Startseite Medizin Knockdown of pyruvate kinase M2 suppresses bladder cancer progression
Artikel Open Access

Knockdown of pyruvate kinase M2 suppresses bladder cancer progression

  • Guang-Cheng Luo , Ran Xu , Xi Zhang , Lin Xu , Xiao-Kun Zhao und Xin-Jun Wang EMAIL logo
Veröffentlicht/Copyright: 27. Januar 2023
Oncologie
Aus der Zeitschrift Oncologie Band 25 Heft 1

Abstract

Objectives

Bladder cancer (BCa) is one of the most frequently diagnosed cancers of the urinary tract and has a high mortality. The M2 splice isoform of pyruvate kinase (PKM2) is a key regulator of the Warburg effect in cancer cells. This study aimed to evaluate metabolic alterations and biological behaviours after knocking down PKM2.

Methods

In this study, 36 pairs of BCa tissues and adjacent normal tissues were collected to analyse the expression level of PKM2 and to explore the relationship between PKM2 level and tumour and patient status. After PKM2 knockdown in T24 cells, cell survival, migration, invasion, glucose uptake, lactate production, and apoptosis were detected. The tumour-forming ability of PKM2-reducing T24 cells was examined in vivo.

Results

The results showed that PKM2 expression correlates with BCa stage and grade. PKM2 knockdown decreases glucose consumption and lactate production and suppresses cell proliferation, migration, and invasion while increasing reactive oxygen species levels and apoptosis in T24 BCa cells in vitro. In nude mouse models, PKM2 knockdown reduced xenograft and orthotopic tumour size. Moreover, PKM2 knockdown decreased vimentin and fibronectin expression and increased E-cadherin expression. Analysis of high-throughput sequencing data revealed that PKM2 may also be associated with biological processes and diseases.

Conclusions

Overall, these results indicate that PKM2 may be a therapeutic target for BCa patients.

Introduction

Bladder cancer (BCa) is among the most prevalent cancers worldwide, with an estimated 573,278 new cases in 2020 according to GLOBOCAN [1]. Approximately 75% of BCa cases are diagnosed as either non-muscle-invasive tumours, which can be effectively treated by transurethral resection followed by intravesical therapy, or localized muscle-invasive BCa, which can be treated by radical cystectomy [2, 3]. However, it is difficult to treat distant metastatic muscle-invasive BCa, indicating the need to find novel therapeutic targets and develop promising approaches for the treatment of advanced BCa.

Pyruvate kinase (PK) is a key glycolytic enzyme that catalyses phosphoenolpyruvate (PEP) to produce pyruvate and generate ATP [4, 5]. There are four isoforms of PK in humans: the R and L forms are present in red blood cells and the liver, while the M1 and M2 forms were originally identified in muscle [6], [7], [8]. Generally, PKM1 is expressed in terminally differentiated tissues, while PKM2 is largely present in proliferating cells and cancerous cells [9], [10], [11]. Cancer cells preferentially utilize energy from glycolysis for survival, even under conditions of ample oxygen conditions, and PKM2 is required for glycolysis.

Therefore, the purpose of this study was to investigate the role of PKM2 in BCa. In this study, we observed PKM2 upregulation in BCa tissues compared to normal bladder tissues. Consistent with the clinical findings, PKM2 knockdown dramatically inhibited the proliferation and invasion of BCa cells. In addition, we found that short hairpin ribonucleic acid (shRNA)-mediated downregulation of PKM2 reduced glucose uptake and lactate production. In the xenograft mouse model, PKM2 knockdown significantly suppressed BCa growth. These data suggest that PKM2 plays a role in BCa progression and may be a therapeutic target for BCa.

Materials and methods

Clinical specimens

Prior approval for the use of clinical samples for research purposes was obtained from the Second Xiangya Hospital of Central South University (Changsha, China). The institutional ethics and scientific committee approved this study. We collected pairs of fresh BCa tissues and normal adjacent tissues from 36 patients who underwent radical cystectomy and for whom related clinical parameters were available. Written consent was obtained from all patients.

Cell culture

T24, 5,637 and EJ cells were obtained from the Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences (Shanghai, China) and were maintained in RPMI 1640 (catalogue number: 11875119, Gibco, New York, USA) supplemented with 10% foetal bovine serum (catalogue number: 10099141C, Gibco). HCV29 and UM-UC-3 cells were provided by Shenzhen Second People’s Hospital (Shenzhen, China) and were cultured in Dulbecco’s modified Eagle medium (catalogue number: 11965092, Gibco) supplemented with 10% foetal bovine serum. Cells were maintained in a humidified 5% CO2 environment at 37 °C.

RNA interference

The pLKO.1-puro vector was purchased from XIAMEN Anti-HeLa Biological Technology Trade Co. Ltd. (Xiamen, China) and was used to prepare plasmids encoding the shRNA of PKM2 (shPKM2) or negative control of shPKM2 (shCtrl). The corresponding primer sequences for shPKM2 were designed with DNAMAN (LynnonBiosoft, CA, USA) and synthesized according to the pLKO.1-puro vector specification and the human PKM2 gene (Table 1).

Table 1:

The sequences of primers for shPKM2.

Name Sequence (5′–3′)
shPKM2-1 forward primer AAAACATCTACCACTTGCAATTATTGGATCCAATAATTGCAAGTGGTAGATG
shPKM2-1 reverse primer CATCTACCACTTGCAATTATTGGATCCAATAATTGCAAGTGGTAGATGTTTT
shPKM2-2 forward primer AAAAGCTGTGGCTCTAGACACTAAATTGGATCCAATTTAGTGTCTAGAGCCACAGC
shPKM2-2 reverse primer GCTGTGGCTCTAGACACTAAATTGGATCCAATTTAGTGTCTAGAGCCACAGCTTTT
shPKM2-3 forward primer AAAAGAAGGGAAAGAACATCAAGATTTGGATCCAAATCTTGATGTTCTTTCCCTTC
shPKM2-3 reverse primer GAAGGGAAAGAACATCAAGATTTGGATCCAAATCTTGATGTTCTTTCCCTTCTTTT
shCtrl forward primer AAAAGAGGCTTCTTATAAGTGTTTATTGGATCCAATAAACACTTATAAGAAGCCTC
shCtrl reverse primer GAGGCTTCTTATAAGTGTTTATTGGATCCAATAAACACTTATAAGAAGCCTCTTTT
  1. shPKM2, short hairpin RNA for PKM2 RNA interference; shCtrl, short hairpin RNA for negative control.

