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The Impact of Transcriptional Profiling Cadherin Family and Therapeutic Approaches of Gastric Cancer: A Translational Outlook on Multi-omics Data Analysis

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Abstract

The classical cadherin gene has been linked to a variety of human malignancies, including gastric cancer. However, the link between cadherin genes and gastric cancer outcome is still unclear. This study used multi-omics data to examine the cadherin genes that were differentially regulated in gastric cancer. Differential expression of genes, epigenetic, molecular alterations, and protein expression analyses was conducted. Male SD rats were given N-methyl-N-nitrosourea (MNU) to induce stomach carcinoma in order to verify the activation of cadherin genes. CDH5, CDH6, CDH11, and CDH24 levels were found to be considerably higher in gastric cancer and may serve as useful indicators of stomach adenocarcinoma (STAD). Cadherin genes with variable expression had considerably more promoter methylation in cancers than in normal tissues. In individuals with gastric cancer, high expression of these cadherin genes was related to lower total mortality and disease-free survival rates. Furthermore, compared to normal rats, gastric cancer-induced rats had significantly higher expression and distribution of CDH5, CDH6, CDH11, and CDH24. This study sheds new light on the diagnosis and prognosis of gastric cancer by identifying potential prognostic markers such as CDH5, CDH6, CDH11, and CDH24. The multi-omics approach provided a potential tool for target-based therapy by accurately predicting the outcome of stomach cancer. Researchers may gain more knowledge about the role of cadherin genes in the development and dissemination of tumors to the activated rat model of gastric cancer.

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Data Availability

The following information was supplied regarding data availability: The raw measurements are available in the Supplemental File.

Abbreviations

BP:

Biological processes

CC:

Cell components

CDH:

Cadherin

CDH11:

Cadherin 11

CDH24:

Cadherin 24

CDH5:

Cadherin 5

CDH6:

Cadherin 6

CNV:

Copy number variation

CO:

Control group

CSCs:

Cancer stem cells

DAVID:

Database for Annotation, Visualization, and Integrated Discovery

DE:

Differentially expressed

DFS:

Disease-free survival

DNA:

Deoxyribonucleic acid

EMT:

Epithelial-mesenchymal transition

GBM:

Glioblastoma

GC:

Gastric cancer

GEPIA2:

Gene Expression Profiling Interactive Analysis version 2

GO:

Gene ontology

KEGG:

Kyoto Encyclopedia of Genes and Genomes

KIRC:

Kidney renal clear cell carcinoma

KM:

Kaplan-Meier

MF:

Molecular function

MNU:

N-Methyl-N-nitrosourea

mRNA:

Messenger RNA

OS:

Overall survival

PBS:

Phosphate-buffered saline

PPI:

Protein-protein interaction

RNA:

Ribonucleic acid

ROC:

Receiver operating characteristic

SD:

Sprague Dawley

STAD:

Stomach adenocarcinoma

TCGA :

The Cancer Genome Atlas

TPM:

Transcripts per million

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Authors and Affiliations

  1. Department of Medical Oncology, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266035, Shandong, China

    Huan Wang

  2. Department of General Surgery, Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University, Qingdao, 266035, Shandong, China

    Baomin Zhang

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Contributions

Huan Wang was responsible for performing computational work, preparing figures and/or tables, and either authoring or reviewing article drafts, in addition to approving the final version. Baomin Zhang, on the other hand, was involved in conceiving and designing the experiments, conducting them, analyzing the data, performing computational work, preparing figures and/or tables, and either authoring or reviewing article drafts, as well as approving the final version.

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Correspondence to Baomin Zhang.

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All animal-related experiments were authorized by the Qilu Hospital (Qingdao), Cheeloo College of Medicine, Shandong University Ethics Committee of China’s Faculty of Medicine with animal ethics number: KYDWLL-202327.

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Wang, H., Zhang, B. The Impact of Transcriptional Profiling Cadherin Family and Therapeutic Approaches of Gastric Cancer: A Translational Outlook on Multi-omics Data Analysis. Appl Biochem Biotechnol (2024). https://doi.org/10.1007/s12010-024-04926-2

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