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Chen S, Ding P, Zhao Q. Comparison of the predictive performance of three lymph node staging systems for late-onset gastric cancer patients after surgery. Front Surg 2024; 11:1376702. [PMID: 38919979 PMCID: PMC11196640 DOI: 10.3389/fsurg.2024.1376702] [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: 01/26/2024] [Accepted: 05/27/2024] [Indexed: 06/27/2024] Open
Abstract
Introduction Lymph node (LN) status is a vital prognostic factor for patients. However, there has been limited focus on predicting the prognosis of patients with late-onset gastric cancer (LOGC). This study aimed to investigate the predictive potential of the log odds of positive lymph nodes (LODDS), lymph node ratio (LNR), and pN stage in assessing the prognosis of patients diagnosed with LOGC. Methods The LOGC data were obtained from the Surveillance, Epidemiology, and End Results database. This study evaluated and compared the predictive performance of three LN staging systems. Univariate and multivariate Cox regression analyses were carried out to identify prognostic factors for overall survival (OS). Three machine learning methods, namely, LASSO, XGBoost, and RF analyses, were subsequently used to identify the optimal LN staging system. A nomogram was built to predict the prognosis of patients with LOGC. The efficacy of the model was demonstrated through receiver operating characteristic (ROC) curve analysis and decision curve analysis. Results A total of 4,743 patients with >16 removed lymph nodes were ultimately included in this investigation. Three LN staging systems demonstrated significant performance in predicting survival outcomes (P < 0.001). The LNR exhibited the most important prognostic ability, as evidenced by the use of three machine learning methods. Utilizing independent factors derived from multivariate Cox regression analysis, a nomogram for OS was constructed. Discussion The calibration, C-index, and AUC revealed their excellent predictive performance. The LNR demonstrated a more powerful performance than other LN staging methods in LOGC patients after surgery. Our novel nomogram exhibited superior clinical feasibility and may assist in patient clinical decision-making.
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Affiliation(s)
- Sheng Chen
- Affiliated Hospital of Hebei University, Baoding, Hebei, China
| | - Ping’an Ding
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, Hebei, China
| | - Qun Zhao
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, Hebei, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, Hebei, China
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2
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Bollschweiler E, Hölscher AH, Markar SR, Alakus H, Drebber U, Mönig SP, Plum PS. Premature mortality for patients after completely resected early adenocarcinoma of the esophagus or stomach. Cancer Med 2024; 13:e7223. [PMID: 38778711 PMCID: PMC11112294 DOI: 10.1002/cam4.7223] [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: 11/23/2023] [Revised: 02/14/2024] [Accepted: 04/14/2024] [Indexed: 05/25/2024] Open
Abstract
OBJECTIVE To establish the life expectancy burden of esophago-gastric cancer by analyzing years of life lost (YLL) for a Western patient population after treatment of early esophageal (EAC) or early gastric (GAC) adenocarcinoma. BACKGROUND For patients with early EAC or GAC, the short-term prognosis after surgical resection is very good. Little data is available regarding long-term prognosis when compared to the general population. METHODS Two hundred and fourteen patients with pT1 EAC (n = 112) or GAC (n = 102) were included in the study. Patients with EAC underwent transthoracic en-bloc esophagectomy; those with GAC had total or subtotal gastrectomy with D2-lymphadenectomy. Surviving patients had a median follow-up of approximately 14 years. YLL was calculated using average life expectancy data from Germany. RESULTS Patients with EAC were younger (median age 61 years) than those with GAC (66 years) (p = 0.031). The male:female ratio was 10:1 for EAC and 3:2 for GAC (p < 0.001). Multivariate survival analysis showed the age of the patients ≥60 years and the existence of lymph node metastasis was associated with poor prognosis. The median YLL for all patients who died over follow-up was 8.0 years. For patients under 60 years, it was approximately 20 years, and for older patients, approximately 5 years (p < 0.001) without difference in tumor stage between these age cohorts. YLL did not differ for GAC vs. EAC. CONCLUSION After surgical resection, the prognostic burden as measured by YLL is relevant for all patients with early esophageal and gastric adenocarcinomas and especially for younger patients. Reasons for YLL need further studies.
