1. Introduction
Heparan sulfate (HS) is a sulfated and linear polysaccharide, which is covalently linked to core proteins to form HS proteoglycans. These molecules are present within the extracellular matrix (ECM) and at the membrane of virtually all cells. While the core protein of HS proteoglycans primarily determines their localization, HS moieties are involved in the binding of a plethora of ligand proteins, including growth factors, cytokines, membrane receptors or ECM components. HS-protein interactions have multiple functions, such as protection against degradation, stabilization of receptor-ligand complexes or protein oligomerization. Via these interactions, HS regulates a number of physiological processes involved in tissue development and homeostasis, angiogenesis, blood coagulation or inflammation, but they are also implicated in many pathologies, including cancer, infectious and inflammatory diseases or neurodegenerative disorders [
1,
2,
3,
4,
5]. Structurally, HS is built from a glycan backbone, which is formed by polymerization of the repeat unit D-glucuronic acid (GlcUA)/N-acetylated D-glucosamine (GlcNAc). This native polysaccharide is then subject to a number of enzymatic modifications: N-deacetylation/N-sulfation of GlcNAc residues., epimerization of some GlcUA into L-iduronic acid (IdoUA), 2-O-sulfation of uronic acids (mainly IdoUA), and 6-O and/or 3-O-sulfations of GlcN residues. One fascinating feature of this family of glycosaminoglycan is that these modifications are region-selective, thus leading to complex patterns with highly N- and O-sulfated sequences, sequences that escape modification and remains N-acetylated, and sequences of transition alternating N-acetylated and N-sulfated disaccharide units. The resulting combination of these modifications lead to a huge structural complexity that governs the interactions with protein ligands. Indeed, HS-protein interactions are not only driven at a first electrostatic level by the global sulfation of HS, but more specifically by the preferential recognition of structural determinants, in particular, the spatial arrangement of sulfate groups in given HS sequences [
1,
2,
3].
The reaction of 3-O-sulfation is one of the last modifications in HS and requires that the substrates for HS 3-O-sulfotransferases (HS3STs) have been already modified at other positions. Consequently, 3-O-sulfation is relatively rare in HS compared to the widespread N-, 6-O-, and 2-O-sulfations. With seven isozymes identified in human, HS3STs represent the largest family among HS-modifying enzymes. Under normal physiological condition, the expression levels of these enzymes are low or non-detectable in adult tissues, with the notable exception of the nervous system. As a result, 3-O-sulfated units are present in only a limited number of HS chains or absent entirely. Moreover, two distinct 3-O-sulfated motifs can be synthesized by these isozymes: HS3ST1 and HS3ST5 participate in the generation of anticoagulant-active HS/heparin binding sequences for antithrombin-III (AT-type), while HS3ST2, HS3ST3A1, HS3ST3B1, HS3ST4, and HS3ST6 were identified for their capability of producing the HS-binding motifs for the glycoprotein gD of herpes simplex virus-1 (HSV-1) (gD-type). Since then, only a few ligands and biological systems have been identified to be selectively influenced by 3-O-sulfated motifs, whereas hundreds of HS-binding proteins have been characterized. Hence, little is known about the physiological mechanisms that are regulated by 3-O-sulfated HS, apart their roles in the anticoagulant properties of antithrombin and HSV-1 infection [
6,
7,
8,
9,
10].
