J Cancer 2023; 14(17):3214-3226. doi:10.7150/jca.84267 This issue Cite
Review
1. School of Nursing and Health Studies, Hong Kong Metropolitan University, Hong Kong.
2. Department of Pharmacology, State University of New York, Upstate Medical University, Syracuse, New York, USA.
3. Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong.
4. Department of Surgery, University of British Columbia, Vancouver, British Columbia, Canada.
5. Division of Medical Sciences & Graduate Entry Medicine, School of Medicine, University of Nottingham, United Kingdom.
6. School of Nursing, The Hong Kong Polytechnic University, Hong Kong.
7. Division of Science, Engineering and Health Studies (SEHS), College of Professional and Continuing Education, The Hong Kong Polytechnic University, Hong Kong.
Research on Rab-like protein 1A (RBEL1A) in the past two decades highlighted the oncogenic properties of this gene. Despite the emerging evidence, its importance in cancer biology was underrated. This is the first RBEL1A critical review covering its discovery, biochemistry, physiological functions, and clinical insights. RBEL1A expression at the appropriate levels appears essential in normal cells and tissues to maintain chromosomal stability; however, its overexpression is linked to tumorigenesis. Furthermore, the upstream and downstream targets of the RBEL1A signaling pathways will be discussed. Mechanistically, RBEL1A promotes cell proliferation signals by enhancing the Erk1/2, Akt, c-Myc, and CDK pathways while blunting the apoptotic signals via inhibitions on p53, Rb, and caspase pathways. More importantly, this review covers the clinical relevance of RBEL1A in the cancer field, such as drug resistance and poor overall survival rate. Also, this review points out the bottle-necks of the RBEL1A research and its future research directions. It is becoming clear that RBEL1A could potentially serve as a valuable target of anticancer therapy. Genetic and pharmacological researches are expected to facilitate the identification and development of RBEL1A inhibitors as cancer therapeutics in the future, which could undoubtedly improve the management of human malignancy.
Keywords: RBEL1A, GTPase, oncogene, cancer
RBEL1A (Rab-like protein 1A) is also known as Rabl6A (Rab, member of Ras oncogene family-like protein 6A), C9Orf86, FLJ10101, and PARF (Partner of ARF). It is one of the members in the superfamily of Ras GTPases and belongs to Rab (Ras-like protein in the brain) sub-branch based on the protein homology. RBEL1 gene generates at least four isoforms, RBEL1A, RBEL1B, RBEL1C, and RBEL1D. RBEL1A has received more attention recently as a novel GTPase with oncogenic potential in various human malignancies. This is the first RBEL1A critical review covering its discovery, biochemistry, physiological functions, and clinical insights. Furthermore, the upstream and downstream targets of the RBEL1A signaling pathways and the clinical relevance of RBEL1A studies in oncology will be discussed.
RBEL1A was independently characterized by three groups around the same period [1-3]. At first, Lu's group published a short report showing that Esophageal Cancer Related Gene 2 (ECRG2), a tumor suppressor, interacted with a clone FLJ10101 in a yeast two-hybrid library screening [3]. The FLJ10101 clone contained an open reading frame of an uncharacterized protein, but the group had not attempted to characterize whether this gene was expressed in cells. Later, our group found that the putative-translated protein of FLJ10101 was identical to RBEL1A. After the ECRG2 report, Quelle's group reported the discovery of PARF (for Partner of ARF; a synonym for RBEL1A) [1]. Quelle's group was searching for the p19ARF-interacting proteins by using the yeast two-hybrid approach with p19ARF protein as bait, and they identified several p19ARF-interacting proteins; one of them was PARF [1]. p19ARF is a vital tumor suppressor often deleted or suppressed in cancer [4, 5]; hence, identification of PARF-p19ARF interaction shed light on the regulatory roles of RBEL1A on p19ARF tumor suppressor. Although Quelle's group, in their first paper, stated that PARF seemed to be a tumor suppressor protein, they did not further characterize its tumor suppressor function nor its GTPase nature [1].
In about the same period, Huang's group used the computer-based alignment of the Expressed Sequence Tags (ESTs) approach to identify novel proteins dysregulated in human malignancies and/or regulated by stress. One of the open reading frames (ORFs) that they identified contained several conserved regions, namely the “G-motifs,” which were commonly noted in GTPases [2]. Further comparison of the novel ORF revealed its N-terminus exhibiting high similarity with the Ras superfamily proteins, specifically, the Rab subfamily proteins. Accordingly, they named the novel protein RBEL1A (for Rab-like protein 1A) [2]. Huang's group performed functional characterization of RBEL1A and discovered the GTP-binding potential and its GTPase activity in all isoforms. In their initial study, Huang's group reported two RBEL1 variants, RBEL1A and RBEL1B, which were capable of binding and hydrolyzing GTP [2]. Later investigations revealed that the amino acid sequences corresponding to RBEL1A and PARF were identical; thus, RBEL1A discovered by Huang's group, PARF discovered by Quelle's group, and FLJ10101 discovered by Lu's group were essentially the same protein. Furthermore, Huang's group was the first to report the overexpression pattern in cancers and the oncogenic potential of RBEL1A. Their finding was further supported by a robust demonstration of the overexpression pattern of RBEL1A in primary cancer specimens of various human malignancies [2]. Subsequent findings also discovered that RBEL1A suppresses p53 tumor suppressor proteins [6]. After their original reports, multiple groups have subsequently added experimental evidence to support the notion that RBEL1A is functioning like an oncogenic protein but not a growth suppressor protein, as opposed to the earlier speculation by Quelle's group [1]. The key information of RBEL1A-related literature (2003-2022) and the cancer types manifested by RBEL1A overexpression are summarized in Table 1 and 2, respectively. The functional studies of RBEL1A in normal fibroblasts and Schwann cells are also included in Table 2. We will further discuss the functions of RBEL1A, particularly in the cancer field, in the later part of this review.
A diagram showing different domains in the four isoforms expressed from the RBEL1 gene (RBEL1A-D). The number on top of each isoform depicts each domain's amino acid position. Except for the gray regions that do not show specificity, other differently shaded/colored regions represent specific domains within the isoforms.
