Abstract
The ability of cancer cells to survive and grow in anchorage- and serum-independent conditions is well correlated with their aggressiveness. Here, using a human whole-genome shRNA library, we identify TMIGD3 isoform1 (i1) as a factor that suppresses this ability in osteosarcoma (OS) cells, mainly by inhibiting NF-κB activity. Knockdown of TMIGD3 increases proliferation, tumour formation and metastasis of OS cells. Overexpression of TMIGD3 isoform1 (i1), but not isoform3 (i3) which shares a common C-terminal region, suppresses these malignant properties. Adenosine A3 receptor (A3AR) having an identical N-terminal region shows similar biological profiles to TMIGD3 i1. Protein expression of TMIGD3 and A3AR is lower in human OS tissues than normal tissues. Mechanistically, TMIGD3 i1 and A3AR commonly inhibit the PKA−Akt−NF-κB axis. However, TMIGD3 i1 only partially rescues phenotypes induced by A3AR knockdown, suggesting the presence of distinct pathways. Our findings reveal an unappreciated role for TMIGD3 i1 as a suppressor of NF-κB activity and OS progression.
The ability of cancer cells to survive in anchorage-independent conditions correlates with cancer aggressiveness. Here, by screening a human whole-genome shRNA library for the ability of osteosarcoma cells to form spheres in vitro, the authors identify a role for TMIGD3 isoform 1 in suppressing the metastatic potential of osteosarcoma.
Osteosarcoma (OS) is the second leading cause of cancer-related death affecting children and adolescents1. Micro-metastases in OS, which eventually progress to macro-metastases, are very common at the time of diagnosis2. The survival rate for metastatic OS remains at 20% for the past 30 years3,4. In addition, the last two decades have seen no advances in early detection or targeted therapeutic strategies against metastatic OS3,4. This is primarily due to our limited understanding of the molecular underpinnings which drive these malignant properties in OS.
Recent advances in scientific technologies and bioinformatics have enabled unbiased genome-wide analyses to identify potential candidate genes that affect cancer-associated phenotypes. In human OS, several studies have demonstrated high occurrence of chromosome instability, the presence of susceptibility loci and altered gene expression patterns5,6,7,8. A recent whole-genome sequence analysis revealed recurrent somatic alterations in cancer genomes of paediatric OS, including translocations in the first intron of the p53 gene9. In addition, a multi-stage genome-wide association study found association of a single-nucleotide polymorphism in the Nuclear factor 1B gene with OS metastasis10. Moreover, several genes and signalling pathways were identified as factors involved in OS progression via a Sleeping Beauty forward genetic screen11. Thus, accumulating evidence has uncovered genetic profiles and crucial factors contributing towards OS development and metastasis. Yet, the exact mechanisms underlying malignant properties of OS remain unclear.
Malignant properties of cancer cells are well correlated with their abilities to overcome cell death (anoikis: anchorage-dependent cell death) and proliferation arrest induced by loss of cell adhesion and nutritional deprivation12,13. Cancer cells that grow in these conditions can form spheres and show high tumour-forming and metastatic potential, as well as resistance to chemotherapeutic drugs14,15. However, factors that regulate sphere formation are not well understood. Identifying and characterizing these regulators would significantly advance our knowledge of molecular mechanisms behind malignant progression of cancer. We hypothesize that genes, which suppress sphere formation, would probably inhibit malignant characteristics of OS. To test this hypothesis, we have attempted to identify genes that regulate sphere-forming potential of SJSA-1 OS cells by screening a human whole-genome short hairpin RNA (shRNA) library. This screening identifies a previously uncharacterized gene, TMIGD3 (transmembrane and immunoglobulin (Ig) domain containing 3), as a suppressor of malignant properties of OS. There are two isoforms of TMIGD3, i1 and i3, sharing all except for the first exon; only TMIGD3 i1, but not i3, plays crucial roles in suppression of malignant characteristics of OS. In addition, the first exon of TMIGD3 i1 is shared with the first exon of adenosine A3 receptor isoform2 (A3AR i2, commonly known as A3AR), a well-studied Gi protein-associated G-protein coupled receptor (GPCR) implicated in suppression of immunological response and tumorigenesis16,17,18. Protein expression of both TMIGD3 and adenosine A3 receptor (A3AR) in human OS tissues is lower than that in osteoblasts of normal bone. TMIGD3 i1 and A3AR show similar biological profiles with inhibitory effects on the PKA (protein kinase A)−Akt (or protein kinase B, PKB)−NF-κB (nuclear factor-κB) axis. However, non-overlapping functions are also present between these proteins. This is the first report demonstrating the roles of TMIGD3 i1, in the suppression of OS malignancy, as well as NF-κB activity, a commonly deregulated pathway in multiple cancers including OS.
Results
TMIGD3 as a factor that suppresses sphere formation
We attempted to identify factors that could regulate sphere formation of OS cells through a genome-wide screening. First, to determine an appropriate cell line to be used for screening, we tested sphere-forming potential of several OS cell lines, including U2OS, Saos2, SJSA-1, MG63 and KHOS/NP cells, in anchorage- and serum-independent sphere-specific conditions in ultra-low attachment 96-well plates. We seeded 20 cells per well so that each sphere was of a clonal origin and not derived from aggregates. To measure the sphere-forming potential, we counted spheres with sizes >30 μm in diameter and categorized the formed spheres into two groups by sizes: 30–75 μm and >75 μm. We observed no sphere formation from U2OS and Saos2 cells, low sphere-forming potential in SJSA-1 cells and high potential in MG63 and KHOS/NP cells (Supplementary Table 1). We chose SJSA-1 cells for further screening purposes, as it retained the ability to form spheres and sizes of all spheres were <75 μm, thus having a low background. SJSA-1 cells were then infected with a human whole-genome shRNA lentiviral vector library at 0.2 multiplicity of infection, so that only a single shRNA was present per cell resulting in downregulation of a single gene/factor, which would contribute towards increased sphere-forming potential. After selection with puromycin, the infected cells were subjected to sphere-formation assays (first screening, Fig. 1a). Spheres formed with sizes >75 μm in diameter were isolated, cultured for expansion and then subjected to secondary sphere-formation assays, to further confirm their increased sphere-forming potential and to rid false positives (second sphere assay, Fig. 1a). Nine clones were selected, as they formed spheres >75 μm in diameter with a frequency of >2%, which was significantly higher than that of parental SJSA-1 cells (<1%, Supplementary Table 1). These nine clones were expanded, followed by genomic DNA isolation. PCR was performed using specific PCR primers flanking the shRNA site and the PCR products were further sequenced to identify the target sequences within shRNAs (Fig. 1a). Our sequencing results of nine clones identified seven genes (Supplementary Table 2). Three of the nine spheres had the same shRNA against the gene TMIGD3. To further validate the effects of these seven genes/factors on sphere-forming potential of SJSA-1 cells, we infected SJSA-1 cells with lentiviral vectors encoding each shRNA identified for these seven genes (Fig. 1b). Knockdown of all the genes, except zinc finger RNA binding protein 2 (ZFR2), recapitulated the sphere-forming ability and satisfied the criteria (>75 μm, >2%). Of these, SJSA-1 cells infected with lentiviral vectors encoding shRNAs for TMIGD3 and spermatogenesis and centriole associated 1 (SPATC1) showed the highest sphere-forming abilities (Fig. 1b). As three clones contained the shRNA for TMIGD3, we decided to further characterize TMIGD3 for its role in OS progression.
