Identification of core genes associated with type 2 diabetes mellitus and gastric cancer by bioinformatics analysis

Liu, Shiwei; Zhao, Yuxiang; Duan, Ruixue; Wu, Yuqi; Chen, Xiaoqin; Li, Naishi

doi:10.21037/atm-21-3635

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Frontiers in Bioinformatics frontiersin.org likely that consequent genes (MAPK3+) will also be expressed/ methylated in a specified manner together. According to Yang et al (2021), Yang et al (2022), andLiu et al (2022), we obtained these three genes, namely, STAT3, TP53, and MAPK3 together as core target genes or highest degree hub genes related to several diseases like gastric cancer and type 2 diabetes mellitus. According to Zu et al (2021), the three genes of the second association rule, JUN, TP53, and MAPK3 together, are related to gastric cancer.…”

Section: Rulementioning

confidence: 99%

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data

Mallik

Seth

et al. 2023

Front. Bioinform.

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Introduction: Association rule mining (ARM) is a powerful tool for exploring the informative relationships among multiple items (genes) in any dataset. The main problem of ARM is that it generates many rules containing different rule-informative values, which becomes a challenge for the user to choose the effective rules. In addition, few works have been performed on the integration of multiple biological datasets and variable cutoff values in ARM.Methods: To solve all these problems, in this article, we developed a novel framework MOOVARM (multi-objective optimized variable cutoff-based association rule mining) for multi-omics profiles.Results: In this regard, we identified the positive ideal solution (PIS), which maximized the profit and minimized the loss, and negative ideal solution (NIS), which minimized the profit and maximized the loss for all gene sets (item sets), belonging to each extracted rule. Thereafter, we computed the distance (d +) from PIS and distance (d −) from NIS for each gene set or product. These two distances played an important role in determining the optimized associations among various pairs of genes in the multi-omics dataset. We then globally estimated the relative closeness to PIS for ranking the gene sets. When the relative closeness score of the rule is greater than or equal to the pre-defined threshold value, the rule can be considered a final resultant rule. Moreover, MOOVARM evaluated the relative score of the rule based on the status of all genes instead of individual genes.Conclusions:MOOVARM produced the final rank of the extracted (multi-objective optimized) rules of correlated genes which had better disease classification than the state-of-the-art algorithms on gene signature identification.

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Section: Rulementioning

confidence: 99%

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data

Mallik

Seth

et al. 2023

Front. Bioinform.

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“…Globally, gastric cancer has been considered as the fifth most common human malignancy, ranked as the fourth-leading cause of cancer related deaths [ 1 ]; however, type 2 diabetes and cancer have contributed to increased mortality rates according to recent studies [ 2 ], and despite efforts to curb its occurrence, their existence persists, as they share several risks. Recent studies conducted in China have proven that hypoglycemia has a high probability of developing into gastric cancer, leading to an increase in gastric cancer incidences and the related death toll due to the proliferation of two major genes: caspase3 (CASP3) and tumor protein P53 (TP53) [ 3 ]. Nonetheless, the biological ties linking the two are still not well understood [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Underuse of Gastric Cancer Screening Services among Koreans with Type 2 Diabetes

2023

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We aimed to compare the gastric cancer screening rates between participants with diabetes and those without diabetes in the Korean population. The data of 4284 participants from the Korea National Health and Nutrition Examination Survey 2019 were used. Cancer-free people aged ≥40 years were included, and cancer screening rates in diabetes and non-diabetes participants were analyzed. Baseline characteristics and screening rates were calculated using weighted frequencies and multivariable regression at a 95% confidence interval in both groups. Screening for gastric cancer was significantly lower (odd ratio [OR]: 0.77, 95% CI: 0.64–0.95) in patients with diabetes than in those without diabetes. The odds of performing the recommended gastric cancer screening were also lower (OR: 0.72, 95% CI: 0.58–0.90) in participants with diabetes than in those without diabetes. After adjusting for socio-demographic factors, the multivariable logistics regression analysis also showed lower odds for gastric cancer screening participation in diabetic patients than in non-diabetes participants. Conclusively, people with diabetes were less likely to have ever had or been recommended screening compared with those without diabetes. Greater efforts need to be made by health specialists to increase the awareness and the need of long-term preventive care including gastric cancer screening in high-risk groups.

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Study on TFF1 and PALB2 gene variants associated with gastric carcinoma risk in the Chinese Han population

Zou

Zhang²,

Sun

et al. 2023

Cancer Epidemiology

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Identification of core genes associated with type 2 diabetes mellitus and gastric cancer by bioinformatics analysis

Cited by 6 publications

References 32 publications

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data

Optimal ranking and directional signature classification using the integral strategy of multi-objective optimization-based association rule mining of multi-omics data

Underuse of Gastric Cancer Screening Services among Koreans with Type 2 Diabetes

Study on TFF1 and PALB2 gene variants associated with gastric carcinoma risk in the Chinese Han population

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