Abstract
Anoikis resistance is an essential prerequisite for tumor metastasis, but the underlying molecular mechanisms remain unknown. Herein, we report that the oncoprotein hepatitis B X-interacting protein (HBXIP) is prominently upregulated in breast cancer cells following ECM detachment. Altering HBXIP expression can impair the anchorage-independent growth ability of tumor cells. Mechanistically, HBXIP, which binds to Kelch-like ECH-associated protein 1 (Keap1) to activate nuclear factor E2-related factor 2 (Nrf2), contains a cis-acting antioxidant response element (ARE) in the gene promoter and is a target gene of Nrf2. The HBXIP/Nrf2 axis forms a reciprocal positive feedback loop that reinforces the expression and tumor-promoting actions of each protein. In response to ECM detachment, Nrf2 reduces reactive oxygen species (ROS) accumulation, protects the mitochondrial membrane potential and increases cellular ATP, GSH and NADPH levels to maintain breast cancer cell survival. Meanwhile, the reinforcement of HBXIP induced by Nrf2 inhibits JNK1 activation by inhibiting ubiquitin-mediated degradation of Prdx1, which also plays an essential role in promoting ECM-detached cell survival. Furthermore, a strong positive correlation was identified between HBXIP expression and Prdx1 expression in clinical breast cancer tissues and TCGA Pan-Cancer Atlas clinical data of breast invasive carcinoma based on the cBioPortal cancer genomics database. Co-expression of HBXIP and Prdx1 predicts a poor prognosis for breast cancer patients. Collectively, our findings reveal a significant mechanism by which the HBXIP/Nrf2 feedback loop contributes to anoikis resistance by maintaining redox homeostasis and inhibiting JNK1 activation and support the likely therapeutic value of the HBXIP/Nrf2 axis in breast cancer patients.
Subject terms: Apoptosis, Breast cancer, Oncogenes
Introduction
Breast cancer metastasis is a multi-step and multi-factor process, including the reintegration and degradation of the extracellular matrix (ECM), detachment from local tissue, invasion of blood or the lymphatic system, and the formation of new tumors in distant locations. Loss of attachment or inappropriate attachment to the ECM and neighboring cells results in programmed cell death, referred to as anoikis. Studies have confirmed that anoikis serves as the first line of defense against metastasis and is an early intervention preventing cancer metastasis1. Anoikis resistance endows malignant breast cancer cells with anchorage-independent growth abilities, which aid in tumor metastasis. Tumor cells adopt multilevel strategies to evade anoikis, such as alterations in glucose and fatty acid metabolism2, reactive oxygen species (ROS)-mediated activation of signaling pathways3, alterations in autophagy signaling4, integrin deregulation5, and aberrant constitutive activation of several antiapoptotic or prosurvival pathways1. Despite these important findings from previous studies, the large number of unknown mechanisms involved in anoikis resistance remains a complex problem requiring further research.
Mammalian hepatitis B X-interacting protein (HBXIP, also termed LAMTOR5) is an 18.6-kDa protein that is highly conserved among mammals. Studies have confirmed that HBXIP is an oncoprotein that is markedly enriched in cancer tissues6,7. HBXIP functions as an oncogenic transcriptional coactivator of various transcription factors (TFs), such as SP1, TF-IID, STAT3, CREB, and E2F1, in the promotion of breast cancer tumorigenesis and progression6–8. Recently, our group revealed a regulatory mechanism for cellular ROS production and the progression of breast cancer in which HBXIP functions as a critical modulator of the classical Keap-Nrf2-antioxidant response element (ARE) pathway9. HBXIP effectively competes with Nrf2 for binding to the Keap1 protein and promotes the nuclear entry and phosphorylation of Nrf2, which modulates the activation of ARE-dependent signaling pathways, thereby reducing cellular ROS levels9. However, whether HBXIP is involved in breast cancer cell anoikis resistance remains unclear.
In the present study, we provided the first evidence that HBXIP is upregulated and forms a reciprocal HBXIP/Nrf2 feedback loop in breast cancer cells to promote cell survival following ECM detachment. Mechanistically, the HBXIP gene contains a cis-acting ARE in its promoter that can be recognized and activated by Nrf2. Furthermore, the reinforced HBXIP effectively competes with Nrf2 for binding to the Keap1 protein9 and activates the Nrf2-ARE pathway. The positive HBXIP/Nrf2 feedback loop promotes the anchorage-independent survival of cancer cells through Nrf2 maintenance of robust ROS levels and HBXIP stabilization of peroxiredoxin 1 (Prdx1) to inhibit JNK activation. Taken together, our findings provide insight into the molecular mechanism modulating breast cancer cell anoikis and metastasis and offer the probable therapeutic value of the HBXIP/Nrf2 axis in breast cancer patients.
Results
HBXIP is upregulated following ECM detachment and induces anoikis resistance of breast cancer cells
To clarify the relationship between HBXIP and anoikis in breast cancer cells, we first evaluated the variations in HBXIP expression in MCF-7 (which have relatively low HBXIP expression levels) and MDA-MB-436 (which have relatively high HBXIP expression levels) cells following ECM detachment (Supplementary Fig. 1A). The qRT-PCR and western blot results showed noticeable increases in the levels of both the HBXIP mRNA and protein in a time-dependent manner following detachment (Fig. 1A). The induction of ECM reattachment of suspended breast cancer cells led to decreased HBXIP expression (Fig. 1B). Moreover, the addition of a Matrigel basement membrane-like matrix to breast cancer cells in suspension culture significantly blocked the increases in HBXIP mRNA and protein levels (Fig. 1C). In addition, noticeable increases in the HBXIP protein level were detected in Luminal type T47D, Her2+ type SK-BR3, and TNBC type MDA-MB-231 breast cancer cells following detachment (Supplementary Fig. 1B). These data suggest that HBXIP may be involved in anoikis regulation in breast cancer.
To determine whether HBXIP participates in anoikis in breast cancer cells, we established stable overexpression or knockdown of HBXIP via the ectopic expression of HBXIP cDNA or HBXIP shRNA using lentiviral technology. HBXIP overexpression significantly increased the ratio of ECM-detached living cells, whereas HBXIP deficiency exacerbated the proapoptotic effect of ECM detachment on breast cancer cells (Fig. 1D, E). Enforced HBXIP expression led to a reduction in the cleaved PARP and activated caspase-3 (or caspase-7 in MCF-7 cells) levels in breast cancer cells in suspension culture compared with levels in control group cells. Inversely, significant increases in the levels of cleaved caspase-3 (or caspase-7 in MCF-7 cells) and cleaved PARP in the cell extracts were observed in HBXIP-deficient cells (Fig. 1F). Moreover, HBXIP knockdown significantly suppressed the anchorage-independent growth of MDA-MB-436 cells (Fig. 1G). Previous studies have certified that HBXIP overexpression (or knockdown) potently enhances (or attenuates) the colony formation capacity of various types of cancer cells9–13. Taken together, these results indicate that HBXIP induces anoikis resistance in breast cancer cells in vitro.
