Overexpression of ankyrin1 promotes pancreatic cancer cell growth
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Noriyuki Omura1, Masamichi Mizuma1, Anne MacGregor1, Seung-Mo Hong1, Michael Ayars1, Jose Alejandro Almario1, Michael Borges1, Mitsuro Kanda1, Ang Li1, Audrey Vincent1, Anirban Maitra1,2, Michael Goggins1,2,3
1Department of Pathology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Johns Hopkins University, Baltimore, MD, USA
2Department of Oncology, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Johns Hopkins University, Baltimore, MD, USA
3Department of Medicine, The Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins Medical Institutions, Johns Hopkins University, Baltimore, MD, USA
Michael Goggins, email: [email protected]
Keywords: pancreatic cancer, ANK1, hypomethylation, ankyrin, mir-486
Received: February 13, 2016 Accepted: April 10, 2016 Published: April 26, 2016
The methylation status of a promoter influences gene expression and aberrant methylation during tumor development has important functional consequences for pancreatic and other cancers. Using methylated CpG island amplification and promoter microarrays, we identified ANK1 as hypomethylated in pancreatic cancers. Expression analysis determined ANK1 as commonly overexpressed in pancreatic cancers relative to normal pancreas. ANK1 was co-expressed with miR-486 in pancreatic cancer cells. Stable knockdown of ANK1 in the pancreatic cancer cell line AsPC1 led to changes in cell morphology, and decreases in colony formation. Stable knockdown of ANK1 also marked reduced the growth of tumors in athymic nude mice. Among patients undergoing pancreaticoduodenectomy, those with pancreatic cancers expressing ANK1 had a poorer prognosis than those without ANK1 expression. These findings indicate a role for ANK1 overexpression in mediating pancreatic cancer tumorigenicity.
Pancreatic ductal adenocarcinoma is the third leading cause of cancer-related deaths in the USA, with an overall 1-year survival rate of <15% . Pancreatic adenocarcinomas are locally invasive and highly metastatic and most patients have advanced stage disease at the time of diagnosis . A better understanding of the molecular changes that mediate the invasive and metastatic properties of pancreatic cancer is needed in order to develop more effective therapies for the treatment of this deadly disease.
Aberrant CpG island methylation is an important cause of altered gene function in human cancer . This altered gene function arises from both gene silencing associated with aberrant hypermethylation of promoter CpG islands and induction of gene expression associated with gene hypomethylation. DNA methylation abnormalities are thought to contribute to pancreatic cancer development and progression [4–13]. Several strategies have been used to identify differentially methylated genes in pancreatic cancers including analysis of expression changes after DNA methylation inhibition, array-based methods, and methylome sequencing [5, 6, 10, 11, 14, 15]. Using one such method that combines methylated CpG island amplification (MCA) and promoter microarray detection , we identified ANK1 as a hypomethylated gene in pancreatic cancers.
ANK1 is a member of the ankyrin family of membrane-associated cytoskeletal proteins expressed in a variety of biological systems . Vertebrates have three ankyrins, ANK1, ANK2, and ANK3, each containing multiple alternatively spliced variants. Most ankyrin isoforms contain three functional domains: a conserved N-terminal ankyrin repeat domain (ARD); a spectrin binding domain; and a variably sized C-terminal regulatory domain. Many other proteins besides ankyrins have ankyrin repeat domains. ANK1, also known as erythroid ankyrin, is a large (~210 kD) multifunctional protein  that stabilizes the erythrocyte cytoskeleton and is defective in Hereditary Spherocytosis . Small isoforms of ANK1 have been found in skeletal and cardiac muscle and in brain . Ankyrins mediate signaling events through the interaction of its ankyrin repeat domain with cell surface receptors such as CD44 [19, 20]. Recent studies have identified aberrant hypermethylation of ANK1 in the brains of patients with Alzheimer’s disease [21, 22].
We examined the expression and transcriptional regulation of ANK1 in pancreatic adenocarcinomas and investigated its potential role in tumor progression.
