Abstract
Background: A metabolic “switch” from oxidative phosphorylation to glycolysis provides tumor cells with energy and biosynthetic substrates, thereby promoting tumorigenesis and malignant progression. However, the mechanisms controlling this metabolic switch in tumors is not entirely clear.
Methods: Clinical specimens were used to determine the effect of SAM68 on lung adenocarcinoma (LUAD) tumorigenesis and metastasis, and mouse models and molecular biology assays were performed to elucidate the function and underlying mechanisms in vitro and in vivo.
Results: SAM68 mRNA levels were higher in LUAD tissue than in normal lung tissue, indicating that SAM68 expression is upregulated in LUAD. Patients with LUAD with SAM68high (n = 257) had a higher frequency of tumor recurrence (p = 0.025) and recurrence-free survival (p = 0.013) than did those with SAM68low (n = 257). Patients with SAM68high mRNA levels (n = 257) were at a higher risk for cancer-related death (p = 0.006), and had shorter overall survival (p = 0.044) than did those with SAM68low. SAM68 promotes tumorigenesis and metastasis of LUAD cells in vitro and in vivo by regulating the cancer metabolic switch. SAM68 drives cancer metabolism by mediating alternative splicing of pyruvate kinase (PKM) pre-mRNAs, and promoting the formation of PKM2. Mechanistically, SAM68 increased the binding of the splicing repressor hnRNP A1 to exon 9 of PKM, thereby enhancing PKM2 isoform formation and PKM2-dependent aerobic glycolysis and tumorigenesis.
Conclusions: SAM68 promotes LUAD cell tumorigenesis and cancer metabolic programming via binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1, driving hnRNP A1-dependent PKM splicing, contributing to increased oncogene PKM2 isoform formation and inhibition of PKM1 isoform formation. SAM68 is therefore a promising therapeutic target for the treatment of LUAD.
Keywords: SAM68, alternative splicing, metabolism conversion, tumorigenesis, lung adenocarcinoma
Introduction
Lung adenocarcinoma (LUAD) is among the most common human malignancies, and its incidence worldwide continues to rapidly increase 1. Patients with early-stage LUAD have a good 5-year survival rate because they respond well to current treatments. However, the prognosis in patients with advanced disease remains poor owing to the high incidence of tumor recurrence and distant metastasis 2,3. There is therefore an urgent need to understand the underlying molecular mechanisms responsible for LUAD pathogenesis and to discover new prognostic biomarkers and therapeutic targets for LUAD.
KHDRBS1, or SRC-associated in mitosis, 68 kDa (SAM68), was originally identified as the first specific target of Src tyrosine kinase in mitosis 4-6. There is increasing evidence of the important role of SAM68 in alternative splicing. SAM68 modulates CD44 alternative splicing in response to mitoxantrone (MTX)-induced DNA damage 7. ERK phosphorylation of Sam68 enhances inclusion of the CD44 exon v5 sequence in mRNA 8. In addition, ERK1/2 signaling pathway phosphorylation of Sam68 regulates epithelial-mesenchymal transition (EMT) via modulation of SF2/ASF splicing 9. SAM68 binds Bcl-x mRNA and modulates its alternative splicing by interacting with hnRNPA1 10. Infection with dominant-negative SAM68 mutants with disrupted RNA-binding or impaired binding to the splicing repressor hnRNP A1 enhanced exon-7 inclusion in endogenous SMN2 and rescued SMN protein expression in fibroblasts of patients with SMA 11. Further, deletion of SAM68 in breast cancer cells led to cell-cycle arrest at the G1/S checkpoint, suggesting that SAM68 is a novel cell-cycle regulator 12. SAM68 is overexpressed in early-stage cervical cancer associated with lymph node metastasis 13. However, its role and molecular mechanisms in LUAD progression and metastasis remain unknown.
hnRNP A1 belongs to the hnRNP family, a large family of ubiquitously expressed heterogeneous nuclear ribonucleoproteins (hnRNPs) that regulate several aspects of nucleic acid metabolism, including pre-mRNA packing, alternative splicing, and transportation of poly(A) mRNA 14-16. hnRNP expression is altered in many types of cancers 17. hnRNP A1 regulates mitochondrial dynamics by post-transcriptional regulation of the oncogene Drp1 18, and is a potential marker for breast cancer progression 19; however, the molecular mechanism by which hnRNP A1 is upregulated in cancer remains unclear.
Cancer cells exhibit increased glucose consumption and lactate generation instead of mitochondrial oxidative phosphorylation independent of oxygen availability; this phenomenon is termed the Warburg effect or aerobic glycolysis 20. PKM1 and PKM2 are products of alternative splicing of the PKM gene (encoding the glycolytic enzyme pyruvate kinase), which is related to the metabolic phenotype of cancer cells 21. PKM2 expression has metabolic advantages in cancer cells and is a critical determinant of aerobic glycolysis, which is required for the rapid growth of cancer cells and tumorigenesis 22. The two PKM isoforms contain a mutually exclusive exon, reflecting the inclusion of either exon 9 (PKM1) or 10 (PKM2) 23. hnRNPA1, hnRNPA2, and PTBP1 bind to exon 9 (E9) to repress E9 in the PKM transcript, resulting in enhanced expression of the PKM2 isoform rather than the PKM1 isoform 23,24.
Here, we found that SAM68 was upregulated in LUAD tissues compared to adjacent non-tumor tissues. Patients with LUAD with high SAM68 levels had shorter survival times than did those with low SAM68 levels. SAM68 promotes metabolic reprogramming and tumorigenesis in cancer by stimulating hnRNP A1-dependent PKM splicing and subsequent PKM2 isoform formation by binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1. Our findings indicate that SAM68 promotes PKM2 isoform formation, aerobic glycolysis, and tumorigenesis in LUAD cells, and could show potential as a novel potential target for the treatment of LUAD.
Results
High SAM68 expression in patients with LUAD correlates with poor prognosis
To determine the role of SAM68 in LUAD, we studied SAM68 mRNA expression in normal lung and in LUAD tissues by using four microarray gene expression datasets from the Oncomine (https://www.oncomine.org), GEO (https://www.ncbi.nlm.nih.gov/geo/), and TCGA databases. SAM68 mRNA levels were higher in LUAD tissues than in normal lung tissues (Figure 1A-C), indicating that SAM68 expression is upregulated in LUAD.
To determine whether SAM68 influences the death and tumor recurrence rates, we analyzed the correlation between SAM68 mRNA levels and the tumor recurrence and death rates in a publicly accessible microarray dataset from 515 patients with LUAD in the TCGA database cohort (provisional), downloaded from cBioPortal (http://www.cbioportal.org). SAM68 mRNA level was set as a dichotomous variable, with SAM68low, defined as SAM68 expression levels in the lower 50% of the cohort (n = 257), compared with SAM68high, which was defined as SAM68 expression levels in the upper 50% of the cohort (n = 257). Chi-square and Kaplan-Meier survival analyses revealed that patients with LUAD with SAM68high (n = 257) had a higher frequency of tumor recurrence and recurrence-free survival than did LUAD patients with SAM68low (n = 257; Figure 1D-E). Moreover, patients with SAM68high mRNA levels (n = 257) were at higher risk for cancer-related death, and had shorter overall survival than did SAM68low patients (Figure 1F-G).
