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Chasing Circulating Biomarkers in Renal Cell Carcinoma: the Case of Extracellular Vesicles and their miRNA Cargos

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28 April 2023

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Abstract
Renal cell carcinoma (RCC) is the second most common cancer of the urinary system. The current therapeutic strategies are based on partial or total nephrectomy and/or targeted therapies based on immune checkpoint inhibitors to which patients are often refractory. Preventive and screening strategies are not existing and the few available biomarkers for RCC are characterized by the lack of sensitivity, outlining the need of novel noninvasive and sensitive biomarkers for an early diag-nosis and a better disease monitoring. Blood liquid biopsy (LB) is a non- or minimally invasive procedure for a more representative view of tumor heterogeneity than the tissue biopsy, poten-tially allowing real-time monitoring of cancer evolution. Growing interest is focused on the extra-cellular vesicles (EVs) secreted by either healthy or tumoral cells and recovered in a variety of bio-logical matrices, blood included. EVs are involved in cell-to-cell crosstalk transferring their mRNAs, miRNAs, and proteins content. In particular, transferred miRNAs may regulate the tu-morigenesis and proliferation also impacting on resistance to apoptosis, thus representing poten-tial useful biomarkers. Here we present the latest efforts in the identification of circulating miR-NAs in blood samples, focusing on the potential use of EV derived miRNAs as RCC diagnostic, prognostic markers.
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1. Renal Cell Carcinoma: clinical diagnosis and staging

Renal cell carcinoma (RCC) is the second most frequent cancer in the urological system [1] and represents about 3% of all tumors affecting adults in western world [2]. Every year 64,000 new RCC cases are diagnosed and 14,000 mortality cases due to this malignancy are registered in the United States (US), projecting to increase in burden worldwide [3]. RCC early diagnosis is critical to reduce mortality rate, however the disease is characterized by an asymptomatic clinical course with most cases accidentally diagnosed during clinical evaluations for other concomitant pathologies [2]. Nevertheless, some clinical signs could be related with RCC, such as polycythemia, hypercalcemia, hypertension and Cushing’s syndrome, respectively correlated to erythropoietin, parathyroid-related hormone, renin and ACTH over-production by cancer. Furthermore, leukocytosis, fever and weight loss are common symptoms, while only about 10% of cases show the “classic triad” of RCC symptomatology, consisting of flank pain, hematuria, and palpable masses [4].
The incidence of the disease varies widely throughout the world and appears to be highest in more developed countries. White people have a lower risk of RCC than Native, African and Hispanic Americans probably due to the disparities in diets, lifestyles, socioeconomic conditions, education, and economical possibility for healthcare. Risk factors connected to RCC could be distinguished in (a) unmodifiable such as age, race and gender and (b) modifiable that include diet, alcohol, occupational exposure and drugs [4]. Peak incidence is mostly around sixty and eighty, when the average is 64 years in the US [3].
Unmodifiable and modifiable risk factors are often related: RCC is doubly diagnosed in men where some modifiable risks such as hypertension, tobacco smoking and obesity are more frequently observed.
RCC originates from kidney cortex, in particular from the epithelial cells of renal tubular [3,4] and is commonly classified into three main histopathological subtypes: (1) clear cell renal cell carcinoma (ccRCC) represents the 75% of all RCC cases and the 90% of all RCC deaths due to tendency to metastasize [2]; it derives from renal cancer progenitors, namely RCC cancer stem cells (CSCs) and it is often associated with distant disease to bones, liver and lung through hematologic way [4]; (2) around 10% of diagnosis consists in papillary renal cell carcinoma (pRCC) characterized by histological sub-classification in type I and II, where the first has a tropism for lymphatic recurrence; (3) chromophobe renal cell carcinoma (chRCC) is the less aggressive subtype and represents the 5% of all RCC [4]. The RCC stage at diagnosis is an important prognostic factor. Indeed, for organ-confined tumors (stage I) over the 90% of individuals survive at 5 years from onset, while the survival percentage is reduced to 72,5% for regional disease (stage II/III). Unfortunately, about 30% of RCC are diagnosed at metastatic disease (stage IV) where the prognosis is poor with a 5-year survival rate of 12% [4].

