Literature DB >> 28652769

Upregulated long noncoding RNA PANDAR predicts an unfavorable prognosis and promotes tumorigenesis in cholangiocarcinoma.

Yi Xu1,2, Xingming Jiang1, Yunfu Cui1.   

Abstract

Cholangiocarcinoma (CCA) is one of the most malignant human cancers with increasing incidence worldwide. LncRNAs have emerged as gene regulators and prognostic biomarkers in a variety of neoplasms. PANDAR, a novel cancer-related lncRNA, has been reported to be upregulated in diverse human carcinomas. In this study, we aimed to investigate the clinical significance of lncRNA PANDAR in CCA and explore its functional roles in CCA cells including cell proliferation, apoptosis, migration, invasion and epithelial-to-mesenchymal transition (EMT). The results showed that PANDAR was significantly upregulated in CCA tissue specimens and cell lines, and its high expression was closely associated with lymph node invasion (P=0.004), TNM stage (P=0.034) and postoperative relapse (P=0.006) in patients with CCA. Thus, overexpression of PANDAR could serve as an independent prognostic biomarker of CCA. Furthermore, silencing of PANDAR followed by siRNA significantly inhibited cell proliferation and increased apoptosis in CCA cells. In addition, suppression of PANDAR impaired migration and invasion capacity in vitro partly by affecting EMT. Overall, our findings showed that lncRNA PANDAR serves as a novel prognostic biomarker and therapeutic target for CCA.

Entities:  

Keywords:  PANDAR; cholangiocarcinoma; lncRNA; prognosis; tumorigenesis

Year:  2017        PMID: 28652769      PMCID: PMC5476724          DOI: 10.2147/OTT.S137044

Source DB:  PubMed          Journal:  Onco Targets Ther        ISSN: 1178-6930            Impact factor:   4.147


Introduction

Cholangiocarcinoma (CCA) originates from the epithelium of hepatic biliary trees with limited therapeutic options and poor prognosis.1 According to epidemiological data, there is an increasing incidence of CCA worldwide over the past decades, and currently, radical resection is the only treatment option available.2,3 However, due to the early invasive and metastatic characteristics of CCA, most patients are diagnosed at the advanced stages and are ineligible for surgical intervention. In addition, surgical resection is associated with a high rate of recurrence, and the 5-year survival rate is less than 10%. Moreover, CCA is also insensitive to palliative treatments including chemotherapy and radiotherapy.4,5 Therefore, exploring the underlying mechanisms of tumorigenesis and cancer progression, in addition to identifying new therapeutic targets and novel biomarkers associated with diagnosis/prognosis, is very important. With the progression of whole-genome sequencing technology, it has been found that less than 2% of the mammalian genome is in protein-encoded regions and the rest is in noncoding RNAs.6 LncRNAs, imperative members of noncoding RNA family, are transcripts of at least 200 nucleotides in length and have no or limited protein-coding potential.7 Recently, many lncRNAs have been reported to play imperative roles in tumorigenesis, cancer progression and drug resistance.8–11 LncRNAs exert a large number of molecular functions, such as modulation of alternative splicing, chromatin remodeling and RNA metabolism.12–14 They function mostly by binding with miRNAs as sponges or interacting with proteins. However, studies exploring the functional role of lncRNAs in CCA are very scarce.15 PANDAR, a novel lncRNA consisting of 1506 nucleotides in length and mapped to 6p21.2, was originally discovered in a p53-dependent manner and interacts with the transcription factor NF-YA. NF-YA is linked to the expression of proapoptotic genes, which has been proved by chromatin immunoprecipitation method.16 Recently, emerging evidence indicates that PANDAR is upregulated and involved in carcinogenesis and progression of various neoplasms including gastric cancer, hepatocellular carcinoma, bladder cancer and colorectal cancer.17–20 However, the biological role and clinical relevance of PANDAR in CCA remains to be elucidated. In this study, we aimed to characterize the expression of PANDAR in CCA and their corresponding adjacent noncancerous tissues and evaluate the association of PANDAR with clinicopathological features of CCA. Furthermore, we explored the functional roles of PANDAR in CCA through examining proliferation, apoptosis, migration, invasion and epithelial-to-mesenchymal transition (EMT) after silencing PANDAR.

Materials and methods

Ethics statement

This study was performed with the approval of the Ethics Review Committee of Harbin Medical University (KY2016-015, approval date, 2016.3.1), and all the recruited patients signed informed consent before participating in this study.

Patients and tissue samples

In this study, we collected 67 pairs of CCA tumor and matched nontumor tissue samples at the Second Affiliated Hospital of Harbin Medical University from 2011 to 2013. Tissue specimens after surgery were collected and immediately stored in liquid nitrogen until required. All recruited patients did not receive chemotherapy or radiotherapy preoperatively, and the diagnoses were confirmed by histological examination.

