Literature DB >> 28440483

Human osteopontin: Potential clinical applications in cancer (Review).

Chengcheng Hao1, Yuxin Cui2, Sionen Owen2, Wenbin Li3, Shan Cheng1, Wen G Jiang1.   

Abstract

Human osteopontin (OPN) is a glycosylated phosphoprotein which is expressed in a variety of tissues in the body. In recent years, accumulating evidence has indicated that the aberrant expression of OPN is closely associated with tumourigensis, progression and most prominently with metastasis in several tumour types. In this review, we present the current knowledge on the expression profiles of OPN and its main splice variants in human cancers, as well as the potential implications in patient outcome. We also discuss its putative clinical application as a cancer biomarker and as a therapeutic target.

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Year:  2017        PMID: 28440483      PMCID: PMC5428945          DOI: 10.3892/ijmm.2017.2964

Source DB:  PubMed          Journal:  Int J Mol Med        ISSN: 1107-3756            Impact factor:   4.101


1. Introduction

Osteopontin (OPN) is a bone associated, extracellular matrix glycosylated phosphoprotein which is produced by several cell types, including osteoblasts, osteoclasts, immune cells, endothelial cells, epithelial cells and extra-osseous cells (skin, kidney and lung) (1–3). Due to differences in post-translational modification (PTM) (phosphorylation, glycosylation, sulfation and proteolysis) from different cellular sources, OPN has a molecular weight ranging from 41 to 75 kDa, which may have a cell type-specific structure and function (4–7). OPN plays a major role in various normal physiological processes, including bone remodelling, immune-regulation, inflammation and vascularisation (8,9). In addition, OPN has also been shown to be involved in carcinogenesis with multi-functional activities (10–12). OPN is involved in a series of biological functions through interactions with different integrins and CD44. Therefore, OPN is classified as a member of the 'small integrin-binding ligand N-linked glycoproteins' (SIBLINGs) together with other molecules, including bone sialoprotein (BSP), dentin matrix protein 1 (DMP1), dentin sialophosphoprotein (DSPP) and matrix extracellular phosphoglycoprotein (MEPE) (13). Two critical integrin binding sequences of OPN have been identified: arginine-glycine-aspartic acid (RGD) and serine-valine-valine-tyrosine-glutamate-leucine-arginine (SVVYGLR). OPN interacts mainly with various αv (particularly αvβ1, αvβ3, αvβ5) integrin receptors via the classical RGD sequence, and interacts with α9β1, α4β1, α4β7 via SVVYGLR (14–16). In addition, it also interacts with the CD44 splice variants, CD44v3, CD44v6 and CD44v7, via the C-terminal fragment calcium binding site (17–20). These properties of OPN induce the activation of signal transduction pathways, leading to cell proliferation, adhesion, invasion and migration, which have been demonstrated by both in vitro and in vivo models (21–23). The binding of OPN to integrins and CD44 initiates a downstream signalling cascade via the PI3K/AKT signalling pathway leading to NF-κB mediated cell proliferation and survival (24–26). In additon, through the Ras/Raf/MEK/ERK signalling pathway, an OPN-integrin complex and subsequent induction of AP-1-dependent gene expression, urokinase-type plasminogen activator (uPA) and matrix metalloproteinases (MMPs) confer a metastatic phenotype on some cancer cell types (27–29). Induced by vascular endothelial growth factor (VEGF), OPN and certain integrins are able to promote angiogenesis through enhanced endothelial cell migration, proliferation and the subsequent formation of capillaries, which are all essential requirements for the process of angiogenesis (30,31).

2. Expression of OPN in human cancer

OPN has been shown to correlate with tumourigenesis, as well as with the progression and metastasis of different malignancies in both experimental and clinical studies (Table I). The upregulation of OPN expression has been identified in a variety of human cancers, including breast, prostate, lung, stomach, pancreatic and colorectal cancer, glioma and melanoma (Table I).
Table I

Summary of OPN functions and clinical significance in human cancers.