2. RCC treatments: advances and challenges in the lack of biomarkers

RCC is a chemo- and radio-resistant neoplasia. The current therapeutic strategies are based on the surgical approach of radical and/or partial nephrectomy that remain the only effective therapy for clinically localized RCC [5]. Traditionally, these tumors have been treated aggressively, most often with radical nephrectomy, however it predisposes patients to chronic kidney disease with attendant cardiovascular risks and increased mortality [6]. Nephron-sparing approaches such as partial nephrectomy, thermal ablation and active surveillance have also emerged as viable options for the management of these patients [7]. Treatment options are thus individualized and related to disease features (above all tumor stage, size and grade) [2,4,8], weighing the risks and benefits of partial versus radical nephrectomy. Nevertheless, RCC is characterized by a high rate of relapse and unfortunately about 20-50% of those treated with curative intent will progress to stage IV. Features related to a worse prognosis are the tumor size (>7cm), the tumor necrosis, a fat invasion, the performance status (KPS < 80) together with nodal metastases and age [4]. The lack of sensitivity to chemotherapy and radiation therapy prompted efforts into novel treatment options. In the last few years, the therapeutic approach for metastatic RCC (mRCC) in the first-line setting is radically changed due to novel combinatory approaches impacting on both immunity and intracellular molecular pathways inhibition.
Those approaches are targeting the peculiar hyper-vascularity of RCC and trigger the immune cell infiltration by immune checkpoint inhibitors, with or without anti-angiogenic tyrosine kinase inhibitor (TKI)-based combinations [9]. Thus, the current standard of care for frontline advanced ccRCC includes an “immuno-oncology” (IO) combination that may include a vascular endothelial growth factor (VEGF) inhibitor with a checkpoint inhibitor (VEGF-IO) or of two checkpoint inhibitors together (IO-IO) that showed efficacy and safety [10,11]. Interestingly, the anti-angiogenic TKI in RCC are given without actionable mutations to screen. They are oral drugs able to block angiogenesis pathway by binding VEGF receptor, c-MET, RET. For RCC, TKIs can be distinguished in three generations drugs, according to spectrum of action and side effects: sunitinib, pazopanib and sorafenib (first-generation); axitinib and tivozanib (second-generation) and cabozantinib (third-generation) [12].
ICIs can stimulate the host immune response against cancer, through PD1 inhibitors (Nivolumab and Pembrolizumab) or anti-CTLA4 inhibitors (Ipilimumab). The first group can block the interaction PD1/PD-L1 able to downregulate the host T cells and therefore the immune response [11]. Many studies investigated the role of PD-L1 expression as a biomarker, such as Iacovelli et al [13] who performed a meta-analysis of six studies on 1323 patients, showing a high level of PD-L1 expression associated with a higher risk of death. Indeed, PD-L1 expression may be considered as a negative prognostic factor in RCC [14].
However, the response and tolerance to these combination treatments are not always satisfying, probably due to the lack of recognized molecular targets, an intra-tumoral heterogeneity and different RCC molecular subtypes.
The therapeutic strategy is based on the clinical prognostic score (IMDC, MSKK criteria), drug toxicities, patients’ comorbidities, and preference. In fact, nowadays the International mRCC Database Consortium risk model remains the only prospectively known predictive biomarker in mRCC [15].
Although targeted therapies represent the standard treatment options for RCC, nearly all patients treated with targeted drugs will eventually experience disease progression. Unfortunately, a significant number of RCC patients are primarily refractory to targeted therapeutics, showing neither disease stabilization nor clinical benefits, probably due to the intra-tumoral heterogeneity and molecular subtypes [15,16].
Therefore, the identification of new promising biomarkers in RCC is an urgent clinical need that leads clinicians and researchers to investigate the role of cell components as microRNAs secreted by tumor cells and packaged into extracellular vesicles (EVs) released in biological fluids [17].