As previously described, lentiviruses that were concentrated were packaged using plasmids shPKM2 or shCtrl, and the TCID50 of lentiviruses was detected [12]. According to the previous description, the obtained lentiviruses and T24 cells or UM-UC-3 cells overexpressing luciferase (Xiamen Immocell Biotechnology Co. Ltd., Xiamen, China) were used to generate stable PKM2 knockdown cell lines and their negative controls [13].

Quantitative real-time polymerase chain reaction (qRT‒PCR) assay

RNA isolated from cells or tissues was subjected to reverse transcription using Superscript™ III reverse transcriptase (catalogue number: 18080044, Invitrogen, CA, USA). qRT‒PCR was conducted using a Bio-Rad CFX96 system (Bio-Rad, CA, USA) with SYBR Green Master Mix (catalogue number: A46012, Applied Biosystems, CA, USA) to determine the mRNA expression levels of the genes of interest. Expression levels were normalized to β-actin levels. The following primers designed with DNAMAN were used for qRT‒PCR (Table 2).

Table 2:

The primers for qRT‒PCR.

Name Sequence (5′–3′)
PKM2 forward primer ATTATTTGAGGAACTCCGCCGCCT
PKM2 reverse primer ATTCCGGGTCACAGCAATGATGG
β-Actin forward primer CATTAAGGAGAAGCTGTGCT
β-Actin reverse primer GTTGAAGGTAGTTTCGTGGA
LDHA forward primer GGATCTCCAACATGGCAGCCTT
LDHA reverse primer AGACGGCTTTCTCCCTCTTGCT
Glut1 forward primer CATTAAGGAGAAGCTGTGCT
Glut1 reverse primer GTTGAAGGTAGTTTCGTGGA
c-Myc forward primer CCTGGTGCTCCATGAGGAGAC
c-Myc reverse primer CAGACTCTGACCTTTTGCCAGG
β-catenin forward primer CATTAAGGAGAAGCTGTGCT
β-catenin reverse primer GTTGAAGGTAGTTTCGTGGA
Twist1 forward primer GCCAGGTACATCGACTTCCTCT
Twist1 reverse primer TCCATCCTCCAGACCGAGAAGG
Slug forward primer ATCTGCGGCAAGGCGTTTTCCA
Slug reverse primer GAGCCCTCAGATTTGACCTGTC
Snai1 forward primer TGCCCTCAAGATGCACATCCGA
Snai1 reverse primer GGGACAGGAGAAGGGCTTCTC
Zeb1 forward primer GGCATACACCTACTCAACTACTACGG
Zeb1 reverse primer TGGGCGGTGTAGAATCAGAGTC
Zeb2 forward primer AATGCACAGAGTGGCAAGGC
Zeb2 reverse primer CTGCTGATGTGCGAACTGTAGG
CXCL8 forward primer GAGAGTGATTGAGAGTGGACCAC
CXCL8 reverse primer CACAACCCTCTGCACCCAGTTT
E2F1 forward primer GGACCTGGAAACTGACCATCAG
E2F1 reverse primer CAGTGAGGTCTCATAGCGTGAC
GSTP1 forward primer TGGACATGGTGAATGACGGCGT
GSTP1 reverse primer GGTCTCAAAAGGCTTCAGTTGCC
HBEGF forward primer TGTATCCACGGACCAGCTGCTA
HBEGF reverse primer TGCTCCTCCTTGTTTGGTGTGG
HRAS forward primer ACGCACTGTGGAATCTCGGCAG
HRAS reverse primer TCACGCACCAACGTGTAGAAGG
IL6 forward primer AGACAGCCACTCACCTCTTCAG
IL6 reverse primer TTCTGCCAGTGCCTCTTTGCTG
MCM2 forward primer TGCCAGCATTGCTCCTTCCATC
MCM2 reverse primer AAACTGCGACTTCGCTGTGCCA
MCM5 forward primer GACTTACTCGCCGAGGAGACAT
MCM5 reverse primer TGCTGCCTTTCCCAGACGTGTA
MCM7 forward primer GCCAAGTCTCAGCTCCTGTCAT
MCM7 reverse primer CCTCTAAGGTCAGTTCTCCACTC
MUC1 forward primer CCTACCATCCTATGAGCGAGTAC
MUC1 reverse primer GCTGGGTTTGTGTAAGAGAGGC
MUC5AC forward primer CCACTGGTTCTATGGCAACACC
MUC5AC reverse primer GCCGAAGTCCAGGCTGTGCG
NGF forward primer ACCCGCAACATTACTGTGGACC
NGF reverse primer GACCTCGAAGTCCAGATCCTGA
PCNA forward primer CAAGTAATGTCGATAAAGAGGAGG
PCNA reverse primer GTGTCACCGTTGAAGAGAGTGG
POLD1 forward primer ACTACACGGGAGCCACTGTCAT
POLD1 reverse primer GCGTGGTGTAACACAGGTTGTG
RASSF1 forward primer AGTGGGAGACACCTGACCTTTC
RASSF1 reverse primer GAAGCCTGTGTAAGAACCGTCC
RNASEH2C forward primer GGGATACGTGATGGTGACAGAAG
RNASEH2C reverse primer AAGCGGCTGAAGTTGGCAGTGG
THBS1 forward primer GCTGGAAATGTGGTGCTTGTCC
THBS1 reverse primer CTCCATTGTGGTTGAAGCAGGC
TP53 forward primer CCTCAGCATCTTATCCGAGTGG
TP53 reverse primer TGGATGGTGGTACAGTCAGAGC

Measurement of glucose consumption

Cellular glucose metabolism rates were measured by following the conversion of 5-3H-glucose to 3H2O as described previously [14]. In brief, when grown to approximately 80% confluence, the cells were incubated at 37 °C for 30 min in Krebs buffer (catalogue number: PH1832, Scientific Phygene, Fuzhou, China) without glucose after being washed twice with phosphate buffered solution (PBS, catalogue number: C0221A, Beyotime Biotechnology, Shanghai, China). Subsequently, the buffer was replaced with Krebs buffer containing 10 mM glucose spiked with 10 μCi of 5-3H-glucose. After 1 h, the supernatant samples were transferred to PCR tubes containing 0.2 N HCl (catalogue number: 10011018, Sinopharm Group, Beijing, China), and the amount of 3H2O was determined by diffusion as described previously [14].