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Affiliation(s)
| | | | - Sheraz R. Markar
- Surgical Interventional Trials Unit, Nuffield Department of SurgeryUniversity of OxfordOxfordUK
| | - Hakan Alakus
- Department of General, Visceral and Cancer SurgeryUniversity of CologneCologneGermany
| | - Uta Drebber
- Institute of Pathology, University of CologneCologneGermany
| | - Stefan Paul Mönig
- Department of Visceral SurgeryGeneva University HospitalsGenevaSwitzerland
| | - Patrick Sven Plum
- Department of Visceral, Transplantation, Thoracic and Vascular SurgeryUniversity Hospital of LeipzigLeipzigGermany
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Wang X, Niu X, Zhang F, Wu J, Wu H, Li T, Yang J, Ding P, Guo H, Tian Y, Yang P, Zhang Z, Wang D, Zhao Q. Nomogram models for predicting overall and cancer-specific survival in early-onset gastric cancer patients: a population-based cohort study. Am J Cancer Res 2024; 14:1747-1767. [PMID: 38726268 PMCID: PMC11076259 DOI: 10.62347/fprm7701] [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: 02/04/2024] [Accepted: 04/03/2024] [Indexed: 05/12/2024] Open
Abstract
To develop nomogram models for predicting the overall survival (OS) and cancer-specific survival (CSS) of early-onset gastric cancer (EOGC) patients. A total of 1077 EOGC patients from the Surveillance, Epidemiology, and End Results (SEER) database were included, and an additional 512 EOGC patients were recruited from the Fourth Hospital of Hebei Medical University, serving as an external test set. Univariate and multivariate Cox regression analyses were performed to identify independent prognostic factors. Based on these factors, two nomogram models were established, and web-based calculators were developed. These models were validated using receiver operating characteristics (ROC) curve analysis, calibration curves, and decision curve analysis (DCA). Multivariate analysis identified gender, histological type, stage, N stage, tumor size, surgery, primary site, and lung metastasis as independent prognostic factors for OS and CSS in EOGC patients. Calibration curves and DCA curves demonstrated that the two constructed nomogram models exhibited good performance. These nomogram models demonstrated superior performance compared to the 7th edition of the AJCC tumor-node-metastasis (TNM) classification (internal validation set: 1-year OS: 0.831 vs 0.793, P = 0.072; 1-year CSS: 0.842 vs 0.816, P = 0.190; 3-year OS: 0.892 vs 0.857, P = 0.039; 3-year CSS: 0.887 vs 0.848, P = 0.018; 5-year OS: 0.906 vs 0.880, P = 0.133; 5-year CSS: 0.900 vs 0.876, P = 0.109). In conclusion, this study developed two nomogram models: one for predicting OS and the other for CSS of EOGC patients, offering valuable assistance to clinicians.
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Affiliation(s)
- Xiaoyan Wang
- 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
- Medical Oncology, Shijiazhuang People’s HospitalShijiazhuang 050050, Hebei, China
| | - Xiaoman Niu
- 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
| | - Fengbin Zhang
- 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
- Department of Gastroenterology, The Fourth Hospital of Hebei Medical UniversityShijiazhuang 050011, Hebei, China
| | - Jiaxiang Wu
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- 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
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Imai S, Aoki N, Ikegami K, Kizaki H, Hori S. A Survey of the Status of Methadone Switching in Japan Using a Hospital-Based Administrative Claims Database. J Clin Pharmacol 2024; 64:189-195. [PMID: 37737471 DOI: 10.1002/jcph.2351] [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: 07/18/2023] [Accepted: 09/14/2023] [Indexed: 09/23/2023]
Abstract
Methadone is generally used for the management of cancer pain in patients who cannot obtain adequate analgesia from other strong opioids; however, it has a complicated and inconsistent conversion ratio from pre-switching opioid dosage to methadone. This issue may be pronounced in Japan because only oral tablets are commercially available. We aimed to elucidate the status of methadone switching in Japan, focusing on its dosage. Using a Japanese hospital-based administrative claims database, we included patients who switched to methadone between April 2008 and January 2021. The proportion of methadone switching completion that required more than the defined conversion ratio in the Japanese package insert (called "high-dose methadone switching") was evaluated as a primary endpoint. Other endpoints included "the duration from initiation to completion of methadone switching" and "factors affecting high-dose methadone switching by using multivariate logistic regression analysis". Of 1585 patients who received methadone, 370 were enrolled. Among those, 130 (35.1%) received high-dose methadone switching. The median duration of methadone switching completion (12 days) was longer in the high-dose methadone switching group than in other patients. Four variables were identified as factors affecting high-dose methadone switching. Younger age and outpatient status increased the risk of requiring high-dose methadone switching, whereas the concomitant use of nonsteroidal anti-inflammatory drugs and fentanyl as a pre-switching opioid decreased the risk. In conclusion, more than 30% of the patients underwent high-dose methadone switching and required long completion periods, suggesting that methadone switching remains challenging in Japan.
