prognostic factors affecting the 2-year survival rate. A Nomogram model was constructed to predict outcomes. RESULTS The overall clinical efficacy (P = 0.001) and objective response rate (ORR) (P = 0.001) were significantly lower in the control group compared to the observation group. No significant differences were found in ALT and AST changes between the two groups (P > 0.05). Post-treatment, CEA and CA19-9 levels were significantly lower, and IgG and IgM levels were significantly higher in the observation group (P < 0.001). There was no significant difference in the incidence of adverse reactions (P > 0.05). Lasso-Cox regression identified treatment plan, pathological differentiation, degree of liver metastasis, and pre-treatment CEA as independent prognostic factors for 2-year survival. Based on these, a Nomogram model was constructed. In the training group, the model had AUC values over 0.8 for 1- and 2-year survival rates, and in the validation group, the AUC was 0.765 and 0.687, respectively, indicating good predictive performance. CONCLUSION Compared to the conventional SOX regimen, comprehensive treatment focusing on TACE embolization for postoperative liver metastasis in gastric cancer is more effective and can improve survival rates.
Collapse
Affiliation(s)
- Xingdong Wang
- Department of Interventional Therapy, Gansu Provincial Cancer HospitalNo. 2 Xiaoxihu East Street, Qilihe District, Lanzhou 730050, Gansu, China
| | - Bin Fan
- Drug Research Institute, Gansu Province Academic Institute For Medical ResearchNo. 2 Xiaoxihu East Street, Qilihe District, Lanzhou 730050, Gansu, China
| | - Shuwen Liu
- Department of Gastric Tumor Surgery, Gansu Provincial Cancer HospitalNo. 2 Xiaoxihu East Street, Qilihe District, Lanzhou 730050, Gansu, China
| |
Collapse
|
3
|
He J, Wang L, Tuo C, Gong W, Liu Y. Successful conversion surgery after comprehensive therapy in a patient with MSI-H but pMMR metastatic gastric mixed adenoneuroendocrine carcinoma: a case report and literature review. Front Oncol 2024; 14:1463884. [PMID: 39723386 PMCID: PMC11668672 DOI: 10.3389/fonc.2024.1463884] [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: 08/08/2024] [Accepted: 11/25/2024] [Indexed: 12/28/2024] Open
Abstract
Gastric mixed adenoneuroendocrine carcinoma (MANEC) is a rare and highly aggressive malignancy characterized by both exocrine and neuroendocrine components. Treatment options for metastatic cases are limited, with typical therapeutic approaches involving a combination of chemotherapy and immunotherapy. A 68-year-old male with metastatic gastric MANEC was treated with targeted therapy, immunotherapy, and chemotherapy, including S-1, apatinib, cadonilimab, and paclitaxel. After six cycles, the liver metastases resolved completely, and the primary tumor achieved partial remission, leading to conversion surgery. The patient underwent a radical D2 gastrectomy with R0 resection, including proximal gastrectomy, splenectomy, omentectomy, and esophagogastric anastomosis, along with radiofrequency ablation of liver metastases. Postoperative pathology confirmed the disappearance of liver metastases but revealed residual adenocarcinoma in the primary gastric lesion and neuroendocrine components in the perigastric lymph nodes. The patient was discharged seven days post-surgery. Five months postoperatively, new liver metastases were detected, exhibiting neuroendocrine differentiation. The patient was subsequently treated with a maintenance regimen of S-1 and pembrolizumab. This case highlights the significant heterogeneity of gastric MANEC and the challenges in managing such cases. While conversion surgery can be effective in certain contexts, the high likelihood of postoperative recurrence and metastasis, particularly in neuroendocrine components, necessitates cautious consideration. Further research is needed to evaluate the long-term benefits of conversion surgery in metastatic gastric MANEC and to develop tailored therapeutic strategies.
