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...

Descripción completa

Detalles Bibliográficos
Autores principales: Adil, Sidra, Paracha, Rehan Zafar, Tariq, Salma, Nisar, Maryum, Ijaz, Sadaf, Siddiqa, Amnah, Hussain, Zamir, Amir, Afreenish
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