The emerging roles of RBEL1A in cancer biology (A) and general biology (B) reported in the past two decades.
Year | Key functions/findings of RBEL1A | Reference(s) |
---|---|---|
A. Cancer-related field | ||
2003 | FLJ10101 (RBEL1A) interacts with Esophageal Cancer Related Gene 2 (ECRG2) in a yeast two hybrid screening. | [3] |
2006 | PARF (RBEL1A) interacts with p19ARF in a yeast two hybrid screening. | [1] |
2007 | RBEL1A and RBEL1B isoforms have been cloned and characterized. RBEL1A is overexpressed in cancer. | [2] |
2009 | RBEL1A increases Erk1/2 survival signaling while its knockdown increases caspase 3 activation to induce apoptosis in breast cancer. | [23] |
2013 | RBEL1A inhibits p53 by increase in MDM2-mediated proteasomal degradation. | [26] |
RBEL1A is crucial in centrosome regulation and chromosomal stability in mouse p19ARF (p14ARF is the human ortholog) and p53 independent manner. | [41] | |
High levels of RBEL1A act as a biomarker in breast cancer patients, while down-regulation of RBEL1A prohibits cell proliferation, invasion and cancer growth. | [77] | |
RBEL1A increases resistance to Oxaliplatin treatment in pancreatic cancer. | [39] | |
2014 | RBEL1A increases pancreatic cancer cell proliferation by promoting G1-S phase transition in a Rb1-dependent manner. | [43] |
2015 | RBEL1A inhibits p53 oligomerization via interaction with p53 tetramerization domain. | [6] |
2016 | C9Orf86 (RBEL1A) expression is a poor prognosis marker for non-small cell lung cancer. | [54, 78] |
RBEL1 (RBEL1A) increases cell proliferation of osteosarcoma by inhibiting Rb. | [47] | |
2018 | RBEL1A is up-regulated by cisplatin and inhibits p53 transcription activity leading to decrease in chemosensitivity of cancer to the drug treatment. | [79] |
Treatment of Melicope ptelefolia leaf extract with the 2 cancer cell lines (HCT116 colorectal cancer and HepG2 hepatocellular cancer) shows down-regulation of RBEL1A and concomitantly up-regulation of p53 gene expressions. | [87] | |
2019 | RBEL1A suppresses PP2A tumor suppressor and activates AKT signaling in pancreatic cancer. | [48] |
2020 | RBEL1A drives the formation of malignant peripheral nerve sheath tumors (MPNST) in Rb-dependent manner. But, this type of cancer is sensitive to treatment of CDK4/6 inhibitors. | [88] |
Up regulation of RBEL1A mRNA and proteins is found in human esophageal cancer biopsies, which correlates with poor prognosis. | [40] | |
2021 | High RBEL1A expression in sarcoma patients shows a faster metastatic rate. RBEL1A is linked to p53-MDM2 axis and potentially regulated by Hippo pathway involving YAP and TAZ. | [50] |
RBEL1A increases Schwann cell's proliferation by regulating Rb. | [51] | |
Loss of RBEL1A expression in RIP-Tag2 (RT) insulinoma mouse model shows a slower progression of pancreatic tumor formation and angiogenesis, suggesting RBEL1A is crucial in cancer proliferation and angiogenesis. | [52] | |
Combination of CDK4/6 inhibitor and Rb inhibition may achieve therapeutic outcome to treat malignant peripheral nerve sheath tumors that overexpress RBEL1A. | [49] | |
Expression of androgen receptor in hepatocarcinoma reduces RBEL1A expression which in turn suppresses invasion and migration. Androgen receptor inhibits RBEL1A's activating miRNA miR-122-5p. | [8] | |
2022 | RBEL1A drives progression of NF1-associated malignant peripheral nerve sheath tumors. | [53] |
Circular RNA (circTMC5) is up-regulated in gastric cancer, leading to down-regulation of miR361-3p, subsequently up-regulation of RBEL1A and inhibition of apoptosis. RBEL1A regulates immune cells and their infiltration processes. | [9] | |
B. Other fields | ||
2011 | Mutation in C9orf86 (RBEL1A) is a candidate gene for recessive cognitive disorders. | [99] |
2015 | High RBEL1A protein level is detected in patients' sera infected with Knowlesi malaria. | [100] |
2016 | RBEL1A is not a cause of the early onset of rare development disorder in brain. | [101] |
2016 | RBEL1A knockdown increases bacterial infection of HT-29 cells by T3SS2 V. parahaemolyticus through affecting the sulfation in a CRISPR/Cas9 screen. | [102] |
A table showing various cancer types and normal tissues/cells that RBEL1A regulates.
Cancer type | References |
---|---|
Breast | [2, 6, 26, 77, 79] |
Colon | [2] |
Esophagus | [40] |
Liver | [8] |
Lung | [54, 78] |
Stomach | [9] |
Osteosarcoma/sarcoma | [50] |
Pancreas | [39, 43, 52, 103] |
Neuronal (peripheral nerve sheath tumors) | [49, 53, 88] |
Normal tissue type | References |
fibroblasts | [41] |
Schwann cells | [51] |
RBEL1 gene is located on human Chromosome 9q34.3, and its genomic sequence corresponds to 33,266 bases. Although the promoters and enhancers of the RBEL1 gene have not been characterized experimentally, its regulatory sequences have been analyzed and predicted by the GeneHancer bioinformatics algorithm in the public domain [7]. By the in silico prediction, the promoter region is predicted to be present at ~1.5 kb upstream from the transcription start site (TSS) and 0.9 kb downstream from the TSS, while the enhancer is 446 kb upstream from the TSS. These cis-acting elements are predicted to be regulated by at least 276 transcription factors and regulatory proteins, such as c-Myc, YY1, FoxM1, Rb, E2F1, E2F5, E4F1, MTA2, HDAC1 & HDAC2, ESR1 (estrogen receptor alpha), ERR1 (estrogen receptor-related receptor alpha), stat1, stat3, and stat5. Many of these transcription factors and regulatory proteins are deregulated in cancer and therefore potentially implicate in the overexpression of RBEL1A gene in cancer malignancies. Yet, the exact mechanisms underlying the regulation of RBEL1A remain to be investigated.
