Literature DB >> 27682863

Chemokine CXCL1 may serve as a potential molecular target for hepatocellular carcinoma.

Ke-Qi Han1, Hui Han1, Xue-Qun He1, Lei Wang1, Xiao-Dong Guo1, Xue-Ming Zhang1, Jie Chen1, Quan-Gang Zhu1, Hua Nian1, Xiao-Feng Zhai2, Ma-Wei Jiang3.   

Abstract

The purpose of this study was to screen for changes in chemokine and chemokine-related genes that are expressed in hepatocellular carcinoma (HCC) as potential markers of HCC progression. Total RNA was extracted from tumor and peritumor tissues from mice with HCC and analyzed using a PCR microarray comprising 98 genes. Changes in gene expression of threefold or more were screened and subsequently confirmed by immunohistochemical analyses and western blotting. Furthermore, whether chemokine knockdown by RNA interference (RNAi) could significantly suppress tumor growth in vivo was also evaluated. Finally, total serum samples were collected from HCC patients with HBV/cirrhosis (n = 16) or liver cirrhosis (n = 16) and from healthy controls (n = 16). The serum mRNA and protein expression levels of CXCL1 in primary liver cancer patients were detected by qRT-PCR and western blot analysis, respectively. Several genes were up-regulated in tumor tissues during the progression period, including CXCL1, CXCL2, CXCL3, and IL-1β, while CXCR1 expression was down-regulated. CBRH-7919 cells carrying CXCL1 siRNA resulted in decreased tumor growth in nude mice. The differences in serum CXCL1 mRNA and protein levels among the HCC, hepatic sclerosis (HS), and control groups were significant (P < 0.001). The mRNA and protein levels of CXCL1 in the HCC group were up-regulated compared with the HS group or the control group (P < 0.001). Several chemokine genes were identified that might play important roles in the tumor microenvironment of HCC. These results provide new insights into human HCC and may ultimately facilitate early HCC diagnosis and lead to the discovery of innovative therapeutic approaches for HCC.
© 2016 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

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Keywords:  Chemokines; PCR array; gene expression profile; hepatocellular carcinoma; siRNA

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Year:  2016        PMID: 27682863      PMCID: PMC5083740          DOI: 10.1002/cam4.843

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


Introduction

Hepatocellular carcinoma (HCC) is the fifth most common cancer and the third leading cause of cancer‐related mortality worldwide 1. The incidence of HCC varies considerably by geographic area, which also accounts for differences in major causative and risk factors. HCC is especially common in Asia due to the high prevalence of hepatitis B and C viruses (HBV and HCV) and the intake of dietary aflatoxin. The majority of HCC cases in China are caused by HBV infection 2, 3, 4. Recent studies have shown that inflammation is one of the main characteristics of HCC. Inflammation is mediated in part by chemokines, which is one of the several important factors in the tumor microenvironment. The tumor microenvironment promotes tumor cell proliferation, survival, and migration and consists primarily of cancer cells, tumor‐associated fibroblasts, and chemokines 5, 6, 7, 8. Chemokines are small soluble molecular proteins that can induce the chemotaxis of multiple cell types, including tumor cells, leukocytes, and endothelial cells. Chemokines and chemokine receptors are divided into the CXC, CC, C, and CX3C families according to the positions of their two conserved N‐terminal cysteine residues. Chemokines play a crucial role in tumor progression, angiogenesis, invasion, and metastasis, and HCC cells express a number of chemokines and chemokine receptors, including CXCL12CXCR4, CX3CL1CX3CR1, and CCL20CCR6 8, 9, 10. However, little is known about the complex functions and possible signaling pathways related to chemokines in HCC patients 9, 10, 11. In this study, we evaluated chemokine and chemokine receptor expression in tumor and peritumor tissues from nude mice that were subcutaneously injected with liver cancer cells. We found that the expression of several chemokines changed over the course of tumor progression, including CXCL1. We evaluated whether knockdown of CXCL1 by RNA interference (RNAi) could suppress tumor growth in vivo. We also collected total serum samples from HCC patients with HBV/cirrhosis (n = 16) or liver cirrhosis (n = 16) and from healthy controls (n = 16), and measured the mRNA and protein expression of CXCL1 by qRT‐PCR and western blot analysis, respectively.

Material and Methods

Cell cultures

The human HCC cell line CBRH‐7919 (Chinese Academy of Science, Shanghai, China) was used in this study. The cells were cultured at 37°C in a humidified atmosphere with 5% CO2 in Dulbecco's modified eagle's medium (DMEM, Gibco BRL, Rockville, MD) supplemented with 10% fetal bovine serum (Life Technologies, Carlsbad, CA), 100 mg/mL penicillin G, and 50 μg/mL streptomycin (Life Technologies).