RNA extraction and quantitative real-time PCR (qRT-PCR)

Total RNA of the tissues and cells was extracted by Trizol reagent (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s recommendation and then converted to cDNA using a reverse transcription kit (Roche, Germany). We performed qRT-PCR by using FastStart Universal SYBR Green Master (Roche Applied Science, Mannheim, Germany) and a BIO-RAD C1000 Thermal Cycler. The following primer sets for PANDAR and GAPDH were used: PANDAR primers forward: 5′-CTGTTAAGGTGGTGGCATTG-3′, reverse: 5′-GGAGGCTCATACTGGCTGAT-3′; GAPDH primers forward: 5′-GGGAGCCAAAAGGGTCAT-3′, reverse: 5′-GAGTCCTTCCACGATACCAA-3′. The relative expression was calculated by delta-delta CT method.

Cell culture and siRNA transfection

HCCC-9810 and RBE cells used in the study were purchased from the Cell Bank of Type Culture of Chinese Academy of Sciences (Shanghai, People’s Republic of China). The other CCA cell lines including QBC939, Huh-28, HuCCT1, KMBC and CCLP-1 and human intrahepatic biliary epithelial cell (HIBEC) were preserved in our laboratory. The cells were cultivated in DMEM or RPMI-1640 supplemented with 10% FBS (Thermo Fisher Scientific) in a 37°C humidified incubator with 5% CO2. All of the cells were passaged for no more than 6 months. The siRNA specifically targeting PANDAR (si-PANDAR) and a scrambled nucleotide (si-NC) were commercially constructed by GenePharma Corporation (Shanghai, People’s Republic of China). The cells cultured in plates were allowed to grow to half confluence prior to transfection with corresponding siRNA using Lipofectamine 3000 transfection reagent (Thermo Fisher Scientific) in serum-free medium. Flow cytometry was used to detect the fluorescently labeled siRNAs and examine the transfection efficiency. After 48 h, cell lysates were harvested for qRT-PCR and western blot analysis. The target sequences of si-PANDAR are as follows: si-PANDAR-1: 5′-AAUGUGUGCACGUAACAGAUU-3′, si-PANDAR-2: 5′-GGGCAUGUUUUCACAGAGGUU-3′, si-PANDAR-3: 5′-GCAAUCUACAACCUGUCUU-3′.

Cell proliferation assays

Cell proliferation was determined using Cell Counting Kit-8 (CCK-8) (Dojindo, Japan) according to the manufacturer’s instruction. Briefly, QBC939 and RBE cells transfected with siRNA targeting PANDAR or negative control were seeded in 96-well flat-bottomed plates at a density of 1,500 cells/well. At each monitored time (0, 24, 48, 72 and 96 h), 10 μL CCK-8 reagent was added into the corresponding wells and incubated at 37°C for 2 h prior to reading absorbance at 450 nm by using a microplate reader (Tecan, Männedorf, Switzerland). For the clonogenic assay, a certain number of cells transfected with si-PANDAR or si-NC were trypsinized into a single-cell suspension and planted in each well of a 3.5 cm dish and maintained in proper media supplemented with 10% FBS for about 14 days until there were visible colonies formed. After fixation with paraformaldehyde and staining with 0.1% crystal violet (Beyotime, Haimen, People’s Republic of China), number of colonies were counted from three randomly chosen fields under a light microscope.

Cell apoptosis assays

QBC939 and RBE cells transfected with corresponding siRNA in the exponential growth phase were trypsinized and washed twice with cold PBS, followed by resuspension in the provided binding buffer. After being labeled with 5 μL Annexin V and 5 μL propidium iodide (BD Biosciences, San Jose, CA, USA) and incubated at room temperature for 15 min according to the manufacturer’s instructions, the treated cells were then detected by flow cytometry (FACScan, BD Biosciences). Cell apoptosis was also determined by acridine orange/ethidium bromide (AO/EB) double fluorescence staining analysis. AO instantly permeates intact cell membrane and stains the nucleus with green fluorescence. EB stains DNA in orange or red fluorescence when the cell membrane is broken. Thus, AO/EB staining helps to differentiate live cells from apoptotic cells. In brief, after 48 h transfection, cells were stained with prepared AO/EB mixing solution for 5 min (Solarbio, Beijing, People’s Republic of China) before observation under a fluorescence microscope.

