Evidence map›Paper›PMID 39963439›Full record

ArticleMateria socio-medica2024

The Role of TP53, KRAS, CDH1, Demographic and Clinical Variables in Gastric Cancer.

Ali Abu Siyam, Suha Khayri Ababneh, Ibrahim Al-Odat, Sokiyna Ababneh, Ahed J Alkhatib

Abstract read
In one paragraph

Article in Materia socio-medica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ali Abu SiyamDepartment of Medical Laboratory Sciences, Faculty of Allied Medical Sciences, Jadara University, Irbid, Jordan.
Suha Khayri AbabnehDepartment of Allied Medical Sciences, Zarqa University College, Al-Balqa Applied University, Zarqa, Jordan.
Ibrahim Al-OdatDepartment of Medical Laboratory Sciences, Faculty of Allied Medical Sciences, Jadara University, Irbid, Jordan.
Sokiyna AbabnehDepartment of Allied Medical Sciences, Zarqa University College, Al-Balqa Applied University, Zarqa, Jordan.
Ahed J AlkhatibDepartment of Legal Medicine, Toxicology and Forensic Medicine, Jordan University of Science and Technology, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Worldwide, gastric cancer remains the fifth most prevalent type of cancer and is the third leading cause of cancer-related deaths. Gastric cancer is responsible for around 7% of global cancer occurrence and approximately 9% of annual cancer-related mortalities. Objective: The aim of the study was to analyze gastric cancer dataset posted on Kaggle (https://www.kaggle.com/datasets/datasetengineer/gastric-cancer-gc-dataset). Methods: This dataset comprises 212354 participants, of whom 10% had gastric cancer. This dataset was analyzed to extract the information regarding gastric cancer. The analysis of data was performed SPSS version 25. Descriptive analysis was used to describe data including frequency and percentages to describe categorical variables such as age, and the mean and standard deviation to describe non-categorical variables such as age. The relationships between variables and gastric cancer were calculated based on Chi-Square and One Way ANOVA tests, significance was considered if p value ≤0,05. Results: The mean age was 53.2580±18.98 years. Seventy percent of participants were males. About 30% of participants had a family history of gastric cancer. About 40% of participants were smokers. About 50% of participants were alcoholic. About 75% of participants had Helicobacter pylori. 80% of participants were at high salt intake. About 50% of participants had chronic gastritis. Abnormal endoscopic image reports were reported in approximately 30% of participants. Biopsy results were negative in 90% of participants. The reports of CT scans were negative in approximately 80%. Genetic mutations were detected in Tp53 (50.1%), KRAS (20%), and CDH1 (29,9%). No significant relationships were found between gastric cancer and study variables. Conclusion: Most of the people had risk factors such as Helicobacter pylori infection, salt intake, and mutations in TP53, KRAS, and CDH1. However, statistical analyses did not find significant correlations between those and gastric cancer.

Indexed as

CHD1datasetGastric cancerKaggleKRASTp53

Identifiers

PMID39963439
PMCPMC11830230

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.