Animal model

Male Balb/c nude mice were obtained from the Laboratory Animal Service Center of the Medical College of Shanghai. All mice were maintained under specific pathogen‐free conditions and had free access to sterilized food and autoclaved water. The experimental procedures were approved by the Animal Ethics Committee of the Medical College of Shanghai. Male Balb/c nude mice (aged 4 weeks) weighing 15–18 g were injected subcutaneously with 0.1 mL of a CBRH‐7919 cell suspension (1 × 107 cells) using a 21‐gauge needle. Xenograft tumor transplantations were performed using 6‐week‐old athymic male Balb/c nude mice weighing 18–22 g. The mice were killed after 2 weeks, and their tumors were excised and measured. A portion of the tumor tissue was fixed in 10% formalin for subsequent histological examination; the remaining tissue was snap frozen in liquid nitrogen and stored at −70°C for the molecular studies.

Collection and preparation of serum samples

With patient consent and approval by the ethical committee, serum samples were obtained from the Department of Oncology, Gastroenterology and Physical examination center of Shanghai Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, China. The three groups contained 16 patients with hepatitis B‐related HCC (the presence of HBsAg, HBeAg, and HBV DNA; mean age of 68 years), 16 patients with liver cirrhosis (mean age of 67 years), and 16 healthy donors (mean age of 68 years). All serum samples were separated and divided into 10‐mL aliquots and stored at −80°C until analysis.

Microarray

HCC tissue samples were dissolved in 1 mL of TRIzol reagent (Invitrogen, Carlsbad, CA) and homogenized. The sample volumes did not exceed 10% of the TRIzol reagent volume used for homogenization. The homogenized samples were incubated for 5 min at 15–30°C to completely dissociate the nucleoprotein complexes. The samples were then mixed with 0.2 mL of chloroform, incubated for 2–3 min at 15–30°C, and centrifuged at 12,000g for 15 min at 4°C. The RNA in the aqueous phase was then transferred to a new RNA‐free tube and mixed with 0.5 mL of isopropyl alcohol. The samples were incubated for another 10 min at 15–30°C and then centrifuged at 12,000g for 10 min at 4°C. The resulting supernatant was removed, and the RNA pellet was washed with 75% ethanol, redissolved in RNase‐free water, and stored at −70°C. All RNA samples used in this study were treated with MinElute™ (Qiagen, Austin, TX) to remove residual DNA. IL‐4, IL‐6, and CXCL1 RNA expression were analyzed using an RNA chip and a Model 2100 bioanalyzer (Agilent Technologies, Santa Clara, CA) using a 260/280 ratio of 1.8–2.0.

Histologic evaluation

Formalin‐fixed tumor tissues were embedded in paraffin and cut into 4‐μm sections. The sections were then stained with hematoxylin and eosin (HE) as previously described [12].

Immunohistochemistry

Paraffin blocks were cut into 6‐μm sections and placed on Superfrost Plus Microslides. The sections were deparaffinized using citric acid buffer (pH 6.0, 15 min at 95°C). The slides were treated with 3% hydrogen peroxide in methanol to block endogenous peroxidase activity and then incubated with 1% bovine serum albumin (BSA) for 20 min. Next, the slides were incubated overnight at 4°C with anti‐human primary antibodies against the following chemokines: CXCL1 (Ab86436; goat polyclonal, 1/250 diluted in 1% BSA), CXCL2 (Ab25130; goat polyclonal, 1/250 diluted in 1% BSA), CXCL3 (Ab10064; goat polyclonal, 1/250 diluted in 1% BSA), CXCR1 (Ab60254; goat polyclonal, 1/250 diluted in 1% BSA). All primary antibodies were obtained from Santa Cruz Biotechnology (Santa Cruz, CA). The slides were then incubated with 2 μg/mL biotinylated anti‐goat IgG secondary antibody (Vector Laboratories, Burlingame, CA) for 40 min at room temperature. The sections were stained using the Standard Ultra‐Sensitive ABC Peroxidase Staining Kit (Pierce/Thermo Fisher Scientific, San Jose, CA) and 3, 3′‐ diaminobenzidine (Vector Laboratories), counterstained with hematoxylin, dehydrated, and then mounted with a coverslip.

Quantitative real‐time PCR (qRT‐PCR)

Total RNA was isolated with TRIzol (Invitrogen) according to the manufacturers' protocol. The quality of the RNA was assessed using an Agilent 2100 bioanalyzer (Agilent Technologies), and the concentration was measured using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific Inc., Wilmington, DE). The RNA was converted to cDNA using the RevertAid First Strand cDNA Synthesis Kit (Thermo Fisher Scientific, Inc., MA). The level of CXCL1 mRNA expression was evaluated by qRT‐PCR. The following primers were used for qRT‐PCR: CXCL1, 5‐'TAGAAGGTGTTGAGCGGGAAG‐3′ (sense) and 5′‐TGAGACGAGAAGGAGCATTGG‐3′ (antisense); GAPDH, 5′‐GTCGGTGTGAACGGATTTG‐3′ (sense) and 5′‐TCCCATTCTCAGCCTTGAC‐3′ (antisense). qRT‐PCR was performed using the DyNAmo ColorFlash SYBR Green qPCR Kit with an ABI 7300 system (Applied Biosystems, Foster City, CA).

