Literature DB >> 32085715

lncRNA-PLACT1 sustains activation of NF-κB pathway through a positive feedback loop with IκBα/E2F1 axis in pancreatic cancer.

Xiaofan Ren1,2, Changhao Chen3,4, Yuming Luo5, Mingyang Liu6, Yuting Li1,2, Shangyou Zheng5, Huilin Ye5, Zhiqiang Fu5, Min Li7, Zhihua Li8,9, Rufu Chen10.   

Abstract

BACKGROUND: The activation of NF-κB signaling pathway is regarded as the dominant process that correlates with tumorigenesis. Recently, increasing evidence shows that long noncoding RNAs (lncRNAs) play crucial roles in sustaining the NF-κB signaling pathway. However, the underlying mechanisms have not yet been elucidated.
METHODS: The expression and clinical features of PLACT1 were analyzed in a 166-case cohort of PDAC by qRT-PCR and in situ hybridization. The functional role of PLACT1 was evaluated by both in vitro and in vivo experiments. Chromatin isolation by RNA purification assays were utilized to examine the interaction of PLACT1 with IκBα promoter.
RESULTS: We identified a novel lncRNA-PLACT1, which was significantly upregulated in tumor tissues and correlated with progression and poor survival in PDAC patients. Moreover, PLACT1 promoted the proliferation and invasion of PDAC cells in vitro. Consistently, PLACT1 overexpression fostered the progression of PDAC both in orthotopic and lung metastasis mice models. Mechanistically, PLACT1 suppressed IκBα expression by recruiting hnRNPA1 to IκBα promoter, which led to increased H3K27me3 that decreased the transcriptional level of IκBα. Furthermore, E2F1-mediated overexpression of PLACT1 modulated the progression of PDAC by sustained activation of NF-κB signaling pathway through forming a positive feedback loop with IκBα. Importantly, administration of the NF-κB signaling pathway inhibitor significantly suppressed PLACT1-induced sustained activation of NF-κB signaling pathway, leading to reduced tumorigenesis in vivo.
CONCLUSIONS: Our findings suggest that PLACT1 provides a novel epigenetic mechanism involved in constitutive activation of NF-κB signaling pathway and may represent a new therapeutic target of PDAC.

Entities:  

Keywords:  IκBα; Long noncoding RNA; NF-κB signaling pathway; Pancreatic ductal adenocarcinoma; Positive feedback loop

Mesh:

Substances:

Year:  2020        PMID: 32085715      PMCID: PMC7033942          DOI: 10.1186/s12943-020-01153-1

Source DB:  PubMed          Journal:  Mol Cancer        ISSN: 1476-4598            Impact factor:   27.401


Background

Pancreatic ductal adenocarcinoma (PDAC) is a devastating digestive system cancer with rapid progression and poor prognosis [1, 2]. Despite various studies of the mechanism and clinical trials, the 5-year survival rate for PDAC remains low at around 9% [3]. One important reason for the dismal prognosis is the highly aggressive nature and early-stage metastasis of PDAC [4, 5]. Therefore, identifying an early diagnostic and therapeutic biomarker involved in PDAC progression is of significant clinical value. The activation of the nuclear factor κB (NF-κB) signaling pathway is regarded as the dominant process that correlates inflammation with carcinogenesis [6, 7]. When cytokine stimulation acts on the pathway, inhibitory κB (IκB) is phosphorylated by activated IκB kinase (IKK) complex, which induces inhibitory κBα (IκBα) ubiquitination and degradation [8]. Then, NF-κB arrested by IκB in the cytoplasm is released and translocated into the nucleus, resulting in transcriptional activation of various genes [8, 9]. The intensity and duration of NF-κB signaling are regulated by various mechanisms. The oncogene Kras G12D is verified to maintain NF-κB activity by inducing an IL-1a/IKKβ/p62 feedforward loop in PDAC [10]. GSK-3 mediates both classical and non-canonical NF-κB activation and promotes pancreatic cancer cell growth and survival [11, 12]. Nevertheless, the mechanism underlying the constitutive activation of NF-κB signaling pathway in PDAC remains poorly understood. Long noncoding RNAs (lncRNAs), known as RNAs greater than 200 nt in length and that lack the ability to code for protein, play multiple roles in human cancers through all stages of their development and progression [13, 14]. An increasing number of lncRNAs are characterized by participating in metastasis [15, 16]. Nevertheless, only a fraction of lncRNAs have demonstrated the precise mechanisms for their functions. Several studies revealed that lncRNAs regulate signal transduction in the NF-κB signaling pathway by interacting with the function domain of NF-κB and its transcripts directly [17, 18]. For instance, lncRNA PACER sequesters a repressive subunit of NF-κB in order to enhance the signal [19]. NKILA and Lethe block the activation of the NF-κB signaling pathway through binding to the NF-κB/ IκB complex [20, 21]. Although various lncRNAs have been discovered, the mechanism for their role in regulating the NF-κB signaling pathway is not yet fully elucidated. In the present study, we reported that a novel lncRNA RP11-1149O23.3, termed pancreatic cancer associated transcript 1 (PLACT1), was upregulated in PDAC tissues and was positively associated with poor prognosis of patients with PDAC. PLACT1 overexpression facilitated PDAC cells proliferation and invasion in vitro and in vivo. Moreover, we demonstrated that PLACT1 downregulated IκBα expression by recruiting heterogeneous nuclear ribonucleoprotein A1 (hnRNPA1) to the IκBα promoter. In addition, E2F transcription factor 1 (E2F1)-mediated overexpression of PLACT1 modulated the progression of PDAC by sustained activation of the NF-κB signaling pathway through forming a positive feedback loop with IκBα.

Methods

Patients and clinical samples

PDAC specimens were obtained from patients who underwent surgery at Sun Yat-sen Memorial Hospital of Sun Yat-sen University between February 2008 and February 2018. Details are provided in Additional file 1.

RNA pull-down assays

The PLACT1-binding proteins were examined using RNA pull-down assays according to the instructions of Magnetic RNA-Protein Pull-Down Kit (Thermo Scientific). Details are provided in Additional file 1.

Chromatin isolation by RNA purification (ChIRP) assays

The interaction between PLACT1 and the promoter of IκBα was determined using ChIRP assays according to the instructions of the Magna ChIRP™ Chromatin Isolation by RNA Purification Kit (Millipore, USA). Details are provided in Additional file 1.

Statistical analysis

All statistical analyses were performed using SPSS 13.0 software (IBM, SPSS, Chicago, IL, USA). Details are provided in Additional file 1.

Further applied methods

Additional cell culture, lentivirus infection, cell transfection, in situ hybridization (ISH), immunohistochemistry (IHC), qRT-PCR, rapid amplification of cDNA ends (RACE), Cell Counting Kit-8 (CCK-8), EdU, colony formation, wound healing, Transwell, animal treatments, western blotting, RNA Immunoprecipitation (RIP), nuclear-plasma fractionation, immunofluorescence, fluorescence in situ hybridization (FISH), circular dichroism (CD) spectroscopy, fluorescence resonance energy transfer (FRET), dual-luciferase reporter, and Chromatin Immunoprecipitation (ChIP) assays and bioinformatics analysis are further described in the Additional file 1.