Measurement of lactate production

The cells grew to approximately 80% confluence in 12-well plates. The old supernatant was discarded. Then, the cells were incubated in fresh growth medium for 1 h after washing twice with PBS. The lactate produced by treated cells was measured using the PicoProbe™ Lactate Fluorometric Assay Kit (catalogue number: ab169557, abcam, Cambridgeshire, United Kingdom) according to the manufacturer’s instructions. The cell number was determined using a Multisizer 4e Coulter Counter (Beckman Coulter Inc., CA, USA).

Measurement of cell apoptosis

T24 cells with or without shPKM2 were collected and suspended in annexin V-fluorescein isothiocyanate and propidium iodide reagents (catalogue number: A211-01, Vazyme, Nanjing, China) at 27 °C for 30 min in the dark following the manufacturer’s instructions. The prepared cells were subjected to flow cytometry analysis (NovoCyte 1300, ACEA Biosciences Inc., CA, USA).

ROS detection

T24 cells with or without shPKM2 were loaded with a reactive oxygen species detection kit (catalogue number: S0033S, Beyotime Biotechnology) according to the manufacturer’s instructions. The cells were then subjected to flow cytometry analysis.

Western blotting analysis

Cells were lysed in ice-cold RIPA buffer (catalogue number: P0013C, Beyotime Biotechnology), and 20 µg of protein was separated by electrophoresis on 8% denaturing SDS‒PAGE gels. After the separated proteins were transferred to membranes, the membranes were incubated with 5% bovine serum albumin (catalogue number: ST2254-20g, Beyotime Biotechnology) in PBS at room temperature for 2 h, followed by incubation with primary antibodies overnight at 4 °C. The next day, the membranes were incubated with the appropriate secondary antibodies at room temperature for 1 h. The chemiluminescent substrate kit (catalog number: WP20005, Invitrogen, CA, USA) was added to the membrane and the protein bands were visualized using X-ray film. The signal intensity was quantified using ImageJ software (version 8, National Institutes of Health, Maryland, USA). The study employed primary antibodies against PKM2 (catalogue number: 4053, 1:1000, Cell Signaling Technology, Boston, USA), vimentin (catalogue number: 46173, 1:1000, Cell Signaling Technology), E-cadherin (catalogue number: 3195, 1:1000, Cell Signaling Technology), fibronectin (catalogue number: 26836, 1:1000, Cell Signaling Technology), or β-actin (catalogue number: 4970, 1:1000, Cell Signaling Technology), and secondary horseradish peroxidase (HRP)-linked antibodies against mouse IgG (catalogue number: 7076, 1:2000, Cell Signaling Technology) or rabbit IgG (catalogue number: 7074, 1:2000, Cell Signaling Technology).

Cell proliferation assay

For the cell proliferation assay, cells were seeded in 96-well plates at an initial density of 3 × 103 cells/well. The cells were stained with cell counting kit-8 (CCK-8, catalogue number: C0037, Beyotime Biotechnology) for 1 h at 37 °C at each time point. Then, the absorbance of each well was measured at 450 nm using a SpectraMax® Absorbance Plate Reader (supplier number: PLUS 384, Molecular Devices, San Francisco, USA). All experiments were performed in triplicate.

Transwell assay

Migration and invasion assays were performed using transwell plates (Corning, Shanghai, China) with 8-μm-pore membranes precoated without or with Matrigel (catalogue number: E1270, Sigma-Aldrich, Shanghai, China), respectively. In total, 1 × 105 T24 cells with or without shPKM2 were plated in the upper chambers of the transwells. After a 24-h incubation, the cells that crossed the membrane were stained with 0.5% crystal violet, and six random fields per membrane were counted. The migrated or invaded cells were counted and photographed under a light microscope (Motic, Xiamen, China).

Wound healing assay

T24 cells infected with virus containing shCtrl or shPKM2 were seeded into 6-well plates (Corning, Shanghai, China) and grown to 100% confluence. A straight-line wound was created by scratching the monolayer with a 200 μL pipette tip (Corning, Shanghai, China). The cells were continuously cultured in serum-free medium for 24 h and observed under a microscope (Motic, Xiamen, China).

Immunohistochemical (IHC) staining

Deparaffinized and rehydrated tissue sections were pretreated with 3% peroxidase in methanol (catalogue number: 10014108, Sinopharm Group) for 10 min at room temperature. Antigen retrieval was performed by boiling the sections in citrate buffer (catalogue number: P4809, Sigma-Aldrich) (pH 6.0) for 30 min. After preincubation with 10% normal goat serum (catalogue number: C0265, Beyotime Biotechnology) in PBS for 1 h at room temperature, the sections were incubated with PKM2 antibody (1:200, catalogue number: 4053, Cell Signaling Technology) overnight at 4 °C and then with HRP-polymer anti-rabbit IgG (catalogue number: KIT-5010, MXB Biotechnologies, Fuzhou, China) for another hour. The PKM2 signal was visualized by DAB (catalogue number: P0202, Beyotime Biotechnology) staining.

Animal studies

All animal experiments were approved by the Ethical Committee on Animal Experiments of the Animal Care Committee of Xiamen University (Xiamen, China).