3. Liquid biopsy in RCC

For decades, surgical tissue-biopsy has firmly been considered the gold standard for solid tumor diagnosis, however it may become a diagnostic obstacle for its invasiveness, unrepeatability and especially for its peculiarity to immortalize that moment without taking into account the tumor heterogeneity and dynamism [18]. The molecular tumor pattern can dynamically evolve over time, driven by microenvironmental stimuli and clonal selection under treatment pressure, rendering future therapeutic decisions based on tissue biopsy suboptimal [19,20].
Over the past decade, liquid biopsy (LB) revolutionized the field of clinical oncology, providing the ease in tumor sampling and continuous tumor monitoring [21].
Thus, LB is gaining relevance in the clinical scenario in cancer for early detection and treatment stratification, as well as residual disease and recurrence monitoring [20].
In particular, overall survival in mRCC patients remains low despite the development of novel targeted therapeutic approaches. LBs could provide an attractive and non-invasive method to determine the risk of recurrence or metastatic dissemination during follow-up and thus improve clinical outcomes and quality of life of RCC patients [22]. Several biological body fluids, such as blood, urine, saliva, breast milk and other patient samples, can be collected and used for clinical investigations, as they contain numerous biomarkers. Peripheral blood, as well as other biological fluids, can be a source of cancer material, such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA) and tumor-derived EVs [23] (Figure 1).
The identification of biomarkers in LB could enable continuous and real-time collection of RCC patients’ information for diagnosis, prognosis assessment, treatment monitoring and response evaluation [24].
Many studies have attempted to use LB as a routine method for the clinical diagnosis of RCC and for the prediction of patients’ grades, stages, and survival to identify high-risk patients for metastasis and recurrence [25,26,27,28,29]. In particular, in recent decades most efforts have been spent in analyzing CTCs and ctDNA [30,31], however their low level in the blood makes their capture and analysis very difficult [24].
EVs and miRNAs are emerging as a platform with potentially broader and complementary applications in LB [32].

4. Extracellular vesicles: biogenesis and role in RCC

EVs are small lipid bilayer-enclosed vesicles, released continuously by all viable cells, in physiological and pathological conditions [33]. According to ISEV guidelines, the term EVs includes three different subtypes of vesicles based on their biogenesis and size [34]: (a) exosomes have a diameter of 30-150 nm and originate by the fusion between intracytoplasmic multi-vesicular bodies (MVB) and cellular plasma membrane; (b) microvesicles with a size of 100-1000 nm generate directly from the plasma membrane by budding process; (c) apoptotic bodies are larger than 1000 nm and are released by dying cells [35] (Figure 2). A list of minimal information for studies of EVs was provided from MISEV-2014 [36] and updated in MISEV-2018 [35] pointing out EVs separation/isolation and characterization techniques and functional studies.
EVs can transport tumor-derived material, including lipids, a wide variety of RNA (microRNAs, mRNAs and long non coding-RNAs), DNA, proteins, enzymes and metabolites. They play a key role in cell-to-cell communication [37] by transferring their information to nearby or long distance recipient cells, influencing their phenotype and functions [38].
These small messengers are involved in tumorigenesis and tumor metastasis due to their widespread distribution throughout the blood and lymphatic circulation. Several studies indicate that tumor released EVs may orchestrate tumor progression stimulating proliferation, angiogenesis, chemo-resistance and immune-escape [19,39,40]. In addition, EVs are highly stable in biological fluids and protect their content from RNase and protease activity thanks to their lipid bilayer structure [41].
Recently, EVs showed an increasing interest in the field of urological malignancies [42]. A growing number of studies are focusing on EV cargoes, particularly miRNAs, in relation to diagnostic accuracy, treatment prognosis, treatment response as well as numerous biological processes [43,44].
The recent knowledge is related to the biological role of EVs shed by RCC tumor cells in RCC progression, such as angiogenesis, immune escape and tumor growth [45].
Horie K et al analyzed the hypoxic conditions in RCC that stimulate the release of tumor cells-derived EVs. Their results suggested the possibility that carbonic anhydrase 9 (CA9) enriched in exosomes and released from hypoxic RCC may enhance angiogenesis in microenvironment, thereby contributing to cancer progression [46]. In addition, RCC-EVs were studied for their modulation of vascular permeability affecting metastatization, thanks to their enrichment in the azurocidin protein (AZU1) significantly higher in serum EVs from ccRCC patients compared to those from healthy donors [47].
More, specific pro-tumorigenic roles have been attributed to EVs released by CD105+ renal CSCs, due to their cargo enriched in several pro-angiogenic mRNAs and miRNAs [48]. Those cargos can also impact other tumor microenvironmental cells, as demonstrated by Lindoso et al, considering the participation of renal CSC-derived EVs in the interaction between tumor and stroma. They found that CSC-derived EVs promoted phenotypical changes in stromal cells characterized by an increased expression of genes associated with cell migration, matrix remodeling, angiogenesis and tumor growth [49]. Grange et al. additionally demonstrated the impact of CSC-derived EVs isolated from RCC as main mediators for additional tumor microenvironment element, impacting on monocyte differentiation into dendritic cells [50].
A specific role for renal CSC-derived EVs has been additionally described for the formation of the pre-metastatic niche, which consist of a complex network of information exchanges. These EVs may sustain an unfavorable outcome of the tumor by enhancing tumor vascularization and by contributing to the establishment of a pre-metastatic niche [48]. More recently, it has been demonstrated that renal CSC EVs were enriched by miRNAs influencing cell growth, tumor invasion and metastases, thus giving to circulating miRNAs a promising role of biomarkers in RCC [45].