Cancer typeBiological functionsClinical significanceRefs.
NSCLCThere was a significant correlation between OPN and VEGF expression in NSCLC patients. OPN(+)/VEGF(+) are identified as independent prognostic factors of worse overall survival.OPN and VEGF could serve as prognostic factors and treatment targets for NSCLC.(32)
OPN and other bone remodelling markers, such as OPG demonstrated independent positive correlations between clinical and tumour parameters.Serum OPN combined with other markers of bone turnover may be able to determine the time-to-tumour progression, metastatic potential and overall survival of NSCLC patients.(33)
Prostate cancerLong-term treatment of cytotoxic drug could further upregulate OPN secretion from tumour cells. In vivo animal studies showed that knockdown of OPN enhanced the cytotoxicity of a chemotherapeutic drug.OPN could be a potential drug target for reducing drug resistance in prostate cancer therapy.(34)
LABCPatients with above median baseline OPN levels were significantly more likely to die of their disease than those with below median baseline OPN levels, and overall baseline OPN level was significantly associated with survival.Baseline plasma OPN level was a prognostic biomarker in the group of LABC patients, and could also be helpful in identifying LABC patients who will respond to neoadjuvant chemotherapy.(35)
GlioblastomaOPN was an important player in dedifferentiation of neural cells during tumour formation.OPN can be a therapeutic target for glioblastoma(36)
Malignant gliomaHigh OPN plasma levels were shown to be associated with a more aggressive phenotype, integrating known factors such as grade, tumour volume and extent of necrosis after radiotherapy.High OPN plasma levels at the end of radiotherapy are associated with poor survival.(37)
SCHNCOPN expression was associated with an increase in local recurrence in patients who were treated with primary radiotherapy for locally advanced SCHN.Tirapazamine and/or gene therapy or small molecule inhibitors targeting OPN, should be considered to be included in the treatment during radiotherapy in SCHNC.(38)
Gastric cancerStrong OPN expression was significantly associated with a low apoptotic index, a high proliferative index, depth of invasion, lymphatic invasion, and venous invasion.OPN may play an important role in the invasiveness and the progressive nature of gastric cancer.(39)
OPN mRNA was upregulated in 83% of the tumours; OPN positivity was significantly associated with a shorter survival timeOPN positivity may be useful for predicting poor prognosis in gastric cancer patients.(40)
CRCHigh post-operative OPN levels correlated with post-operative distant metastasis.Post-operative plasma OPN level is a potential non-invasive biomarker for monitoring CRC patients after curative resection of their primary tumour.(41)
OPN expression was higher in CRC patients who were resistant to oxaliplatin-involved chemotherapy treatment.OPN inhibition is a potential therapeutic approach to combat CRC progression and chemoresistance.(42)
PDACSerum levels of both OPN and TIMP-1 were markedly upregulated in PDAC; high serum levels of OPN were significantly correlated with reduced patient survival.Combining utilisation of OPN, TIMP-1 and CA 19-9 in a panel could improve diagnostic accuracy in PDAC.(43)
Strong OPN mRNA signal was found in tumour-infiltrating macrophages; serum OPN levels were significantly elevated in PDAC patients with moderate sensitivity and specificity.Serum OPN may have utility as a diagnostic marker in patients with PDAC.(44)
HCCSecreted OPN induced autophagy via binding with its receptor integrin αvβ3 and sustaining FoxO3a stability, which further promoted stem-like phenotype of HCCs, chemoresistance and tumour growth.Blockade OPN and its receptors by using specific antibodies or small-molecular inhibitors combined with autophagy inhibitors might provide effective avenues for the treatment of HCC.(45)
Serum OPN levels were significantly elevated in patients with early and advanced HCC; there was no correlation between serum OPN and AFP levels.Serum OPN is a useful diagnostic and prognostic marker for HCC. The combined use of serum OPN and AFP improved the diagnosis of early HCC.(46)
Plasma OPN levels were significantly elevated in patients with HCC and directly correlated with the tumour number; there was significant correlation between OPN and AFP levels.Plasma OPN levels appear to be an additional biomarker for HCC detection.(47)
Bladder cancerRNAi-targeting OPN inhibited the proliferation, invasion and tumourigenicity of T24 bladder cancer cells in vitro.OPN may serve as a potential therapeutic target for human bladder cancer.(48)
Ovarian cancerThe diagnostic performance of OPN assessment is similar to that of subjective ultrasonographic, morphological assessment for the differential diagnosis of ovarian tumours.OPN may be useful in differential diagnosis for less experienced ultrasonographers and is especially valuable for differential diagnosis of endometriotic cysts.(49)
Pre-operative plasma OPN levels were significantly higher in patients with ovarian cancer; the sensitivity and specificity of pre-operative plasma OPN in detecting ovarian cancer almost reached that of CA125.Pre-operative OPN is a useful biomarker for predicting ovarian cancer. It is especially useful when used alongside CA125.(50)
OSCCThe expression of OPN was elevated in 95% of tumours and 55% of histologically tumour free margin samples.OPN can be used as a diagnostic marker in OSCC. In the tumour free surgical margins, elevated levels of OPN may predict a significantly increased risk of recurrence.(51)
MelanomaOPN mRNA expression was significantly increased in thicker melanomas, and high OPN mRNA and protein expression were associated with tumour progression and metastasis formation.OPN is a potential target for primary melanoma diagnosis and therapy.(52)

OPN, osteopontin; NSCLC, non-small cell lung cancer; VEGF, vascular endothelial growth factor; LABC, locally advanced breast cancer; SCHNC, squamous cell head and neck cancer; CRC, colorectal cancer; PDAC, pancreatic ductal adenocarcinoma; HCC, hepatocellular carcinoma; OSCC, oral squamous cell carcinoma.

