Literature DB >> 32462986

PYGB Promoted Tumor Progression by Regulating Wnt/β-Catenin Pathway in Gastric Cancer.

Boning Xia1, Ke Zhang2, Chang Liu1.   

Abstract

Gastric cancer is one of the most common gastrointestinal malignancy with high mortality in East Asia. Investigation of pathogenic mechanisms of gastric cancer is crucial to develop novel therapeutic strategies and identify new therapeutic candidates. Brain-type glycogen phosphorylase is a glycogen phosphorylase involved in glycogen metabolism, which participates in multiple physiological and pathological processes. Overexpression of brain-type glycogen phosphorylase has been reported in various types of cancer, such as colorectal cancer and non-small cell lung cancer, however, the potential role of brain-type glycogen phosphorylase in gastric cancer remains unclear. Herein, we observed brain-type glycogen phosphorylase expression was significantly elevated in human gastric cancer tissues and positively correlated with the clinical-pathological features including tumor size, lymph node involvement, and tumor, node, metastasis stage of patients with gastric cancer. We further reported brain-type glycogen phosphorylase depletion suppressed the growth of gastric cancer, weakened the epithelial-mesenchymal transformation, and reduced the migration and invasion ability in cell models. We further confirmed brain-type glycogen phosphorylase depletion inhibited tumor growth and lung metastasis in mice. Importantly, we found brain-type glycogen phosphorylase regulated the progression of gastric cancer via Wnt/β-catenin pathway, shedding lights on brain-type glycogen phosphorylase as a promising therapeutic target for drug design and development targeting gastric cancer.

Entities:  

Keywords:  brain-type glycogen phosphorylase (PYGB); epithelial–mesenchymal transformation (EMT); gastric cancer (GC); invasion; migration; proliferation

Mesh:

Substances:

Year:  2020        PMID: 32462986      PMCID: PMC7257874          DOI: 10.1177/1533033820926592

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


Introduction

Gastric cancer (GC) is considered as one of the major causes of cancer-related deaths worldwide and the most common gastrointestinal malignancy in East Asia.[1,2] Despite advances in surgical techniques and targeted chemotherapies, the 5-year overall survival rate remains unsatisfactory as most patients with lymphatic metastasis are always diagnosed at advanced stages.[3-5] The molecular biomarkers related to progression and metastasis of GC should be identified and utilized in clinical practice. It is crucial to develop diagnostic markers and new effective treatment methods due to high occurrence, poor diagnosis, and quick development of GC. As a glycogen phosphorylase, brain-type glycogen phosphorylase (PYGB) participates in glycogen metabolism.[6-8] In emergency state, PYGB could provide energy for organisms.[8-11] Brain-type glycogen phosphorylase could be upregulated by adenosine monophosphate and downregulated by adenosine triphosphate.[12,13] Brain-type glycogen phosphorylase has been reported to regulate multiple physiological and pathological processes.[14-17] Previous studies have shown PYGB inhibited the reactive oxygen species (ROS) production in mammalian cells and suppressed Escherichia coli cell apoptosis.[17] Overexpression of PYGB has been observed in many cancer types, such as colorectal cancer and non-small cell lung cancer, and studies reported PYGB could regulate multiple biological characters of cancer cells, including proliferation, invasion, and apoptosis.[14,18-24] For example, PYGB ablation inhibited the proliferation of human osteosarcoma cells in vitro [12]; PYGB silencing also suppressed the growth of prostate cancer cells and promoted apoptosis through the nuclear factor-κB/nuclear factor erythroid-2 (NRF2) signaling pathway.[17] To date, PYGB level is elevated in gastric epithelial lesions and in highly differentiated GC cells. However, the possible role of PYGB in GC remains unknown. In this study, we found PYGB expression was elevated in human GC tissues, and PYGB depletion could suppress the growth of GC, decrease epithelial–mesenchymal transformation (EMT), and reduce the migration and invasion ability of cancer cells. Interestingly, PYGB regulated GC cell progression via Wnt/β-catenin pathway. In addition, PYGB depletion could also inhibit tumor growth and lung metastasis of xenograft tumor, suggesting PYGB functions as a promising therapeutic target for drug design and development targeting GC.