RNA interference

The siRNAs against CXCL1 were designed and ordered from Shanghai GenePharma Co., Ltd. CBRH‐7919 cells were transfected with the siRNAs using Lipofectamine RNAi Max (Invitrogen) according to the manufacturer's protocol. The cells were incubated for 48 h, and the knockdown efficiency was determined by both qRT‐PCR and western blot analysis. The siRNA with the sequence 5′‐GTCTCAGGACAGAGAAGTT‐3′ showed the most efficient knockdown of CXCL1 and was used in the present analyses.

Western blotting

HCC cell extracts from tumor and peritumor tissues were analyzed using antibodies against CXCL1 (Ab86436; Abcam Inc., Cambridge, MA, USA), CXCL2 (Ab25130; Abcam Inc., Cambridge, MA, USA), CXCL3 (Ab10064; Abcam Inc., Cambridge, MA, USA), and their chemokine receptor CXCR1 (Ab60254; Abcam Inc., Cambridge, MA, USA). Equal amounts of protein were electrophoresed in sodium dodecyl sulfatepolyacrylamide gels, and β‐actin was used as a loading control. Immunoreactive bands were developed on an X‐ray film using an ECL Western Blotting Analysis System (Amersham, Buckinghamshire, UK) according to the manufacturer's instructions.

Xenografts in nude mice

Male Balb/c nude mice (4 weeks old, 15–18 g) were ordered from the Laboratory Animal Service Center of the Medical College of Shanghai. The mice were randomly assigned to the experimental or control group (n = 6). CBRH‐7919 cells (2 × 107 cells/mouse) were injected into the left flank of the mice. The tumor sizes were measured using a caliper twice weekly. The tumor volume was calculated according to the following formula: 0.5 × length × width2.

Statistical analyses

The data are summarized as the mean ± SEM (standard error of the mean). All statistical calculations were performed using either Student's t‐tests or Wilcoxon's rank‐sum tests in MedCalc (Mariakerke, Belgium). P < 0.05 was considered statistically significant.

Results

Establishment of an in vivo HCC mouse model with CBRH‐7919 cells

We subcutaneously injected CBRH‐7919 cells into nude mice to establish an in vivo mouse model of HCC. The mice were evaluated for tumor formation every 3 or 4 days. Local tumors were first observed in the subcutaneous abdominal regions of the mice at 7 days after injection. Comparative analyses of the gene profiles of chemokines and chemokine receptors between tumor and peritumor tissues at 1, 2, and 3 weeks, are shown in Figure 1.
Figure 1

Hierarchical clustering analysis and line plots of genes with altered expression in tumor tissues compared with peritumor tissues at 1 week (A), 2 weeks (B), and 3 weeks (C). Expression profiles of chemokine‐associated genes were obtained by PCR microarray. The relative changes in gene expression are represented by colors, with red representing up‐regulation and green representing down‐regulation. Two‐dimensional hierarchical clusters were prepared with GeneSpring 6.1 and Gene Tree View using these gene expression profiles.

Hierarchical clustering analysis and line plots of genes with altered expression in tumor tissues compared with peritumor tissues at 1 week (A), 2 weeks (B), and 3 weeks (C). Expression profiles of chemokine‐associated genes were obtained by PCR microarray. The relative changes in gene expression are represented by colors, with red representing up‐regulation and green representing down‐regulation. Two‐dimensional hierarchical clusters were prepared with GeneSpring 6.1 and Gene Tree View using these gene expression profiles.

Expression levels of chemokine‐related genes in HCC

The expression levels of chemokine‐related genes during HCC progression were evaluated using tumor and peritumor tissues that were freshly isolated from nude mice at 1, 2, and 3 weeks. A chemokine PCR microarray comprising 98 genes was used to analyze the up‐ or down‐regulation of these genes in tumor versus peritumor tissues. We identified several genes that were up‐regulated and one gene that was down‐regulated at least threefold (Fig. 2) in the tumor tissue. Specifically, the chemokine‐related genes, CXCL1, CXCL2, CXCL3, and IL‐1β, were up‐regulated, while CXCR1 was down‐regulated in tumor tissue during the progression of HCC (Tables 1, 2, 3).
Figure 2

CXCL1, CXCL2, CXCL3, and CXCR1 expression in carcinoma cells xenografted into nude mice at 2 weeks. CXCL1, CXCL2, CXCL3, and CXCR1 expression were examined by immunohistochemistry in tumor and peritumor tissues. Intense CXCL1 staining was observed in tumor tissue (B) compared with peritumor tissue (A). Similar patterns were observed for CXCL2 (D, C), CXCL3 (F, E), and CXCR1 (H, G). All images were captured at 200× using a Nikon microscope equipped with a digital camera.