Results

PLACT1 was correlated with a poor prognosis in human PDAC

To identify the critical lncRNAs that involved in PDAC progression, we previously performed microarray analysis on eight PDAC tissues and four non-tumorous tissues (GEO, ID: GSE61166). Twenty-six and Fifty-nine lncRNAs were upregulated and downregulated, respectively, more than 5-fold in PDAC tissues compared with non-tumorous tissues (Additional file 2: Fig. S1a, b). We selected top 5 candidate lncRNAs according to their fold changes for further validation in a larger cohort of 166 cases of PDAC tissues and paired normal adjacent tissues (NAT), as well as in The Cancer Genome Atlas (TCGA) database. We noted that only PLACT1 was significantly overexpressed in PDAC tissues both in the cohort and TCGA database (p < 0.001, Fig. 1a, b). PLACT1 is located on chromosome 8p21.3 in human and contains a polyadenylated tail at the 3′ terminus (Additional file 2: Fig. S1c, d). The subcellular localization of PLACT1 was assessed using FISH and subcellular fractionation assays and the results showed that PLACT1 was localized to both the nuclei and cytoplasm in PDAC cells (Additional file 2: Fig. S1e-g).
Fig. 1

PLACT1 overexpression is associated with poor prognosis of PDAC. a The expression of PLACT1 in human PDAC tissues (n = 166) paired with normal adjacent tissues (n = 166) were quantified by qRT-PCR analysis. The results were determined by nonparametric Mann–Whitney U-test. b TCGA and Genotype-Tissue Expression (GTEx) data showed that PLACT1 is upregulated in PDAC tissues (n = 179) relative to non-tumorous tissues (n = 171). The nonparametric Mann-Whitney U test was used. c-d qRT-PCR assays evaluated the correlation of PLACT1 expression in human PDAC tissues (n = 166) with LN status (c) and tumor stages (d). The results were determined by nonparametric Mann–Whitney U-test. e-f ISH analysis of PLACT1 expression (blue) in the paraffin-embedded NAT (n = 60) and tumor sections of PDAC (n = 60). Representative images (e) from two clinical cases and H-score (f) are shown. Statistical significance was assessed by χ2 test. Scale bars: 50 μm. g-h The Kaplan–Meier curves represented overall survival (g) and disease-free survival (h) of PDAC patients with low vs. high expression of PLACT1. The cutoff value was the median expression of PLACT1. i-j PDAC patients from the TCGA data were divided into low and high PLACT1expression groups; overall survival (i) and disease-free survival (j) of the patients in the groups used Kaplan-Meier survival analysis. p-values was calculated by the log-rank (Mantel-Cox) test. *p < 0.05; **p < 0.01

PLACT1 overexpression is associated with poor prognosis of PDAC. a The expression of PLACT1 in human PDAC tissues (n = 166) paired with normal adjacent tissues (n = 166) were quantified by qRT-PCR analysis. The results were determined by nonparametric Mann–Whitney U-test. b TCGA and Genotype-Tissue Expression (GTEx) data showed that PLACT1 is upregulated in PDAC tissues (n = 179) relative to non-tumorous tissues (n = 171). The nonparametric Mann-Whitney U test was used. c-d qRT-PCR assays evaluated the correlation of PLACT1 expression in human PDAC tissues (n = 166) with LN status (c) and tumor stages (d). The results were determined by nonparametric Mann–Whitney U-test. e-f ISH analysis of PLACT1 expression (blue) in the paraffin-embedded NAT (n = 60) and tumor sections of PDAC (n = 60). Representative images (e) from two clinical cases and H-score (f) are shown. Statistical significance was assessed by χ2 test. Scale bars: 50 μm. g-h The Kaplan–Meier curves represented overall survival (g) and disease-free survival (h) of PDAC patients with low vs. high expression of PLACT1. The cutoff value was the median expression of PLACT1. i-j PDAC patients from the TCGA data were divided into low and high PLACT1expression groups; overall survival (i) and disease-free survival (j) of the patients in the groups used Kaplan-Meier survival analysis. p-values was calculated by the log-rank (Mantel-Cox) test. *p < 0.05; **p < 0.01 Furthermore, analysis of clinical characteristics indicated that PLACT1 overexpression was closely correlated with lymph node (LN) metastasis and a high pathological tumor stage (Fig. 1c, d and Table 1). Moreover, ISH analysis revealed that a higher PLACT1 level was detected in the epithelial tissues of PDAC than in normal tissues (Fig. 1e, f). Importantly, Kaplan-Meier analysis demonstrated that patients with high PLACT1-expressing PDAC had shorter OS and DFS in our center (Fig. 1g, h) and the TCGA cohorts (Fig. 1i, j), indicating that PLACT1 upregulation was potentially related to rapid progression of PDAC. The univariate and multivariate Cox regression model revealed that PLACT1 served as independent factor for poor prognosis in PDAC (Table 2 and Additional file 3: Table S1). Interestingly, PLACT1 was overexpressed in various human cancers, including gallbladder cancer, colon cancer, rectal cancer, and stomach cancer (Additional file 4: Figure S2a-h), from the TCGA database, and was associated with poor prognosis in mesothelioma and liver hepatocellular cancer (Additional file 4: Figure S2i-l), further supporting the oncogenic role of PLACT1. In conclusion, PLACT1 serves as an important oncogene and is associated with poor clinical outcome of PDAC.
Table 1

Correlation between PLACT1 expression and clinicopathologic characteristics of PDAC patientsa

CharacteristicsN of casesPLACT1 expression level
HighLowp-value
Total cases1668383
Age0.425
  ≤ 60642935
  > 601025448
Gender0.532
 Male934449
 Female733934
Differentiation0.788
 Well291514
 Moderately1065155
 Poor311714
T stage0.164
 T1502228
 T2482028
 T3573522
 T41165
TNM stage (AJCC) b0.008**
 Stage I401228
 Stage II784137
 Stage III483018
Lymphatic metastasis0.011*
 Negative672542
 Positive995841

Abbreviations: N of cases number of cases, T stage tumor stage, TNM tumor node metastasis.

a Chi-square test, *p < 0.05, **p < 0.01

b American Joint Committee on Cancer (AJCC), patients were staged in accordance with the 8th Edition of the AJCC Cancer’s TNM Classification

Table 2

Univariate and multivariate analysis of Overall Survival (OS) in PDAC patients (n = 166)

VariablesUnivariate analysisMultivariate analysis
HR95%CIp-ValueHR95%CIp-Value
Age0.7020.485–1.0170.062
Gender0.8250.582–1.1710.283
Differentiation (moderately or poor vs. well)1.2450.772–2.0080.369
T stage (T3 or T4 vs. T1 or T2)1.3960.981–1.9860.064
TNM stage (AJCC) (stage II or stage III vs. stage I)3.2502.003–5.2740.001**1.8881.001–3.5590.050
Lymphatic metastasis2.8421.928–4.1890.001**1.9001.149–3.1400.012*
PLACT1 expression1.6451.154–2.3450.006**1.4601.017–2.0960.040*

Abbreviations: HR hazard ratio, 95%CI 95% confidence interval, T stage tumor stage, TNM tumor node metastasis. Cox regression analysis, *p < 0.05, **p < 0.01

Correlation between PLACT1 expression and clinicopathologic characteristics of PDAC patientsa Abbreviations: N of cases number of cases, T stage tumor stage, TNM tumor node metastasis. a Chi-square test, *p < 0.05, **p < 0.01 b American Joint Committee on Cancer (AJCC), patients were staged in accordance with the 8th Edition of the AJCC Cancer’s TNM Classification Univariate and multivariate analysis of Overall Survival (OS) in PDAC patients (n = 166) Abbreviations: HR hazard ratio, 95%CI 95% confidence interval, T stage tumor stage, TNM tumor node metastasis. Cox regression analysis, *p < 0.05, **p < 0.01