Relative caspase activity determination

Caspase-3 and caspase-9 were introduced to evaluate si-PANDAR induced apoptosis in this study. The relative expression of caspase-3 and caspase-9 was measured using the Caspase-3 Activity Kit and Caspase-9 Activity Kit (Solarbio). In brief, proteins were lysed from siRNA-treated cells after 48 h and then were added into 96-well plates with 90 μL of the reaction buffer and caspase substrate (2 mM). After incubation at 37°C for 4 h, caspase activity was measured by a microplate reader at 405 nm.

Wound healing assay

QBC939 and RBE cells transfected with si-PANDAR and their corresponding control cells were plated in 6-well plates and were grown up to a confluency of 70%–80%. Straight wounds were created by scraping the cells with a 200 μL pipette tip and the cell debris was cleaned up. Photographs of wound closure area were captured 0 h and 36 h after wound formation.

Migration and invasion assays

The cell motility assay was performed by using 24-well transwell chamber (Costar, Washington, DC, USA) with or without 40 μL Matrigel (BD Biosciences) coating. Transfected cells (5×104 cells/well) were suspended in 0.2 mL serum-free medium prior to the addition of upper chamber of inserts in the 24-well plate. The lower compartment was filled with 0.6 mL of complete medium. After 24 h incubation, the cells migrated or invaded through membrane were fixed with paraformaldehyde and were stained with 0.1% crystal violet. Three randomly high-power fields were counted. Experiments were performed in triplicate.

Western blot assay

After 48 h transfection, QBC939 and RBE cells were lysed in RIPA buffer with protease inhibitors (Beyotime). Protein concentration was measured by the bicinchoninic acid method (Beyotime). Equal amounts of proteins were electrophoresed on sodium dodecyl sulfate polyacrylamide gel before being transferred to polyvinylidene fluoride membranes (GE Healthcare, Milwaukee, WI, USA). Afterwards, 5% nonfat milk diluted in Tris-buffered saline containing 0.05% Tween-20 was used to block the membrane. Then, the membranes were incubated with primary antibodies to E-cadherin, N-cadherin, Vimentin, Bax, Bcl-2, MMP-9 or GAPDH (Abcam, Cambridge, MA, USA) overnight, followed by probing with an HRP-conjugated secondary antibody (Cell Signalling Technologies, Danvers, MA, USA) for 2 h. The bound antibodies were detected using an enhanced chemiluminescence kit (Beyotime).

Statistical analysis

All statistical tests were conducted by using GraphPad Prism 5.01 software (GraphPad Software, Inc., La Jolla, CA, USA) and SPSS 19.0 statistical software package (IBM, Armonk, NY, USA). All experimental results from three independent experiments were expressed as mean ± standard deviation (SD) and analyzed using Student’s t-test. Survival analysis was calculated by Kaplan–Meier method with the log-rank test. Fisher’s exact test was applied to evaluate the links between PANDAR and clinicopathological parameters. Survival data were analyzed using univariate and multivariate Cox regression methods. A P-value <0.05 was considered statistically significant.

Results

PANDAR is upregulated in CCA clinical samples and cell lines

First, we explored the relative expression of PANDAR in tumor and adjacent noncancerous tissues of patients with CCA. As shown in Figure 1A, the relative expression of PANDAR in tumor tissues from patients with CCA was remarkably increased compared with the corresponding nontumor tissue by qRT-PCR. The expression of PANDAR in CCA cell lines including KMBC, HCCC-9810, HuCCT1, CCLP-1, Huh-28, QBC939 and RBE was also higher than that of HIBEC (Figure 1B).
Figure 1

Relative expression of PANDAR in CCA and its clinical significance.

Notes: (A) Relative expression of PANDAR in CCA tissues and adjacent nontumor tissues were determined by qRT-PCR; (B) Relative expression of PANDAR in HIBEC and CCA cell lines were determined by qRT-PCR; (C) Kaplan–Meier survival curves showed that overexpression of PANDAR decreased overall survival in patients with CCA. *P<0.05, **P<0.01, ***P<0.001.

Abbreviations: CCA, cholangiocarcinoma; qRT-PCR, quantitative real-time PCR.

PANDAR overexpression is correlated with poor prognosis of patients with CCA

To verify the clinical significance of PANDAR in CCA, we evaluated the correlation of PANDAR expression with the clinicopathological characteristics of patients with CCA. As shown in Table 1, the high PANDAR group patients showed a more frequent lymph node invasion (P=0.004), advanced TNM stage (P=0.034) and more postoperative recurrence (P=0.006). However, the other parameters, such as patients’ gender, age and tumor site, were not associated with the expression of PANDAR. Moreover, Kaplan–Meier overall survival analysis and the log-rank test showed that patients with CCA with higher PANDAR expression had the worse overall survival after surgical procedure (Figure 1C). The univariate Cox regression analyses of overall survival showed that the lymph node invasion (P=0.023), TNM stage (P=0.020), postoperative recurrence (P=0.004) and PANDAR expression (P=0.005) were good prognostic indicators. Furthermore, multivariate Cox regression analyses confirmed the expression of PANDAR as an independent predictor for overall survival in patients with CCA (P=0.041, Table 2).
Table 1