5. MicroRNA (miRNA): from free circulating to EV packaged biomarkers in RCC

MicroRNAs (miRNAs) are small noncoding RNA molecules of 18–22 nucleotides capable of post-transcriptionally regulating protein translation, due to an increased mRNA degradation [38,39]. For this reason, the biological role of miRNAs is usually associated with the role of their target mRNAs. Since a single miRNA can positively or negatively modulate numerous target mRNAs, they result as biological regulators of many cell functions including cell growth and proliferation, resistance to apoptosis and therefore they play a key role in tumorigenesis and tumor progression, representing potential useful biomarkers [2,51,52].
Over the last few years, the aberrant expression of miRNAs in cancer development has been dissected, identifying some miRNAs highly expressed in cancer cells with an oncogenic role and miRNAs acting as tumor suppressors. The deregulation of both groups of miRNAs contribute to tumor development mechanisms: oncogenic miRNAs are commonly overexpressed in cancerous tissues as well as tumor suppressor miRNAs are conversely downregulated in tumors [2].
Their stability in body fluids increases when they are packaged within EVs [53]. The utility of circulating miRNAs in RCC has been previously evaluated [54], nevertheless, recently, further evidence has been added to this emerging field, focusing on EV encapsulated miRNAs from blood samples.
Expression profile of several miRNAs has revealed their valid potential as diagnostic noninvasive markers in human RCC since they resulted differentially expressed in tumor when compared with normal counterpart, but also between primary and metastatic tumors [2]. It has a great clinical relevance in RCC, since a considerable number of ccRCC patients are diagnosed with metastatic disease, reducing the effectiveness of actual therapies. In advanced stages, limited treatment options often lead to poor prognosis. For this reason, the development of new molecular biomarkers can significantly improve the early RCC diagnosis and prognosis. Experimental evidence also revealed the potential prognostic value of different miRNAs correlated to overall-survival of RCC patients. However, the miRNA prognostic signature is debated due to lack of uniformity among studies regarding the identification of clinically significant miRNAs. The discrepancy may be due to the use of different cohorts of patients, so comorbid conditions and genetic differences, which are unrelated to RCC, may substantially influence the results [55].
An improving challenge of recent studies is to find potential biomarkers able to increase sensitivity to chemo-radiotherapy, predicting patient’s response and resistance to targeted therapy. Circulating miRNAs might also be involved in acquiring resistance to treatment in RCC. Their promising role as predictors of response to therapy may acquire considerable importance in RCC, providing clinicians with crucial information to determine the optimal treatment plan and thus avoiding severe side effects of ineffective overtreatment [56] (Figure 3).
We reviewed the studies on free or encapsulated miRNAs differentially expressed in blood samples of RCC patients compared to normal controls, as summarized in Table 1. We observed that most of the studies analyzed the miRNAs expression within serum and plasma, without focusing on EV-derived miRNAs.
Tusong et al reported the over-expression of miR-21 and miR-106a in RCC patients’ serum compared to healthy controls and their significant reduction a month after surgery compared with the pre-operative group. This outcome suggests the potential diagnostic and predictive role of serum miR-21 and miR-106a as non-invasive biomarkers for RCC [57]. MiR-21 has been given much attention, due to an important role in a variety of malignant tumors. The correlation between the upregulation of miR-21 in serum of ccRCC patients and their clinical stage was described in literature [58], however, the underlying mechanisms are not well understood. Liu et al reported that upregulated miR-21 in serum predicates advanced clinic-pathological features and poor prognosis in patients with RCC through the p53/p21-cyclin E2-Bax/caspase-3 signaling pathway [59].