Materials and Methods

Human Specimen

Paired human GC tissues and the corresponding normal tissues were obtained from 57 patients in our hospital by surgical resection. Relevant clinical information was collected and all tissue analysis were consented by all participants. All procedures performed in this study involving human participants were in accordance with the standards upheld by the Ethics Committee of The Second Affiliated Hospital of Chongqing Medical University and with those of the 1964 Helsinki Declaration and its later amendments for ethical research involving human subjects.

Cell Culture

Cell lines used in this study included human GC cell lines (HGC-27, SNU-1, AGS and MKN45) and human gastric epithelial cell line (GES-1). Cell lines were bought from Shanghai Biochemistry and Cell Biology Institute. Cells were maintained in Roswell Park Memorial Institute-1640 culture medium (Life Technologies) with 10% heat-inactivated fetal calf serum (Life Technologies) and 100 µg/mL penicillin/streptomycin at 37 °C in a 5% CO2 humidified incubator (Thermo). Brain-type glycogen phosphorylase short hairpin RNA (shRNA) vectors and a negative control were bought from Gene Pharma. Transfection of PYGB shRNA plasmids was performed using Lipofectamine 3000 according to the manufacturer instruction (Invitrogen). Lentiviruses-mediated PYGB ablation or relative nonscramble control was constructed by GenePharma.

Antibodies

Antibodies used in this study are as follows: PYGB (1:100 for immunohistochemistry [IHC], 1:1000 for immunoblot; ab154969; Abcam), E-cadherin (1:100 for IHC and IF; 14472; CST), Vimentin (1:100 for Immunofluorescence [IF], ab92547, Abcam), β-catenin (1:100 for IHC, 1:1000 for immunoblot; 51067-2-AP, Proteintech), T cell factor 4 [TCF-4] (1:1000, ab217668, Abcam), c-Myc (1:1000, ab32072, Abcam), Ki67 (1:100, ab15580, Abcam), and GAPDH (1:1,500; 5174, cell signaling technology [CST] Biological Reagents Co, Ltd.).

Quantitative Real-Time Polymerase Chain Reaction

RNAs were extracted from tissues and cultured cells using TRIzol (Invitrogen) as illustrated by manufacture protocol. RNAs were subsequently transcribed into complementary DNA through reverse transcription kits (Roche). Quantitative polymerase chain reaction (PCR) was conducted by ABI 7500 real-time PCR system (Applied Biosystems). Primers used are listed in Table 1.
Table 1.

Primers.

PrimersSequences
PYGB forward5′-CCAGACTGCTTCAAGGACATCG-3′
PYGB reverse5′-GTTCCTGATGACCTTCTTGGTCC-3′
β-Catenin forward5′-TCGCCAGGATGATCCCAGC-3′
β-Catenin reverse5′-GCCCATCCATGAGGTCCTG-3′
TCF-4 forward5′-AAGCTTATGCATCACCAACAGCGAATG-3′
TCF-4 reverse5′-CTCGAGTCACATCTGTCCCATGTGATTC-3′
c-Myc forward5′-CGTCCTGGGAAGGGAGAT-3′
c-Myc reverse5′-CGCTGCTATGGGCAAAGT-3′
GAPDH forward5′-CACCCACTCCTCCACCTTTG-3′
GAPDH reverse5′-CCACCACCCTGTTGCTGTAG-3′

Abbreviation: PYGB, brain-type glycogen phosphorylase.

Primers. Abbreviation: PYGB, brain-type glycogen phosphorylase.

Immunoblot

Protein samples were isolated and subjected to sodium dodecyl sulfate-polyacrylamide gel electrophoresis (10-30 μg/lane), then transferred onto polyvinylidene difluoride membrane (EMD Millipore). The membrane were blocked in 5% bovine serum albumin (BSA) and immersed into indicated primary antibodies, followed by 1 hour incubation with horseradish peroxidase-conjugated labelled secondary antibodies (Beyotime Biotechnology Institute). Protein bands detected by ECL kit (Thermo Fisher Scientific, Inc).