We also analyzed SAM68 protein and mRNA levels in six sets of primary LUAD tissue samples and matched adjacent nontumor tissues (N). All LUAD tissues had elevated SAM68 protein and mRNA levels compared to the corresponding N samples (Figure 1H-J). We also performed extensive microarray analysis of 50 LUAD and matched nontumor lung tissue (N) samples by using an immunohistochemical (IHC) assay (Figure 1K). The SAM68 protein level was higher in LUAD tissues than in N tissues (Figure 1L). Our findings indicate that SAM68 is significantly upregulated in LUAD cells, and patients with primary LUAD and SAM68high exhibit a poor prognosis, suggesting that SAM68 could be a useful prognostic marker and potential therapeutic target in patients with LUAD.
SAM68 promotes malignant phenotypes in LUAD cells in vitro and tumorigenesis and metastasis in vivo
To elucidate the effects of SAM68 on cancer cell growth, colony formation, migration, and invasion, SAM68 was overexpressed or silenced in LUAD cells (Figure 2A-C; see also Figure S1A-D). Cancer cell growth, colony formation, migration, and invasion significantly decreased when SAM68 was silenced (Figure 2D-F) and increased when SAM68 was ectopically expressed in the lung cancer cell lines NCI-H1975 and A549 (Figure S1E-G).
To determine the role of SAM68 in tumorigenesis in vivo, we generated a SAM68 knockout (KO) NCI-H1975 cell line by CRISPR-Cas9 technology (Figure 2G and Figure S2). As shown in Figure 2H, the in vivo growth of LUAD cell xenografts composed of SAM68 KO NCI-H1975 cells was clearly impaired. Furthermore, the lungs of mice injected with luciferase-tagged SAM68 KO NCI-H1975 cells developed metastatic nodules, whereas those with control NCI-H1975 cells did not (Figure 2I). Lung metastatic nodules were confirmed by histological analysis (Figure 2J). Kaplan-Meier survival analyses showed that mice with cancer xenografts carrying SAM68 KO NCI-H1975 cells were at a lower risk of cancer-related death than were mice with cancer xenografts carrying control NCI-H1975 cells (Figure 2K, p = 0.027, log-rank test). These data provided direct evidence that downregulation of SAM68 suppresses cancer cell growth, colony formation, migration, and invasion in vitro and tumorigenesis and metastasis in vivo.
SAM68 interacts with hnRNP A1
To further elucidate the mechanism by which SAM68 promotes cancer cell invasion and metastasis, coimmunoprecipitation (Co-IP) and mass spectrometry were performed to identify the proteins that interact with SAM68 (Figure 3A). We identified 39 proteins interacting with SAM68 (Table S2). Gene Ontology was used to characterize the functional roles of SAM68 and its interacting proteins. SAM68-interacting proteins were mainly enriched in RNA splicing (Figure 3B), suggesting that SAM68 could regulate cellular RNA splicing.
Among the 39 proteins that interacted with SAM68, hnRNP A1 had the highest protein score (Table S2). hnRNP A1 regulates the splicing of PKM mRNA, promoting the formation of PKM2. PKM2 is a key determinant of the metabolic phenotype in tumor cells that promotes aerobic glycolysis and provides favorable conditions for tumorigenesis. Therefore, we focused on the interaction between SAM68 and hnRNP A1. Unique peptides of SAM68 and hnRNP A1 were identified by mass spectrometry (Figure 3C-D). We further confirmed the interactions between SAM68 and hnRNP A1 by using co-IP with or without RNase A treatment (Figure 3E-F) and fluorescence co-localization (Figure 3G). We also confirmed that RNase A treatment did not affect coIP of the endogenous SAM68-hnRNP A1 complex (Figure S3A-B).
hnRNP A1 consists of two N-terminal RNA recognition motifs (RRM1 and RRM2), a C-terminal RNA-binding RGG box (RGG), and a nuclear targeting sequence (M9) 25 (Figure 3H). To dissect the hnRNP A1 domain required for interaction with SAM68, hnRNP A1 truncated fusion constructs with a C-terminal HA tag were constructed and co-expressed with the SAM68-Flag vector in HEK293T cells (Figure 4H). Only hnRNP A1 constructs containing the RGG motif bound to the SAM68, indicating that the RGG motif of hnRNP A1 is essential for SAM68 binding (Figures 3I-J).
The RGG box regulates the binding of proteins containing the RGG motif to RNA, and mediates the interaction of RGG motif proteins with other proteins 26,27. Glycine (G) residues are critical for binding because the interactions are charge-based 26,27. We therefore constructed an hnRNP A1 RAA mutant by changing the glycine residues (G) to alanine residues (A) in three RGGs in the RGG box of hnRNP A1. The mutation prevented the binding of SAM68 to hnRNP A1 (Figure 3K-L), indicating that the G residues in the RGG box of hnRNP A1 are essential for binding to SAM68. To determine which SAM68 domain binds to the RGG box of hnRNP A1, a truncated SAM68 fusion construct with a C-terminal Flag tag was constructed as described by Paronetto et al. 10. We confirmed that the 351-443 aa region of SAM68 interacted with hnRNP A1 (Figure 3M-N). Therefore, SAM68 interacts with hnRNP A1 via binding of the 351-443 aa region to the hnRNP A1 RGG motif.
SAM68 promotes hnRNP A1-stimulated LUAD cell growth
To determine the role of hnRNP A1 in LUAD, we studied hnRNP A1 mRNA expression in lung tissues and LUAD tissues by using four microarray gene expression datasets deposited in the Oncomine, GEO, and TCGA databases. The hnRNP A1 mRNA levels were higher in LUAD tissues than in normal tissues (Figure S4A-D), indicating that hnRNP A1 expression is upregulated in LUAD. Interestingly, SAM68 and hnRNP A1 were upregulated in multiple identical lung cancer gene expression datasets, which is in accordance with our previous results.
As expected, hnRNP A1silencing suppressed cell growth, colony formation, migration, and invasion in NCI-H1975 and A549 LUAD cells (Figures 4A-D), which is consistent with the cancer phenotypes induced by SAM68 knockdown.
To determine whether SAM68 promotes tumorigenesis through hnRNP A1, the SAM68-Flag vector and anti-hnRNP A1siRNA were co-transfected into NCI-H1975 and A549 LUAD cells (Figure 4E). hnRNP A1knockdown completely abolished the SAM68 overexpression-induced increases in cell proliferation, colony formation, migration, and invasion ability, suggesting that SAM68 promotes tumorigenesis through hnRNP A1 (Figure 4F-H). Collectively, our data indicate that SAM68 promotes tumorigenesis by binding to hnRNP A1.
