Survival Trends of Patients With Surgically Resected Gastric Cardia Cancer From 1988 to 2015

Zhang, Yang; Guo-Hui, Mei; Zhu, Lin; Yang, Wei; Zhang, Kecheng; Jin, Yu

doi:10.1097/coc.0000000000000558

Cited by 6 publications

(6 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This result is also similar to that in other studies[ 33 ]. According to the studies performed by authors from Western countries[ 34 , 35 ], the number of tumors in the upper third is increasing each year, which is also similar to the result obtained by some researchers from Asia[ 36 ]. It is estimated that the change in location may be caused by risk factors, as it is speculated that changes in the location may be caused by related risk factors, such as gastroesophageal reflux disease, smoking, drinking alcohol, and obesity.…”

Section: Discussionsupporting

confidence: 82%

Changing trends of clinicopathologic features and survival duration after surgery for gastric cancer in Northeast China

Zhai

Zhu

Cong

et al. 2020

WJGO

View full text Add to dashboard Cite

BACKGROUND Through analyzing the data from a single institution in Northeast China, this study revealed the possible clinicopathologic characteristics that influence the prognosis of patients with gastric cancer (GC). AIM To evaluate the changing trends of clinicopathologic features and survival duration after surgery in patients with GC in Northeast China, which is a high-prevalence area of GC. METHODS The study analyzed the difference in clinicopathologic features and survival duration after surgery of 5887 patients who were histologically diagnosed with GC at the Harbin Medical University Cancer Hospital. The study mainly analyzed the data in three periods, 2000 to 2004 (Phase 1), 2005 to 2009 (Phase 2), and 2010 to 2014 (Phase 3). RESULTS Over time, the postoperative survival rate significantly increased from 2000 to 2014. In the past 15 years, compared with Phases 1 and 2, the tumor size was smaller in Phase 3 ( P < 0.001), but the proportion of high-medium differentiated tumors increased ( P < 0.001). The proportion of early GC gradually increased from 3.9% to 14.4% ( P < 0.001). A surprising improvement was observed in the mean number of retrieved lymph nodes, ranging from 11.4 to 27.5 ( P < 0.001). The overall 5-year survival rate increased from 24% in Phase 1 to 43.8% in Phase 3. Through multivariate analysis, it was found that age, tumor size, histologic type, tumor-node-metastasis stage, depth of invasion, lymph node metastasis, surgical approach, local infiltration, radical extent, number of retrieved lymph nodes, and age group were independent risk factors that influenced the prognosis of patients with GC. CONCLUSION The clinical features of GC in Northeast China changed during the observation period. The increasing detection of early GC and more standardized surgical treatment effectively prolonged lifetimes.

show abstract

Section: Discussionsupporting

confidence: 82%

Changing trends of clinicopathologic features and survival duration after surgery for gastric cancer in Northeast China

Zhai

Zhu

Cong

et al. 2020

WJGO

View full text Add to dashboard Cite

show abstract

“…As reported by many researchers in Western countries, the number of proximal GC cases is increasing year by year, and a few studies have also observed similar results in Asian countries. Since proximal GC has more aggressive biological characteristics than distal GC, the prognosis of proximal GC is worse than that of distant GC[ 20 - 22 ]. The study by Gao et al[ 23 ] showed that in proximal GC, there is no significant difference in prognosis between patients with Borrmann type III disease and LBVI (+) and those with Borrmann type IV and LBVI (-).…”

Section: Discussionmentioning

confidence: 99%

Prognostic significance of Borrmann type combined with vessel invasion status in advanced gastric cancer