Association between PANDAR expression and clinicopathological characteristics of CCA

Clinicopathological featuresNo of patients (n)PANDAR expression
P-value
High (n)Low (n)
Gender0.457
 Male291910
 Female382117
Age in years0.307
 <60412219
 ≥6026188
Tumor site0.382
 Intrahepatic1376
 Perihilar301614
 Distal24177
Tumor stage0.799
 T1–224159
 T3–4432518
Lymph node invasion0.004
 Present443212
 Absent23815
Vascular invasion0.794
 Positive21129
 Negative462818
TNM stage0.034
 I–II15510
 III–IV523517
Histology type0.142
 Papillary936
 Nonpapillary583721
Differentiation grade0.602
 Well/moderately221210
 Poorly/undifferentiated452817
Postoperative recurrence0.006
 Present523616
 Absent15411
Serum CEA level0.193
 >5 ng/mL442915
 ≤5 ng/mL231112
Serum CA19-9 level0.221
 >37 U/mL533419
 ≤37 U/mL1468
HBV infection0.788
 Positive19127
 Negative482820

Abbreviations: CEA, carcinoembryonic antigen; CA19-9, carbohydrate antigen 19-9; HBV, hepatitis B virus.

Table 2

Univariate and multivariate analysis of prognostic factors for overall survival in patients with CCA

VariablesUnivariate analysis
Multivariate analysis
HR95% CIP-valueHR95% CIP-value
Overall survival
Gender (male vs female)1.0850.643–1.8320.759
Age (≥60 vs <60 years)1.0630.626–1.8050.822
Tumor site (extrahepatic vs intrahepatic)1.0340.535–2.0000.920
Tumor stage (T3–4 vs T1–2)1.4330.824–2.4900.202
Lymph node invasion (positive vs negative)1.9531.096–3.4800.0230.189
Vascular invasion (positive vs negative)1.3410.773–2.3280.296
TNM stage (III–IV vs I–II)2.361.147–4.8590.0200.307
Histology type (papillary vs nonpapillary)0.6160.264–1.4400.264
Differentiation grade (poorly/undifferentiated vs well/moderately)1.7480.987–3.0980.0560.145
Postoperative recurrence (present vs absent)2.9031.409–5.9820.0042.4331.157–5.1180.019
Serum CEA level (>5 ng/mL vs ≤5 ng/mL)1.3680.781–2.3960.273
Serum CA19-9 level (>37 U/mL vs ≤37 U/mL)1.4750.761–2.8590.250
HBV infection (positive vs negative)1.4260.806–2.5210.223
PANDAR expression (high vs low)2.2281.269–3.9130.0051.8301.026–3.2640.041

Note: Data in bold indicates statistical significance at P<0.05.

Abbreviations: CA19-9, carbohydrate antigen 19-9; CEA, carcinoembryonic antigen; HBV, hepatitis B virus.

PANDAR depletion inhibits cell proliferation

To shed light on the roles of PANDAR in CCA, first, three siRNA targeting PANDAR and a scrambled nucleotide were transfected into QBC939 and RBE cells separately because the two cell lines expressed highest levels of PANDAR. Then, transfection analysis by flow cytometry demonstrated that the transfection efficiency of the fluorescence-labeled siRNA and Lipofectamine 3000 transfection reagent mixture reached 70%–90% in the two selected cell lines (Figure 2A). At 48 h after incubation, the relative expression of PANDAR was detected by qRT-PCR, and the results revealed a dramatic decline of PANDAR in all the three siRNAs targeting PANDAR compared to si-NC groups (Figure 2B). Among these, si-PANDAR-2 got the most powerful knockdown efficiency, and thus was chosen for subsequent studies. Compared to the negative control, transfection with PANDAR siRNA resulted in a remarkably restrained QBC939 and RBE cell viability as monitored by CCK-8 proliferation assay (Figure 2C). Moreover, clonogenic assay was conducted to probe the effect of PANDAR on anchor-independent growth of QBC939 and RBE cells. As shown in Figure 2D, CCA cells transfected with si-PANDAR-2 significantly abrogated the formative colony numbers.
Figure 2

Transfection and knockdown efficiency of PANDAR-specific siRNAs and PANDAR depletion retarded cell proliferation and colony formation in CCA cells.