SAM68 increases hnRNP A1 binding to the sequences flanking the PKM exon 9 by binding to the RGG box of hnRNP A1
To further study the mechanism underlying the effects of SAM68 on lung cancer tumorigenesis, we performed high-throughput RNA-seq of WT and SAM68-overexpressing NCI-H1975 cells.
By using a ∆PSI cutoff of 0.1 and FDR < 0.05, we identified 1398 SAM68-regulated AS events (Table S3 and GSE149120). Among different types of AS events, including alternative 3ʹ/5ʹ splice site (A3SS/A5SS), mutually exclusive exon (MXE), retained intron, and skipped exon, SAM68-overexpressing cells preferentially induced exon skipping (Figures 5A-B). Based on the FDR value, RPKM, and ∆PSI> 0.15, we selected FN1, ZNF621, ACADVL, OSBPL1A, and ANAPC11 to verify the reliability of the RNA-seq analysis. SAM68 regulates FN1, ZNF621, ACADVL, OSBPL1A, and ANAPC11 pre-mRNAs splicing (Figure S5A-K). Among the 1398 SAM68-regulated AS events, it is particularly interesting that SAM68 regulates pre-mRNA PKM splicing, ultimately promoting PKM2 formation while inhibiting PKM1 formation (Figure 5C). Further, hnRNP A1 represses the inclusion of the PKM flanking exon 9 by binding of the hnRNP A1 RGG box to the intronic UAGGGC sequences flanking exon 9, thereby inhibiting E9 inclusion and contributing to the formation of the PKM2 isoform 23,28. SAM68 did not alter the hnRNP A1 protein level (Figure S6). To test whether SAM68 and hnRNP A1 bind PKM pre-mRNA, we performed UV crosslink immunoprecipitation (CLIP) experiments. SAM68 and hnRNP A1 showed strong binding at exon 9 with PKM pre-mRNA, and weak binding to exon 10 (Figure 5D). Therefore, we speculated that SAM68 interacts with A1 to form a splicing complex to regulate PKM mRNA splicing.
To determine the effect of SAM68 on the ability of hnRNP A1 to bind to PKM E9, we performed RNA affinity chromatography by using 5ʹ biotin-labeled RNA corresponding to EI9 (50-68) containing the UAGGGC sequence EI9 (50-68) G3C (mutation of the G3 nucleotide to C in UAGGGC), as previously described 29. hnRNP A1 and SAM68 directly bound to the EI9 (50-68) sequence of PKM (Figure 5E). SAM68 expression markedly increased the binding ability of hnRNP A1 to the EI9 sequences of PKM, and the enhancement effects were dose-dependent (Figure 5F), suggesting that both proteins cooperate in the regulation of PKM splicing.
We then demonstrated that SAM68 expression enhanced binding of the hnRNP A1 RGG box to the EI9 sequence of PKM (Figure 5G). The hnRNP A1 RGG box binds to the EI9 sequence of PKM 25, which is consistent with our result of the hnRNP A1 RAA mutant not binding to the EI9 sequence of PKM (Figure 5H), indicating that the G residues in the RGG box of hnRNP A1 are essential for hnRNP A1 binding to the EI9 sequence of PKM. Moreover, SAM68 failed to promote binding of the mutant hnRNP A1 to the EI9 sequence of PKM (Figure 5I), suggesting that SAM68 increases the binding ability of hnRNP A1 to the EI9 sequence of PKM in a G-residue-dependent manner. Our results showed that SAM68 interacts with hnRNP A1 via the binding of the 351-443 aa region to the RGG motif of hnRNP A1 (Figure 3M-N). SAM68 did not induce hnRNP A1 binding to the EI9 sequence of PKM when the 351-443 aa region of SAM68 was mutated (Figure 5J). Collectively, our data suggest that SAM68 increases hnRNP A1 binding to the sequences flanking PKM exon 9 by binding of the 351-443 aa region of SAM68 to the RGG box of hnRNP A1.
SAM68 drives hnRNP A1-dependent PKM splicing and PKM2 isoform formation
hnRNP A1 represses the inclusion of PKM E9 by binding to the E19 sequence of PKM, promoting PKM2 isoform formation 29. Our data indicate that SAM68 promotes the binding of hnRNP A1 to EI9 of the PKM gene. Thus, we analyzed the effect of SAM68 on PKM splicing by RT-PCR and restriction digestion to assess the PKM1 and PKM2 levels, as previously described 30. SAM68 overexpression increased the PKM2 mRNA and protein levels and decreased PKM1 mRNA and protein levels (Figure 6A and Figure 5D), and SAM68 knockdown or knockout exhibited the opposite effect (Figure 6B-C).
To further determine whether SAM68 promotes the stimulatory effects of hnRNP A1 on PKM2 formation, we co-transfected NCI-H1975 cells with SAM68-Flag and anti-hnRNP A1. The SAM68 overexpression-induced enhancement of the PKM2 isoform and reduction of the PKM1 isoform were completely attenuated by hnRNP A1 silencing (Figure 6D), suggesting that SAM68-mediated PKM2 isoform formation and inhibition of PKM1 isoform formation is hnRNP A1-dependent.
We then studied PKM1 isoform and PKM2 isoform expression in tissue samples with high or low SAM68 expression (Figure 6E). The PKM2/PKM1 ratio was significantly higher in tissue samples with high SAM68 expression than in those with low SAM68 expression (Figure 6F). We also analyzed the PKM1 and PKM2 mRNA levels in six pairs of matched fresh normal and high SAM68 expression LUAD tissues, and found higher PKM2 mRNA levels and lower PKM1 mRNA levels in LUAD tissues compared to those in normal tissues (Figure S7A). The PKM2 and PKM1 mRNA levels were positively (R = 0.671, p = 0.0011) and negatively (R = -0.699, p = 0.0007) correlated, respectively, with SAM68 protein levels in LUAD tissue samples (Figure S7B). Thus, our results indicate that SAM68 drives hnRNP A1-dependent PKM splicing and PKM2 isoform formation.
SAM68 promotes tumorigenesis via PKM2
Considering that SAM68 drives hnRNP A1-dependent PKM splicing and PKM2 formation, we then determined whether SAM68 stimulates LUAD cell tumorigenesis through PKM2. SAM68-Flag vector and anti-PKM2 siRNAs were co-transfected into NCI-H1975 and A549 LUAD cells (Figure S8A). SAM68 overexpression-induced enhancement in cell proliferation, colony formation, and migration, and invasion was completely attenuated by PKM2 silencing (Figure S8B-D). Therefore, SAM68 stimulates LUAD cell tumorigenesis mainly through PKM2.