Collapse
Affiliation(s)
- Jun He
- Department of Surgery, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - Li Wang
- Department of Emergency Medicine, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - Chuanlei Tuo
- Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| | - Weihua Gong
- Department of Surgery, Second Affiliated Hospital of School of Medicine, Zhejiang University, Hangzhou, China
| | - Yong Liu
- Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Prevention and Therapy, Tianjin, China
- Tianjin’s Clinical Research Center for Cancer, Tianjin, China
| |
Collapse
|
4
|
Su R, Sun X, Chen S, Deng G, Yin S, He Y, Hao T, Gu L, Zhang C. Development and validation of a nomogram to predict the survival and estimate surgical benefits for gastric cancer with liver metastasis receiving primary tumor resection. Front Oncol 2024; 14:1418548. [PMID: 39582532 PMCID: PMC11581971 DOI: 10.3389/fonc.2024.1418548] [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: 04/16/2024] [Accepted: 10/14/2024] [Indexed: 11/26/2024] Open
Abstract
Background Surgical treatment has been widely controversial for gastric cancer accompanied by liver metastasis (GCLM). This paper aims to develop and validate a nomogram to predict the survival and estimate surgical benefits for GCLM patients. Methods A total of 616 GCLM patients from the Surveillance, Epidemiology, and End Results Program (SEER) database and 74 GCLM patients receiving primary tumor resection (PTR) from the Chinese center were included in this study. Patients from the SEER database were divided into training set (with PTR) (n=493) and non-operative set (without PTR) (n=123). Patients undergoing PTR from China were included as external validation set. Independent risk factors associated with the overall survival of GCLM patients undergoing PTR were identified in the training set via log-rank test and Cox regression analysis. Afterwards, a comprehensive model and corresponding nomogram were constructed and validated by validation set. Results The survival of patients undergoing PTR (n=493) was longer than that without PTR (n=123) (log-rank test, p<0.0001) in SEER cohort. T stage (HR=1.40, 95% CI=1.14, 1.73), differentiation grade (HR=1.47, 95% CI=1.17, 1.85), non-hepatic metastases (HR=1.69, 95% CI=1.29, 2.21), and adjuvant therapy (HR=0.34, 95% CI= 0.28, 0.42) were closely related with the survival of GCLM with PTR, and thus, a four-factor nomogram was established. However, GCLM patients receiving PTR in the high-risk subgroup (n=255) screened out by the nomogram did not have better survival outcomes compared with patients without PTR (n=123) (log-rank test, p=0.25). Conclusions The nomogram could predict survival of GCLM patients receiving PTR with acceptable accuracy. In addition, although PTR did improve the survival of whole GCLM patients, patients in the high-risk subgroup were unable to benefit from PTR, which could assist clinicians to make decisions for the treatment of GCLM.
Collapse
Affiliation(s)
- Rishun Su
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Xuezeng Sun
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Songyao Chen
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Guofei Deng
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Songcheng Yin
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Yulong He
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Tengfei Hao
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Liang Gu
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Changhua Zhang
- Digestive Diseases Center, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| |
Collapse
|
5
|
Meng N, Niu X, Wu J, Wu H, Li T, Yang J, Ding P, Guo H, Tian Y, Yang P, Zhang Z, Wang D, Zhao Q. Development and validation of nomogram models for predicting overall survival and cancer-specific survival in gastric cancer patients with liver metastases: a cohort study based on the SEER database. Am J Cancer Res 2024; 14:2272-2286. [PMID: 38859846 PMCID: PMC11162657 DOI: 10.62347/zppk5664] [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: 04/09/2024] [Accepted: 05/04/2024] [Indexed: 06/12/2024] Open
Abstract
OBJECTIVE To establish nomogram models for predicting the overall survival (OS) and cancer-specific survival (CSS) of gastric cancer liver metastasis (GCLM) patients. METHODS Data from the Surveillance, Epidemiology, and End Results (SEER) database for 5,451 GCLM patients diagnosed between 2010 and 2015 were analyzed. The cohort was divided into a training set (3,815 cases) and an internal validation set (1,636 cases). External validation included 193 patients from the Fourth Hospital of Hebei Medical University and 171 patients from the People's Hospital of Shijiazhuang City, spanning 2016-2018. Multivariable Cox regression analysis identified eight independent prognostic factors for OS and CSS in GCLM patients, including age, histological type, grade, tumor size, surgery, chemotherapy, bone metastasis, and lung metastasis. Two nomogram models were developed based on these factors and evaluated using time-dependent receiver operating characteristic curve analysis, calibration curves, and decision curve analysis. RESULTS Internal validation showed that the nomogram models outperformed the American Joint Committee on Cancer (AJCC) tumor-node-metastasis (TNM) staging system in predicting 1-year, 2-year, and 3-year OS and CSS in GCLM patients (1-year OS: 0.801 vs. 0.593, P < 0.001; 1-year CSS: 0.807 vs. 0.598, P < 0.001; 2-year OS: 0.803 vs. 0.630, P < 0.001; 2-year CSS: 0.802 vs. 0.633, P < 0.001; 3-year OS: 0.824 vs. 0.691, P < 0.001; 3-year CSS: 0.839 vs. 0.692, P < 0.001). CONCLUSION This study developed and validated nomogram models using SEER database data to predict OS and CSS in GCLM patients. These models offer improved prognostic accuracy over traditional staging systems, aiding in clinical decision-making.