Besides the regulation of gene expression by transcription factors, RBEL1A expression has been demonstrated experimentally being regulated by three non-coding RNAs, i.e. microRNA miR-122-5p (positive regulator) [8], miR-361-3p (negative regulator) [9], and circular RNA circTMC5 (positive regulator) [9]. In recent years, growing evidence has shown that non-coding RNAs play an essential role in gene expression regulation, and dysregulation of many of these RNAs lead to diseases, including cancers. Non-coding RNAs can act as tumor suppressors [10, 11], while many others behave as oncogenes [12-17], or some RNA species can be both depending on the circumstances [18]. Recently, miR122-5p has been shown to act as an oncogene by targeting the 3' untranslated region (3'UTR) of RBEL1A's mRNA to up-regulate its expression, but this up-regulation can be disrupted by androgen receptor [8]. In general, miRNAs targeting mRNA' 3-UTR is believed to block the translation of the mRNA; however, the authors had not further demonstrated how targeting 3'UTR is able to up-regulate RBEL1A's expression. On the other hand, a study has shown that miR-122-5p acts as a tumor suppressor by up-regulating tumor suppressor p53 level, exerting anti-proliferative force to cells [19]. It is of interest to determine the interrelationship among them in the RBEL1A-miR122-5p-p53 axis in the future to examine the bifunctional roles of miR122-5p in cells.
Furthermore, recent studies have shown that circular RNAs (circRNAs), a form of closed-loop RNA generated from RNA splicing process, play important roles in regulation of biological processes. Many studies have revealed that circRNAs regulate gene expression by various mechanisms, such as binding to the translation complex and affecting the mRNA turnover rate via sponging (binding) with microRNA, preventing the formation of inhibitory miRNA-mRNA complex [20]. Aberrant changes in levels of circRNAs have been linked to carcinogenesis [21]. It has been found that circRNA-TMC5 (circTMC5) is overexpressed in gastric cancer and one study [9] has demonstrated that this up-regulation has a significant correlation with the overexpression of RBEL1A in gastric cancer patients' tumor samples. The authors have further elucidated that circTMC5 increases RBEL1A expression by sponging with RBEL1A's inhibitory miRNA-361-3p [9]. The up-regulation of RBEL1A in gastric cancer agrees with Huang's previous observation published in 2007 [2]. As non-coding RNAs apparently become the essential gene regulators, we have attempted to use an open resource computational algorithm CircNet 2.0 to predict a few potential RBEL1A's regulatory miRNAs [22]. It shows that miR-1226-3p, miR-425-5p, miR-222-3p, miR-191-5p, miR-10a-5p, miR-484, and let-7e-5p are potential RBEL1A's regulators, and all these miRNAs are up-regulated in the majority of cancers in the database. An up-regulation of these miRNAs, a few if not all, may cause the RBEL1A overexpression in cancers. The ultimate causes of RBEL1A overexpression in cancers warrant further investigation.
Huang's group initially reported the identification of two isoforms, they named them RBEL1A and RBEL1B. RBEL1A was longer, whereas RBEL1B was shorter and deficient in some sequences towards the C-terminal side, probably due to alternative RNA splicing. Subsequently, Huang's group reported additional two RBEL1 variants, namely RBEL1C and RBEL1D [23], and altogether all four RBEL1 variants (isoforms A, B, C & D) shared an identical N-terminal GTPase domain but were different at the C-terminal ends (shown in Figure 1). Thus, the RBEL1 gene expressed four alternatively spliced isoforms, i.e., RBEL1A, RBEL1B, RBEL1C, and RBEL1D [23]. The mRNAs of all the RBEL1 variants contained identical exon 1 to exon 6 but harbored different 3' ends created by different splicing points. Overall, the RBEL1A variant comprised 15 exons and was translated to a protein of 729 amino acids (a.a.); RBEL1B variant contained 10 exons and was translated to a protein of 520 amino acids, RBEL1C variant had 8 exons that coded for a protein of 314 amino acids, and RBEL1D variant contained 7 exons that coded for a protein of 257 amino acids. All isoforms, except RBEL1B, could be detected in cancer by immunoblots using the polyclonal antibody that recognizes the antigenic region in the GTPase domain (NH2-ALKKLVGSDQAPGRDKN-COOH, 4-20 a.a.). RBEL1A contained a Rab-like GTPase domain (39-235 a.a.) at its amino terminus, followed by a unique proline-rich region (293-617 a.a.), and a nuclear localization signal sequence (NLS, 652-701 a.a.) at its carboxyl terminus. The N-termini of all isoforms shared the identical Rab-like GTPase domain, but their C-termini were different. For example, RBEL1B contained no NLS and harbored a truncated proline-rich region. RBEL1C contained only the GTPase domain with a potential CAAX motif that was predicted to be crucial for the membrane association, while RBEL1D contained the GTPase domain only.
Huang's data showed that RBEL1A was predominantly localized in the cytoplasm with punctate feature while approximately 25% of cells showed nucleocytoplasmic localization [1, 23], but the significance of such distribution remained to be elucidated. This punctate feature of RBEL1A cellular localization pattern somewhat resembled to a few Rab proteins, such as Rab8 and Rab13 [24]. Although RBEL1A and RBEL1B were both constitutively GTP-bound, RBEL1A was predominantly expressed in cytoplasm while RBEL1B was predominantly expressed in nucleus. More interestingly, a single point mutation at amino acid position 57 (T57N, threonine to asparagine alteration) that disrupted the guanine nucleotide (GTP or GDP) binding in the RBEL1B blocks RBEL1B's nuclear localization, suggesting that the binding of GTP or GDP might affect the RBEL1B's nucleocytoplasmic shuttling. This nucleocytoplasmic shuttling was probably controlled by the GTPase activity via cycling of GTP and GDP binding [2]. However, the T57N mutation in RBEL1A did not show significant effect because wild-type RBEL1A was predominantly localized in the cytoplasm. It is still unclear what role does the nucleocytoplasmic shuttling of RBEL1A and RBEL1B play in cells and its regulation mechanism is still unknown.
