Significance
Estrogen receptor α (ER-α) mediates estrogen-dependent cancer progression and is expressed in most breast cancer cells. We now show that calcineurin, a Ca2+-dependent protein phosphatase, plays a previously unrecognized role in the regulation of ER-α stability and activity. Calcineurin stabilizes ER-α by mediating its dephosphorylation at Ser294 and thereby preventing its degradation by the ubiquitin–proteasome pathway. Calcineurin mediates ER-α activation by promoting its phosphorylation at Ser118 by mTOR. A high level of calcineurin gene expression was also found to be associated with a poor prognosis of ER-α–positive breast cancer patients treated with endocrine therapeutic agents. We therefore propose that the selective inhibition of calcineurin might be an effective approach to the treatment of ER-α–positive breast cancer.
Keywords: calcineurin, estrogen receptorα, breast cancer, ubiquitination
Abstract
Estrogen receptor α (ER-α) mediates estrogen-dependent cancer progression and is expressed in most breast cancer cells. However, the molecular mechanisms underlying the regulation of the cellular abundance and activity of ER-α remain unclear. We here show that the protein phosphatase calcineurin regulates both ER-α stability and activity in human breast cancer cells. Calcineurin depletion or inhibition down-regulated the abundance of ER-α by promoting its polyubiquitination and degradation. Calcineurin inhibition also promoted the binding of ER-α to the E3 ubiquitin ligase E6AP, and calcineurin mediated the dephosphorylation of ER-α at Ser294 in vitro. Moreover, the ER-α (S294A) mutant was more stable and activated the expression of ER-α target genes to a greater extent compared with the wild-type protein, whereas the extents of its interaction with E6AP and polyubiquitination were attenuated. These results suggest that the phosphorylation of ER-α at Ser294 promotes its binding to E6AP and consequent degradation. Calcineurin was also found to be required for the phosphorylation of ER-α at Ser118 by mechanistic target of rapamycin complex 1 and the consequent activation of ER-α in response to β-estradiol treatment. Our study thus indicates that calcineurin controls both the stability and activity of ER-α by regulating its phosphorylation at Ser294 and Ser118. Finally, the expression of the calcineurin A–α gene (PPP3CA) was associated with poor prognosis in ER-α–positive breast cancer patients treated with tamoxifen or other endocrine therapeutic agents. Calcineurin is thus a promising target for the development of therapies for ER-α–positive breast cancer.
Estrogen receptor α (ER-α) plays a central role in the proliferation of breast cancer cells by increasing the expression of oncogenes, such as those encoding cyclin D1 and c-Myc (1). The expression and activity of ER-α are increased in >70% of breast cancer cases, and the receptor is targeted by drugs such as tamoxifen (2, 3). A substantial proportion of ER-α–positive breast cancer cells become resistant to anti‐estrogens, however, resulting in the progression of the disease. The mechanisms by which the cancer cells acquire resistance to these agents include the generation of splice variants of ER-α, the mutation of the ER-α gene (ESR1), and changes in stability of the ER-α protein (4).
Increased protein stability appears to be a key contributor to the up-regulation of ER-α in breast cancer. The ubiquitination of ER-α is one mechanism responsible for ER-α degradation. Several E3 ligases that mediate the degradation of ER-α have been identified and include E6-associated protein (E6AP) (5), carboxyl terminus of Hsp70-interacting protein (CHIP) (6), breast cancer type 1 (BRCA1) (7), BRCA1-associated RING domain 1 (8), S phase kinase–associated protein 2 (SKP2) (9), and mouse double minute 2 homolog (10). On the other hand, other E3 ligases—such as RING finger protein (RNF) 31, shank-associated RH domain–interacting protein, and RNF8 (11–13)—have been shown to promote ER-α signaling by stabilizing ER-α protein.