Expression of the genes encoding HS-modifying enzymes is frequently dysregulated in cancer. Over the past few years, a growing number of studies has reported an aberrant expression of certain HS3STs in various cancers [
11]. For example, HS3ST3B1 overexpression has been observed in non-small cell lung cancer (NSCLC) [
12], bladder cancer [
13], acute myeloid leukemia [
14] and glioma [
15], and it was associated with a bad prognosis in patients [
13,
14,
15]. High level expression of HS3ST4 was also correlated with poor clinical outcome in patients with gastric cancer [
16]. Overexpression of HS3ST3B1 in bladder, pancreas and lung cancer cell lines was demonstrated to promote migration, invasion and epithelial-mesenchymal transition (EMT) in vitro and in experimental in vivo models [
12,
13,
17,
18]. HS3ST3B1 also enhanced leukemia cell proliferation and angiogenesis in xenografted mice [
19]. Although epigenetic repression of the HS3ST2 gene was described in many cancers [
20], a forced expression of this isozyme led to an increase in cell viability and invasion of MDA-MB-231 breast cancer (BrCa) cells [
21]. Likewise, we reported that overexpression of HS3ST2, HS3ST3B1 or HS3ST4 similarly increased survival and resistance to apoptosis in MDA-MB-231 cells [
22]. In the continuity of this study, we reported that the advantage given by HS3ST3B1 was dependent on the expression of neuropilin-1 (NRP1) [
23]. Initially described as a co-receptor of VEGF and class 3 semaphorins in endothelial cells and neurons, there is now evidence that NRP1 is also expressed in a number of cancer cells, wherein it participates in migration, invasion and immune escape [
24]. However, the underlying mechanisms and consequences of HS3ST3B1 overexpression in BrCa still remain obscure.
BrCa samples is classically comprised of four main subtypes, luminal A, luminal B, HER2 positive, and triple negative, based on the expression of hormone receptors, i.e., estrogen receptor (ER) and/or progesterone receptor (PR), and HER2 (Human Epidermal Growth Factor Receptor-2). Cell lines with triple negative status of ER, PR and HER2 are generally more aggressive than luminal and HER2-positive tumors, with enhanced capacity to metastasize [
25,
26]. Moreover, while hormone therapy and HER2-targeting drugs have improved clinical outcome of patients with luminal and HER2-positive BrCa, triple-negative breast cancers (TNBC) are poorly responsive to available targeted therapies. Hence, chemotherapy is the mainstay treatment for TNBC. Nevertheless, resistance develops quickly and TNBC patients still have a relatively poor prognosis with higher recurrence and metastasis rates, and lower survival probability than other subtypes [
27,
28]. Therefore, there is an urge to identify effective molecular targets as well as combinatorial therapeutic strategies to treat patients with TNBC.
In present study, we aim to investigate the biological and clinical significance of HS3ST3B1 expression in BrCa. Interrogation of public databases revealed that high expression levels of HS3STB1 are associated with invasive and mesenchymal-like phenotype in BrCa and predict shortened time to disease relapse and metastasis in patients with chemotherapy. In vitro analysis revealed that HS3ST3B1 overexpression enhanced the invasive and resistant phenotype of MDA-MB-231 cells. Mechanistically, our results outline a critical role for PDGF-Rβ in driving the effects of HS3ST3B1 expression in BrCa cells.
3. Discussion
In the current study, we analyzed the biological and clinical significance of HS3ST3B1 expression in BrCa. Results from in silico analysis indicate that high expression levels of this HS-modifying enzyme was associated with an invasive and mesenchymal-like phenotype in BrCa tumor samples and BrCa cell lines, and with poor clinical outcomes in BrCa patients with chemotherapy.
In vitro, HS3ST3B1 overexpression increased the invasive and mesenchymal properties of MDA-MB-231 cells and enhanced their chemo-resistance to conventional anticancer drugs. Our results implicate that HS3ST3B1 may play an important role in the progression of aggressive BrCa, and offer a potentially therapeutic target. A number of other studies have already described that HS3ST3B1 was overexpressed in various cancer tissues, and that it promoted angiogenesis, migration, invasion and proliferation of cancer cells [
11]. As example, high expression levels of HS3ST3B1 was reported to induce EMT in pancreatic cancer cells and to increase cell invasiveness in vitro [
18]. HS3ST3B1 overexpression was also observed in NSCLC cell lines, and silencing its expression reversed the mesenchymal phenotype of NSCLC cells [
12]. Our results are consistent with these findings and suggest that HS3ST3B1 is probably a regulator of EMT in BrCa cells in the same way as in pancreatic and NSCLC cells. HS3ST3B1 also promoted proliferation, invasion, and cisplatin resistance in bladder cancer cells [
13]. Hence, these findings support our conclusions that HS3ST3B1 may have a critical impact in BrCa progression by enhancing EMT and chemo-resistance in cancer cells.