All RBEL1 isoforms contain a N-terminal GTPase domain which shows high homology to guanine nucleotide (GTP/GDP) binding regions similar to many Rab proteins. Although all RBEL1 isoforms contain identical GTPase domain, it has been experimentally shown that RBEL1A and RBEL1B are predominantly GTP-bound, while RBEL1C and RBEL1D are predominantly GDP-bound [23]. The difference in guanine nucleotide binding is mostly influenced by the protein sequence following the GTPase domain. It has been demonstrated that the region at 236-302 a.a. of RBEL1A is crucial for its GTP association, while deletion of this region switches the GTP-binding to GDP-binding. The switching of GDP to GTP binding in a GTPase is known to turn on the protein function from the “OFF” state to the “ON” state in the Ras-family GTPases and vice versa [25, 26]. The switching is tightly controlled by two classes of effector proteins, namely nucleotide exchange factors (GEFs) and GTPase activating proteins (GAPs) [27]. The GEF proteins facilitate the binding of the GTP (“ON” state) in the GTPase, while the GAP proteins trigger the hydrolysis of the GTP to GDP (“OFF” state) in a GTPase [25, 28, 29]. These proteins have been demonstrated to bind with the Switch I and II regions within the GTPase to trigger conformational changes in the guanine-nucleotide binding pocket of the GTPase [30, 31]. These two classes of effector proteins are keys to control the switching of the “ON” and “OFF” states of a GTPase [32]. However, the GEF and GAP of RBEL1A have not been identified yet; thus, the functional underpinning of the switching between GDP-binding to GTP-binding remains to be explored.
RBEL1A contains a long stretch of basic amino acids (underlined) within position 652-701 a.a. (NH2-KEKKKKKKKGKEEEEKAAKKKSKHKKSKDKEEGKEERRRRQ QRPPRSRER-COOH) at its carboxyl terminus, similar to K-Ras isoform B within position 167-184 a.a. (NH2-KEKMSKDGKKKKKKSKTK-COOH). The polybasic region has been shown to be important for membrane association [33]. Likewise, our biochemical analysis shows that RBEL1A is loosely associated with membrane [23], similar to many Rab proteins as they direct many membrane trafficking events [34]. The RBEL1A polybasic amino acid sequence overlaps with the canonical nuclear localization signal (NLS) within position 652-701 a.a., which has been confirmed to associate with p19ARF [1]. RBEL1A is predominantly localized in the cytoplasm; the NLS of RBEL1A is anticipated to contribute to its dynamic shuttling between cytoplasm and nucleus [1, 23].
Glycoproteomic research is a new emerging field in studying the effects of glycan modifications to proteins [35], as it has been shown that glycan modifications affect many protein functions such as protein folding, stability [36, 37], protein subcellular compartment localization [35], and receptor signaling [38], etc. Previously, Huang's group has demonstrated that RBEL1A exists in two forms, the glycosylated and unglycosylated forms, by membrane fractionation assays. The glycosylated-RBEL1A exhibits in the 125-130 kDa size range, whereas the unglycosylated-RBEL1A appears to be in the 95-100 kDa size range when analyzed by immunoblotting using the polyclonal antibody as described in section B2 in this review. They have demonstrated RBEL1A is modified by the O-linked N-acetylglucosamine glycosylation which is usually attached to serine or threonine amino acid residue on protein [2]. Interestingly, Quelle's group has only reported a single RBEL1A form by immunoblot analysis [8, 39, 40]. After analyzing all the published data, we provide two possible explanations for such a difference. First, it is possible that different antibodies may have slightly different antigen recognition capabilities that the polyclonal antibody recognizes the two forms, whereas the other antibody detects only one form because the latter one is a monoclonal antibody. Secondly, the two species of RBEL1A might have overlapped in very close proximity in the immunoblot that the two distinct bands could not be recognized, perhaps due to insufficient acrylamide concentration in the separating gels. Smear and multiple band-like signals have sometimes been noted in the raw data in some publications [39, 41-43]. Hence, validation of the RBEL1A antibody is particularly important to identify unmodified RBEL1A and modified RBEL1A (glycosylation and other post-translational modifications).
Canonical Rab protein is crucial for vesicular trafficking processes in which the dynamic of the membrane association and dissociation of Rab protein is controlled by the cycling of the GTP and GDP in the Rab GTPase [28, 32, 44, 45]. Moreover, the membrane association of Rab is tightly regulated by GDP Dissociation Inhibitor (GDI) protein, and post-translational modification for example, geranylgeranylation [46]. RBEL1A is similar to Rab GTPase in that it is present in both the cytosolic and membrane isolates. Membrane-bound RBEL1A has been shown to loosely associate with cell membrane, while RBEL1B, RBEL1C, and RBEL1D isoforms associate more tightly with the membrane [23]. Moreover, only the glycosylated-RBEL1A associates with cell membrane, while the unglycosylated RBEL1A does not, suggesting that the RBEL1A glycosylation may regulate the membrane attachment and detachment cycle [23]. However, the functional role of its membrane association still remains unclear. Moreover, the difference in the membrane binding potential between the RBEL1A-GTP and RBEL1A-GDP, and whether RBEL1A is regulated by GDI are questions that warrant further investigations.
The RBEL1A's functions and its signaling network are summarized in Figure 2 and the major achievements in RBEL1A research have been summarized in Table 3.