The residues Lys302 and Lys303 of ER-α are targeted for ubiquitination (14). The ubiquitination of ER-α is associated with its phosphorylation, with several kinases such as cyclin-dependent kinase (CDK) 11 (15), Src (5), protein kinase C (16), p38 mitogen-activated protein kinase (9), and extracellular signal–regulated kinase 7 (17) having been shown to phosphorylate the protein. The phosphorylation of ER-α at Ser294 has thus been related to its ubiquitination by SKP2 (9), with the Ser294-phosphorylated form of ER-α being a preferred substrate for ubiquitination by SKP2 in vitro. However, the expression level of ER-α was found to be unaltered in cells depleted of SKP2, suggesting that other E3 ligases may contribute to the degradation of ER-α subsequent to its phosphorylation at Ser294.
Calcium is an important regulator of signaling pathways that control oncogenesis and cancer progression, and Ca2+ signaling has been linked to signaling by ER-α. β-estradiol (E2) has been shown to induce rapid Ca2+ influx in cells, and the Ca2+-binding protein calmodulin interacts with ER-α, increases its stability, and modulates E2-regulated gene expression (18). Calcineurin is a Ca2+/calmodulin-activated serine–threonine phosphatase that plays a major role in the regulation of immediate cellular responses and gene expression by Ca2+ signaling (19). It is also a target of immunosuppressive drugs administered in clinical practice, such as cyclosporine A and FK506. Calcineurin is composed of two subunits: a catalytic subunit, designated calcineurin A, that is encoded by three genes (PPP3CA, PPP3CB, and PPP3CC), and a regulatory subunit, designated calcineurin B, that is encoded by two genes (PPP3R1 and PPP3R2).
In the present study, we found that calcineurin plays a previously unrecognized role as a positive regulator of the stability and activity of ER-α in breast cancer cells by mediating its dephosphorylation at Ser294, as well as the activation of mechanistic target of rapamycin complex 1 (mTORC1) and the consequent phosphorylation of ER-α at Ser118, respectively. Furthermore, a high-expression level of PPP3CA was associated with poor prognosis in a subset of breast cancer patients, suggesting that the selective inhibition of calcineurin might be an effective approach to the treatment of ER-α–positive breast cancer.
Results
Calcineurin Regulates the Stability of ER-α.
We first investigated the effect of the calcineurin inhibitor FK506 on ER-α expression, given that the calcineurin–NFAT (nuclear factor of activated T cells) pathway is activated in invasive breast cancer cells (20). Immunoblot analysis revealed that FK506 treatment attenuated the expression of ER-α in MCF7 human breast cancer cells in a concentration-dependent manner (Fig. 1A). Given that FK506 inhibits not only calcineurin but FK506-binding proteins, we also examined the effect of CN585, which specifically inhibits calcineurin phosphatase activity. Treatment with CN585 also resulted in a loss of ER-α in MCF7 cells (Fig. 1B). Moreover, we found that FK506 or CN585 induced the down-regulation of ER-α in the human breast cancer cell lines T47D and BT-474 (SI Appendix, Fig. S1 A–C). To examine further whether calcineurin is required for ER-α expression, we depleted calcineurin A–α with two independent lentivirus-delivered short hairpin RNAs (shRNAs). The depletion of calcineurin A–α resulted in a significant decrease in ER-α abundance in MCF7 cells (Fig. 1C), as well as in T47D (SI Appendix, Fig. S1D) and BT-474 (SI Appendix, Fig. S1E) cells. With the use of a cycloheximide chase assay, we also found that ER-α protein stability was decreased in calcineurin-depleted MCF7 cells compared with control cells (Fig. 1D). To investigate whether the down-regulation of ER-α induced by CN585 was attributable to the degradation of the protein by the ubiquitin–proteasome pathway, we examined the effect of the proteasome inhibitor MG132. Indeed, the treatment of MCF7 cells (Fig. 1E) or T47D cells (SI Appendix, Fig. S1F) with MG132 attenuated the loss of ER-α induced by CN585. RT-qPCR analysis showed that the amount of ESR1 messenger RNA (mRNA) did not differ significantly between control and calcineurin-depleted MCF7 cells (Fig. 1F), suggesting that the decrease in ER-α expression induced by calcineurin depletion was attributable to regulation at the protein (not mRNA) level. Collectively, these findings indicated that calcineurin inhibits ER-α degradation via the ubiquitin–proteasome pathway.