TMIGD3 knockdown enhances malignancy of OS cells
TMIGD proteins are a group of proteins that contain an ‘Ig-like fold'. TMIGD1 is implicated in cell differentiation and adhesion19,20, whereas TMIGD2 is implicated in cancer immunosuppression as a receptor of HHLA2, a B7 family member21. However, there is no previous report about TMIGD3. TMIGD3 comprises of two identified isoforms: i1 and i3, with exclusive first exons (A1/T1), whereas their carboxy-terminal region (exons T2–T6) is overlapped (Fig. 2a). Intriguingly, there is a splicing variant for TMIGD3 i1 that shares the first exon (A1), which is well characterized as A3AR, one of the four adenosine receptors with a typical seven-transmembrane helical structure of a GPCR and is implicated in the suppression of several cancers and autoinflammatory diseases16. Thus, TMIGD3 i1 is sometimes referred to as A3AR i1, whereas A3AR is precisely A3AR isoform2 (i2). Although TMIGD3 i3 does not have any overlapping region with A3AR, it is still occasionally called as A3AR i3, probably because these genes are present in the same chromosomal locus (Fig. 2a). To avoid confusion, we followed TMIGD3 i1 and i3 nomenclature, instead of using A3AR i1 and i3, as these proteins share an Ig-like domain in the common C-terminal region and their functions as adenosine receptors are unknown.
Our identified shRNA for TMIGD3 (T6U) was located in the 3′-untranslated region (UTR), which targets both TMIGD3 i1 and i3, but not A3AR. To further confirm the significance of TMIGD3 in the malignant properties of OS, we used another shRNA (T3) to downregulate the expression of TMIGD3 (Fig. 2a). Successful knockdown of TMIGD3 by T6U and T3 shRNAs was confirmed by western blotting using our generated PAb128 antibody, a peptide antibody against amino acid (aa) sequences in the exon T3 (Fig. 2b and Supplementary Fig. 1a). Following TMIGD3 knockdown, we observed increase in sphere formation of SJSA-1, Saos2 and MG63 OS cells (Fig. 2b and Supplementary Fig. 1b). As TMIGD3 i1 shares its amino-terminal 117aa with A3AR and the role of A3AR in the suppression of other cancers is established, we wanted to query the importance of A3AR in the sphere-forming ability of OS cells. Knockdown of A3AR with two different shRNAs (A2a and A2b) increased the sphere-forming ability of SJSA-1 (Fig. 2c), as well as Saos2 and MG63 cells (Supplementary Fig. 1c,d).
Knockdown of TMIGD3 or A3AR also increased cell proliferation of SJSA-1 cells (Fig. 2d). In addition, knockdown of TMIGD3 or A3AR enhanced migration of SJSA-1 and Saos2 cells (Fig. 2e,f). These results suggest that both TMIGD3 and A3AR could play roles in suppressing malignant progression of OS cells.
Association of reduced TMIGD3 or A3AR with OS malignancy
To further address the effects of TMIGD3 and A3AR on OS malignancy in vivo, we performed subcutaneous tumour growth assays following knockdown of TMIGD3 or A3AR. We observed that downregulation of TMIGD3 or A3AR led to increase in tumour growth in SJSA-1 cells (Fig. 3a). Interestingly, concomitant knockdown of TMIGD3 and A3AR showed a cooperative effect on tumour growth (Supplementary Fig. 2a). We further performed orthotopic tumour transplantation assays by injecting SJSA-1 and Saos2 cells with or without knockdown of TMIGD3 into the femurs of immunocompromised NOD-scid IL2Rγnull mice22. Knockdown of TMIGD3 significantly enhanced primary tumour growth in femurs and metastasis formation in the lungs (SJSA-1) or the livers (Saos2, Fig. 3b). As TMIGD3 knockdown increased metastasis, we also performed tail vein injection assays to test the ability of tumour cell colonization in the lungs. Consistently, SJSA-1 cells with knockdown of TMIGD3 by T6U or T3 shRNAs dramatically increased lung metastases (Fig. 3c). Similarly, knockdown of A3AR (A2a) in SJSA-1 cells also enhanced tumour growth and lung metastasis in orthotopic injection assays, although metastases were not as robust as TMIGD3 knockdown (Fig. 3d).
To further address the clinical significance of TMIGD3 and A3AR in OS, we examined the expression levels of these proteins in human tissues. We first validated our generated TMIGD3 antibody (PAb128) for the use of immunohistochemistry (IHC) using SJSA-1-derived tumour tissues with or without TMIGD3 knockdown. Membrane distribution of TMIGD3 protein was observed in the control tumour, whereas in the TMIGD3-knockdown tumour (T6U) the staining intensity was low, thus confirming the specificity of the PAb128 antibody (Supplementary Fig. 2b). Using this antibody and a commercially available A3AR antibody, we performed IHC for these proteins in primary and metastatic human OS tissues, as well as normal lung and bone tissues as controls. Strong cytoplasmic staining of both TMIGD3 and A3AR was observed in the bronchial cells in normal lungs and osteoblasts in normal bone tissues (Fig. 3e). However, levels of both TMIGD3 and A3AR were significantly reduced in both primary and metastatic human OS tissues. We did not find any significant difference in the expression of both TMIGD3 and A3AR between primary and metastatic OS. These data suggest that reduced expression of TMIGD3 or A3AR is associated with malignant properties of OS in vivo and clinically.