Immunofluorescent Staining

To detect EMT markers intensity in human GC cell lines, cells were fixed in 4% paraformaldehyde (PFA), and then blocked in 5% BSA in phosphate buffered saline with Tween-20 (PBST). E-cadherin and Vimentin antibodies were then applied to incubate with cells at 4 °C overnight. After rinsing in PBST for 3 times, secondary antibodies conjugated with Alexa 488 or 594 (Invitrogen) were added. 4′,6-Diamidino-2-phenylindole was used to counterstain cell nuclei (Vector Laboratories, Inc). Images were obtained using fluorescent microscope (LSM700, Zeiss model).

Immunohistochemistry and Hemotoxylin and Eosin Staining

Briefly, specimens were fixed in 4% PFA and cut into 5 µm slices. Tissues were stained with primary antibody targeting PYGB, Ki67, β-catenin, and E-cadherin or hemotoxylin and eosin (HE) for histological analysis. And after washing, sections were incubated with secondary antibody for 1 hour and stained with diaminobenzidine. Sections staining score for PYGB is described as follows: the percentage of positively staining in each section scored as 1 (< 25% staining of tumor cells), 2 (25%-50%), 3 (50%-75%), or 4 (>75%). In addition, staining intensity was classified as 0 (negative), 1 (weak), 2 (intermediate), or 3 (strong). Final score was calculated as the intensity score plus the percentage values. Samples scored between 3 and 6 were considered PYGB high expression. Final score <3 was considered PYGB low expression.

Colony Formation Assay

Gastric cells were seeded into a 6-well plate ∼400 cells per well and cultured for ∼2 weeks. Cells were then fixed and stained with crystal violet (Sigma). Cell colony number was then calculated manually.

Cell Counting Kit-8 Assay

Control or PYGB knockdown AGS and MKN45 cells were plated into 96-well plates and maintained for 48 hours. Then cells were supplied with Cell Counting Kit-8 (CCK-8) solutions according to manufacturer protocol. The absorbance was measured by a microplate reader at 450 nm wavelength.

Transwell Assay

Briefly, ∼3 × 104 AGS and MKN45 cells were maintained in 20% matrigel in serum-free medium. Cells were seeded into the upper chambers with filters (8.0 µm membrane pores), whereas complete medium with 10% fetal bovine serum (FBS) was added into the lower chamber. Cells tended to migrate into the lower chambers due to FBS; 36 hours postseeding, to quantify the cell number in the lower chambers, cells were fixed and stained with 0.5% crystal violet, and cell numbers were counted manually.

Wound-Healing Assay

Cells were seeded in 6-well plates and cultured until 90% confluence. Mechanical lesions were created using a sterile 200 µL tip. Cells were immersed in complete medium to recover the lesion after phosphate buffered saline wash. Images were obtained by an inverted microscope at 0 hour and 24 hours postwound generation. The width of lesion was measured and analyzed.

Tumor Growth Assays

All mice experiments received full approval from the Animal Ethics Committee of our hospital. To establish the xenograft model, 5 × 106 of AGS cells with or without PYGB stable depletion were subcutaneously implanted into male BALB/c nude mice (5-6 weeks old, Beijing, China). A total of 6 mice were used in each group. Tumor volume was monitored every 3 day; 18 days postinjection, tumors were isolated, weighted, and photographed. For migration assessment, mice were killed 5 weeks postinjection and lung tissues were then excised and analyzed.

Statistics

GraphPad Prism 6 was utilized for all statistical analyses. Results displayed were generated from 3 independent experiments and shown as the mean ± standard deviation. Student t test was used for significant study. Data are shown as mean ± SD, and P value < .05 was considered statistically significant in this study (*P < .05; **P < .01, and ***P < .001).

Results

PYGB Was Upregulated in Human GC

To explore PYGB possible involvement in the human GC, we firstly investigated relative PYGB expression levels in 57 paired GC tissues and adjacent normal tissues via quantitative real-time polymerase chain reaction (qRT-PCR), immunoblot, and IHC assays. Interestingly, we observed PYGB was highly expressed in GC tissues compared with that in nontumor tissues (Figure 1A). Immunoblot and IHC assays further confirmed the elevated PYGB level in GC tissues (Figure 1B and C). In addition, IHC assay depicted PYGB was localized in cytoplasm in GC cells.
Figure 1.