In these studies, in vitro experiments have also established a causal link between OPN expression and cell functions. In vitro transfection experiments have demonstrated that downregulating OPN gene expression suppressed the progression of breast cancer cells, which have invasive potential and metastatic competence (21). Experimental evidence has further suggested that enhanced OPN expression renders a highly metastatic phenotype of cancer cells. For example, the enforced expression of OPN in non-metastatic rat mammary tumour cells has been shown to result in lung metastasis occurring in half of the animals that developed primary tumours (23). In another study, in glioma cells, elevated levels of OPN and VEGF synergistically enhanced the angiogenic properties, via integrin αvβ3, on the endothelial cell surface (25). Another study demonstrated that the knockdown of OPN in prostate cancer cell lines enhanced the cytotoxicity of the chemotherapeutic drug, daunomycin (DUN), through integrin-mediated FAK/P-GP signalling (34). The ectopic expression of OPN in DLD1 colon cancer cells has been shown to stimulate EMT activation and subsequent migration (41). In clinical investigations, elevated OPN levels have been shown to correlate with increased tumour burden (stage, grade and tumour size), a poor prognosis and reduced survival, although discrepancies remain. For example, the increased expression of OPN in plasma and tumour tissues has been identified in breast cancer patients and has been shown to be associated with metastatic disease and decreased survival (35). Similarly, in advanced gastric cancer, patients with OPN-positive cancer (as determined by immunohistochemistry) have a decrease in their 5-year survival, when compared with those with OPN-negative cancer (40). In colorectal cancer (CRC) patients, increased OPN mRNA levels have been shown to significantly correlate with stage, lymph node metastasis and lymphatic or venous invasion, as well as with lower disease-free and overall survival rates (41,42). A study on patients with pancreatic ductal adenocarcinoma (PDAC) demonstrated that serum levels of OPN are elevated with advanced tumour grades (44). Elevated OPN levels have also been strongly associated with increased stage, grade and tumour size in melanoma patients (52). In early stage non-small cell lung cancer (NSCLC) patients high OPN plasma levels were observed which were reduced after surgical tumour resection. However, in those patients which showed recurrence after surgery OPN plasma levels re-elevated, indicating that OPN is not only a potential diagnostic marker in NSCLC, but also has potential as a tool for detecting tumour recurrence after treatment (53). Thus, OPN may be a useful biomarker to monitor cancer progression and a significant predictor of poor prognosis and survival rates.

3. Expression of OPN splice variants in human cancers

The alternative splice-generation of multiple mRNA products from a single gene is a critical mechanism for generating proteomic diversity. The OPN precusor-mRNA (pre-mRNA) is subject to alternative splicing, which generates three splice variants, OPN-a (consists of all exons), OPN-b (which lacks exon 5) and OPN-c (which lacks exon 4) (Fig. 1).
Figure 1

Structural features of the three osteopontin (OPN) splice variants. OPN-a is the full-length isoform with 6 translated exons (314 aa), OPN-b lacks exon 5 (300 aa), and OPN-c lacks exon 4 (287 aa). All OPN variants possess functional domains: arginine-glycine-aspartic acid (RGD) domain (159–161), serine-valine-valine-tyrosine-glutamate-leucine-arginine (SVVYGLR) domain (162–168), thrombin cleavage site, calcium binding domain (216–228) and heparin binding domain. Integrin binding occurs at RGD and SVVYGLR sequences, whilst the CD44 variant receptor binding occurs near the C-terminus. Phosphorylation sites are throughout the whole precusor-mRNA (pre-mRNA). Thrombin cleavage and matrix metalloproteinase (MMP) cleavage sites are present in all three splice variants. Compared with the full-length isoform (OPN-a), OPN-b misses certain phosphorylation sites, while OPN-c is unable to undergo transglutaminase cross-linking. To some extent, the structural differences that exist between the three OPN isoforms may contribute to their clinical and functional differences.

