Literature DB >> 30310517

LncRNA PVT1 promotes malignant progression in squamous cell carcinoma of the head and neck.

Changyun Yu1, Yunyun Wang2,3, Guo Li2,3, Li She2,3, Diekuo Zhang2,3, Xiyu Chen2,3, Xin Zhang2,3, Zhaobing Qin1, Hua Cao1, Yong Liu2,3.   

Abstract

Long non-coding RNAs (lncRNAs) are potentially critical regulators of cancer malignant behaviours. Aberrant expression and dysfunction of lncRNA PVT1 have been reported in multiple human cancers. However, its role in squamous cell carcinoma of the head and neck (SCCHN) remains largely unknown. Our current study demonstrated that PVT1 expression was increased in SCCHN. High PVT1 expression was positively correlated with SCCHN clinical parameters including T classification, clinical stages and cervical lymph node metastasis. More importantly, high PVT1 expression predicted a poor prognosis in SCCHN patients. Gain-of function and loss-of function studies further indicated that PVT1 promoted the proliferation and invasion of SCCHN both in vitro and in vivo, which was accompanied by epithelial-mesenchymal transition and enhanced cancer stem cell-like properties. Further mechanistic investigation revealed that PVT1 activated Wnt/β-catenin signalling pathway, and inhibition of Wnt/β-catenin signalling reversed the malignant progression caused by PVT1 overexpression. Together, our study reveals that PVT1 accelerates the malignant progression of SCCHN and represents a potential biomarker and therapeutic target in SCCHN.

Entities:  

Keywords:  Plasmacytoma variant translocation 1; Squamous cell carcinoma of the head and neck; Wnt/β-catenin; epithelial-mesenchymal transition; metastasis; stemness

Year:  2018        PMID: 30310517      PMCID: PMC6171028          DOI: 10.7150/jca.26465

Source DB:  PubMed          Journal:  J Cancer        ISSN: 1837-9664            Impact factor:   4.207


Introduction

Squamous cell carcinoma of the head and neck (SCCHN) accounts for approximately 90% of all head and neck cancers, and ranks as the six leading cancer worldwide. Despite considerable improvements in diagnosis and therapies have been achieved for decades, life quality and survival rate of SCCHN patients are far from satisfactory. Unlimited proliferation and metastasis are major challenges in the treatment of SCCHN patients 1, 2. Molecular mechanisms underlying the tumorigenesis and progression of SCCHN are complicated, which are intensively studied in diverse gene types including protein coding genes and non-coding genes 3, 4. Hence, a comprehensive and profound understanding of the molecular mechanisms underlying cancer development and progression is critical for the discovery of novel and promising treatment strategies for the management of SCCHN patients. Long non-coding RNAs (lnc RNAs) are a class of RNAs longer than 200 nucleotides with no or limited protein-coding potential. It is well established that lnc RNAs play critical roles in the regulation of various biological and pathological processes, such as proliferation, apoptosis, cell cycle progression, migration and invasion etc 5. Emerging studies have shown that lncRNAs are frequently deregulated in a wide type of malignancies including SCCHN, and are involved in the development and progression of cancer 6. For example, two well-studied lncRNAs including MALAT1 and HOTAIR are increased in numerous solid cancers including SCCHN, and is important in cancer malignant progression 7, 8. Plasmacytoma variant translocation 1 (PVT1), as one lncRNA with a length of 1716 nucleotides, is located adjacent to oncogene c-Myc on chromosome 8q24.21 region 9. Aberrant PVT1 expression has been detected in a variety of malignancies, including non-small-cell lung cancer 10-12, breast cancer 13, hepatocellular carcinoma 14, 15, clear cell renal cell carcinoma 16 and prostate cancer 17, etc. Available evidence indicates that PVT1 has broad functions in cancer cell proliferation, apoptosis, cell cycle arrest, invasion, radioresistance and chemoresistance 18, 19. Recent studies suggest that PVT1 serves as a competing endogenous RNA (ceRNA) model to sponging microRNA, such as miR-200 family, and then collaborate together to regulate genes expression including oncogenes and/or suppressors in cancer 20, 21. Taken together, PVT1 is a potential oncogene and a valuable biomarker in human cancers. However, the functions and molecular mechanisms of PVT1 in SCCHN are still waiting for investigation. In our current study, PVT1 was found to be significantly increased in SCCHN and its overexpression was tightly associated with T classification, clinical stages and metastasis in SCCHN patients. Importantly, PVT1 overexpression predicted a poor prognosis. Further in vitro and in vivo experiments revealed that PVT1 promoted proliferation, migration and invasion of SCCHN via the activation of Wnt/β-catenin signaling pathway, which induced epithelial-mesenchymal transition (EMT) and enhanced cancer stem cell-like properties. These results suggest that PVT1 may serve as a potential prognostic biomarker and therapeutic target in SCCHN.