A schematic diagram showing the signaling network of RBEL1A in cancer. RBEL1A plays several key roles in oncogenesis. RBEL1A blocks tumor suppressor p53 by interacting with MDM2 which leads to proteasomal degradation of p53 [26], hence it blocks the expression of p21, a p53-regulated cell proliferation inhibitor. Besides MDM2-mediated p53 inhibition, RBEL1A binds to the tetramerization domain of p53 to block the formation of active p53 tetramers [6]. Also, RBEL1A blocks the apoptotic caspase 3 activation and the expression of p27, a cyclin-dependent kinase inhibitor. With lower expression of p27, cyclin D and Cyclin-dependent Kinase 2, 4, 6 (CDK2, CDK4, CDK6) are more active, which leads to the inhibition of tumor suppressor Retinoblastoma protein (Rb) [47], facilitating cell cycle progression. Also, it has been found that depletion of RBEL1A leads to CDK2-mediated hyperphosphorylation of nucleophosmin (NPM) in p53 null normal murine fibroblasts, leading to chromosome instability [41]. RBEL1A inhibits Phosphatase 2A (PP2A) to increase protein kinase B (Akt) activation, and subsequently to activate Mammalian Target of Rapamycin 1 (mTOR1) protein to promote cell growth [48]. Also, PP2A's inhibition attenuates Rb function to facilitate cell cycle progression. RBEL1A activates Extracellular Signal-Regulated Kinase 1/2 (Erk1/2) which leads to activation of c-Myc to enhance proliferation signal. Three non-coding RNAs (two microRNAs and one circular RNA) have been found to regulate RBEL1A expression: (1) miR122-5p increases the expression of RBEL1A [8], but miR122-5p is down-regulated by androgen receptor (AR), leading to decrease in RBEL1A; (2) CircTMC5 up-regulates RBEL1A expression by inhibiting miR-361-3p [9], an inhibitory microRNA to RBEL1A expression. Studies have shown that various small molecule inhibitors, such as inhibitors of MDM2, CDK, AKT, mTOR1, MEK (mitogen-activated extracellular signal-regulated kinase) [42, 49] and PP2A activator [48] are potentially effective in eliminating RBEL1A overexpressing cancers. The glycosylated and unglycosylated RBEL1A are both present in cytoplasm, but only the glycosylated RBEL1A (shown on the lower left) is loosely attached on cellular membrane, such as endoplasmic reticulum. Two RBEL1A interacting proteins (p19ARF [1] and Esophageal Cancer-Related Gene 2 protein (ECRG2) [3]) have been identified, RBEL1A inhibits p19ARF, but the functional significance of ECRG2-RBEL1A interaction remains unclear. Also, the expressions of the transcription regulator YAP and TAZ have been shown positively linked to RBEL1A in the clinical samples [50], but the mechanism of their molecular interaction is still unknown.
RBEL1A protein is widely expressed in many tissues and its homologs are conserved across various species including humans, rhesus monkeys, rodents, chickens, frogs, zebra fishes and mosquitoes. Thus, RBEL1A is an important protein that has been conserved during evolution. It has been shown that RBEL1A is crucial for chromosome stability, because silencing of RBEL1A in normal mouse fibroblasts (MEFs) appears to show aneuploidy, multi-nucleation [41], and senescence [51]. Abnormal chromosome duplication has also been detected when RBEL1A and p53 are co-silenced in the MEFs [41]. On the contrary, the knockout (KO) mice generated by Quelle's group seem to be viable and fertile in their later studies [52]. The group has crossed the RBEL1A KO mice with other types of KO mice to generate double KO mice, such as RIP-Tag2 (RT2) insulinoma model [52], and to generate RBEL1A+Nf1+p53 [53] and RBEL1A+Nf1+Cdkn2a triple KO mice [53]. They found that pancreatic tumors [52] and malignant peripheral nerve sheath tumors (MPNSTs) [53] developed much more slowly without RBEL1A, suggesting that RBEL1A is important in cancer progression.
A table showing the main achievements of RBEL1A's studies.
Major achievements | References |
---|---|
1. RBEL1A was overexpressed and up-regulated in various types of cancer and it plays a role in carcinogenesis. | [2, 40, 42, 43, 47, 48, 52, 77] |
2. Higher RBEL1A expressing cancers were more resistant to chemotherapy. RBEL1A expression was a poor-prognosis marker for cancer patients. | [39, 40, 54, 78, 79] |
2. RBEL1A was linked to the regulation of tumor suppressor p53. RBEL1A inhibited tumor suppressor protein p53 via two mechanisms: (i) RBEL1A interacted with MDM2 to increase p53 degradation. (ii) RBEL1A interacted with p53 tetramerization domain to prevent p53 tetramer formation. | [6, 26, 50, 79, 87] |
3. RBEL1A blocked tumor suppressor retinoblastoma (Rb) function. | [42, 49] |
4. RBEL1A increased cancer cell proliferation via an increase in phosphorylation of Erk1/2, and subsequently activation of c-Myc. Also, RBEL1A increased Akt phosphorylation and subsequently activation of mTOR1. | [23, 48, 52] |
5. RBEL1A's expression was regulated by three non-coding RNAs (2 microRNAs and 1 circular RNA): miR122-5p and CircTMC5 up-regulate RBEL1A, while miR361-3p down-regulates RBEL1A. | [8, 9] |
RBEL1A is overexpressed in various primary human cancers. For example, Huang's group reported RBEL1A was overexpressed in 67% of breast cancers, 47% of colon cancers and ~21-25% of uterine, ovarian and stomach cancers [2]. The overexpression of RBEL1A has also been reported by other laboratories in different malignancies, such as in pancreatic [39], lung [54], bone [47], esophagus [40], liver [8], stomach [9], and neuroendocrine cancers [42]. Based on these studies, it is reasonable to suggest that appropriate expression level of RBEL1A is vital for normal tissue homeostasis, but its overexpression could play a promoting role in cancer development and/or progression. These data suggest that cells have to maintain a balanced RBEL1A level, but either too high or too low expression is likely to cause abnormality in cells. To date, a series of results have shown that the RBEL1A overexpression enhances pro-survival signaling pathways and inhibits the tumor suppressor functions as will be discussed in the next sections.
RBEL1A is important in enhancing cell survival by activating pro-survival signaling pathways via manipulating phosphorylation on Erk1/2 and Akt kinases. Overexpression of RBEL1A increases pro-survival Erk1/2 activation via p44/p42 phosphorylations [23]. These phosphorylation signals drive cell cycle progressing from G1 to S phase, while at the same time inactivating the expression of anti-proliferative genes [55]. On the other hand, knockdown of RBEL1A decreases the pro-survival Erk1/2 phosphorylations [43] and increases in cell-cycle inhibitory p27KIP1 expression [42], and thus resulting in increase of cell cycle arrest at the G1 phase. Moreover, RBEL1A KO cells showed a decreased pro-survival phosphorylation of Akt (Akt-S473) which was caused by an increase in de-phosphorylation activity mediated by protein phosphatase 2A (PP2A) [48]. Phosphorylation of Akt (Akt-S473) is known to activate Akt function; on the contrary, de-phosphorylation at the same site by PP2A turns off Akt function, decreasing cell proliferation [56]. Knockdown of RBEL1A is also coupled with caspase 3 activation and apoptosis concomitantly [23, 39, 43]. It has also been reported that deletion of RBEL1A significantly retarded pancreatic cancer formation in RBEL1A KO mice, possibly due to concurrent down-regulation of pro-survival c-Myc pathway and up-regulation of tumor suppressor p19ARF [52]. Quelle's group has further demonstrated the knockdown results, aligning with their KO experiments, that silencing RBEL1A significantly down-regulated c-Myc expression [52]. Altogether, RBEL1A is a significant driving force in cell proliferation.