It is well-known that TGF-β is a potent EMT inducer in many epithelial cancers [
38]. Interestingly, HS3ST3B1 was described as a regulator of TGF-β-mediated EMT in NSCLC cells. The authors showed that TGF-β up-regulated the expression of HS3ST3B1 in NSCLC cells, while HS3ST3B1 silencing reversed the mesenchymal phenotype induced by TGF-β [
12]. It is also of note that an increase in the expression of HS3ST3B was observed in many cell types exposed to inflammatory stimuli [
39,
40,
41,
42]. During cancer progression, cancer cells are exposed to a pro-inflammatory environment that normally contributes to immune anti-tumor response. However, to evade this immune pressure, cancer cells can adapt to this inflammatory environment, thereby resulting in the emergence of variants with increased aggressiveness to facilitate tumor escape [
43]. TNF-α is a potent pro-inflammatory cytokine. Interestingly, it was described to cooperate with TGF-β to promote EMT and invasiveness of BrCa cells [
44]. These observations suggest that up-regulating the expression of HS3ST3B in response to these cytokines could be a way for cancer cells to adjust to modifications in their tissue environment. This assumption deserves additional works to identify the molecular pathways that control the expression of HS3ST3B1 in BrCa.
HS3ST3B1 was characterized for its participation in the biosynthesis of 3-O-sulfated HS motifs with binding properties for the protein gD of HSV-1. Thus, it belongs to the so-called subfamily of gD-type HS3STs, which also contains HS3ST2, 3A, 4 and 6 [
7,
8,
9]. Besides HS3ST3B1, some studies have described a possible implication of other gD-type HS3STs in cancer [
11]. Although normally restricted to the brain, the expression of HS3ST4 was found to be upregulated in various cancer cells carrying an overexpression of the telomerase protein TRF2. The
HS3ST4 gene was identified as a transcriptional target of TRF2, and increasing expression of either TRF2 or HS3ST4 in various cancer cell lines similarly resulted in increased tumor growth and inhibition of activation and recruitment of NK cells in xenografted mice [
16,
45]. In accordance with these findings, we previously reported that HS3ST3B1-overexpressing MDA-MB-231 cells were more resistant to apoptosis induced by NK cells in vitro [
22]. Hence, it is tempting to hypothesize that up-regulation of the expression of HS3ST3B or HS3ST4 may be a mechanism that permits cancer cells to bypass immune surveillance. Miyamoto et al. [
20] reported that the 5′ region of the HS3ST2 gene was hypermethylated in the majority of human BrCa patient samples, and also in colon, lung and pancreas cancers. As a consequence, the expression of HS3ST2 was not detectable in tumor samples compared with the matched normal counterparts. Moreover, HS3ST2 was not expressed in cell lines representative of the different BrCa subtypes. Reversing methylation in these cells restored the expression of the enzyme, confirming the silencing effect of gene hypermethylation. While these authors concluded that HS3ST2 silencing could be correlated with cancer progression, Vijaya Kumar et al. [
21] reported that overexpression of HS3ST2 in MDA-MB-231 cells led to an increase in cell viability and invasion. Likewise, we showed that MDA-MB-231 cells with exogenous HS3ST2 overexpression displayed a significant increase in proliferation and survival. However, HS3ST3B and HS3ST4 overexpression led to the same functional impact as observed in the case of HS3ST2, indicating that the three isozymes had produced the same 3-O-sulfated HS motifs with tumor-promoting activity [
22]. Thus, the role of HS3ST2 in BrCa is questionable, because in vitro overexpression of this isozyme could have artificially mimicked the effects of HS3ST3B1 or HS3ST4. Besides HS3ST2, Mao et al. [
46] reported that the HS3ST3A1 gene was epigenetically repressed in BrCa cell lines representative of the different subgroups, except in the HER2+ cell lines. Moreover, they found that HS3ST3A1 overexpression enhanced proliferation and survival of HER2+ SKBR3 cells, but had the opposite effect in MDA-MB-231 cells. The authors proposed that the impact of HS3ST3A1 expression in BrCa cells could be different, pro-tumoral in HER2+ cancer cells but anti-oncogenic in other subtypes. However, these results should be regarded with caution, because excessive levels of expression of this HS sulfotransferase could have led to adverse effects, e.g., privation of the sulfate donor PAPS, without being necessarily linked to changes in HS 3-O-sulfation [
11,
22].