Identification of Nrf2 as a positive regulator of the HBXIP gene
Next, a pGL3-HBXIP firefly luciferase reporter gene system was established by cloning the ~2.5-kb HBXIP promoter sequence amplified from MCF-7 cell chromatin into the vector pGL3. The HBXIP promoter activity increased significantly after cell detachment (Supplementary Fig. 1C), suggesting that certain transcriptional regulators are involved in this process. A transcription factor (TF) activation profiling array assay was conducted using MCF-7 cells cultured under standard and suspension conditions to conclusively determine the mechanism by which breast cancer cells induce HBXIP gene transcription. The activities of 96 cellular TFs, such as NF-κB, HIF, and SATB1, which are crucial to the regulation of gene expression14, were simultaneously monitored using a TF profiling array. The activity of 5 of the 96 TFs in MCF-7 cells, namely, HIF, OCT4, SATB1, Nrf2, Sox2, and Snail, was increased more than 1.7-fold upon ECM detachment (Fig. 2A). Subsequently, the HBXIP promoter activity was verified in MCF-7 cells overexpressing one of the top three potential candidates: SATB1, Nrf2, and Sox2. As shown, Nrf2 but not SATB1 or Sox2 overexpression enhanced HBXIP promoter activity (Fig. 2B). Moreover, transfection of increasing concentrations of pCMV-Nrf2 led to a dose-dependent enhancement of HBXIP promoter activity in both MCF-7 and MDA-MB-436 cells (Fig. 2C). Conversely, knockdown of Nrf2 by specific siRNAs attenuated HBXIP promoter activity (Fig. 2D). These results were also verified in HEK293 cells, which express extremely low levels of endogenous Nrf2 and HBXIP. Coincidentally, enforced Nrf2 expression potently enhanced HBXIP promoter activity in HEK293 cells (Fig. 2E). Subsequently, we verified the specificity of Nrf2-mediated activation of HBXIP expression using Nrf2−/− mouse embryonic fibroblasts (MEFs) treated with H2O2, which can activate Nrf2. Reporter gene assays showed that HBXIP promoter activity in Nrf2−/− MEFs was potently attenuated relative to that in Nrf2+/+ MEFs. In addition, the rescue of Nrf2 expression effectively restored HBXIP promoter activity. Furthermore, H2O2 treatment enhanced HBXIP promoter activity in Nrf2+/+ MEFs and in rescued Nrf2−/− MEFs (Fig. 2F and Supplementary Fig. 1D). Inhibition of Nrf2 by the specific inhibitor brusatol (40 nM)15 for 4 h significantly decreased HBXIP promoter activity and HBXIP protein levels in MCF-7 cells and MDA-MB-436 cells (Supplementary Fig. 1E). These results suggest that the transcription factor Nrf2 contributes to HBXIP gene expression in breast cancer cells following detachment.
Functional validation of putative Nrf2 binding sites in the HBXIP promoter
The oxidative defense factor Nrf2, a critical trans-acting transcriptional activator that heterodimerizes with small Maf proteins, activates cytoprotective gene transcription by binding to a cis-acting element called the antioxidant responsive element (ARE) in promoter sequences16. Accordingly, the HBXIP promoter sequence was analyzed using the Cistrome Analysis Pipeline (http://cistrome.org/)17 to explore putative cis-acting AREs. Three putative AREs located in the promoter region between nucleotide positions −825 and −815 (ARE1), −1044 and −1034 (ARE2), and −1773 and −1763 (ARE3) from the transcription start site (TSS) were identified in the HBXIP promoter (Supplementary Fig. 1F). Accordingly, the full-length HBXIP promoter and multiple HBXIP promoters with the indicated deletion mutations were cloned into the pGL3-Basic vector to investigate the functionality of these putative AREs (Fig. 3A, left panel). The promoter of human NADH quinone oxidoreductase (NQO1)9, which contains an ARE, was cloned into the same vector and used as a positive Nrf2-activatable control. The constructed promoter-containing luciferase reporter plasmids were transfected into MCF-7 cells, and the effective ARE was identified according to the luciferase activity. As shown in Fig. 3A (right panel), luciferase reporter activity was prominently invoked if ARE1 was contained in the promoter. Moreover, upon treatment of the transfected MCF-7 cells described above with H2O2, the full-length HBXIP promoter-Luc construct and the deletion mutant HBXIP promoter-Luc constructs containing ARE1, as well as the positive control NQO1-ARE promoter-Luc construct, showed obviously enhanced luciferase activity (Fig. 3B). Next, three mutated HBXIP promoter sequences (Fig. 3C, left panel) constructed using site-directed mutagenesis were cloned separately into the pGL3-Basic vector (Fig. 3C, middle panel), and luciferase activity was evaluated in MCF-7 cells to further verify the functionality of ARE1-ARE3. When the HBXIP-MT1 group was compared with the other indicated groups, only the loss-of-function mutation in the ARE1 element resulted in a significant reduction in HBXIP promoter-driven luciferase activity (Fig. 3C, right panel). Therefore, ARE1 is the effective cis-acting element for Nrf2-mediated regulation of HBXIP gene expression.
Subsequently, we performed ChIP assays and EMSAs to ascertain whether Nrf2 binds to the HBXIP gene promoter. Chromosomal DNA was immunoprecipitated from MCF-7 cells using a specific anti-Nrf2 antibody, and PCR arrays for the ARE1, ARE2, and ARE3 regions were analyzed with the help of the corresponding specific primers (Supplementary Table 2). Consistent with the data shown in Fig. 3A–C, specific amplified PCR products from the ARE1 and NQO1-ARE (positive control)-immunoprecipitated chromatin groups were detected in the ChIP assays, demonstrating that ARE1 is the specific binding site for Nrf2 (Fig. 3D). The specific interaction between Nrf2 and ARE1 was also verified in Her2-positive SK-BR3 and TNBC MDA-MB-436 breast cancer cells (Supplementary Fig. 1G). Next, a ChIP-qPCR assay was employed to compare the binding between Nrf2 and ARE1 in attached and detached MCF-7 cells. As expected, ECM detachment induced an increase in Nrf2 binding to ARE1 in the HBXIP promoter, and this increase was abolished under Nrf2 knockdown conditions (Fig. 3E). To further support the specific interaction between Nrf2 and ARE1 in the HBXIP promoter, we performed EMSA with probes derived from the corresponding putative ARE core regions (Supplementary Table 5), and we indeed observed the DNA-Nrf2 complex only in the ARE1 group (Fig. 3F). Mutating the core ARE1 sequence (A and T to G; G and C to A) completely inhibited the interaction between Nrf2 and ARE1 (Supplementary Fig. 1H). Moreover, the interaction between Nrf2 and the ARE1 probe was competitively inhibited by cold ARE1 and cold NQO1-ARE probes (Fig. 3G). The supershift of the ARE1-Nrf2 complex induced by the anti-Nrf2 antibody further verified the binding specificity (Fig. 3H). These results indicate that Nrf2 binds to the promoter ARE1 site to activate HBXIP gene expression and HBXIP is a target gene of Nrf2.
The HBXIP/Nrf2 feedback loop regulates redox homeostasis in breast cancer cells following detachment
We further validated the effect of Nrf2 on HBXIP protein expression. Upregulating the expression of Nrf2 in MCF-7 cells (which exhibit relatively low HBXIP and Nrf2 expression compared with MDA-MB-436 cells9 (Supplementary Fig. 1A)) by infection with LV-Nrf2 lentivirus or treating cells with H2O2 to activate Nrf2 led to significant upregulation of HBXIP and NQO1 protein expression (Fig. 4A, left panel). Conversely, downregulating Nrf2 by infecting MDA-MB-436 cells (which exhibit relatively high HBXIP and Nrf2 expression9 (Supplementary Fig. 1A)) with an LK-shNrf2 lentivirus or inactivating Nrf2 by incubating cells with the Nrf2-specific inhibitor ML385, which blocks Nrf2 heterodimerization with small Maf proteins, potently downregulated HBXIP and NQO1 protein expression (Fig. 4A, right panel). Additionally, extremely low HBXIP expression was found in Nrf2−/− MEFs, and reinstating Nrf2 expression in Nrf2-/- MEFs upregulated HBXIP expression (Fig. 4B). These data suggest that HBXIP expression is regulated by Nrf2. Intriguingly, our previous study showed that HBXIP competitively interacts with Keap1 to activate Nrf2 and its downstream ARE genes in breast cancer9. Here, Nrf2 directly bound to the HBXIP promoter ARE and activated HBXIP expression. HBXIP and Nrf2 form a positive feedback loop, and the time-course increase in the expression of both HBXIP and Nrf2 is almost consistent in MCF-7 and MDA-MB-231 cells following ECM detachment (Supplementary Fig. 1I). Thus, the HBXIP/Nrf2 axis may induce anoikis resistance in breast cancer.