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Affiliation(s)
- Shungo Imai
- Division of Drug Informatics, Keio University Faculty of Pharmacy, Minato-ku, Tokyo, Japan
| | - Natsumi Aoki
- Division of Drug Informatics, Keio University Faculty of Pharmacy, Minato-ku, Tokyo, Japan
| | - Keisuke Ikegami
- Division of Drug Informatics, Keio University Faculty of Pharmacy, Minato-ku, Tokyo, Japan
| | - Hayato Kizaki
- Division of Drug Informatics, Keio University Faculty of Pharmacy, Minato-ku, Tokyo, Japan
| | - Satoko Hori
- Division of Drug Informatics, Keio University Faculty of Pharmacy, Minato-ku, Tokyo, Japan
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An H, Wang PY, Liu YC. Palliative Gastrectomy Improves the Survival of Patients with Metastatic Early-Onset Gastric Cancer: A Retrospective Cohort Study. Curr Oncol 2023; 30:7874-7890. [PMID: 37754487 PMCID: PMC10527682 DOI: 10.3390/curroncol30090572] [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: 07/26/2023] [Revised: 08/19/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
Background: Recent studies have found that patients with incurable gastric cancer might benefit from palliative gastrectomy, but the impact of palliative gastrectomy on metastatic early-onset gastric cancer (mEOGC) patients remains unclear. Methods: We analyzed mEOGC patients enrolled in the Surveillance, Epidemiology, and End Results registry from January 2004 to December 2018. Propensity score matching (PSM) analysis with 1:1 matching and the nearest-neighbor matching method were used to ensure well-balanced characteristics between the groups of patients with palliative gastrectomy and those without surgery. Kaplan-Meier survival analysis and Cox proportional hazards regression models were used to evaluate the overall survival (OS) and cause-specific survival (CSS) risk with corresponding 95% confidence intervals (CIs). Results: Of 3641 mEOGC patients, 442 (12.1%) received palliative gastrectomy. After PSM, 596 patients were included in the analysis, with 298 in each group. For the matched cohort, the median survival was 8 months, and the 5-year survival was 4.0%. The median OS of mEOGC patients undergoing palliative gastrectomy was significantly longer than that of patients without surgery (13 months vs. 6 months, p < 0.001), and palliative gastrectomy remained an independent protective factor after adjusting for confounders (HR 0.459, 95% CI 0.382-0.552, p < 0.001), and the protective effect was robust in the subgroup analysis. Similar results were indicated in CSS. Stratified analyses by treatment modality also warranted the superiority of palliative-gastrectomy-based treatment in improving OS and CSS. Conclusions: mEOGC patients with palliative gastrectomy had a significantly longer survival time than patients without surgery. Exploratory analysis confirmed that surgery-based therapy modality was superior in improving survival time.
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Affiliation(s)
| | | | - Yu-Cun Liu
- Department of General Surgery, Peking University First Hospital, Beijing 100034, China
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6
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Chu H, Chen X, Liu X, Deng C, Bi B, He Y, Huo M, Zhang C. Clinicopathological characteristics and prognosis of adolescents and young adults with gastric cancer after gastrectomy: a propensity score matching analysis. Front Oncol 2023; 13:1204400. [PMID: 37664047 PMCID: PMC10473466 DOI: 10.3389/fonc.2023.1204400] [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: 04/12/2023] [Accepted: 07/24/2023] [Indexed: 09/05/2023] Open
Abstract
Background Gastric cancer (GC) among adolescents and young adults (AYAs, aged 15-39 years) has limited data on clinicopathological characteristics and prognosis. This study aimed to compare the clinicopathological characteristics, perioperative outcomes, and long-term outcomes of AYAs and older adults (OAs, aged > 39 years) with GC who underwent curative gastrectomy. Methods From January 1994 to June 2019, patients with GC undergoing curative gastrectomy were enrolled and divided into AYA group and OA group. The clinicopathological characteristics, treatment variables, perioperative outcomes and long-term outcomes were compared between the two groups, both before and after propensity score matching (PSM). Results AYAs had fewer comorbid conditions and were more likely to be females, have normal carcinoembryonic antigen (CEA) levels, poorly differentiated tumors with perineural invasion, and receive adjuvant chemotherapy. AYA patients had lower incidence of postoperative complications and shorter length of postoperative hospital stay than OA patients. No significant differences in postoperative 30-day or 90-day mortality were observed between AYAs and OAs, both before and after PSM. In the entire cohort, AYAs had similar median overall survival (OS) to OAs. However, in the PSM cohort, AYAs had significantly shorter median OS. Young age (15-39 years) was an independent risk factor for OS in GC patients following gastrectomy. Conclusion The clinicopathological characteristics were significantly different between AYA and OA patients with GC. AYA patients with GC had worse long-term prognosis than OA patients, and young age was an independent risk factor for OS in GC patients following gastrectomy.