Inhibition of OS malignancy by TMIGD3 i1 and A3AR but not i3
TMIGD3 has two isoforms (i1 and i3) that share the C-terminal region containing the Ig-like fold (Fig. 2a). As the shRNAs used in our study (T6U and T3) target both TMIGD3 i1 and i3, it remains unclear which isoform(s) are responsible for phenotypes associated with OS malignancy following TMIGD3 knockdown. To address this concern and further compare their biological phenotypes with that of A3AR, we stably infected lentiviral vectors encoding complementary DNAs (cDNA, coding region) for TMIGD3 i1 (cTi1), TMIGD3 i3 (cTi3) and A3AR (cA3), as well as empty vector (V), in SJSA-1 and KHOS/NP cell lines. Cell proliferation assays showed that overexpression of TMIGD3 i1 and A3AR, but not TMIGD3 i3, significantly inhibited proliferation of both the cell lines (Fig. 4a). Intriguingly, western blotting for these proteins revealed that both TMIGD3 i1 and TMIGD3 i3 ran at almost the same size at ∼54 kDa, higher than their predicted sizes of ∼40 kDa and ∼30 kDa, respectively (Fig. 4a). To validate this, we performed western blotting using cells transfected with Flag-tagged TMIGD3 i3 (Fl-cTi3), together with non-tagged TMIGD3 i1 and i3, and found that even Flag-tagged TMIGD3 i3 ran at a similar size to TMIGD3 i1 and i3 (Supplementary Fig. 3a). It should be noted that similar differences in predicted size versus actual size have been observed previously for both TMIGD1 and TMIGD2, due to posttranslational modifications such as N-glycosylation19,23. We then performed sphere-formation assays using SJSA-1, KHOS/NP and MG63 cells following overexpression of TMIGD3 i1, TMIGD3 i3 or A3AR. KHOS/NP and MG63 cells are highly aggressive OS cell lines with high sphere-forming potential (Supplementary Table 1). In accordance with the proliferation assay results, TMIGD3 i1 and A3AR, but not TMIGD3 i3, significantly suppressed sphere formation of SJSA-1 and KHOS/NP cell lines (Fig. 4b). Similarly, TMIGD3 i1 and A3AR both suppressed sphere formation of MG63 cells (Supplementary Fig. 3b). These results suggest that TMIGD3 i1, but not i3, suppresses malignant properties of OS, similar to A3AR.
We next wanted to address possible off-target effects of used shRNAs and examine whether overexpression of TMIGD3 i1 or TMIGD3 i3 could rescue increased sphere formation of SJSA-1 cells by TMIGD3 knockdown. Overexpression of TMIGD3 i1 successfully nullified the increased sphere formation by T6U and T3 shRNAs, whereas TMIGD3 i3 overexpression failed to do so (Fig. 4c). Similarly, overexpression of A3AR cDNA (coding region) cancelled the increased sphere formation by the A2a shRNA (Fig. 4d). Of note, although A3AR overexpression sufficiently rescued protein levels of A3AR, the A2a shRNA could still target exogenously expressed A3AR (Fig. 4d). Hence, we set up another shRNA targeting the 3′-UTR of A3AR (A2U). Increased sphere formation of SJSA-1 cells by the A2U shRNA was successfully rescued by overexpression of A3AR coding region (Supplementary Fig. 3c). In addition, we also set up a small interfering RNA (siRNA) that spans the splicing junction of exons A1 and T2 (ATa), and found that the ATa siRNA successfully reduced TMIGD3 i1 alone with minimal effects on TMIGD3 i3 and A3AR in KHOS/NP cells that were overexpressed for TMIGD3 i1, TMIGD3 i3 or A3AR, as KHOS/NP cells endogenously expressed low levels of these proteins (Supplementary Fig. 3d). Knockdown of TMIGD3 i1 by the ATa siRNA consistently increased sphere formation of SJSA-1 cells (Supplementary Fig. 3e). These results strongly corroborate the observed increase in sphere formation by shRNAs targeting TMIGD3 and A3AR, and eliminate possible off-target effects.
In addition, overexpression of TMIGD3 i1 and A3AR, but not TMIGD3 i3, inhibited migration of SJSA-1 and KHOS/NP cells (Fig. 4e), as well as tumour growth of SJSA-1 cells (Fig. 4f), thereby suggesting that TMIGD3 i1 and A3AR suppress malignant properties of OS cells in vitro and in vivo.
Regulation of the NF-κB pathway by TMIGD3 i1 and A3AR
Our results demonstrated similar biological profiles between TMIGD3 i1 and A3AR. To mechanistically understand functional similarity of TMIGD3 i1 with A3AR, we first performed web-based domain analyses using protein structure prediction sites, including PredictProtein server (https://www.predictprotein.org/) and SOSUI (http://harrier.nagahama-i-bio.ac.jp/sosui/sosui_submit.html), which identified two transmembrane helices at the C-terminal region of TMIGD3 i1 (aa129–151 and aa291–313), in addition to 3 transmembrane helices within the first 117 amino acids shared with A3AR, as well as a known Ig-like fold at the C-terminal region (aa167–256, Supplementary Fig. 4). Given that A3AR is a GPCR with seven-transmembrane helices24 and TMIGD3 i1 preserves a part of the A3AR structure, we questioned whether TMIGD3 i1 could regulate signalling similar to A3AR, which is known to inhibit three major cancer-associated signalling including the NF-κB, β-catenin and Erk pathways (Supplementary Fig. 5a)25,26. To address this, we examined cellular localization of NF-κB (p65), β-catenin and p-Erk1/2, as nuclear localization of these proteins is well correlated with their activities. We observed that knockdown of TMIGD3 (T6U) significantly increased nuclear localization of p65 with minimal effects on β-catenin and p-Erk1/2 localization in SJSA-1 cells, similar to A3AR knockdown by the A2a shRNA (Fig. 5a). We also confirmed minimal effects of TMIGD3 and A3AR knockdown on the β-catenin activities by TOPFlash T-cell factor/lymphoid enhancer factor (TCF/LEF)-responsive firefly luciferase reporter assays (Supplementary Fig. 5b). We further confirmed increased NF-κB activity by p65 accumulation in the nuclear fraction (Fig. 5b), increase in p65 phosphorylation at serine 536 (Fig. 5c), increase in the NF-κB transcriptional activity through luciferase reporter assays (Fig. 5d) and increased messenger RNA transcript levels of NF-κB downstream targets cyclin D1, cMyc, IL-8 and CXCL1 (Fig. 5e), following knockdown of TMIGD3 or A3AR in SJSA-1 cells. In addition, increased nuclear localization of p65 in SJSA-1 cells by knockdown of TMIGD3 (T6U) or A3AR (A2a) was abrogated by overexpression of TMIGD3 i1 (cTi1) or A3AR (cA3), respectively (Fig. 5f), suggesting that increase in the NF-κB activities by the T6U and A2a shRNAs were not due to their off-target effects. In addition, immunofluorescence studies revealed reduced levels of IκB, an inhibitor of NF-κB, following knockdown of TMIGD3 or A3AR (Fig. 5g). These results suggest that both TMIGD3 i1 and A3AR may suppress malignant properties of OS by inhibiting NF-κB activity.
To examine a possible correlation of expression levels of TMIGD3 or A3AR with NF-κB activity in different OS cell lines, we performed western blotting for TMIGD3, A3AR and IκB. We observed that U2OS, Saos2 and SJSA-1 cells with low sphere-forming potential had high levels of TMIGD3 and A3AR, as well as IκB, whereas MG63 and KHOS/NP cells with high sphere-forming potential had low levels of these proteins (Fig. 5h and Supplementary Table 1).