Notes: (A) Transfection efficiency detected by flow cytometry in QBC939 and RBE cells; (B) Relative expression of PANDAR in QBC939 and RBE cells was significantly decreased by three siRNAs specifically targeting PANDAR compared with si-NC; (C) CCK-8 assay showed that silenced PANDAR inhibited cell proliferation of QBC939 and RBE cells; (D) Clonogenic assay showed that silenced PANDAR dramatically impaired the colony formation ability of QBC939 and RBE cells. *P<0.05, **P<0.01.

Abbreviation: CCA, cholangiocarcinoma.

Knockdown of PANDAR increases apoptosis of CCA cells

Flow cytometric analysis clarified that silencing of PANDAR induced apoptosis of CCA cells (Figure 3A). AO/EB double fluorescence staining assay showed similar results subsequently (Figure 3B). Next, we examined the activity of caspase-3 and caspase-9 in response to PANDAR. According to the results, PANDAR knockdown increased the expression of caspase-3 and caspase-9 in CCA cells (Figure 3C). Western blot analysis showed that silencing of PANDAR restrained the expression of Bcl-2 and increased the expression of Bax (Figure 3D).
Figure 3

PANDAR depletion increased apoptosis in CCA cells.

Notes: (A) Flow cytometry for apoptosis analysis showed that silenced PANDAR significantly promoted apoptosis of QBC939 and RBE cells compared to negative control siRNA; (B) AO/EB double fluorescence staining assay showed that silenced PANDAR significantly promoted apoptosis of QBC939 and RBE cells compared to negative control siRNA (×200); (C) Relative expression of caspase-3 and caspase-9 in QBC939 and RBE cells were activated by si-PANDAR-2; (D) Western blot analysis showed that knockdown of PANDAR restrained the expression of Bcl-2 and increased Bax expression in QBC939 and RBE cells. *P<0.05, **P<0.01.

Abbreviations: CCA, cholangiocarcinoma; AO/EB, acridine orange/ethidium bromide.

Silenced PANDAR inhibits metastasis in vitro and affects EMT in CCA cells

To estimate the extent of PANDAR function in migration and invasion of CCA, we introduced wound healing assay and Transwell assay for detection. Interestingly, cells transfected with selected siRNA specifically targeting PANDAR led to less wound closure area than si-NC group (Figure 4A). Moreover, Transwell assay demonstrated that the migration capacity as well as invasive potential of the two selected cells was strikingly impaired due to PANDAR depletion (Figure 4B and C). Furthermore, MMP-9 was downregulated after silencing of PANDAR as seen by western blot analysis (Figure 4D). EMT is a vital mechanism associated with cell migration and invasion. Hence, we detected the expression of EMT-related proteins in CCA cells after transfection with corresponding siRNA. According to our results of western blot assay, the expression levels of N-cadherin and Vimentin examined were strikingly decreased, whereas the expression of E-cadherin was boosted followed by si-PANDAR (Figure 4E).
Figure 4

Knockdown of PANDAR impaired migration and invasion capacity in vitro and reversed EMT of CCA cells.

Notes: (A) Wound healing assay showed that silenced PANDAR inhibited migration ability of QBC939 and RBE cells (×50); (B) Transwell migration assay showed that silenced PANDAR inhibited migration capacity of QBC939 and RBE cells (×100); (C) Transwell invasion assay showed that silenced PANDAR inhibited invasion potential of QBC939 and RBE cells (×100); (D) Western blot analysis showed that knockdown of PANDAR restrained the expression of MMP-9 in QBC939 and RBE cells; (E) Knockdown of PANDAR reversed EMT in QBC939 and RBE cells. *P<0.05, **P<0.01.

Abbreviations: CCA, cholangiocarcinoma; EMT, epithelial-to-mesenchymal transition.

