The influence of COVID-19 on colorectal cancer was investigated using bioinformatics and systems biology techniques
Copyright © 2023 Song, Huang, Pan, Du, Wu, Lan, Zhou, Lv, Xue and Yuan..
Introduction: Coronavirus disease 2019 (COVID-19) is a global pandemic and highly contagious, posing a serious threat to human health. Colorectal cancer (CRC) is a risk factor for COVID-19 infection. Therefore, it is vital to investigate the intrinsic link between these two diseases.
Methods: In this work, bioinformatics and systems biology techniques were used to detect the mutual pathways, molecular biomarkers, and potential drugs between COVID-19 and CRC.
Results: A total of 161 common differentially expressed genes (DEGs) were identified based on the RNA sequencing datasets of the two diseases. Functional analysis was performed using ontology keywords, and pathway analysis was also performed. The common DEGs were further utilized to create a protein-protein interaction (PPI) network and to identify hub genes and key modules. The datasets revealed transcription factors-gene interactions, co-regulatory networks with DEGs-miRNAs of common DEGs, and predicted possible drugs as well. The ten predicted drugs include troglitazone, estradiol, progesterone, calcitriol, genistein, dexamethasone, lucanthone, resveratrol, retinoic acid, phorbol 12-myristate 13-acetate, some of which have been investigated as potential CRC and COVID-19 therapies.
Discussion: By clarifying the relationship between COVID-19 and CRC, we hope to provide novel clues and promising therapeutic drugs to treat these two illnesses.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:10 |
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| Enthalten in: |
Frontiers in medicine - 10(2023) vom: 29., Seite 1169562 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Song, Yujia [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Revised 18.07.2023 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
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| doi: |
10.3389/fmed.2023.1169562 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM359582583 |
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| 100 | 1 | |a Song, Yujia |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The influence of COVID-19 on colorectal cancer was investigated using bioinformatics and systems biology techniques |
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| 500 | |a Date Revised 18.07.2023 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2023 Song, Huang, Pan, Du, Wu, Lan, Zhou, Lv, Xue and Yuan. | ||
| 520 | |a Introduction: Coronavirus disease 2019 (COVID-19) is a global pandemic and highly contagious, posing a serious threat to human health. Colorectal cancer (CRC) is a risk factor for COVID-19 infection. Therefore, it is vital to investigate the intrinsic link between these two diseases | ||
| 520 | |a Methods: In this work, bioinformatics and systems biology techniques were used to detect the mutual pathways, molecular biomarkers, and potential drugs between COVID-19 and CRC | ||
| 520 | |a Results: A total of 161 common differentially expressed genes (DEGs) were identified based on the RNA sequencing datasets of the two diseases. Functional analysis was performed using ontology keywords, and pathway analysis was also performed. The common DEGs were further utilized to create a protein-protein interaction (PPI) network and to identify hub genes and key modules. The datasets revealed transcription factors-gene interactions, co-regulatory networks with DEGs-miRNAs of common DEGs, and predicted possible drugs as well. The ten predicted drugs include troglitazone, estradiol, progesterone, calcitriol, genistein, dexamethasone, lucanthone, resveratrol, retinoic acid, phorbol 12-myristate 13-acetate, some of which have been investigated as potential CRC and COVID-19 therapies | ||
| 520 | |a Discussion: By clarifying the relationship between COVID-19 and CRC, we hope to provide novel clues and promising therapeutic drugs to treat these two illnesses | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a colorectal cancer | |
| 650 | 4 | |a differentially expressed genes | |
| 650 | 4 | |a drug molecule | |
| 650 | 4 | |a gene ontology | |
| 650 | 4 | |a hub gene | |
| 650 | 4 | |a protein–protein interaction | |
| 700 | 1 | |a Huang, Tengda |e verfasserin |4 aut | |
| 700 | 1 | |a Pan, Hongyuan |e verfasserin |4 aut | |
| 700 | 1 | |a Du, Ao |e verfasserin |4 aut | |
| 700 | 1 | |a Wu, Tian |e verfasserin |4 aut | |
| 700 | 1 | |a Lan, Jiang |e verfasserin |4 aut | |
| 700 | 1 | |a Zhou, Xinyi |e verfasserin |4 aut | |
| 700 | 1 | |a Lv, Yue |e verfasserin |4 aut | |
| 700 | 1 | |a Xue, Shuai |e verfasserin |4 aut | |
| 700 | 1 | |a Yuan, Kefei |e verfasserin |4 aut | |
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