We next examined whether enhanced malignancy associated with TMIGD3 knockdown could be rescued by simultaneous knockdown of NF-κB/p65. Indeed, concomitant knockdown of p65 attenuated sphere formation and subcutaneous tumour growth of SJSA-1 cells enhanced by TMIGD3 knockdown (Fig. 5i,j). It should be noted that the observed effects of p65 knockdown were partial and not complete. These data suggest that suppressive effects of TMIGD3 i1 and A3AR on the malignant properties of OS cells are regulated mainly, but not solely, through inhibition of NF-κB activity.
Distinct pathways regulated by TMIGD3 i1 and A3AR
Our data suggest that suppressive effects of TMIGD3 and A3AR on the malignant properties of OS cells could be regulated by differential pathways other than the NF-κB pathway. We hence compared signalling pathways altered by knockdown of either TMIGD3 or A3AR through an unbiased luciferase-based signal array experiment in SJSA-1 cells (Fig. 6a). First, we noted that knockdown of TMIGD3 or A3AR consistently showed increase in the NF-κB activity. Second, the activities of TCF/LEF (transcription factors for β-catenin signalling) and Elk-1 (downstream of Erk signalling) were either undetectable or unaffected by knockdown of TMIGD3 or A3AR, supporting our results in Fig. 5a. Finally, there were distinct pathways altered by knockdown of these proteins (Fig. 6a).
We next inquired whether TMIGD3 i1 compensated for increase in sphere formation by A3AR knockdown. Overexpression of TMIGD3 i1 (cTi1) only partially suppressed the increased sphere formation of SJSA-1 cells by A3AR knockdown, whereas A3AR overexpression (cA3) nullified it (Fig. 6b). These data further suggest that A3AR could regulate sphere-forming potential via both overlapping and non-overlapping pathways with TMIGD3 i1.
We then attempted to investigate whether or not TMIGD3 i1 could inhibit upstream signalling of NF-κB similar to A3AR. We first examined the effect of TMIGD3 i1 overexpression on IκB levels in SJSA-1 cells downregulated for A3AR. Western blotting and immunofluorescence studies revealed that reduced IκB levels following A3AR knockdown were significantly restored on TMIGD3 i1 overexpression, similar to A3AR overexpression (Fig. 6c). We next examined the effects of TMIGD3 i1 on activities of PKA and Akt, known upstream regulators of IκB and downstream effectors of A3AR. The activities of PKA and Akt were assessed by measuring phosphorylation status of CREB at serine 133 (S133) and Akt at serine 473 (S473), respectively. Knockdown of TMIGD3 or A3AR resulted in increased phosphorylation of CREB and Akt (Fig. 6d, left), whereas overexpression of TMIGD3 i1 or A3AR showed reduction in the phosphorylation of these two proteins (Fig. 6d, middle). Moreover, increased phosphorylation of CREB and Akt in A3AR knockdown cells was significantly attenuated when either A3AR or TMIGD3 i1 was overexpressed (Fig. 6d, right). Thus, TMIGD3 i1 regulates the PKA−Akt−IκB−NF-κB axis, similar to A3AR, thus reiterating the significance of the GPCR-regulated NF-κB pathway as a potential target for cancer therapy.
Going further upstream in the pathway, the first response in the signalling cascade for A3AR is modulation of cyclic AMP (cAMP) levels through regulation of adenylyl cyclase activity. We hence examined whether TMIGD3 i1 could cancel the effects of A3AR knockdown on cAMP levels in SJSA-1 cells (Fig. 6e). SJSA-1 cells downregulated for A3AR, along with overexpression of A3AR or TMIGD3 i1, were measured for cAMP levels following treatment with an A3AR-specific agonist CF102 (Cl-IB-MECA). We observed a dose-dependent decrease in cAMP levels on treatment with CF102 in control cells, which was not observed in cells downregulated for A3AR, although base levels of cAMP were increased regardless of CF102 treatment. Concomitant overexpression of A3AR cancelled the effects of A3AR knockdown and restored the dose-dependent response to CF102. Intriguingly, overexpression of TMIGD3 i1 in A3AR knockdown cells rescued the increased levels of cAMP to a certain level, but did not restore the dose-dependent response to CF102 (Fig. 6e). Western blotting revealed that levels of IκB increased following treatment with CF102 in control SJSA-1 cells. IκB levels were reduced on A3AR knockdown, which remained unchanged following treatment with CF102. Concomitant overexpression of A3AR restored reduced IκB levels by A3AR knockdown, with further increase in response to CF102. Consistent with the results in Fig. 6e, reduced IκB levels by A3AR knockdown were rescued by concomitant overexpression of TMIGD3 i1, but CF102 treatment failed to further increase IκB levels (Fig. 6f). In addition, we confirmed that knockdown of TMIGD3 or A3AR did not significantly alter levels of A3AR or TMIGD3, respectively, in SJSA-1 and Saos2 cells (Supplementary Fig. 6a,b). These results suggest that TMIGD3 i1 can substantially rescue the PKA−Akt−IκB−NF-κB axis but can only partially rescue cAMP levels induced by A3AR knockdown, suggesting a distinct function from A3AR. Taken together, our results indicate that TMIGD3 i1 suppresses malignant properties of OS via both overlapping and non-overlapping signalling pathways with A3AR.
Discussion
TMIGD3 i1 is an uncharacterized protein whose function is completely unknown. The present study reveals a suppressive role for TMIGD3 i1 in malignant progression of OS. The functions of TMIGD3 i1 are largely mediated through inhibition of NF-κB activity via the PKA−Akt−IκB−NF-κB axis, similar to A3AR. In addition, our unbiased luciferase-based pathway analyses indicate distinct signalling pathways regulated by TMIGD3 from A3AR that may further contribute towards OS suppression. These include p53, Pax6, retinoic acid X receptor, AhR (aryl hydrocarbon receptor), GLI and progesterone receptor. Detailed studies questioning the significance of these pathways in OS progression and their relationship to TMIGD3 i1 or A3AR should be further elaborated on in the near future. Our initial screening did not identify A3AR as a candidate that suppressed sphere formation. This is probably because not all the shRNAs present in this library were validated at the time of purchase and the shRNAs for A3AR in the library might not be efficient enough to knock down A3AR.
Intriguingly, our data suggest that TMIGD3 i1 could also suppress cellular cAMP levels, as TMIGD3 i1 overexpression partially reduces cAMP levels induced by A3AR knockdown. However, considering that TMIGD3 i1 overexpression does not restore response to CF102 and TMIGD3 i1 does not have a typical GPCR structure, the observed reduction in cAMP levels by TMIGD3 i1 could be via its effect on other GPCRs including other adenosine receptors. It also remains unclear what can activate TMIGD3 i1 signalling, if adenosine could still be a ligand for TMIGD3 i1, and if TMIGD3 i1 could partially retain function as a GPCR. In addition, it would be important to characterize unappreciated roles of TMIGD3 i1 in the suppression of other types of cancer or immune-inflammatory diseases, similar to A3AR. Intriguingly, both TMIGD3 i1 and A3AR inhibit sphere-forming potential, which raises the possibility that they may also regulate stem-like properties of OS including tumour-initiating potential and self-renewability. Future studies are necessary to determine their roles in the regulation of stemness in OS.