Recently, Quelle's group has generated two MPNST triple gene-knockout models (RBEL1A+Nf1+Cdkn2a and RBEL1A+Nf1+p53) which were created by crossing the RBEL1A KO mice with the double KO mice generated by CRISPR-Cas9 gene editing [53]. As expected, they have observed a slower tumor growth in the triple-gene KO models when compared with the controls in which RBEL1A was intact. In addition, they have observed a down-regulation of the YAP oncoprotein, which is a transcription factor dysregulated in Hippo-related pathway in cancer [57]. Furthermore, a positive correlation between RBEL1A and YAP expressions has been observed in the sarcoma tissue array containing 163 clinical samples, and these two proteins have been proposed to be controlled under Hippo kinase regulation [50]. However, any causality between RBEL1A and Hippo pathway needs to be confirmed. Furthermore, the high c-Myc expression has been detected in tumors coming from RBEL1A+Nf1+Cdkn2a or RBEL1A+Nf1+p53 triple KO mice [53] and this result contradicted with the previous observation of a decrease in c-Myc in RBEL1A knockdown and KO cells [52]. Quelle's group has hypothesized that cells could not survive under RBEL1A deletion context, but tumors evolve eventually due to a survival selection pressure to cells which harbor proliferation advantages, such as higher expression of c-Myc, polyploidy and atypia [53]. The hypothesis deems further investigation.
RBEL1A has been demonstrated to inhibit two important tumor suppressors, p53 and Rb. It has been shown that RBEL1A physically interacts with p53 and increases its degradation by MDM2-mediated polyubiquitination [26]. The GTPase domain of RBEL1A interacts with the tetramerization domain of p53. Both GTP-bound and GDP-bound RBEL1A interact with p53, but the GDP-bound RBEL1A interacts more tightly with p53 [26]. RBEL1A also negatively regulates p53 function by blocking p53 tetramerization, preventing p53 to form functional tetrameric conformation for transcriptional activities [6]. The expression of RBEL1A leading to aberrant function of p53 is also reflected on the downstream effectors of p53, for example on cyclin-dependent kinase inhibitor p21. Such a negative effect on p53 and the downstream effectors can be reversed upon RBEL1A knockdown [26]. The available experimental evidence indicates that RBEL1A negatively regulates p53 via two mechanisms, (i) promoting the degradation of p53 and (ii) preventing p53 tetramers formation. As p19ARF also interacts with p53, the interactions amongst RBEL1A-p53-p19ARF in cancer biology are an interesting yet unexplored research area.
RBEL1A down-regulates tumor suppressor Rb by increasing Rb phosphorylation, such hyper-phosphorylation of Rb has been hypothesized to be linked to cancer formation [58]. From a mechanistic standpoint, RBEL1A up-regulates cyclin-dependent kinase 2 (CDK2) to achieve Rb hyper-phosphorylation and thereby inhibits Rb tumor suppressor functions. This appears to be another mechanism via which RBEL1A enhances proliferation via deregulation of Rb [42, 43]. Knockdown of RBEL1A reverses these effects together with an up-regulation of cyclin-dependent kinase inhibitor p27KIP1 coupled with increased apoptosis [42, 43]. Collectively, these findings highlight the roles of RBEL1A in deregulation of tumor suppressors via multiple mechanisms.
In addition to its interactions with p53, RBEL1A has been documented to interact with two other proteins namely, p19ARF [1] and ECRG2 [3]. In the case of its interactions with p19ARF, RBEL1A was named the Partner of ARF (PARF) because its carboxyl region comprising 655-693 amino acid residues exhibited direct physical interaction with p19ARF tumor suppressor protein [1]. The functional significance of the protein-protein interactions between RBEL1A and p19ARF has been poorly established. Interestingly, Quelle group's initial finding was that silencing of RBEL1A enhanced cell proliferation, possibly via p19ARF pathway, which led the authors to conclude that RBEL1A might be a tumor suppressor [1]. However, the authors did not provide experimental evidence to support the tumor suppressor function of RBEL1A. By contrast, several lines of published evidence highlight that RBEL1A functions as an oncogene. Thereafter, Quelle's group has published findings overturning their previous claim and agreeing that RBEL1A is indeed an oncogene.
Ras GTPase (Ras) is a well-characterized oncogenic protein discovered more than 40 years ago, and on average about 20% of cancer patients possess Ras mutations, while certain cancer types have higher prevalence rate, such as ≈ 90% in pancreatic cancer and ≈ 50% in colon cancer [59]. In normal cells, external proliferation signals are transduced by activating the receptor tyrosine kinases (RTKs), leading to the activation of SOS protein (Ras-GEF), subsequently to activate Ras by increasing GTP-bound Ras. It has been found that the GTP-bound: GDP-bound ratio in Ras is remarkably higher in cancer patients with Ras mutation, suggesting that the mutations favor the Ras locked on its GTP-bound form, so that the mutated cells are continuously sending out proliferative signals even without external growth signals, thus cancer formation and progression. Recent findings also showed that overexpression of wild-type Ras could drive the formation of cancer, such as chronic lymphocytic leukemia [60, 61]. However, researchers have been struggling to get an actionable Ras inhibitor due to the fact that Ras is a relatively small protein (21KDa) which does not possess deep actionable binding sites for inhibitors to land on it [62]. Therefore, therapeutic approaches to target Ras mutations have to be shifted to its upstream (such as TRK inhibitors, SOS inhibitors) and down-stream signaling molecules (such as BRAF inhibitors and Mitogen-activated protein kinase kinase (MEK) inhibitors). RTK inhibitors (such as Lazertinib [63] and Erlotinib [64]), anti-EGFR RTK monoclonal antibodies (such as Panitumumab [65] and Cetuximab [66]), BRAF inhibitors (such as Vemurafenib, a first FDA-approved inhibitor targeting Ras signaling pathway [67]), MEK inhibitors (such as Trametinib [68]) are the chemotherapeutic drugs that are currently used to treat cancer patients with Ras mutations. Also, SOS1 inhibitors (such as BI-3406 [69], BI 1701963 [70], BAY-293 [71]) and membrane association inhibitors (such as GGTI-2418 [72] and FGTI-2734 [73]) are currently tested in clinical trials with positive preliminary results. After four decades of the discovery of Ras, Sotorasib (AMG510), a Ras targeting drug to inhibit G12C mutation, has been FDA-approved in 2021 [74-76]. Even previously anticipated that no small molecule was able to bind with Ras, Sotorasib has been made to interact with Ras's P2 pocket to lock it in GDP-bound inactive form [76], demonstrating that small molecule targeting Ras is feasible.