Mechanistically, we found that the advantage given by HS3ST3B1 overexpression in MDA-MB-231 cells was linked to the expression and activation of PDGF-Rβ. Furthermore, we identified that the expression patterns of
HS3ST3B1 and
PDGFRB correlated positively across a panel of BrCa cell lines and TCGA cohorts of BrCa patient samples. PDGF-Rβ plays key roles in multiple cellular processes in cancer progression, including cell proliferation, migration/invasion, angiogenesis and metastasis. Overexpression of PDGF-Rβ has been described in many cancers, especially in BrCa wherein it was associated with high histopathological grade, ER negativity and shorter patient survival. However, it should be noted that its accumulation was mostly observed in the stromal cellular components of breast tumors, while the majority of BrCa cells express low to none PDGF-Rβ levels [
47]. Higher expression levels can nevertheless be observed in EMT-derived cells and mesenchymal-like cells [
48]. Notably, the autocrine PDGF/PDGF-R loop was reported to maintain TGF-β-induced EMT and to promote invasiveness and chemo-resistance in late-stage BrCa cells [
49]. Here, we provide evidence that PDGF-Rβ expression was up-regulated in MDA-MB-231 cells carrying HS3ST3B1 overexpression. Moreover, we showed that the expression of a number of EMT inducers and mesenchymal markers was increased in HS3ST3B1-overexpressing cells. Thus, it can be postulated that HS3ST3B1 overexpression increased the mesenchymal-like phenotype of MDA-MB-231 cells, which in turn led to an up-regulation of PDGF-Rβ expression.
PDGF ligand binding to PDGF-Rβ results in the recruitment of a number of SH2-domain containing molecules including tyrosine kinases of the Src family, PI3K, phospholipase Cγ, and the GTPase activating protein for Ras, which in turn regulate various signaling pathways that are involved in proliferation, survival and migration/invasion [
32,
33]. In this report, we demonstrated that HS3ST3B1-overexpressing MDA-MB-231 cells displayed an increase in the activation of the PI3K-Akt signaling pathway. Among the other phosphorylated proteins, we observed an increase in the activation of tyrosine kinases of the Src-family. Importantly, we found that activation of Src was associated to a concomitant increase in the level of phosphorylation of CTTN. This protein is overexpressed in a variety of cancers and plays a pivotal role in invadopodia formation and extracellular matrix degradation. Upon Src activation, CTTN undergoes tyrosine phosphorylation and then contributes to the rearrangement of actin cytoskeleton, which is required for cell migration and invasion [
34]. Consistent with this, we showed that blocking PDGF-Rβ pharmacologically or genetically led to a decrease in CTTN phosphorylation and reduced migration and invasion of HS3ST3B1-overexpressing MDA-MB-231 cells. Furthermore, we demonstrated that HS3ST3B1-induced up-regulation of PDGF-Rβ was responsible for an enhanced chemo-resistance in MDA-MB-231 cells. Silencing the expression of PDGF-Rβ abolished the acquired resistance towards the anticancer drugs. In line with these results, high expression levels of
HS3ST3B1 were associated with poor clinical outcome in BrCa patients with chemotherapy, especially in the cohorts with the higher expression of
PDGFRB gene. Therefore, our results implicate that PDGF-Rβ plays a key role in the effects driven by HS3ST3B1 overexpression in BrCa cells.