Calcineurin Inhibits the Ubiquitination of ER-α Mediated by E6AP.
To examine the potential association of ER-α and calcineurin, we transiently transfected human embryonic kidney 293T (HEK293T) cells with expression vectors for V5-tagged ER-α and hemagglutinin epitope (HA)–tagged calcineurin A–α. The reciprocal coimmunoprecipitation analysis of the cell lysates with antibodies to the V5- or HA-tags revealed that ER-α indeed interacts with calcineurin A–α (Fig. 2A). We next investigated whether calcineurin inhibition affects the interaction of ER-α with its known E3 ligases, and we found that the extent of the association of ER-α with E6AP was greater in MCF7 cells treated with CN585 and MG132 than in those treated with MG132 alone (Fig. 2B). The association of ER-α with the E3 ligase CHIP appeared unaffected by CN585 treatment, suggesting that the promotion of the binding of ER-α to E6AP might be responsible, at least in part, for the degradation of ER-α induced by calcineurin inhibition. To investigate further the mechanism by which calcineurin modulates the level of ER-α, we analyzed the ubiquitination state of ER-α in CN585- and MG132-treated HEK293T cells. CN585 treatment increased the ubiquitination level of ER-α in MG132-treated cells (Fig. 2C). Given that the degradation of ER-α dependent on ubiquitination was previously shown to be associated with its phosphorylation state, and that Lys302 and Lys303 residues of ER-α have been found to be ubiquitinated, we focused on Ser294 phosphorylation, which is known to enhance the ubiquitination of ER-α (9) (Fig. 2D). We therefore examined whether CN585 treatment induced the degradation of ER-α as a result of the increased phosphorylation of ER-α at Ser294. We found that Ser294 phosphorylation was increased twofold in MCF7 cells treated with CN585 and MG132 compared with that in cells treated with MG132 alone (Fig. 2E), suggesting that CN585 inhibits the dephosphorylation of ER-α. Together, these results thus indicated that the inhibition of calcineurin increases the phosphorylation of ER-α at Ser294 and thereby promotes its binding to E6AP and consequent degradation.
We next performed a phosphatase assay to investigate whether calcineurin might dephosphorylate ER-α in vitro. Purified recombinant calcineurin combined with calmodulin indeed mediated the dephosphorylation of ER-α at Ser294 (Fig. 3A). We also examined whether the activation of calcineurin increases the abundance of endogenous ER-α. The treatment of MCF7 cells with the Ca2+ ionophore A23187, which activates calcineurin by mediating the influx of extracellular Ca2+, indeed increased the expression of ER-α (Fig. 3B). Given that the phosphorylation of ER-α at Ser294 enhances the ubiquitination of ER-α in vitro (9), we generated a nonphosphorylatable mutant of ER-α by replacing Ser with Ala at position 294 (S294A). The S294A mutant was more stable than wild-type (WT) ER-α in MCF7 cells (Fig. 3C). The interaction of the S294A mutant with E6AP and its ubiquitination in HEK293T cells were both attenuated compared with those of the WT protein (Fig. 3D). These results suggested that the destabilization of ER-α through Ser294 phosphorylation is a key determinant of ER-α abundance. Calcineurin thus dephosphorylates ER-α at Ser294, which abrogates its binding to E6AP and consequent ubiquitination and degradation.
Calcineurin Depletion Attenuates ER-α Signaling.