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Affiliation(s)
- Hongwu Chu
- 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
| | - Xiaoyan Chen
- 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
| | - Xin Liu
- Qingdao Medical College, Qingdao University, Qingdao, China
| | - Cuncan Deng
- 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
| | - Bo Bi
- 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
| | - Yulong He
- 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
| | - Mingyu Huo
- 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
| | - Changhua Zhang
- 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
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Bi B, Deng GF, Duan YM, Huang ZJ, Chen XY, Zhang CH, He YL. Retrospective analysis of risk factors for distant metastasis of early-onset gastric cancer during the perioperative period. Front Oncol 2023; 13:1003977. [PMID: 36816974 PMCID: PMC9936415 DOI: 10.3389/fonc.2023.1003977] [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: 07/26/2022] [Accepted: 01/20/2023] [Indexed: 02/05/2023] Open
Abstract
Background Although the overall global incidence of gastric cancer has been declining, the number of new cases in people under the age of 50 is increasing, which is related to metastasis, late pathological stages, and poor prognosis. There is a scarcity of large-scale studies to evaluate and predict distant metastasis in patients with early-onset gastric cancer. Methods From January 2010 to December 2019, data on early-onset GC patients undergoing surgery were gathered from the Surveillance, Epidemiology, and End Results (SEER) database. We investigated the independent risk factors for distant metastasis in patients with early-onset gastric cancer. Based on these risk factors, we developed a nomogram to predict distant metastasis. The model underwent internal validation on the test set and external validation on 205 patients from the First Affiliated Hospital of Sun Yat-sen University and the seventh Affiliated Hospital of Sun Yat-sen University. The novel nomogram model was then evaluated using the receiver operating characteristic (ROC) curve, calibration, the area under the curve (AUC), and decision curve analysis (DCA). The training set nomogram score was used to classify the different risk clusters of distant metastasis. Results Our study enrolled 2217 patients after establishing the inclusion and exclusion criteria, with 1873 having no distant metastasis and 344 having distant metastasis. The tumor size, total lymph nodes, whether or not receiving radiotherapy and chemotherapy, T stage, and N stage were significant predictors of advanced distant metastasis (p < 0.05). The AUC of the ROC analysis demonstrated our model's high accuracy. Simultaneously, the prediction model shows high stability and clinical practicability in the calibration curve and DCA analysis. Conclusions We developed an innovative nomogram containing clinical and pathological characteristics to predict distant metastasis in patients younger than 50 years old with gastric cancer. The tool can alert clinicians about distant metastasis and help them develop more effective clinical treatment plans.
