| Literature DB >> 35178201 |
Nasim Hafezi1,2, Reza Alizadeh-Navaei3, Monireh Golpour1,2, Parisa Zafari1, Abolghasem Ajami1,2,4.
Abstract
BACKGROUND: Frizzled receptors (FZD) play a pivotal role in the initiation and progression of a wide array of cancers. Dysregulated expression of FZD receptors is correlated with higher metastasis and invasive potential, as well as short survival in many malignancies. In this meta-analysis, we aimed to verify the prognostic value of FZD receptor expression on patients' survival with different types of gastrointestinal (GI) cancers, including gastric, colorectal, and esophageal cancers.Entities:
Keywords: Expression gastrointestinal cancer; Frizzled receptor; Survival
Year: 2022 PMID: 35178201 PMCID: PMC8797823 DOI: 10.22088/cjim.13.1.1
Source DB: PubMed Journal: Caspian J Intern Med ISSN: 2008-6164
Figure 1Flow chart of the selection process of eligible studies
Characteristics of the included studies
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| Cao et al., 2017( | Fzd7 | ESCC | Microarray-IHC | >192.5a | 165/87 | 0.06 | 0.11 | 1.708 (1.234-2.363) | 1.709 (1.235-2.365) | Max 63.33 | 9 |
| Li et al., 2018( | Fzd7 | GC | IHC | IRS>4 | 100/151 | 0.30 | 0.65 | 2.489 (1.767-3.507) | 1.681 (1.153-2.45) | Max 150 | 9 |
| Schmuck et al., 2011( | Fzd7 | GC | Microarray-IHC | IRS≥1 | 131/229 | 0.03* | 0.1* | NA | NA | Max 127.2 | 7 |
| Freiin Grote et al., 2019( | Fzd7 | GC | IHC | IRS≥4 | 44/52 | 0.31* | 0.28* | NA | NA | Max 120 | 7 |
| Luo et al., 2019( | Fzd7 | GC | RNA- seq | NA | 204/204 | 0.21* | 0.45* | 1.56 (1.1-2.22) | NA | Max 125 | 6 |
| Cheng et al., 2019( | Fzd7 | GC | RNA-microarray | NA | 301/330 | 0.4* | 0.52* | NA | NA | Max 152.4 | 6 |
| Pi et al.,2020( | Fzd7 | GC | IHC | NA | 40/39 | 0.25* | 0.4* | NA | NA | Max 110.8 | 7 |
| Ye et al., 2019( | Fzd7 | CRC | IHC | NA | 68/46 | 0.25* | 0.82* | 2.459 (1.177-5.263) | 1.606 (0.73-3.532) | Max 106 | 9 |
| Ueno et al., 2009( | Fzd7 | CRC | Real-time PCR | c | 12/109 | 0.62* | 0.86* | NA | NA | Max 105 | 7 |
| Fu et al., 2020( | Fzd2 | EAC | IHC | IRS≥2 | 69/31 | 0.14* | 0.31* | NA | NA | Max 98 | 7 |
| Li et al., 2019( | Fzd4 | GC | NA | NA | 292/100 | 0.25* | 0.41* | NA | NA | Max 125 | 7 |
| Zhang et al., 2020( | Fzd6 | ESCC | IHC | d | 15/80 | 0.14 | 0.37 | 2.053 (1.221-3.45) | 2.541 (1.482-4.356) | MED 30 | 8 |
| Xu et al., 2016( | Fzd8 | CRC | IHC | IRS≥4 | 35/28 | 0.54* | 0.85* | 4.46 (1.51-13.19) | 3.55 (1.17-10.79) | Max 92 | 8 |
| Wong et al., 2013( | Fzd3 | CRC | ICC | >327 b | 27/8 | 0.34* | 0.78* | NA | NA | Max 42 | 6 |
Abbreviations: CRC: colorectal cancer, ESCC: esophageal squamous cell carcinoma, GC: gastric cancer, HR: hazard ratio, IHC: Immunohistochemistry, ICC: Immunocytochemistry, M: multivariate, Max: maximum, MED: median, NA: not available, OS: overall survival, U: univariate, a: IHC score, b: ICC score, c: >mean of all case, d: score of 2 + and 3 +, * estimate manually from Kaplan Meier curve
Fig 2Forest plot of OS in all GI cancer patients is associated with: A. univariate HR for OS, B. multivariate HR for OS, C. high FZD expression, D. low FZD expression
Fig 3Forest plot of OS in all GI cancer patients is associated with: A. high FZD7 expression, B. low FZD7 expression
Fig 4Forest plot of OS in EC, GC, and CRC patients is associated with: A. high FZD expression, B. low FZD expression
Fig 5A. In canonical pathway, binding of a Wnt ligand to a frizzled receptor triggers a signaling cascade contributes to beta-catenin translocation to the nucleus. Beta-catenin binds to the T-cell factor/lymphoid enhancer factors (TCF/LEFs) transcription factors mediating the upregulation of Wnt target genes. In the absence of Wnt ligands, cytoplasmic beta-catenin molecules bind to a destruction complex which phosphorylates and targets β-catenin for proteasomal degradation. B. In non-canonical Wnt/planar cell polarity (PCP) pathway, the binding of Wnt ligands to frizzled receptors activates Rho and Rac small GTPases leading to the cytoskeletal changes and gene transcription. In Wnt/Ca2+ pathway, PLC (phospholipase C) activation leading to the release of intracellular Ca++, then activates Ca++ dependent signaling pathways like CaN (calcineurin) /NFAT (nuclear factor of activated T cells) (Figure was constructed using Biorender (https://biorender.com))