ANK1 was identified as a candidate gene undergoing promoter methylation after comparing promoter methylation profiles of the pancreatic cancer line, Panc-1 and the non-neoplastic pancreatic epithelial cell line, HPDE by using MCA in conjunction with the Agilent 44K promoter array . On the array three probes specific for the ANK1 CpG-island had elevated log2 Cy3/Cy5 ratios (log2 >2) indicating hypomethylation in Panc-1 relative to HPDE (Figure 1A). We also examined DNA methylation patterns of ANK2 and ANK3 in our MCA array data and found no evidence for differential methylation (data not shown).
Figure 1: A. MCA array data. Cy5/Cy3 log2-fold change and p-value was obtained by Agilent’s ChIP Analytics 1.3 software. B. Genetic map of the ANK1 locus on chromosome 8q11.21 showing the location of transcripts, CpG islands, CpG sites, primer locations and siRNA target region. The quantitative RT-PCR primers are designed to recognize the large or small ANK1 isoforms as indicated. The location of the shRNA target sequences are represented by black squares. There are 4 CpG-islands defined in the UCSC genome browser and primers for MSP and BMS are designed to determine the methylation status of the 5’flanking CpG island. C. Methylation status of 23 CpG sites in the ANK1 promoter region determined by bisulfite sequencing (BMS region in 1B). Black box: methylated; white box: unmethylated.
Since ANK1 has not been previously shown to be aberrantly methylated in cancer, we further examined the methylation of ANK1.
We performed bisulfite modified sequencing (BMS) to verify hypomethylation of the ANK1 promoter. The 5’-flanking region of the ANK1 transcription start site has a large CpG island (899 bp; -861 to +39; %GC=58.6; observed CpGs/expected CpGs=0.722) and contains the consensus binding sites for GATA-1 and CACCC-binding proteins. Both transcriptional factors are thought to be essential for high-level expression of ANK1 in erythrocytes . Primers were designed to assess the methylation status of CpGs near the transcriptional start site (Figure 1B): 23 CpG sites were sequenced. Of 7 pancreatic cancer cell lines and 3 xenografts examined, 8 samples were completely unmethylated at these CpG sites, while non-neoplastic pancreatic cell lines and two pancreatic cancer cell lines (Capan2 and SU8686) were fully methylated (Figure 1c).
We next performed bisulfite sequencing of normal pancreas. For this experiment we amplified a 361 bp amplicon with BMS primers that included the CpGs amplified by MSP. We found partial methylation in 3 of 9 normal pancreata by BMS. The CpGs methylated in normal pancreata were located -159 to -132 nucleotides upstream of the ATG start site and included the region amplified by the MSP primers).
We next employed pyrosequencing to further analyze the DNA methylation status of the ANK1 promoter in 5 normal pancreatic duct samples. This analysis confirmed that the ANK1 promoter was partially methylated, but predominantly unmethylated (10-15% CpGs analyzed were methylated) (Figure 2).
Figure 2: A. Methylation-specific PCR analysis of ANK1 in normal and neoplastic cells or tissues. Key: M in black box: methylated; PM in grey box: partial methylation; U in white box: unmethylated; M=male; F=female. B. Expression of ANK1 in normal and neoplastic tissues or cells. The bar graph summarizes qRT-PCR data analyzed by the delta-delta Ct method. Each Ct value was normalized to GAPDH and calibrated by the average of BxPC3 delta Ct value (=1). Data are the mean ± SD. C. Western blot of Ank1. The Ank1 protein appears as two major bands at approximately 210 kDa. The lysate from K562 cells was used as a positive control and GAPDH (~40kDa) was used as a loading control. D. Induction of ANK1 mRNA by 5-aza-dC. In ANK1 negative lines HPDE, HPNE and Capan2, ANK1 expression was induced after 5-aza-dC treatment, but TSA had no effect. Each Ct value was normalized to GAPDH and calibrated by a reference to untreated Panc-1 cells. Data are shown as the mean ± SD.