Table 1

Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 3 weeks

Accession no.Gene nameGene symbolFold
A01C5ar1Complement component 5a receptor 18.86
A02Ccbp2Chemokine‐binding protein 215.39
A04Ccl11Chemokine (C‐C motif) ligand 1197.95
A05Ccl12Chemokine (C‐C motif) ligand 124.75
A07Ccl19Chemokine (C‐C motif) ligand 1971.66
A08Ccl2Chemokine (C‐C motif) ligand 225.81
A11Ccl24Chemokine (C‐C motif) ligand 2417.46
B06Ccl6Chemokine (C‐C motif) ligand 620.28
B07Ccl7Chemokine (C‐C motif) ligand 722.47
B08Ccl8Chemokine (C‐C motif) ligand 816.51
B09Ccl9Chemokine (C‐C motif) ligand 920.72
B10Ccr1Chemokine (C‐C motif) receptor 15.20
C01Ccr2Chemokine (C‐C motif) receptor 214.64
C02Ccr3Chemokine (C‐C motif) receptor 314.14
C04Ccr5Chemokine (C‐C motif) receptor 59.77
C05Ccr6Chemokine (C‐C motif) receptor 64.40
C11Cmklr1Chemokine‐like receptor 18.96
D01Cmtm3CKLF‐like MARVEL transmembrane domain containing 328.58
D03Cmtm5CKLF‐like MARVEL transmembrane domain containing 54.14
D04Cmtm6CKLF‐like MARVEL transmembrane domain containing 65.27
D05Cx3 cl1Chemokine (C‐X3‐C motif) ligand 132.58
D07Cxcl1Chemokine (C‐X‐C motif) ligand 123.49
D08Cxcl10Chemokine (C‐X‐C motif) ligand 103.15
D09Cxcl11Chemokine (C‐X‐C motif) ligand 114.84
D10Cxcl12Chemokine (C‐X‐C motif) ligand 12246.94
D12Cxcl14Chemokine (C‐X‐C motif) ligand 14323.14
E04Cxcl3Chemokine (C‐X‐C motif) ligand 312.76
E05Cxcl2Chemokine (C‐X‐C motif) ligand 2458.57
E07Cxcr1Chemokine (C‐X‐C motif) receptor 1−4.18
E09Cxcr3Chemokine (C‐X‐C motif) receptor 312.42
E10Cxcr4Chemokine (C‐X‐C motif) receptor 43.16
E12Cxcr6Chemokine (C‐X‐C motif) receptor 69.26
F01Cxcr7Chemokine (C‐X‐C motif) receptor 73.60
F02DarcDuffy blood group, chemokine receptor68.40
F04Gpr17G protein‐coupled receptor 177.55
F05Hif1aHypoxia‐inducible factor 1, alpha subunit12.83
F07Il16Interleukin 163.96
F08IL‐1betaInterleukin 1 beta10.67
F10Il6Interleukin 687.67
F11ItgamIntegrin alpha M5.51
F12Itgb2Integrin beta 215.70
G02Mapk14Mitogen‐activated protein kinase 146.74
G03Pf4Platelet factor 49.21
G04PpbpProplatelet basic protein14.62
G06Tgfb1Transforming growth factor, beta 112.46
G07Tlr2Toll‐like receptor 28.67
G08Tlr4Toll‐like receptor 410.41
G10TympThymidine phosphorylase6.22
G12Xcr1Chemokine (C motif) receptor 117.78
H02ActbBeta‐2 microglobulin6.14
H03B2 mGlyceraldehyde‐3‐phosphate dehydrogenase41.27
H04GapdhGlucuronidase, beta3.63
Table 2

Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 2 weeks

Accession no.Gene nameGene symbolFold
A04Scya11Chemokine (C‐C motif) ligand 114.35
A06Abcd‐2Chemokine (C‐C motif) ligand 174.10
A07CKb11Chemokine (C‐C motif) ligand 194.04
B08AI323594Chemokine (C‐C motif) ligand 26.46
C05CC‐CKR‐6Chemokine (C‐C motif) receptor 63.88
D05AB030188Chemokine (C‐X3‐C motif) ligand 14.81
D10AI174028Chemokine (C‐X‐C motif) ligand 125.12
D121110031L23RikChemokine (C‐X‐C motif) ligand 1418.70
G12Ccxcr1Chemokine (C motif) receptor 14.76
B03AI323804Chemokine (C‐C motif) ligand 3−6.32
B04AT744.1Chemokine (C‐C motif) ligand 4−3.61
C101810047I05RikChemokine (C‐C motif) receptor‐like 2−8.32
E03Gro2Chemokine (C‐X‐C motif) ligand 2−38.56
E08CD128Chemokine (C‐X‐C motif) receptor 2−45.38
E11CXC‐R5Chemokine (C‐X‐C motif) receptor 5−4.55
F03FPRFormyl peptide receptor 1−3.31
F08IL‐1betaInterleukin 1 beta3.88
G04GurGlucuronidase−5.84
D07Cxcl1Chemokine (C‐X‐C motif) ligand 114.59
E04Cxcl3Chemokine (C‐X‐C motif) ligand 35.366
E05Cxcl2Chemokine (C‐X‐C motif) ligand 2158.00
Table 3

Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 1 week

Accession no.Gene nameGene symbolFold
A01C5aRComplement component 5a receptor 13.61
A02AI464239Chemokine‐binding protein 24.14
A04Scya11Chemokine (C‐C motif) ligand 1115.67
A06Abcd‐2Chemokine (C‐C motif) ligand 175.71
A07CKb11Chemokine (C‐C motif) ligand 1954.42
A10ABCD‐1Chemokine (C‐C motif) ligand 223.24
B03AI323804Chemokine (C‐C motif) ligand 33.50
B04AT744.1Chemokine (C‐C motif) ligand 44.60
B10Cmkbr1Chemokine (C‐C motif) receptor 13.06
C01Cc‐ckr‐2Chemokine (C‐C motif) receptor 24.38
C02CC‐CKR3Chemokine (C‐C motif) receptor 34.12
C04AM4‐7Chemokine (C‐C motif) receptor 53.58
C05CC‐CKR‐6Chemokine (C‐C motif) receptor 63.83
C06CD197Chemokine (C‐C motif) receptor 73.22
D019430096L06RikCKLF‐like MARVEL transmembrane domain containing 33.73
D07Cxcl1Chemokine (C‐X‐C motif) ligand 114.59
D05AB030188Chemokine (C‐X3‐C motif) ligand 14.58
D10Scyb12Chemokine (C‐X‐C motif) ligand 1239.42
D114631412M08RikChemokine (C‐X‐C motif) ligand 1324.15
E020910001K24RikChemokine (C‐X‐C motif) ligand 163.47
E04Cxcl3Chemokine (C‐X‐C motif) ligand 39.56
E05Cxcl2Chemokine (C‐X‐C motif) ligand 2318.07
E08CD128Chemokine (C‐X‐C motif) receptor 23.45
F02FPRChemokine receptor16.50
F03AI853548Formyl peptide receptor 14.36
F05AA959795Hypoxia‐inducible factor 13.82
F06IFN‐gInterferon gamma3.30
F07KIAA4048Interleukin 164.62
F08IL‐1betaInterleukin 1 beta5.67
F09Il‐4Interleukin 45.18
F10Il‐6Interleukin 619.78
F11CD11bIntegrin alpha M3.59
F122E6Integrin beta 26.60
G09TNF‐alphaTumor necrosis factor3.19
G12Ccxcr1Chemokine (C motif) receptor 110.86
H03GapdGlyceraldehyde‐3‐phosphate dehydrogenase3.99
CXCL1, CXCL2, CXCL3, and CXCR1 expression in carcinoma cells xenografted into nude mice at 2 weeks. CXCL1, CXCL2, CXCL3, and CXCR1 expression were examined by immunohistochemistry in tumor and peritumor tissues. Intense CXCL1 staining was observed in tumor tissue (B) compared with peritumor tissue (A). Similar patterns were observed for CXCL2 (D, C), CXCL3 (F, E), and CXCR1 (H, G). All images were captured at 200× using a Nikon microscope equipped with a digital camera. Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 3 weeks Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 2 weeks Up‐ and down‐regulated chemokine‐related genes in tumor tissues compared with peritumoral tissues in 1 week

Immunohistochemical and western blot analyses

We analyzed the expression of the selected genes using immunohistochemistry (Fig. 3) and western blot analysis (Fig. 4) to confirm the changes observed by PCR microarray. The results were consistent with the microarray analysis results. CXCL1, CXCL2, and CXCL3 expression was higher and CXCR1 expression was lower in tumor tissues during HCC progression compared with the controls.
Figure 3

CXCL1, CXCL2, CXCL3, CXCR1, and IL‐1β expression in carcinoma cells xenografted into nude mice at 1, 2, and 3 weeks, respectively.

Figure 4

Western blot analysis of tumor and peritumor tissues from the CBRH‐7919 cell line demonstrated the up‐regulation of CXCL1, CXCL2, CXCL3, and XCR1 and down‐regulation of CXCR1 in tumor tissues at 1, 2, and 3 weeks. T: Tumor tissue, A: Peritumor tissue.

CXCL1, CXCL2, CXCL3, CXCR1, and IL‐1β expression in carcinoma cells xenografted into nude mice at 1, 2, and 3 weeks, respectively. Western blot analysis of tumor and peritumor tissues from the CBRH‐7919 cell line demonstrated the up‐regulation of CXCL1, CXCL2, CXCL3, and XCR1 and down‐regulation of CXCR1 in tumor tissues at 1, 2, and 3 weeks. T: Tumor tissue, A: Peritumor tissue.