Our data indicate that reduced expression of TMIGD3 is associated with OS progression. Moreover, we find that TMIGD3 i1, but not i3, plays roles in suppression of OS malignancy by overexpressing these isoforms. However, our generated PAb128 antibody detects both isoforms. Of note, it is challenging to generate antibodies that can exclusively identify TMIGD3 i1, as its N-terminal region is identical with A3AR, whereas its C-terminal region is identical with TMIGD3 i3. Generation of antibodies detecting a specific region in the splicing junction of exon A1 and exon T2 would be necessary to clearly discriminate TMIGD3 i1 from TMIGD3 i3 and A3AR. Nonetheless, our results suggest that protein expression of both TMIGD3 and A3AR in OS tissues is significantly lower than that in normal bone and lungs. Although the mechanisms behind reduced expression of these genes remain to be investigated, mRNA expression of TMIGD3 i1 and A3AR could be similarly regulated among different types of tissues or cancers, as transcription of these genes is likely to be driven by the same promoter. It would be important to determine the epigenetic and transcriptional regulation of these genes that could lead to its silencing specifically in cancer. In addition, future studies to determine expression patters of TMIGD3 i1 in different tissue types and cancers are required for revealing its role in various types of cancer. Interestingly, A3AR is shown to be overexpressed in some cancer types including prostate, colon and breast cancer17,27. Protein expression of TMIGD3 i1 might also be high in these cancers or could be regulated differently from A3AR. Moreover, expression of these proteins may be regulated in a cell type- and tissue context-dependent manner.
It should be noted that there is no significant difference in the expression of TMIGD3 and A3AR between primary and metastatic OS. This could be because expression of these genes may be lost during early stages of OS genesis. A caveat in this study is the lack of detailed patients' information to establish a correlation between expression of TMIGD3 or A3AR and clinical staging of the disease or prognosis, which should be determined as a future study.
According to cBioPortal (http://www.cbioportal.org/), there are cancer-associated mutations in the TMIGD3 and A3AR genes. These mutations comprise missense and truncating mutations, the majority being missense mutations. These mutations are present throughout both the genes. Two hotspot mutations (V171I, R205Q) are detected in the A3AR gene, whereas no hotspot mutation is found in the TMIGD3 i1 gene. Nonetheless, the functional significance of these cancer-associated mutations on OS progression remains to be investigated. It should be noted that A3AR knockout mice are not tumour prone and show an increased inflammatory response28. Thus, both A3AR and TMIGD3 i1 may not be typical tumour suppressors and rather be tumour modifiers. To examine the in vivo significance of A3AR, as well as TMIGD3 i1, on tumour progression, crossing knockout mouse for A3AR or TMIGD3 i1 with a mouse model of cancer would be necessary.
Finally, agonists for A3AR including CF102 are currently under clinical trials for several diseases including hepatocellular carcinoma and rheumatoid arthritis16,29,30, whereas it would be necessary to discover compounds that activate TMIGD3 i1 signalling. However, of note, success of clinical trials may rely on the expression levels of TMIGD3 i1 and A3AR in tumours. As our study suggests low expression of TMIGD3 i1 and A3AR in OS tissues, the role of agonists is counter-intuitive. Hence, restoration of TMIGD3 i1 and A3AR expression levels in tumours is required while using their respective agonists. Alternatively, given that enhanced activity of NF-κB is implicated in increased chemoresistance and progression of multiple cancers including OS31,32,33, targeting NF-κB and its upstream effectors could be a promising therapeutic strategy for OS.
Methods
Cell lines
All the human OS cell lines including SJSA-1, U2OS, KHOS/NP, MG63 and Saos2 were purchased from ATCC and maintained in DMEM medium or Roswell Park Memorial Institute medium with 10% fetal bovine serum (FBS) and 1% penicillin–streptomycin in a humidified incubator at 37 °C with 5% CO2. The cell lines used in this study are not present in the database of commonly misidentified cell lines maintained by ICLAC. All cell lines were authenticated using STR profiling and tested negative for mycoplasma contamination.
shRNAs and primers
A human whole-genome shRNA library was purchased from Open Biosystems (RHS4847, Decode RNAi-GIPZ: whole genome screening library-Positive selection kit). The following primers were used for PCR amplification of target shRNAs: forward primer (PRM 5023) and reverse primer (PRM 5035, Open Biosystems). To identify shRNAs, the following primer was used for sequencing: 5′-GCATTAAAGCAGCGTATC-3′.
The shRNAs/siRNAs used are as follows: T6U: 5′-AAGAACTAAGATCTTGAGATG-3′ (catalogue number VGH5518-200202459, GE Healthcare, Dharmacon Inc.), T3: 5′-TAGTTGCAGATGGCAGAAG (HSH003091-3-HIVmH1, Genecopoeia, Inc.), A2a: 5′-TTCTTCTGTGAGTGGTGAC (VGH5518-200180351), A2b: 5′-TGATGATAGATAAAGGCAG (VGH5518-200176914), A2U: 5′-TTGTCAGTAAGTCAACTAG (VGH5518-200223457, GE Healthcare, Dharmacon Inc.) and ATa: 5′-GCTTACCGTCAGATTCAGA (GE Healthcare, Dharmacon Inc.).
Plasmids
Lentiviral vector encoding TMIGD3 i1 (accession number NM_020683) was purchased from GeneCopoeia (EX-Z4782-Lv152). This vector contains the entire coding sequence for TMIGD3 i1 from start codon to stop codon without 3′-UTR, as well as hygromycin-resistant gene. The cDNA for A3AR and TMIGD3 i3 were purchased from Open Biosystems (MHS1010-7507630 Clone ID: 5176221, accession number BC029831; MHS1010-9206079 Clone ID: 5744223, accession number BC064411). The A3AR and TMIGD3 i3 cDNA without 3′-UTR were subcloned into pCDH-CMV-MCS-EF1-Puro (CD510B-1, SBI System Biosciences).