SAM68 promotes hnRNP A1-dependent aerobic glycolysis
PKM2 plays a key role in the determination of aerobic glycolysis or the Warburg effect with increased glucose uptake and lactate production 21,22. To determine whether SAM68, which decreases PKM1 isoform and increases PKM2 isoform levels, is sufficient to drive cancer metabolic reprogramming, we measured glucose uptake and lactate production in NCI-H1975 LUAD cells. SAM68 increased the glucose uptake and lactate production (Figure 6G-H), and SAM68 silencing decreased glucose uptake and lactate production (Figure 6I-J) in cancer cells, suggesting that SAM68 promoted aerobic glycolysis. Further, hnRNP A1 knockdown decreased cell glucose uptake and lactate production (Figure 6K-L), which is consistent with the effects of SAM68 knockdown. SAM68 overexpression enhanced glucose uptake and lactate production, which were completely blocked by hnRNP A1 silencing (Figure 6M-N). As expected, PKM2 knockdown decreased glucose uptake and lactate production (lanes 1 and 2 in Figure 6O-P). The SAM68-induced increase in glucose uptake and lactate production were completely attenuated by PKM2 silencing (Figure 6O-P). These results suggested that SAM68 promotes aerobic glycolysis in LUAD cells by inducing hnRNP A1-dependent PKM splicing and PKM2 isoform formation.
SAM68 promotes PKM splicing and tumorigenesis by binding to hnRNP A1
SAM68 increases binding of the hnRNP A1 RGG box to PKM exon 9, inducing PKM2 isoform formation via binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1. We therefore determined whether SAM68-mediated tumorigenesis, PKM splicing, and aerobic glycolysis is hnRNP A1 binding-dependent. Expression of wild-type (WT) SAM68 or binding-defective SAM68Δ351-443 mutant was restored in SAM68 knockout cells (Figure 7A). SAM68 silencing caused a significant decrease in cell growth, colony formation, migration, and invasion, which could all be restored to the control levels after supplementing with WT SAM68 but not with hnRNP A1 binding-defective SAM68 Δ351-443 mutant (Figure 7B-E and 7G-H). Furthermore, SAM68 Δ351-443 mutant did not induce the inclusion of PKM exon 9 to promote PKM2 isoform formation (Figure 7F). Thus, SAM68 promotes tumorigenesis, PKM splicing, and aerobic glycolysis mainly via its interaction with hnRNP A1.
Discussion
SAM68 was previously identified as the first specific target of the Src tyrosine kinase in mitosis 4,5. We demonstrated that human SAM68 expression is significantly higher in LUAD tissues than in adjacent non-tumor lung tissues. SAM68 mRNA levels were higher in LUAD tissues than in normal lung tissues in TCGA datasets deposited in the Oncomine database, indicating that SAM68 upregulation in LUAD is induced at the transcriptional level. SAM68 upregulation was significantly associated with aggressive LUAD phenotypes, and LUAD patients with SAM68high exhibited higher death rates and shorter survival times than did LUAD patients with SAM68low. Our data suggest that SAM68 could be a novel independent prognostic factor in patients with LUAD. Downregulation of SAM68 significantly inhibited malignant LUAD phenotypes in vitro and tumorigenesis and metastasis in vivo, suggesting that SAM68 could also find application as a novel therapeutic target for LUAD.
SAM68 promotes aerobic glycolysis by regulating PKM2 alternative splicing in colorectal cancer 31. In this study, we observed SAM68-mediated regulation of PKM alternative splicing and metabolic reprogramming in LUAD. Thus, SAM68 likely regulates PKM splicing-mediated reprogramming in many tumor types. SAM68 mRNA and protein levels were higher in primary LUAD tissues than in corresponding nontumor tissues, and SAM68 could serve as an independent prognostic factor in patients with LUAD. We found that SAM68 promotes tumorigenesis, and elucidated the novel mechanism underlying the effect of SAM68 on cancer progression. Binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1 could increase hnRNP A1 binding to exon 9 to repress E9 in the PKM transcript, contributing to increased PKM2 formation and decreased PKM1 formation. Previous studies have shown that the C-terminal region of SAM68 (351-443) interacts with hnRNPA1, collectively regulating the alternative splicing of Bcl-x in HEK293 cells 10. In addition, the C-terminal region of SAM68 (351-443) interacts with hnRNPA1, collectively regulating SMN2 exon-7 skipping in SMA cells 11. The mechanism of splicing regulation by SAM68 and hnRNPA1 proposed in these studies is very similar to that indicated by our results. However, we confirmed for the first time that SAM68 interacts with the hnRNPA1 RGG box.
HnRNPA1, hnRNPA2/B1, and PTBP1 regulate PKM splicing, enhancing the expression of the PKM2 isoform and suppressing that of the PKM1 isoform 23,24. We determined that hnRNPA1 and hnRNPA2/B1 interact with SAM68. We used overexpression of hnRNPA1 or hnRNPA2/B1 in SAM68-KO LUAD cells to determine the effect of SAM68 on hnRNPA1 and hnRNPA2/B1-dependent regulation of PKM splicing. The hnRNPA1 overexpression-induced increase in PKM2/PKM1 ratio was completely attenuated by SAM68 depletion (Figure S9). However, SAM68 expression deficiency did not completely attenuate hnRNPA2/B1 overexpression-induced increase of PKM2/PKM1 ratio (Figure S9). HnRNPA2/B1, an m6A reader, has a key role in RNA processing via m6A modification of pre-mRNA or pre-miRNA 32,33. We speculate that hnRNPA2/B1 acts as a splicing regulator, and may also regulate PKM splicing via other pathways, such as m6A modification.
SAM68 promotes tumorigenesis by regulating NF-κB pathway-dependent anti-apoptotic transcription and AKT/GSK-3β/Snail pathway-dependent epithelial-mesenchymal transition in colon and cervical cancers, respectively 13,34. In this study, we determined the role of SAM68 in LUAD, and elucidated a novel mechanism by which SAM68 mediates LUAD invasion and metastasis. Our data showed that SAM68 promotes metastasis and invasion in LUAD by interacting with hnRNP A1. SAM68 increases the binding of hnRNP A1 to exon 9 of the PKM gene to repress E9 in the PKM transcript by binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1, thereby promoting PKM2 formation and inhibiting PKM1 formation, consequently promoting cancer metastasis and invasion. AKT2 increased PKM2 mRNA levels in ovarian cancer cells 35. SAM68 functions in conjunction with the oncogene metadherin to regulate alternative splicing of proteins involved in prostate cancer progression 36. These results are similar to our findings that SAM68 operates in conjunction with hnRNP A1 to regulate PKM alternative splicing. In this study, we discovered a novel mechanism by which a SAM68-mediated increase in PKM2 drives hnRNP A1-dependent PKM splicing. PKM2 expression mediates metabolic advantages in cancer cells and is a critical determinant of aerobic glycolysis 22. To our knowledge, this is the first study to report that SAM68 promotes aerobic glycolysis in an hnRNP A1-dependent manner.