To investigate further the role of calcineurin in the regulation of ER-α signaling, we performed RNA-sequencing (RNA-seq) analysis for calcineurin A–α-depleted and control MCF7 cells, and we thereby identified 643 differentially expressed genes (DEGs)—394 up-regulated genes and 249 down-regulated genes in the former cells compared with the latter (Fig. 4A). Volcano plot analysis showed that genes up-regulated or down-regulated by calcineurin depletion were enriched in those whose expression is decreased or increased by E2 treatment, respectively (Fig. 4B). Gene set enrichment analysis (GSEA) also revealed that the expression of genes up-regulated early (6 h) or late (24 h) in response to estradiol was decreased by calcineurin depletion, whereas that of those down-regulated early (6 h) or late (24 h) in response to estradiol was increased by calcineurin depletion (Fig. 4C). We also validated these results with RT-qPCR analysis by showing that the expression of genes up-regulated by estradiol was decreased by calcineurin depletion (Fig. 4D). Consistent with these findings, ingenuity pathway analysis (IPA) for the identified DEGs implicated the estrogen receptor as a down-regulated upstream molecule in cells depleted of calcineurin A–α (Fig. 4E and SI Appendix, Fig. S2). We also analyzed the global gene expression profile of cyclosporine A–treated HBL-1 human diffuse large B cell lymphoma cells (GSE140882) (21) and found that calcineurin inhibition down-regulated the expression of ER-α target genes in these cells (SI Appendix, Fig. S3). Collectively, these findings suggested that calcineurin promotes ER-α signaling.
Calcineurin Promotes E2-Induced ER-α Activation and ER-α–Mediated Gene Expression.
We next investigated whether calcineurin might affect the activation of ER-α in addition to stabilizing the protein. We therefore examined the effect of E2 treatment on the phosphorylation of ER-α at Ser118, which increases the transactivation activity of the protein (22) in calcineurin A–α-depleted and control MCF7 cells. In control cells, E2 treatment for 4 h increased the phosphorylation of ER-α at Ser118, whereas this effect was substantially attenuated in cells depleted of calcineurin A–α, indicating that calcineurin is required for ER-α activation (Fig. 5A). Similar results were obtained with T47D cells (SI Appendix, Fig. S4A) and BT-474 cells (SI Appendix, Fig. S4B). Given that the amount of ER-α was decreased in calcineurin-depleted cells, we confirmed that ER-α activation was also decreased in T47D cells treated with CN585 alone or with both CN585 and MG132 (SI Appendix, Fig. S4C). We also examined the effect of calcineurin depletion on ER-α–mediated gene transactivation with the use of a luciferase reporter assay. The depletion of calcineurin attenuated E2-induced reporter gene expression in MCF7 cells (Fig. 5B). To examine the effect of calcineurin inhibition on the E2-induced expression of endogenous ER-α target genes, we performed RT-qPCR analysis for T47D cells treated with CN585. The E2-induced expression of representative ER-α target genes was significantly inhibited by CN585 treatment (Fig. 5C). Similar results were obtained for calcineurin-depleted MCF7 cells (SI Appendix, Fig. S5). Furthermore, chromatin immunoprecipitation–qPCR analysis revealed that the E2-induced recruitment of ER-α to target gene promoters in T47D cells was greatly attenuated by treatment with CN585 (Fig. 5D). These results thus suggested that calcineurin promotes the association of ER-α with its target genes.
We examined the potential role of Ser294 dephosphorylation in E2-induced gene expression by RT-qPCR analysis. The expression of shRNA-resistant forms of FLAG-tagged ER-α (WT or S294A) in ER-α–depleted MCF7 cells revealed that ER-α (S294A) enhanced the expression of ER-α target genes compared with that apparent in cells expressing ER-α (WT) (Fig. 6 A and B). To investigate the relation between Ser294 and Ser118 phosphorylation, we expressed FLAG-tagged forms of ER-α (S294A), the nonphosphorylatable mutant ER-α (S118A), or the phosphomimetic mutant ER-α (S118D) in MCF7 cells and examined the phosphorylation status of ER-α. The expression of ER-α (S294A) had no effect on the Ser118 phosphorylation of ER-α (Fig. 6C), and the expression of ER-α (S118A) or ER-α (S118D) did not affect the Ser294 phosphorylation of ER-α (Fig. 6D), suggesting that the phosphorylation of these two residues is each independent of that or the other. Collectively, our results indicated that calcineurin promotes ER-α activation, ER-α recruitment to its target genes, and ER-α–mediated gene expression through Ser294 dephosphorylation.
