Survival trends in gastric cancer patients between 1987 and 2016: a population-based cohort study in Finland

Maharjan, Urgena; Kauppila, Joonas H

doi:10.1007/s10120-022-01326-5

Cited by 8 publications

(7 citation statements)

References 34 publications

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“…As patients' age at diagnosis is considered one of the independent factors affecting GC survival [2,7,8,12,[14][15][16], the prognosis of young and elderly patients with stomach cancer has been estimated and compared in various studies, although the results were inconsistent. Most of the investigations found no differences [13,21] or better outcomes [7,8,12,14,16,19], while only a few studies reported poorer survival rates for young patients [17,18]. Also, it has been observed that young patients' survival was worse due to individual characteristics and different tumor behaviors [8].…”

Section: Discussionmentioning

confidence: 99%

“…Important predictive factors for GC prognosis include tumor patterns at diagnosis and access to effective treatment [2,[7][8][9][10][11]. Significant patient characteristics that can affect GC survival include the patient's age at diagnosis [7,8,[12][13][14][15][16][17][18][19] and the presence of comorbidities [8,20,21]. Elderly patients with gastric cancer are generally recognized as having a worse long-term prognosis than younger patients [3,4,8,12,14,16], but controversies exist regarding the impact of age on cancer-specific mortality [2].…”

Section: Introductionmentioning

confidence: 99%

“…Significant patient characteristics that can affect GC survival include the patient's age at diagnosis [7,8,[12][13][14][15][16][17][18][19] and the presence of comorbidities [8,20,21]. Elderly patients with gastric cancer are generally recognized as having a worse long-term prognosis than younger patients [3,4,8,12,14,16], but controversies exist regarding the impact of age on cancer-specific mortality [2].…”

Section: Introductionmentioning

confidence: 99%

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Effect of Age at Diagnosis on the Prognosis of Gastric Cancer Patients: A Population-Based Study in Georgia

Zhizhilashvili,

Mchedlishvili,

Jankarashvili

et al. 2024

Cureus

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Introduction: The national burden of gastric cancer (GC) is high in Georgia, which is determined by its high mortality and low survival. The study aimed to estimate the effect of age at diagnosis on the prognosis of GC patients diagnosed between 2015 and 2020 in Georgia. Materials and methods: We obtained data for the study from the national population-based cancer registry. All patients 15 years of age or older, diagnosed during 2015-2020 with invasive GC (site codes C16.0 to C16.9, International Classification of Diseases for Oncology), were eligible for inclusion in the analysis. We produced survival curves using the Kaplan-Meier method, and the log-rank test was used to compare survival between groups. Hazard ratios (HR) were estimated using univariate Cox proportional models and multivariate Cox proportional hazard models. The endpoint of the study was overall survival (OS). The level of statistical significance of the study findings was estimated using p-values and 95% confidence intervals (CI). A p-value<0.05 was considered statistically significant. Results: A total of 1,828 gastric cancer cases were included in the statistical analysis. The average age of patients was 65 years. The bivariate Cox’s regression analysis demonstrated that the risk of gastric cancer mortality increased gradually with the age of cancer patients. The HR and 95% CI were as follows: 1.5 (1.1-1.8) and 2.1 (1.5-2.5) in the 46-65 years and >65 years groups, respectively, with the <46 years group as a reference. Moreover, multivariable Cox’s regression analysis proved that age is an independent risk factor for GC mortality (HR = 1.4; 95% CI = 1.2-1.8; p<.001). Conclusion: We found that age at diagnosis was a significant predictor of the worse survival of GC patients diagnosed between 2015 and 2020 in Georgia.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Effect of Age at Diagnosis on the Prognosis of Gastric Cancer Patients: A Population-Based Study in Georgia

Zhizhilashvili,

Mchedlishvili,

Jankarashvili

et al. 2024

Cureus

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“…Therefore, the 5-year survival rate in the cardiac GC group was significantly lower than that in the non-cardiac GC group ( 42 ). A cohort study from 1987-1991 to 2012-2016 found that among non-cardia adenocarcinoma patients who underwent surgery, five-year survival increased from 29% to 38%, while survival increased from 4% to 7% for those who underwent CT; In cardiac adenocarcinoma, five-year survival increased from 16% to 40% for patients undergoing surgery and from 0% to 5% for those undergoing CT ( 43 ). As can be seen from the nomogram, the low differentiation grades of the GAC were significantly associated with poorer survival, which was consistent with many previous studies.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of nomogram models to predict radiotherapy or chemotherapy benefit in stage III/IV gastric adenocarcinoma with surgery

Ren,

Huang,

Tang

et al. 2023

Front. Oncol.

