ArticleDrug design, development and therapy2023
Comprehensive Analysis to Identify Rh Family C Glycoprotein (
Article in Drug design, development and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 12 citations in OpenAlex.
- RHCG inhibition promotes the sensitivity of PIK3CA-mutant non-small lung cancer to PI3K inhibitor.Histology and histopathology · 2026Article
- Molecular Mechanisms of Mangiferin on Neuroinflammation for Treating Major Depressive Disorder Based on Network Pharmacology and Bioinformatics Analysis.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026Article
- Luteolin Disrupts Keratinocyte-Dendritic Cell Communication in Psoriasis by Targeting Rh Family C Glycoprotein.Mediators of inflammation · 2026Article
- Advancing prognostic and therapeutic prediction in lung squamous cell carcinoma through integrated multi-omics analysis and 117 machine learning combinations.Journal of thoracic disease · 2025Article
- Hypoxia-induced RHCG as a key regulator in psoriasis and its modulation by secukinumab.APL bioengineering · 2025Article
- Identification of cellular senescence-associated genes for predicting the diagnosis, prognosis and immunotherapy response in lung adenocarcinoma via a 113-combination machine learning framework.Discover oncology · 2025Article
- Cooling Blood and Detoxicating Formula Treats Psoriasis Through RHCG-Related Mechanisms.International journal of genomics · 2025Article
- Development and experimental verification of novel angiogenesis related prognostic model and immune infiltration characterization in osteosarcoma.Discover oncology · 2024Article
- Revealing the pathogenesis of gastric intestinal metaplasia based on the mucosoid air-liquid interface.Journal of translational medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Psoriasis is a complex autoimmune disease. Frequent interactions between epidermal and immune cells are likely to be responsible for the strong heterogeneity of psoriasis. Therefore, our work aims to build on current knowledge and further search for new molecular mechanisms related to psoriasis pathogenesis in order to develop new targeted drugs. Methods: Data from psoriasis samples were obtained from the Gene Expression Omnibus (GEO) database, and batch effects were corrected using the "Combat" algorithm in the "SVA" package. Functional annotation of differential genes in psoriasis was performed by Gene set enrichment analysis (GSEA). Core functional modules were identified using the Multiscale Embedded Gene Co-Expression Network Analysis (MEGENA) algorithm for selection from the differential gene interaction network. The expression and potential function of Rh Family C Glycoprotein ( Results: Immune response (represented by C1_2) and collagen matrix formation (represented by C1_3) were identified as two important pathogenic factors in psoriasis and helped to define new biological subtypes of psoriasis. One important psoriasis hub gene, Conclusions: Our study identifies a new causal disease gene (RHCG) and offers potential alternatives for the treatment of psoriasis.
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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 OpenQuestion graph.