Calcineurin Regulates mTORC1 Activation.
The expression of calcineurin A–α was found to be increased by the E2 treatment in MCF7 cells, and this up-regulation was independent of ER-α status (Fig. 7A). Given that mTORC1 was previously shown to directly phosphorylate and activate ER-α in response to estrogen stimulation—in particular, through the phosphorylation of Ser104 and Ser106 (23)—we examined whether the inhibition of calcineurin might affect mTOR activity. We focused on S6 kinase (S6K), a downstream substrate of mTORC1, and confirmed that S6K was activated in response to E2 stimulation in MCF7 cells (Fig. 7A), as shown previously (24). In contrast, the phosphorylation of both S6K and mTOR was attenuated in calcineurin-depleted MCF7 cells compared with control cells, suggesting that mTORC1 signaling was inhibited by calcineurin depletion (Fig. 7 A and B). In addition, the inhibition of the phosphatase activity of calcineurin with CN585 attenuated the activation of mTOR, as reflected by its phosphorylation at Ser2481 in E2-treated T47D cells (Fig. 7C). Indeed, the GSEA of our RNA-seq data revealed that calcineurin depletion markedly inhibited mTORC1 signaling in MCF7 cells (Fig. 7D). Given that mTORC1 phosphorylates ER-α at Ser104 and Ser106 (23), it seemed possible that it might also be required for the phosphorylation of ER-α at Ser118. To provide further insight into the mechanism of mTORC1-mediated ER-α activation, we examined the effects of the mTORC1 inhibitor rapamycin on ER-α phosphorylation at Ser118. We confirmed that rapamycin inhibited the phosphorylation of S6K in E2-treated MCF7 cells. In addition, rapamycin treatment reduced the levels of both ER-α phosphorylation at Ser118 and ER-α protein (Fig. 7E), suggesting that mTORC1 is required for ER-α activation dependent on Ser118 phosphorylation. We also found that Akt, an upstream kinase of mTOR, was activated by E2 treatment in MCF7 cells and that this activation was markedly attenuated by calcineurin depletion (Fig. 7F). Collectively, these results indicated that calcineurin contributes to mTORC1 activation, which is required for ER-α activation.
Expression of PPP3CA Is Associated with Poor Prognosis in Breast Cancer Patients Treated with Endocrine Therapy.
Finally, we examined whether the expression of the calcineurin A–α gene (PPP3CA) might be associated with the survival of breast cancer patients by the univariate analysis of relapse-free survival with the use of publicly available datasets and the Kaplan–Meier plotter platform (42). We found that PPP3CA expression was not significantly related to prognosis for individuals with different types of breast cancer (Fig. 8A). On the other hand, the high expression of PPP3CA was significantly associated with a poor prognosis in patients with luminal A–type breast cancer who received endocrine therapy or were treated specifically with tamoxifen (Fig. 8B). No such association was apparent between PPP3CB (calcineurin A–β gene) expression and the outcome of patients with the various types of breast cancer or of those with ER-α–positive breast cancer who underwent endocrine therapy or treatment with tamoxifen (SI Appendix, Fig. S6).
Discussion
ER-α controls the expression of genes related to cell proliferation and is thus a therapeutic target in breast cancer. We have now shown that calcineurin promotes ER-α signaling through the regulation of both the expression and activation of ER-α.
The degradation of ER-α by the ubiquitin–proteasome pathway is dependent on its phosphorylation state. E2 induces ER-α phosphorylation at several residues including Ser118 (25), Ser294 (9), Ser341 (25), and Tyr537 (9), and such phosphorylation promotes the recruitment of E3 ligases or coactivators to promote the ER-α degradation or activation of its target genes, respectively. For example, E2 induces the phosphorylation of ER-α at Ser118 by multiple kinases and CDK7 as well as that at Tyr537 by Src, with the phosphorylation of each of these residues leading to the polyubiquitination of ER-α by E6AP and its consequent degradation (26).