Discussion

During the past decades, the worldwide incidence of CCA has increased, especially in Asian countries.2,21,22 In addition, CCA is widely known to be an aggressive malignancy of the biliary duct that shows high mortality rate typically due to its late presentation and limited treatment measures.23,24 Therefore, the detection of specific therapeutic targets as well as identification of new diagnostic and prognostic biomarkers is the need of the hour for patients with CCA. lncRNAs were mistaken for nonfunctional secondary product of transcription for ages. During the past few years, lncRNAs were shown to be vital elements in cell biology and human diseases, especially in various cancers. Numerous evidences indicate that lncRNAs have imperative roles in various cancer-related processes including tumorigenesis, metastasis and angiogenesis.25–27 However, studies regarding the association between lncRNAs and CCA are scarce. Therefore, in this study, we focused on the novel cancer-related lncRNA PANDAR, which has got much attention in recent years and may provide new insights into CCA. In this study, we found that PANDAR expression was upregulated not only in CCA tissue samples but also in CCA cell lines, which is in line with all of the digestive system neoplasms studied to date.17,18,20 We further explored the correlation of expression of PANDAR with clinicopathological features of patients with CCA and the data showed that higher PANDAR expression was closely associated with lymph node invasion, advanced TNM stage and postoperative recurrence. The patients with higher PANDAR expression had statistically shorter survival time than those with lower PANDAR expression (by Kaplan–Meier analysis). Further multivariate analysis confirmed that PANDAR serves as an independent indicator for patients’ overall survival. Taken together, the results of this study suggests that PANDAR is an oncogenic player or a predictor of overall survival for CCA. Recent studies indicated that PANDAR was upregulated and led to cell growth in multiple cancers, such as gastric cancer, hepatocellular carcinoma, bladder carcinoma, colon cancer and breast cancer.17–20,28 A recent study indicated that PANDAR acts as a tumor-promoter in breast cancer by regulating G1/S transition. PANDAR-mediated promotion of cell proliferation occurs via regulation of p16INK4A.28 In order to understand the biological functions of PANDAR in CCA, we examined the differences in cell proliferation after suppressing PANDAR expression by using CCK-8 and colony formation assays. The results showed that cell viability and colony formation capacity were both abrogated in the PANDAR knockdown groups. Apoptosis signaling can be activated by receptor-mediated pathway and mitochondrial pathway and both of the pathways are correlated with the regulation of caspase-3, caspase-9, Bcl-2 and Bax. In our study, flow cytometric analysis as well as AO/EB staining assay showed that PANDAR acts as a defender against cancer apoptosis, and apoptosis-related factors (caspase-3 and caspase-9) were both activated analyzed by caspases detection. Furthermore, Bcl-2 was downregulated after PANDAR knockdown, whereas Bax was activated followed by silencing of PANDAR. These results suggest that Bcl-2/caspase-3 pathway act by mediating apoptosis induced by the downregulation of PANDAR. Next, we performed Transwell and western blot assays to explore whether expression of PANDAR affects migration capacity and invasive potential of CCA cells in vitro and investigate its associations with MMP-9. Transwell assay showed that siRNA targeting PANDAR significantly reduced the migration and invasion of CCA cells. MMP-9 has been proved to facilitate the invasion capacity of cancer cells by damaging the histological barrier around the extracellular matrix.29 In this study, we found that MMP-9 was decreased followed by the knockdown of PANDAR. These results demonstrate that PANDAR facilitates invasion potential partly by upregulating MMP-9 expression. EMT, a major mechanism involved in cell invasiveness, was proven to be involved in tumor metastasis, and the characteristics of EMT included the lost E-cadherin and enhanced N-cadherin and Vimentin expression.30–32 It has been reported that LINC01133 inhibits EMT and metastasis in colorectal carcinoma via binding to SRSF6 as a target mimic.33 In addition, overexpressed MALAT1 in tongue cancer activated EMT and restrained cell apoptosis by regulating Wnt/beta-catenin signaling pathway.34 For CCA, E-cadherin and N-cadherin switch promotes cell progression through TGF-beta-induced EMT, which suggested a target for illuminating the mechanisms of invasion and metastasis in CCA.35 In this study, western blot results showed reversed EMT markers after knockdown of PANDAR, which indicates that PANDAR is involved in mechanisms related to the facilitation of CCA cell migration and invasion, and impaired the potential of metastasis in vitro partly by regulating the EMT pathway. In our study, there are still some limitations to come to an incontrovertible conclusion. CCA is a multifactorial, multistep, aggressive disease with various genes activated or silenced. Moreover, the molecular mechanisms of lncRNAs seem to be highly diverse and act at miscellaneous levels to manipulate cancer development and progression. Hence, further studies are needed to unravel the precise mechanism behind the altered expression of PANDAR in CCA.

Conclusion

We first confirmed that PANDAR was statistically overexpressed in CCA and therefore might be a potential indicator of a negative prognosis for patients with CCA. Moreover, downregulation of PANDAR inhibited the proliferation, migration, invasion and EMT of CCA cells and facilitate its apoptosis. In summary, these results indicate that PANDAR plays oncogenic roles in CCA and serves as a potential prognostic biomarker and therapeutic target for treatment of CCA.
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1.  Long non-coding RNA small nucleolar RNA host gene 12 (SNHG12) promotes cell proliferation and migration by upregulating angiomotin gene expression in human osteosarcoma cells.

Authors:  Wendong Ruan; Pei Wang; Shiqing Feng; Yuan Xue; Yulin Li
Journal:  Tumour Biol       Date:  2015-10-20

2.  Long non-coding RNA LINC01133 inhibits epithelial-mesenchymal transition and metastasis in colorectal cancer by interacting with SRSF6.