Twenty-eight 6-week-old male nude mice provided by Shanghai Laboratory Animal Centre (Shanghai, China) were randomly divided into four groups with 7 mice in each group. For tumour growth assays, 5 × 106 T24 cells expressing shCtrl or shPKM2 were subcutaneously injected into their lower backs and allowed to grow for 7 weeks (n=7 per group). Starting one week after injection, the tumour volume was measured weekly using a Vernier calliper. After 7 weeks of tumour growth, the nude mice were euthanized with 100% CO2 gas at a flow rate of 30–70% of the chamber volume per minute. The tumours were harvested, and the weight and volume of each tumour were measured with an electronic balance and Vernier calliper, respectively.

Naito, T. et al. examined the tumour induction abilities of the HT1376, 5,637, T24, and UM-UC-3 cell lines, and found that the tumour formation rate of UM-UC-3 cells injected into the mouse bladder was up to 90% [15]. Therefore, UM-UC-3 cells were used for the orthotopic BCa model. In brief, nude mice were anaesthetized with inhaled 1.5% isoflurane (Abbott Laboratories, Shanghai, China) using a nose cone delivery device, and 5 × 105 UM-UC-3 cells expressing luciferase and shCtrl or shPKM2 were injected into the bladders (n=7 per group). Tumour growth at day 28 was monitored using the live animal IVIS Lumina II system (Caliper Life Sciences, Massachusetts, USA).

Analysis of data from high-throughput sequencing

T24 cells expressing shPKM2 or shCtrl were sent to Beijing Novogene Technology Co., Ltd (Beijing, China). For high-throughput sequencing. Principal component analysis (PCA) was used to evaluate the obtained data for intergroup differences and intragroup sample duplication. Gene expression differences between groups were compared using DESeq2 software (1.20.0), with padj <0.05 and |log2FC|>0 indicating significant differences. Differentially expressed genes from obtained datasets were subjected to Kyoto Encyclopedia of Genes and Genomes (KEGG) and Disease Ontology (DO) enrichment analysis was performed using clusterProfiler software (3.4.4), with a p value <0.05 as the threshold for significant enrichment. Gene set enrichment analysis (GSEA) of the obtained data was performed KEGG and DO datasets with the following website: http://www.broadinstitute.org/gsea/index.jsp.

Statistics

All statistical analyses were performed with SPSS 19.0. Differences in mean values between two groups were analysed by Student’s t-test. Single-factor analysis of variance (ANOVA) was used to analyse the significance of differences between multiple groups, followed by Bonferroni’s post hoc correction. p<0.05 was considered to indicate statistical significance.

Results

PKM2 is highly expressed in BCa tissues

PKM2 expression levels in BCa have rarely been documented. To this end, we collected 36 pairs of matched BCa tissues and normal tissues and detected the protein and mRNA levels of PKM2. The results showed that both the protein levels (Figure 1A and B) and mRNA levels (Figure 1C and D) were significantly higher in BCa tissues (n=36) than in normal tissues (n=36), suggesting that PKM2 may be involved in BCa progression. Importantly, high PKM2 protein and mRNA expression levels were tightly associated with tumour grade, tumour stage and lymph node metastasis (Figure 1E and G & Table 3). In accordance with the clinical findings, PKM2 expression levels were also higher in BCa cell lines than in the nonmalignant epithelial cell line HCV29 (Figure 1H). Together, these data support the notion that PKM2 is overexpressed in BCa in clinical and experimental settings.

Figure 1: 
PKM2 is upregulated in bladder cancer (BCa) samples and cell lines. (A) Representative images of IHC staining showing that PKM2 is upregulated in BCa tissues compared to normal bladder tissues. (B) Top, PKM2 protein levels in normal bladder tissues (N) and BCa tissues (B) measured by Western blotting. β-Actin served as a loading control. Bottom, statistical analysis of PKM2 expression in normal bladder tissues and BCa tissues. The data are presented as the mean ± standard error of the mean (SEM). (C) qRT‒PCR analysis of PKM2 expression in human BCa tissues and matched normal bladder tissues from 36 patients with BCa. Data are presented as the log2-fold change (relative PKM2 mRNA expression in a tumour sample/relative mRNA expression in the matched normal bladder tissue sample) to show the relative expression in every paired sample. The difference in relative expression between all the normal bladder samples and tumour samples is shown. (D) PKM2 mRNA levels were significantly increased in BCa samples (BCa tissues: n=36, matched normal bladder tissues: n=36). The expression of each gene was normalized to that of β-actin. The data are presented as the means ± SEMs. (E, F, G) Correlation between PKM2 mRNA expression and BCa clinical stage (E; Ta-T1: n=14; T2-T4: n=22), pathological grade (F; grade I: n=14; grade III: n=22) and metastasis status (G; M0: n=20; M1: n=16). The data are presented as the means ± SEMs. (H) PKM2 expression levels were increased in BCa cell lines compared to normal epithelial cells (HCV29). The data are presented as the means ± standard deviations (SD). **p<0.01; ***p<0.001.
Figure 1:

PKM2 is upregulated in bladder cancer (BCa) samples and cell lines. (A) Representative images of IHC staining showing that PKM2 is upregulated in BCa tissues compared to normal bladder tissues. (B) Top, PKM2 protein levels in normal bladder tissues (N) and BCa tissues (B) measured by Western blotting. β-Actin served as a loading control. Bottom, statistical analysis of PKM2 expression in normal bladder tissues and BCa tissues. The data are presented as the mean ± standard error of the mean (SEM). (C) qRT‒PCR analysis of PKM2 expression in human BCa tissues and matched normal bladder tissues from 36 patients with BCa. Data are presented as the log2-fold change (relative PKM2 mRNA expression in a tumour sample/relative mRNA expression in the matched normal bladder tissue sample) to show the relative expression in every paired sample. The difference in relative expression between all the normal bladder samples and tumour samples is shown. (D) PKM2 mRNA levels were significantly increased in BCa samples (BCa tissues: n=36, matched normal bladder tissues: n=36). The expression of each gene was normalized to that of β-actin. The data are presented as the means ± SEMs. (E, F, G) Correlation between PKM2 mRNA expression and BCa clinical stage (E; Ta-T1: n=14; T2-T4: n=22), pathological grade (F; grade I: n=14; grade III: n=22) and metastasis status (G; M0: n=20; M1: n=16). The data are presented as the means ± SEMs. (H) PKM2 expression levels were increased in BCa cell lines compared to normal epithelial cells (HCV29). The data are presented as the means ± standard deviations (SD). **p<0.01; ***p<0.001.