Materials and methods

Cell lines and cell culture

The SCCHN cell line Tu686, established from a primary tongue tumor, was kindly provided by Dr. Zhuo G. Chen (Emory University Winship Cancer Institute, Atlanta, Georgia, USA). The human hypopharyngeal carcinoma cell line FaDu was purchased from the American Type Culture Collection (ATCC®, Manassas, VA, USA). Tu686 cells and FaDu cells were maintained in Dulbecco's modified Eagle's medium (DMEM)/F12 medium (1:1) (Gibco) and DMEM medium (Gibco) supplemented with 10% fetal bovine serum (FBS, Hyclone), 100 IU/mL penicillin and 100 μg/mL streptomycin (Gibco) at 37°C in a humidified incubator with 5% CO2. Cells in the logarithmic growth phase were used in all the subsequent experiments.

StarBase V2.0 data analysis

Public available RNA-seq data were analyzed from starBase V2.0 project (http://starbase.sysu.edu.cn/) 22, in which 425 SCCHN and 42 adjacent non-cancerous epithelial (ANCE) samples were included.

Preparation of human SCCHN cancer tissues

A total of 83 SCCHN and their corresponding ANCE tissues were obtained from patients who received surgery in Xiangya Hospital, Central South University (Changsha, China) from January 2008 to December 2011. SCCHN patients enrolled in the study had to follow these inclusion criteria: (i) primary squamous cell carcinoma without other malignancies; (ii) no history of previous radiotherapy or chemotherapy. The main clinicopathological features of patients were listed in Table . Pathological tumor-node-metastasis (TNM) stage was determined based on the criteria of the 7th American Joint Committee on Cancer staging system in 2010. All tissue samples were immediately snap-frozen in liquid nitrogen and stored at -80°C until RNA extraction. The follow-up range was from 13 to 60 months. Clinical physical examination, imaging evaluation, and pathological examination were employed to confirm the recurrence or metastasis. Overall survival (OS) was calculated from the day of surgery to the date of death. The study was approved by Research Ethics Committee of Xiangya Hospital, Central South University, Changsha, China, and written informed consent was obtained from each patient before surgery.

Quantitative reverse transcription-polymerase chain reaction analysis (qRT-PCR)

Total RNAs from SCCHN tissues and cell lines were extracted using Trizol reagent (Invitrogen) according to the manufacture's instruction. Briefly, 1 μg RNA was used to generate complementary DNA (cDNA) with the High Capacity RNA-to-cDNA Kit (Thermo Fisher Scientific Inc.). 25 μl reaction system was established and PCR amplification was performed using SYBR® Green PCR Master Mix (Thermo Fisher Scientific Inc.) on the Applied Biosystems 7500 Real-Time PCR System. qPCR primers were listed as follows: PVT1 23, forward 5'-TGA GAA CTG TCC TTA CGT GAC C-3', reverse 5'-AGA GCA CCA AGA CTG GCT CT-3'; E-cadherin, forward 5'-GCT GGA CCG AGA GAG TTT CC-3', reverse 5'-CAA AAT CCA AGC CCG TGG TG-3'; Vimentin, forward 5'-TGT CCA AAT CGA TGT GGA TGT TTC-3', reverse 5'-TTG TAC CAT TCT TCT GCC TCC TG-3'; GAPDH, forward 5'-TCC AAA ATC AAG TGG GGC GA-3', reverse 5'-AGT AGA GGC AGG GAT GAT GT-3'. Relative gene expression was calculated using the 2-ΔΔCq method 24 and normalized to GAPDH.