Conclusions
In summary, we found that SAM68 promotes LUAD cell tumorigenesis and cancer metabolic programming by binding of the 351-443 aa region of SAM68 to the RGG motif of hnRNP A1, driving hnRNP A1-dependent PKM splicing, contributing to increased PKM2 isoform formation and inhibition of PKM1 isoform formation. SAM68 mRNA and protein levels were upregulated in primary LUAD cancer tissues. LUAD patients with SAM68high exhibited higher death rates and shorter survival times than LUAD patients with SAM68low. Our findings indicate that SAM68 may be a new independent prognostic factor and potential therapeutic target for patients with LUAD.
Materials and Methods
Cells and cell cultures
NCI-H1975 cells (ATCC) and A549 cells (ATCC) were cultured in RPMI 1640 (Gibco, C11875500BT), and Human HEK293T cells (ATCC) were cultured in DMEM (Gibco, 11995065). All cells were supplemented with 10% FBS (Gibco, 10270106) and 1% penicillin and streptomycin (Thermo Fisher Scientific, 15140122), and cultured at 37 °C with 5% CO2.
Patients, tissue samples and immunohistochemistry
LUAD tissues and paired adjacent normal lung tissues were collected from LUAD patients at the Sixth Affiliated Hospital of Guangzhou Medical University. These samples did not receive any preoperative anti-cancer treatment and had definite pathological diagnosis. Tissue microarray chips containing 50 LUAD tissue samples and 50 paired adjacent normal lung tissue were purchased from Alenabio (Xi'an, China). Immunohistochemistry assays were performed as previously described 25. In short, after dewaxing, the tissue microarray chip was treated with 3% hydrogen peroxide in methanol and blocked with a standard labeled streptavidin biotin kit (DAKO, Germany), incubated overnight with SAM68 polyclonal antibody (proteintech, 10222-1-AP, 1:100) in a moist chamber at 4 °C. Next day, after incubated with biotinylated goat anti-rabbit antibody for 1 h, the tissue microarray chip was stained with DAKO liquid 3,3'-diaminobenzidine tetrahydrochloride (DAB). According to the staining intensity (no staining, 0; mild staining, 1; moderate staining, 2; and severe staining, 3) and the number of positive cells (≤ 10% positive cells, 0; 10-30% positive cells, 1;31-50% positive cells, 2; 51-80% positive cells, 3; and >80% positive cells, 4), each specimen was scored. The final score for each case is the sum of the score for the percentage of positive cells and the score for staining intensity.
Western blotting
Tissue samples or Cells samples were lysed using SDS lysis buffer (beyotime, P0013G). All samples were separated on 10-15% SDS PAGE and polyvinylidene fluoride (PVDF) membrane. After incubated using blocking buffer (6% skim milk in PBS with 0.1% Tween 20), the blots were incubated with primary antibodies. After washing three times with 0.1% PBST (PBS with 0.1% Tween 20), the blots were incubated with a horseradish peroxidase-conjugated (HRP) secondary antibody and detected with Supersignal West Pico (Thermo Fisher Scientific, 34080). The primary and Secondary antibodies used in our study are listed in the Table S1.
RT-PCR and qRT-PCR
The total RNA of tissue samples and cells samples was obtained using the TRIzol lysis buffer (Invitrogen, 10296010). cDNA was obtained using a PrimeScriptTM RT reagent kit with gDNA Eraser (TaKaRa, RR037A). The SYBR Premix Ex Taq™ II kit was used to conduct qRT-PCR. The agarose gel electrophoresis with polymerase Chain reaction was used to conduct RT-PCR. The primers used in this study are shown in the Table S1.
Plasmid constructs and transfection
The SAM68-Flag or hnRNP A1-HA fusion protein constructs was cloned into the pcDNA3.1(+) vector by Clon Express MultiS One Step Cloning Kit (Vazyme, C113-01) according to the manufacturer's protocol. The mutants of hnRNP A1-HA (hnRNP A1mut1~4-HA and hnRNP A1RAAmut-HA) were produced by Mut Express II Fast Mutagenesis Kit V2 (vazyme, C214). The primers of plasmid constructs are shown in the Table S1. Plasmid constructs were transfected into cells with Lipofectamine™ 2000 Transfection Reagent (Invitrogen, 11668027). SiRNA against SAM68, hnRNP A1 or PKM2 were produced in GenePharma. The siRNAs were transfected into cells with Lipofectamine RNA iMAX (Invitrogen, 13778075). The siRNAs used in this study are shown in the Table S1.
SAM68 KO cell lines by CRISPR-Cas9
The gRNA sequences of knocking out (KO) SAM68 were designed using the SYNTHEGO online tool (https://design.synthego.com), are shown in the Table S1. Human NCI-H1975 cells were transiently transfected with a constructed pSpCas9(BB)-2A-GFP plasmids (Addgene, #48138) containing SAM68 sgRNAs using Lipofectamine™ 2000 Transfection Reagent (Invitrogen, 11668027). After transfection for 48h, single cells were planted into 96-well plates. After four weeks, independent clones were harvested and was tested by Western blotting with anti-SAM68 antibodies. In addition, gDNA of independent clones were extracted and tested by RT-PCR. The primers are shown in the Table S1.
Immunofluorescence assay
The constructed plasmid or indicated siRNAs were transfected into LUAD cells for 24h. LUAD Cells were plated on coverslips for 24h. After fixed with 4% paraformaldehyde for 20 min at room temperature, Cells were permeabilizated using 0.1% Triton X-100 for 7 min. Next, after blocked with 2% BSA in PBS for 2h, Cells were incubated with primary antibody overnight at 4 °C (1:500 for SAM68 and hnRNP A1). After 3 times wash with 0.1% PBST, secondary goat anti-rabbit cy3 (beyotime, A0428, 1:500 dilution) or goat anti-mouse AlexaFluor 488 (beyotime, A0502, 1:500 dilution) were added for 2 h incubation. After 3 times wash with 0.1% PBST, coverslips were stained with DAPI (beyotime, C1005).
Cell growth and colony formation assay
The constructed plasmid or indicated siRNAs were transfected into LUAD cells for 36h. For cell growth, NCI-H1975 cells and A549 cells were seeded in 24-well plates at 10000 cells/well. The cell number in each treatment group was counted at 24, 48, 72, 96, and 120 h. For colony formation, 400 NCI-H1975 cells and A549 cells were seeded in 6-well plates and cultured for 7 days. After fixed with anhydrous methanol, the plates were stained using 1% crystal violet solution.
Migration and invasion assays
The migration and invasion assays in vitro were performed using Transwell chambers (Becton, 353504). The constructed plasmid or indicated siRNAs were transfected into LUAD cells for 48h. For migration assays, 5 × 104 NCI-H1975 cells and A549 cells in 200 μl starvation media were seeded into the top chambers of transwell chamber and cultured for 18h, while RPMI 1640 culture media with 10% FBS was applied on the bottom. For invasion assays, the upper transwell chambers were coated with matrigel (Corning, 356234). 1 × 105 NCI-H1975 cells and A549 cells in 200 μl starvation media were seeded into the upper transwell chambers and cultured for 36h, while RPMI 1640 culture media with 10% FBS was applied on the bottom. After fixed with anhydrous methanol, migrated and invaded cells were stained with 1% crystal violet, captured and counted under a 10× microscope.