Similar to Ras, RBEL1A has been found to be overexpressed in many cancer types, while some cancers preferentially have higher prevalence rate, such as breast (67%) and colon (47%) cancers. A few signaling pathways have been identified crucial in enhancing RBEL1A-driven cell's proliferation, while blocking these pathways have shown cancer growth inhibition effectively. For example, treatments of CDK inhibitors (Dinaciclib alone, Palbociclib alone or combination) have shown significant tumor growth inhibition in malignant peripheral nerve sheath tumor in-vivo model overexpressing RBEL1A [42]. Also, the MK-2206 (AKT inhibitor), Everolimus (mTOR1 inhibitor), small-molecule activator of PP2A (SMAP) have retarded tumor growth in the pancreatic neuroendocrine tumor in vivo model by inhibiting RBEL1A in an Akt-dependent manner [48]. Although these drugs have been shown effective in inhibiting tumor growth, they only target the upstream or downstream signaling molecules of RBEL1A, hence they may not be RBEL1A-specific. So, greater side effects arising from these drug treatments are anticipated, leaving the better option for treating RBEL1A-driven cancers is to develop a small molecule that can directly bind and inhibit RBEL1A. As RBEL1A is a relatively larger protein of 150KDa and 90KDa in size, we hypothesize that the number of potential binding sites in RBEL1A protein for small molecule should be higher than that of Ras protein. So, it is feasible to develop an inhibitor of RBEL1A in the future.
RBEL1A is overexpressed in multiple cancer types and its overexpression has a significant correlation with poor cancer prognosis and overall survival rate of cancer patients. Table 2 summarizes all the cancer types manifested with the oncogenic RBEL1A and Table 3 has shown the major achievements in RBEL1A studies. All studies point to the direction that RBEL1A is associated to poor cancer prognosis and overall survival of cancer patients. RBEL1A overexpression correlates with poor cancer prognosis and shorter life expectancy in patients having cancers of the breast [77], esophagus [40], pancreas [39] and lung [54, 78]. The poor survival rate could be partly due to the development of drug resistance in RBEL1A overexpressing cancers, such as resistance to chemotherapy drugs of cisplatin [79] or oxaliplatin [39]. Intriguingly, it has been shown that the development of drug resistance appears partly involved the p53-dependent mechanism [57, 79]. The p53-dependent cisplatin drug resistance has also been reported in Ras-driven cancers [80, 81]. In RBEL1A overexpressing cancers, the apoptotic signaling of p53 is inhibited as demonstrated by our group, hence it is anticipated that cancer cells still thrive under chemotherapy. From these results, we hypothesize that RBEL1A could serve as a predictive marker of drug resistance in certain chemotherapeutics.
It has also been reported that RBEL1A overexpression correlates with up-regulation of proliferative transcription factor TAZ and YAP expressions in human sarcoma samples, and the authors proposed that all these proteins are regulated under Hippo kinase pathway [50]. Dysregulation in Hippo kinase leading to up-regulations of TAZ and YAP is known to contribute to cancer development [82, 83], but the direct link between Hippo pathway and RBEL1A needs further investigation. In addition, a study has indicated that RBEL1A could possibly play a role in the development of aggressive malignant peripheral nerve sheath tumors (MPNSTs) by increasing mutations in Nf1, a gene that forms neurofibromin which is crucial in nervous tissues to maintain a balanced survival signal in neurons [53]. Nf1 regulates a number of cell signaling pathways, including Ras, MAPK, AKT, mTOR, cAMP, etc [84]. Nf1 is regarded as a tumor suppressor as it switches off cell proliferation signal from Ras by its GAP function, thus dysregulation of Nf1 likely plays a role in cancer formation [85]. Altogether, we hypothesize that RBEL1A overexpression appears to be a marker of aggressive cancers.
RBEL1A is overexpressed in human malignancy, and it deregulates important signaling pathways for example, those controlled by p53, Erk1/2, CDK-Rb that linked to tumorigenesis. Given its oncogenic role, we hypothesize that RBEL1A could potentially serve as a valuable target of anti-cancer therapy. In this context, Idasanutlin, a potential drug that can rescue p53 function by blocking the inhibitory counterpart MDM2, can be used in the RBEL1A overexpressing cancers as a therapeutic [86]. Melicope ptelefolia herbal extract can decrease RBEL1A gene expression in colon and liver cancer cells, suggesting that certain compound(s) in this herb is/are able to inhibit RBEL1A expression in cancers [87] and could be developed as RBEL1A-targeted therapeutic(s). Because RBEL1A knockdown inhibits cancer cell growth as well as trigger cell death [23, 26], we hypothesize that silencing RBEL1A gene expression by small molecule may yield anti-cancer effect. Approaches such as CRISPR/Cas9 technology can be further refined to achieve robust silencing of RBEL1A to target it in human cancers. Recently, palbociclib, a CDK4/6 inhibitor, has been reported to inhibit the tumor growth in RBEL1A overexpressing MPNSTs [42, 88]. It will be desirable to explore the effects of Palbociclib on RBEL1A in RBEL1A overexpressing tumors.