Cheng et al showed the upregulation of miR-21, miR-34a and miR-224 and the downregulation of miR-141 in the sera of patients with ccRCC, reporting their consistence of expression profile with those of the corresponding tumor tissue samples.
Table 1. Deregulated microRNAs in blood samples of RCC patients as potential diagnostic, prognostic or predictive biomarkers.
Table 1. Deregulated microRNAs in blood samples of RCC patients as potential diagnostic, prognostic or predictive biomarkers.
miRNA Expression Changes
in RCC
Source Therapeutic Role Reference
miR-106 Up-regulated Serum Diagnostic,
Predictive
Tusong et al., 2017 [51]
miR-122-5p Up-regulated Serum Prognostic Heinemann et al., 2018 [72]
miR-1233 Up-regulated Exosomes-
Serum
Diagnostic,
Predictive
Zhang et al., 2018 [60]
Up-regulated Plasma Diagnostic,
Prognostic
Dias et al., 2017 [56]
Up-regulated Serum Diagnostic Wulfken et al., 2011 [59]
miR-141 Down-regulated Serum Diagnostic Cheng et al., 2013 [52]
miR-144-3p Up-regulated Plasma Diagnostic,
Prognostic
Lou et al., 2017 [69]
miR-149-3p Up-regulated Exosomes-
Plasma
Diagnostic Xiao et al., 2020 [58]
miR-150 Down-regulated Plasma Prognostic Chanudet et al., 2017 [73]
miR-182-5p Down-regulated Serum Diagnostic Huang et al., 2020 [61]
miR-187 Down-regulated Plasma Diagnostic,
Prognostic
Zhao et al., 2013 [70]
miR-193a-3p Up-regulated Serum Diagnostic Wang et al., 2015 [63]
miR-196a Up-regulated Serum Diagnostic,
Prognostic
Huang et al., 2020 [68]
miR-206 Up-regulated Serum Prognostic Heinemann et al., 2018 [72]
miR-20b-5p Down-regulated Serum Diagnostic Huang et al., 2020 [68]
miR-21 Up-regulated Serum Diagnostic,
Predictive
Tusong et al., 2017 [51]
Up-regulated Serum Diagnostic,
Prognostic
Cheng et al., 2013 [52]
Up-regulated Serum Diagnostic,
Prognostic
Liu et al., 2017 [53]
miR-210 Up-regulated Serum Diagnostic,
Predictive
Fedorko et al., 2015 [64]
Up-regulated Exosomes-
Serum
Diagnostic,
Predictive
Zhang et al., 2018 [60]
Up-regulated Plasma Diagnostic,
Prognostic
Dias et al., 2017 [56]
Up-regulated Serum Diagnostic Iwamoto et al., 2014 [66]
Up-regulated Serum Diagnostic,
Predictive
Zhao et al., 2013 [65]
miR-218 Up-regulated Plasma Diagnostic Dias et al., 2017 [56]
miR-22 Down-regulated Serum Diagnostic,
Prognostic,
Predictive
Li et al., 2017 [77]
miR-221 Up-regulated Plasma Diagnostic,
Prognostic
Teixeira et al., 2014 [57]
Up-regulated Plasma Diagnostic,
Prognostic
Dias et al., 2017 [56]
miR-222 Up-regulated Plasma Diagnostic Teixeira et al., 2014 [57]
miR-224 Up-regulated Serum Diagnostic Cheng et al., 2013 [52]
Up-regulated Serum Diagnostic Huang et al., 2020 [61]
miR-28-5p Down-regulated Serum Diagnostic Wang et al., 2015 [63]
miR-30a-5p Down-regulated Serum Diagnostic Huang et al., 2020 [68]
miR-34a Up-regulated Serum Diagnostic Cheng et al., 2013 [52]
miR-34b-3p Down-regulated Serum Diagnostic Huang et al., 2020 [61]
miR-362 Up-regulated Serum Diagnostic Wang et al., 2015 [63]
miR-378 Up-regulated Serum Diagnostic,
Predictive
Fedorko et al., 2015 [64]
Down-regulated Serum Diagnostic Wang et al., 2015 [63]
Up-regulated Serum Diagnostic Redova et al., 2012 [62]
miR-424-3p Up-regulated Exosomes-
Plasma
Diagnostic Xiao et al., 2020 [58]
miR-451 Down-regulated Serum Diagnostic Redova et al., 2012 [62]
miR-483-5p Down-regulated Plasma Diagnostic,
Prognostic,
Predictive
Wang et al., 2021 [76]
miR-508-3p Down-regulated Serum Diagnostic Liu et al., 2019 [54]
miR-572 Up-regulated Serum Diagnostic Wang et al., 2015 [63]
miR-625-3p Down-regulated Serum Diagnostic Zhao et al., 2019 [55]
miR-765 Down-regulated Plasma Predictive Xiao et al., 2020 [67]
miR-885-5p Up-regulated Serum Diagnostic Liu et al., 2019 [54]
miR-92a-1-5p Down-regulated Exosomes-
Plasma
Diagnostic Xiao et al., 2020 [58]
miR-1293 Down-regulated EVs-
Plasma
Prognostic,
Predictive
Dias et al., 2020 [75]
miR-301a-3p Up-regulated EVs-
Plasma
Prognostic,
Predictive
Dias et al., 2020 [75]
miR-let-7i-5p Down-regulated Exosomes-
Plasma
Prognostic Du et al., 2017 [74]
miR-183-5p Up-regulated Serum Diagnostic,
Prognostic
Zhang et al., 2015 [71]
Interestingly, only the miR-21 expression levels in the serum of the patients were correlated with the patients' clinical stage, while miR-224 expression levels were correlated with gender. However, this study showed that miR-34a, miR-224, miR-21 and miR-141 could be considered as potential ccRCC tumor markers [58].