Brain-type glycogen phosphorylase was upregulated in human gastric cancer. A, Brain-type glycogen phosphorylase level in GC tissues and in normal tissues were analyzed by qRT-PCR (57 pairs of gastric cancer and nontumor tissues). B, Brain-type glycogen phosphorylase protein levels were determined by immunoblot. C, Immunohistochemistry assay detected upregulated PYGB expression level in GC tissue samples. D, Correlation between overall survival rates and PYGB expression level. E, Relative PYGB expression level in several gastric cancer cell line: HGC-27, SNU-1, AGS, and MKN45, and normal gastric epithelia cell line GES-1 quantified by qRT-PCR (mean ± SD, **P < .01). GC indicates gastric cancer; PYGB, brain-type glycogen phosphorylase; qRT-PCR, quantitative real-time polymerase chain reaction; SD, standard deviation.

Brain-type glycogen phosphorylase was upregulated in human gastric cancer. A, Brain-type glycogen phosphorylase level in GC tissues and in normal tissues were analyzed by qRT-PCR (57 pairs of gastric cancer and nontumor tissues). B, Brain-type glycogen phosphorylase protein levels were determined by immunoblot. C, Immunohistochemistry assay detected upregulated PYGB expression level in GC tissue samples. D, Correlation between overall survival rates and PYGB expression level. E, Relative PYGB expression level in several gastric cancer cell line: HGC-27, SNU-1, AGS, and MKN45, and normal gastric epithelia cell line GES-1 quantified by qRT-PCR (mean ± SD, **P < .01). GC indicates gastric cancer; PYGB, brain-type glycogen phosphorylase; qRT-PCR, quantitative real-time polymerase chain reaction; SD, standard deviation. In consideration of the different PYGB expressions in GC tissues, patients were separated into 2 groups: high PYGB level and low PYGB level (Figure 1C and Table 2). The χ2 test revealed that high PYGB expression level in patients with GC was correlated with a lower overall survival rates (*P = .0289; Figure 1D). Furthermore, we analyzed the clinical association between PYGB levels in GC tissues and clinicopathological features. We assessed patient age, gender, tumor size, lymph node involvement (LNI), tumor, node, metastasis (TNM) stage, Lauren histotype, and Helicobacter pylori infection, respectively. We found PYGB expression level was significantly associated with tumor size (**P = .005), LNI (*P = .025), and TNM stage (**P = .005) in patients with GC (Table 2). The PYGB protein was also highly expressed in GC cell lines HGC-27, SNU-1, AGS, and MKN45 compared with that in normal gastric epithelia cell line GES-1 cells (Figure 1E). Consistent with results in patients’ tissues, increased PYGB level was observed in GC cell lines, especially in AGS and MKN45 cells. Together, these results suggested potential oncogenic role of PYGB in GC.
Table 2.

Relationship Between PYGB and Clinicopathological Parameters.

ParametersNumber of patientsPYGB expression P value
Low (<median)High (≥median)
Number572829
Age (years)
 <60281315.689
 ≥ 60291514
Gender
 Male311615.681
 Female261214
Tumor size
 <3 cm302010.005a
 ≥3 cm27819
Lymph node involvement
 Absent (pN0)26179.025a
 Present(pN+)311120
TNM stage
 I-II28199.005a
 III-IV29920
Lauren histotype
 Intestinal301416.696
 Diffuse271413
HP infection
 Yes321814.223
 No251015

Abbreviations: HP, Helicobacter pylori; TNM, tumor, node, metastasis; PYGB, brain-type glycogen phosphorylase.

a P < 0.05.

Relationship Between PYGB and Clinicopathological Parameters. Abbreviations: HP, Helicobacter pylori; TNM, tumor, node, metastasis; PYGB, brain-type glycogen phosphorylase. a P < 0.05.

PYGB Knockdown Suppressed Proliferation of GC Cells

To further examine the role of PYGB in the GC proliferation, we used PYGB shRNAs to knockdown PYGB level in GC cells, such as AGS and MKN45 cells. In order to ablate PYGB expression, we selected 2 effective PYGB shRNA sequences and transfected AGS and MKN45 cells. We detected reduced PYGB expression using quantitative PCR assays (Figure 2A). We performed colony formation assays and CCK-8 assay to assess the impacts of PYGB knockdown on cell proliferation. Brain-type glycogen phosphorylase shRNAs significantly inhibited AGS and MKN45 cell proliferation as shown in colony formation and the optical density value at 490 nm wavelength through colony formation and CCK-8 assays, respectively (Figure 2B and C).
Figure 2.