Overexpression or knockdown of PVT1

For PVT1 overexpression, full-length human PVT1 cDNA was amplified by PCR and then cloned into pLV lentiviral plasmid (Addgene). Empty vector was used as a control. For PVT1 knockdown, two shRNAs against PVT1 were used and the target sequences of PVT1 were showed as follows 23: sh1: 5'-CCC AAC AGG AGG ACA GCT T-3'. sh2: 5'-GCU UGG AGG CUG AGG AGT T-3'. shRNAs were cloned into shRNA-expressing lentiviral vector pLKO.1 (Addgene). The above vectors together with lentivirus packaging vectors were cotransfected into 293T cells using FuGENE® 6 (Promega). Lentiviral particles were harvested 48 hours after transfection and freshly used for cell transfection. Stable cells were screened by puromycin for 2 weeks and efficiency of gene modulation was assayed by qPCR.

Cell proliferation

FaDu cells or Tu686 cells after PVT1 regulation were seeded into 6-well plate for cell counting at different time points, or into 96-well plate for proliferation assay via Cell Counting Kit-8 (Beyotime Institute of Biotechnology) 25.

Transwell migration and invasion assays

Transwell cell migration and invasion assays were performed as we previously described 25-27. In brief, 4.0x104 Tu686 cells or FaDu cells in serum-free medium were seeded in the upper chamber of transwell plates (Corning). Medium containing 10% FBS was added into the lower chambers. Cells that migrated through 8 μm pores were fixed by methanol and stained with hematoxylin and eosin. Stained cells were visualized under a microscope and counted from 5 random fields. For cell invasion experiments, the upper chambers were precoated with 1mg/ml Matrigel (BD Biosciences) and then subjected to the protocol as cell migration assay.

Western blotting analysis

The western blotting analysis was performed as we previously described 25, 27. In brief, 50-80 μg total protein was separated by 8-12% SDS-PAGE, and then transferred to polyvinylidene fluoride membranes (Millipore). After blocked with 5% skimmed milk at room temperature for 1 hour, the membranes were incubated with primary antibodies at 4 ˚C overnight. Primary antibodies were listed as follows: Mouse monoclonal antibody against E-cadherin (1:400; Santa Cruz), mouse monoclonal antibody against Vimentin (1:200; Santa Cruz), mouse monoclonal antibody against p-GSK3β (1:500; Santa Cruz) and mouse monoclonal antibody against β-catenin (1:500; Santa Cruz). Then the membranes were washed three times in TBST and incubated with horseradish peroxidase (HRP)-labeled goat Anti-mouse IgG (H+L) (1:1,000; Beyotime Institute of Biotechnology) for 1 hour at room temperature. For normalization of protein loading, mouse monoclonal antibody against β-actin (1:1,000; Beyotime Institute of Biotechnology) was used.

Tumorsphere formation assays

FaDu cells were cultured as a monolayer before being harvested as single cell suspension. Cells were suspended in tumorsphere medium (serum-free DMEM medium supplemented with 20 ng/mL human recombinant epidermal growth factor (EGF, Millipore), 20 ng/mL human recombinant basic fibroblast growth factor (bFGF, PeproTech) and 2% B27), and then subsequently plated in ultra-low attachment 24-well plates (Corning) at a density of no more than 2,000 cells/well. Culture medium was changed every 3 days. Spheres with a diameter >75 μm were counted after 14 days 28.

Xenograft tumor model

Athymic male nude mice were purchased from Hunan SJA Laboratory Animal Co., Ltd. Changsha, Hunan. Mice were housed in specific pathogen-free laboratory. Animal procedures were reviewed and approved by the Animal Ethics Committee of Central South University, Changsha, Hunan. Mice at the age of 5-7 weeks were subcutaneously injected into the position of hind flank with 2.0×106 Tu686/PVT1 shRNA1 or Tu686/Vector cells that suspended in 200 µl cold PBS (4 mice for each group). Basic condition and individual mouse weight were monitored during the whole period. Tumor volume was determined every 3-5 days by calliper measurements and was calculated using the modified ellipse formula (volume = length × width2/2). Thirty days after cancer cell injection, all mice were euthanized and sacrificed. Xenograft tumors in all groups were removed and final weight of each tumor was measured. Each tumor sample was spliced into 2 parts and stored in nitrogen for the following qPCR and western blotting assays, respectively.

Statistical analysis

All statistical analyses were performed using IBM SPSS 19.0 software. Quantitative data in this study were expressed as the mean ± SD. Two-tailed Student's t-test was employed to determine the significant difference. Correlations between PVT1 expression and clinicopathological parameters in SCCHN patients were analyzed using Student's t-test. The Cox proportional hazards regression model was used to identify factors that were associated with overall survival. Survival curves were plotted with the Kaplan-Meier method and compared by the log-rank test. P-value < 0.05 was considered to be statistically significant.