Table 3:

Relationship between PKM2 expression and clinicopathological parameters of bladder cancer patients.

Variable Number of cases PKM2 expression p-Value
Low high
Sex 0.821
M 20 8 12
F 16 7 9
Age 0.650
≤65 16 6 10
>65 20 9 11
Pathological grade 0.0005
Grade Ⅰ 14 11 3
Grade Ⅱ-Ⅲ 22 4 18
TNM stage 0.006
Ta-T1 14 10 4
T2-T4 22 5 17
Lymph node status
M0 20 13 7 0.0228
M1 16 4 12
  1. shPKM2, short hairpin RNA for PKM2 RNA interference.

Attenuation of PKM2 suppresses BCa cell proliferation and invasion

A rapid proliferation rate and strong invasive ability are two hallmarks of cancer cells [16, 17]. To determine whether PKM2 affects these two processes, we first constructed three shRNAs against PKM2, all of which effectively decreased PKM2 levels (Figure 2A and B). We chose the best shRNA, shPKM2-1, for the subsequent experiments. The CCK-8 assay results revealed that PKM2 knockdown decreased the proliferation rate of T24 cells (Figure 2C). Furthermore, shPKM2 strongly decreased the migratory ability of T24 cells, as indicated by wound healing (Figure 2D) and Matrigel-free Transwell assays (Figure 2E). Accordingly, the invasive ability of T24 cells, as monitored by the Matrigel-based transwell assay, was also decreased by shPKM2 (Figure 2F). Mechanistically, silencing PKM2 markedly affected epithelial-mesenchymal transition (EMT)-related genes such as E-cadherin, vimentin, and fibronectin (Figure 2G). PKM2 silencing decreased the expression of Twist1, Snai1, Zeb1, LDHA, GLUT1, and c-Myc, while no significant change in β-catenin, Slug or Zeb2 expression was observed (Figure 2H ).

Figure 2: 
Attenuation of PKM2 suppresses BCa cell proliferation and invasion. (A, B) The knockdown efficiency of shPKM2 was detected by Western blotting (A) and qRT‒PCR (B) and showed that PKM2 was successfully silenced by shRNA in T24 cells. β-actin was used as a loading control. The data are presented as the means ± SDs. (C) T24 cell proliferation was dramatically suppressed by shRNA targeting PKM2. The data are presented as the means ± SEMs. (D) Knockdown of PKM2 in T24 cells inhibited cell migration, as indicated by the wound-healing assay. (E, F) Transwell assays revealed that shRNA-mediated PKM2 knockdown abrogated the migration (E) and invasion (F) of T24 cells. The data are presented as the means ± SEMs. (G) Silencing PKM2 in T24 cells decreased the expression levels of EMT-associated genes. β-actin was used as a loading control. (H) Silencing PKM2 in T24 cells decreased Twist1, Zeb1, LDHA, Snai1, GLUT1, and c-Myc expression but did not significantly affect β-catenin, Slug or Zeb2 expression. The data are presented as the means ± SEMs. These experiments were performed three times independently (n=3). *p<0.05; **p<0.01; ***p<0.001; ns: not significant.
Figure 2:

Attenuation of PKM2 suppresses BCa cell proliferation and invasion. (A, B) The knockdown efficiency of shPKM2 was detected by Western blotting (A) and qRT‒PCR (B) and showed that PKM2 was successfully silenced by shRNA in T24 cells. β-actin was used as a loading control. The data are presented as the means ± SDs. (C) T24 cell proliferation was dramatically suppressed by shRNA targeting PKM2. The data are presented as the means ± SEMs. (D) Knockdown of PKM2 in T24 cells inhibited cell migration, as indicated by the wound-healing assay. (E, F) Transwell assays revealed that shRNA-mediated PKM2 knockdown abrogated the migration (E) and invasion (F) of T24 cells. The data are presented as the means ± SEMs. (G) Silencing PKM2 in T24 cells decreased the expression levels of EMT-associated genes. β-actin was used as a loading control. (H) Silencing PKM2 in T24 cells decreased Twist1, Zeb1, LDHA, Snai1, GLUT1, and c-Myc expression but did not significantly affect β-catenin, Slug or Zeb2 expression. The data are presented as the means ± SEMs. These experiments were performed three times independently (n=3). *p<0.05; **p<0.01; ***p<0.001; ns: not significant.

All these findings indicate that PKM2 acts as an oncogenic factor to promote BCa progression, likely by regulating EMT.

PKM2 deficiency abrogates aerobic glycolysis and sensitizes BCa cells to cisplatin treatment

Because PKM2 is a key enzyme required for glycolysis, we sought to explore glycolytic activity after manipulating the levels of PKM2. As shown in Figure 3A, attenuating PKM2 expression in T24 cells considerably reduced glucose consumption and lactate production, indicating the important role of PKM2 in mediating aerobic glycolysis. Consistently, increased ROS levels were observed in PKM2-deficient T24 cells (Figure 3B). Importantly, shPKM2 sensitized T24 cells to cisplatin treatment, as reflected by the increase in apoptosis rate and the decrease in viability rate after exposure to cisplatin (Figure 3C).

