Cargando…
A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma
Psoriasis is the most common and chronic skin disease that affects individuals from every age group. The rate of psoriasis is increasing over the time in both developed and developing countries. Studies have revealed the possibility of association of psoriasis with skin cancers, particularly non-mel...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276676/ https://www.ncbi.nlm.nih.gov/pubmed/34267747 http://dx.doi.org/10.3389/fimmu.2021.662528 |
_version_ | 1783721946887749632 |
---|---|
author | Adil, Sidra Paracha, Rehan Zafar Tariq, Salma Nisar, Maryum Ijaz, Sadaf Siddiqa, Amnah Hussain, Zamir Amir, Afreenish |
author_facet | Adil, Sidra Paracha, Rehan Zafar Tariq, Salma Nisar, Maryum Ijaz, Sadaf Siddiqa, Amnah Hussain, Zamir Amir, Afreenish |
author_sort | Adil, Sidra |
collection | PubMed |
description | Psoriasis is the most common and chronic skin disease that affects individuals from every age group. The rate of psoriasis is increasing over the time in both developed and developing countries. Studies have revealed the possibility of association of psoriasis with skin cancers, particularly non-melanoma skin cancers (NMSC), which, include basal cell carcinoma and cutaneous squamous cell carcinoma (cSCC). There is a need to analyze the disease at molecular level to propose potential biomarkers and therapeutic targets in comparison to cSCC. Therefore, the second analyzed disease of this study is cSCC. It is the second most common prevalent skin cancer all over the world with the potential to metastasize and recur. There is an urge to validate the proposed biomarkers and discover new potential biomarkers as well. In order to achieve the goals and objectives of the study, microarray and RNA-sequencing data analyses were performed followed by network analysis. Afterwards, quantitative systems biology was implemented to analyze the results at a holistic level. The aim was to predict the molecular patterns that can lead psoriasis to cancer. The current study proposed potential biomarkers and therapeutic targets for psoriasis and cSCC. IL-17 signaling pathway is also identified as significant pathway in both diseases. Moreover, the current study proposed that autoimmune pathology, neutrophil recruitment, and immunity to extracellular pathogens are sensitive towards MAPKs (MAPK13 and MAPK14) and genes for AP-1 (FOSL1 and FOS). Therefore, these genes should be further studied in gene knock down based studies as they may play significant role in leading psoriasis towards cancer. |
format | Online Article Text |
id | pubmed-8276676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82766762021-07-14 A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma Adil, Sidra Paracha, Rehan Zafar Tariq, Salma Nisar, Maryum Ijaz, Sadaf Siddiqa, Amnah Hussain, Zamir Amir, Afreenish Front Immunol Immunology Psoriasis is the most common and chronic skin disease that affects individuals from every age group. The rate of psoriasis is increasing over the time in both developed and developing countries. Studies have revealed the possibility of association of psoriasis with skin cancers, particularly non-melanoma skin cancers (NMSC), which, include basal cell carcinoma and cutaneous squamous cell carcinoma (cSCC). There is a need to analyze the disease at molecular level to propose potential biomarkers and therapeutic targets in comparison to cSCC. Therefore, the second analyzed disease of this study is cSCC. It is the second most common prevalent skin cancer all over the world with the potential to metastasize and recur. There is an urge to validate the proposed biomarkers and discover new potential biomarkers as well. In order to achieve the goals and objectives of the study, microarray and RNA-sequencing data analyses were performed followed by network analysis. Afterwards, quantitative systems biology was implemented to analyze the results at a holistic level. The aim was to predict the molecular patterns that can lead psoriasis to cancer. The current study proposed potential biomarkers and therapeutic targets for psoriasis and cSCC. IL-17 signaling pathway is also identified as significant pathway in both diseases. Moreover, the current study proposed that autoimmune pathology, neutrophil recruitment, and immunity to extracellular pathogens are sensitive towards MAPKs (MAPK13 and MAPK14) and genes for AP-1 (FOSL1 and FOS). Therefore, these genes should be further studied in gene knock down based studies as they may play significant role in leading psoriasis towards cancer. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8276676/ /pubmed/34267747 http://dx.doi.org/10.3389/fimmu.2021.662528 Text en Copyright © 2021 Adil, Paracha, Tariq, Nisar, Ijaz, Siddiqa, Hussain and Amir https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Adil, Sidra Paracha, Rehan Zafar Tariq, Salma Nisar, Maryum Ijaz, Sadaf Siddiqa, Amnah Hussain, Zamir Amir, Afreenish A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title | A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title_full | A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title_fullStr | A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title_full_unstemmed | A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title_short | A Computational Systems Analyses to Identify Biomarkers and Mechanistic Link in Psoriasis and Cutaneous Squamous Cell Carcinoma |
title_sort | computational systems analyses to identify biomarkers and mechanistic link in psoriasis and cutaneous squamous cell carcinoma |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8276676/ https://www.ncbi.nlm.nih.gov/pubmed/34267747 http://dx.doi.org/10.3389/fimmu.2021.662528 |
work_keys_str_mv | AT adilsidra acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT paracharehanzafar acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT tariqsalma acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT nisarmaryum acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT ijazsadaf acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT siddiqaamnah acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT hussainzamir acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT amirafreenish acomputationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT adilsidra computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT paracharehanzafar computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT tariqsalma computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT nisarmaryum computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT ijazsadaf computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT siddiqaamnah computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT hussainzamir computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma AT amirafreenish computationalsystemsanalysestoidentifybiomarkersandmechanisticlinkinpsoriasisandcutaneoussquamouscellcarcinoma |