Western blotting
Cells were directly lysed in 1.5 × SDS sample buffer and heated at 95 °C for 10 min, followed by loading onto 4–12% tris-glycine gel (Bio-Rad Laboratories), separated by electrophoresis and transferred to polyvinylidene fluoride membrane (GE Healthcare Life Sciences). Blots were incubated with primary antibodies for A3AR (sc-13938, clone H-80, dilution 1:200, Santa Cruz Biotechnology), TMIGD3 (PAb128, generated against aa235–aa248 CGIQRDFARDDMDF by GenScript, dilution 1:1,000), Flag (F3165, clone M2, dilution 1:2,000,Sigma-Aldrich), IκB (4814 S, clone L35A5, dilution 1:2,000, Cell Signaling), NF-κB p65 (8242S, clone D14E12, dilution 1:2,000, Cell Signaling), phosphorylated CREB (pCREB, S133; sc-101663, dilution 1:1,000, Santa Cruz Biotechnology), pAkt (S473; 4060S, clone D9E, dilution 1:1,000, Cell Signaling), Lamin B (sc-6216, clone C-20, dilution 1:1,000, Santa Cruz Biotechnology), glyceraldehyde 3-phosphate dehydrogenase (sc-25778, clone FL-335, dilution 1:2,000, Santa Cruz Biotechnology) and β-actin (A2228, clone AC-74, dilution 1:1,000, Sigma Aldrich) at 4 °C overnight. After washing with tris-buffered saline (TBS) plus 0.1% Tween 20, blots were incubated with appropriate secondary antibodies conjugated with fluorescence (IRDye; 650CW goat anti-rabbit IgG, dilution 1:5,000; 800CW goat anti-mouse IgG, dilution 1:10,000; 800CW donkey anti-goat IgG, dilution 1:5,000, Li-COR), followed by analysis with the Li-COR Odyssey infra-red imaging systems (Lincoln, Nebraska).
Protein extraction of cytoplasmic and nuclear proteins was performed using the Thermo Scientific NE-PER Nuclear and Cytoplasmic Extraction Reagents, according to the manufacturer's protocol. The nuclear and cytoplasmic extracts were suspended in SDS lysis buffer, followed by loading onto 4–12% tris-glycine gel. Uncropped original images of important blots are provided as a part of the Supplementary Information.
Immunofluorescence
The cells were grown on poly-D-lysine/laminin-coated glass coverslips (BD Biosciences) in 24-well plates. Cells were fixed with 4% paraformaldehyde for 20 min and permeabilized with 0.3% Triton X-100 for 5 min. Following blocking in 1% BSA in PBS plus 0.3% Triton-X for 30 min at room temperature, cells were incubated with the following primary antibodies: p65 (8242S, clone D14E12, dilution 1:1,000, Cell Signaling), β-catenin (sc1496-R, clone C-18, dilution 1:1,000, Santa Cruz Biotechnology), p-Erk1/2 (4370S, clone D13.14.4E, dilution 1:250, Cell Signaling), IκB (4814S, clone L35A5, dilution 1:1,000, Cell Signaling) and p- p65 (S536; 3033S, clone 93H1, dilution 1:1,000, Cell Signaling) at 4 °C overnight. After washing with PBS, cells were incubated with fluorescence-conjugated secondary antibodies at room temperature for 1 h. Cells were mounted in ProLong Gold Antifade Reagent with DAPI (Invitrogen) and analysed using a Nikon epifluorescence microscope.
Anchorage- and serum-independent growth assay
Cells (20 cells per well) were plated on 96-well ultra-low attachment plates (Corning Inc., Corning) in DMEM F12 medium containing 10 mM HEPES, 50 μM of putrescine, 20 nM of progesterone, ITS (insulin 25 mg ml−1, sodium selenite 25 μg ml−1 and transferrin 25 mg ml−1), epidermal growth factor (10 ng ml−1) and fibroblast growth factor (10 ng ml−1) for 10–14 days and numbers of spheres with sizes over 30 μm were counted. Sphere-forming potential was calculated as a percentage of number of spheres formed/number of cells seeded.
Cell proliferation assay
Cells (1 × 104) were seeded onto six-well plates (day 0). Live cell numbers were counted at days 2, 4, 6 and 8 following trypan-blue staining.
Transwell migration assay
Migration assays were performed with 24-well transwell chambers (6.5 mm diameter, 8 μm pore size, Corning). Cells (5 × 103 for SJSA-1, 1 × 104 for KHOS/NP) in 100 μl of 0.5% FBS-containing DMEM were seeded on the upper chamber, whereas 10% FBS-containing DMEM was added in the lower chamber as a chemoattractant. Cells were allowed to migrate through the membrane for 10 h. The non-migrating cells were removed from the upper face of the filters and migrating cells to the lower face were stained with Diff-Quik Stain Set (Dade Behring). Stained cells in the entire fields were counted under an inverted microscope.
Quantitative reverse transcription–PCR
RNAs isolated using the RNA-Quick MiniPrep (Zymo Research) was reversed transcribed to cDNA using M-MLV reverse transcriptase (Amresco), followed by TaqMan assays with ViiA7 (Life Technologies). The following assay numbers were used for probes: cyclin D1 (HS00277039_m1), cMyc (HS00153408_m1), IL-8 (HS00174103_m1) and CXCL1 (HS00605382_gH, Life Technologies). The mRNA levels were normalized to those of GAPDH (Hs.PT.39a.22214836, Integrated DNA Technologies, Inc.).
Measurement of cellular cAMP levels
Cells were seeded onto 12-well plates. Twenty four hours later, cells were incubated with serum-free (DMEM/F12 with 10 mM HEPES) media for 15 min. Cells were then incubated with adenosine deaminase (3 units per ml) followed by treatment with CF102 (Cl-IB-MECA, Sigma Aldrich) at different concentrations and incubated for an additional 10 min. The cells were harvested and lysed, to measure cAMP levels according to the manufacturer's protocol (STA-500, Cell Biolabs Inc.).
Signal analysis and luciferase assay
Cignal 45-Pathway Reporter Array was purchased from SABiosciences (CCA-901L) and luciferase assays were performed according to the manufacturer's protocol. Briefly, 50 μl Opti-MEM was added to each well of the Cignal Finder Array plate coated with reporter assay constructs. Subsequently, 50 μl of Opti-MEM containing 0.3 μl of Attractene Transfection Reagent (Qiagen) was used for each individual transfection. Following a 20 min incubation, 50 μl of a cell suspension containing 1–3 × 104 cells in Opti-MEM with 10% of fetal bovine serum and 1% non-essential amino acids (NEAA) was added to each well. After 16 h of transfection, the medium was changed to complete growth medium and further incubated for 36 h, followed by luciferase assays using the Dual-Luciferase Reporter Assay System (Promega). To measure activities of NF-κB and β-catenin, we performed luciferase assays following transfection of cells with luciferase reporter plasmids encoding promoters responsive to NF-κB (pGL4.32[luc2P/NF-κB-RE/Hygro]) or TCF/LEF (TOPFlash), along with the pRL-TK (Promega) plasmid as an internal control, using the JetPRIME transfection reagent (Polyplus transfection). The dual reporter luciferase assay system (Promega) was used to measure promoter activities 36 after transfection, according to manufacturer's instructions. The values of luciferase activities were determined using a luminometer (BioTek Synergy H4) and were normalized to the internal control. All transfection experiments were repeated at least three independent times.