Authors:  Jianlu Kong; Wenjie Sun; Chen Li; Ledong Wan; Shuo Wang; Yihua Wu; Enping Xu; Honghe Zhang; Maode Lai
Journal:  Cancer Lett       Date:  2016-07-18       Impact factor: 8.679

3.  MALAT1 induces tongue cancer cells' EMT and inhibits apoptosis through Wnt/β-catenin signaling pathway.

Authors:  Jun Liang; Lizhong Liang; Kexiong Ouyang; Zhiqiang Li; Xianping Yi
Journal:  J Oral Pathol Med       Date:  2016-06-29       Impact factor: 4.253

4.  Long non-coding RNA ANRIL is required for the PRC2 recruitment to and silencing of p15(INK4B) tumor suppressor gene.

Authors:  Y Kotake; T Nakagawa; K Kitagawa; S Suzuki; N Liu; M Kitagawa; Y Xiong
Journal:  Oncogene       Date:  2010-12-13       Impact factor: 9.867

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Authors:  Feng Wang; Hongbing Ni; Feng Sun; Min Li; Lin Chen
Journal:  Biomed Pharmacother       Date:  2016-04-16       Impact factor: 6.529

Review 7.  Pathogenesis, diagnosis, and management of cholangiocarcinoma.

Authors:  Sumera Rizvi; Gregory J Gores
Journal:  Gastroenterology       Date:  2013-10-15       Impact factor: 22.682

8.  The transcriptional landscape of the mammalian genome.

Authors:  P Carninci; T Kasukawa; S Katayama; J Gough; M C Frith; N Maeda; R Oyama; T Ravasi; B Lenhard; C Wells; R Kodzius; K Shimokawa; V B Bajic; S E Brenner; S Batalov; A R R Forrest; M Zavolan; M J Davis; L G Wilming; V Aidinis; J E Allen; A Ambesi-Impiombato; R Apweiler; R N Aturaliya; T L Bailey; M Bansal; L Baxter; K W Beisel; T Bersano; H Bono; A M Chalk; K P Chiu; V Choudhary; A Christoffels; D R Clutterbuck; M L Crowe; E Dalla; B P Dalrymple; B de Bono; G Della Gatta; D di Bernardo; T Down; P Engstrom; M Fagiolini; G Faulkner; C F Fletcher; T Fukushima; M Furuno; S Futaki; M Gariboldi; P Georgii-Hemming; T R Gingeras; T Gojobori; R E Green; S Gustincich; M Harbers; Y Hayashi; T K Hensch; N Hirokawa; D Hill; L Huminiecki; M Iacono; K Ikeo; A Iwama; T Ishikawa; M Jakt; A Kanapin; M Katoh; Y Kawasawa; J Kelso; H Kitamura; H Kitano; G Kollias; S P T Krishnan; A Kruger; S K Kummerfeld; I V Kurochkin; L F Lareau; D Lazarevic; L Lipovich; J Liu; S Liuni; S McWilliam; M Madan Babu; M Madera; L Marchionni; H Matsuda; S Matsuzawa; H Miki; F Mignone; S Miyake; K Morris; S Mottagui-Tabar; N Mulder; N Nakano; H Nakauchi; P Ng; R Nilsson; S Nishiguchi; S Nishikawa; F Nori; O Ohara; Y Okazaki; V Orlando; K C Pang; W J Pavan; G Pavesi; G Pesole; N Petrovsky; S Piazza; J Reed; J F Reid; B Z Ring; M Ringwald; B Rost; Y Ruan; S L Salzberg; A Sandelin; C Schneider; C Schönbach; K Sekiguchi; C A M Semple; S Seno; L Sessa; Y Sheng; Y Shibata; H Shimada; K Shimada; D Silva; B Sinclair; S Sperling; E Stupka; K Sugiura; R Sultana; Y Takenaka; K Taki; K Tammoja; S L Tan; S Tang; M S Taylor; J Tegner; S A Teichmann; H R Ueda; E van Nimwegen; R Verardo; C L Wei; K Yagi; H Yamanishi; E Zabarovsky; S Zhu; A Zimmer; W Hide; C Bult; S M Grimmond; R D Teasdale; E T Liu; V Brusic; J Quackenbush; C Wahlestedt; J S Mattick; D A Hume; C Kai; D Sasaki; Y Tomaru; S Fukuda; M Kanamori-Katayama; M Suzuki; J Aoki; T Arakawa; J Iida; K Imamura; M Itoh; T Kato; H Kawaji; N Kawagashira; T Kawashima; M Kojima; S Kondo; H Konno; K Nakano; N Ninomiya; T Nishio; M Okada; C Plessy; K Shibata; T Shiraki; S Suzuki; M Tagami; K Waki; A Watahiki; Y Okamura-Oho; H Suzuki; J Kawai; Y Hayashizaki
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

9.  E/N-cadherin switch mediates cancer progression via TGF-β-induced epithelial-to-mesenchymal transition in extrahepatic cholangiocarcinoma.