PLACT1 promotes proliferation, migration, and invasion of PDAC cells

Considering PLACT1 overexpression in PDAC, we further investigated whether it contributed to PDAC progression. First, we analyzed the expression of PLACT1 in seven PDAC cell lines (AsPC-1, BxPC-3, Capan-2, CFPAC-1, MIA PaCa-2, PANC-1 and SW1990) and normal pancreatic cell line HPNE. The results showed that the highest expression of PLACT1 was found in both PANC-1 and AsPC-1 (Additional file 5: Figure S3a). Thus, we chose these PDAC cell lines for further investigation. PDAC cells were transfected with small interfering RNAs (siRNAs) targeted to PLACT1 and PLACT1-pcDNA3.1 vector separately, which sufficiently reduced or increased the expression of PLACT1 (Fig. 2a, b). CCK-8 assays showed that the viability of PANC-1 and AsPC-1 decreased significantly after downregulating PLACT1 (Fig. 2c and Additional file 5: Figure S3b), whereas overexpression of PLACT1 increased cell viability in both PANC-1 and AsPC-1 cells (Fig. 2d and Additional file 5: Figure S3c). Colony formation assays revealed that PLACT1 knockdown significantly reduced cell colonies compared with NC (Fig. 2e, f), whereas PLACT1 overexpression had the opposite effect (Additional file 5: Figure S3d). Moreover, downregulating PLACT1 expression led to a significant inhibition in proliferation conducted by EdU assays in PDAC cells (Fig. 2g, h). Meanwhile, PLACT1 overexpression obviously promoted proliferation in PANC-1 and AsPC-1 cells (Additional file 5: Figure S3e). These results indicate that PLACT1 participates in proliferation of PDAC cells in vitro.
Fig. 2

PLACT1 promotes proliferation, migration, and invasion of PDAC cells. a-b, Efficiencies of PLACT1 knockdown (a) and overexpression (b) in PANC-1 and AsPC-1 cells were verified by qRT-PCR assays. c-d The cell viability of si-PLACT1-transfected (c) or PLACT1-cDNA-transfected (d) PANC-1 cells by CCK-8 assays. e-f Effect of PLACT1 knockdown on colony formation was counted in PANC-1 and AsPC-1 cells (e). The histogram analysis (f) showed the mean ± SD of colonies from three independent experiments. g-h Representative images (g) and histogram analysis (h) of EdU assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. i-j Representative images (i) and histogram analysis (j) of wound healing assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. k-l Representative images (k) and histogram analysis (l) of Transwell assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. Scale bars: 100 μm. Significance level was assessed using two-tailed t-tests and one-way analysis of variance (ANOVA) followed by Dunnett’s tests for multiple comparison. Figures with error bars show standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 promotes proliferation, migration, and invasion of PDAC cells. a-b, Efficiencies of PLACT1 knockdown (a) and overexpression (b) in PANC-1 and AsPC-1 cells were verified by qRT-PCR assays. c-d The cell viability of si-PLACT1-transfected (c) or PLACT1-cDNA-transfected (d) PANC-1 cells by CCK-8 assays. e-f Effect of PLACT1 knockdown on colony formation was counted in PANC-1 and AsPC-1 cells (e). The histogram analysis (f) showed the mean ± SD of colonies from three independent experiments. g-h Representative images (g) and histogram analysis (h) of EdU assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. i-j Representative images (i) and histogram analysis (j) of wound healing assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. k-l Representative images (k) and histogram analysis (l) of Transwell assays after PLACT1 knockdown in PANC-1 and AsPC-1 cells. Scale bars: 100 μm. Significance level was assessed using two-tailed t-tests and one-way analysis of variance (ANOVA) followed by Dunnett’s tests for multiple comparison. Figures with error bars show standard deviations of three independent experiments. *p < 0.05 and **p < 0.01 Furthermore, we found that PLACT1 overexpression promotes the migration and invasion of PDAC cells. Wound healing assays showed that PLACT1 knockdown remarkably suppressed PDAC cell mobility (Fig. 2i, j), whereas PLACT1 overexpression had the opposite effect (Additional file 5: Figure S3f). The results of Transwell assays were similar to those of wound healing assays (Fig. 2k, l and Additional file 5: Figure S3g). Together, these findings show that PLACT1 overexpression facilitates migration and invasion of PDAC cells in vitro. KRAS or p53 mutation are frequent oncogenic events observed in PDAC. To exclude the possibility that PLACT1 promoted proliferation, migration, and invasion of PDAC cells in a KRAS/p53 mutation-dependent manner, we further analyzed the functions of PLACT1 in BxPC-3 (KRAS wild-type cell line) and Capan-2 (p53 wild-type cell line). We found that PLACT1 overexpression facilitated the proliferation, migration, and invasion abilities in BxPC-3 and Capan-2, while PLACT1 knockdown significantly inhibited the proliferation, migration, and invasion of BxPC-3 and Capan-2, suggesting that PLACT1 promotes proliferation, migration, and invasion of PDAC independent of KRAS/p53 (Additional file 5: Figure S3h, i and Additional file 6: Figure S4a-h).

PLACT1 promotes PDAC tumorigenicity and metastatic potential in vivo

To further evaluate the oncogenic role of PLACT1 on PDAC cells in vivo, we established xenograft mouse models (n = 10 per group). The results showed that PLACT1 knockdown by stable transfection with sh-PLACT1#1 suppressed tumor growth (Fig. 3a, b). Compared with the sh-NC group, a significant decrease in tumor size and tumor weight was observed in the sh-PLACT1#1 group (Fig. 3c, d). In addition, IHC assays showed that a lower level of Ki-67 was detected in the cancer tissues of PLACT1-silencing mice (Fig. 3e, f).
Fig. 3

PLACT1 overexpression promotes a significant effect on tumorigenesis and metastatic potential in vivo. a-b Gross appearance of xenograft tumors after subcutaneous injections with sh-NC and sh-PLACT1#1 group (n = 10). c-d Tumor volumes (c) and weights (d) were measured in the indicated groups (n = 10). e-f Representative images (e) of IHC for Ki-67. Histogram analysis (f) revealed that PLACT1 was associated with Ki-67 expression (n = 10). Scale bars: 50 μm. g Representative images of lung colonization after injection of PANC-1 cells into the tail veins of mice (n = 10). Scale bars: 50 μm. h-i Histogram analysis for luminescence (h) and the number (i) of metastatic foci representing lung metastasis (n = 10). j The ratio of lung metastasis was calculated for indicated group (n = 10). Statistical significance was assessed using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. Error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 overexpression promotes a significant effect on tumorigenesis and metastatic potential in vivo. a-b Gross appearance of xenograft tumors after subcutaneous injections with sh-NC and sh-PLACT1#1 group (n = 10). c-d Tumor volumes (c) and weights (d) were measured in the indicated groups (n = 10). e-f Representative images (e) of IHC for Ki-67. Histogram analysis (f) revealed that PLACT1 was associated with Ki-67 expression (n = 10). Scale bars: 50 μm. g Representative images of lung colonization after injection of PANC-1 cells into the tail veins of mice (n = 10). Scale bars: 50 μm. h-i Histogram analysis for luminescence (h) and the number (i) of metastatic foci representing lung metastasis (n = 10). j The ratio of lung metastasis was calculated for indicated group (n = 10). Statistical significance was assessed using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. Error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01 We further explored the potential effect of PLACT1 on PDAC metastasis in a tail vein injection model (n = 10 per group). Consistently, fewer pulmonary metastatic foci and lower metastatic rate were present in the sh-PLACT1#1 group than in the NC group (Fig. 3g-j). The results showed that silencing PLACT1 significantly impaired the metastasis of tumor cells to the lung, indicating that PLACT1 promoted the metastasis of PDAC. Given that orthotopic xenograft models were considered more clinically relevant to simulating the anatomy and physiology of PDAC, we further explored the role of PLACT1 on tumorigenesis and metastasis by orthotopic transplantation of PDAC cells (n = 10 per group). Positron emission tomography and computed tomography (PET-CT) scanning showed that 18F-fluorodeoxyglucose (18FDG) accumulation in pancreas was critically reduced in mice bearing PLACT1- silencing cells, indicating that PLACT1 knockdown inhibited tumor growth (Fig. 4a, b). Intriguingly, PLACT1-silencing caused a lower cancer incidence in mice received orthotopic inoculation of PDAC cells (Fig. 4c). Moreover, decreased tumor size was obtained in the sh-PLACT1#1 group compared with the sh-NC group (Fig. 4d). Furthermore, lower 18FDG accumulation in liver was observed in sh-PLACT1 group compared with the control (Fig. 4e). PLACT1-silencing reduced the incidence of peritoneal and liver metastasis in tumor-bearing mice, suggesting that PLACT1 promoted metastasis of PDAC (Fig. 4f, g). Additionally, survival analysis showed that PLACT1-silencing prolonged the survival time of mice compared with the control group (Fig. 4h). Taken together, these results indicate that PLACT1 enhanced PDAC progression both in vitro and in vivo.
Fig. 4