Animal breeding and treatments
Four-week-old female BALB/c mice were purchased from Guangdong Medical Laboratory Animal Center (Foshan, China). Four-week-old female NOD/SCID mice were purchased from Charles River Laboratories (Beijing, China). All mice were housed in laminar flow cabinets under specific pathogen-free (SPF) conditions. The animal experiments were approved by the Laboratory Animal Ethics Committee of the Sixth Affiliate Hospital of Guangzhou Medical University. For tumor growth assay in vivo, a total of 6 × 106 NCI-H1975-NC and NCI-H1975-SAM68-KO cells were subcutaneously injected into Left and right armpits of forelimbs in BALB/c mice, respectively (n = 6). After 4 weeks, the mice were killed by suffocation with carbon dioxide, and the tumors were dissected and weighed. For lung metastasis assay, 1 × 106 NCI-H1975-luc-NC and NCI-H1975-SAM68-KO cells were injected into NOD/SCID mice through the tail vein. After implantation for 10 weeks, the metastatic foci in the lungs were was quantified by D-luciferin injection and IVIS spectrum imaging (PerkinElmer).
Co-immunoprecipitation and mass spectrometry
Cells grown at 70-80% confluency were transfected with the indicated plasmid for 48h. Cells were lysed in IP lysis buffer (beyotime, P0013) adding 1x phosphatase inhibitor cocktail (Sigma-Aldrich & Roche). After lysed on ice for 30 min, lysates were separated by centrifuge at 13,000 rpm for 10 min, 4 °C. Pierce™ BCA protein assay kit (thermofisher, 23227) were used to quantify the protein concentrations. Equal amounts of proteins were immunoprecipitated with indicated antibody for 12h. After 12h, proteins were incubated with Protein A/G PLUS-Agarose (Santa cruz, sc-2003) for 4h. After washed 3 times with ice-cold PBS, proteins were eluded with using SDS lysis buffer (beyotime, P0013G). The samples were separated by 10% SDS PAGE gel. The gel was stained using the Fast Silver Stain Kit (beyotime, P0017S) according to the manufacturer's protocol. Differential protein bands were detected by nano-LC-MS/MS (AB SCIEX TripleTOF 5600, USA). Proteins were identified by the Mascot program against the Uniprot human protein database.
RNA-seq and analysis
Three biological replicates for SAM68 Over-expression or control cells were harvested in 1 ml TRIzol. RNAs were extracted using the TRIzol Reagent kit from Invitrogen. All samples were sequenced by Illumina Novaseq6000 of Novogene Company (Beijing, China) with a paired-end 150 bp read length. Data filtering was performed with the following protocol: (1) remove reads with adaptor sequences; (2) remove reads in which the percentage of unknown bases (N) is more than 10%; (3) remove low quality reads in which the base with a quality value ≤ 5 is more than 50% in a read. Fastp (default parameters) was used for assessed RNA-seq reads quality and remove potentially remained adaptor sequences or poor quality reads 37. First 18 bases of the reads are trimmed due to GC bias on the head of reads. After quality control, clean reads were mapped to GRCh38 human reference (ftp://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/001/405/GCA_000001405.15_GRCh38/seqs_for_alignment_pipelines.ucsc_ids/GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz) sequence by using hisat2 (hisat2 -p 10 --dta -x GCA_000001405.15_GRCh38_no_alt_analysis_set -1 sample.1.fastq.gz -2 sample.2.fastq.gz | samtools sort -@ 10 -o sample.bam) 38,39. Alternative splicing events were analyzed using the rMATS program on hisat2 output bam file 40. Alternative splicing events plots are generated by rmats2sashimiplot (https://github.com/Xinglab/rmats2sashimiplot). RNA-seq data in this study have been deposited into the GEO database (https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE149120).
UV-crosslinking immunoprecipitation
According to results of previous studies, the CLIP analysis was performed 41,42. After irradiated on ice (100 mJ/cm2), treated cells were lysed using lysis buffer (50 mM Tris, pH 8.0, 100 mM NaCl, 1 mM MgCl2, 0.5 mM Na3VO4, 0.1 mM CaCl2, 1% NP-40, 1 mM DTT, RNase inhibitor (Takara, 2313A), and protease inhibitor cocktail (Roche, 5892970001). Next, after briefly sonicated on ice, cell lysis samples were incubated with DNase (Ambion, AM2222) at 37 °C for 10 min and then centrifuged at 13 000g at 4 °C for 5 min. After diluted to 1 ml with lysis buffer, 1 mg of supernatant extract was incubated with rabbit anti-SAM68, mouse anti-hnRNP A1 or IgGs (negative control) for immunoprecipitation in the presence of protein A/G PLUS-Agarose (Santa cruz; sc-2003). Next, 1 mg of supernatant extract was incubated with 1000 IU RNase I (Ambion, AM2294) and rotated at 4 °C for 2 h. After stringent washes, an aliquot (10%) was used to keep as a control of immunoprecipitation, while the rest was incubated with proteinase K (Invitrogen, AM2546) at 55 °C for 30 min. The RNA was purified by TRIzol method, reversely transcripted and detected by q-PCR.
RT-PCR and PKM splicing assays
As previously described 23, PKM splicing assays were conducted. The total RNA of tissue samples and cells samples was obtained using the TRIzol lysis buffer (Invitrogen, 10296010). cDNA was obtained using a PrimeScriptTM RT reagent kit with gDNA Eraser (TaKaRa, RR037A). The PCR products of PKM were digested with PstI endonuclease (New England Biolabs, R0140S) and were resolved by 8% non-denaturing PAGE. The primers of PKM are shown in the Table S1.
RNA affinity purification
As previously described 43, the RNA affinity purification was performed. The 5'biotin-labeled PKM EI9 RNAs were synthesized by Genscript company (Nanjing, China) according to Chen et al.'s research 29. 1 nmol biotin-labeled RNAs was bound with 50 μl Streptavidin-Agarose beads (Sigma, GE17-5113-01) to prepare RNA-immobilized beads. Furthermore, cells grown at 70-80% confluency were transfected with the indicated plasmid for 48h. Cells were lysed in IP lysis buffer (beyotime, P0013) adding 1× phosphatase inhibitor cocktail (Sigma-Aldrich & Roche). Nuclear pellets were collected with Nuclear and Cytoplasmic Protein Extraction Kit, and lysed by sonication. Nuclear lysates were incubated with RNA-immobilized beads at 30 °C for 30 min while rotating. After protein and RNA binding, proteins were eluded with using SDS lysis buffer (beyotime, P0013G). The samples were detected by Western blotting.