Mice and in vivo tumor formation assay
All mice were maintained under specific pathogen-free conditions and experimental procedures were performed according to the institutional animal welfare guidelines approved by Institutional Animal Care and Use Committee for the University of Kansas Medical Center.
For subcutaneous tumour growth assays, cells were dissociated into single-cell suspensions using non-enzymatic cell dissociation solution (Sigma Biochemicals) and numbers of live cells were counted following trypan blue staining (Thermo Fisher Scientific). Cell suspension in 50 μl of 4.5 mg ml−1 Matrigel (BD Biosciences) in Hank's balanced salt solution was subcutaneously injected into flanks of NIH-III nude mice (Charles River). Tumours were measured three dimensionally two to three times a week for 17–20 days. For tail vein assays, 150 μl of cell suspension (5 × 104) was injected into the lateral veins of nude mice. Mice were monitored for laboured breathing and the numbers of pulmonary tumour nodules were evaluated 6 weeks after injections. For orthotopic injections, 15 μl of cell suspension (1 × 105) was injected into femoral bone marrow space of anaesthetized NOD-scid IL2Rγnull mice (The Jackson Laboratories)22. When the tumours reached ∼1 cm in thigh diameter, the mice were killed. The weight of the primary tumours and numbers of tumour nodules in the lungs and liver (>0.5 mm) were measured.
IHC for human tissues
Formalin-fixed paraffin-embedded tissues of 16 primary and 17 metastatic OS, as well as 10 normal lung tissues, were provided by the KUMC histology core facility. All the samples were anonymous and no patient information was given. All samples were collected during surgery for biopsy from patients with informed consent, admitted at the University of Kansas Medical Center (KUMC), and the research was approved by the institutional review board (IRB) of KUMC34. We also purchased a tissue microarray (OS804a, US Biomax) consisting of 38 primary OS and 10 normal bone tissues.
Sections (4 μm thick) from the aforementioned tissues were deparaffinized in xylene, rehydrated in grades of alcohol, rinsed in tap water and blocked with 0.3% hydrogen peroxide for 30 min. Antigen retrieval was performed in a steamer with sodium citrate buffer (10 mM sodium citrate, pH 6.0) for 20 min. After blocking in 2.5% normal horse serum for 30 min, sections were incubated with rabbit anti-human TMIGD3 (PAb128, dilution 1:500, generated by GenScript) and A3AR (A3R32-A, dilution 1:500, Alpha Diagnostics) antibodies for 30 min at room temperature. After washing in PBS, sections were incubated in anti-rabbit biotinylated secondary antibody for 30 min. The signal was detected using the Vectastain Elite ABC kit (Vector Laboratories). Pre-immune serum and normal rabbit IgG (Vector Labs, Burlingame) were used as negative controls. Two independent investigators evaluated the stained sections. Scoring was based on intensity and extensity. The scoring was determined by assessing the whole tumour section and each sample was scored on a scale of 0–3 for extensity with 0 corresponding to <25% of positive tumour cells, 1 for 26–50%, 2 for 51–75% and 3 for 76–100%. The intensity of immunostaining was determined as 0 (negative staining), 1 (weakly positive staining), 2 (moderately positive staining) and 3 (strongly positive staining). The immunoreactive score of each section was calculated by the sum of these two parameters and presented as a score ranging between 0 and 6.
Statistical analyses
Proliferation assays, subcutaneous tumour growth assays and expression of protein in tissues were analysed using analysis of variance as indicated in the figure legends. All other analyses were done using Student's t-test (two-tailed). All analyses were performed using GraphPad Prism software (GraphPad Software, Inc.). The sample size was not chosen based on any statistical methods. All the experiments were performed at least three independent times. The number of animals used for the experiment is provided in the corresponding figure legend. Appropriate statistical analyses were chosen based on the data distribution. The experiments were not randomized and no samples were excluded. The investigators were not blinded before the experiment or during outcome assessment. Panels in Figs 5a–c,f–h and 6c,d,f show a representative image of at least three independent experiments.
Data availability
The authors declare that the data supporting the findings of this study are available within the paper and its Supplementary Information files or available from the corresponding author upon reasonable request.
Additional information
How to cite this article: Iyer, S. V. et al. Genome-wide RNAi screening identifies TMIGD3 isoform1 as a suppressor of NF-κB and osteosarcoma progression. Nat. Commun. 7, 13561 doi: 10.1038/ncomms13561 (2016).
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Material
Acknowledgments
We thank Neeraj Agarwal, Kristy-Le T. Nguyen, Debleena Dey, Akshay Narkar, Reena Rao, Marsha Danley, James P. Calvet and Shrikant Anant for providing technical assistance and helpful discussion. This project is supported by NIH R01-CA174735 (T.I.), R01-CA185322 (S.U.), ACS RSG-09-169-01-CSM (T.I), KU Cancer Center Pilot (T.I.), KU BRTP (S.V.I.) and P30-CA168524 (R.A.J.) grants.
Footnotes
Author contributions T.I. and S.V.I. conceived and managed the research. S.V.I., A.R. and H.K.E. contributed towards biological characterization in vitro. S.V.I. and H.S. performed in vivo assays including subcutaneous, intravenous and intrafemoral injections. O.W.T. provided clinical OS tissue samples and technical expertise for evaluation of samples. S.V.I., H.K.E. and H.S. performed pathological evaluation of all tissue samples. S.V.I., A.R., A.P. and B.C.R. contributed towards mechanistic studies including localization studies, downstream and upstream pathway dissection analysis, luciferase reporter assays and quantitative colorimetric assays. S.U. provided technical expertise and advice on mechanistic studies. T.I. and S.V.I. wrote the manuscript. A.R., H.K.E. and A.P. provided critical input on editing the manuscript.