PLACT1 facilitates the tumorigenesis and metastasis of PDAC in an orthotopic xenograft model. a-b Representative PET-CT images (a) and histogram analysis (b) of 18FDG accumulation in pancreas in orthotopic xenografts after orthotopically injections with indicated PANC-1 cells (n = 10). The 18FDG concentrations in orthotopic tumor were normalized to %ID/g. c The tumor formation rate of orthotopic xenograft was calculated for indicated group (n = 10). d Representative images of orthotopic tumors after orthotopically injections with indicated PANC-1 cells. e Histogram analysis of 18FDG accumulation in liver in orthotopic xenografts after orthotopically injections with indicated PANC-1 cells (n = 10). f-g The liver metastasis (f) and peritoneal metastasis (g) rate of orthotopic xenograft was calculated for indicated group (n = 10). h Survival analysis for orthotopic tumor bearing mice in indicated group (n = 10). Statistical significance was assessed using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. Error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 facilitates the tumorigenesis and metastasis of PDAC in an orthotopic xenograft model. a-b Representative PET-CT images (a) and histogram analysis (b) of 18FDG accumulation in pancreas in orthotopic xenografts after orthotopically injections with indicated PANC-1 cells (n = 10). The 18FDG concentrations in orthotopic tumor were normalized to %ID/g. c The tumor formation rate of orthotopic xenograft was calculated for indicated group (n = 10). d Representative images of orthotopic tumors after orthotopically injections with indicated PANC-1 cells. e Histogram analysis of 18FDG accumulation in liver in orthotopic xenografts after orthotopically injections with indicated PANC-1 cells (n = 10). f-g The liver metastasis (f) and peritoneal metastasis (g) rate of orthotopic xenograft was calculated for indicated group (n = 10). h Survival analysis for orthotopic tumor bearing mice in indicated group (n = 10). Statistical significance was assessed using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. Error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 directly binds to hnRNPA1

LncRNAs have been reported to exert biological functions by interacting with proteins [22]. Therefore, to confirm PLACT1-binding proteins, RNA pull-down assays were performed by using biotin-labeled PLACT1 and antisense control in PANC-1 cells (Fig. 5a). Subsequent silver staining showed a distinct band weighted between 30 and 45 kDa, which was identified as hnRNPA1 by mass spectrometry (MS) (Fig. 5b). Moreover, western blotting analysis indicated that PLACT1 was associated with hnRNPA1, as indicated by the pull-down assays (Fig. 5c). Whether this candidate protein can directly interact with PLACT1 was evaluated by RIP assays. The results showed significant interaction of PLACT1 with hnRNPA1 in PANC-1 and AsPC-1 cells (Fig. 5d and Additional file 7: Figure S5a). Furthermore, FISH and immunostaining showed that PLACT1 and hnRNPA1 were co-localized in PANC-1 cells (Fig. 5e). However, hnRNPA1 depletion did not affect the expression levels of PLACT1 (Fig. 5f), while overexpression and knockdown of PLACT1 did not influence the expression levels of hnRNPA1(Fig. 5g, h and Additional file 7: Figure S5b, c), suggesting that there was no mutual regulatory relationship between PLACT1 and hnRNPA1.
Fig. 5

PLACT1 directly interacts with hnRNPA1. aPLACT1 sense and antisense RNAs were used in pull-down assays in PANC-1 cells, followed by electrophoresis and silver staining. HnRNPA1 is shown by a red arrow. b Mass spectrometry assays identified the PLACT1-interacting protein as hnRNPA1. c Western blotting analysis of proteins captured by PLACT1 sense and antisense fragments, indicating that PLACT1 associates with hnRNPA1. d RIP assays revealed that PLACT1 bound to hnRNPA1. e The colocalization of PLACT1 and hnRNPA1 was assessed by FISH and immunofluorescence. Scale bar: 5 μm. f qRT-PCR analysis indicated efficiency of hnRNPA1 knockdown and PLACT1 expressions in the hnRNPA1 knockdown cells. g-h Western blotting analysis showed the hnRNPA1 expression after PLACT1 overexpression (g) or knockdown (h) in PDAC. i-j EdU (i) and Transwell (j) assays revealed that depletion of hnRNPA1 partly reversed the effects of PLACT1-overexpressing PANC-1 cells. Representative images (left panel) and histogram analysis (right panel) are shown. Scale bars: 100 μm. p-values were calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 directly interacts with hnRNPA1. aPLACT1 sense and antisense RNAs were used in pull-down assays in PANC-1 cells, followed by electrophoresis and silver staining. HnRNPA1 is shown by a red arrow. b Mass spectrometry assays identified the PLACT1-interacting protein as hnRNPA1. c Western blotting analysis of proteins captured by PLACT1 sense and antisense fragments, indicating that PLACT1 associates with hnRNPA1. d RIP assays revealed that PLACT1 bound to hnRNPA1. e The colocalization of PLACT1 and hnRNPA1 was assessed by FISH and immunofluorescence. Scale bar: 5 μm. f qRT-PCR analysis indicated efficiency of hnRNPA1 knockdown and PLACT1 expressions in the hnRNPA1 knockdown cells. g-h Western blotting analysis showed the hnRNPA1 expression after PLACT1 overexpression (g) or knockdown (h) in PDAC. i-j EdU (i) and Transwell (j) assays revealed that depletion of hnRNPA1 partly reversed the effects of PLACT1-overexpressing PANC-1 cells. Representative images (left panel) and histogram analysis (right panel) are shown. Scale bars: 100 μm. p-values were calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01 As hnRNPA1 contributes to the progression of multiple cancers, we further explored whether hnRNPA1 acted as an oncogene in PDAC. We found that hnRNPA1 was upregulated in PDAC tissues compared with NATs (Additional file 7: Figure S5d, e). Consistently, analysis of TCGA dataset confirmed that hnRNPA1 was overexpressed in PDAC (Additional file 7: Figure S5f). Moreover, hnRNPA1 overexpression correlated with shorter overall survival of PDAC patients (Additional file 7: Figure S5g). We performed rescue experiments to determine whether the interaction between hnRNPA1 and PLACT1 contributed to PDAC progression. We found that PLACT1 overexpression could promote the increase in PDAC cell proliferation and invasion, and knockdown of hnRNPA1 was able to partly reverse these effects (Fig. 5i, j and Additional file 7: Figure S5h-o). These results further confirm the interaction between hnRNPA1 and PLACT1, and that PLACT1 plays a crucial role in PDAC progression.

