ArticleGenes2017
Gene Regulatory Network Rewiring in the Immune Cells Associated with Cancer.
Article in Genes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- YY1-induced lncRNA00511 promotes melanoma progression via the miR-150-5p/ADAM19 axis.American journal of cancer research · 2024Article
- Single-cell biological network inference using a heterogeneous graph transformer.Nature communications · 2023Article
- The therapeutic effect of PEI-FeFrontiers in oncology · 2023Article
- Expression Profile of Genes Related to the Th17 Pathway in Macrophages Infected byFrontiers in cellular and infection microbiology · 2022Article
- Integrated bioinformatics analysis of the transcription factor-mediated gene regulatory networks in the formation of spermatogonial stem cells.Frontiers in physiology · 2022Article
- Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury.Scientific reports · 2019Article
- The intragenic mRNA-microRNA regulatory network during telogen-anagen hair follicle transition in the cashmere goat.Scientific reports · 2018Article
- CEA: Combination-based gene set functional enrichment analysis.Scientific reports · 2018Article
- Effect of CCL5 expression in the recruitment of immune cells in triple negative breast cancer.Scientific reports · 2018Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The gene regulatory networks (GRNs) of immune cells not only indicate cell identity but also reveal the dynamic changes of immune cells when comparing their GRNs. Cancer immunotherapy has advanced in the past few years. Immune-checkpoint blockades (i.e., blocking PD-1, PD-L1, or CTLA-4) have shown durable clinical effects on some patients with various advanced cancers. However, major gaps in our knowledge of immunotherapy have been recognized. To fill these gaps, we conducted a systematic analysis of the GRNs of key immune cell subsets (i.e., B cell, CD4, CD8, CD8 naïve, CD8 Effector memory, CD8 Central Memory, regulatory T, Thelper1, Thelper2, Thelp17, and NK (Nature killer) and DC (Dendritic cell) cells associated with cancer immunologic therapies. We showed that most of the GRNs of these cells in blood share key important hub regulators, but their subnetworks for controlling cell type-specific receptors are different, suggesting that transformation between these immune cell subsets could be fast so that they can rapidly respond to environmental cues. To understand how cancer cells send molecular signals to immune cells to make them more cancer-cell friendly, we compared the GRNs of the tumor-infiltrating immune T cells and their corresponding immune cells in blood. We showed that the network size of the tumor-infiltrating immune T cells' GRNs was reduced when compared to the GRNs of their corresponding immune cells in blood. These results suggest that the shutting down certain cellular activities of the immune cells by cancer cells is one of the key molecular mechanisms for helping cancer cells to escape the defense of the host immune system. These results highlight the possibility of genetic engineering of T cells for turning on the identified subnetworks that have been shut down by cancer cells to combat tumors.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.