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Affiliation(s)
- Bo Bi
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Guo-fei Deng
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Yun-min Duan
- School of Nursing, Shandong First Medical University Shandong Academy of Medical Sciences, Jinan, Shandong, China
| | - Zhi-jian Huang
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Xiao-yan Chen
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China
| | - Chang-hua Zhang
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China,*Correspondence: Yu-long He, ; Chang-hua Zhang,
| | - Yu-long He
- Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China,Department of Gastrointestinal Surgery, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China,*Correspondence: Yu-long He, ; Chang-hua Zhang,
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Variation in Treatment Patterns of Patients with Early-Onset Gastric Cancer. Cancers (Basel) 2022; 14:cancers14153633. [PMID: 35892891 PMCID: PMC9332417 DOI: 10.3390/cancers14153633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2022] [Revised: 07/19/2022] [Accepted: 07/19/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Early-onset gastric cancer (EOGC), or gastric cancer in patients younger than 45 years old, is poorly understood and relatively uncommon. Similar to other gastrointestinal malignancies, the incidence of EOGC is rising in Western countries. It is unclear which populations experience a disproportionate burden of EOGC and what factors influence how patients with EOGC are treated. Methods: We conducted a retrospective, population-based study of patients diagnosed with gastric cancer from 2004 to 2018 using the National Cancer Database (NCDB). In addition to identifying unique demographic characteristics of patients with EOGC, we evaluated (using multivariable logistic regression controlling for year of diagnoses, primary site, and stage) how gender/sex, race/ethnicity, treatment facility type, payor status, and location of residence influenced the receipt of surgery, chemotherapy, and radiation. Results: Compared to patients 45−70 and >70 years of age with gastric cancer, patients with EOGC were more likely to be female, Asian/Pacific Islander (PI), African American (AA), Hispanic, uninsured, and present with stage IV disease. On multivariable analysis, several differences among subsets of patients with EOGC were identified. Female patients with EOGC were less likely to receive surgery and chemotherapy than male patients with EOGC. Asian/Pacific Islander patients with EOGC were more likely to receive chemotherapy and less likely to receive radiation than Caucasian patients with EOGC. African American patients were more likely to receive chemotherapy than Caucasian patients with EOGC. Hispanic patients were more likely to receive surgery and chemotherapy and less likely to receive radiation than Caucasian patients with EOGC. Patients with EOGC treated at community cancer centers were more likely to receive surgery and less likely to receive chemotherapy than patients with EOGC treated at academic centers. Uninsured patients with EOGC were more likely to receive surgery and less likely to receive chemotherapy than privately insured patients with EOGC. Patients with EOGC living in locations not adjacent to metropolitan areas were less likely to receive surgery compared to patients with EOGC who resided in metropolitan areas, Conclusions: Patients with EOGC are a demographically distinct population. Treatment of these patients varies significantly based on several demographic factors. Additional analysis is needed to elucidate why particular groups are more affected by EOGC and how treatment decisions are made for, and by, these patients.
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Qu X, Zhao X, Liu Y, Wang N, Zhang L, Zhu X, Dong Q, Liu J, Shi Y. The clinicopathological characteristics of early-onset gastric cancer and its evolutionary trends: a retrospective study. Am J Cancer Res 2022; 12:2757-2769. [PMID: 35812046 PMCID: PMC9251691] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 05/23/2022] [Indexed: 06/15/2023] Open
Abstract
Although gastric cancer (GC) is most common in the elderly population, the rate of early-onset gastric cancer (EOGC) is increasing each year. In this study, the clinicopathological information of 9,406 patients who underwent GC resection in our institution from 2000 to 2019 was collected. We compared the clinicopathological characteristics between the EOGC group, in which patients were younger than 40, and the control group, summarizing the evolutionary trends of the EOGC group's characteristics. Then, we focused on the characteristics of EOGC in different sex groups and the evolutionary trends of female EOGC patients' clinicopathological characteristics. The results showed that a greater proportion of the EOGC group was female (47.32% vs. 23.53%), had poorly differentiated adenocarcinoma (84.78% vs. 64.11%), gastric antrum cancer (59.38% vs. 50.72%) and signet ring cell carcinoma (21.13% vs. 8.51%). Over the past 20 years, the proportion of EOGC patients with T4 stage (10.71% to 41.74%), N3 stage (0 to 30.73%) and poorly differentiated adenocarcinoma (70.37% to 92.23%) has increased. In the female EOGC group, there were more patients with stage III-IV disease (57.23% vs. 43.22%), T4 stage (35.85% vs. 22.60%), and poorly differentiated adenocarcinoma (91.88% vs. 78.68%). Additionally, the proportions of T4 stage (16.13% to 50.50%), N3 stage (0% to 31.68%), and poorly differentiated adenocarcinoma (69.23% to 98.97%) gradually increased. In conclusion, our study not only identified unique clinicopathological characteristics of EOGC but also revealed the evolutionary trends of these indicators, which may provide some theoretical basis for the prevention and diagnosis of EOGC.
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Affiliation(s)
- Xiaodong Qu
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Xingyu Zhao
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Yuhuan Liu
- Xi’an Medical UniversityXi’an, Shaanxi, China
| | - Na Wang
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Luyao Zhang
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Xiaojing Zhu
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Qiang Dong
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Junye Liu
- Department of Radiation Protective Medicine, Fourth Military Medical UniversityXi’an, Shaanxi, China
| | - Yongquan Shi
- State Key Laboratory of Cancer Biology, Xijing Hospital of Digestive Diseases, Fourth Military Medical UniversityXi’an, Shaanxi, China
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