PLACT1 induces activation of the NF-κB signaling pathway in an IκBα-dependent manner

Previous studies showed that hnRNPA1 contributed to the activation of the NF-κB signaling pathway [23]. It could be inferred that hnRNPA1 played an important role in the activation of the NF-κB signaling pathway as a nucleocytoplasmic shuttling protein. Therefore, we performed qRT-PCR and western blotting assays to assess changed genes involved in the NF-κB signaling pathway in PDAC cells. The results showed that IκBα expression was downregulated by PLACT1 overexpression, whereas it was upregulated by PLACT1 knockdown in PANC-1 and AsPC-1 cells (Fig. 6a-d and Additional file 8: Figure S6a, b). However, neither overexpression nor downregulation of PLACT1 affected the phosphorylation of IKK in PANC-1 cells (Fig. 6c, d), suggesting that PLACT1 modulated the NF-κB signaling pathway by influencing IκBα expression rather than IKK activation. Moreover, immunofluorescence assays showed that the translocation of P65 into the nucleus was dramatically enhanced in PDAC cells by ectopic PLACT1 expression, confirming that PLACT1 induced the NF-κB signaling pathway activation in PDAC (Fig. 6e).
Fig. 6

PLACT1 activates the NF-κB signaling pathway. a-b Genes involved in the NF-κB signaling pathway were detected by qRT-PCR in PLACT1 knockdown (a) or overexpression (b) cells. c-d Western blotting analysis showed the changed protein levels involved in the NF-κB signaling pathway after knockdown (c) or overexpression (d) of PLACT1 in PANC-1 cells. e Representative images of immunofluorescence analysis showed that PLACT1 induced P65 translocation in PANC-1. f-g qRT-PCR (f) and western blotting (g) analysis indicated that PLACT1 downregulated the mRNA and protein levels of IκBα in PANC-1 after treatment with BAY 11–7085. hPLACT1 was negatively correlated with IκBα in 166-case of PDAC tissues. i, Western blotting analysis showed that PLACT1-mediated P65 translocation can be reversed by JSH-23. j-k Representative images and histogram analysis of EdU (j) and Transwell (k) assays showed that JSH-23 reversed the effects of PLACT1-overexpressing PANC-1 cells. Scale bars: 100 μm. p-values were calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 activates the NF-κB signaling pathway. a-b Genes involved in the NF-κB signaling pathway were detected by qRT-PCR in PLACT1 knockdown (a) or overexpression (b) cells. c-d Western blotting analysis showed the changed protein levels involved in the NF-κB signaling pathway after knockdown (c) or overexpression (d) of PLACT1 in PANC-1 cells. e Representative images of immunofluorescence analysis showed that PLACT1 induced P65 translocation in PANC-1. f-g qRT-PCR (f) and western blotting (g) analysis indicated that PLACT1 downregulated the mRNA and protein levels of IκBα in PANC-1 after treatment with BAY 11–7085. hPLACT1 was negatively correlated with IκBα in 166-case of PDAC tissues. i, Western blotting analysis showed that PLACT1-mediated P65 translocation can be reversed by JSH-23. j-k Representative images and histogram analysis of EdU (j) and Transwell (k) assays showed that JSH-23 reversed the effects of PLACT1-overexpressing PANC-1 cells. Scale bars: 100 μm. p-values were calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01 Previous studies reported that both IκBα phosphorylation and decreased IκBα transcription level could lead to IκBα degradation [24, 25]. In the present study, BAY 11–7085, which is recognized as the inhibitor of IκBα phosphorylation, was added to PLACT1-overexpressing PDAC cells or NC cells to assess the expression of IκBα. Interestingly, we found that the IκBα expression was downregulated in PLACT1-expressing plasmid-treated PDAC compared with cells treated with the corresponding empty vectors after treatment with BAY 11–7085 (Fig. 6f, g and Additional file 8: Figure S6c), suggesting that PLACT1-mediated IκBα expression occurred primarily through transcriptional regulation. In addition, we found a negative correlation between PLACT1 and IκBα mRNA level in 166-case of PDAC tissues, which further confirmed that PLACT1 regulated IκBα at transcriptional level rather than post-translational level (Fig. 6h). We further evaluated whether PLACT1 affected the progression of PDAC via activation of the NF-κB signaling pathway. We found that PLACT1 overexpression enhanced the activation of the NF-κB signaling pathway and treatment with NF-κB inhibitor, JSH-23, significantly suppressed PLACT1-induced NF-κB signaling pathway activation (Fig. 6i). Moreover, inhibition of the NF-κB signaling pathway with JSH-23 partly impaired PLACT1-induced proliferation and metastasis of PDAC cells (Fig. 6j, k and Additional file 8: Figure S6d-i). Taken together, these data suggest that PLACT1 activates the NF-κB signaling pathway to facilitate the progression of PDAC in an IκBα-dependent manner.

PLACT1 forms triplexes with the promoter sequences of IκBα

To explore the molecular mechanisms by which PLACT1 impaired IκBα expression, we constructed a series of plasmids with IκBα promoter truncations from -2000 nt to + 1 nt, which were subsequently subjected to luciferase assays. The luciferase activity critically decreased when plasmids containing − 1400 to -1050 bp fragments were transfected (Fig. 7a, b and Additional file 9: Figure S7a).
Fig. 7

PLACT1 forms triplexes with the promoter of IκBα and downregulates IκBα expression. a Luciferase reporter assays and sequential deletions detect transcriptional activity of the IκBα promoter. b Schematic images of the potential PLACT1 binding sites in the IκBα promoter. c-d ChIRP analysis of PLACT1-associated chromatin in PANC-1. Retrieved chromatin and RNA were assessed by qRT-PCR. ePLACT1 is predicted to have 5 stable stem-loop structures (http://rna.tbi.univie.ac.at/). The red text indicates the IκBα promoter binding stem-loop structures in PLACT1. f-g CD spectroscopy of the mixture (blue) and the sum (red) of TFO in PLACT1 and TTS in the IκBα promoter sequences are shown (f). Control ssRNA/ IκBα is used as negative control (g). h-i FRET of TFO in PLACT1 (black), TTS in the IκBα promoter sequences (blue), and their mixture (red) are shown (h). Control ssRNA/ IκBα is used as negative control (i). j IκBα promoter with mutated PLACT1 binding sites and wild-type IκBα promoter were cloned into pGL3-luc reporter vector. k-l, Dual-Luciferase reporter assays were performed to analyze IκBα promoter with wild-type (k) and mutated PLACT1 binding site IκBα promoter (l). m-n ChIP-qPCR analysis of hnRNPA1, EZH2 occupancy and H3K27me3 status in the IκBα promoter after knockdown of PLACT1 in PANC-1 (m) and AsPC-1 (n) cells. Statistical significance was calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent triplicate standard deviations. *p < 0.05 and **p < 0.01

PLACT1 forms triplexes with the promoter of IκBα and downregulates IκBα expression. a Luciferase reporter assays and sequential deletions detect transcriptional activity of the IκBα promoter. b Schematic images of the potential PLACT1 binding sites in the IκBα promoter. c-d ChIRP analysis of PLACT1-associated chromatin in PANC-1. Retrieved chromatin and RNA were assessed by qRT-PCR. ePLACT1 is predicted to have 5 stable stem-loop structures (http://rna.tbi.univie.ac.at/). The red text indicates the IκBα promoter binding stem-loop structures in PLACT1. f-g CD spectroscopy of the mixture (blue) and the sum (red) of TFO in PLACT1 and TTS in the IκBα promoter sequences are shown (f). Control ssRNA/ IκBα is used as negative control (g). h-i FRET of TFO in PLACT1 (black), TTS in the IκBα promoter sequences (blue), and their mixture (red) are shown (h). Control ssRNA/ IκBα is used as negative control (i). j IκBα promoter with mutated PLACT1 binding sites and wild-type IκBα promoter were cloned into pGL3-luc reporter vector. k-l, Dual-Luciferase reporter assays were performed to analyze IκBα promoter with wild-type (k) and mutated PLACT1 binding site IκBα promoter (l). m-n ChIP-qPCR analysis of hnRNPA1, EZH2 occupancy and H3K27me3 status in the IκBα promoter after knockdown of PLACT1 in PANC-1 (m) and AsPC-1 (n) cells. Statistical significance was calculated by using two-tailed t-tests and ANOVA followed by Dunnett’s tests for multiple comparison. The error bars represent triplicate standard deviations. *p < 0.05 and **p < 0.01 Furthermore, whether PLACT1 directly interacted with the promoter region of IκBα was validated by ChIRP assays. The results indicated an enrichment of IκBα promoter fragments (− 1113 to -1103 bp, Fig. 7c, d and Additional file 9: Figure S7b, c) in PLACT1 (+ 877 to + 887 nt, Fig. 7e), suggesting that a triplex structure was formed between PLACT1 and IκBα promoter. To further confirm the binding sites between PLACT1 and IκBα promoter, CD spectroscopy and FRET analysis were performed using synthesized predicted triplex-forming oligonucleotides (TFOs) in PLACT1 and triplex target sites (TTSs) in IκBα promoter. Compared with the NC group, CD spectroscopy showed distinct peaks at approximately 210 nm and 270-280 nm in the PLACT1 (TFO4, + 877 to + 887 nt)/ IκBα (TTS4, − 1113 to -1103 bp) group (Fig. 7f, g), which were like those of the positive control group (Additional file 9: Figure S7d). Consistently, FRET analysis showed that the fluorescence intensity significantly increased at 570–580 nm and decreased at approximately 520 nm in the PLACT1 (TFO4, + 877 to + 887 nt)/ IκBα (TTS4, − 1113 to -1103 bp) group (Fig. 7h, i and Additional file 9: Figure S7e). Together, our data suggest that PLACT1 downregulates IκBα transcription through DNA-RNA triplex formation with the IκBα promoter sequences.