We here show that the dephosphorylation of ER-α at Ser294 by calcineurin is a key determinant of its stability and activity. The ubiquitin ligase SKP2 was previously shown to mediate the ubiquitination of ER-α phosphorylated at Ser294 (9). However, cells depleted of SKP2 did not show the altered expression of ER-α, suggesting that other E3 ligases might contribute to the degradation of ER-α phosphorylated at Ser294. We found that the ER-α (S294A) mutant showed reduced levels of interaction with E6AP and ubiquitination, as well as activated the expression of ER-α target genes to a greater extent compared with the WT protein. We therefore conclude that Ser294 phosphorylation promotes the binding of ER-α to E6AP and its consequent degradation. Binding to calmodulin in the presence of Ca2+ is required for calcineurin activation. Calmodulin was also previously shown to control the stability and activity of ER-α through an unknown mechanism (18). Our results now suggest that calmodulin likely regulates ER-α through its calcineurin-mediated dephosphorylation.
We also found that calcineurin contributes to mTORC1 activation by E2. The activation of mTORC1 by E2 results in the phosphorylation of ER-α on Ser104 and Ser106 (23). We now show that the mTORC1 inhibitor rapamycin inhibited ER-α phosphorylation at Ser118, which is required for ER-α activation. Our results therefore suggest that mTORC1 activates ER-α, at least in part, through phosphorylation at Ser118 and that calcineurin contributes to this regulation. Calcineurin inhibitors were previously shown to attenuate the phosphorylation of Akt and its substrates by reducing the expression of insulin receptor substrate 2 (IRS2), an upstream regulator of the phosphatidylinositol 3-kinase–Akt pathway (27). We also found that calcineurin depletion inhibited E2-induced Akt activation. Although the mechanism by which calcineurin controls mTORC1 activity is unknown, calcineurin may regulate IRS2 expression and thereby activate Akt and mTORC1 in breast cancer cells.
On the basis of our present results, we propose a model according to which calcineurin regulates ER-α signaling by two distinct pathways (Fig. 8C). Calcineurin dephosphorylates ER-α at Ser294, which induces its dissociation from E6AP and consequent stabilization. In addition, calcineurin contributes to the activation of mTORC1 by E2, which promotes the phosphorylation of ER-α at Ser118 and thereby increases its transcriptional activity.
Endocrine therapy with selective estrogen receptor modulators, such as tamoxifen, is effective for ER-α–positive breast cancer (2, 3). However, the development of resistance to such therapy is a major problem, with increased stability of ER-α being one mechanism of such resistance. Estrogen signaling and its physiological effects thus play a central role in breast cancer (14). Our study now indicates that calcineurin prevents the degradation of ER-α by mediating its dephosphorylation at Ser294 and dissociation from E6AP, with the consequent stabilization of ER-α possibly contributing to endocrine therapy resistance. Consistent with this notion, we found that the expression of PPP3CA (which encodes calcineurin A–α) was associated with the poor prognosis of ER-α–positive breast cancer patients on endocrine therapy or treated with tamoxifen.
Phosphorylation is a key mechanism for the regulation of protein function. Emerging evidence suggests that protein dephosphorylation by calcineurin may play an important role in tumor formation and progression (28). Indeed, the increased expression of calcineurin has been associated with the development and progression of several cancer types including breast cancer (20), with the depletion or inhibition of calcineurin having been found to attenuate the growth of breast cancer cells (29). Our present study now identifies calcineurin as a central modulator of ER-α signaling in human breast cancer cells, implicating calcineurin as a promising target to overcome endocrine therapy resistance in breast cancer.
Materials and Methods
Lentivirus Generation and Infection.