Effect of CXCL1 knockdown on tumor growth in a xenograft model

We further investigated the effect of CXCL1 knockdown on tumor cell growth in vivo. One day after siRNA transfection, tumor cells were injected into nude mice (1 × 107 cells). Tumors appeared at the site of inoculation within 14 days, and the mice were observed for 45 days. Both the tumor volume and weight were lower in the mice that received CXCL1 siRNA compared with the negative control siRNA‐treated mice (tumor volume, 603.4 ± 60.8 mm3 vs. 1095.1 ± 102.1 mm3; tumor weight, 283.5 ± 21.3 mg vs. 492.5 ± 43.1 mg, respectively). Tumor growth in the CXCL1 siRNA‐treated mice was significantly decreased compared with the mice that received the negative control siRNA, as observed by HE staining (Fig. 5). These results indicated that CXCL1 might be a molecular target for the treatment of HCC.
Figure 5

Targeted silencing of CXCL1 by siRNA. A CBRH‐7919 xenograft in nude mice. (A: NC group; B: siRNA group, 14 days after injection, 1 × 107 cells). Tumor tissues from mice that received CXCL1 siRNA were stained with hematoxylin and eosin, 200× (C). Tumor growth curve was determined by the International Veterinary Information Service System (D). All data are expressed as means ± SD, *P < 0.05, (A: NC group; B: siRNA group).

Targeted silencing of CXCL1 by siRNA. A CBRH‐7919 xenograft in nude mice. (A: NC group; B: siRNA group, 14 days after injection, 1 × 107 cells). Tumor tissues from mice that received CXCL1 siRNA were stained with hematoxylin and eosin, 200× (C). Tumor growth curve was determined by the International Veterinary Information Service System (D). All data are expressed as means ± SD, *P < 0.05, (A: NC group; B: siRNA group).

Serum CXCL1 mRNA and protein levels in HCC

The results revealed a statistical difference in serum CXCL1 mRNA and protein levels among the control group, HCC group, and HS group (P < 0.001, Table 4). The CXCL1 mRNA and protein levels were elevated in the HCC group compared with the control group or the HS group (P < 0.001, Fig. 6).
Table 4

mRNA expression levels of CXCL1 in hepatocellular carcinoma (HCC) group, control group, and hepatic sclerosis group

N X ± S F P
Control160.00875836 ± 0.003146918
HCC160.02627177 ± 0.00527118553.433<0.001
HS160.01349642 ± 0.006219482

All data are expressed as means ± SD, P < 0.001, as compared to HCC group and HS group.

Figure 6

Western blot analysis of CXCL1 expression in the hepatocellular carcinoma (HCC) group (3), control group (1), and HS group (2), All data are expressed as means ± SD, P < 0.001, compared with the HCC group and HS group.

mRNA expression levels of CXCL1 in hepatocellular carcinoma (HCC) group, control group, and hepatic sclerosis group All data are expressed as means ± SD, P < 0.001, as compared to HCC group and HS group. Western blot analysis of CXCL1 expression in the hepatocellular carcinoma (HCC) group (3), control group (1), and HS group (2), All data are expressed as means ± SD, P < 0.001, compared with the HCC group and HS group.