A diagnostic role has been attributed to several miRNAs, such as: miR-625-3p, miR-508-3p, miR-885-5p, dysregulated in serum of ccRCC patients [60,61]; miR-218 and miR-222 upregulated in plasma of patients [62,63]; miR-149-3p, miR-424-3p and miR-92a-1-5p that are significantly abnormal in exosomes from plasma of RCC patients [64]; miR-1233 that appeared upregulated in serum [65], exosomes from serum [66] and plasma [62] samples of RCC patients. Huang et al identified miR-182-5p, miR-224-5p and miR-34b-3p as potential diagnostic biomarkers after three-stage selection [67]; similarly, a diagnostic role was successfully validated by Redova et al for miR-378 and miR-451, due to the increased and decreased expression respectively in serum of RCC patients, enabling their potential use as biomarkers for distinguishing between RCC and healthy controls [68].
The late diagnosis of RCC primarily due to a lack of early-stage diagnostic encouraged researchers to discover novel miRNA signatures that differentiates RCC from healthy controls with a high degree of accuracy. In particular, Whang et al in 2015 focused on a 5-miRNA panel including miR-28-5p, miR-362, miR-572, miR-193a-3p and miR-378, demonstrating their potential value as an auxiliary clinical diagnostic tool to detect also early-stage RCC, for which surgery is most effective [69]. Next to a diagnostic role, in the same year other researchers dissected the prognostic and predictive value of miR-378 together with miR-210, describing their significant decrease in the time period of three months after radical nephrectomy [62,66,70,71,72].
More recently, the upregulation of miR-765 was described in plasma of ccRCC patients after tumor resection, suggesting its tumor suppressor role and identifying the proteolipid protein 2 (PLP2) as a candidate downstream target gene [73]. In the same year, Huang and his team suggested the diagnostic ability of miR-196a, miR-20b-5p and miR-30a-5p in the serum of 110 RCC patients and 110 healthy controls. Additionally, analyzing the clinical role of each miRNA, they showed the significant correlation of miR-196a-5p expression with the Fuhrman grade and the clinical stage, demonstrating its potential involvement in the oncogenesis and tumor progression of RCC [74]. A diagnostic and prognostic significance was defined for miR-144-3p [75], miR-187 [76], miR-221 [62,63] and miR-183-5p. In particular, it was demonstrated that the cells of patients with high levels of this miRNA in the blood poorly responded to the cytotoxicity induced by NK cells, suggesting that targeting miR-183-5p may be an effective way to enhance the outcome of NK cell-based immunotherapy [77].
In contrast to other studies, Heinemann et al did not only compare the serum of patients with ccRCC and healthy donors, but also a group of patients with benign renal tumors (BRT). As a result, the downregulation of miR-122-5p and miR-206 in serum of both ccRCC and BRT groups compared to controls suggested their doubtful role in diagnosis. However, they demonstrated their prognostic value, showing that high levels of miR-122-5p and miR-206 were associated with a significantly shorter period of progression-free, cancer-specific, and overall survival [78]. Plasma miRNA signatures specifically associated with late-stage disease were provided by researchers, contributing evidence that circulating miRNAs, such as miR-150 and miR-let-7b-5p, are associated with the progression of renal carcinoma and may contribute to disease monitoring [79,80].
The comparison of plasma of ccRCC patients with localized and metastatic disease before and after surgery suggested that EVs content varies depending on the presence or absence of the disease. An increased level of miR-301a-3p and a decreased expression of miR-1293 may be potential biomarkers of metastatic disease [81]. Two studies, encompassing two distinct miRNAs, specifically miR-22 and miR-483-5p, significantly related their deregulation with the tumor stage and clinicopathological parameters, showing diagnostic, prognostic and predictive functions [82,83]. Taken together, these findings revealed the potential role of miRNAs as promising biomarkers in RCC. They could provide a novel therapeutic front of view and their translation into clinical practice would be of great relevance in this neoplasia.