PLACT1 promotes H3K27 trimethylation at the IκBα promoter by interacting with hnRNPA1

To clarify whether PLACT1 impaired the transcriptional activity of IκBα, we generated an IκBα-promoter mutation-containing pGL3 vector (Fig. 7j). The luciferase assays demonstrated that the mutant IκBα-pGL3 vector significantly increased luciferase activity of IκBα promoter compared the wild-type IκBα-pGL3 vector after co-transfection with PLACT1 (Fig. 7k, l and Additional file 9: Figure S7f, g). Previous studies have reported that hnRNPA1 interacts with repressive complexes of the Polycomb-group (PcG) [26]. Considering EZH2, the catalytic subunit of Polycomb Repressive Complex 2 (PRC2), was responsible for the histone H3 lysine 27 trimethylation (H3K27me3) and induced transcriptional interference, we further analyzed whether hnRNPA1 could mediate the H3K27me3 on the promoter of IκBα. In this study, we showed that IκBα expression was upregulated in hnRNPA1-silencing PDAC cells (Additional file 9: Figure S7h). Moreover, ChIP analysis indicated that a high level of H3K27me3 and EZH2 was specifically localized at the PLACT1 binding region in the IκBα promoter by interacting with hnRNPA1 (Fig. 7m, n). Furthermore, hnRNPA1 silencing restored PLACT1-induced impairment of IκBα expression (Additional file 9: Figure S7i). Taken together, these data indicate that PLACT1 downregulates IκBα expression through PRC2-induced H3K27me3 in an hnRNPA1-dependent manner.

PLACT1 sustains the NF-κB signaling pathway activation by forming a positive feedback loop with E2F1

As expected, PLACT1 participated in the activation of the NF-κB signaling pathway in an IκBα-dependent manner. However, the downstream genes of IκBα that are associated with PDAC progression remained a mystery. E2F1 is well known to be a critical downstream regulator of the NF-κB signaling pathway [27, 28]. Consistently, western blotting assays showed that E2F1 expression was significantly downregulated after treatment with inhibitors of the NF-κB signaling pathway (Fig. 8a). We further evaluated the alteration of E2F1 expression in PDAC cells that ectopically expressed PLACT1, which was co-transfected with BAY 11–7085 (Fig. 8). The results demonstrated that inhibition of the NF-κB signaling pathway significantly impaired E2F1 expression compared with the cells ectopically expressing PLACT1. Consistently, Western blot assays revealed that PLACT1 knockdown significantly decreased the protein levels of E2F1 (Fig. 8c). Moreover, we downregulated E2F1 expression in PDAC cells through transfection with siRNA targeted to E2F1 and found that the expression of P65, RELB, c-Rel, and P50 was not affected by E2F1-silencing (Fig. 8d and Additional file 10: Figure S8a, b). These results suggest that E2F1 is an important downstream gene of the NF-κB signaling pathway in PDAC cells.
Fig. 8

PLACT1 sustains NF-κB pathway activation by forming a positive feedback loop with E2F1. a Western blotting analysis revealed that BAY 11–7085 and BAY 11–7082 decreased E2F1 and p-p65 expression. BAY 11–7085 and BAY 11–7082 are NF-κB inhibitors. b Western blotting analysis showed that BAY 11–7085 was used in PLACT1-overexpressing cells, and the levels of E2F1, VCAM1, and C-Jun were measured after 72 h. c The expression of E2F1 after PLACT1 knockdown in PDAC cells was assessed by western blotting analysis. d qRT-PCR assays showed that E2F1 depletion failed to influence the expression of P65, c-Rel, RELB, and P50 in PANC-1 cells. e E2F1 depletion reduced expression of PLACT1 in PANC-1 cells as detected by qRT-PCR. f-gPLACT1 was positively correlated with E2F1 in PDAC tissues evaluated by our data (f, n = 166) and TCGA data (g, n = 179). h Luciferase reporter assays showed that E2F1 knockdown reduced the transcriptional activity of PLACT1 promoter in PANC-1 cells. i Enriched motifs of E2F1 binding sites predicted by JASPAR (http://jaspar.binf.ku.dk/). j Schematic model of predicted E2F1 binding sequences in the PLACT1 promoter region. k-l ChIP-qPCR assays were evaluated in PANC-1 (k) and AsPC-1 (l) cells. m Luciferase reporter assays showing that depletion of E1 downregulated the transcriptional activity of PLACT1 promoter in PANC-1 cells. Statistical significance was evaluated by using two-tailed t-tests and ANOVA, followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

PLACT1 sustains NF-κB pathway activation by forming a positive feedback loop with E2F1. a Western blotting analysis revealed that BAY 11–7085 and BAY 11–7082 decreased E2F1 and p-p65 expression. BAY 11–7085 and BAY 11–7082 are NF-κB inhibitors. b Western blotting analysis showed that BAY 11–7085 was used in PLACT1-overexpressing cells, and the levels of E2F1, VCAM1, and C-Jun were measured after 72 h. c The expression of E2F1 after PLACT1 knockdown in PDAC cells was assessed by western blotting analysis. d qRT-PCR assays showed that E2F1 depletion failed to influence the expression of P65, c-Rel, RELB, and P50 in PANC-1 cells. e E2F1 depletion reduced expression of PLACT1 in PANC-1 cells as detected by qRT-PCR. f-gPLACT1 was positively correlated with E2F1 in PDAC tissues evaluated by our data (f, n = 166) and TCGA data (g, n = 179). h Luciferase reporter assays showed that E2F1 knockdown reduced the transcriptional activity of PLACT1 promoter in PANC-1 cells. i Enriched motifs of E2F1 binding sites predicted by JASPAR (http://jaspar.binf.ku.dk/). j Schematic model of predicted E2F1 binding sequences in the PLACT1 promoter region. k-l ChIP-qPCR assays were evaluated in PANC-1 (k) and AsPC-1 (l) cells. m Luciferase reporter assays showing that depletion of E1 downregulated the transcriptional activity of PLACT1 promoter in PANC-1 cells. Statistical significance was evaluated by using two-tailed t-tests and ANOVA, followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01 Formation of the positive feedback loop was essential in cancer progression [29, 30]. Therefore, we further explored whether E2F1 affected PLACT1 expression at the transcriptional level. The results indicated that knockdown of E2F1 attenuated the expression of PLACT1, while overexpressing E2F1 increased the expression of PLACT1 in PDAC cells. (Fig. 8e and Additional file 10: Figure S8c-e). We also found that expression of E2F1 was positively associated with PLACT1 expression in a 166-case cohort of PDAC patients (Fig. 8f). A similar result was obtained from the TCGA database (Fig. 8g). As indicated in Fig. 8h and Additional file 10: Figure S8f, luciferase reporter assays showed a decreasing luciferase activity of PLACT1 promoter in E2F1-silencing cells compared with the NC group. Moreover, bioinformatics analysis of PLACT1 promoter predicted two potential binding sequences of E2F1, namely E1 and E2 (Fig. 8i, j). To further verify the direct interaction between E2F1 and the predicted binding site in the PLACT1 promoter, ChIP analysis was performed to show that E2F1-E1 could directly bind to the PLACT1 promoter (− 402 bp to -396 bp) (Fig. 8k, l). The results of luciferase activity assays supported that E2F1-induced luciferase expression was obviously suppressed by E1 mutation, while E2 mutation had no effect (Fig. 8m and Additional file 10: Figure S8g), suggesting that transcription factor E2F1 binds to the PLACT1 promoter in PDAC cells. These data further support the notion that lncRNA-PLACT1 sustains NF-κB signaling pathway activation by forming a positive feedback loop with E2F1, causing a transition to aggressive phenotypes and poor outcome in PDAC.