Lentivirus generation and infection were performed as described previously (30). In brief, lentiviruses encoding shRNAs were generated by the transfection of HEK293T cells with pCMV-VSV-G-RSV-RevB and pCAG-HIVgp (from Hiroyuki Miyoshi, RIKEN BioResource Center, Tsukuba, Japan and with the corresponding CS-RfA-ETBsd vector with the use of polyethylenimine Max Polyscience). Cells infected with the lentiviruses were treated with blasticidin (A1113903, Gibco) at 10 μg/mL for 2 d. Doxycycline (Dox) (D9891, Sigma-Aldrich) was added to culture medium at 1 μg/mL to induce shRNA expression. The target sequences for the shRNAs were 5'-GCGTATATGATGCCTGTATGG-3'', 5'-GCCAAGGGCTTAGACCGAATT-3'', 5'-CGCTCTAAGAAGAACAGCC-3'', and 5'-CGTGCGTGGAATGCTTCGA-3'' for calcineurin A–α 1 and 2, ER-α, and luciferase, respectively.
Immunoprecipitation and Immunoblot Analysis.
Immunoblot analysis was performed essentially as described previously (31). Cells were washed with ice-cold phosphate-buffered saline, suspended in sample buffer (2% SDS, 10% glycerol, 100 μM dithiothreitol, 0.1% bromophenol blue, and 50 mM Tris·HCl at pH 6.8), and boiled for 5 min. For immunoprecipitation, cells were lysed in immunoprecipitation kinase buffer (50 mM Hepes-NaOH at pH 8.0, 150 mM NaCl, 2.5 mM EGTA, 1 mM dithiothreitol, 0.1% Tween-20, and 10% glycerol) supplemented with protease inhibitors (phenylmethylsulfonyl fluoride, leupeptin, pepstatin A, and aprotinin), and the lysates were incubated with FLAG-M2 agarose (A2220, Sigma-Aldrich) or immunoprecipitation performed with carious antibodies for 1 h at 4 °C with rotation. Raw digital images of immunoblots were captured with the ChemiDoc Imaging System (Bio-Rad), and band intensities were quantified with Image Lab software (Bio-Rad). The half-life of ER-α was calculated according to the exponential one-phase decay equation in nonlinear regression with the use of GraphPad Prism 6 (GraphPad Software) and taking into account the band intensity of β-actin. All primary antibodies are listed in SI Appendix, Table S1.
E2 Treatment.
Cells were cultured in minimum essential medium α (41061-029, Gibco) supplemented with 5% charcoal-stripped fetal bovine serum (A3382101, Gibco) for the indicated times before exposure to E2 (E8875, Sigma) at 10 nM.
RT-qPCR Analysis.
Total RNA was extracted from cells, as described previously (32), with the use of ISOGEN II (311-07361, Nippon Gene) and was subjected to RT with random primers and the use of a High Capacity cDNA Reverse Transcription Kit (4368814, ABI). The resulting complementary DNA was subjected to qPCR analysis with FastStart Universal SYBR Green Master (11226200, Roche) and a StepOnePlus real-time PCR system (Applied Biosystems). The abundance of target mRNAs was normalized by that of 18S ribosomal RNA. Primer sequences are provided in SI Appendix, Table S2.
Phosphatase Assay.
A phosphatase assay was performed as previously described (33). FLAG–ER-α was immunoprecipitated from transfected MCF7 cells with anti-FLAG M2 affinity gel (A2220, Sigma-Aldrich) and then eluted with FLAG peptide (F4799, Sigma-Aldrich) in the assay buffer (20 mM Tris·HCl at pH 7.5, 10 mM MgCl2, 0.1 mM CaCl2, and bovine serum albumin at 1 μg/mL). It was then incubated for 2 h at 37 °C with or without recombinant human calcineurin (3160-CA, R&D Systems) and calmodulin (208670, Merck) in an assay buffer before immunoblot analysis.
RNA-seq Analysis.