PYGB knockdown suppressed proliferation of gastric cancer cell. quantitative real-time polymerase chain reaction analysis (A) detected reduction of PYGB in AGS and MKN45 cells with PYGB shRNA transfection. Cell Counting Kit-8 assays (B) and colony formation (C) assays were conducted to evaluate the proliferative ability in AGS and MKN45 cells without or with PYGB knockdown. (mean ± SD, **P < .01). PYGB indicates brain-type glycogen phosphorylase; SD, standard deviation; shRNA, short hairpin RNA.

PYGB knockdown suppressed proliferation of gastric cancer cell. quantitative real-time polymerase chain reaction analysis (A) detected reduction of PYGB in AGS and MKN45 cells with PYGB shRNA transfection. Cell Counting Kit-8 assays (B) and colony formation (C) assays were conducted to evaluate the proliferative ability in AGS and MKN45 cells without or with PYGB knockdown. (mean ± SD, **P < .01). PYGB indicates brain-type glycogen phosphorylase; SD, standard deviation; shRNA, short hairpin RNA.

PYGB Knockdown Inhibited EMT in GC Cells

Epithelial–mesenchymal transformation is a critical process in cancer progression, which results in the acquisition of invasive and metastatic properties. To investigate the effects of PYGB on EMT in GC cells, we examined the expression of EMT-associated markers in both AGS and MKN45 cells using immunofluorescence. Notably, PYGB knockdown led to the upregulation of epithelial cell markers E-cadherin level and downregulation of mesenchymal markers Vimentin in PYGB-depleted cells (Figure 3). Notably, E-catenin was strongly higher in the cell membrane of PYGB-depleted cells than that in control cells (Figure 3). As shown in immunofluorescent staining, loss of PYGB inhibited EMT in GC cells.
Figure 3.

PYGB knockdown inhibited EMT in gastric cancer cells. A, Immunofluorescence assay demonstrated inhibited EMT in gastric cancer in PYGB depleted AGS and MKN45 cells. EMT markers E-cadherin and Vimentin were stained in gastric cancer cells. (Scale bar: 10 μm). EMT indicates epithelial–mesenchymal transformation; PYGB, brain-type glycogen phosphorylase.

PYGB knockdown inhibited EMT in gastric cancer cells. A, Immunofluorescence assay demonstrated inhibited EMT in gastric cancer in PYGB depleted AGS and MKN45 cells. EMT markers E-cadherin and Vimentin were stained in gastric cancer cells. (Scale bar: 10 μm). EMT indicates epithelial–mesenchymal transformation; PYGB, brain-type glycogen phosphorylase.

PYGB Promoted the Migration and Invasion of GC Cells

Based on our previous results, we further explored PYGB effects on cell migration and invasion of GC cells. Wound healing assays and transwell assays were performed. As indicated in Figure 4A, the wound was wider in PYGB-silencing cells (nonsense control [NC] versus knock down [KD]) both in AGS and MKN45 cells confirming the repression effects of PYGB ablation on cell migration. Moreover, through transwell assay, we found cell density was reduced upon PYGB ablation, suggesting PYGB depletion significantly blocked cell invasion (Figure 4B). Taken together, our results demonstrated the critical role of PYGB in GC cell migration and invasion.
Figure 4.

PYGB promoted the migration and invasion of gastric cancer cells. A and B, Scratch assays (A) and transwell assays (B) were performed to detect cell migration and cell invasion in control or PYGB knockdown AGS and MKN45 cells. (Scale bar: 200 µm in panel A; 100 µm in panel B; mean ± SD, *P < .05; **P < .01). PYGB indicates brain-type glycogen phosphorylase.

PYGB promoted the migration and invasion of gastric cancer cells. A and B, Scratch assays (A) and transwell assays (B) were performed to detect cell migration and cell invasion in control or PYGB knockdown AGS and MKN45 cells. (Scale bar: 200 µm in panel A; 100 µm in panel B; mean ± SD, *P < .05; **P < .01). PYGB indicates brain-type glycogen phosphorylase.