Figure 3: 
PKM2 deficiency abrogates aerobic glycolysis and sensitizes BCa cells to cisplatin treatment. (A) PKM2 deficiency suppressed glucose uptake and lactate production. Equal numbers of shCtrl and shPKM2 T24 cells were separately seeded into 24-well plates. Forty-eight hours later, the levels of glucose and lactate in the culture medium were measured by a spectrophotometer. The data are presented as the means ± SDs. (B) ROS levels, which were measured by flow cytometry, in T24 cells were increased when PKM2 was knocked down by shRNA. The data are presented as the means ± SDs. (C) PKM2 knockdown resulted in increased apoptosis of T24 cells and sensitization of T24 cells to cisplatin treatment. T24 cells with or without PKM2 expression were treated with 20 µM cisplatin for 24 h and then collected for cell viability and apoptosis detection by flow cytometry. The data are presented as the means ± SDs. These experiments were performed three times independently (n=3). *p<0.05; **p<0.01; ***p<0.001.
Figure 3:

PKM2 deficiency abrogates aerobic glycolysis and sensitizes BCa cells to cisplatin treatment. (A) PKM2 deficiency suppressed glucose uptake and lactate production. Equal numbers of shCtrl and shPKM2 T24 cells were separately seeded into 24-well plates. Forty-eight hours later, the levels of glucose and lactate in the culture medium were measured by a spectrophotometer. The data are presented as the means ± SDs. (B) ROS levels, which were measured by flow cytometry, in T24 cells were increased when PKM2 was knocked down by shRNA. The data are presented as the means ± SDs. (C) PKM2 knockdown resulted in increased apoptosis of T24 cells and sensitization of T24 cells to cisplatin treatment. T24 cells with or without PKM2 expression were treated with 20 µM cisplatin for 24 h and then collected for cell viability and apoptosis detection by flow cytometry. The data are presented as the means ± SDs. These experiments were performed three times independently (n=3). *p<0.05; **p<0.01; ***p<0.001.

The shPKM2 group exhibited slower tumour growth than the control group

It is worth evaluating the contribution of PKM2 to BCa progression in a xenograft mouse model. Thus, we subcutaneously implanted shCtrl- or shPKM2-expressing T24 cells (5 × 106) into nude mice and monitored tumour growth weekly. Tumours in mice in the shPKM2 group had a slower growth rate than that in control group (Figure 4A and B, and Table 4). To further confirm the in vivo function of PKM2, we utilized an orthotopic mouse model. Here, we first generated luciferase-expressing UM-UC-3 cells with or without shPKM2 transfection and then inoculated these cells (5 × 105) into the bladders of nude mice. Tumour progression was evaluated via an in vivo imaging system (IVIS). After 6 weeks, a dramatic reduction in the luciferase signal was observed in the shPKM2 group compared to the control group (Figure 4C), suggesting that PKM2 knockdown suppresses BCa growth. Collectively, these two mouse models support the hypothesis that PKM2 plays an oncogenic role in BCa progression.

Figure 4: 
PKM2 is indispensable for in vivo BCa growth. (A) T24 cells (5 × 106) were mixed with Matrigel (1:1) and subcutaneously implanted into nude mice. Tumour progression in the shCtrl (n=7) and shPKM2 (n=7) groups was assessed weekly by determine tumour volume with callipers. The data are presented as the means ± SEMs. (B) At 7 weeks after nude mice were subcutaneously implanted with T24 cells, the tumours were excised, photographed and weighed, and the results are shown in the figure. The upper picture comprises images of the tumours whose short and long diameters are shown in Table 4, and the lower picture is the quantitation of tumour weight. shCtrl group: n=7; shPKM2 group: n=5. Noticeably, no tumours were observed in the two nude mice implanted with shPKM2-expressing T24 cells. The data are presented as the means ± SEMs. (C) Luciferase-expressing UM-UC-3 cells (5 × 105) were orthotopically injected into the bladder. The size of tumours generated by shCtrl (n=7) and shPKM2 (n=7) cells was monitored by an IVIS imaging system (left). Quantitation of photon flux as assessed by bioluminescence measurements (right). The data are presented as the means ± SEMs. *p<0.05; **p<0.01; ***p<0.001.
Figure 4:

PKM2 is indispensable for in vivo BCa growth. (A) T24 cells (5 × 106) were mixed with Matrigel (1:1) and subcutaneously implanted into nude mice. Tumour progression in the shCtrl (n=7) and shPKM2 (n=7) groups was assessed weekly by determine tumour volume with callipers. The data are presented as the means ± SEMs. (B) At 7 weeks after nude mice were subcutaneously implanted with T24 cells, the tumours were excised, photographed and weighed, and the results are shown in the figure. The upper picture comprises images of the tumours whose short and long diameters are shown in Table 4, and the lower picture is the quantitation of tumour weight. shCtrl group: n=7; shPKM2 group: n=5. Noticeably, no tumours were observed in the two nude mice implanted with shPKM2-expressing T24 cells. The data are presented as the means ± SEMs. (C) Luciferase-expressing UM-UC-3 cells (5 × 105) were orthotopically injected into the bladder. The size of tumours generated by shCtrl (n=7) and shPKM2 (n=7) cells was monitored by an IVIS imaging system (left). Quantitation of photon flux as assessed by bioluminescence measurements (right). The data are presented as the means ± SEMs. *p<0.05; **p<0.01; ***p<0.001.

Table 4:

The short and long diameters of the tumours.

Group Rat’s no. Long diameters, cm Short diameters, cm
shCtrl 1 1.51 1.22
2 1.64 1.20
3 1.31 0.99
4 1.42 0.98
5 1.62 1.26
6 1.41 1.02
7 1.54 1.27
shPKM2 1 1.31 1.11
2 1.23 0.95
3 1.32 0.99
4 0.00 0.00
5 0.00 0.00
6 1.56 1.00
7 1.64 1.02
  1. shPKM2, short hairpin RNA for PKM2 RNA interference; shCtrl, short hairpin RNA for negative control.

PKM2 is associated with various diseases and biological processes

We performed high-throughput sequencing on three groups of T24 cells with stable PKM2 knockdown and control cells, and assessed the differences between groups and gene expression distribution (Figure 5A and B). In total, 630 genes were upregulated and 1,103 genes were downregulated in PKM2 knockdown cells compared with control cells (Figure 5C and D). The genes co-expressed with PKM2 are enriched in many biological processes and various diseases, such as thermogenesis and respiratory system cancer (Figure 6). Gene enrichment analysis showed that PKM2 may be associated with bladder cancer, bladder disease and DNA replication (Figure 7A and B). Knockdown of PKM2 increased the mRNA levels of the related genes CXCL8, E2F1, GSTP1, HBEGF, HRAS, IL-6, MCM2, MCM5, MCM7, MUC1, MUC5AC, NGF, PCNA, POLD1, RASSF1, RNASEH2C, THBS1 and TP53 (Figure 7C).