We next examined the methylation status of pancreatic tissue samples by methylation specific PCR (MSP). The MSP assay correlated exactly with results obtained by BMS in the 9 cell lines examined. We then expanded the panel for MSP analysis to 10 pancreatic cancer cell lines, 47 xenografts of primary pancreatic cancers, 2 normal pancreatic cell lines, 32 normal pancreatic tissues and 2 microdissected normal duct epithelia. As shown in Figure 2A, MSP analysis revealed that 30 of 47 (63.8%) cancer xenografts and 5 of 10 (50.0%) cancer lines were unmethylated while the normal samples were all partially methylated.
Next we analyzed ANK1 mRNA levels in a panel of pancreatic cancers and normal samples using quantitative RT-PCR. ANK1 expression was detected in 6 of 9 pancreatic cancer cell lines and 7 of 9 xenografts but little or no expression was detected in normal pancreatic and liver tissues or in the non-neoplastic pancreatic cell lines, HPDE and HPNE (Figure 2B). We also examined ANK1 expression in our Serial Analysis of Gene Expression (SAGE) database  and found ANK1 was expressed in 18 (75%) of 24 pancreatic cancer samples but was not expressed in microdissected normal pancreatic duct or in the non-neoplastic cell line, HPDE. SAGE analysis also revealed that ANK2, the ankyrin expressed in lymphocytes, was not differentially expressed in pancreatic cancers.
Small isoforms of ANK1 that are expressed from a different promoter have been described. These isoforms are more widely expressed and have a different structure and intracellular localization compared to the large isoform of ANK1 . However, our MCA data did not reveal any difference in methylation between pancreatic cancer and normal pancreas for the CpG island associated upstream of this small isoform (data not shown). We also examined the expression of small isoforms of ANK1 using specific qRT-PCR primers (Figure 1B) and found no relationship between the expression of the small and large isoforms of ANK1.
We next examined the expression of ankyrin-1 protein by immunoblotting analysis. As shown in Figure 2C, the ankyrin-1 antibody detected two major bands around the expected size of 200 kDa in the control erythroleukemia cell line, K562 (Figure 1B) and in pancreatic cancer lines but not in non-neoplastic pancreatic cell lines. These results are consistent with the qRT-PCR results described above. Since our pancreatic cancer cell lines aberrantly expressed the large isoform of ankyrin-1, for the remainder of the text we use ankyrin-1 to refer to this larger isoform.
Since ANK1 expression of in pancreatic cell lines was correlated with aberrant hypomethylation of the ANK1 promoter, we investigated DNA methylation and histone modification in the regulation of ANK1 transcription. After 5-aza-dC treatment ANK1 mRNA was induced in the ANK1-non-expressing cell lines (Figure 2D), but there was no significant change in the ANK1-expressing cell line, Panc-1 after 5-aza-dC or TSA treatment supporting the role of DNA methylation in silencing the ANK1 promoter.
Next, we performed immunohistochemical labeling of ankyrin-1 on TMAs containing primary pancreatic adenocarcinomas and adjacent non-neoplastic pancreatic tissues. Strong positive labeling was clearly detectable in erythrocyte membranes as expected (Figure 3A). Weak intensity labeling was also diffusely present throughout the cytoplasm in various cell types, including pancreatic acinar and stromal cells. Of 241 primary pancreatic cancers evaluated, 125 cases (51.9%) showed strong membrane immunolabeling for ankyrin-1 (Figure 3A) and/or diffuse labeling in the cytoplasm, whereas in the remaining 116 cases (48.1%) staining was either weakly present in the cytoplasm or completely absent (Figure 3A).
Figure 3: A. Ank1 immunohistochemical labeling in pancreatic ductal adenocarcinomas and normal pancreas. (a) Diffuse cytoplasmic and membranous Ank1 expression. Scattered strongly positive signal is observed in erythrocytes, which serve as an internal positive control. (b) Strong Ank1 labeling is identified in luminal border of as well as cytoplasm of tumor cells, while adjacent normal pancreatic ductal epithelial cells show lack of Ank1expression (arrows). (c) An example of a pancreatic cancer without Ank1 expression. (d) Ank1 was expressed in erythrocytes (*) with moderate intensity. Acinar cells and inflammatory cells are also diffusely and weakly stained to Ank1. In contrast, normal ductal epithelial cells are negative (triangle). B. Kaplan-Meier survival analysis of pancreatic ductal adenocarcinoma according to Ank1expression. Patients with high Ank1expression (median survival 28.0 months; n=125) had a significantly worse patients’ survival time than those with low/no Ank1 expression (median survival 38.5 months; n=116; log-rank test, P=0.026).