PYGB Regulated GC Progression via Wnt/β-Catenin Signaling Pathway

To further clarify the mechanism underlying PYGB-mediated GC progression, we screened possible signaling pathways related to PYGB regulation in cancer. Interestingly, previous studies reported PYGB-regulated Wnt/β-catenin signaling promoted ovarian cancer progression,[25] we hypothesized PYGB might also regulate GC through Wnt/β-catenin signaling. We then validated the association between PYGB and Wnt/β-catenin signaling pathway using AGS and MKN45 cells transiently overexpressed control or PYGB shRNA. As demonstrated in Figure 5A, PYGB ablation remarkably reduced β-catenin, TCF-4, and c-Myc levels assessed by qRT-PCR. Immunoblot assay also depicted decreased β-catenin, TCF-4, and c-Myc protein levels in PYGB knockdown cells (Figure 5B). Taken together, these findings suggested PYGB modulated GC progression by activating Wnt/β-catenin signaling pathway.
Figure 5.

PYGB regulated gastric cancer progression via Wnt/β-catenin signaling pathway. Quantitative real-time polymerase chain reaction (A) analysis and immunoblot (B) detected reduced β-catenin, TCF-4, and c-Myc expression level in PYGB knockdown AGS and MKN45 cells (mean ± SD, *P < .05; **P < .01). PYGB indicates brain-type glycogen phosphorylase.

PYGB regulated gastric cancer progression via Wnt/β-catenin signaling pathway. Quantitative real-time polymerase chain reaction (A) analysis and immunoblot (B) detected reduced β-catenin, TCF-4, and c-Myc expression level in PYGB knockdown AGS and MKN45 cells (mean ± SD, *P < .05; **P < .01). PYGB indicates brain-type glycogen phosphorylase.

PYGB Facilitated Tumor Growth and Metastasis of GC Cells In Vivo

Given we observed that PYGB silencing inhibited proliferation, migration, and invasion of GC cells, we further detected the potential functions of PYGB in gastric tumor growth in vivo. AGS and MKN45 cells expressing PYGB shRNA were selected for PYGB stable depletion cell line using puromycin. Then stable cell lines (control and PYGB shRNA) were administrated into nude mice, respectively. Tumor growth in these 2 groups were monitored every 3 day: 18 days postinjection, tumors were isolated, weighted, and photographed (Figure 6A). And tumor growth curves were analyzed. We noticed obviously smaller tumor volume in PYGB ablation mice than that in control mice (Figure 6A). And the tumor weight in PYGB-depleted group was lighter. The IHC assay displayed decreased density of PYGB, Ki67, and β-catenin, and elevated E-cadherin level, which were consistent with our former assays (Figure 6B).
Figure 6.

Brain-type glycogen phosphorylase facilitates tumor growth and metastasis of gastric cancer cells in vivo. A, Representive image of tumor and tumor growth curve in control or PYGB depleted AGS cells group were shown. Tumor volume and weight displayed relatively smaller tumor in PYGB depleted group. B, PYGB, Ki67, E-cadherin, and β-catenin expression levels in excised xenograft tumor tissues in each group were analyzed by IHC analysis. C, Lung tissues in AGS cells infected with control or PYGB reduction were isolated, photographed, and calculated. And HE staining was conducted in each group (mean ± SD, **P < .01). HE indicates hemotoxylin and eosin; IHC, immunohistochemistry; PYGB, brain-type glycogen phosphorylase; SD, standard deviation.

Brain-type glycogen phosphorylase facilitates tumor growth and metastasis of gastric cancer cells in vivo. A, Representive image of tumor and tumor growth curve in control or PYGB depleted AGS cells group were shown. Tumor volume and weight displayed relatively smaller tumor in PYGB depleted group. B, PYGB, Ki67, E-cadherin, and β-catenin expression levels in excised xenograft tumor tissues in each group were analyzed by IHC analysis. C, Lung tissues in AGS cells infected with control or PYGB reduction were isolated, photographed, and calculated. And HE staining was conducted in each group (mean ± SD, **P < .01). HE indicates hemotoxylin and eosin; IHC, immunohistochemistry; PYGB, brain-type glycogen phosphorylase; SD, standard deviation. Furthermore, we assessed metastasis ability in each group. Lung tissues from 2 groups were isolated, photographed, and stained with HE. We observed decreased lung metastasis in PYGB-depleted group (Figure 6C). In conclusion, data obtained in vivo suggested PYGB facilitated tumor growth and metastasis of GC cells.