Blockage of NF-κB signaling pathway reverses PLACT1-induced PDAC progression in vivo

Given that PLACT1-mediated sustained activation of NF-κB signaling pathway was essential to PDAC development, we further examined whether blocking NF-κB signaling pathway could inhibit PLACT1-induced PDAC progression. Overexpression of PLACT1 promoted the tumor growth in subcutaneous tumor models (n = 10 per group) and treatment with JSH-23 significantly reduced PLACT1-induced tumorigenicity (Fig. 9a-c). Moreover, compared with PBS treatment, administration of JSH-23 dramatically decreased the Ki-67 level in PLACT1-overexpressing PDAC tissues (Fig. 9a, d). In addition, we found that JSH-23 treatment prolonged the survival time of PLACT1-transduced tumor bearing mice (Fig. 9e). Taken together, these results suggest that NF-κB signaling pathway inhibition could abrogate PLACT1-induced PDAC progression (Fig. 9f).
Fig. 9

Blocking NF-κB signaling pathway reverses PLACT1-induced PDAC progression in vivo.a Representative images of subcutaneous xenografts and IHC for Ki-67. PBS or JSH-23 treatments began 1 week after inoculation (n = 10). b Histogram analysis of luminescence for subcutaneous xenografts in indicated group (n = 10). c Tumor volumes were measured in the indicated groups (n = 10). d Histogram analysis of Ki-67 positive cells in indicated group (n = 10). e Survival analysis for tumor bearing mice in indicated group (n = 10). f Model of the role of PLACT1 forming a positive feedback loop with IκBα/E2F1 in PDAC. Statistical significance was evaluated by using ANOVA, followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

Blocking NF-κB signaling pathway reverses PLACT1-induced PDAC progression in vivo.a Representative images of subcutaneous xenografts and IHC for Ki-67. PBS or JSH-23 treatments began 1 week after inoculation (n = 10). b Histogram analysis of luminescence for subcutaneous xenografts in indicated group (n = 10). c Tumor volumes were measured in the indicated groups (n = 10). d Histogram analysis of Ki-67 positive cells in indicated group (n = 10). e Survival analysis for tumor bearing mice in indicated group (n = 10). f Model of the role of PLACT1 forming a positive feedback loop with IκBα/E2F1 in PDAC. Statistical significance was evaluated by using ANOVA, followed by Dunnett’s tests for multiple comparison. The error bars represent standard deviations of three independent experiments. *p < 0.05 and **p < 0.01

Discussion

The proportion of PDAC in pancreatic malignancies has increased to 90%, and the 5-year survival rate is less than 9% [3, 4]. Hence, it is an urgent need to clarify the molecular mechanisms underlying progression of PDAC and provide evidence for novel therapeutic targets. In the present study, we identified a lncRNA, PLACT1, which was overexpressed in a cohort of 166 PDAC cases. PLACT1 knockdown significantly inhibited the proliferation, migration, and invasion of PDAC both in vitro and in vivo. Mechanistically, PLACT1 decreased IκBα transcription by promoting hnRNPA1-induced H3K27me3 on the IκBα promoter. Importantly, we demonstrated that PLACT1 modulated the progression of PDAC by sustained activation of the NF-κB signaling pathway via an IκBα/E2F1 positive feedback loop. Blocking the activation of NF-κB signaling pathway with NF-κB signaling pathway inhibitor remarkably suppressed the PLACT1-induced progression of PDAC in vivo. Our findings provide novel insight into clarifying the regulation mechanism of PLACT1 in PDAC and inhibition of NF-κB signaling pathway may represent a potential therapeutic strategy for PLACT1-overexpressing PDAC patients. HnRNPA1 is an essential RNA- and DNA-binding protein that directly regulates the alternative splicing isoforms or mediating transcription of target genes [31, 32]. Redon et al. found that hnRNPA1 alleviates the TERRA-mediated inhibition of telomerase by binding to TERRA [33]. Wang et al. reported that hnRNPA1 interacts with lncRNA-lncSHGL to enhance the translation efficiency of CALM, leading to repression of the mTOR/SREBP-1C pathway in hepatocytes [34]. In the present study, we used RNA pull-down and RIP assays to demonstrate that PLACT1 interacted with hnRNPA1. Moreover, PLACT1 recruited hnRNPA1 to form a DNA-RNA triplex with IκBα promoter, and suppressed IκBα expression by mediating H3K27me3, which led to activation of the NF-κB signaling pathway. Our data suggest that recruitment by lncRNAs might decide target gene regulation in PDAC cells. PLACT1, identified as a functional binding partner of hnRNPA1, regulates the NF-κB signaling pathway through a novel mechanism, which might be crucial to development of PDAC. Recent studies demonstrated that NF-κB signaling was negatively modulated and terminated by several regulatory factors, including CYLD [35] and IκBs [36]. Indeed, IκBα is impressive for blockage of NF-κB signaling through sequestering NF-κB into the cytoplasm. The degradation of IκBα results in activation of the NF-κB signaling pathway [37]. lncRNAs could guide transcriptional factors or histone protein modification enzymes to specific genomic loci, which lead to inactivation or activation of genes [38]. For example, Grote et al. considered the lncRNA Fendrr, which is implicated in regulation of murine mesoderm differentiation and has recently been reported to form triplexes on the promoter sequence of two target genes: Foxf1 and Pitx2 [39, 40]. Chen et al. reported that lncRNA LNMAT1 upregulated CCL2 expression by associating with the CCL2 promoter via formation of a DNA-RNA triplex in bladder cancer [15]. These studies suggest that formation of DNA-RNA triplexes may be common in lncRNA-mediated transcriptional activation. In the present study, we found that PLACT1 directly formed a DNA-RNA triplex with the promoter sequences of IκBα. The overexpression of PLACT1 dramatically increased H3K27 methylation of the promoters of IκBα and significantly inhibited IκBα expression. In addition, PLACT1 sustained the activation of the NF-κB signaling pathway by attenuating the hnRNPA1/ IκBα axis, suggesting the essential function of PLACT1 in PDAC initiation. Sustained activation of NF-κB signaling pathway is a common event in various cancers, including PDAC, and considered to be essential to cancer development. Chen et al. showed that PLCE1 constitutively activated the NF-κB signaling pathway to drive esophageal carcinoma angiogenesis and proliferation [41]. Jeong et al. reported that miR-196b/Meis2/PPP3CC axis sustained the activation of NF-κB signaling pathway to induce prostate cancer castration resistance [42]. However, the mechanism underlying PLACT1-induced sustained activation of NF-κB signaling pathway remains to be determined. We previously reported that E2F1 enhanced the transcriptional activity of lncRNA and formed a positive loop to constitutively activate PI3K/Akt pathway [43]. In the present study, we found that E2F1 directly binds to the promoter of PLACT1 to activate its expression, providing a positive feedback loop that sustains NF-κB activity to promote proliferation, migration, and invasion in PDAC cells. Collectively, PLACT1 forms a positive feedback loop with IκBα/E2F1, which plays an important role in sustained activation of the NF-κB signaling pathway in PDAC. NF-κB signaling pathway inhibitors have shown promising effects in suppressing progression of multiple cancers. Lu et al. found that blocked NF-κB signaling pathway using Pristimerin induced apoptosis of chronic myelogenous leukemia cells [44]. Marquardt et al. showed that Curcumin restrained stemness of liver cancer via inhibition of NF-κB signaling pathway [45]. However, lack of specific indicators for cancer treatment is one of the most critical issues that limits NF-κB signaling pathway inhibitors therapy. Herein, we demonstrated that PLACT1 overexpression facilitated the proliferation and metastasis of PDAC cells and NF-κB signaling pathway inhibitor significantly impaired PLACT1-induced PDAC development. Importantly, treatment with NF-κB signaling pathway inhibitor effectively suppressed the tumorigenesis of PLACT1-overexpressing PDAC in vivo. Our findings support that PLACT1 might be a potential indicated marker for clinical intervention with NF-κB signaling inhibitor in PDAC.