Measurement of glucose uptake and lactate production
The constructed plasmid or indicated siRNAs were transfected into LUAD cells for 48h. The glucose concentration in cultured media was detected using Glucose Colorimetric Assay kit (BioVision, K606-100) following the manufacturer's instructions. The lactate production in cultured media was measured using the Lactate Colorimetric Assay kit II (BioVision, K627-100) following the manufacturer's instructions.
Statistics
Data was reported as mean ± SD from three independent experiments. Data was analyzed by two-tailed Student's t-test between two groups. Kaplan-Meier curve with the log-rank test was applied to perform the survival analysis. Graph Pad Prism 5.0 software was used to statistical analysis. NS, no significant, *p < 0.05, **p < 0.01, ***p < 0.001.
Acknowledgments
This work was supported by the National Natural Science Foundation of China (grant no. 82002920), the Guangzhou Education Bureau University Scientific Research Project (grant no. 202032825), the Medical Science and Technology Research Foundation of Guangdong Province (grant no. B2018217).
Ethics approval and consent to participate
The collection of these tissue samples was approved by the Internal Review and Ethics Boards at the Sixth Affiliated Hospital of Guangzhou Medical University. Informed consent was obtained from each patient.
The mice used in these experiments were bred and maintained under defined conditions at the Animal Experiment Center of the Sixth Affiliate Hospital of Guangzhou Medical University (SPF grade). The animal experiments were approved by the Laboratory Animal Ethics Committee of the Sixth Affiliated Hospital of Guangzhou Medicine University and Jinan University and conformed to the legal mandates and national guidelines for the care and maintenance of laboratory animals.
Author contributions
DBT, SZ, LQ conceived the project, designed the experiments and wrote the paper; SZ, WPC, and JZW conducted the in vitro and in vivo experiments; SZ, HLP, ZFF, and WPC collected patient samples; SZ performed IHC analysis; SZ and JZW provided the statistical analysis.
Abbreviations
- SAM68
SRC-associated in mitosis, 68 kDa
- LUAD
lung adenocarcinoma
- PKM
pyruvate kinase
- hnRNPs
heterogeneous nuclear ribonucleoproteins
- siRNAs
small interfering RNAs
- qRT-PCR
quantitative reverse transcription-PCR
- GEO
Gene expression omnibus
Supplementary Material
References
- 1.Zappa C, Mousa SA. Non-small cell lung cancer: current treatment and future advances. Transl Lung Cancer Res. 2016;5:288–300. doi: 10.21037/tlcr.2016.06.07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69:7–34. doi: 10.3322/caac.21551. [DOI] [PubMed] [Google Scholar]
- 3.Zhang N, Liang R, Gensheimer MF, Guo M, Zhu H, Yu J. et al. Early response evaluation using primary tumor and nodal imaging features to predict progression-free survival of locally advanced non-small cell lung cancer. Theranostics. 2020;10:11707–18. doi: 10.7150/thno.50565. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Fumagalli S, Totty NF, Hsuan JJ, Courtneidge SA. A target for Src in mitosis. Nature. 1994;368:871–4. doi: 10.1038/368871a0. [DOI] [PubMed] [Google Scholar]
- 5.Taylor SJ, Shalloway D. An RNA-binding protein associated with Src through its SH2 and SH3 domains in mitosis. Nature. 1994;368:867–71. doi: 10.1038/368867a0. [DOI] [PubMed] [Google Scholar]
- 6.Bielli P, Busà R, Paronetto MP, Sette C. The RNA-binding protein Sam68 is a multifunctional player in human cancer. Endocr Relat Cancer. 2011;18:R91–102. doi: 10.1530/ERC-11-0041. [DOI] [PubMed] [Google Scholar]
- 7.Busà R, Geremia R, Sette C. Genotoxic stress causes the accumulation of the splicing regulator Sam68 in nuclear foci of transcriptionally active chromatin. Nucleic Acids Res. 2010;38:3005–18. doi: 10.1093/nar/gkq004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Matter N, Herrlich P, König H. Signal-dependent regulation of splicing via phosphorylation of Sam68. Nature. 2002;420:691–5. doi: 10.1038/nature01153. [DOI] [PubMed] [Google Scholar]
- 9.Valacca C, Bonomi S, Buratti E, Pedrotti S, Baralle FE, Sette C. et al. Sam68 regulates EMT through alternative splicing-activated nonsense-mediated mRNA decay of the SF2/ASF proto-oncogene. J Cell Biol. 2010;191:87–99. doi: 10.1083/jcb.201001073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Paronetto MP, Achsel T, Massiello A, Chalfant CE, Sette C. The RNA-binding protein Sam68 modulates the alternative splicing of Bcl-x. J Cell Biol. 2007;176:929–39. doi: 10.1083/jcb.200701005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Pedrotti S, Bielli P, Paronetto MP, Ciccosanti F, Fimia GM, Stamm S. et al. The splicing regulator Sam68 binds to a novel exonic splicing silencer and functions in SMN2 alternative splicing in spinal muscular atrophy. Embo J. 2010;29:1235–47. doi: 10.1038/emboj.2010.19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Song L, Wang L, Li Y, Xiong H, Wu J, Li J. et al. Sam68 up-regulation correlates with, and its down-regulation inhibits, proliferation and tumourigenicity of breast cancer cells. J Pathol. 2010;222:227–37. doi: 10.1002/path.2751. [DOI] [PubMed] [Google Scholar]
- 13.Li Z, Yu CP, Zhong Y, Liu TJ, Huang QD, Zhao XH. et al. Sam68 expression and cytoplasmic localization is correlated with lymph node metastasis as well as prognosis in patients with early-stage cervical cancer. Ann Oncol. 2012;23:638–46. doi: 10.1093/annonc/mdr290. [DOI] [PubMed] [Google Scholar]
- 14.Mascarenhas JB, Tchourbanov AY, Danilov SM, Zhou T, Wang T, Garcia J. The Splicing Factor hnRNPA1 Regulates Alternate Splicing of the MYLK Gene. Am J Respir Cell Mol Biol. 2018;58:604–13. doi: 10.1165/rcmb.2017-0141OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Michael WM, Choi M, Dreyfuss G. A nuclear export signal in hnRNP A1: a signal-mediated, temperature-dependent nuclear protein export pathway. Cell. 1995;83:415–22. doi: 10.1016/0092-8674(95)90119-1. [DOI] [PubMed] [Google Scholar]