ECM detachment can lead to harmful metabolic changes, including increased ROS accumulation, attenuated pentose phosphate pathway (PPP) flux and decreased ATP levels18. We investigated whether the HBXIP/Nrf2 feedback loop affects redox homeostasis by employing indicated stable breast cancer cells following ECM detachment. HBXIP and Nrf2 expression9 in the indicated stable cell lines is shown in Supplementary Fig. 1J. As shown in Fig. 4C and Supplementary Fig. 2A, HBXIP or Nrf2 knockdown (or overexpression) and simultaneous HBXIP and Nrf2 knockdown (or overexpression) significantly upregulated (or downregulated) intracellular ROS levels and mtROS levels, enhanced (or attenuated) mitochondrial permeabilization, decreased (or increased) levels of the two most abundant antioxidants GSH and NADPH, and attenuated (or enhanced) ATP production in breast cancer cells following ECM detachment (Fig. 4C and Supplementary Fig. 2A). Single knockdown (or overexpression) of HBXIP (or Nrf2) had effects similar to those of double knockdown (or overexpression) of the HBXIP/Nrf2 axis (Fig. 4C and Supplementary Fig. 2A). Moreover, compared with HBXIP KD/Nrf2 OE cells, HBXIP OE/Nrf2 KD had limited effects on rescuing the oxidate situation, PPP flux, mitochondrial permeabilization and ATP production relative to HBXIP/Nrf2 KD cells following ECM detachment (Fig. 4C and Supplementary Fig. 2A). These results demonstrate that HBXIP alone has little ability to modulate ROS, PPP flux, and ATP production unless Nrf2 is co-expressed, which is consistent with our previous study showing that HBXIP modulates ROS in breast cancer cells by competing with Nrf2 for binding with KEAP1 and promoting Nrf2 accumulation and activation9. The positive HBXIP/Nrf2 feedback loop might reinforce the antioxidant abilities of ECM-detached breast cancer cells to induce anoikis resistance.
Prdx1/JNK signaling is required for HBXIP/Nrf2 feedback loop-induced anoikis resistance
Antioxidant N-acetyl-l-cysteine (NAC) could mimic the effect of the HBXIP/Nrf2 axis to eliminate cellular ROS in detached MDA-MB-436 cells. However, the increased apoptosis rate induced by blocking the HBXIP/Nrf2 axis was only partially rescued by NAC treatment (Fig. 5A). Additionally, elevating the intracellular ROS level following H2O2 treatment caused a partial increase in the apoptosis rate of HBXIP/Nrf2-enforced MCF-7 cells (Fig. 5B). These results suggest that maintaining robust intracellular ROS levels is only one of the necessary conditions for breast cancer cell survival following ECM detachment.
Prdx1, a target factor of Nrf219, acts as a molecular chaperone to protect tumor cells from apoptosis by inhibiting JNK1 activation20. We investigated whether the Prdx1/JNK1 signaling was involved in the HBXIP/Nrf2 feedback loop-mediated anoikis resistance. Knockdown of the HBXIP/Nrf2 axis significantly downregulated Prdx1 expression and increased the level of proapoptotic phospho-JNK1 (Fig. 5C, left panel). By contrast, overexpressing the HBXIP/Nrf2 axis significantly increased Prdx1 expression and decreased the phospho-JNK1 levels in ECM-detached MCF-7 cells (Fig. 5D, left panel). In addition, we found that both HBXIP and Nrf2 have positive effects on Prdx1 protein accumulation in cells following ECM detachment. As shown in Fig. 5E, the Prdx1 protein levels in HBXIP OE/Nrf2 KD cells and HBXIP KD/Nrf2 OE cells were apparently higher than in HBXIP/Nrf2 double KD cells following ECM detachment. Meanwhile, the levels of ubiquitinated Prdx1 in HBXIP KD/Nrf2 OE cells and HBXIP/Nrf2 double KD cells were apparently higher than in HBXIP OE/Nrf2 KD cells (Fig. 5E). Moreover, in ECM-detached Nrf2 knockdown breast cancer cells, the Prdx1 level was positively correlated with the HBXIP level, but the ubiquitinated Prdx1 level showed the opposite trend (Fig. 5G). Collectively, these findings suggest that the role of HBXIP in regulating Prdx1 accumulation is mainly focused on inhibiting Prdx1 ubiquitination and degradation and that Nrf2 promotes Prdx1 expression. Moreover, the JNK phosphorylation level was negatively correlated with the Prdx1 protein level in the indicated ECM-detached stable cell lines shown in Fig. 5E. Use of the antioxidant NAC to neutralize ROS (or H2O2 treatment) showed little effect on JNK1 phosphorylation or the Prdx1 protein levels in ECM-detached HBXIP/Nrf2-deficient MDA-MB-436 cells (or HBXIP/Nrf2 double OE MCF-7 cells) (Fig. 5C, left panel and Fig. 5D, left panel). This pattern suggests that Prdx1-mediated JNK1 activation is involved in HBXIP/Nrf2 feedback loop-induced anoikis resistance in addition to diminishing ROS levels in breast cancer cells.
Previous research confirmed that Prdx1 interacts with the GSTπ-JNK1 complex and suppresses the release of JNK1 from the complex, which inhibits JNK1 phosphorylation and activation20. The co-immunoprecipitation assay showed that Prdx1 downregulation led to dissociation of the Prdx1-GSTπ-JNK1 complex in HBXIP/Nrf2 feedback loop-deficient breast cancer cells (Fig. 5C, right panel and 5F). Treatment with the antioxidant NAC did not rescue Prdx1 expression or prevent the dissociation of JNK1 from the heterotrimeric complexes (Fig. 5C, right panel). Enforced HBXIP/Nrf2 expression (or HBXIP or Nrf2 overexpression in HBXIP/Nrf2 KD cells) upregulated Prdx1 and stabilized the heterotrimeric complexes, and oxidant (H2O2) treatment did not block the Prdx1-GSTπ-JNK1 interaction (Fig. 5D, right panel and Fig. 5F). We found that HBXIP promotes Prdx1 accumulation in cells by inhibiting E6AP expression, which induced ubiquitin-mediated degradation of Prdx1 (Fig. 5G). Furthermore, inhibiting JNK1 activation with the specific inhibitor SP600125 (or DB07268) promoted the survival of HBXIP/Nrf2-deficient, ECM-detached cells (Fig. 5H). Rescued overexpression of Prdx1 decreased the apoptosis rate of HBXIP/Nrf2 doubles KD breast cancer cells following ECM detachment. Prdx1 knockdown increased the apoptosis rate of HBXIP OE/Nrf2 KD and HBXIP KD/Nrf2 OE breast cancer cells (Fig. 5I). Thus, these results indicate that the reciprocal HBXIP/Nrf2 feedback loop not only prevents unconstrained ROS accumulation but also promotes Prdx1 accumulation and stabilizes the Prdx1-GSTπ-JNK1 complex to reduce JNK1 phosphorylation following ECM detachment.
The HBXIP/Nrf2 feedback loop induces anoikis resistance and metastasis in breast cancer cells in vivo
To confirm whether the HBXIP/Nrf2 feedback loop-induced in vivo anoikis resistance, we established an ascites tumor model by injecting the indicated breast cancer cells into the peritoneal cavity of Balb/c mice. Four days after the i.p. injection, cell viability assays showed that HBXIP/Nrf2 axis-deficient cells exerted more reduced cell viability than the control group (Fig. 6A). The rescued overexpression of Prdx1 increased the survival rate of HBXIP/Nrf2 axis-deficient cells. To further determine the effect of the HBXIP/Nrf2 feedback loop on metastasis, the indicated breast cancer cells were injected into the tail vein of Balb/c mice. Pathological examination of lung metastasis showed that knockdown of the HBXIP/Nrf2 axis significantly inhibited the lung metastasis of breast cancer cells. The rescued overexpression of Prdx1 in HBXIP/Nrf2 axis-deficient cells restored the metastatic ability of tumor cells (Fig. 6B, C).