5. Conclusions

RCC is considering one of the most unfavorable tumor disease, due to the late diagnosis and the poor prognosis. Nowadays, specific biomarkers validated for RCC early detection are not available and the actual treatments are often unable to avoid recurrence of disease. LB could provide an attractive and non-invasive tool to assist the research for biomarkers in RCC tumors to capture a larger amount of the molecular heterogeneity compared to tissue biopsy and give prompt information on the risk of recurrence/relapse during follow-up.
Many efforts are directed towards the research for circulating miRNAs that play a role in almost all aspects of cancer biology and development. In particular, miRNAs packaged in EVs and released in blood flow could allow to expand the spectrum of potential biomarkers for future using in diagnosis and prognosis of RCC and in prediction of therapeutic response.
However, nowadays there are no miRNAs widely applied as biomarker in the clinical setting, partly due to the lack of isolation and quantification standardized protocols, the heterogeneity of the study cohorts and the variety of body fluids under investigation. Several studies analyzed plasma and serum-derived miRNAs, without focusing on the vesicle compartment. EV-derived miRNAs appear to be more stable than free miRNAs, as EVs seem to protect them from degradation by macrophages. The EVs double-layered membrane and nanoscale size allow the miRNA stability, thus prolonging their circulation half-life and enhancing their biological activity [84]. After release, EVs are taken up by neighboring or distant cells, and the miRNAs encapsulated modulate several processes, as interfering with tumor immunity and the microenvironment, possibly facilitating tumor growth, invasion, metastasis, angiogenesis and drug resistance [85]. Therefore, EV-derived miRNAs have a significant function in regulating cancer progression. More investigations on this matter are warranted. Nonetheless, the most exciting but challenging application will be to utilize EVs and their cargo as a clinical tool to diagnose and monitor disease. Thus, EV-derived miRNAs could provide a novel therapeutic tool in RCC clinical practice, where the lack of adequate biomarkers makes functional investigations urgently needed.