Discussion

Chemokines and chemokine receptors play complex roles during HCC progression. Chemokines are grouped according to their different structures and functions into four families: CC, CXC, C, and CX3C. CXC chemokines are the second largest family of chemokines, and increasing evidence suggests that chemokine expression is associated with tumor angiogenesis, tumor, progression, and metastasis [13, 14, 15]. CXCL1 has been shown to be a growth‐regulated oncogene with melanoma growth‐stimulating activity. Studies have shown that CXCL1 can regulate tumor epithelial–stromal interactions that facilitate tumor growth and invasion, and CXCL1 has also been associated with angiogenesis [16, 17, 18, 19]. CXCL1 is primarily regulated by growth factors/mediators, such as VEGF, TGF‐β, JNK, and PI3K. For example, VEGF can stimulate the release of CXCL1 in both time‐ and concentration‐dependent manner, and this phenomenon can be inhibited by VEGF receptor antagonists [20, 21, 22, 23]. Some studies have suggested that chemokines also mediate tumor metastasis. Both CXCL1 and CXCL2 are closely related to metastasis [16, 24]. CXCL1 and CXCL2 expression can be inhibited by inhibiting phosphorylated IkBa and NFkB activation. NFkB promotes the survival of premalignant epithelial cells while also stimulating the release of proinflammatory mediators. NFkB affects the expression of at least 400 genes with a variety of functions, including inflammation, invasion, and metastasis. Thus, the down‐regulation of chemokines may be a potential treatment strategy for cancer [24, 25, 26, 27]. CXCL2 and CXCL3 are up‐regulated by proinflammatory cytokines. Our previous findings suggest that CXCL1, CXCL2, and CXCL3 are up‐regulated and CXCR1 is down‐regulated in the tumors of mice with HCC. These CXC chemokines and chemokine receptors are also expressed in several solid tumors. In human colon carcinoma cell lines, CXCL1 and its receptor CXCR2 have been associated with metastatic potential and are thought to modulate cell proliferation and invasion in both an autocrine and paracrine manner. CXCL1 is also overexpressed in human bladder carcinomas, and this increased expression is associated with a higher bladder carcinoma grade and stage. CXCL1 has also been reported to be overexpressed in renal, gastric, skin, and breast cancers. However, some studies investigating CXCL1 expression in non‐small cell lung cancer have demonstrated opposite results [28, 29]. CXCR1 binds only to CXCL8. Several studies have suggested that CXCR1 is an important player in tumor progression. Neutralization of CXCR1 using small molecule antagonists affects cell proliferation and migration. Recent reports have also described CXCR1 expression in all melanoma cases, irrespective of the stage and grade, and modulation of CXCR1 expression and/or activity has been shown to regulate malignant melanoma growth, angiogenesis, and metastasis [30, 31, 32]. In addition, activation of both CXCR1 and CXCR2 increases the rate of cell proliferation in prostate cancer [33, 34]. A previous cross‐array has shown that CXCR1 is down‐regulated in HCC tissues, which is consistent with the present results. Thus, down‐regulation of CXCR1 may favor tumor progression in mouse models of HCC. In this study, we used a PCR microarray and found that several chemokine‐related genes were up‐regulated and down‐regulated in HCC tissues. Western blotting confirmed the changes in the expression of CXCL1, CXCL2, CXCL3, IL‐1β, and CXCR1 in a CBRH‐7919 HCC mouse model. Further studies may increase insight into the roles of CXCL1, CXCL2, IL‐1β, and CXCL3 in a protumor microenvironment, which may contribute to HCC development and progression. RNAi is a posttranscriptional gene silencing mechanism that is now widely used for the analysis and therapeutic potential of genes. RNAi has emerged as a powerful tool to induce loss of function phenotypes via posttranscriptional silencing of gene expression. A lentivirus is a retrovirus, and lentiviral vectors can efficiently deliver si/shRNA expression cassettes into various cells with sustained expression and potent functionality of the encoded siRNAs [35, 36, 37].The introduction of an siRNA targeting CXCL1 into CBRH‐7919 resulted in efficient and specific inhibition of CXCL1 expression, as demonstrated by western blotting. The results showed that gene silencing of CXCL1 inhibited the growth of CBRH‐7919 tumors in vivo (P < 0.01). Our findings also confirmed that the mRNA and protein levels of CXCL1 were overexpressed in patients with HCC. In conclusion, these findings support the hypothesis that CXCL1 plays an important role in protecting CBRH‐7919 cells from cell death, thus verifying the potential of CXCL1 as a target for future therapeutic interventions.

Conflict of Interest

None declared.
  38 in total

1.  Expression of a cyclo-oxygenase-2 transgene in murine liver causes hepatitis.

Authors:  Jun Yu; Alex Y Hui; Eagle S H Chu; Alfred S L Cheng; Minnie Y Y Go; Henry L Y Chan; Wai K Leung; Kin F Cheung; Arthur K K Ching; Yiu L Chui; Ka K Chan; Joseph J Y Sung
Journal:  Gut       Date:  2006-12-05       Impact factor: 23.059

2.  Extracellular matrix-bound vascular endothelial growth factor promotes endothelial cell adhesion, migration, and survival through integrin ligation.

Authors:  Helen Hutchings; Nathalie Ortega; Jean Plouët
Journal:  FASEB J       Date:  2003-04-22       Impact factor: 5.191

Review 3.  Chemokines in pathology and medicine.

Authors:  M Baggiolini
Journal:  J Intern Med       Date:  2001-08       Impact factor: 8.989

Review 4.  The anti-cancer and anti-inflammatory actions of 1,25(OH)₂D₃.

Authors:  E Vanoirbeek; A Krishnan; G Eelen; L Verlinden; R Bouillon; D Feldman; A Verstuyf
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2011-08       Impact factor: 4.690

5.  Down-regulation of fractalkine inhibits the in vitro and in vivo angiogenesis of the hepatocellular carcinoma HepG2 cells.

Authors:  Feng Li; Zuoren Wang; Yongcun Liu; Junhui Li
Journal:  Oncol Rep       Date:  2010-09       Impact factor: 3.906

Review 6.  Inflammation and cancer: interweaving microRNA, free radical, cytokine and p53 pathways.

Authors:  Aaron J Schetter; Niels H H Heegaard; Curtis C Harris
Journal:  Carcinogenesis       Date:  2009-12-02       Impact factor: 4.944

7.  Functional activity of CXCL8 receptors, CXCR1 and CXCR2, on human malignant melanoma progression.

Authors:  Chiara Gabellini; Daniela Trisciuoglio; Marianna Desideri; Antonio Candiloro; Ylenia Ragazzoni; Augusto Orlandi; Gabriella Zupi; Donatella Del Bufalo
Journal:  Eur J Cancer       Date:  2009-08-13       Impact factor: 9.162

8.  Proteome analysis of hepatocellular carcinoma by two-dimensional difference gel electrophoresis: novel protein markers in hepatocellular carcinoma tissues.

