Assessment of ACE2, CXCL10 and Their co-expressed Genes: An In-silico Approach to Evaluate the Susceptibility and Fatality of Lung Cancer Patients towards COVID-19 Infection
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Abstract
Background
COVID-19 is a recent pandemic that started to spread out worldwide from Wuhan, China. This disease is caused by a newly discovered strain of the coronavirus, namely SARS CoV-2. Lung cancer patients are reported to be more susceptible to COVID-19 infection. To evaluate the probable reasons behind the excessive susceptibility and fatality of lung cancer patients to COVID-19 infection, we targeted two most crucial biomarkers of COVID-19, ACE2 and CXCL10. ACE2 plays a vital role in the SARS CoV-2 entry into the host cell while CXCL10 is a cytokine mainly responsible for the lung cell damage involving in a cytokine storm.
Methods
Firstly, we used the TIMER, UALCAN and GEPIA2 databases to analyze the expression and correlation of ACE2 and CXCL10 in LUAD and LUSC. After that, using the cBioPortal database, we performed an analytical study to determine the genetic changes in ACE2 and CXCL10 protein sequences that are responsible for lung cancer development. Finally, we analyzed different functional approaches of ACE2, CXCL10 and their co-expressed genes associated with lung cancer and COVID-19 development by using the PANTHER database.
Results
Initially, we observed that ACE2 and CXCL10 are mostly overexpressed in LUAD and LUSC. We also found the functional significance of ACE2 and CXCL10 in lung cancer development by determining the genetic alteration frequency in their amino acid sequences. Lastly, by doing the functional assessment of the targeted genes, we identified that ACE2 and CXCL10 along with their commonly co-expressed genes are respectively involved in the binding activity and immune responses in case of lung cancer and COVID-19 infection.
Conclusions
Finally, on the basis of this systemic analysis, we came to the conclusion that ACE2 and CXCL10 are possible biomarkers responsible for the higher susceptibility and fatality of lung cancer patients towards the COVID-19.
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SciScore for 10.1101/2020.05.27.119610: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources 2.1 Expression analysis of the targeted genes: 2.2 Functional characterization of the targeted genes: 2.3 Co-expression analysis of the targeted genes: 2.4 Interpretation of functional role of the targeted genes: An integrative molecular assessment of the functional approaches of ACE2 and CXCL10 associated with the lung cancer and fatal type of COVID-19 development was attributed by using Protein Analysis Through Evolutionary Relationships (PANTHER) (http://www.pantherdb.org/) … SciScore for 10.1101/2020.05.27.119610: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Software and Algorithms Sentences Resources 2.1 Expression analysis of the targeted genes: 2.2 Functional characterization of the targeted genes: 2.3 Co-expression analysis of the targeted genes: 2.4 Interpretation of functional role of the targeted genes: An integrative molecular assessment of the functional approaches of ACE2 and CXCL10 associated with the lung cancer and fatal type of COVID-19 development was attributed by using Protein Analysis Through Evolutionary Relationships (PANTHER) (http://www.pantherdb.org/) tool. PANTHERsuggested: (PANTHER, RRID:SCR_004869)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- No funding statement was detected.
- No protocol registration statement was detected.
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