Recent studies have demonstrated that the expression of OPN splice variants in malignancies is cell-type/tissue specific and may have functional heterogeneity (Table II). For example, Pang et al reported that OPN-c is selectively expressed in breast cancer tissue (57). In their study on 170 breast cancer patients, OPN-c protein staining was positive in 70% of all of the samples and was significantly higher in tumour tissues compared to normal tissues. The study indicated an inverse correlation between OPN-c and E-cadherin, an established tumour suppressor. However, the observations by the same authors that OPN-c also inversely correlated with β-catenin and that E-cadherin positively correlated β-catenin are intriguing. Despite β-catenin working with E-cadherin to form cell-cell adhesion complexes, β-catenin has been classically regarded as an oncogenic protein. Thus, the true link between OPN-c and the cell adhesion complex requires further study and one has to delineate the cellular location of β-catenin (namely membrane-associated, cytoplasmic and nucleus) in this context. However, the study by Pang has clearly demonstrated that high levels of OPN-c staining in breast tumours are associated with TNM staging, nodal involvement, recurrence and metastasis, and interestingly with the triple negativity of the tumours and, thus is an independent prognostic indicator for these patients (57). Another study by Sun et al demonstrated that each of the three OPN splice variants was able to increase the growth of breast tumours, in vivo (56). It is noteworthy that OPN-a appears more effective in promoting tumour growth than the other two splice forms.
Table II

Summary of OPN splice variants (OPN-a, OPN-b and OPN-c) expression and function in human cancer tissues and cells.

Cancer typeSample sizeMethodsExpression pattern of OPN splice variantsBiological functionRefs.
Breast cancer671IHCMost specimens displayed, OPN-a and OPN-b, selectively in the cytoplasm, while OPN-c predominantly in the nucleiHigh staining intensity of nuclear OPN-c was strongly associated with mortality in patients with early breast cancer. Cytosolic staining of OPN-a and OPN-b also predicted poor outcome(54)
309IHC, qPCROPN isoforms expression pattern not analysedIncreased OPN-c took a higher risk of recurrence among immunophenotypes, especially in triple-negative/basal-like subtype(55)
RT-PCROPN isoforms expression pattern not analysedOverexpression of OPN transcripts promoted local tumour formation, but there was no significant difference among OPN-a, OPN-b and OPN-c when tumour formation in vivo(56)
170IHCOPN-c is positive expression in breast cancer tissue, OPN-a and OPN-b not detectedOPN-c could serve as a prognostic factor of breast cancer(57)
127qPCRThree OPN isoforms were upregulated in breast cancer specimens, especially OPN-b and OPN-cIncreased OPN-b and OPN-c expression were significantly associated with adverse pathological and clinical outcomes in breast cancer, especially OPN-c; OPN-a had the inverse effect(58)
Lung cancerRT-PCRAmong the three OPN isoforms, OPN-a is the most highly expressed in lung cancer cell linesOPN-a can inhibit growth of cells with high integrin β3 levels and increase growth via activation of the CD44/NF-κB pathway in cells with low integrin β3 levels. Functional studies of OPN-b and OPN-c not performed(59)
OPN isoforms expression pattern not analysedOPN-b affected cell proliferation and OPN-c played a role in invasive behavior(60)
RT-PCROPN-a and OPN-b were dominantly expressed in OPN secreting cell lines (OPN-a > OPN-b).OPN-c was not endogenously expressed in these cell linesOPN-a was significantly associated with tubule formation; OPN-b also significantly increased tubule length, but to a lesser extent than OPN-a; OPN-c resulted in a significant decrease in tubule formation(61)
Prostate cancerqPCROPN isoforms expression pattern not analysedCompared to OPN-a, PC3 cells overexpressing OPN-b and OPN-c are more resistant to DXT-induced cell death(62)
qPCROPN isoforms expression pattern not analysedOPN-b and OPN-c, but not the OPN-a, exerted pro-tumourigenic roles in prostate cancer cells(63)
RT-PCROPN isoforms expression pattern not analysedOPN-c activated capabilities of pro-oncogenicity in OvCar-3 and PC-3 cancer cell lines(64)
Esophageal cancerqPCRAll OPN isoforms were highly overexpressed in primary adenocarcinoma EACsOPN-b significantly increased cell adhesion, OPN-c enhanced cell detachment(65)
63IHC, qPCRExpression of OPN-c is significantly elevated in squamous cell carcinoma ESCC tissue, OPN-a and OPN-b not detectedOPN-c was closely related to invasion and stage of cancer, its upregulation could be a potential diagnostic marker(66)
HCCRT-PCRTumour tissues and migratory cell lines mainly expressed both OPN-a and OPN-b; while normal liver tissues and non-migratory cell lines mainly expressed OPN-c.OPN-a and OPN-b could induce migration of HCC cells, while OPN-c had no significant effects(67)
OPN isoforms expression pattern not analysedIncreased expression of OPN-c was associated with clinical metastatic HCC(68)
Gastric cancer101qPCROPN-a is the major isoform in healthy and OPN-b was the dominant isoform in six GC cell lines; three OPN isoforms are all markedly increased in GC tissuesElevated OPN-b or OPN-c expression could correlate with clinicopathological features; OPN-b exerts the strongest anti-apoptotic effect and OPN-c most effectively stimulated GC metastatic activity(69)
PDAC40RT-PCROPN-a and OPN-b were expressed in almost all PDAC samples. OPN-c was present in 80% of patients with metastatic diseaseOPN-c was found to significantly correlate with presence of metastasis, and OPN-b with poor survival(70)
RT-PCROPN isoforms expression pattern not analysedOverexpression of OPN-b and OPN-c promoted colony formation, cell migration, and enhance an inflammatory gene profile in PDAC cells(71)
MTC6qPCROPN-a expression levels are higher than OPN-b and OPN-c expression levels (OPN-a > OPN-b > OPN-c) both in tissues and cellsTT cells overexpressing OPN-a, OPN-b and OPN-c significantly reduced growth when compared with control cells(72)
TC109qPCRCompared to OPN-b and OPN-c, OPN-a is the prevalent variant in TC tissues and cell linesOPN-a can potentially mediate invasive and metastatic potential in TC cell lines(73)
Malignant gliomaRT-PCROPN-b is markedly upregulated in U251MG cellsTherapeutic targeting of OPN must address all splice variants, in particular OPN-b(37)
Gliomas cancer45qPCR, RT-PCRThe mRNA levels of three OPN isoforms were markedly increased in gliomas tissues, and all OPN splice variants were also found in U251 and U87 cellsBoth OPN-a and OPN-c promoted glioma cell invasion (OPN-c > OPN-a), while OPN-b showed no effect on the invasion of U251 and U87 cells(74)
STS124qPCROPN-a and OPN-b are expressed at a distinctly higher level than OPN-c in STS tissuesThe mRNA expression levels of OPN-b and OPN-c were significantly correlated with the clinical outcome of STS patients(75)

