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Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data

Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Hedgehog Interacting Protein (HHIP) is evolutionarily conserved protein, which are important morphogens for a wide range of developmental processes,However, the specific role and mechanism of HHIP in CRC remains not fully u...

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Detalles Bibliográficos
Autores principales: Fu, Fengyihuan, Zhang, Yuan, Feng, Jubin, Nie, Yuqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422795/
https://www.ncbi.nlm.nih.gov/pubmed/37568084
http://dx.doi.org/10.1186/s12876-023-02867-4
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author Fu, Fengyihuan
Zhang, Yuan
Feng, Jubin
Nie, Yuqiang
author_facet Fu, Fengyihuan
Zhang, Yuan
Feng, Jubin
Nie, Yuqiang
author_sort Fu, Fengyihuan
collection PubMed
description Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Hedgehog Interacting Protein (HHIP) is evolutionarily conserved protein, which are important morphogens for a wide range of developmental processes,However, the specific role and mechanism of HHIP in CRC remains not fully understood. In this study, we first performed pan-cancer analysis for HHIP’s expression via The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) data and found that HHIP might be a potential anti-oncogene for CRC. Subsequently, non-coding RNAs (ncRNAs) contributing to down-regulated HHIP expression were identified through a combination of a series of in silico analyses, including expression and correlation analysis. Finally, the LINC02381/miR-577 complex was identified as the top potential upstream regulator of HHIP in CRC. In addition, HHIP expression level was significantly correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression. Overall, our findings clarified ncRNAs-mediated down-regulation of HHIP which was associated with poor prognosis and tumor immune infiltration in CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02867-4.
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spelling pubmed-104227952023-08-13 Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data Fu, Fengyihuan Zhang, Yuan Feng, Jubin Nie, Yuqiang BMC Gastroenterol Research Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Hedgehog Interacting Protein (HHIP) is evolutionarily conserved protein, which are important morphogens for a wide range of developmental processes,However, the specific role and mechanism of HHIP in CRC remains not fully understood. In this study, we first performed pan-cancer analysis for HHIP’s expression via The Cancer Genome Atlas (TCGA) and The Genotype-Tissue Expression (GTEx) data and found that HHIP might be a potential anti-oncogene for CRC. Subsequently, non-coding RNAs (ncRNAs) contributing to down-regulated HHIP expression were identified through a combination of a series of in silico analyses, including expression and correlation analysis. Finally, the LINC02381/miR-577 complex was identified as the top potential upstream regulator of HHIP in CRC. In addition, HHIP expression level was significantly correlated with tumor immune cell infiltration, biomarkers of immune cells, and immune checkpoint expression. Overall, our findings clarified ncRNAs-mediated down-regulation of HHIP which was associated with poor prognosis and tumor immune infiltration in CRC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12876-023-02867-4. BioMed Central 2023-08-11 /pmc/articles/PMC10422795/ /pubmed/37568084 http://dx.doi.org/10.1186/s12876-023-02867-4 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
Fu, Fengyihuan
Zhang, Yuan
Feng, Jubin
Nie, Yuqiang
Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title_full Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title_fullStr Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title_full_unstemmed Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title_short Bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on GEO data and TCGA data
title_sort bioinformatics analysis of hedgehog interacting protein in colorectal cancer: a study based on geo data and tcga data
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10422795/
https://www.ncbi.nlm.nih.gov/pubmed/37568084
http://dx.doi.org/10.1186/s12876-023-02867-4
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