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Identification of miR-143-3p as a diagnostic biomarker in gastric cancer

BACKGROUND: Gastric cancer (GC) is among the most common types of gastrointestinal cancers and has a high incidence and mortality around the world. To suppress the progression of GC, it is essential to develop diagnostic markers. MicroRNAs regulate GC development, but a clearer insight into their ro...

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Autores principales: Ju, Yeongdon, Choi, Go-Eun, Lee, Moon Won, Jeong, Myeongguk, Kwon, Hyeokjin, Kim, Dong Hyeok, Kim, Jungho, Jin, Hyunwoo, Lee, Kyung Eun, Hyun, Kyung-Yae, Jang, Aelee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273760/
https://www.ncbi.nlm.nih.gov/pubmed/37328880
http://dx.doi.org/10.1186/s12920-023-01554-3
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author Ju, Yeongdon
Choi, Go-Eun
Lee, Moon Won
Jeong, Myeongguk
Kwon, Hyeokjin
Kim, Dong Hyeok
Kim, Jungho
Jin, Hyunwoo
Lee, Kyung Eun
Hyun, Kyung-Yae
Jang, Aelee
author_facet Ju, Yeongdon
Choi, Go-Eun
Lee, Moon Won
Jeong, Myeongguk
Kwon, Hyeokjin
Kim, Dong Hyeok
Kim, Jungho
Jin, Hyunwoo
Lee, Kyung Eun
Hyun, Kyung-Yae
Jang, Aelee
author_sort Ju, Yeongdon
collection PubMed
description BACKGROUND: Gastric cancer (GC) is among the most common types of gastrointestinal cancers and has a high incidence and mortality around the world. To suppress the progression of GC, it is essential to develop diagnostic markers. MicroRNAs regulate GC development, but a clearer insight into their role is needed before they can be applied as a molecular markers and targets. METHODS: In this study, we assessed the diagnostic value of differentially expressed microRNAs as potential diagnostic biomarkers for GC using data for 389 tissue samples from the Cancer Genome Atlas (TCGA) and 21 plasma samples from GC patients. RESULTS: The expression of hsa-miR-143-3p (also known as hsa-miR-143) was significantly downregulated in GC according to the TCGA data and plasma samples. The 228 potential target genes of hsa-miR-143-3p were analyzed using a bioinformatics tool for miRNA target prediction. The target genes correlated with extracellular matrix organization, the cytoplasm, and identical protein binding. Furthermore, the pathway enrichment analysis of target genes showed that they were involved in pathways in cancer, the phosphoinositide 3-kinase (PI3K)–protein kinase B (Akt) signaling pathway, and proteoglycans in cancer. The hub genes in the protein–protein interaction (PPI) network, were matrix metallopeptidase 2 (MMP2), CD44 molecule (CD44), and SMAD family member 3 (SMAD3). CONCLUSIONS: This study suggests that hsa-miR-143-3p may be used as a diagnostic marker for GC, contributing via the pathways involved in the development of GC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01554-3.
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spelling pubmed-102737602023-06-17 Identification of miR-143-3p as a diagnostic biomarker in gastric cancer Ju, Yeongdon Choi, Go-Eun Lee, Moon Won Jeong, Myeongguk Kwon, Hyeokjin Kim, Dong Hyeok Kim, Jungho Jin, Hyunwoo Lee, Kyung Eun Hyun, Kyung-Yae Jang, Aelee BMC Med Genomics Research BACKGROUND: Gastric cancer (GC) is among the most common types of gastrointestinal cancers and has a high incidence and mortality around the world. To suppress the progression of GC, it is essential to develop diagnostic markers. MicroRNAs regulate GC development, but a clearer insight into their role is needed before they can be applied as a molecular markers and targets. METHODS: In this study, we assessed the diagnostic value of differentially expressed microRNAs as potential diagnostic biomarkers for GC using data for 389 tissue samples from the Cancer Genome Atlas (TCGA) and 21 plasma samples from GC patients. RESULTS: The expression of hsa-miR-143-3p (also known as hsa-miR-143) was significantly downregulated in GC according to the TCGA data and plasma samples. The 228 potential target genes of hsa-miR-143-3p were analyzed using a bioinformatics tool for miRNA target prediction. The target genes correlated with extracellular matrix organization, the cytoplasm, and identical protein binding. Furthermore, the pathway enrichment analysis of target genes showed that they were involved in pathways in cancer, the phosphoinositide 3-kinase (PI3K)–protein kinase B (Akt) signaling pathway, and proteoglycans in cancer. The hub genes in the protein–protein interaction (PPI) network, were matrix metallopeptidase 2 (MMP2), CD44 molecule (CD44), and SMAD family member 3 (SMAD3). CONCLUSIONS: This study suggests that hsa-miR-143-3p may be used as a diagnostic marker for GC, contributing via the pathways involved in the development of GC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01554-3. BioMed Central 2023-06-16 /pmc/articles/PMC10273760/ /pubmed/37328880 http://dx.doi.org/10.1186/s12920-023-01554-3 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Ju, Yeongdon
Choi, Go-Eun
Lee, Moon Won
Jeong, Myeongguk
Kwon, Hyeokjin
Kim, Dong Hyeok
Kim, Jungho
Jin, Hyunwoo
Lee, Kyung Eun
Hyun, Kyung-Yae
Jang, Aelee
Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title_full Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title_fullStr Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title_full_unstemmed Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title_short Identification of miR-143-3p as a diagnostic biomarker in gastric cancer
title_sort identification of mir-143-3p as a diagnostic biomarker in gastric cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273760/
https://www.ncbi.nlm.nih.gov/pubmed/37328880
http://dx.doi.org/10.1186/s12920-023-01554-3
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