We found evidence that overexpression of ankyrin-1 had prognostic significance. There was a significant association between overexpression of ankyrin-1 and reduced survival, using univariate analysis (p=0.026, Figure 3B), with a median survival of 14.7 months in the ankyrin-1-overexpressing cases versus 22.6 months in patients without ankyrin-1- overexpressing cancers. But ankyrin-1 expression was also significantly associated with poorly differentiated cancers (p<0.04) and a multivariate analysis of prognostic factors associated with outcome of pancreatic cancer (including ankyrin-1 expression, tumor grade, lymph node metastasis, perineural invasion, vascular invasion and maximum tumor diameter) using the Cox proportional hazards model did not find that ankyrin-1 overexpression was an independent predictor of outcome (Relative risk, 1.22; P =0.26; Figure 3B).
We also found that miR-486 is located in the coding region of ANK1 suggesting that miR-486 is co-expressed with ANK1 in pancreatic cancer cells. Consistent with this, miR-486 expression in erythrocytes is regulated by GATA1 binding to the ANK1 promoter . MiR-486 has been reported to be overexpressed in pancreatic cancer cells and in pancreatic precursor neoplasms [26, 27]. We examined the expression of miR-486-3p and miR-486-5p in pancreatic cancer cell lines and its relationship to ANK-1 expression and found a tight correlation, consistent with co-expression (Figure 4). To further examine this relationship, we examined miR-486 expression in cells with ANK1 knockdown and show that like ANK1, miR-486 expression is significantly reduced in these cells. We also examined the effect of DNA methylation inhibition on miR-486 expression on cells with methylation of the ANK1 promoter region that do not normally express ANK1 (HPDE and HPNE) as well as cells that normally express ANK1 (Figure 4B). We find that in HPDE and HPNE cells where both ANK1 and miR-486 are silenced, DNA methylation inhibition also induces expression of miR-486, whereas in Panc-1 cells which have an unmethylated ANK1 promoter region and expression of both ANK1 and miR-486 there was a mild reduction in miR-486 expression (Figure 4C).
Figure 4: Co-expression of ANK1 and miR-486 in pancreatic cell lines. A. Pancreatic cell line expression of ANK1, miR-486-3p and miR-486-5p. B. The effect of ANK1 knockdown on miR-486-3p and miR-486-5p expression. C. The effect of DNA methylation inhibition with 5-deoxycytosine on the expression of ANK1, miR-486-3p and miR-486-5p.
ANK1 knockdown and anchorage-independent growth
Next, we determined the consequences of reducing ANK1 expression by stably expressing ANK1-targeted shRNAs. Two independent shRNA species, ANK1-1 and ANK1-4, efficiently reduced ANK1 expression by 60-80% in AsPC1 cells 48 hours after transfection, while a non-silencing control shRNA had no significant effect (NC-AsPC1, Figure 5A). Both the ANK1-1 and ANK1-4 transfectants were grown under selection and pooled populations of clones were used for further studies (ANK1-KO-AsPC1). We observed ~70% reduction in Ankyrin-1 protein in ANK1-KO-AsPC1 cells by immunoblotting (Figure 5A, right panel).