OPN, osteopontin; HCC; hepatocellular carcinoma; PDAC, pancreatic ductal adenocarcinoma; MTC, medullary thyroid carcinoma; TC, thyroid carcinoma; STS, soft tissue sarcoma.

Conflicting evidence also exists regarding the function of OPN isoforms in hepatocellular carcinoma (HCC). It has been previously demonstrated that tumour tissue predominantly expressed OPN-a and OPN-b, and the ratio of OPN-a and OPN-b to OPN-c increased substantially as the tumours progressed in SK-Hep1 cells and Hep3B cells (67). Thus, it is possible that OPN-a and OPN-b may be associated with a poor prognosis, and OPN-c may prevent both cell migration and invasion in more migratory and invasive cells. By contrast, in another study, Takafuji et al (68) reported that the increased expression of OPN-c in Hep3B cells appeared to enhance cellular invasion and metastatic potential due to the formation of OPN-c fragment by MMP-9. A number of studies have also explored OPN splice variants in lung cancer. Sun et al (59) found that, compared with normal lung tissue, the majority of NSCLC samples predominantly expressed OPN-a. A similar observation was made by Blasberg et al (61), who reported that OPN-a was the dominant isoform, whereas little OPN-b and no OPN-c expression was detected in lung cancer cell lines that endogenously expressed OPN (A549, H460, H157, H1299 and Calu-3). Functionally, OPN-a promotes angiogenesis in lung cancer by stimulating endothelial cells, likely by binding to the αvβ3 integrin and increasing VEGF expression and secretion. In their study, OPN-b appeared to increase tubule formation merely by activating endothelial cells, and did so without a concomitant enhancement of VEGF secretion or expression. OPN-c had a predominantly negative effect significantly inhibiting angiogenesis and VEGF secretion. However, Zhao et al (60) suggested that OPN-b strongly affected cell proliferation, while OPN-c was closely related to the invasive behaviour of the NSCLC cell line, A549. These studies emphasise that OPN splice variants may have diverse expression patterns and different functional roles, which may be cancer type-specific.