References
- Isakoff M. S., Bielack S. S., Meltzer P. & Gorlick R. Osteosarcoma: current treatment and a collaborative pathway to success. J. Clin. Oncol. 33, 3029–3035 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liu B., Ma W., Jha R. K. & Gurung K. Cancer stem cells in osteosarcoma: recent progress and perspective. Acta Oncol. 50, 1142–1150 (2011). [DOI] [PubMed] [Google Scholar]
- Gorlick R. et al. Biology of childhood osteogenic sarcoma and potential targets for therapeutic development: meeting summary. Clin. Cancer Res. 9, 5442–5453 (2003). [PubMed] [Google Scholar]
- Siegel H. J. & Pressey J. G. Current concepts on the surgical and medical management of osteosarcoma. Expert Rev. Anticancer. Ther. 8, 1257–1269 (2008). [DOI] [PubMed] [Google Scholar]
- Savage S. A. et al. Genome-wide association study identifies two susceptibility loci for osteosarcoma. Nat. Genet. 45, 799–803 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Selvarajah S. et al. Genomic signatures of chromosomal instability and osteosarcoma progression detected by high resolution array CGH and interphase FISH. Cytogenet. Genome Res. 122, 5–15 (2008). [DOI] [PubMed] [Google Scholar]
- Sadikovic B. et al. Identification of interactive networks of gene expression associated with osteosarcoma oncogenesis by integrated molecular profiling. Hum. Mol. Genet. 18, 1962–1975 (2009). [DOI] [PubMed] [Google Scholar]
- Squire J. A. et al. High-resolution mapping of amplifications and deletions in pediatric osteosarcoma by use of CGH analysis of cDNA microarrays. Genes Chromosomes Cancer 38, 215–225 (2003). [DOI] [PubMed] [Google Scholar]
- Chen X. et al. Recurrent somatic structural variations contribute to tumorigenesis in pediatric osteosarcoma. Cell Rep. 7, 104–112 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mirabello L. et al. A genome-wide scan identifies variants in NFIB associated with metastasis in patients with osteosarcoma. Cancer Discov. 5, 920–931 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moriarity B. S. et al. A Sleeping Beauty forward genetic screen identifies new genes and pathways driving osteosarcoma development and metastasis. Nat. Genet. 47, 615–624 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hindupur S. K. et al. Identification of a novel AMPK-PEA15 axis in the anoikis-resistant growth of mammary cells. Breast Cancer Res. 16, 420 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Liao J. et al. Ovarian cancer spheroid cells with stem cell-like properties contribute to tumor generation, metastasis and chemotherapy resistance through hypoxia-resistant metabolism. PLoS ONE 9, e84941 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Reya T., Morrison S. J., Clarke M. F. & Weissman I. L. Stem cells, cancer, and cancer stem cells. Nature 414, 105–111 (2001). [DOI] [PubMed] [Google Scholar]
- Adhikari A. S. et al. CD117 and Stro-1 identify osteosarcoma tumor-initiating cells associated with metastasis and drug resistance. Cancer Res. 70, 4602–4612 (2010). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Borea P. A. et al. The A3 adenosine receptor: history and perspectives. Pharmacol. Rev. 67, 74–102 (2015). [DOI] [PubMed] [Google Scholar]
- Fishman P. et al. Adenosine receptors and cancer. Handb. Exp. Pharmacol. 193, 399–441 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jacobson K. A. & Gao Z. G. Adenosine receptors as therapeutic targets. Nat. Rev. Drug Discov. 5, 247–264 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arafa E. et al. TMIGD1 is a novel adhesion molecule that protects epithelial cells from oxidative cell injury. Am. J. Pathol. 185, 2757–2767 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roberts D. L., O'Dwyer S. T., Stern P. L. & Renehan A. G. Global gene expression in pseudomyxoma peritonei, with parallel development of two immortalized cell lines. Oncotarget 6, 10786–10800 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Janakiram M., Chinai J. M., Zhao A., Sparano J. A. & Zang X. HHLA2 and TMIGD2: new immunotherapeutic targets of the B7 and CD28 families. Oncoimmunology 4, e1026534 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sasaki H., Iyer S. V., Sasaki K., Tawfik O. W. & Iwakuma T. An improved intrafemoral injection with minimized leakage as an orthotopic mouse model of osteosarcoma. Anal. Biochem. 486, 70–74 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rahimi N., Rezazadeh K., Mahoney J. E., Hartsough E. & Meyer R. D. Identification of IGPR-1 as a novel adhesion molecule involved in angiogenesis. Mol. Biol. Cell 23, 1646–1656 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Moro S., Deflorian F., Bacilieri M. & Spalluto G. Ligand-based homology modeling as attractive tool to inspect GPCR structural plasticity. Curr. Pharm. Design 12, 2175–2185 (2006). [DOI] [PubMed] [Google Scholar]
- Martin L., Pingle S. C., Hallam D. M., Rybak L. P. & Ramkumar V. Activation of the adenosine A3 receptor in RAW 264.7 cells inhibits lipopolysaccharide-stimulated tumor necrosis factor-alpha release by reducing calcium-dependent activation of nuclear factor-kappaB and extracellular signal-regulated kinase 1/2. J. Pharmacol. Exp. Ther. 316, 71–78 (2006). [DOI] [PubMed] [Google Scholar]
- Tsuchiya A. & Nishizaki T. Anticancer effect of adenosine on gastric cancer via diverse signaling pathways. World J. Gastroenterol. 21, 10931–10935 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Madi L. et al. The A3 adenosine receptor is highly expressed in tumor versus normal cells: potential target for tumor growth inhibition. Clin. Cancer Res. 10, 4472–4479 (2004). [DOI] [PubMed] [Google Scholar]
- Salvatore C. A. et al. Disruption of the A(3) adenosine receptor gene in mice and its effect on stimulated inflammatory cells. J. Biol. Chem. 275, 4429–4434 (2000). [DOI] [PubMed] [Google Scholar]
- Stemmer S. M. et al. CF102 for the treatment of hepatocellular carcinoma: a phase I/II, open-label, dose-escalation study. Oncologist 18, 25–26 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fishman P. et al. Targeting the A3 adenosine receptor for cancer therapy: inhibition of prostate carcinoma cell growth by A3AR agonist. Anticancer Res. 23, 2077–2083 (2003). [PubMed] [Google Scholar]
- Wang C. Y., Cusack J. C. Jr, Liu R. & Baldwin A. S. Jr. Control of inducible chemoresistance: enhanced anti-tumor therapy through increased apoptosis by inhibition of NF-kappaB. Nat. Med. 5, 412–417 (1999). [DOI] [PubMed] [Google Scholar]
- Higgins K. A. et al. Antisense inhibition of the p65 subunit of NF-kappa B blocks tumorigenicity and causes tumor regression. Proc. Natl Acad. Sci. USA 90, 9901–9905 (1993). [DOI] [PMC free article] [PubMed] [Google Scholar]
- Andela V. B., Schwarz E. M., Puzas J. E., O'Keefe R. J. & Rosier R. N. Tumor metastasis and the reciprocal regulation of prometastatic and antimetastatic factors by nuclear factor kappaB. Cancer Res. 60, 6557–6562 (2000). [PubMed] [Google Scholar]
- Gallagher R. et al. Clinicopathologic correlation of vitamin D receptor expression with retinoid X receptor and MIB-1 expression in primary and metastatic osteosarcoma. Ann. Diagn. Pathol. 16, 323–329 (2012). [DOI] [PubMed] [Google Scholar]
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Supplementary Materials
Data Availability Statement
The authors declare that the data supporting the findings of this study are available within the paper and its Supplementary Information files or available from the corresponding author upon reasonable request.