Because the cellular Prdx1 protein level is also affected by HBXIP in addition to Nrf2 in breast cancer cells (Fig. 5), we tested whether these two proteins are correlated in clinical breast cancer tissues. The expression status of HBXIP and Prdx1 in 128 breast cancer tissues (Supplementary Table 6) was determined using immunohistochemical (IHC) staining. The staining intensity of HBXIP was positively correlated with that of Prdx1 (Fig. 6D, E), and the Prdx1 and HBXIP expression levels were significantly correlated with the status of metastasis in breast cancer tissues (Fig. 6F, G). These findings were further validated clinically by analyzing the cBioPortal cancer genomics database of breast cancer datasets. In total, 994 breast invasive carcinoma patients with complete genomic data (TCGA, PanCancer Atlas, Cell 2018) were collected from cBioPortal for Cancer Genomics database21,22. The clinical characteristics of patients are summarized in Supplementary Table 7. The expression data were normalized to z scores and high (or low) expression was defined by a positive (or negative) z-score value. A markedly positive correlation was observed between HBXIP expression and Prdx1 expression in 994 patients with breast cancer (Fig. 5H). In addition, a significant correlation was found between the HBXIP and Prdx1 protein expression levels (mass spectrometry, CPTAC) in 104 patients (in 994 patients with protein expression data) (Supplementary Fig. 2B, C). Breast carcinoma patients with different risks of cancer progression or death were filtered into four groups (HBIXP high expression group, Prdx1 high expression group, HBXIP/Prdx1 high group, and HBXIP high/Prdx1 low group) based on HBXIP and Prdx1 expression z scores. A log-rank test showed that patients with high HBXIP and Prdx1 co-expression had the worst outcome compared with patients with high expression of either HBXIP or Prdx1 alone (Fig. 6I). The overall survival of the HBXIP high/Prdx1 low group was not significantly different from that of the HBIXP high group (Fig. 6I). We next explored 2463 breast cancer patients filtered by HBXIP expression on Kaplan–Meier Plotter platforms. A log-rank test showed that the recurrence-free survival (RFS) outcome in the HBXIP high/Prdx1 high group was worse than that in the HBXIP high/Prdx1 low group (Supplementary Fig. 2D). This pattern indicates that Prdx1 accumulation mediated by HBXIP contributes to breast cancer development. In summary, the reciprocal HBXIP/Nrf2 feedback loop promotes anoikis resistance in breast cancer cells both in vitro and in vivo by maintaining robust cellular ROS levels and Prdx1 stabilization, which inhibits the release of JNK1 from Prdx1-GSTπ-JNK1 heterotrimeric complexes and subsequently inhibits JNK activation (Fig. 7). Simultaneous inhibition of HBXIP and Nrf2 expression is a possible effective treatment for breast cancer.
Discussion
Metastatic breast cancer cells must be able to resist anoikis to survive under anchorage-independent conditions when they circulate in the bloodstream. The molecular mechanisms of anoikis resistance in invasive breast cancer cells are complicated. The findings in our present study outline a mechanism by revealing the involvement of a reciprocal feedback loop between HBXIP and Nrf2 in inducing anoikis resistance. Breast cancer cells employ HBXIP, which competes with Nrf2 for binding to the Keap1 protein, to activate the Nrf2-ARE pathway9. Interestingly, HBXIP was identified as a target ARE-gene of Nrf2 (Figs. 2–4). Therefore, a reciprocal feedback loop is formed between HBXIP and Nrf2 in breast cancer cells. The HBXIP/Nrf2 axis promotes ECM-detached breast cancer cell survival by reducing cellular ROS accumulation and stabilizing Prdx1, which inhibits the release of JNK1 from Prdx1-GSTπ-JNK heterotrimeric complexes and prevents JNK1 activation (Fig. 7). Therefore, targeting the HBXIP/Nrf2 axis is a promising therapeutic method for breast cancer treatment.
Cancer cell detachment is often accompanied by increased cellular ROS accumulation, which is indispensable for anoikis resistance23. Intracellular ROS and ATP are mainly generated by mitochondria, and cell death caused by alterations in mitochondrial metabolism is closely related to loss of the mitochondrial membrane potential24. ROS perform various functions following cell detachment, such as activating numerous redox-sensitive TFs (p53 AP-1, HIF-1α, and NF-kB)25 and signaling pathways (PI3K/AKT and EGFR)26,27. However, uncontrolled excessive ROS accumulation is lethal to cancer cells, and the activity of both JNK and caspases is sensitive to the redox state of the cell28. Tumor cells must evolve powerful antioxidant systems to maintain ROS at a robust, subtoxic level for survival. The reciprocal HBXIP/Nrf2 feedback loop present in this study is an important means to accomplish this effect. On the one hand, activated Nrf2 activates numerous antioxidative and cellular protection genes, such as NQO1, GCLC, HO-116, and, notably, HBXIP (Figs. 2 and 3). On the other hand, upregulated HBXIP not only competes with Nrf2 for Keap1 binding and promotes Nrf2-ARE activation9 but also functions as a transcriptional coactivator to promote a malignant phenotype6,8. Additionally, the enforced HBXIP/Nrf2 feedback loop promotes the survival of ECM-detached breast cancer cells through enhanced antioxidant-scavenging ability by maintaining the mitochondrial membrane potential and ATP generation to accumulate GSH and NAPDH (Fig. 4). Consistent with our study, antioxidants promote anchorage-independent survival of breast cancer cells by restoring ATP generation29. Recent studies have shown that diminishing ROS by obstructing the flux of glycolytic carbon into mitochondrial oxidation by upregulated pyruvate dehydrogenase kinase 4 enhances cell survival during ECM detachment30. Because maintaining a robust ROS level is important for tumor cell survival and malignant phenotypic progression, we hypothesize that breast cancer cells have multiple mechanisms, including the HBXIP/Nrf2 feedback pathway, to resist excessive ROS production during ECM detachment. Moreover, hyperactivated HBXIP and Nrf2 have been found in chemo-/radiotherapy resistant breast cancer11,31. One possible reason for the development of chemo-/radiotherapy resistance in breast cancer is that the ROS induced by chemo-/radiotherapy can activate positive HBXIP/Nrf2 feedback (Fig. 5 and Supplementary Fig. 1K) and reinforce their respective tumor-promoting actions32,33. Therefore, simultaneous inhibition of HBXIP/Nrf2 is a promising therapeutic approach to enhance the efficacy of breast cancer chemo-/radiotherapy.
The antioxidant ROS scavenger Prdx1 is a member of the redox-regulating peroxiredoxin family. Abnormal Prdx1 expression has been observed in several human cancers, including breast, colon, esophageal, ovarian, oral, lung, and prostate cancers34–38. Prdx1 is a cis-acting ARE-containing target gene of Nrf219 that plays critical role in promoting cancer growth via its diverse activities in metabolizing ROS and serving as a molecular chaperone39–41. The aggressive survival phenotype-promoting function of Prdx1 is traditionally attributed to its antioxidant activity. However, emerging studies have revealed that the cancer-promoting actions of Prdx1 can be explained by its physical interaction with different vital regulatory effectors of proliferation and apoptosis and regulation of their activities41,42. For instance, Prdx1 interacts with the Src homology-3 domain of c-Abl43, the Myc Box II domain of c-Myc44, the macrophage inhibiting factor MIF45, and the C2 domain of PTEN36. These newly explored roles of Prdx1 are independent of its peroxide-detoxifying function, consistent with our findings that Prdx1 suppresses JNK1 activation by forming Prdx1-GSTπ-JNK1 heterotrimeric complexes during ECM detachment of tumor cells. The Prdx1 C52S mutant, which has no antioxidant activity, produced essentially the same results as wild-type Prdx1 on apoptosis inhibition (Supplementary Fig. 3). Our results are consistent with those of a previous study in lung cancer showing that the antioxidant activity and the apoptosis prevention function of JNK inhibition are not associated20. Additionally, although Nrf2 is as an essential TF for Prdx1 gene expression19, our clinical IHC staining analysis and clinical data analysis showed a marked correlation not between Nrf2 and Prdx1 but between HBXIP and Prdx1. High co-expression of HBXIP/Prdx1 predicts a worse survival outcome than high expression of either alone (Fig. 6). Our findings are consistent with those of a previous study on non-small cell lung cancer (NSCLC) indicating that the expression of Prdx1 was not statistically significantly correlated with the expression of Nrf235. Elevated expression of Prdx1, but not Nrf2, is an independent prognostic factor for NSCLC35. In addition, the accumulation of the Prdx1 mRNA and protein was reported to be diminished but not completely abolished in Nrf2 knockout MEFs19. These results indicate that the mechanism regulating Prdx1 accumulation in various cancers34–38 is very complex. In addition to Nrf2, other positive or negative regulatory mechanisms may cooperate to induce the expression of Prdx1 or inhibit its degradation. Our findings in this study provide a possible approach to diminish the elevated expression of Prdx1: inhibiting HBXIP to enhance ubiquitin-dependent degradation of Prdx1.