Collapse
Affiliation(s)
- Ning Meng
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
- Department of General Surgery, Shijiazhuang People’s HospitalShijiazhuang 050050, Hebei, China
| | - Xiaoman Niu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Jiaxiang Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Haotian Wu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Tongkun Li
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Jiaxuan Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Ping’an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Zhidong Zhang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Dong Wang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric CancerShijiazhuang 050011, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research CenterShijiazhuang 050011, Hebei, China
| |
Collapse
|
6
|
An W, Bao L, Wang C, Zheng M, Zhao Y. Analysis of Related Risk Factors and Prognostic Factors of Gastric Cancer with Liver Metastasis: A SEER and External Validation Based Study. Int J Gen Med 2023; 16:5969-5978. [PMID: 38144441 PMCID: PMC10748731 DOI: 10.2147/ijgm.s434952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/12/2023] [Indexed: 12/26/2023] Open
Abstract
Background Gastric cancer (GC) has a poor prognosis, particularly in patients with liver metastasis (LM). This study aims to identify relevant factors associated with the occurrence of LM in GC patients and factors influencing the prognosis of gastric cancer with liver metastasis (GCLM) patients, in addition to developing diagnostic and prognostic nomograms specifically. Patients and Methods Overall, 6184 training data were from the Surveillance, Epidemiology, and End Results (SEER) database from 2011 to 2015. 1527 validation data were from our hospital between January 2018 and December 2022. Logistic regression was used to identify the risk factors associated with the occurrence of LM in GC patients, Cox regression was used to confirm the prognostic factors of GCLM patients. Two nomogram models were established to predict the risk and overall survival (OS) of patients with GCLM. The performance of the two models was evaluated using the area under the curve (AUC), concordance index (C-index), and calibration curves. Results A nomogram included five independent factors from multivariate logistic regression: sex, lymph node removal, chemotherapy, T stage and N stage were constructed to calculate the possibility of LM. Internal and external verifications of AUC were 0.786 and 0.885, respectively. The other nomogram included four independent factors from multivariate Cox regression: surgery at primary site, surgery at other site, chemotherapy, and N stage were constructed to predict OS. C-index for internal and external validations were 0.714 and 0.702, respectively, and the calibration curves demonstrated the robust discriminative ability of the models. Conclusion Based on the SEER database and validation data, we defined effective nomogram models to predict risk and OS in patients with GCLM. They have important value in clinical decision-making and personalized treatment.
Collapse
Affiliation(s)
- Wenxiu An
- Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang City, Liaoning Province, People’s Republic of China
- Liaoning Provincial Key Laboratory of Interdisciplinary Research on Gastrointestinal Tumor Combining Medicine with Engineering, Shenyang City, Liaoning Province, People’s Republic of China
| | - Lijie Bao
- Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang City, Liaoning Province, People’s Republic of China
- Liaoning Provincial Key Laboratory of Interdisciplinary Research on Gastrointestinal Tumor Combining Medicine with Engineering, Shenyang City, Liaoning Province, People’s Republic of China
| | - Chenyu Wang
- Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang City, Liaoning Province, People’s Republic of China
- Liaoning Provincial Key Laboratory of Interdisciplinary Research on Gastrointestinal Tumor Combining Medicine with Engineering, Shenyang City, Liaoning Province, People’s Republic of China
| | - Mingxin Zheng
- Neusoft Research of Intelligent Healthcare Technology, Co. Ltd, Shenyang City, Liaoning Province, People’s Republic of China
| | - Yan Zhao
- Cancer Hospital of Dalian University of Technology (Liaoning Cancer Hospital & Institute), Shenyang City, Liaoning Province, People’s Republic of China
- Liaoning Provincial Key Laboratory of Interdisciplinary Research on Gastrointestinal Tumor Combining Medicine with Engineering, Shenyang City, Liaoning Province, People’s Republic of China
| |
Collapse
|
7
|
Marano L. Dual primary gastric and colorectal cancer: A complex challenge in surgical oncology. World J Gastrointest Oncol 2023; 15:2049-2052. [PMID: 38173432 PMCID: PMC10758648 DOI: 10.4251/wjgo.v15.i12.2049] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 11/01/2023] [Accepted: 11/17/2023] [Indexed: 12/14/2023] Open
Abstract
The intricate interplay of colorectal cancer (CRC) and gastric cancer (GC) as dual primary malignancies presents a significant challenge in surgical oncology. CRC is the most common secondary malignancy in GC patients, and vice versa, evidence highlighted by advances in diagnostic procedures and therapy modalities that impact patient survival. A recent study titled "Features of synchronous and metachronous dual primary gastric and colorectal cancer" explores this enigmatic dual malignancy, uncovering crucial insights into the clinical characteristics and prognostic distinctions between synchronous and metachronous presentations. Notably, metachronous cases with a second primary cancer discovered more than six months after the first diagnosis have a better outcome, emphasizing the importance of early detection and treatment. This study underscores the prognostic role of GC stage in patient outcomes. It also sheds light on the complexities faced by synchronous cases, often presenting with unresectable CRC. Surgery-related procedures, like gastrectomy and colon resection, stand out as important predictors of increased survival, necessitating a reevaluation of current therapeutic approaches. A tailored and patient-centered strategy, considering the health of each patient individually and the feasibility of radical treatments, is essential. Continuous follow-up and monitoring are crucial as most second primary cancers arise within five years. In conclusion, early diagnosis, surgical intervention, and watchful surveillance are pivotal in managing dual primary gastric and colorectal cancer patients. Since the incidence of gastric and colorectal cancers continues to rise, the imperative need for further research, ideally with larger sample sizes, becomes evident in our pursuit of comprehensive insights that will refine clinical approaches for this intricate dual malignancy.