Figure 5: 
Changes in gene expression in PKM2-silenced cells were explored by analysing data obtained by high-throughput sequencing. (A) Boxplot of gene expression distribution in sequencing samples. (B) Principal component analysis (PCA) plot of sequenced samples. (C) Volcano plot of differentially expressed genes. (D) Heatmap of differentially expressed gene clustering.
Figure 5:

Changes in gene expression in PKM2-silenced cells were explored by analysing data obtained by high-throughput sequencing. (A) Boxplot of gene expression distribution in sequencing samples. (B) Principal component analysis (PCA) plot of sequenced samples. (C) Volcano plot of differentially expressed genes. (D) Heatmap of differentially expressed gene clustering.

Figure 6: 
Enrichment analysis of data obtained by high-throughput sequencing with significance values. (A) Scatter plot of differentially enriched KEGG gene sets. (B) Scatter plot of differentially enriched DO gene sets.
Figure 6:

Enrichment analysis of data obtained by high-throughput sequencing with significance values. (A) Scatter plot of differentially enriched KEGG gene sets. (B) Scatter plot of differentially enriched DO gene sets.

Figure 7: 
PKM2 may be associated with bladder cancer, bladder disease and DNA replication. (A) GSEA of sequenced samples in the KEGG dataset and DO dataset. (B) Rank metric score of genes associated with bladder cancer, DNA replication and bladder disease. (C) The mRNA levels of functional genes were verified by qRT‒PCR.
Figure 7:

PKM2 may be associated with bladder cancer, bladder disease and DNA replication. (A) GSEA of sequenced samples in the KEGG dataset and DO dataset. (B) Rank metric score of genes associated with bladder cancer, DNA replication and bladder disease. (C) The mRNA levels of functional genes were verified by qRT‒PCR.

Discussion

BCa is the tenth most common cancer worldwide, with a global incidence of approximately 573,000 cases in 2020 [1]. Approximately 75% of these patients present with non-muscle-invasive disease, which is notable for its significant risk of recurrence and potential for progression; these patients are mainly managed with local therapy, followed by surveillance and intravesical chemotherapy. The remaining 25% of patients present with muscle-invasive disease. Although radical cystectomy is the standard treatment for muscle-invasive disease, its five-year survival rate is only approximately 50% because metastases develop in approximately 25–50% of these cases. For patients with unresectable or metastatic urothelial carcinoma, chemotherapy is the standard treatment [3, 18], but the outcomes of these patients are poor, with an estimated OS of 9–15 months [19]. Some ongoing clinical trials involving programmed death ligand 1 (PD-L1), programmed death receptor 1 (PD-1) and cytotoxic T lymphocyte antigen 4 (CTLA-4) inhibitors have shown encouraging results for metastatic BCa, but only patients overexpressing these receptors may benefit from these regimens [20]. Therefore, there is a need to find novel approaches to metastatic BCa.

One hallmark of cancer is altered cellular metabolism, and the changing microenvironment results in nutrient deprivation that requires a cancer cell to adapt and reprogram its metabolic processes. Unlike normal cells, cancer cells induce glycolysis upon exposure to hypoxia and preferentially metabolize glucose via glycolysis, even in an aerobic environment [21]. Increased glucose consumption and an elevated rate of lactate production are the characteristics of glycolysis in cancer cells first described by Otto Warburg in the 1920s; these phenomena are collectively known as the Warburg effect [22]. Most cancer cells selectively express the PKM2 isoform, resulting in lower glycolytic efficiency and the utilization of glycolytic intermediates as bimolecular building blocks to support cell growth and division. PKM1 and PKM2 are splice variants of the PKM gene regulated by hnRNP proteins under the control of c-Myc. PKM2 has also been shown to regulate gene expression, to act as a protein kinase and to regulate cellular responses to oxidative stress [23].

A recent paper showed marked overexpression of PKM2 in transgenic mice, human BCa cell lines and human low- and high-grade BCa specimens [24]. Another study supporting the importance of PKM2 in BCa was conducted by The Cancer Genome Atlas consortium. In 131 cases of muscle-invasive human BCa, they found using RNA sequencing that 97% expressed PKM2 transcripts and only 3% expressed PKM1 transcripts [25]. In our previous study, we found that PKM2 is overexpressed in urothelial BCa tissues and positively correlated with tumour stage, grade and prognosis [26]. A study reported that inhibiting PKM2 could reduce cisplatin resistance in advanced BCa [27]. A recent study showed that downregulating PKM2 expression enhances the anti-BCa efficiency of pirarubicin [28], and another study revealed that PKM2 upregulation may promote BCa development and metastasis by promoting cell proliferation, migration and invasion via the MAPK signalling pathway [29]. Moreover, a study found that PKM2 is not required for tumour initiation but is essential for tumour growth and maintenance as it enhances angiogenesis and promotes metabolic addiction [30]. Although several studies have documented the roles of PKM2 in BCa development, the detailed mechanism is still elusive.

Consistent with the findings of our previous study [26], we found herein that PKM2 was overexpressed in BCa patients and that its levels were tightly correlated with pathological grade, tumour stage and lymph node metastasis. Importantly, the expression of PKM2 was essential for the induction of aerobic glycolysis and the proliferation and invasion of BCa cells. In the in vivo mouse model, we observed delayed tumour growth when PKM2 expression was silenced by shRNA.