Results

Increased PVT1 expression predicts a poor prognosis in SCCHN patients

PVT1 expression was initially analyzed in the RNA-seq data from starBase V2.0 project (http://starbase.sysu.edu.cn/), in which 425 SCCHN and 42 ANCE samples were included 22. SCCHN RNA-seq data clearly indicated that PVT1 transcripts were significantly increased in SCCHN compared to ANCE samples (Figure ). To validate the above online result and further explore the potential associations between PVT1 expression and clinical variables in SCCHN patients, PVT1 expression was assayed by qPCR in 83 SCCHN patients with intact clinical and prognostic information. As expected, PVT1 expression was dramatically elevated in SCCHN tissues (Figure ). Subsequently, these SCCHN patients were divided into two groups, high PVT1 expression group (n = 42) and low expression group (n = 41), in which PVT1 expression was greater or less than the median value in the 83 SCCHN patients cohort. As statistically summarized via Student t-test in Table , PVT1 expression was positively correlated with higher T classification (P = 0.041), advanced clinical stages (P < 0.001) and lymph node metastasis in SCCHN patients (P < 0.001). Importantly, survival analysis via Kaplan-Meier method and a log-rank test demonstrated that SCCHN patients with a higher PVT1 expression displayed a worse prognosis than patients with low PVT1 expression (Figure , P = 0.003). Univariate Cox regression analyses demonstrated that T classification, clinical stages, lymph node metastasis, and PVT1 expression were significantly associated with the overall survival in SCCHN patients (Table ; All P < 0.05). However, only metastasis was determined to be an independent prognostic factor for the overall survival in SCCHN patients (Table ; P = 0.004). Collectively, these clinical data suggest that PVT1 overexpression is associated with a progressive behavior and indicates a poor prognosis in SCCHN patients.

PVT1 promotes the progression of SCCHN in vitro

To directly confirm whether PVT1 participated in SCCHN malignant progression, 2 PVT1 shRNAs carried by lentivirus vector were used to knockdown the expression of PVT1 in SCCHN cells. As presented in Figure , both 2 shRNAs efficiently inhibited PVT1 expression in Tu686 cells. Subsequently, alterations including growth capacity, migration and invasion were examined. We found that both PVT1 shRNAs inhibited the in vitro proliferation from day 3 (Figure ). In addition, PVT1 inhibition slowed down the migration and impeded the invasion of Tu686 cells (Figure ). These data indicates that PVT1 knockdown inhibits the malignant SCCHN progression including proliferation, migration and invasion. To further strengthen the above results, PVT1 was overexpressed in another SCCHN FaDu cells (Figure ). Our data revealed that forced expression of PVT1 correspondingly enhanced the proliferation (Figure ), migration (Figure ) and invasion (Figure ) in FaDu cells. Together, the above gene gain-of function and loss-of function analyses clearly indicate that PVT1 is an oncogene in SCCHN and functions critically in SCCHN malignant progression.

PVT1 induces EMT and enhances stem cell-like properties of SCCHN in vitro

EMT is a critical molecular reprogram in cancer cells that enhances the malignancy in numerous cancer types 29. Therefore, we used qPCR and western blotting to check the molecular changes that involved in EMT. Our data demonstrated that ectopic expression of PVT1 in FaDu cells downregulated the expression of epithelial marker E-cadherin, while increased the expression of mesenchymal marker Vimentin at both mRNA and protein levels (Figure ), indicating that PVT1 overexpression induced EMT in SCCHN cells. Moreover, recent evidence has shown that EMT reprogram enhanced cancer stemness 28, we also studied the effect of PVT1 on the stem cell-like phenotype by tumorsphere formation assay. The results indicated that forced expression of PVT1 enhanced the sphere-forming ability of SCCHN FaDu cells in vitro (Figure ). Taken together, our data suggest that PVT1 promotes SCCHN progression via inducing EMT and enhancing its stem cell-like properties.