PYGB Altered EMT of GC Cells Through WNT Pathway

We further investigated whether PYGB knockdown could induce changes in cell morphology and EMT through an inverted microscope. Interestingly, our data indicated that PYGB knockdown reduced intercellular mass and weakened the spindle morphology, confirming the effects of PYGB on EMT in GC cells (Figure 7A). Additionally, we further detected whether WNT signaling pathway regulated PYGB-dependent EMT. A specific inhibitor targeted WNT pathway, FH535, was applied to GC cells under PYGB depletion, and expression levels of proteins including β-catenin, c-Myc, proliferating cell nuclear antigen, E-cadherin, and matrix metallopeptidase 2 were detected. Consistently with the previous findings, we found FH535 treatment rescued PYGB-mediated changes of EMT biomarkers (Figure 7B), suggesting PYGB regulated EMT of GC cells via WNT pathway.
Figure 7.

Brain-type glycogen phosphorylase regulated EMT of gastric cancer cells through WNT pathway. A, The morphological differences of gastric cancer cells between the control group and the PYGB knockdown group were obtained by inverted microscope. Scale bar indicates 100 μm. B, The expression of the indicated proteins upon the treatment of control shRNA, PYGB shRNA, and the combination of PYGB shRNA and FH535 of AGS and MKN45 cells was detected through immunoblot assays. Relative expression was quantified (mean ± SD, ****P < .001). EMT indicates epithelial–mesenchymal transformation; PYGB, brain-type glycogen phosphorylase; SD, standard deviation; shRNA, short hairpin RNA.

Brain-type glycogen phosphorylase regulated EMT of gastric cancer cells through WNT pathway. A, The morphological differences of gastric cancer cells between the control group and the PYGB knockdown group were obtained by inverted microscope. Scale bar indicates 100 μm. B, The expression of the indicated proteins upon the treatment of control shRNA, PYGB shRNA, and the combination of PYGB shRNA and FH535 of AGS and MKN45 cells was detected through immunoblot assays. Relative expression was quantified (mean ± SD, ****P < .001). EMT indicates epithelial–mesenchymal transformation; PYGB, brain-type glycogen phosphorylase; SD, standard deviation; shRNA, short hairpin RNA.

Discussion

Gastric cancer exhibits a high incidence and poor prognosis in Eastern Asian countries, particularly in China.[26] The high distal metastasis and chemotherapy resistance result in high mortality of patients with GC.[3,27] It is therefore urgently to develop novel therapeutic strategies and identify new pharmaceutic targets. In decades, a series of breakthroughs have been achieved in the field of nanomaterial development for GC.[28,29] In addition, considerable efforts have been devoted to targeted therapy with the aim to improve the prognosis. Importantly, in this study, we observed significantly elevated expression of a glycogen phosphorylase named PYGB in human GC tissues at messenger RNA and protein levels. According to clinical-pathological analysis of patients with GC, we further found the correlation between tumor size, LNI, TNM stage, and PYGB expression levels, indicating PYGB might be considered as a novel therapeutic target for the treatment of GC. Through a series of in vitro assays, we discovered PYGB affected the proliferation, migration, invasion, and EMT of GCs, suggesting the influence on GC progression. Similar to our findings, multiple studies have demonstrated the involvement of PYGB in cancer progression and metastasis.[14,23-24] Breast cancers utilize hypoxic glycogen stores via PYGB to stimulate metastatic phenotypes.[14] In prostate cancer, PYGB depletion inhibited tumor growth and stimulated the apoptosis of cancer cells.[9] Brain-type glycogen phosphorylase small interfering RNA suppressed the cell proliferation in osteosarcoma.[12] These studies, together with our findings, confirmed the universal role of PYGB in progression of various types of cancers. However, the precise mechanisms remained unclear. Previous studies reported PYGB knockdown contributed to the apoptosis of prostate cancer cells by mediating cleaved-poly (ADP-ribose) polymerase, cleaved-caspase-3, Bax, and Bcl-2 expression levels.[9] Another study also reported PYGB could suppress ROS production and further inhibiting the apoptosis and necrosis in E coli cells.[12] In this study, we investigated a series of subcellular events caused by PYGB depletion. In the future study, we should further clarify whether PYGB affected the apoptosis of prostate cancer cells as well as investigate the influence of PYGB on ROS production in GC cells. Here, we observed PYGB regulated progression of GC via Wnt/β-catenin pathway. Whereas in prostate cancer, PYGB was reported to regulate multiple cellular processes via NF-κB/Nrf2 pathway.[17] How a glycogen phosphorylase, PYGB, mediates cancer progression and metastasis via different signaling pathways also requires further study. Given the important role of PYGB in metabolism,[8,16,30] we speculated PYGB downregulation led to abnormal metabolism of tumor cells and thus inhibiting the progression of GC. Our hypothesis should be further explored in the future. In summary, we found significant elevated PYGB levels in human GC tissues. We discovered PYGB expression level was positively correlated with clinical characteristics including tumor size, LNI, and TNM stage. Our findings further indicated PYGB modulated proliferation, migration, invasion, and EMT of GC cells via Wnt/β-catenin signaling pathway in vitro and promoted tumor growth of GC cells in mice. These findings shed light on PYGB as a novel promising therapeutic target for deciphering pathogenesis of GC, providing new insights into development of new strategies in diagnosis and treatment from bench to clinic.
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1.  Identification of shared and disease-specific host gene-microbiome associations across human diseases using multi-omic integration.