In conclusion, our present findings present a significant regulatory mechanism by which the reciprocal HBXIP/Nrf2 feedback loop induces anoikis resistance by maintaining robust cellular ROS levels and stabilizing Prdx1 to inhibit the release of JNK1 from Prdx1-GSTπ-JNK heterotrimeric complexes (Fig. 7). These findings offer a new perspective on breast cancer treatment by targeting the HBXIP/Nrf2 axis.
Methods
Cell culture, transfection and generation of stable cell lines
The cell lines used in this study and the corresponding culture methods are summarized in Supplementary table 3. Nrf2−/− MEF lines46 were obtained from Tohoku University (Japan). All plasmids were transfected into indicated subconfluent cells using Lipofectamine 2000 (Invitrogen, Thermo Fisher Scientific) according to the product manual and analyzed 72 h after transfection. Gene-specific or -nonspecific control siRNA duplexes were synthesized by RiboBio (Guangzhou, China) and transfected into cells using the RNAiMAX transfection reagent (Invitrogen, Thermo Fisher Scientific) according to the manufacturer’s handbook. All oligonucleotide sequences used in the present study are provided in Supplementary Table 2.
Plasmids
The plasmids used in this study are listed in Supplementary Table 1. They were generated using conventional restriction enzyme-based cloning technology. The vectors pCMV-tag2B, psPAX2, pMD2.G, pLKO.1, pLVSIN-CMV neo, pGL3-Basic, and pRL-TK; expression constructs pCMV-HBXIP and pCMV-Nrf29; and lentiviral vectors pLKO-HBXIP (puror)9 and pLVSIN-HBXIP (neor)9 were maintained in our laboratory. The plasmids containing cDNAs for SATB1 (BamHI and HindIII, GenBank accession number: M97287.1), Sox2 (BamHI and HindIII, GenBank accession number: NM_003106.4), Prdx1 (BamHIand HindIII, GenBank accession number: NM_181696), and Nrf2 (cloned from pCMV-Nrf2) were generated using regular PCR and separately inserted into pCMV-tag 2B, pLVSIN-CMV pur and pLVSIN-CMV hyg plasmids using the indicated restriction enzymes. The 5’-flanking region (from nt −2156 to +357, +1 TSS) of the HBXIP gene was amplified via PCR from the genomic DNA of MCF-7 cells using specific primers and inserted into the ACC65I and MluI sites upstream of the luciferase gene in the pGL3-Basic vector. The resulting plasmid was sequenced and named pGL-HBXIP FL. Several 5′ deletions (−1688/+357, −1074/+357, −1025/+357, and −808/+357) in the HBXIP promoter were generated by PCR from pGL-HBXIP FL using specific primers, inserted into the pGL3-Basic vector, and named pGL-HBXIP 1688, pGL-HBXIP1074, and pGL-HBXIP 808, respectively. Constructs containing the mutant HBXIP promoter, which were named HBXIP-MT1, MT2, MT3, and MT1/2, carried substituted nucleotides within the putative AREs and were generated using the GeneArt™ Site-Directed Mutagenesis System (Invitrogen, Thermo Fisher Scientific). The human NQO1 gene promoter containing an ARE was generated by PCR from hNQO1-ARE-luciferase reporter plasmids, as described in our previous study9, and inserted into the NheI and SmaI sites of pGL3-basic plasmid to be used as a positive control. All plasmid constructs were verified by restriction digestion and/or DNA sequencing. The primers used in the present study are listed in Supplementary Table 2.
Lentivirus production and generation of stable cell lines
A detailed description of the procedures used for lentivirus production and infection is provided in our previous study9. Briefly, pLKO-shNrf2 was constructed by cloning Nrf2 shRNA (5′-CCGGTCCTACTGTGATGTGAAATCTCGAGATTTCACATCACAGTAGGATTTTTG-3′)47 into the pLKO.1 vector. The lentivirus LK-shNrf2 carrying Nrf2 shRNA was generated and harvested 72 h after co-transfection of 293T cells with the lentiviral vectors psPAX2 and pMD2.G. For overexpression, the lentiviral expression vectors pLVSIN-Nrf2 (puror) and pLVSIN-Prdx1 (Hygr) containing the respective coding sequences were used for transfection, and the recombinant viruses LV-Nrf2 and LV-Prdx1 were produced in 293T cells using the Lenti-X TM HTX Packaging System (CLONTECH Laboratories, Inc.). Lentiviruses were harvested after 72 h.
Cells (50–60% confluence) cultured in serum-free medium containing 8 µg/mL polybrene (Sigma) were infected with the appropriately constructed lentiviruses to generate stable cell lines. Three days after the infection, cells were selected by treatment with either 4 μg/mL puromycin, 800 μg/mL G418, 200 μg/mL hygromycin B, or with a combination of antibiotics for 2 weeks. The qualified stable single-cell clones were screened using the limited dilution method and verified by western blotting.
RNA extraction and qRT-PCR
Total RNA was extracted from the cells indicated in Fig. 1 using TRIzol reagent (Invitrogen, Thermo Fisher Scientific). First-strand cDNAs were synthesized using PrimeScript reverse transcriptase (TaKaRa) and oligo-(dT) according to the manufacturer’s instructions. Quantitative real-time PCR was performed on an iCycler iQ5 Real Time PCR (Bio-Rad Laboratories, Hercules, CA) machine using iQ SYBR Green Supermix (Bio-Rad Laboratories). All qRT-PCR assays were performed in triplicate in at least three independent experiments. Relative expression levels of each target gene were normalized to the GAPDH level. The primers used in the present study are listed in Supplementary Table 2.
Induction of anoikis
The appropriate cells were re-suspended in complete medium with or without 50 μM H2O2 (or 5 mM NAC or 5 μM ML385) and cultured on plates coated with poly-HEMA (Sigma), as described in a previous report29, to induce anoikis. Particularly, sodium pyruvate-free medium was used for H2O2 treatment. At the indicated time points, apoptotic cell death induced by detachment was analyzed using an Annexin V-FITC apoptosis detection kit (KeyGEN Biotech) and flow cytometry according to the manufacturer’s protocol.
To maintain a constant H2O2 concentration in the medium (sodium pyruvate free, Hyclone, Cat# SH30022), the H2O2 treatments were performed using steady-state titration48 according to a previous report49. Briefly, the H2O2 steady-state was achieved by simultaneously adding an initial 50 μM dose of H2O2 and an adequate amount of glucose oxidase, which was added to compensate for the rapid consumption of the initial H2O2 and to keep the H2O2 concentration constant during the entire assay. The H2O2 concentration in the medium was checked periodically by removing aliquots of the medium and measuring the oxygen released after catalase addition using an oxygen electrode.
Soft agar colony formation assay
Cells (1 × 104) were suspended in a complete L-15 medium containing 0.35% agar and plated onto six-well plates coated with a 0.6% agar layer. The cells were cultured for 2 weeks at 37 °C and stained with crystal violet. Images were captured and analyzed with ImageJ software (NIH Image, Bethesda, MD).