4. Polymorphism of OPN and OPN splice variants in cancers

Secreted OPN (sOPN) and intracellular OPN (iOPN)

OPN has mainly been studied as a secreted protein, but recent studies have shown that, in some cases, OPN is not secreted and instead will be found in the cytoplasm and nucleus. Mouse OPN mRNA has the canonical AUG translation initiation site and an alternative translation initiation site. When translation initiates from the canonical site, the peptide produced is targeted to secretory vesicles. On the other hand, when translation starts from the alternative translation initiation site, the peptide produced is accompanied by deletion of a signal sequence and localises in the cytoplasm (76,77). Although sOPN and iOPN are generated from the same OPN mRNA species, the biological outcomes mediated by the two isoforms may differ (78). The role of human sOPN in cell physiology has been extensively studied in different cellular contexts. Compared with sOPN, the biological roles of iOPN have only begun to emerge over the past several years. Thus far, iOPN has been found in calvarial cells, dendritic cells, macrophages and nerve cells (77,79,80). It is involved in cell motility, cytoskeletal rearrangement and mitosis by physical association with polo-like kinase-1 (Plk-1) (81–83). Similarly, these two isoforms may play distinct roles in cancer progression. Indeed, in patients with various solid tumours, sOPN has been proposed as a diagnostic marker to distinguish either resectable cases or predict survival rates (43,84,85). However, cytoplasmic OPN expression has appeared not to correlate with average tumour size, tumour stage and nodal status (10,86). The same has been observed for OPN splice variants. For example, in a study on expression patterns of OPN variants and its functions on cell apoptosis and invasion in glioma cells, Yan et al presumed that the secretary nature of OPN splice variants may be induced by the absence of exon 5 or exon 4. As a consequence, OPN-b without out exon 5 may aggregate within the cytoplasm and exert a significant anti-apoptotic effect, while OPN-c without exon 4 may be easily secreted to culture supernatants and has a remarkable effect on cellular invasion (74). Therefore, it would be necessary to delineate which isoform of OPN is responsible for pathophysiological events, and furthermore, sOPN and iOPN should be independently targeted in any potential therapies.

Host-derived OPN and tumour-derived OPN

Tumour cells and their microenvironment mutually influence tumour formation, progression and metastasis. The tumour microenvironment includes a variety of non-tumour cell types, such as fibroblasts, immune cells, vascular and smooth muscle cells. The host's reaction to neoplastic cells and the ability of environmental modification by tumour cells themselves are both involved in tumour formation. A number of studies have demonstrated that OPN can be synthesised by tumour and other cells types in the tumour microenvironment, such as macrophages and stromal cells (87,88). However, whether tumour-derived OPN differs from host-derived OPN, either structurally or functionally, is largely unknown. There is evidence indicating that the role of OPN in metastasis is dependent on the site of production. For example, historically, stroma-derived OPN has been considered to be intrinsically involved in the defensive mechanism against tumour development by acting as a macrophage chemoattractant, yet stroma-derived OPN can effectively regulate melanoma growth, angiogenesis and metastasis with the host OPN-tumour interaction (89–91). In addition, tumour-derived OPN may promote the metastatic process by inhibiting macrophage cytotoxicity against tumours (92). By contrast, some evidence suggests that at least in some instances, the presence of OPN in macrophages promote the development and activity of type I natural killer (NK) T cells (NK T cells) and that OPN may inhibit tumour activity via these NK cells (93). Thus, host-derived OPN and tumour-derived OPN may mutually affect each other and the interaction between the tumour and tumour microenvironment may determine whether the overall effect of OPN will be tumour promoting or tumour inhibiting.

OPN splice variants polymorphism in cancers

The similar heterogeneity of OPN splice variants exists in cancers. the differential effects of the three splice variants may be due to the distinctive functions of the spliced exons that individual OPN isoforms contain. For example, the sequences encoded by exon 5, absent in OPN-b, contain one of several clusters of phosphorylated serine/threonine residues. Exon 4 however encodes two glutamine residues essential for transglutaminase cross-linking. As exon 4 is absent in OPN-c, but present in OPN-a and OPN-b, OPN-c has no specific functions exerted by exon 4 (94). In breast cancer cells, it has been reported that OPN-a, not OPN-c may have a tendency to aggregate in response to physical concentrations of calcium, and thus have a greater capacity to enhance cell adhesion (95). By contrast, OPN-c may be more soluble and able to support anchorage-independent growth of breast cancer cells (96,97). OPN-c possesses a more exposed Arg-Ser-Lys (RSK) motif compared to OPN-a (98). Using the RSK motif as a cleavage site, systemically circulating thrombin can cleave OPN-c easily into two fragments, the N-terminal and C-terminal, of approximately equivalent size (98). The N-terminal GRGDS-containing fragment produced by thrombin cleavage has the potential to enhance tumour cell migration (98). The thrombin-cleaved C-terminal fragment of OPN has also been reported to influence breast cancer cell migration and invasion in vitro (99). The absence of the transglutaminase acting site in OPN-c may explain why OPN-c cannot be cross-linked with the extracellular matrix (94). On the other hand, some investigations suggest that the possible reasons for OPN isoforms cell-type specific patterns and their roles are closely related to these differing PTMs of the three OPN splice variants. Gimba et al demonstrated that the potential of OPN-a, OPN-b and OPN-c for specific phosphorylation patterns, and the deletion of exon 4 or 5 altered the pattern of PTMs, ultimately resulting in functional modifications (46).