Collapse
Affiliation(s)
- Luigi Marano
- Medical Department, Academy of Applied Medical and Social Sciences - Akademia Medycznych i Społecznych Nauk Stosowanych, Elbląg 82-300, Poland
| |
Collapse
|
8
|
Huang N, He HW, He YY, Gu W, Xu MJ, Liu L. Xiaotan Sanjie recipe, a compound Chinese herbal medicine, inhibits gastric cancer metastasis by regulating GnT-V-mediated E-cadherin glycosylation. JOURNAL OF INTEGRATIVE MEDICINE 2023; 21:561-574. [PMID: 37980180 DOI: 10.1016/j.joim.2023.11.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 05/02/2023] [Indexed: 11/20/2023]
Abstract
OBJECTIVE Xiaotan Sanjie recipe (XTSJ), a Chinese herbal compound medicine, exerts a significant inhibitory effect on gastric cancer (GC) metastasis. This work investigated the mechanism underlying the XTSJ-mediated inhibition of GC metastasis. METHODS The effect of XTSJ on GC metastasis and the associated mechanism were investigated in vitro, using GC cell lines, and in vivo, using a GC mouse model, by focusing on the expression of Glc-N-Ac-transferase V (GnT-V; encoded by MGAT5). RESULTS The migration and invasion ability of GC cells decreased significantly after XTSJ administration, which confirmed the efficacy of XTSJ in treating GC in vitro. XTSJ increased the accumulation of E-cadherin at junctions between GC cells, which was reversed by MGAT5 overexpression. XTSJ administration and MGAT5 knockdown alleviated the structural abnormality of the cell-cell junctions, while MGAT5 overexpression had the opposite effect. MGAT5 knockdown and XTSJ treatment also significantly increased the accumulation of proteins associated with the E-cadherin-mediated adherens junction complex. Furthermore, the expression of MGAT5 was significantly lower in the lungs of BGC-823-MGAT5 + XTSJ mice than in those of BGC-823-MGAT5 + solvent mice, indicating that the ability of gastric tumors to metastasize to the lung was decreased in vivo following XTSJ treatment. CONCLUSION XTSJ prevented GC metastasis by inhibiting the GnT-V-mediated E-cadherin glycosylation and promoting the E-cadherin accumulation at cell-cell junctions. Please cite this article as: Huang N, He HW, He YY, Gu W, Xu MJ, Liu L. Xiaotan Sanjie recipe, a compound Chinese herbal medicine, inhibits gastric cancer metastasis by regulating GnT-V-mediated E-cadherin glycosylation. J Integr Med. 2023; 21(6): 561-574.
Collapse
Affiliation(s)
- Nian Huang
- Department of Integrative Medicine, Eastern Hepatobiliary Surgery Hospital, Naval Medical University, Shanghai 200433, China
| | - Hai-Wei He
- Department of Obstetrics and Gynecology, Changhai Hospital, Naval Medical University, Shanghai 200433, China
| | - Yu-Yu He
- School of Traditional Chinese Medicine, Naval Medical University, Shanghai 200433, China
| | - Wei Gu
- School of Traditional Chinese Medicine, Naval Medical University, Shanghai 200433, China
| | - Ming-Juan Xu
- Department of Obstetrics and Gynecology, Changhai Hospital, Naval Medical University, Shanghai 200433, China.
| | - Long Liu
- Department of Traditional Chinese Medicine, Tianyou Hospital, Tongji University, Shanghai 200333, China.
| |
Collapse
|