MCF7 cells expressing control or calcineurin A–α shRNAs after culture with Dox for 2 d were subjected to total RNA extraction with the use of an RNeasy Mini Kit (74106, Qiagen). The RNA integrity number was measured with an Agilent 2100 Bioanalyzer for evaluation of RNA quality. Poly(A)+ RNA was then isolated with the use of a NEBNext Poly (A) mRNA Magnetic Isolation Module (E7490, New England BioLabs [NEB]), and a cDNA library was prepared with a NEBNext Ultra II RNA Library Prep Kit for Illumina (E7770, NEB). The cDNA was ligated with NEBNext Adaptor (E7335, NEB), amplified by PCR, and sequenced with the NextSEq. 500 system (SY-415–1001, Illumina). Raw reads were processed by fastp version 0.20.1 (34) for trimming and quality control. Reads were aligned to human reference cDNAs (GRCh38.p13) and counted with Salmon version 1.4.0 (35). Tximport version 1.16.1 (36) was applied to provide transcript-level estimates for gene-level analyses. Raw counts were used to perform quality control (Fig. 4 A and B) with DEBrowser version 1.16.2 (37). GSEA was conducted with Signal2Noise values for all detected genes and for the indicated comparisons as the ranking metric and with the use of GSEA software version 4.1.0 (38) and C2 version 7.2 in the Molecular Signatures Database (39). DEGs were determined as those with an absolute value of log2 (fold change) of >0.5 and adjusted P value of <0.05 by application of the Wald test in DESeq2 version 1.28.1 (40), and they were subjected to IPA (41) (Qiagen).
Statistical Analysis.
All statistical analyses were performed with the data obtained from at least three biological replicates. Statistical analysis was performed with GraphPad Prism 9. Quantitative data are represented as the mean ± SEM and were analyzed with the paired or unpaired t test for the comparison of two groups or by one-way ANOVA followed by Dunnett’s test for comparisons among three or more groups. A P value of <0.05 was considered statistically significant. Kaplan–Meier plots of relapse-free survival, based on the expression of PPP3CA (202429_ s_at) or PPP3CB (202432_at), were generated with the Kaplan–Meier plotter (42). The following conditions were modified from the default: Intrinsic subtype (basal/luminal A/luminal B/HER2+); patients with following systemic treatment: endocrine therapy (include/tamoxifen only). All datasets available in May 2021 were used for the analysis.
Other detailed information is described in SI Appendix.
Acknowledgments
We thank N. Kawasaki for technical assistance; M. Iizuka (Teikyo University) for providing an ER-α expression vector; M. Okada (Tokyo University of Technology) for providing firefly and Renilla luciferase constructs; T. Ohta (St. Marianna University School of Medicine) for providing an HA–ubiquitin expression vector; H. Miyoshi (Riken) for providing lentivirus expression vector; and K. Nakayama (Kyusyu University), T. Ohama, and S. Shibutani of the Yamaguchi University Project for Formation of the Core Research Center for discussion. This study was supported by Research Fellowships of the Japanese Society for the Promotion of Science (Grant Nos. 18H02681 and 20K21503 to M.S.) and Fusion Oriented REsearch for disruptive Science and Technology to M.S.), Yamaguchi University Project for Formation of the Core Research Center (M.S.), and Grants from MSD (Merck Sharp and Dohme) Life Science Foundation, Public Interest Incorporated Foundation, and NOVARTIS Foundation (Japan) for the Promotion of Science (M.S.).
Footnotes
The authors declare no competing interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2114258118/-/DCSupplemental.
Data Availability
RNA-seq raw reads have been submitted to the DNA Data Bank of Japan Sequence Read Archive (DRA)/The National Center for Biotechnology Information Sequence Read Archive (SRA)/European Bioinformatics Institute Sequence Read Archive (ERA) databases under accession number DRA011729 (43). All other study data are included in the article and/or SI Appendix.
Change History
November 3, 2021: The figures has been updated.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
RNA-seq raw reads have been submitted to the DNA Data Bank of Japan Sequence Read Archive (DRA)/The National Center for Biotechnology Information Sequence Read Archive (SRA)/European Bioinformatics Institute Sequence Read Archive (ERA) databases under accession number DRA011729 (43). All other study data are included in the article and/or SI Appendix.