| Literature DB >> 34945007 |
Ying Dong1,2,3, Xiaozeng Lin1,2,3, Anil Kapoor1,2,3, Yan Gu1,2,3, Hui Xu4, Pierre Major5, Damu Tang1,2,3.
Abstract
Prostate cancer (PC) is a major cause of cancer death in men. The disease has a great disparity in prognosis. Although low grade PCs with Gleason scores ≤ 6 are indolent, high-risk PCs are likely to relapse and metastasize. The standard of care for metastatic PC (mPC) remains androgen deprivation therapy (ADT). Resistance commonly occurs in the form of castration resistant PC (CRPC). Despite decades of research efforts, CRPC remains lethal. Understanding of mechanisms underpinning metastatic progression represents the overarching challenge in PC research. This progression is regulated by complex mechanisms, including those regulating PC cell proliferation, epithelial-mesenchymal transition (EMT), and androgen receptor (AR) signaling. Among this PC metastatic network lies an intriguing suppressor of PC metastasis: the Raf kinase inhibitory protein (RKIP). Clinically, the RKIP protein is downregulated in PC, and showed further reduction in mPC. In xenograft mouse models for PC, RKIP inhibits metastasis. In vitro, RKIP reduces PC cell invasion and sensitizes PC cells to therapeutic treatments. Mechanistically, RKIP suppresses Raf-MEK-ERK activation and EMT, and modulates extracellular matrix. In return, Snail, NFκB, and the polycomb protein EZH2 contribute to inhibition of RKIP expression. In this review, we will thoroughly analyze RKIP's tumor suppression actions in PC.Entities:
Keywords: RKIP; metastasis; prostate cancer; signaling events
Year: 2021 PMID: 34945007 PMCID: PMC8699807 DOI: 10.3390/cancers13246388
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Factors and pathways that promote PC metastasis and display connections with RKIP.
Figure 2RKIP is a switch in regulating the Raf1-MEK-ERK and GPCR signaling. The dotted regions shows that RKIP can be phosphorylated at serine 153 (S153) by PKC and reversed to non-phosphorylated status by unknown factors marked with “??”. At non-phosphorylated status (#1), RKIP binds Raf1 and inhibits Raf1-MEK-ERK signaling. Non-phosphorylated RKIP does not associated with GRK2, which enables GRK2 to phosphorylate active GPCR, leading to G proteins to dissociate from GPCR and thereby inhibiting GPCR signaling. RKIP(S153P) is unable to bind or dissociate from Raf1 (#2), resulting in activation of the Raf1-MEK-ERK signaling. RKIP(S153P) binds to GRK2 and prevents GRK2 from uncoupling GPCR from G protein, in turn stabilizes the GPCR-G protein complex and promotes GPCR signaling.
Figure 3RKIP regulates immune reactions in vivo. The information presented here was based on literature involving RKIP transgenic mice. (A) Ligation of IgE to FcɛRI on mast cell surface leads to upregulation of EZH2 that inhibits RKIP transcription. The action reduces RKIP-mediated inhibition of PI3K which promotes mast cell activation, leading to the production of proinflammatory cytokines and other factors, followed by allergic asthma [67]. (B) RKIP facilitates T cell receptor downstream signaling events, resulting in the production of INF-γ and IL-6 in CD8+ T cells treated with SEA [69]. (C) Polyinosinic:polycytidylic [poly(I:C)] activates TLR3 (Toll-like receptor 3), leading to phosphorylation of RKIP at S109 (S109P) which binds to and activates TBK1 (TANK-binding kinase 1); TBK1 promotes the production INF-γ, TNF-α, and IL-6 [71]. VSV (vesicular stomatitis virus) and HSV (herpes simplex virus) infections induce phosphorylation of RKIP at S109 by TBK1, which then binds to TBK1, facilitates TBK1 autophosphorylation, and enhances TBK1 activity which in turn contributes to INF-γ and TNF-α production [72].
Figure 4No apparent downregulation of RKIP mRNA expression in PC. (A–C) Images were generated using the UALCAN platform. (D) The graph was produced using the GEPIA2 platform. TPM: transcript per million. (E) RKIP mRNA expression in distant metastases (Mets) and primary PCs. The image was generated using the Sawyers dataset within the R2: Genomics Analysis and Visualization platform.
Figure 5Negative associations of RKIP expression with the indicated immune checkpoints, CSF1R, and Treg (T regulatory cells). Images were produced using TISIDE. Spearman r (correlation coefficient) for the individual correlations are indicated. TCGA dataset (n = 498) was used.
Negative correlations between RKIP and PD-L1 and PD-L2 in cancers a.
| Cancer Type | Population ( | Spearman r | |
|---|---|---|---|
| Bladder uroghelial carcinoma | 408 | −0.432 b; −0.469 c | <2.2 × 10−16; <2.2 × 10−16 |
| Breast cabcer | 1100 | −0.41; −0.4 | <2.2 × 10−16; <2.2 × 10−16 |
| Lung adenocarcinoma | 517 | −0.428; −0.325 | <2.2 × 10−16; 4.47 × 10−14 |
| Rectum adenocarcinoma | 167 | −0.414; −0.36 | 3.66 × 10−8; 2.09 × 10−6 |
| Thyroid carcinoma | 509 | −0.55; −0.415 | <2.2 × 10−16; <2.2 × 10−16 |
a: analyses were performed using TISIDE; b: correlation with PD-L1; c: correlation with PD-L2.