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Molecular Mechanisms of PD-1 and PD-L1 Activity on a Pan-Cancer Basis: A Bioinformatic Exploratory Study
Siddarth Kannan1, Geraldine Martina O'Connor1, Emyr Yosef Bakker1
1School of Medicine, University of Central Lancashire, Preston PR1 2HE, UK.
Abstract:
Immune checkpoint blockade targeting PD-1 (PDCD1)/PD-L1 (CD274) is increasingly used for multiple cancers. However, efficacy and adverse-related events vary significantly. This bioinformatic study interrogated molecular differences pertaining to PDCD1/CD274 and their correlated genes on a pan-cancer basis to identify differences between cancer types. Patient RNA-seq data from fifteen cancer types were accessed on cBioPortal to determine the role of PDCD1/CD274 in patient survival and to identify positively and negatively correlated genes, which were also assessed for clinical relevance. Genes correlating with PDCD1/CD274 across multiple cancers were taken forward for drug repurposing via DRUGSURV and microRNA analysis using miRDB and miRabel. MicroRNAs were also screened for clinical relevance using OncomiR. Forty genes were consistently correlated with PDCD1/CD274 across multiple cancers, with the cancers themselves exhibiting a differential role for the correlated genes in terms of patient survival. Esophageal and renal cancers in particular stood out in this regard as having a unique survival profile. Forty-nine putative microRNAs were identified as being linked to the PDCD1/CD274 network, which were taken forward and further assessed for clinical relevance using OncomiR and previously published literature. One hundred and thirty significant survival associations for 46 microRNAs across fourteen groups of cancers were identified. Finally, a total of 23 putative repurposed drugs targeting multiple components of the PDCD1/CD274 network were identified, which may represent immunotherapeutic adjuvants. Taken together, these results shed light on the varying PDCD1/CD274 networks between individual cancers and signpost a need for more cancer-specific investigations and treatments.
Insights
This study analyzed PD-1/PD-L1 networks across cancers. It identified key genes, microRNAs, and repurposed drugs, revealing cancer-specific differences for tailored immunotherapies.
Area of Science:
- Oncology
- Bioinformatics
- Immunotherapy
Background:
- Immune checkpoint inhibitors targeting PD-1 (Programmed cell death protein 1) and PD-L1 (Programmed death-ligand 1) are vital cancer treatments.
- However, their effectiveness and side effects differ significantly across cancer types.
Purpose of the Study:
- To investigate pan-cancer molecular differences in PD-1/PD-L1 networks.
- To identify genes, microRNAs, and potential drug targets associated with PD-1/PD-L1 for personalized cancer therapy.
Main Methods:
- Utilized bioinformatic analysis of RNA-seq data from 15 cancer types via cBioPortal.
- Identified genes and microRNAs correlated with PDCD1/CD274, assessing their clinical relevance and survival impact.
- Performed drug repurposing analysis using DRUGSURV and microRNA analysis via miRDB and miRabel.
Main Results:
- Identified 40 genes consistently correlated with PDCD1/CD274, showing differential survival roles across cancers, notably in esophageal and renal cancers.
- Discovered 49 microRNAs linked to the PDCD1/CD274 network, with 46 showing significant survival associations across 14 cancer groups.
- Identified 23 potential repurposed drugs targeting the PDCD1/CD274 network as immunotherapeutic adjuvants.
Conclusions:
- Demonstrated distinct PD-1/PD-L1 molecular networks among different cancer types.
- Highlighted the need for cancer-specific investigations and treatments to optimize immunotherapy efficacy.
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