One of the hallmarks of cancer is altered metabolism; cancer cells preferentially utilize aerobic glycolysis to generate energy, even in the presence of sufficient oxygen [31], [32], [33]. Our data indicate that PKM2 knockdown reduced lactate production and glucose consumption, implying a reduction in glycolysis. PKM2 knockdown also led to a reduction in GLUT1, c-Myc and LDHA mRNA levels but had no significant effect on β-catenin expression. Previous reports have demonstrated that PKM2 can translocate to the nucleus to transcriptionally regulate certain genes by binding to HIF and β-catenin [34, 35]. In addition to altering tumour cell metabolism, PKM2 may act as a protein kinase and interact with growth-promoting proteins such as β-catenin, STAT3, and FGFR1. PKM2 can increase the transcription of cell cycle drivers such as cyclin D1 and hypoxia-related genes such as HIF1 [35], subsequently altering cell behaviours such as proliferation and invasion.

Our data show that mitochondrial ROS levels and apoptosis were increased when PKM2 was knocked down by shRNA. Elevated ROS levels have been detected in almost all cancer types, and cancer cells can adapt to oxidative stress via many mechanisms [36]. One study showed that mitochondrial PKM2 interacts with and phosphorylates Bcl2 and thereby inhibits ROS-induced apoptosis. In another study, an increase in intracellular ROS levels inhibited the glycolytic activity of PKM2 through the oxidation of cysteine 358; thus, glucose flux was diverted into the pentose phosphate pathway, thereby generating sufficient reducing potential to counteract the increased levels of ROS [37]. Thus, PKM2 can promote the adaptation of cancer cells to ROS at two levels, suggesting the therapeutic potential of targeting PKM2. Taken together, the results show that PKM2 plays an important role in inducing aerobic glycolysis and modulating ROS levels, proliferation and invasion in T24 cells.

A previous study reported that PKM2 upregulation may promote BCa development and metastasis by stimulating cell proliferation, migration and invasion via the MAPK signalling pathway [29]. In our study, another interesting finding was that PKM2 regulated EMT-associated genes (E-cadherin, fibronectin, and vimentin) at both the protein and mRNA levels. EMT is a biological process in which a nonmotile epithelial cell adopts a mesenchymal phenotype with invasive capacities. EMT is a critical step in which tumour cells acquire the ability to invade distant regions [38]. This phenomenon has been well documented in multiple biological processes, including embryogenesis, fibrosis, tumour progression and metastasis. The hallmark of EMT is the loss of epithelial surface markers, most notably E-cadherin, and the acquisition of mesenchymal markers, including vimentin, fibronectin and N-cadherin [39, 40]. Consistently, our data demonstrated that PKM2 downregulation slowed the migration, invasion and metastasis of BCa. EMT also endows cancer cells with apoptotic resistance upon exposure to therapeutic drugs [41, 42].

The downregulation of E-cadherin during EMT can be regulated by transcriptional repression through the binding of EMT transcription factors such as Snai1, Slug, Zeb1/2 and Twist1 [40]. We evaluated some transcription factors that regulate EMT, and our data demonstrated that PKM2 knockdown attenuated the expression of Twist1, Snai1 and Zeb1 without significantly altering Slug or Zeb2 expression. It is possible that PKM2 regulates EMT via Twist1 or Zeb1 at the transcriptional level; however, whether PKM2-mediated EMT is the direct cause of increased proliferation, invasion and drug resistance in BCa remains unknown.

Although the expression of PKM2 in UM-UC-3 cells was comparable to that in T24 cells, our study lacked in vitro analysis of UM-UC-3 cells, which was a limitation. In addition, the possible mechanisms by which PKM2 regulates aerobic glycolysis and modulates EMT are not yet clear. A possible future direction could be to distinguish the roles of cytosolic PKM2 and nuclear PKM2 in BCa development and progression.

In conclusion, our results showed that the downregulation of PKM2 decreased the proliferation, aerobic glycolysis, invasion and EMT of BCa cell lines and led to higher apoptosis rates and ROS levels in vitro. In vivo, the reduction in PKM2 levels suppressed BCa growth. In summary, our data provide a strong rationale for targeting PKM2 as a potential treatment for BCa.


Corresponding author: Dr. Xin-Jun Wang, The School of Clinical Medicine, Fujian Medical University, Fuzhou 350122, Fujian, China; and Department of Urology, Zhongshan Hospital Xiamen University, School of Medicine, Xiamen University, No. 201 South Hubin Road, Xiamen 361004, Fujian, China, Phone: 0592-2993111, E-mail:

Funding source: Natural Science Foundation of Fujian Province

Award Identifier / Grant number: 2020J011213

Funding source: Project of Science and Technology Bureau of Xiamen

Award Identifier / Grant number: 3502Z20184,033

Award Identifier / Grant number: 3502Z20194,022

Funding source: The Young/Middle-aged Talent Cultivation Project funded by Fujian Provincial Health and Family Planning Commission and Xiamen Health and Family planning Commission

Award Identifier / Grant number: 2021GGB028

Acknowledgments

We sincerely appreciate the patients who participated in this study.

  1. Research funding: This work was supported by the Project of Science and Technology Bureau of Xiamen (3502Z20184033 and 3502Z20194022), Natural Science Foundation of Fujian Province (2020J011213), and the Young/Middle-aged Talent Cultivation Project funded by Fujian Provincial Health and Family Planning Commission and Xiamen Health and Family planning Commission (2021GGB028).

  2. Author contributions: Guang-cheng Luo and Xin-jun Wang drafted the manuscript. Xiao-Kun Zhao collected tumour tissues and performed patient follow-up. Guang-cheng Luo and Xin-jun Wang participated in the study design. Guang-cheng Luo, Ran Xu, Xi Zhang, Lin Xu, Xiao-Kun Zhao, and Xin-jun Wang performed the experiments and analysed the results. Ran Xu, Xi Zhang, Lin Xu, and Xiao-Kun Zhao revised the manuscript. All authors read and approved the final manuscript for publication.

  3. Competing interests: All authors declare that they have no competing interests.

  4. Informed consent: Each participant signed an informed consent form.

  5. Ethical approval: This study was approved by the Ethics Committee of Xiamen University (approval number: 2017-012).

  6. Availability of data and materials: All relevant data and materials are presented in the manuscript. For more information, please contact the corresponding author.

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Received: 2022-10-21
Accepted: 2023-01-11
Published Online: 2023-01-27

© 2023 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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