Zhai¹,

Zhu²,

Zhang³

et al. 2020

WJGO

View full text Add to dashboard Cite

BACKGROUND Borrmann classification (types I-IV) for the detection of advanced gastric cancer has been accepted worldwide, and lymphatic and/or blood vessel invasion (LBVI) status is related to the poor prognosis after gastric cancer. AIM To evaluate the significance of Borrmann type combined with LBVI status in predicting the prognosis of advanced gastric cancer. METHODS We retrospectively studied the clinicopathological characteristics and long-term survival data of 2604 patients who were diagnosed with advanced gastric adenocarcinoma at Harbin Medical University Cancer Hospital from January 2009 to December 2013. Categorical variables were evaluated by the Pearson’s χ 2 test, the Kaplan-Meier method was used to identify differences in cumulative survival rates, and the Cox proportional hazards model was used for multivariate prognostic analysis. RESULTS A total of 2604 patients were included in this study. The presence of LVBI [LBVI (+)] and Borrmann type ( P = 0.001), tumor location ( P < 0.001), tumor size ( P < 0.001), histological type ( P < 0.001), tumor invasion depth ( P < 0.001), number of metastatic lymph nodes ( P < 0.001), and surgical method ( P < 0.001) were significantly correlated with survival. When analyzing the combination of the Borrmann classification and LBVI status, we found that patients with Borrmann type III disease and LBVI (+) had a similar 5-year survival rate to those with Borrmann IV + LBVI (-) (16.4% vs 13.1%, P = 0.065) and those with Borrmann IV + LBVI (+) (16.4% vs 11.2%, P = 0.112). Subgroup analysis showed that the above results were true for any pT stage and any tumor location. Multivariate Cox regression analysis showed that Borrmann classification ( P = 0.023), vascular infiltration ( P < 0.001), tumor size ( P = 0.012), pT stage ( P < 0.001), pN stage ( P < 0.001), and extent of radical surgery ( P < 0.001) were independent prognostic factors for survival. CONCLUSION Since patients with Borrmann III disease and LBVI (+) have the same poor prognosis as those with Borrmann IV disease, more attention should be paid to patients with Borrmann III disease and LBVI (+) during diagnosis and treatment, regardless of the pT stage and tumor location, to obtain better survival results.

show abstract

“…Long et al [31] found that the increased lymph node removal and chemoradiotherapy (CRT) contributed to improve the survival rate of GCC patients. And other various risk factors affecting the prognosis of these patients had been reported too, including sex, age, smoking, alcohol, histological type and TNM stage [32][33][34].…”

Section: Discussionmentioning

confidence: 99%

Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Zhang

Cai

et al. 2022

Preprint

View full text Add to dashboard Cite

Background: Gastric cancer (GC) is one of the most common cancers and the main cause of tumor-related death worldwide. Moreover, the incidence of gastric cardiac cancer (GCC) has increased obviously, with the potentially different prognosis from other sites of GC (non-gastric cardiac cancer, NGCC). We will analyze the prognosis between GCC and NGCC, and set up an effective prognostic model based on neural network for GCC. Methods: In the population-based cohort study, we firstly enrolled the clinical features from the Surveillance, Epidemiology and End Results (SEER) data (n=31397) as well as the public Chinese data from different hospitals (n=1049). Then according to the diagnostic time, the SEER data were then divided into two cohorts, the train cohort (patients were diagnosed as GCC in 2010-2014, n=4414) and the test cohort (diagnosed in 2015, n=957). Age, sex, pathology, tumor, node, and metastasis (TNM) stage, tumor size, surgery or not, radiotherapy or not, chemotherapy or not and history of malignancy were chosen as the predictive clinical features. Results: The prognosis of GCC patients in SEER database was worse than that of NGCC patients, while it was not worst in the Chinese data. The total of 5371 patients were used to conduct the development model, following inclusion and exclusion criteria. Neural network-based prognostic predictive model had a satisfactory performance for GCC overall survival (OS) prediction, which owned 0.7431 AUC in the train cohort (95% confidence intervals, CIs, 0.7423-0.7439) and 0.7419 in the test cohort (95% CIs, 0.7411-0.7428). Conclusion: GCC patients indeed have the different survival time compared with NGCC patients. And this neural network-based prognostic predictive tool is a novel and promising software for the outcome of GCC patients.

show abstract

Survival Trends of Patients With Surgically Resected Gastric Cardia Cancer From 1988 to 2015

Cited by 6 publications

References 30 publications

Changing trends of clinicopathologic features and survival duration after surgery for gastric cancer in Northeast China

Changing trends of clinicopathologic features and survival duration after surgery for gastric cancer in Northeast China

Prognostic significance of Borrmann type combined with vessel invasion status in advanced gastric cancer

Neural network-based prognostic predictive tool for gastric cardiac cancer: the worldwide retrospective study

Contact Info

Product

Resources

About