Transcription factor activity profiling
MCF-7 cells were cultured under attached or detached conditions for 24 h, and then nuclear proteins were extracted. The activities of 96 transcription factors were determined using TF Activation Profiling Plate Array II with Nuclear Extraction Kit (Signosis) according to the product manual.
Promoter reporter assay and ChIP-qRT-PCR assay
For the HBXIP promoter-reporter assay, the pCMV-SATB1, pCMV-Sox2, or pCMV-Nrf2 constructs were co-transfected separately with the pGL-HBXIP FL promoter construct and pRL-TK normalization construct into MCF-7 cells using Lipofectamine 2000. At 72 h after transfection, the HBXIP promoter activity was tested using the dual-luciferase reporter assay (Promega) according to the manufacturer’s instruction.
The ChIP assay was conducted using a QuikChIP ChIP Kit (Novus Biologicals) according to the manufacturer’s instructions. Briefly, the MCF-7 cells were cultured on poly-HEMA-coated plates for 24 h and then fixed with 1% formaldehyde for 15 min. The cells were lysed and the chromatin sonicated (200–1000 bp fragments). The sheared chromatin was immunoprecipitated with an anti-Nrf2 (1:200 dilution, Cell Signaling Technology, Danvers, MA, USA) or control IgG antibody (1:200 dilution, Cell Signaling Technology, Danvers, MA, USA). After removing the protein, the chromatin was subjected to PCR amplification to detect the putative ARE regions of the HBXIP promoter bound to Nrf2. GAPDH PCR was performed as an internal control, and NQO1-ARE PCR was set as a positive control. PCR products were separated on a 2% agarose gel. The relative binding of Nrf2 to ARE1 in attached and detached MCF-7 and stable Nrf2 knockdown MCF-shNrf2 cells was also compared using ChIP-qRT-PCR on an iCycler iQ5 Real Time PCR machine (Bio-Rad Laboratories) using iQ SYBR Green Supermix (Bio-Rad Laboratories) to verify the specific binding of Nrf2 to ARE1 in the HBXIP promoter. All primers used in the present study are listed in Supplementary Table 2.
Electrophoretic mobility shift assay
DNA fragments derived from the putative ARE1, ARE2 and ARE3 core regions in the HBXIP promoter were synthesized and 5′-end-labeled with [γ-32P]ATP and T4 polynucleotide kinase. The probe sequences are listed in Supplementary Table 2. Labeled AREs (100,000 cpm) were incubated with 10 μg of the MDA-MB-436 nuclear extract in the absence or presence of a 1000-fold molar excess cold ARE1 or cold NQO1-ARE, and a band shift assay was performed using a previously described approach50. Based on the experiment, the gel shift nuclear extract mixture was also incubated with 2 μg of control IgG or Nrf2 antibody (Cell Signaling Technology) at 4 °C for 2 h to perform a supershift assay. The mixtures were separated on a 4% polyacrylamide gel and autoradiographed. Probe sequences used in the present study are listed in Supplementary Table 5.
Transient transfection and luciferase assay
In related experiments, subconfluent transfected or drug-treated cells grown in 24-well plates were co-transfected with the indicated pGL-HBXIP promoter or NQO1-ARE promoter constructs and pRL-TK normalization construct using Lipofectamine 2000 (Invitrogen). After 24 h, the cells were harvested and lysed, and the luciferase activity was measured using the dual-luciferase assay system (Promega). The relative luciferase activity was calculated and plotted after normalizing the values to Renilla luciferase activity.
Annexin V-FITC-PI apoptosis analysis
Apoptotic cells were quantified using an Annexin V-FITC-PI apoptosis detection kit (Vazyme Biotech). Briefly, cells pre-treated with the appropriate molecules were resuspended in 500 μl of binding buffer. Afterwards, 5 μl of PI were added and evenly blended after 5 μl of Annexin V-FITC were added. The mixture was reacted for 15 min at room temperature in the dark. Apoptotic cells were detected using flow cytometry (Ex = 488 nm; Em = 530 nm).
ROS quantification assay
The intracellular ROS levels were measured via flow cytometry using 2,7-dichlorofluorescein diacetate (DCFH-DA) (Nanjing Jiancheng Bioengineering Institute) as a probe. Mitochondrial ROS production was detected using a MitoSOX Red assay (Thermo). Transfected or drug-treated cells in 24-well plates were washed twice with PBS and then incubated with 10 μM DCFH-DA at 37 °C for 30 m or with 5 μM MitoSOX reagent for 10 m in the dark according to the manufacturer’s instructions. The cells were harvested, and the intracellular ROS levels were measured using flow cytometry.
NADPH, GSH, and ATP assays
The intracellular levels of NADPH were measured using a Coenzyme II(NADP/NADPH) content test kit (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer’s instructions. The intracellular levels of reduced GSH were measured using a Reduced Glutathione (GSH) Assay Kit (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer’s instructions. The intracellular level of ATP was measured using an ATP assay kit (Nanjing Jiancheng Bioengineering Institute). All the measurements were normalized to the protein content of the cells.
Mitochondrial membrane potential analysis
The mitochondrial membrane potential was measured using a mitochondrial membrane potential detection kit (JC-1 method) (Nanjing Jiancheng Bioengineering Institute) according to the manufacturer’s instructions. Multivariate data analysis was performed using FlowJo software.
Preparation of cell extracts and immunoblotting
Whole-cell extracts were acquired using a Mammalian Total Protein Extraction Kit (Transgen). Western blot analyses were performed as described previously9. All antibodies used in the present study are listed in Supplementary Table 1. We confirmed all blots derive from the same experiment and were processed in parallel. The uncropped scans of the important blots were presented in Supplementary Information.
Immunohistochemical staining
One hundred twenty-eight paraffin-embedded breast tumor tissues, including 70 malignant carcinomas, 38 metastatic carcinomas, and 20 adjacent normal tissues, were collected from patients undergoing breast cancer resection at the Fourth Hospital of Hebei Medical University (Shijiazhuang, China). The patients’ clinicopathological information is presented in Supplementary Table 6. Two serial sections from each patient were used for IHC staining as described in a previous report9. Positive staining was identified by an experienced pathologist using IHC signal intensity scored as 0, +1, +2, and +3.
TCGA database analysis
Molecular and clinicopathological information of patients with invasive breast cancer was retrieved from the cBioPortal tool (www.cbioportal.org) and comprised 994 eligible samples51 (“Breast Invasive Carcinoma (TCGA, PanCancer Atlas)” dataset) with CAN and expression data22. Kaplan–Meier survival analysis was performed to estimate the survival distributions, and a log-rank test was performed to assess the statistical significance of differences between the groups.
In vivo cell survival and metastasis assays
For the analysis of cell survival in the mouse peritoneal cavity, each of the indicated stable cell lines (5 × 106 per mouse) were i.p. injected into female Balb/c mice (6 weeks old, 5 mice per group). Four days after the injection, ascites was drawn from the peritoneal cavity and washed with culture medium. The possible mouse cell contamination in ascites was removed using a mouse cell depletion kit (Miltenyi Biotec) according to the manufacturer’s instructions. Tumor cell viability was determined using the trypan blue dye exclusion method.
For in vivo metastasis assays, each of the indicated stable breast cancer cell lines was harvested in 0.1 mL of PBS and injected into the lateral tail vein of female Balb/c mice (6 weeks old, 5 mice per group, 5 × 105 cells per mouse) housed under SPF conditions. The mice were euthanatized 3 weeks after the injection, and the lungs were resected and fixed with Bouin’s fixative solution (Solarbio). The lungs were imaged, and the nodules were counted using a dissecting microscope at 4× magnification. The fixed lung tissues were then embedded in paraffin, sectioned, and stained with a hematoxylin and eosin staining kit (Solarbio). All animal studies were complied with relevant ethical regulations for animal testing and research, and all experiments conducted in the study received approval from the Institutional Animal Care and Use Committee of the Hebei University of Science and Technology.