Authors:  Wei Sun; Baocai Xing; Yi Sun; Xiaojuan Du; Min Lu; Chunyi Hao; Zhuang Lu; Wei Mi; Songfeng Wu; Handong Wei; Xue Gao; Yunping Zhu; Ying Jiang; Xiaohong Qian; Fuchu He
Journal:  Mol Cell Proteomics       Date:  2007-07-12       Impact factor: 5.911

Review 9.  Role of chemokines in tumor growth.

Authors:  Dayanidhi Raman; Paige J Baugher; Yee Mon Thu; Ann Richmond
Journal:  Cancer Lett       Date:  2007-07-12       Impact factor: 8.679

10.  Viral hepatitis and hepatocellular carcinoma.

Authors:  Peter P Michielsen; Sven M Francque; Jurgen L van Dongen
Journal:  World J Surg Oncol       Date:  2005-05-20       Impact factor: 2.754

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  11 in total

1.  Different Effects of Human Umbilical Cord Mesenchymal Stem Cells on Glioblastoma Stem Cells by Direct Cell Interaction or Via Released Soluble Factors.

Authors:  Adriana Bajetto; Alessandra Pattarozzi; Alessandro Corsaro; Federica Barbieri; Antonio Daga; Alessia Bosio; Monica Gatti; Valerio Pisaturo; Rodolfo Sirito; Tullio Florio
Journal:  Front Cell Neurosci       Date:  2017-10-13       Impact factor: 5.505

2.  Screening and identification of key biomarkers in bladder carcinoma: Evidence from bioinformatics analysis.

Authors:  Meiqin Yan; Xuan Jing; Yina Liu; Xiangrong Cui
Journal:  Oncol Lett       Date:  2018-06-21       Impact factor: 2.967

3.  Expression of the Wnt ligands gene family and its relationship to prognosis in hepatocellular carcinoma.

Authors:  Jia-Jia Dong; Li Ying; Ke-Qing Shi
Journal:  Cancer Cell Int       Date:  2019-02-15       Impact factor: 5.722

4.  CXCL1 stimulates migration and invasion in ER‑negative breast cancer cells via activation of the ERK/MMP2/9 signaling axis.

Authors:  Chengcheng Yang; Haochen Yu; Rui Chen; Kai Tao; Lei Jian; Meixi Peng; Xiaotian Li; Manran Liu; Shengchun Liu
Journal:  Int J Oncol       Date:  2019-07-15       Impact factor: 5.650

5.  Visfatin Enhances Breast Cancer Progression through CXCL1 Induction in Tumor-Associated Macrophages.

Authors:  Yen-Yun Wang; Huan-Da Chen; Steven Lo; Yuk-Kwan Chen; Yu-Ci Huang; Stephen Chu-Sung Hu; Ya-Ching Hsieh; Amos C Hung; Ming-Feng Hou; Shyng-Shiou F Yuan
Journal:  Cancers (Basel)       Date:  2020-11-26       Impact factor: 6.639

6.  Chemokine CXCL1 may serve as a potential molecular target for hepatocellular carcinoma.

Authors:  Ke-Qi Han; Hui Han; Xue-Qun He; Lei Wang; Xiao-Dong Guo; Xue-Ming Zhang; Jie Chen; Quan-Gang Zhu; Hua Nian; Xiao-Feng Zhai; Ma-Wei Jiang
Journal:  Cancer Med       Date:  2016-09-28       Impact factor: 4.452

7.  NLRC and NLRX gene family mRNA expression and prognostic value in hepatocellular carcinoma.

Authors:  Xiangkun Wang; Chengkun Yang; Xiwen Liao; Chuangye Han; Tingdong Yu; Ketuan Huang; Long Yu; Wei Qin; Guangzhi Zhu; Hao Su; Xiaoguang Liu; Xinping Ye; Bin Chen; Minhao Peng; Tao Peng
Journal:  Cancer Med       Date:  2017-09-29       Impact factor: 4.452

8.  The prognostic value of CYP2C subfamily genes in hepatocellular carcinoma.

Authors:  Xiangkun Wang; Tingdong Yu; Xiwen Liao; Chengkun Yang; Chuangye Han; Guangzhi Zhu; Ketuan Huang; Long Yu; Wei Qin; Hao Su; Xiaoguang Liu; Tao Peng
Journal:  Cancer Med       Date:  2018-02-26       Impact factor: 4.452

9.  Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma.

Authors:  Liang Sang; Xue-Mei Wang; Dong-Yang Xu; Wen-Jing Zhao
Journal:  World J Gastroenterol       Date:  2018-06-28       Impact factor: 5.742

10.  Functions of CXC chemokines as biomarkers and potential therapeutic targets in the hepatocellular carcinoma microenvironment.

Authors:  Jukun Wang; Chao Zhang; Xin Chen; Yu Li; Ang Li; Dongbin Liu; Fei Li; Tao Luo
Journal:  Transl Cancer Res       Date:  2021-05       Impact factor: 1.241

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