Author Contributions

IM: VC, MO, CN, CC, CAB and MGV participated in the literature search, wrote the manuscript parts, and prepared the figures and tables. MD, RS and MGV conceived the manuscript concept, wrote and final edited the manuscript. All authors contributed to the article and approved the submitted version.

Funding

This work was funded in parts by grants from Associazione ASEOP (MD, CC), Progetto MIUR Dipartimenti Eccellenti 2022 (MD) and from the European Union - NextGenerationEU through the Italian Ministry of University and Research under PNRR - M4C2-I1.3 Project PE_00000019 "HEAL ITALIA" (MD, GG, CAB).

Acknowledgments

VC is grateful to Prof. Carmen Jerónimo (Portuguese Oncology Institute of Porto, Portugal) and her team for the support and inspiration on EV investigations.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Peripheral Blood collection in RCC patients. Liquid biopsy, in particular peripheral blood, can be a source of cancer material: circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and extracellular vesicles (EVs), released by tumors into the bloodstream. Figure was generated with BioRender.
Figure 1. Peripheral Blood collection in RCC patients. Liquid biopsy, in particular peripheral blood, can be a source of cancer material: circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and extracellular vesicles (EVs), released by tumors into the bloodstream. Figure was generated with BioRender.
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Figure 2. Biogenesis and structure of extracellular vesicles (EVs). EVs include three different sub-populations: exosomes are intraluminal vesicles released after fusion of a multivesicular body (MVB) with the cell membrane through exocytosis; microvesicles are formed by outward shedding of the cell membrane into extracellular space; apoptotic bodies are generated when cells undergo apoptosis. EVs subtypes vary in size and composition and carry different cargoes such as nucleic acids and cytosolic proteins. They are also characterized by membrane proteins such as tetraspanins that identify the exosomal population. Figure was generated with BioRender.
Figure 2. Biogenesis and structure of extracellular vesicles (EVs). EVs include three different sub-populations: exosomes are intraluminal vesicles released after fusion of a multivesicular body (MVB) with the cell membrane through exocytosis; microvesicles are formed by outward shedding of the cell membrane into extracellular space; apoptotic bodies are generated when cells undergo apoptosis. EVs subtypes vary in size and composition and carry different cargoes such as nucleic acids and cytosolic proteins. They are also characterized by membrane proteins such as tetraspanins that identify the exosomal population. Figure was generated with BioRender.
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Figure 3. Circulating microRNAs (miRNAs) are potential biomarkers for RCC. MiRNAs are emerging as promising biomarkers in RCC due to their potential triple role in clinical setting: several miRNAs result differentially expressed in tumor when compared with normal counterpart, showing a valid diagnostic value; experimental evidence also revealed the potential prognostic value of several miRNAs for appraisal of survival of RCC patients; their promising role as predictors of response to therapy may acquire a key importance in RCC providing clinicians with crucial information to determine the best treatment plan. Figure was generated with BioRender.
Figure 3. Circulating microRNAs (miRNAs) are potential biomarkers for RCC. MiRNAs are emerging as promising biomarkers in RCC due to their potential triple role in clinical setting: several miRNAs result differentially expressed in tumor when compared with normal counterpart, showing a valid diagnostic value; experimental evidence also revealed the potential prognostic value of several miRNAs for appraisal of survival of RCC patients; their promising role as predictors of response to therapy may acquire a key importance in RCC providing clinicians with crucial information to determine the best treatment plan. Figure was generated with BioRender.
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