Statistical analysis
A two-tailed Student’s t test was used to compare data between two groups. Data are presented as mean ± SD values. Kaplan–Meier survival curves were analyzed using the log-rank test. Statistically significant correlations between HBXIP and Prdx1 expression in clinical tissues were determined using the chi-square test with GraphPad Prism software (GraphPad Software, CA). Each experiment was repeated at least three times.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
This project was supported by grants from the National Natural Scientific Foundation (No. 81602428), Natural Science Foundation of Hebei Province of China (No. H2019208221), Colleges and Universities in Hebei Province Science and Technology Research Project (No. QN2019169), Grants-in-Aid for Scientific Research (No. 19K16783), Grant for Promoted Research from Kanazawa Medical University (No. 2018-6) and Science and Technology Program of Hebei Province (No. 19222906D).
Author contributions
X.G. and Y.D. provided critical resources. L.L. performed and analyzed the experiments shown in Figs. 2–3 and 5C–I. T.L. and CX.Z. performed and analyzed the experiments shown in Figs. 4 and 5A, B.L.L. and X.G. performed in vivo cell survival and metastasis assays and histopathological analyses. Y.D. performed and analyzed the experiments shown in Fig. 1A–C, F.Z.W. and K.T. performed all the other experiments. X.Z. was responsible for project administration, data analysis and writing the manuscript. L.L. and X.G. contributed equally to this work. All authors reviewed the results and approved the final version of the manuscript.
Data availability
The datasets generated and analyzed during the current study are available from the corresponding author, Dr. Xiaolei Zhou (email address: foxlei@live.cn), upon reasonable request, as described in the following figshare metadata record: 10.6084/m9.figshare.17088764. The full sequences of the newly constructed plasmids for this study are deposited in Addgene under the ID numbers listed in Supplementary Table 1.
Code availability
No custom code was used to generate the data contained in this manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Li Li, Xin Guo.
Supplementary information
The online version contains supplementary material available at 10.1038/s41523-021-00374-x.
References
- 1.Buchheit CL, Weigel KJ, Schafer ZT. Cancer cell survival during detachment from the ECM: multiple barriers to tumour progression. Nat. Rev. Cancer. 2014;14:632–641. doi: 10.1038/nrc3789. [DOI] [PubMed] [Google Scholar]
- 2.Lu J, Tan M, Cai Q. The Warburg effect in tumor progression: mitochondrial oxidative metabolism as an anti-metastasis mechanism. Cancer Lett. 2015;356:156–164. doi: 10.1016/j.canlet.2014.04.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Terada LS, Nwariaku FE. Escaping Anoikis through ROS: ANGPTL4 controls integrin signaling through Nox1. Cancer Cell. 2011;19:297–299. doi: 10.1016/j.ccr.2011.02.019. [DOI] [PubMed] [Google Scholar]
- 4.Dower CM, Wills CA, Frisch SM, Wang HG. Mechanisms and context underlying the role of autophagy in cancer metastasis. Autophagy. 2018;14:1110–1128. doi: 10.1080/15548627.2018.1450020. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Alanko J, et al. Integrin endosomal signalling suppresses anoikis. Nat. Cell Biol. 2015;17:1412–1421. doi: 10.1038/ncb3250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Zhao Y, et al. Oncoprotein HBXIP modulates abnormal lipid metabolism and growth of breast cancer cells by activating the LXRs/SREBP-1c/FAS signaling cascade. Cancer Res. 2016;76:4696–4707. doi: 10.1158/0008-5472.CAN-15-1734. [DOI] [PubMed] [Google Scholar]
- 7.Fang R, et al. LAMTOR5 raises abnormal initiation of O-glycosylation in breast cancer metastasis via modulating GALNT1 activity. Oncogene. 2020;39:2290–2304. doi: 10.1038/s41388-019-1146-2. [DOI] [PubMed] [Google Scholar]
- 8.Li Y, et al. HBXIP and LSD1 scaffolded by lncRNA hotair mediate transcriptional activation by c-Myc. Cancer Res. 2016;76:293–304. doi: 10.1158/0008-5472.CAN-14-3607. [DOI] [PubMed] [Google Scholar]
- 9.Zhou XL, Zhu CY, Wu ZG, Guo X, Zou W. The oncoprotein HBXIP competitively binds KEAP1 to activate NRF2 and enhance breast cancer cell growth and metastasis. Oncogene. 2019;38:4028–4046. doi: 10.1038/s41388-019-0698-5. [DOI] [PubMed] [Google Scholar]
- 10.Cai X, et al. HBXIP-elevated methyltransferase METTL3 promotes the progression of breast cancer via inhibiting tumor suppressor let-7g. Cancer Lett. 2018;415:11–19. doi: 10.1016/j.canlet.2017.11.018. [DOI] [PubMed] [Google Scholar]
- 11.Liu B, et al. Oncoprotein HBXIP enhances HOXB13 acetylation and co-activates HOXB13 to confer tamoxifen resistance in breast cancer. J. Hematol. Oncol. 2018;11:26. doi: 10.1186/s13045-018-0577-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Zhang J, et al. Oncoprotein HBXIP promotes tumorigenesis through MAPK/ERK pathway activation in non-small cell lung cancer. Cancer Biol. Med. 2021;18:105–119. doi: 10.20892/j.issn.2095-3941.2020.0098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Fang X, et al. Germacrone regulates HBXIP-mediated cell cycle, apoptosis and promotes the formation of autophagosomes to inhibit the proliferation of gastric cancer cells. Front Oncol. 2020;10:537322. doi: 10.3389/fonc.2020.537322. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Hasanpourghadi M, Pandurangan AK, Mustafa MR. Modulation of oncogenic transcription factors by bioactive natural products in breast cancer. Pharmacol. Res. 2018;128:376–388. doi: 10.1016/j.phrs.2017.09.009. [DOI] [PubMed] [Google Scholar]
- 15.Ren D, et al. Brusatol enhances the efficacy of chemotherapy by inhibiting the Nrf2-mediated defense mechanism. Proc. Natl Acad. Sci. USA. 2011;108:1433–1438. doi: 10.1073/pnas.1014275108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yamamoto M, Kensler TW, Motohashi H. The KEAP1-NRF2 System: a Thiol-Based Sensor-Effector Apparatus for Maintaining Redox Homeostasis. Physiol. Rev. 2018;98:1169–1203. doi: 10.1152/physrev.00023.2017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Liu T, et al. Cistrome: an integrative platform for transcriptional regulation studies. Genome Biol. 2011;12:R83. doi: 10.1186/gb-2011-12-8-r83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schafer ZT, et al. Antioxidant and oncogene rescue of metabolic defects caused by loss of matrix attachment. Nature. 2009;461:109–113. doi: 10.1038/nature08268. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Kim YJ, et al. Human prx1 gene is a target of Nrf2 and is up-regulated by hypoxia/reoxygenation: implication to tumor biology. Cancer Res. 2007;67:546–554. doi: 10.1158/0008-5472.CAN-06-2401. [DOI] [PubMed] [Google Scholar]
- 20.Kim YJ, et al. Prx1 suppresses radiation-induced c-Jun NH2-terminal kinase signaling in lung cancer cells through interaction with the glutathione S-transferase Pi/c-Jun NH2-terminal kinase complex. Cancer Res. 2006;66:7136–7142. doi: 10.1158/0008-5472.CAN-05-4446. [DOI] [PubMed] [Google Scholar]