Wnt/β-catenin signaling pathway contributes to PVT1-mediated SCCHN progression

Wnt/β-catenin signaling pathway is a key driver for cancer behaviors in numerous malignancies 30, which is also intensively studied in our previous researches about radioresistance and metastasis of SCCHN 26, 31, 32. Recent publication indicates that PVT1 promotes chemoresistance in bladder urothelial carcinoma via Wnt/β-catenin signaling pathway 33. In our current study, we found that PVT1 overexpression in FaDu cells significantly repressed the expression of phosphorylated-GSK3β (p-GSK3β) and upregulated the level of β-catenin (Figure ), indicating the activation of Wnt/β-catenin signaling pathway caused by PVT1 overexpression. To validate whether Wnt/β-catenin is a downstreaming signaling pathway in PVT1-mediated SCCHN progression, iCRT14 as a specific β-catenin/TCF complex inhibitor was applied in PVT1 overexpressed FaDu cells. Our data demonstrated that the blocking of Wnt/β-catenin signaling pathway partially inhibited the proliferation (Figure ), migration (Figure ) and invasion (Figure ) of FaDu cells caused by PVT1 overexpression. At molecular level, iCRT14 also reversed the mRNA expression of E-cadherin and Vimentin induced by PVT1 (Figure ). These data reveal that PVT1 promotes SCCHN progression via the activation of Wnt/β-catenin signaling pathway.

PVT1 accelerates SCCHN tumorigenesis in vivo

In the end, we extended to the in vivo environment to further confirm the above in vitro results. Therefore, shRNA1 was used to knockdown PVT1 expression in Tu686 cells that were subjected to puromycin screening for 2 weeks. Consequently, 2.5×106 Tu686 cells were subcutaneously injected into the flank of nude mice. Tumor size was monitored every 3-5 days and mice were euthanized at day 30 post cell injection. As shown in Figure , PVT1 knockdown led to decreased tumor size and impeded the speed of tumor growth in nude mice (P < 0.01). Final weight of xenograft tumors were declined from (0.52 ± 0.10) g in control Tu686 cells to (0.25 ± 0.07) g in PVT1 knockdown Tu686 cells (Figure , P < 0.01). Moreover, PVT1 knockdown correspondingly upregulated the expression of E-cadherin and inhibited the expression of Vimentin at mRNA level (Figure ), which was accompanied by the deactivation of Wnt/β-catenin signaling pathway (Figure ).Collectively, these in vivo data indicate that PVT1 knockdown inhibits the tumorigenesis of SCCHN via modulating Wnt/β-catenin signaling pathway.

