ArticleFEBS open bio2021
Analysis of the role of Frizzled 2 in different cancer types.
Article in FEBS open bio, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 29 citations in OpenAlex.
- The effects of ingested cellulose nanomaterials on DNA methylation in intestinal cells.Particle and fibre toxicology · 2026Article
- Therapeutic and Prognostic Relevance of Cancer Stem Cell Populations in Endometrial Cancer: A Narrative Review.Diagnostics (Basel, Switzerland) · 2025Review
- Frizzled receptors (FZDs) in Wnt signaling: potential therapeutic targets for human cancers.Acta pharmacologica Sinica · 2024Review
- Stem cell index-based RiskScore model for predicting prognosis in thyroid cancer and experimental verification.Heliyon · 2024Article
- Characterization and impact of non-canonical WNT signaling on outcomes of urothelial carcinoma.Cancer medicine · 2024Article
- The prognostic significance and immune characteristics of bone morphogenetic proteins (BMPs) family: A pan-cancer multi-omics analysis.Technology and health care : official journal of the European Society for Engineering and Medicine · 2024Article
- Integrated weighted gene coexpression network analysis identifies Frizzled 2 (FZD2) as a key gene in invasive malignant pleomorphic adenoma.Journal of translational medicine · 2022Article
- An Overview of Potential Therapeutic Agents Targeting WNT/PCP Signaling.Handbook of experimental pharmacology · 2021Review
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Frizzled 2 (FZD2) is an important receptor in the Wnt pathway, which is highly expressed in malignant tumors and helps regulate multiple tumor behaviors. Its expression level is related to prognosis. Here, bioinformatic analysis was performed to understand the expression of FZD2 in different tumors. We examined FZD2 expression using pan-cancer data of 33 cancer types from The Cancer Genome Atlas (TCGA). Differential expression analysis (Wilcoxon's test) was used to compare tumor and normal tissues. Univariate Cox proportional hazard regression was performed to compare gene expression and overall patient survival. COSMIC, cBioPortal, and CCLE were used to examine FZD2 mutations in human cancers. Dryness index was calculated using one-class logistic regression (OCLR). Spearman's correlation was performed based on gene expression and dryness score and used to analyze the correlation between gene expression and stemness score, matrix score, immune score, estimated score, tumor mutation burden (TMB), microsatellite instability (MSI), and drug sensitivity. STRING website was used to construct an FZD2 protein interaction network and identify genes that interact with FZD2. We report that FZD2 is highly expressed in most tumors, differing between cancer types. Expression was related to patient overall survival (OS), disease-specific survival, disease-free interval (DFI), mutations, drug sensitivity, tumor microenvironment, immune cell infiltration, immune checkpoint gene expression, immunotherapy indicators (TMB, MSI), and tumor cell stemness. FZD2 influenced drug sensitivities, including cobimetinib (r = -0.553, P < 0.001), selumetinib (r = -0.539, P < 0.001), bafetinib (r = -0.538, P < 0.001), tamoxifen (r = -0.523, P < 0.001), alvespimycin (r = -0.520, P < 0.001), and nilotinib (r = -0.502, P < 0.001). FZD2 has the most significant correlation with ROR2 (r = 0.4, P < 0.001), Wnt2 (r = 0.37, P < 0.001), and Wnt4A (r = 0.34, P < 0.001). The results confirm the importance of FZD2 expression in cancer prognosis and treatment, and provide new clues for treatment strategies.
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