Among the few proteins that selectively interact with 3-O-sulfated HS, NRP1 was described as a preferential ligand for gD-type HS3ST-modified motifs [
10,
50]. NRP1 has been well described as a co-receptor for class 3 semaphorins and VEGF. There is also evidence that NRP1 is expressed in a number of cancer cells, wherein it regulates cell proliferation, migration, invasion and immune escape, by interacting with a broad spectrum of growth factors [
24,
51]. Importantly, HS was described to assist NRP1 in the formation of a high-affinity complex with VEGF-A and its cognate signaling receptor in endothelial cells [
52,
53]. However, it is of note that the fine structure of HS was not addressed in these studies, until Thacker et al. [
10] described that 3-O-sulfated HS was efficient to inhibit endothelial sprouting induced by VEGF-A, while HS devoid of 3-O-sulfation was much less potent. These results suggested that 3-O-sulfation could be a key modification within HS chains to strengthen and/or stabilize the interactions between NRP1, VEGF-A and its cognate receptors. In their study, Muhl et al. [
54] reported that PDGF-D can bind directly to NRP1 in a way that resembles that of VEGF-A. According to these authors, this interaction would induce the formation of a complex with PDGF-Rβ, indicating that NRP1 can also act as a co-receptor for this RTK. Though not mentioned in the study, these findings suggest a possible participation of 3-O-sulfated HS in the interaction between NRP1, PDGF-D and PDGF-Rβ. This idea is further supported by our previous observation showing that silencing of NRP1 in MDA-MB-231 cells reversed the advantage given by HS3ST3B1 overexpression [
23]. Hence, we speculate that HS3ST3B1 expression may enhance the formation of a signaling complex containing 3-O-sulfated HS, NRP1, PDGF-Rβ and its ligand in BrCa cells. This assumption is currently under investigation.
The difficulty to combat invasive BrCa has raised extensive efforts in identifying the mechanisms by which cancer cells bypass the effects of anticancer drugs and develop chemo-resistance. Given our results indicating that HS3ST3B1 overexpression increased PDGF-Rβ signaling, invasiveness and chemo-resistance in MDA-MB-231 cells, we anticipate that tumors with high expression levels of HS3ST3B1 might be more invasive and more likely to develop resistance to chemotherapy. Thus, despite the need of further studies to precisely determine the mechanisms that link HS3ST3B1 and PDGF-Rβ, this study uncovers a targetable HS3ST3B1/PDGFRβ partnership with biological and therapeutic importance in aggressive BrCa. Up to now, a lot of attention has focused on the use of HS mimetics to block the interaction between HS and their protein ligands [
55,
56]. However, it is still difficult to synthesize HS oligosaccharides with complex sulfation patterns. An alternative is the use of a chemo-enzymatic approach, in which controlled 3-O-sulfation of HS oligosaccharides can be achieved with recombinant HS3STs. Some of them have already proven to be effective as anticoagulant molecules and inhibitors of HSV-1 entry [
9]. On another hand, a few other molecules, e.g., Roneparstat (SST0001), Muparfostat (PI-88) or Pixatimod (PG545), have been or are currently under clinical trials. These HS mimetics are well-known inhibitors of heparanase [
55,
56]. Interestingly, they were also reported to inhibit the activation of certain RTKs, including PDGF receptors [
57]. The ability of these molecules to interfere with 3-O-sulfated HS-mediated signaling are yet to be explored. Although the consequences of impaired HS biosynthesis are well-documented in a variety of pathologies, it is surprising that the direct targeting of HS sulfotransferases has been less explored for therapeutic strategies. In their study, Byrne et al. [
58] screened a library of kinase inhibitors and identified some cell permeable molecules, including the Raf kinase inhibitor GW407323A, with inhibitory activity against HS2ST1. These findings suggest that such molecules could be redesigned for specific inhibition of other HS sulfotransferases, including gD-type HS3STs. On this assumption, identifying specific HS3ST inhibitors via high-throughput screening might be a challenging project to control HS 3-O-sulfation in BrCa cells.