Discussion

Available evidence indicates that PVT1 plays an important role in carcinogenesis and cancer progression. In the region of head and neck, PVT1 is remarkably upregulated in thyroid cancer, and PVT1 silencing significantly inhibited proliferation and cell cycle progression of cancer cells 34. More recently, PVT1 knockdown induces apoptosis of nasopharyngeal carcinoma via preventing the DNA damage repair pathway after radiotherapy 19. However, the role and clinical relevance of PVT1 in SCCHN is far from clear. In this study, PVT1 expression is obviously elevated in SCCHN tissues and high PVT1 expression is associated with T classification, clinical stages and cervical lymph node metastasis, which is tightly correlated with a poor prognosis in SCCHN patients. Further in vitro and in vivo experiments indicate that PVT1 promotes carcinogenesis and progression via activating Wnt/β-catenin signaling pathway, inducing EMT and enhancing the stem cell-like properties in SCCHN. One major finding of our study is that high PVT1 expression is tightly associated with several clinical parameters and a poor prognosis in SCCHN patients, which is consistent with reports in other solid tumors including non-small-cell lung cancer 10, 12, hepatocellular carcinoma 15, clear renal cell carcinoma 35, prostate cancer 17, glioma 36, 37, gastric 23 and cervical cancer 38, etc. We have to mention that our current clinical analysis is based on a relative small sample size, therefore, verification in a larger patient cohort will further strengthen the clinical significance of PVT1 in SCCHN patients. However, these data still suggest that PVT1 is a promising prognostic indicator for SCCHN patients. Together with the fact that increased expression of PVT1 exists in a wide spectrum of cancer types, it highlights that PVT1 is a valuable prognostic marker in human cancers. In line with our clinical results, both in vitro and in vivo data also reveal that PVT1 promotes the unlimited proliferation and invasion of SCCHN, indicating that it is also a potential therapeutic molecular target in SCCHN. Metastasis provides critical guidance information for the determination of treatment strategy, and also contributes to the unfavorable prognosis in cancer. EMT and enhanced cancer stemness are widely accepted to participate in the process of metastasis 28. In our current study, forced PVT1 expression induced EMT and maintained stem cell-like properties of SCCHN, which partially explains the mechanisms for PVT1-mediated metastasis in SCCHN. In accordance with our data, PVT1 also promotes stem cell-like properties of hepatocellular carcinoma cells by stabilizing NOP2 15. In another aspect, PVT1 has also gradually confirmed to be an important regulator in the process of EMT 39-42. It is not surprising to find that PVT1 can modulate both the processes of EMT and cancer stem cell, because cancer cells that experienced EMT generates more cells with properties of stem cell 28. However, how PVT1 remodels the EMT and cancer stem cell properties is still in mystery. Canonical activation of Wnt/β-catenin signaling pathway leads to series of cellular responses through activation of β-catenin/TCF target genes 30. Once activation, β-catenin accumulates in cytoplasm and translocate to nucleus, where it engages DNA bounding TCF transcription factors to activate the expression of Catenin Responsive Transcription (CRT) reporter genes and other endogenous genes 43. In our study, PVT1 overexpression activated β-catenin signaling pathway, as reflected by decreased p-GSK3β and increased β-catenin expression, indicating that PVT1 overexpression leads to the activation of Wnt/β-catenin signaling pathway, which is also a major finding of our study. To confirm whether Wnt/β-catenin pathway is actually involved in PVT1-mediated effects, we used iCRT14, a potent inhibitor of β-catenin-responsive transcription, to block Wnt/β-catenin pathway. Upon the treatment of iCRT14, PVT1-mediated changes were coordinately reversed, which confirmed that PVT1 exerted its functions through Wnt/β-catenin signaling pathway. However, we have to note that Wnt/β-catenin inhibition could not completely restore the phenotypes caused by PVT1 overexpression in our study, which indicates that other latent pathways may also contribute to this process. In addition, lncRNAs can function as competing endogenous RNAs (ceRNAs, also known as miRNA “decoy” or miRNA “sponges”), which are RNA transcripts that compete for the binding to specific miRNAs. Subsequently, lncRNAs depress the effect of miRNAs on their binding target genes 44. PVT1, as one member of lncRNAs, has been reported to function as a sponge to inhibit the effects of miRNAs such as miR-152, miR-488-3p, miR-203 and miR-195 etc 45-49. This potential ceRNA regulatory network composed by PVT1 and its binding miRNAs reveals the complexity of PVT1-mediated effects, which may be also involved in the progression of SCCHN caused by PVT1 overexpression. In conclusion, we have demonstrated that PVT1 is increased in SCCHN and significantly associated with a poor prognosis and enhanced SCCHN progression. However, detailed investigation of molecular mechanisms is urgent and indispensable to further clarify the function of PVT1 in SCCHN.
Table 1

Correlations between lncRNA PVT1 expression and clinicopathological parameters in SCCHN patients

ParametersNo. of patientsPVT1 expressiont valueP-value*
Age
<59416.429±3.0671.7210.089
≥59425.269±3.073
Gender
Female46.068±4.3610.1480.883
Male795.831±3.068
Smoking
Yes476.002±2.871-0.5330.595
No365.633±3.421
Histological grade
G1+G2295.927±3.0640.1810.857
G3545.797±3.157
T classification
T1+T2465.219±3.020-2.0800.041
T3+T4376.617±3.078
Clinical stage
I+ II364.434±2.139-4.1390.000
III+ IV476.921±3.314
Lymph node metastasis
N0544.595±2.535-5.9450.000
N+298.165±2.741

NOTE: *. P < 0.05 was considered to be statistical significance.

Table 2

Cox model analysis of overall survival

ParametersRelative risk (95%CI)P-value
Univariate
Age0.787(0.378-1.636)0.521
Gender0.766(0.182-3.223)0.716
Smoking0.457(0.202-1.033)0.060
Histological grade0.661(0.293-1.493)0.319
T classification0.210(0.089-0.494)0.000
Clinical stage0.113(0.034-0.374)0.000
Lymph node metastasis0.137(0.060-0.312)0.000
PVT1 expression0.307(0.136-0.695)0.005
Multivariate
Lymph node metastasis0.179(0.056-0.570)0.004

NOTE: All the clinicopathological variables listed in the table were included in the univariate and multivariate analyses.

Abbreviation: 95% CI, 95% confidence interval.

  49 in total

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