- 21.Gao J, et al. Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci. Signal. 2013;6:pl1. doi: 10.1126/scisignal.2004088. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Cerami E, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2:401–404. doi: 10.1158/2159-8290.CD-12-0095. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Li AE, et al. A role for reactive oxygen species in endothelial cell anoikis. Circ. Res. 1999;85:304–310. doi: 10.1161/01.res.85.4.304. [DOI] [PubMed] [Google Scholar]
- 24.Chowdhury SR, Ray U, Chatterjee BP, Roy SS. Targeted apoptosis in ovarian cancer cells through mitochondrial dysfunction in response to Sambucus nigra agglutinin. Cell Death Dis. 2017;8:e2762. doi: 10.1038/cddis.2017.77. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Parri M, Chiarugi P. Redox molecular machines involved in tumor progression. Antioxid. Redox Signal. 2013;19:1828–1845. doi: 10.1089/ars.2012.5040. [DOI] [PubMed] [Google Scholar]
- 26.Peshavariya H, et al. NADPH oxidase isoform selective regulation of endothelial cell proliferation and survival. Naunyn Schmiedebergs Arch. Pharmacol. 2009;380:193–204. doi: 10.1007/s00210-009-0413-0. [DOI] [PubMed] [Google Scholar]
- 27.Giannoni E, Fiaschi T, Ramponi G, Chiarugi P. Redox regulation of anoikis resistance of metastatic prostate cancer cells: key role for Src and EGFR-mediated pro-survival signals. Oncogene. 2009;28:2074–2086. doi: 10.1038/onc.2009.77. [DOI] [PubMed] [Google Scholar]
- 28.Nakajima A, et al. Downregulation of c-FLIP promotes caspase-dependent JNK activation and reactive oxygen species accumulation in tumor cells. Oncogene. 2008;27:76–84. doi: 10.1038/sj.onc.1210624. [DOI] [PubMed] [Google Scholar]
- 29.Li K, et al. ZNF32 induces anoikis resistance through maintaining redox homeostasis and activating Src/FAK signaling in hepatocellular carcinoma. Cancer Lett. 2019;442:271–278. doi: 10.1016/j.canlet.2018.09.033. [DOI] [PubMed] [Google Scholar]
- 30.Kamarajugadda S, et al. Glucose oxidation modulates anoikis and tumor metastasis. Mol. Cell Biol. 2012;32:1893–1907. doi: 10.1128/MCB.06248-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rojo de la Vega M, Chapman E, Zhang DD. NRF2 and the Hallmarks of Cancer. Cancer Cell. 2018;34:21–43. doi: 10.1016/j.ccell.2018.03.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Xiu M, et al. The oncogenic role of HBXIP. Biomed. Pharmacother. 2021;133:111045. doi: 10.1016/j.biopha.2020.111045. [DOI] [PubMed] [Google Scholar]
- 33.Kitamura H, Motohashi H. NRF2 addiction in cancer cells. Cancer Sci. 2018;109:900–911. doi: 10.1111/cas.13537. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Guo QJ, et al. MicroRNA-510 promotes cell and tumor growth by targeting peroxiredoxin1 in breast cancer. Breast Cancer Res. 2013;15:R70. doi: 10.1186/bcr3464. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kim JH, et al. Elevated peroxiredoxin 1, but not NF-E2-related factor 2, is an independent prognostic factor for disease recurrence and reduced survival in stage I non-small cell lung cancer. Clin. Cancer Res. 2007;13:3875–3882. doi: 10.1158/1078-0432.CCR-06-2893. [DOI] [PubMed] [Google Scholar]
- 36.Cao J, et al. Prdx1 inhibits tumorigenesis via regulating PTEN/AKT activity. EMBO J. 2009;28:1505–1517. doi: 10.1038/emboj.2009.101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yanagawa T, et al. Peroxiredoxin I expression in human thyroid tumors. Cancer Lett. 1999;145:127–132. doi: 10.1016/s0304-3835(99)00243-8. [DOI] [PubMed] [Google Scholar]
- 38.Yanagawa T, et al. Peroxiredoxin I expression in oral cancer: a potential new tumor marker. Cancer Lett. 2000;156:27–35. doi: 10.1016/s0304-3835(00)00434-1. [DOI] [PubMed] [Google Scholar]
- 39.Wood ZA, Schroder E, Robin Harris J, Poole LB. Structure, mechanism and regulation of peroxiredoxins. Trends Biochem. Sci. 2003;28:32–40. doi: 10.1016/s0968-0004(02)00003-8. [DOI] [PubMed] [Google Scholar]
- 40.Rhee SG, Chae HZ, Kim K. Peroxiredoxins: a historical overview and speculative preview of novel mechanisms and emerging concepts in cell signaling. Free Radic. Biol. Med. 2005;38:1543–1552. doi: 10.1016/j.freeradbiomed.2005.02.026. [DOI] [PubMed] [Google Scholar]
- 41.Jang HH, et al. Two enzymes in one; two yeast peroxiredoxins display oxidative stress-dependent switching from a peroxidase to a molecular chaperone function. Cell. 2004;117:625–635. doi: 10.1016/j.cell.2004.05.002. [DOI] [PubMed] [Google Scholar]
- 42.Jang HH, et al. Phosphorylation and concomitant structural changes in human 2-Cys peroxiredoxin isotype I differentially regulate its peroxidase and molecular chaperone functions. FEBS Lett. 2006;580:351–355. doi: 10.1016/j.febslet.2005.12.030. [DOI] [PubMed] [Google Scholar]
- 43.Wen ST, Van, Etten RA. The PAG gene product, a stress-induced protein with antioxidant properties, is an Abl SH3-binding protein and a physiological inhibitor of c-Abl tyrosine kinase activity. Genes Dev. 1997;11:2456–2467. doi: 10.1101/gad.11.19.2456. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Mu ZM, Yin XY, Prochownik EV. Pag, a putative tumor suppressor, interacts with the Myc Box II domain of c-Myc and selectively alters its biological function and target gene expression. J. Biol. Chem. 2002;277:43175–43184. doi: 10.1074/jbc.M206066200. [DOI] [PubMed] [Google Scholar]
- 45.Jung H, Kim T, Chae HZ, Kim KT, Ha H. Regulation of macrophage migration inhibitory factor and thiol-specific antioxidant protein PAG by direct interaction. J. Biol. Chem. 2001;276:15504–15510. doi: 10.1074/jbc.M009620200. [DOI] [PubMed] [Google Scholar]
- 46.Wakabayashi N, et al. Keap1-null mutation leads to postnatal lethality due to constitutive Nrf2 activation. Nat. Genet. 2003;35:238–245. doi: 10.1038/ng1248. [DOI] [PubMed] [Google Scholar]
- 47.Kim TH, et al. NRF2 blockade suppresses colon tumor angiogenesis by inhibiting hypoxia-induced activation of HIF-1alpha. Cancer Res. 2011;71:2260–2275. doi: 10.1158/0008-5472.CAN-10-3007. [DOI] [PubMed] [Google Scholar]
- 48.Antunes F, Cadenas E. Cellular titration of apoptosis with steady state concentrations of H(2)O(2): submicromolar levels of H(2)O(2) induce apoptosis through Fenton chemistry independent of the cellular thiol state. Free Radic. Biol. Med. 2001;30:1008–1018. doi: 10.1016/s0891-5849(01)00493-2. [DOI] [PubMed] [Google Scholar]
- 49.de Oliveira-Marques V, Cyrne L, Marinho HS, Antunes F. A quantitative study of NF-kappaB activation by H2O2: relevance in inflammation and synergy with TNF-alpha. J. Immunol. 2007;178:3893–3902. doi: 10.4049/jimmunol.178.6.3893. [DOI] [PubMed] [Google Scholar]
- 50.Hellman LM, Fried MG. Electrophoretic mobility shift assay (EMSA) for detecting protein-nucleic acid interactions. Nat. Protoc. 2007;2:1849–1861. doi: 10.1038/nprot.2007.249. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Liu J, et al. An integrated TCGA pan-cancer clinical data resource to drive high-quality survival outcome analytics. Cell. 2018;173:400–416 e411. doi: 10.1016/j.cell.2018.02.052. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analyzed during the current study are available from the corresponding author, Dr. Xiaolei Zhou (email address: foxlei@live.cn), upon reasonable request, as described in the following figshare metadata record: 10.6084/m9.figshare.17088764. The full sequences of the newly constructed plasmids for this study are deposited in Addgene under the ID numbers listed in Supplementary Table 1.
No custom code was used to generate the data contained in this manuscript.