Authors:  K Araki; T Shimura; H Suzuki; S Tsutsumi; W Wada; T Yajima; T Kobayahi; N Kubo; H Kuwano
Journal:  Br J Cancer       Date:  2011-11-08       Impact factor: 7.640

10.  Long noncoding RNA CRNDE functions as a competing endogenous RNA to promote metastasis and oxaliplatin resistance by sponging miR-136 in colorectal cancer.

Authors:  Hongyan Gao; Xiaodi Song; Ting Kang; Baohong Yan; Li Feng; Li Gao; Liang Ai; Xiaoni Liu; Jie Yu; Huiqi Li
Journal:  Onco Targets Ther       Date:  2017-01-05       Impact factor: 4.147

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Review 1.  Long non-coding PANDAR as a novel biomarker in human cancer: A systematic review.

Authors:  Yifan Zou; Yuantang Zhong; Junjie Wu; Huizhong Xiao; Xintao Zhang; Xinhui Liao; Jianfa Li; Xuhua Mao; Yuchen Liu; Fuyou Zhang
Journal:  Cell Prolif       Date:  2017-12-10       Impact factor: 6.831

Review 2.  Long non-coding RNAs are emerging targets of phytochemicals for cancer and other chronic diseases.

Authors:  Shruti Mishra; Sumit S Verma; Vipin Rai; Nikee Awasthee; Srinivas Chava; Kam Man Hui; Alan Prem Kumar; Kishore B Challagundla; Gautam Sethi; Subash C Gupta
Journal:  Cell Mol Life Sci       Date:  2019-03-16       Impact factor: 9.261

Review 3.  NcRNAs and Cholangiocarcinoma.

Authors:  Zheng Wangyang; Ji Daolin; Xu Yi; Li Zhenglong; Huang Lining; Cui Yunfu; Jiang Xingming
Journal:  J Cancer       Date:  2018-01-01       Impact factor: 4.207

4.  Long non-coding RNA HOTAIR promotes tumorigenesis and forecasts a poor prognosis in cholangiocarcinoma.

Authors:  Wei Qin; Pengcheng Kang; Yi Xu; Kaiming Leng; Zhenglong Li; Lining Huang; Jianjun Gao; Yunfu Cui; Xiangyu Zhong
Journal:  Sci Rep       Date:  2018-08-15       Impact factor: 4.379

Review 5.  lncRNAs as potential molecular biomarkers in the clinicopathology and prognosis of cholangiocarcinoma: a systematic review and meta-analysis.

Authors:  Kangfu Dai; Jing Quan; Fangli Yan; Xinghan Jin; Xiang Pan; Xiaorui Song; Shijie Zhang; Qingqi Ren; Jikui Liu; Xiaoping Liu
Journal:  Onco Targets Ther       Date:  2019-03-08       Impact factor: 4.147

6.  LncRNA LUCAT1 as a novel prognostic biomarker for patients with papillary thyroid cancer.

Authors:  B Luzón-Toro; R M Fernández; J M Martos-Martínez; M Rubio-Manzanares-Dorado; G Antiñolo; S Borrego
Journal:  Sci Rep       Date:  2019-10-07       Impact factor: 4.379

7.  Up-regulated LncRNA-ATB regulates the growth and metastasis of cholangiocarcinoma via miR-200c signals.

Authors:  Hai Lin; Lili Yang; Feng Tian; Shuang Nie; Hailang Zhou; Jun Liu; Weichang Chen
Journal:  Onco Targets Ther       Date:  2019-09-13       Impact factor: 4.147

8.  Long noncoding RNA PANDAR blocks CDKN1A gene transcription by competitive interaction with p53 protein in gastric cancer.

Authors:  Jun Liu; Qiwen Ben; Eryi Lu; Xiangyi He; Xiaoqun Yang; Jun Ma; Wen Zhang; Zhiming Wang; Tianshu Liu; Jianjun Zhang; Hongxia Wang
Journal:  Cell Death Dis       Date:  2018-02-07       Impact factor: 8.469

Review 9.  Long Non-Coding RNAs in Biliary Tract Cancer-An Up-to-Date Review.

Authors:  Dino Bekric; Daniel Neureiter; Markus Ritter; Martin Jakab; Martin Gaisberger; Martin Pichler; Tobias Kiesslich; Christian Mayr
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.241

Review 10.  Non-Coding RNAs and Resistance to Anticancer Drugs in Gastrointestinal Tumors.

Authors:  Jens C Hahne; Nicola Valeri
Journal:  Front Oncol       Date:  2018-06-18       Impact factor: 6.244

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