5. Conclusion and future perspectives

OPN was initially identified in bone and later characterised based on its splice variants and their structures and functions. It is now well established that the isoforms of OPN are differentially expressed in many tumour types and play critical roles at different stages of cancer development and progression. OPN may be a useful biomarker to monitor cancer progression and one of the significant predictors of poor prognosis and survival rates, in certain cancers for example in breast cancer and lung cancer. Thus, OPN may have several potential clinical implications: firstly, as a convenient tool for clinical test. As a secreted protein, OPN can easily detected in body fluids, such as blood, urine and body cavity fluids (namely pleural and peritoneal ascites). This gives rise to convenient sampling, taking advantages of sample quantity, safe detection, procedure speed and minimal invasiveness, collectively providing a convenient approach for clinical testing. Secondly, the power of combining OPN with other traditional biomarkers, such as VEGF, MMPs and E-cadherin, for example, provide more accurate predictions for prognosis and potential response to therapies (43,50,100). Yet, changes remain, especially given the complexity of the distribution patterns and presence of the variant forms for OPN. Methods of OPN detection are currently very limited. Traditional protein detection methods such as ELISA have shown their limit due to a lack of sensitivity and the nature of samples required for the testings. Several studies have focused on the cost-effectiveness and ease of implementing immunosensors for OPN detection demonstrating better sensitivity than ELISA assays, and providing greater potential to develop simple test kits for OPN combined with other protein biomarkers (101–104). Due to the pre- and post-translational regulation, the expression and function patterns of OPN isoforms usually exhibit tissue specificity. It has been suggested that this provides the possibility to develop cancer therapy strategies to target those OPN isoforms which are specific to tumour cells or play a key role in tumour progression. But the pre- and post-translational regulation are complex and ubiquitous, developing drugs that target only cancer cells with minimal impact on healthy cells is extremely difficult. Thus the expression patterns and activities of tumour-specific OPN isoforms should be further defined with multidisciplinary and large scale clinical study. The development of specific OPN-based approaches for individual cancer types is equally important as well. Collectively, OPN and its variants have been shown to play an important role in regulating the aggressive nature of cancer cells and promote the growth of tumours. Although there is more to learn with regards to the mechanisms of action of the specific OPN variants, it is clear that there is clinical prospect(s) for this protein and its variants. OPN appears to have good clinical value in evaluating disease progression and cancer patient outcome. There is a good prospect for developing a OPN based clinical test for cancer patients in order to evaluate their prognosis and response to therapies. Wht is most exciting is the prospect of developing tools to target the protein and its variants in novel ways. It is anticipated that in the coming years we will see some significant progress along these fronts.
  104 in total

Review 1.  Transglutaminase 2 cross-linking of matrix proteins: biological significance and medical applications.

Authors:  R J Collighan; M Griffin
Journal:  Amino Acids       Date:  2008-11-04       Impact factor: 3.520

2.  Intracellular osteopontin is an integral component of the CD44-ERM complex involved in cell migration.

Authors:  R Zohar; N Suzuki; K Suzuki; P Arora; M Glogauer; C A McCulloch; J Sodek
Journal:  J Cell Physiol       Date:  2000-07       Impact factor: 6.384

3.  Post-translationally modified residues of native human osteopontin are located in clusters: identification of 36 phosphorylation and five O-glycosylation sites and their biological implications.

Authors:  Brian Christensen; Mette S Nielsen; Kim F Haselmann; Torben E Petersen; Esben S Sørensen
Journal:  Biochem J       Date:  2005-08-15       Impact factor: 3.857

Review 4.  The immunology of Eta-1/osteopontin.

Authors:  G F Weber; H Cantor
Journal:  Cytokine Growth Factor Rev       Date:  1996-10       Impact factor: 7.638

5.  Osteopontin splice variant as a potential marker for metastatic disease in pancreatic adenocarcinoma.

Authors:  Ali A Siddiqui; Elizabeth Jones; Darren Andrade; Apeksha Shah; Thomas E Kowalski; David E Loren; Galina Chipitsyna; Hwyda A Arafat
Journal:  J Gastroenterol Hepatol       Date:  2014-06       Impact factor: 4.029

6.  [Correlation study between OPN, CD44v6, MMP-9 and distant metastasis in laryngeal squamous cell carcinoma].