Conclusions

In summary, we provide solid evidence supporting the hypothesis that overexpression of PLACT1 promotes PDAC progression through sustained activation of the NF-κB signaling pathway by an IκBα/ E2F1 positive feedback loop. Understanding the important role of PLACT1 in PDAC and activation of the NF-κB signaling pathway will increase our knowledge of the biological basis of PDAC progression and might allow the development of novel therapeutic drugs for patients with PDAC. Additional file 1: Supplementary material and methods. Additional file 2: Figure S1. The identification of PLACT1 in PDAC. Additional file 3: Table S1. Univariate and multivariate analysis of disease-free survival in PDAC patients. Additional file 4: Figure S2. PLACT1 is overexpressed in multiple types of human cancers. Additional file 5: Figure S3. PLACT1 enhances proliferation, migration, and invasion of PDAC cells. Additional file 6: Figure S4. PLACT1 promotes proliferation, migration, and invasion of PDAC cells independent of KRAS/p53. Additional file 7: Figure S5. hnRNPA1 is required for PLACT1-induced PDAC progression. Additional file 8: Figure S6. PLACT1 induces activation of the NF-κB signaling pathway in an IκBα-dependent manner. Additional file 9: Figure S7. PLACT1 forms triplexes with promoter sequences of IκBα and regulates its expression. Additional file 10: Figure S8. PLACT1 forms a positive feedback loop with E2F1. Additional file 11: Clinical information on the patient cohort. Additional file 12: Table S2. Primer and probes of experiments. Additional file 13: Table S3. Antibodies of experiments. Additional file 14: Figure S9. Full uncut original pictures. Additional file 15: Table S4. The possible TFO and TTS predicted for PLACT1 and IκBα promoter. Additional file 16: The original expression data of PLACT1 in TCGA dataset.
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Review 8.  Pancreatic cancer.

Authors:  Terumi Kamisawa; Laura D Wood; Takao Itoi; Kyoichi Takaori
Journal:  Lancet       Date:  2016-01-30       Impact factor: 79.321

9.  NF-kB and c-Jun induce the expression of the oncogenic miR-221 and miR-222 in prostate carcinoma and glioblastoma cells.

Authors:  Silvia Galardi; Neri Mercatelli; Maria G Farace; Silvia A Ciafrè
Journal:  Nucleic Acids Res       Date:  2011-01-18       Impact factor: 16.971

Review 10.  Molecular mechanism underlying lymphatic metastasis in pancreatic cancer.

Authors:  Zhiwen Xiao; Guopei Luo; Chen Liu; Chuntao Wu; Liang Liu; Zuqiang Liu; Quanxing Ni; Jiang Long; Xianjun Yu
Journal:  Biomed Res Int       Date:  2014-01-22       Impact factor: 3.411

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  21 in total

1.  Knockdown of hnRNPA1 Promotes NSCLC Metastasis and EMT by Regulating Alternative Splicing of LAS1L exon 9.

Authors:  Peng Han; Peng Cao; Jiaqi Yue; Kangle Kong; Shan Hu; Yu Deng; Lequn Li; Fan Li; Bo Zhao
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

2.  LncRNA GAS8-AS1 Inhibits Ovarian Cancer Progression Through Activating Beclin1-Mediated Autophagy.

Authors:  Ying-Ji Fang; Ping Jiang; Hui Zhai; Jing-Sen Dong
Journal:  Onco Targets Ther       Date:  2020-10-14       Impact factor: 4.147

3.  TMPO-AS1, a Novel E2F1-Regulated lncRNA, Contributes to the Proliferation of Lung Adenocarcinoma Cells via Modulating miR-326/SOX12 Axis.

Authors:  Lin Wei; Yugang Liu; Huijun Zhang; Yuefeng Ma; Zenghui Lu; Zhenning Gu; Chao Ding
Journal:  Cancer Manag Res       Date:  2020-12-02       Impact factor: 3.989

4.  Molecular characterization of breast cancer: a potential novel immune-related lncRNAs signature.

Authors:  Jianguo Lai; Bo Chen; Guochun Zhang; Xuerui Li; Hsiaopei Mok; Ning Liao
Journal:  J Transl Med       Date:  2020-11-07       Impact factor: 5.531

5.  Long Non-Coding RNA-PAICC Promotes the Tumorigenesis of Human Intrahepatic Cholangiocarcinoma by Increasing YAP1 Transcription.

Authors:  Long Xia; Xiaolong Chen; Jiarui Yang; Shuguang Zhu; Lei Zhang; Qi Yin; Yueyu Hong; Haoqi Chen; Guihua Chen; Hua Li
Journal:  Front Oncol       Date:  2021-01-08       Impact factor: 6.244

Review 6.  Regulation of Hippo, TGFβ/SMAD, Wnt/β-Catenin, JAK/STAT, and NOTCH by Long Non-Coding RNAs in Pancreatic Cancer.

Authors:  Ammad Ahmad Farooqi; Sawera Nayyab; Chiara Martinelli; Rossana Berardi; Hector Katifelis; Maria Gazouli; William C Cho
Journal:  Front Oncol       Date:  2021-06-09       Impact factor: 6.244

Review 7.  The molecular biology of pancreatic adenocarcinoma: translational challenges and clinical perspectives.

Authors:  Shun Wang; Yan Zheng; Feng Yang; Le Zhu; Xiao-Qiang Zhu; Zhe-Fang Wang; Xiao-Lin Wu; Cheng-Hui Zhou; Jia-Yan Yan; Bei-Yuan Hu; Bo Kong; De-Liang Fu; Christiane Bruns; Yue Zhao; Lun-Xiu Qin; Qiong-Zhu Dong
Journal:  Signal Transduct Target Ther       Date:  2021-07-05

Review 8.  Targets (Metabolic Mediators) of Therapeutic Importance in Pancreatic Ductal Adenocarcinoma.

Authors:  Vikrant Rai; Swati Agrawal
Journal:  Int J Mol Sci       Date:  2020-11-12       Impact factor: 5.923

9.  A reciprocal feedback of Myc and lncRNA MTSS1-AS contributes to extracellular acidity-promoted metastasis of pancreatic cancer.

Authors:  Yuhang Hu; Fan Wang; Fengyu Xu; Kaifeng Fang; Zhi Fang; Xiaoming Shuai; Kailin Cai; Jinhuang Chen; Ping Hu; Ding Chen; Peng Xu; Chaojie Hu; Zhu Zeng; Jianxin Zhong; Wei Li; Jiang Tang; Mengqi Huang; Yong Zhao; Chunyou Wang; Gang Zhao
Journal:  Theranostics       Date:  2020-08-08       Impact factor: 11.556

10.  Tumor-derived exosomal BCYRN1 activates WNT5A/VEGF-C/VEGFR3 feedforward loop to drive lymphatic metastasis of bladder cancer.

Authors:  Hanhao Zheng; Changhao Chen; Yuming Luo; Min Yu; Wang He; Mingjie An; Bowen Gao; Yao Kong; Yiyao Ya; Yan Lin; Yuting Li; Keji Xie; Jian Huang; Tianxin Lin
Journal:  Clin Transl Med       Date:  2021-07
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