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ObjectivesThe advanced gastric adenocarcinoma (GAC) patients (stage III/IV) with surgery may have inconsistent prognoses due to different demographic and clinicopathological factors. In this retrospective study, we developed clinical prediction models for estimating the overall survival (OS) and cancer-specific survival (CSS) in advanced GAC patients with surgeryMethodsA retrospective analysis was conducted using the Surveillance, Epidemiology, and End Results (SEER) database. The total population from 2004 to 2015 was divided into four levels according to age, of which 179 were younger than 45 years old, 695 were 45-59 years old, 1064 were 60-74 years old, and 708 were older than 75 years old. There were 1,712 men and 934 women. Univariate and multivariate Cox regression analyses were performed to identify prognostic factors for OS and CSS. Nomograms were constructed to predict the 1-, 3-, and 5-year OS and CSS. The models’ calibration and discrimination efficiency were validated. Discrimination and accuracy were evaluated using the consistency index, area under the receiver operating characteristic curve, and calibration plots; and clinical usefulness was assessed using decision curve analysis. Cross-validation was also conducted to evaluate the accuracy and stability of the models. Prognostic factors identified by Cox regression were analyzed using Kaplan-Meier survival analysis.ResultsA total of 2,646 patients were included in our OS study. Age, primary site, differentiation grade, AJCC 6th_TNM stage, chemotherapy, radiotherapy, and number of regional nodes examined were identified as prognostic factors for OS in advanced GAC patients with surgery (P < 0.05). A total of 2,369 patients were included in our CSS study. Age, primary site, differentiation grade, AJCC 6th_TNM stage, chemotherapy, radiotherapy, and number of regional nodes examined were identified as risk factors for CSS in these patients (P < 0.05). These factors were used to construct the nomogram to predict the 1-, 3-, and 5-year OS and CSS of advanced GAC patients with surgery. The consistency index and area under the receiver operating characteristic curve demonstrated that the models effectively differentiated between events and nonevents. The calibration plots for 1-, 3-, and 5-year OS and CSS probability showed good consistence between the predicted and the actual events. The decision curve analysis indicated that the nomogram had higher clinical predictive value and more significant net gain than AJCC 6th_TNM stage in predicting OS and CSS of advanced GAC patients with surgery. Cross-validation also revealed good accuracy and stability of the models.ConclusionThe developed predictive models provided available prognostic estimates for advanced GAC patients with surgery. Our findings suggested that both OS and CSS can benefit from chemotherapy or radiotherapy in these patients.

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“… 3 Despite advances in the current management of GC, including radiation, chemotherapy, and surgery, the 5-year overall survival of patients with advanced GC remains below 30%. 4 , 5 Poor prognosis and high mortality in GC are closely related to lymph node metastasis, delayed diagnosis, and limited treatment options. 6 Therefore, the development of new prognostic markers is very helpful for early diagnosis and GC prognosis.…”

Section: Introductionmentioning

confidence: 99%

Identification of Novel Prognostic Biomarkers That are Associated with Immune Microenvironment Based on GABA-Related Molecular Subtypes in Gastric Cancer

Wang¹,

Huang²,

Ye³

et al. 2023

PGPM

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Background Gamma-aminobutyric acid (GABA) plays an important role in tumorigenesis and progression. Despite this, the role of Reactome GABA receptor activation (RGRA) on gastric cancer (GC) remains unclear. This study was intended to screen RGRA-related genes in GC and investigate their prognostic value. Methods GSVA algorithm was used to assess the score of RGRA. GC patients were divided into two subtypes based on the median score of RGRA. GSEA, functional enrichment analysis, and immune infiltration analysis were performed between the two subgroups. Then, differentially expressed analysis, and weighted gene co-expression network analysis (WGCNA) were used to identify RGRA-related genes. The prognosis and expression of core genes were analyzed and validated in the TCGA database, GEO database, and clinical samples. ssGSEA and ESTIMATE algorithms were used to assess the immune cell infiltration in the low- and high-core genes subgroups. Results High-RGRA subtype had a poor prognosis and activated immune-related pathways, as well as an activated immune microenvironment. ATP1A2 was identified to be the core gene. The expression of ATP1A2 was associated with the overall survival rate and tumor stage, and its expression was down-regulated in GC patients. Furthermore, ATP1A2 expression was positively correlated with the level of immune cells, including B cells, CD8 T cells, cytotoxic cells, DC, eosinophils, macrophages, mast cells, NK cells, and T cells. Conclusion Two RGRA-related molecular subtypes were identified that could predict the outcome in GC patients. ATP1A2 was a core immunoregulatory gene and was associated with prognosis and immune cell infiltration in GC.

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Survival trends in gastric cancer patients between 1987 and 2016: a population-based cohort study in Finland

Cited by 8 publications

References 34 publications

Effect of Age at Diagnosis on the Prognosis of Gastric Cancer Patients: A Population-Based Study in Georgia

Effect of Age at Diagnosis on the Prognosis of Gastric Cancer Patients: A Population-Based Study in Georgia

Development and validation of nomogram models to predict radiotherapy or chemotherapy benefit in stage III/IV gastric adenocarcinoma with surgery

Identification of Novel Prognostic Biomarkers That are Associated with Immune Microenvironment Based on GABA-Related Molecular Subtypes in Gastric Cancer

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