In conclusion, the current study highlights HS3ST3B1 as an important player involved in BrCa invasiveness and chemo-resistance. Further investigations into the regulation and consequences of HS3ST3B1 expression in BrCa cells may provide opportunities to use this enzyme and/or 3-O-sulfated HS motifs as molecular targets to improve therapeutic strategies.
4. Materials and Methods
4.1. Materials
Rabbit antibodies to CTTN, phospho-CTTN (Y421), N-cadherin, PDGF-Rβ, phospho-PDGF-Rβ (Y1021), SLUG, SNAI1, Src, phospho-Src (Y416), TWIST, vimentin and secondary anti-mouse and anti-rabbit antibodies conjugated to horseradish peroxidase (HRP) were purchased from Cell Signaling Technology. Mouse antibodies to fibronectin and to GAPDH were from R&D Systems and Santa Cruz, respectively. Secondary anti-rabbit antibody conjugated to Alexa Fluor 488 was from Life Technologies. Imatinib, Dasatinib, CP673451, doxorubicin, gemcitabine and paclitaxel were from TargetMol. Other chemicals were from Sigma-Aldrich unless otherwise specified.
4.2. Cell Culture
The human BrCa cell lines BT-474, MCF-7, T-47D, ZR-75-1 (luminal subtype), SK-BR-3 (HER2+ subtype) BT-20, Hs_578T, MDA-MB-231 and SUM-159-PT (TNBC subtype) were obtained from the American Type Culture Collection (ATCC). HS3ST3B1-overexpressing MDA-MB-231 cell-derived clones were established and characterized in a previous work [
23]. Herein, we decided to retain the clone C for our experiments, because of medium overexpression level of HS3ST3B1, growth rate in complete culture medium similar to that of empty vector control cells and absence of cytotoxicity. BT-20, BT-474, Hs_578T, MDA-MB-231 (with or without HS3ST3B1 overexpression) and ZR-75-1 cells were routinely cultured in Dulbecco’s Modified Eagle Medium (DMEM) supplemented with 10% fetal calf serum (FCS) (Lonza). SK-BR-3 and T-47D cells were cultured in RPMI medium 1640 (Lonza) with 10% FCS. MCF-7 cells were cultured in DMEM with 10% FCS and 10 µg/mL of insulin (Lonza). SUM-159-PT cells were cultured in Ham’s F-12 Nutrient Mix (Gibco) supplemented with 10% FCS, insulin (10 mg/mL) and hydrocortisone (100 mg/mL) (Lonza). Cultured cells were maintained at 37°C in a 95% air-humidified atmosphere containing 5% CO2.
4.3. Microscopy Experiments
For analysis of the morphological changes induced by HS3ST3B1 overexpression, the elongation factor was measured by determining the length-to-width ratio of the cells. To this end, parental and HS3ST3B-overexpressing cells were seeded into 6-well plates (5 × 104 cell per well) and cultured overnight for attachment. After washing with phosphate buffer (PBS), cells were fixed with 4% paraformaldehyde for 30 min and stained with 0.5% crystal violet for 10 min. High-power field pictures were photographed under observation with an inverted microscope and the length-to-width ratios of the cells (30 cells per sample) were determined using ImageJ software. The morphological changes of MDA-MB-231 cells were also observed in parental and HS3ST3B1-overexpressing cells using differential interference contrast (DIC) microscopy. Images were collected using a Leica AF6000 LX microscope. For the detection of phosphorylated CTTN, cells were seeded on glass coverslips in 6-well plates (2 × 105 cells per well), washed with PBS and fixed in 4% paraformaldehyde for 30 min. They were then permeabilized with 0.1% Triton X-100 in PBS for 10 min, treated with a blocking solution containing 0.2% gelatin, 2% BSA and 2% FCS in PBS and incubated with the anti-phospho-CTTN (1/500) in the blocking buffer for 1 h. After washing, cells were incubated for 1 h with Alexa 488-conjugated secondary antibody (1/1000) in blocking buffer. Before analysis, cells were stained with 500 ng/mL of 4,6-diamidino-2-phenylindole (DAPI) for 10 min, in order to visualize cell nuclei. Immunofluorescence was analyzed with an inverted Zeiss LSM 780 microscope equipped with a 63 oil immersion lens. Data were collected using the Zeiss Zen Pro 2.1 software and processed with Image J software.