Authors:  Sambhawa Priya; Michael B Burns; Tonya Ward; Ruben A T Mars; Beth Adamowicz; Eric F Lock; Purna C Kashyap; Dan Knights; Ran Blekhman
Journal:  Nat Microbiol       Date:  2022-05-16       Impact factor: 30.964

2.  Liver glycogen phosphorylase is upregulated in glioblastoma and provides a metabolic vulnerability to high dose radiation.

Authors:  Christos E Zois; Anne M Hendriks; Syed Haider; Elisabete Pires; Esther Bridges; Dimitra Kalamida; Dimitrios Voukantsis; B Christoffer Lagerholm; Rudolf S N Fehrmann; Wilfred F A den Dunnen; Andrei I Tarasov; Otto Baba; John Morris; Francesca M Buffa; James S O McCullagh; Mathilde Jalving; Adrian L Harris
Journal:  Cell Death Dis       Date:  2022-06-28       Impact factor: 9.685

3.  Analysis of the expression, function and signaling of glycogen phosphorylase isoforms in hepatocellular carcinoma.

Authors:  Lingyu Jiang; Shuyan Liu; Tingzhi Deng; Yang Yang; Yin Zhang
Journal:  Oncol Lett       Date:  2022-06-07       Impact factor: 3.111

4.  A Proteomic Platform Unveils the Brain Glycogen Phosphorylase as a Potential Therapeutic Target for Glioblastoma Multiforme.

Authors:  Giusy Ferraro; Matteo Mozzicafreddo; Roberta Ettari; Lorenzo Corsi; Maria Chiara Monti
Journal:  Int J Mol Sci       Date:  2022-07-25       Impact factor: 6.208

5.  Identification and validation of a novel glycolysis-related gene signature for predicting the prognosis in ovarian cancer.

Authors:  Jing Yu; Ting-Ting Liu; Lei-Lei Liang; Jing Liu; Hong-Qing Cai; Jia Zeng; Tian-Tian Wang; Jian Li; Lin Xiu; Ning Li; Ling-Ying Wu
Journal:  Cancer Cell Int       Date:  2021-07-06       Impact factor: 5.722

6.  Identification of a glycolysis-related gene signature for survival prediction of ovarian cancer patients.

Authors:  Dai Zhang; Yiche Li; Si Yang; Meng Wang; Jia Yao; Yi Zheng; Yujiao Deng; Na Li; Bajin Wei; Ying Wu; Zhen Zhai; Zhijun Dai; Huafeng Kang
Journal:  Cancer Med       Date:  2021-10-05       Impact factor: 4.452

  6 in total

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