Authors:  Lihua Yang; Xiaoling Shang; Xiufang Zhao; Yuanyuan Lin; Junchao Liu
Journal:  Lin Chung Er Bi Yan Hou Tou Jing Wai Ke Za Zhi       Date:  2012-11

7.  Osteopontin and splice variant expression level in human malignant glioma: radiobiologic effects and prognosis after radiotherapy.

Authors:  Antje Güttler; Maria Giebler; Peter Cuno; Henri Wichmann; Jacqueline Keßler; Christian Ostheimer; Ariane Söling; Christian Strauss; Jörg Illert; Matthias Kappler; Dirk Vordermark; Matthias Bache
Journal:  Radiother Oncol       Date:  2013-07-25       Impact factor: 6.280

8.  Changes in the transcriptional profile in response to overexpression of the osteopontin-c splice isoform in ovarian (OvCar-3) and prostate (PC-3) cancer cell lines.

Authors:  Tatiana M Tilli; Akeila Bellahcène; Vincent Castronovo; Etel R P Gimba
Journal:  BMC Cancer       Date:  2014-06-13       Impact factor: 4.430

9.  Osteopontin is a multi-faceted pro-tumorigenic driver for central nervous system lymphoma.

Authors:  Qiu Yushi; Zhimin Li; Christina A Von Roemeling; Heike Doeppler; Laura A Marlow; Betty Y S Kim; Derek C Radisky; Peter Storz; John A Copland; Han W Tun
Journal:  Oncotarget       Date:  2016-05-31

10.  Functional characterization of stromal osteopontin in melanoma progression and metastasis.

Authors:  Santosh Kumar; Priyanka Sharma; Dhiraj Kumar; Goutam Chakraborty; Mahadeo Gorain; Gopal C Kundu
Journal:  PLoS One       Date:  2013-07-23       Impact factor: 3.240

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  31 in total

Review 1.  Influence of transcriptional variants on metastasis.

Authors:  Joice De Faria Poloni; Diego Bonatto
Journal:  RNA Biol       Date:  2018-07-24       Impact factor: 4.652

2.  Knockdown of CD44 expression decreases valve interstitial cell calcification in vitro.

Authors:  Lauren Baugh; Matthew C Watson; Erica C Kemmerling; Philip W Hinds; Gordon S Huggins; Lauren D Black
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-04-05       Impact factor: 4.733

3.  Osteopontin in Vascular Disease.

Authors:  Zoe Shin Yee Lok; Alicia N Lyle
Journal:  Arterioscler Thromb Vasc Biol       Date:  2019-04       Impact factor: 8.311

Review 4.  The role of integrins in melanoma: a review.

Authors:  Suzette M Arias-Mejias; Katerina Y Warda; Enrica Quattrocchi; Hector Alonso-Quinones; Sindhuja Sominidi-Damodaran; Alexander Meves
Journal:  Int J Dermatol       Date:  2020-03-10       Impact factor: 2.736

Review 5.  Multiple Pathways for Pathological Calcification in the Human Body.

Authors:  Netta Vidavsky; Jennie A M R Kunitake; Lara A Estroff
Journal:  Adv Healthc Mater       Date:  2020-12-04       Impact factor: 9.933

6.  The Biomarkers for Predicting Viral HepatitisAssociated Hepatocellular Carcinoma.

Authors:  Qing Yang; Changfeng Sun; Yunjian Sheng; Wen Chen; Cunliang Deng
Journal:  Turk J Gastroenterol       Date:  2022-01       Impact factor: 1.555

Review 7.  The Roles of Matricellular Proteins in Oncogenic Virus-Induced Cancers and Their Potential Utilities as Therapeutic Targets.

Authors:  Naoyoshi Maeda; Katsumi Maenaka
Journal:  Int J Mol Sci       Date:  2017-10-21       Impact factor: 5.923

8.  Estimation of Hub Genes and Infiltrating Immune Cells in Non-Smoking Females with Lung Adenocarcinoma by Integrated Bioinformatic Analysis.

Authors:  Jie Li; Ben Wang; Xin Li; Yuxi Zhu
Journal:  Med Sci Monit       Date:  2020-07-16

9.  Bioinformatics Analysis of Key Genes and circRNA-miRNA-mRNA Regulatory Network in Gastric Cancer.

Authors:  Yiting Tian; Yang Xing; Zheng Zhang; Rui Peng; Luyu Zhang; Yan Sun
Journal:  Biomed Res Int       Date:  2020-08-22       Impact factor: 3.411

Review 10.  Mother and Embryo Cross-Communication.

Authors:  Anna Idelevich; Felipe Vilella
Journal:  Genes (Basel)       Date:  2020-03-31       Impact factor: 4.096

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