4.4. RNA Interference
A synthetic small-interfering RNA (siRNA) duplex corresponding to the sequence 5’-CTGACTTCCTCTTG GATAT-3’of the PDGFRB mRNA (NM_002609.4) was designed by Sigma-Aldrich. A control siRNA duplex (MISSION®, Sigma-Aldrich) was used as negative control (si-Ctrl). For silencing experiments, cells were plated at 5 × 105 cells per well (2.5 mL) in DMEM supplemented with 1% FCS and then transfected with siRNA (150 pmoles per well) using Lipofectamine® RNAiMAX (Thermo Fisher), according to the manufacturer’s recommendations.
4.5. RNA Isolation and Real-Time RT-PCR
Total RNA was isolated from 2 × 10
5 cells using the NucleoSpin RNA II kit, according to the instructions of the manufacturer (Macherey-Nagel). Reverse transcription was performed from 0.5 μg of total RNA by using the Maxima First Strand cDNA Synthesis Kit for RT-qPCR (Thermo Fisher Scientific). Synthetic primer sequences used in this study are described in
Supplementary Table S3. They were checked for their specificity by semi-quantitative RT-PCR on a 1.5% (w/v) agarose gel. All of them amplified only one fragment of expected size, for which the sequence was confirmed (GATC Biotech). Real-time PCR amplifications were performed using Mx4000 Multiplex Quantitative PCR system (Agilent Technologies), as described in [
40]. The transcript of
HPRT was used as a control to normalize the expression of the genes of interest. The amplification efficiency of each primer pair was performed on serial dilutions of cDNA. The point at which the PCR product was first detected above a fixed threshold, termed cycle threshold (Ct), was determined for each sample, and the average Ct of triplicate samples was used for analysis.
4.6. SDS-PAGE and Western Blot
Protein analysis and immunoblotting were performed as described previously [
23]. Briefly, cells (4 × 10
5 per point) were lysed in 150 µL of lysis buffer containing 1% Triton X-100, 0.1% SDS, and a mixture of protease and phosphatase inhibitors (Roche Diagnostics, Meylan, France). Following clarification by centrifugation, protein content of the supernatants was estimated using micro-BCA protein assay kit (Thermo Fisher Scientific). Proteins (equivalent to 20 µg per sample) were separated by SDS-PAGE and transferred onto nitrocellulose membrane (Amersham). The membrane was blocked for 1 h at room temperature with bovine serum albumin (BSA) and then probed with primary antibodies overnight in Tris buffer supplemented with 5% (w/v) BSA. After washing, HRP-conjugated anti-mouse or anti-rabbit secondary antibodies were added for 1 h at room temperature and immunoreactive proteins were detected using ECL prime Western blotting detection reagent (GE Healthcare). Quantification of immunostaining intensity was performed by using ImageJ software.
4.7. Microarray Experiments
Following serum-starvation for 3 h, cells were stimulated for 15 min in the presence of complete culture medium (10% FCS) and then lysed as above. The human phospho-RTK array and phospho-kinase array kits (R&D systems) were used according to the manufacturer’s protocols. Briefly, the arrays were incubated overnight at 4°C with 300 µg of total protein extract. After washing, the arrays were incubated with a horseradish peroxidase-conjugated phospho-tyrosine detection antibody (phospho-RTK arrays) or with detection antibody cocktails (phospho-kinase arrays), for 1 h at room temperature. Detection of immunoreactive proteins and quantification of dot intensity was performed as above.