- 16.Gao X, Wan Z, Wei M, Dong Y, Zhao Y, Chen X. et al. Chronic myelogenous leukemia cells remodel the bone marrow niche via exosome-mediated transfer of miR-320. Theranostics. 2019;9:5642–56. doi: 10.7150/thno.34813. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Geuens T, Bouhy D, Timmerman V. The hnRNP family: insights into their role in health and disease. Hum Genet. 2016;135:851–67. doi: 10.1007/s00439-016-1683-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Park SJ, Lee H, Jo DS, Jo YK, Shin JH, Kim HB. et al. Heterogeneous nuclear ribonucleoprotein A1 post-transcriptionally regulates Drp1 expression in neuroblastoma cells. BBA-gene Regul Mech. 2015;1849:1423–31. doi: 10.1016/j.bbagrm.2015.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Jean-Philippe J, Paz S, Caputi M. hnRNP A1: the Swiss army knife of gene expression. Int J Mol Sci. 2013;14:18999–9024. doi: 10.3390/ijms140918999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Koppenol WH, Bounds PL, Dang CV. Otto Warburg's contributions to current concepts of cancer metabolism. Nat Rev Cancer. 2011;11:325–37. doi: 10.1038/nrc3038. [DOI] [PubMed] [Google Scholar]
- 21.Israelsen WJ, Vander HM. Pyruvate kinase: Function, regulation and role in cancer. Semin Cell Dev Biol. 2015;43:43–51. doi: 10.1016/j.semcdb.2015.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Christofk HR, Vander HM, Harris MH, Ramanathan A, Gerszten RE, Wei R. et al. The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth. Nature. 2008;452:230–3. doi: 10.1038/nature06734. [DOI] [PubMed] [Google Scholar]
- 23.David CJ, Chen M, Assanah M, Canoll P, Manley JL. HnRNP proteins controlled by c-Myc deregulate pyruvate kinase mRNA splicing in cancer. Nature. 2010;463:364–8. doi: 10.1038/nature08697. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Calabretta S, Bielli P, Passacantilli I, Pilozzi E, Fendrich V, Capurso G. et al. Modulation of PKM alternative splicing by PTBP1 promotes gemcitabine resistance in pancreatic cancer cells. Oncogene. 2016;35:2031–9. doi: 10.1038/onc.2015.270. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Huang JZ, Chen M. et al. A Peptide Encoded by a Putative lncRNA HOXB-AS3 Suppresses Colon Cancer Growth. Mol Cell. 2017;68:171–84. doi: 10.1016/j.molcel.2017.09.015. [DOI] [PubMed] [Google Scholar]
- 26.Thandapani P, O'Connor TR, Bailey TL, Richard S. Defining the RGG/RG Motif. Mol Cell. 2013;50:613–23. doi: 10.1016/j.molcel.2013.05.021. [DOI] [PubMed] [Google Scholar]
- 27.Chong PA, Vernon RM, Forman-Kay JD. RGG/RG Motif Regions in RNA Binding and Phase Separation. J Mol Biol. 2018;430:4650–65. doi: 10.1016/j.jmb.2018.06.014. [DOI] [PubMed] [Google Scholar]
- 28.Chen M, Zhang J, Manley JL. Turning on a fuel switch of cancer: hnRNP proteins regulate alternative splicing of pyruvate kinase mRNA. Cancer Res. 2010;70:8977–80. doi: 10.1158/0008-5472.CAN-10-2513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Chen M, David CJ, Manley JL. Concentration-dependent control of pyruvate kinase M mutually exclusive splicing by hnRNP proteins. Nat Struct Mol Biol. 2012;19:346–54. doi: 10.1038/nsmb.2219. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Clower CV, Chatterjee D, Wang Z, Cantley LC, Vander HM, Krainer AR. The alternative splicing repressors hnRNP A1/A2 and PTB influence pyruvate kinase isoform expression and cell metabolism. Proc Nat Acad Sci U S A. 2010;107:1894–9. doi: 10.1073/pnas.0914845107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Zhao J, Li J, Hassan W, Xu D, Wang X, Huang Z. Sam68 promotes aerobic glycolysis in colorectal cancer by regulating PKM2 alternative splicing. Ann Transl Med. 2020;8:459. doi: 10.21037/atm.2020.03.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Alarcón CR, Goodarzi H, Lee H, Liu X, Tavazoie S, Tavazoie SF. HNRNPA2B1 Is a Mediator of m(6)A-Dependent Nuclear RNA Processing Events. Cell. 2015;162:1299–308. doi: 10.1016/j.cell.2015.08.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kwon J, Jo YJ, Namgoong S, Kim NH. Functional roles of hnRNPA2/B1 regulated by METTL3 in mammalian embryonic development. Sci Rep. 2019;9:8640. doi: 10.1038/s41598-019-44714-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Fu K, Sun X, Wier EM, Hodgson A, Liu Y, Sears CL. et al. Sam68/KHDRBS1 is critical for colon tumorigenesis by regulating genotoxic stress-induced NF-κB activation. Elife. 2016;5:e15018. doi: 10.7554/eLife.15018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zheng B, Geng L, Zeng L, Liu F, Huang Q. AKT2 contributes to increase ovarian cancer cell migration and invasion through the AKT2-PKM2-STAT3/NF-kappaB axis. Cell Signal. 2018;45:122–31. doi: 10.1016/j.cellsig.2018.01.021. [DOI] [PubMed] [Google Scholar]
- 36.Luxton HJ, Simpson BS, Mills IG, Brindle NR, Ahmed Z, Stavrinides V, The Oncogene Metadherin Interacts with the Known Splicing Proteins YTHDC1, Sam68 and T-STAR and Plays a Novel Role in Alternative mRNA Splicing. Cancers (Basel) 2019. 11. [DOI] [PMC free article] [PubMed]
- 37.Chen S, Zhou Y, Chen Y, Gu J. fastp: an ultra-fast all-in-one FASTQ preprocessor. Bioinformatics. 2018;34:i884–90. doi: 10.1093/bioinformatics/bty560. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Kim D, Paggi JM, Park C, Bennett C, Salzberg SL. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat Biotechnol. 2019;37:907–15. doi: 10.1038/s41587-019-0201-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N. et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25:2078–9. doi: 10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Shen S, Park JW, Huang J, Dittmar KA, Lu ZX, Zhou Q. et al. MATS: a Bayesian framework for flexible detection of differential alternative splicing from RNA-Seq data. Nucleic Acids Res. 2012;40:e61. doi: 10.1093/nar/gkr1291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bielli P, Sette C. Analysis of in vivo Interaction between RNA Binding Proteins and Their RNA Targets by UV Cross-linking and Immunoprecipitation (CLIP) Method. Bio Protoc. 2017. 7. [DOI] [PMC free article] [PubMed]
- 42.Pagliarini V, Jolly A, Bielli P, Di Rosa V, De la Grange P, Sette C. Sam68 binds Alu-rich introns in SMN and promotes pre-mRNA circularization. Nucleic Acids Res. 2020;48:633–45. doi: 10.1093/nar/gkz1117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Kashima T, Rao N, David CJ, Manley JL. hnRNP A1 functions with specificity in repression of SMN2 exon 7 splicing. Hum Mol Genet. 2007;16:3149–59. doi: 10.1093/hmg/ddm276. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.