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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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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. |
format | Online Article Text |
id | pubmed-10422795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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