A number of critical questions about RBEL1A remain unanswered in the RBEL1A research. Without such key information, the RBEL1A research is bottle necked.
1. Does the ratio of GTP-bound:GDP-bound RBEL1A have any functional implication in cancer cells? What are the RBEL1A's GEF and GAP proteins? Huang's data have shown that RBEL1A is highly expressed in cancers, which is predominantly (>95%) GTP-bound in cancer cells. However, it is still uncertain whether the ratio of GTP-bound:GDP-bound RBEL1A yields difference in term of the intensity of RBEL1A-driven proliferative signal. Based on the canonical model of Ras GTPases, RBEL1A is locked in its constitutively GTP-bound active form to exert proliferative signals to cells and it can only be assumed that a higher ratio of GTP-bound:GDP-bound RBEL1A results in a higher cellular proliferative activity. If such an assumption is valid, the following question to be asked is which proteins could influence the GTP/GDP binding in RBEL1A. However, the regulation of the GTP/GDP binding of RBEL1A is still not clear. It is still unknown which proteins are RBEL1A's GAP proteins to turn off its function by enhancing its GTP hydrolysis in RBEL1A. Likewise, it is unknown which proteins are RBEL1A's GEF proteins to turn on its function by increasing the exchange of GDP to GTP in the RBEL1A GTPase pocket. Hence, researchers are unable to turn off RBEL1A's functions by locking it in its GDP-bound (inactive) form. Similar to Ras signaling, it is expected that blocking the guanine nucleotide exchange process in the GTPase is able to block RBEL1A's function. For example, inhibitors of SOS proteins (Ras's GEF protein) have been demonstrated to inhibit Ras functions in cells and clinical trials [69-71]. It is possible that blocking RBEL1A's GEF-RBEL1A interaction may yield a similar therapeutic outcome. The area of the regulation of the GTPase activity in RBEL1A is still unexplored, and the identification of the RBEL1A's GEF and GAP proteins is urgently needed to allow direct elucidation of the RBEL1A's functions.
2. What are the post-translational modifications (PTMs) of RBEL1A and their functional significance? The functions of Ras and all other cellular proteins can be regulated by various mechanisms, such as protein PTMs including phosphorylation, ubiquitination, acetylation, etc [89]. For example, phosphorylation of Ras by SRC kinases on tyrosine position 32 and 64 enhances Ras-GAP protein binding to deactivate Ras function [90, 91]. Protein Kinase C (PKC) phosphorylates Ras (KRAS4B) on serine 181 site which is known to block Ras's function by inhibiting the membrane association [92]. Identification of the post-translational modifications of RBEL1A allows further understanding of the RBEL1A regulation. In addition, targeting the specific PTMs allows precise control of the protein functions, for example treating cancer cells with small molecules that target specific PTM for driving proliferative signal is a novel therapeutic approach in future precision medicine [93]. So far, RBEL1A is known to be modified by glycosylation [23], but other RBEL1A's PTM and its downstream signaling molecules are completely unknown. Hence, RBEL1A's PTM data are another pieces of crucial information that are missing and should be collected for the RBEL1A research.
3. What is the protein three-dimensional (3D) structure of RBEL1A? The information of the three-dimensional structure of a protein provides key computational and experimental insights about its biologic activities [94]. For example, the difference in the crystal structures of Ras in GTP-bound (active) and GDP-bound (inactive) forms have demonstrated the conformational changes in the P-loop structures during the activation, providing biochemical detailed explanations about how the signals are transduced to its downstream targets [95], such as the interaction interface between Ras and BRAF, its downstream target, to elucidate the BRAF activation mechanism [96]. Furthermore, it allows inhibitor design that utilizes the 3D-model of the Ras structure to show the docking of the molecules on the protein [97]. Thus, obtaining the protein crystal structure of RBEL1A is highly desirable in RBEL1A research. However, the protein of RBEL1A is a lot more difficult to crystalize than Ras due to the fact that the unglycosylated RBEL1A (90KDa) is ≈ 4 times larger than Ras (21KDa) in size. Our group has attempted to crystalize the full-length as well as the GTPase domain of RBEL1A in the past, but most proteins fell into the insoluble inclusion body. Until recent years, Alpha-Fold, a computational algorithm has been launched to allow structural prediction by using the protein sequence alone [98]. Although the structure of RBEL1A GTPase domain (refer to Figure 1, region in black) can be predicted with high confidence score, the remaining two-third of the structures in the RBEL1A regulatory regions could not be predicted, again failing to provide further RBEL1A structural insight. Thus, the 3D structure of RBEL1A is another key missing information that deserves further research.
In summary, several lines of published evidence indicate that RBEL1A is a protein that possesses oncogenic properties. RBEL1A is overexpressed in human cancers that emerges to predict aggressive malignancy and anticancer drug resistance. Thus, RBEL1A could be a potential biomarker of cancer prognosis and efficacy of chemotherapeutics. The identification of the GEF and GAP regulators of RBEL1A, the post-translational modifications of RBEL1A, the 3D protein structure of RBEL1A will likely speed up the RBEL1A research. Further dissection of the complex wiring of the RBEL1A signaling will provide a clearer picture of oncogenic roles linked to RBEL1A. Finally, the identification and development of RBEL1A inhibitors (e.g., small molecules or herbal extracts) as cancer therapeutics will likely improve the management of human malignancies.
The work described in this paper was partially supported by The Health and Medical Research Fund (HMRF) (18192921) from the Food and Health Bureau, Hong Kong Special Administrative Region (HKSAR) and the Mini grant (R5114) and the R&D grant (RD/2023/1.16) funded by Hong Kong Metropolitan University. This paper was partially supported by SEHS2019-173(E) and SEHS2021-227(E) grants funded by the College of Professional and Continuing Education, an affiliate of The Hong Kong Polytechnic University. We thank Professor Lam Tai Hing for his critical comments in this review.
All authors have contributed substantially in the intellectual work in this review.
The authors have declared that no competing interest exists.
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Corresponding author: Ki Lui, Ph.D. School of Nursing and Health Studies (N&HS), Hong Kong Metropolitan University, Hong Kong. E-mail: akluiedu.hk.
Received 2023-3-13
Accepted 2023-9-12
Published 2023-10-2