4.8. Cell Migration and Invasion Assays
Wound healing assay was performed to assess MDA-MB-231 cell migration. Parental and HS3ST3B1-overexpressing cells were seeded in 24-well plates and cultured in DMEM-10% FCS medium until they reached the confluent stage. Next, cell monolayers were wounded by scraping horizontally and vertically with a 20 μL pipet tip, followed by a 20 h-incubation in DMEM-1% FCS. Four images of the wounds were taken under microscopic observation immediately and after 20 h of incubation. The distance covered between the migration fronts was measured using ImageJ software. The invasive ability of MDA-MB-231 cells with or without HS3ST3B1 overexpression was assessed by using a Transwell chamber containing a collagen I-coated membrane (12-well plates, 8-µm pore size) (Corning). A total of 5 × 104 starved cells in serum-free DMEM were seeded into the top chamber, and the lower chamber was filled with DMEM supplemented with 10% FCS. After 20 hours at 37°C, the cells that invaded the lower surface of the membrane were fixed with 4% formaldehyde for 30 min and stained with 0.5% crystal violet for 10 min. Four high-power field pictures of the lower surface of each Transwell membrane were photographed under microscopic observation, and the migrated cell numbers were counted using ImageJ software.
4.9. Measurement of Cell Viability
Cells viability was estimated by using the Cell-Titer 96 Aqueous Non-Radioactive Cell Proliferation Assay kit (Promega). This assay involves conversion of a MTS tetrazolium compound to a colored formazan product by metabolically active cells, thus providing information on the number of viable cells. Briefly, cells were seeded in 96-well plates (5×103 cells in 200 µL) and cultured for 24 h. Next, cells were treated with increasing concentrations of anticancer drugs, including doxorubicin, gemcitabine and paclitaxel (TargetMol). After 72 h of culture, 20 µL of MTS/PMS (95:5, v/v) solution was added to each well of culture and the reaction was developed at 37°C for 2 h. Absorbance was measured at 490 nm using a BioTek Epoch microplate reader.
4.10. Data acquisition and Analysis from Public Open Databases
Data for gene expression levels in BrCa patients (cohorts TCGA BrCa) and in BrCa cell lines (collection BrCa Cell Lines) were downloaded from the UCSC-Xena data portal (
https://xena.ucsc.edu) [
29]. These datasets showed the gene expression profiles of a panel of 1247 BrCa patient samples (RNA-sequencing) and of a collection of 54 BrCa cell lines (DNA microarray Affymetrix) [
27], respectively. Association between
HS3ST3B1 mRNA expression levels and BrCa subtypes was analyzed by using the data analysis portal bc-GenExMiner v4.5 (
http://bcgenex.ico.unicancer.fr) [
30]. The screening condition in this study was the Affymetrix Jetset probe ID # “227361_at”. Supplemental validation data of correlation between
HS3ST3B1 gene expression and BrCa subtypes was analyzed from the GENT2 database (
http://gent2.appex.kr) [
31]. Correlations of
HS3ST3B1 expression with RFS and DMFS were analyzed using Kaplan-Meier Plotter software (
https://www.kmplot.com) [
35]. Kaplan-Meier plots were generated through the Jetset probes #“227361_at” and #“202273_at” for
HS3ST3B1 and
PDGFRB transcripts, respectively. Patient specimens were divided into high and low
HS3ST3B1 expression groups according to the auto-select best cut-off.
4.11. Statistical Analysis
USC-Xena, bc-GenExMiner and GENT2 online tools were used to generate data related to mRNA expression and to perform comparison between samples. Statistical analysis was performed automatically by the website software or by using a two-sample T-test. A P value of less than 0.05 was considered statistically significant. Correlation between transcript expression levels was evaluated by Pearson correlation analysis. A correlation coefficient R above 0.3 was considered as positive correlation. KM-Plotter online tool was used to generate survival analysis in BrCa patients. Hazard ratios (HR) with 95% confidence intervals and log-rank P values were calculated automatically by the website software. Results from in vitro analysis were obtained from at least three independent experiments conducted with separate preparations of cultured cells. All values are expressed as means ± standard error (SEM). Statistical significance between the different values was analyzed by using one-way ANOVA and two-tailed Student’s t-tests. A threshold of P < 0.05 was considered as significant. Statistical significance is denoted by * for P ≤ 0.05, ** for P ≤ 0.01, *** for P ≤ 0.001, and n.s. = not significant.