Figure 5: A. Analysis of ANK1 expression in the knockout constructs. Expression was measured by qRT-PCR (left panel) and Western blotting (right panel). B. Morphology of pancreatic cancer cells with the ANK1 knockdown. (a) and (b) a significant portion ANK1-4 cells had multiple nuclei and the associated cytoplasm was markedly enlarged. (c) The same phenotype was present in the other knockout line, ANK1-1. (d) Negative control line NC-AsPC1: Original magnification; (a) ×40 (b)-(d) ×200; H & E staining. C. Anchorage-dependent cell growth quantified by MTS assay. No significant change in the growth rate can be seen between ANK1-KO-AsPC1 and NC-AsPC1 cells. D. Anchorage-independent cell growth was measured by soft-agar colony formation assay. A bar chart shows the mean value (±SD) for colony counts in a defined field. Knockdown of ANK1 significantly inhibits colony formation (*: p <0.001). E. Tumor formation in nude mice. ANK1-KO-AsPC1cells are injected in left flank of mouse and NC-AsPC1 cells are in right flank. Tumors in a representative animal containing NC-AsPC1 cells and ANK1-KO-AsPC1cells are shown in the left panel. Upper panel showed NC-AsPC1 tumor and lower panel showed ANK1-KO-AsPC1 tumor.
Clones isolated from ANK1-KO-AsPC1 cultures were stained with H&E (Figure 5B). Interestingly, changes in cell shape were observed after transfection with shRNAs, and some cells exhibited a markedly altered morphology, characterized by giant cells with multiple nuclei. Additionally, most of the nuclei in ANK1-KO-AsPC1 cells were slightly larger and had more frequent chromosome condensations than the NC-AsPC1 control cells (Figure 5B b-d). The same morphological change was produced in both independent stable knockdown lines transfected with ANK1-4 or ANK1-1 (Figure 5B b and c), suggesting that these changes are not due to any off-target effect of the siRNA.
The impact of reduced ANK1 expression on cell proliferation was measured in the ANK1 knockdown and control cells, but no difference was observed (Figure 5C). However, ANK1 knockdown significantly decreased colony formation in soft agar compared to controls (Figure 5D, p<0.0001). Also, the tumorigenicity of ANK1-KO-AsPC1 cells was remarkably suppressed in athymic nude mice compared to control cells (Figure 5E, p<0.005) with reduced tumor volumes apparent within one week of transplantation (p=0.00029).
The present study demonstrates that ANK1 is aberrantly expressed in pancreatic adenocarcinomas in association with promoter hypomethylation and silencing its expression in pancreatic cancer cells is associated with phenotypic changes including decreases in in vivo tumor growth.
We found partial methylation of the ANK1 promoter and no expression by immunohistochemistry in normal pancreatic ductal epithelia. Our results indicate that normal pancreas shows partial methylation of ANK1 with pyrosequencing results indicating low-level promoter methylation (10-15% of CpGs at a locus). Since 5-aza-dC treatment of ANK1-silenced pancreatic cancer cell lines induces ANK1 expression, promoter methylation is an important regulator of ANK1 expression. We also found evidence that miR-486 which is located in the ANK1 coding region was co-expressed with ANK1. Prior studies have found that miR-486 promotes growth of myeloid cells [25, 28], raising the possibility that its co-expression with ANK1 could also promote pancreatic cancer growth. Although miR-486 is overexpressed in pancreatic cancer [26, 27], it likely has a limited role as a circulating diagnostic marker because of the abundant expression of miR-486 in erythrocytes.
We found that stable knockdown of ANK1 expression induced  morphological changes in some cells, characterized by large cells with multiple nuclei, and  a significant decrease in growth in soft agar in vitro, as well as tumorigenicity in vivo. The presence of large, multinucleated cells in the ANK1 knockdowns suggests that loss of ANK1 can disrupt the machinery responsible for cell division, possibly through an effect on actin-filament rearrangement. Previous studies have suggested that ankyrin is a component of the spectrin-actin cytoskeleton and is involved in cell motility, activation, proliferation and the maintenance of specialized membrane domains . Overall, our results indicate the potential value of downregulating ANK1 as a strategy for inhibiting the tumorigenicity of pancreatic cancer cells.
In summary, we find that ANK1 is overexpressed in the majority of pancreatic adenocarcinomas in association with DNA hypomethylation and promotes growth in soft agar and tumor growth in vivo. Ankyrin-1 may be an attractive therapeutic target for pancreatic cancers.
MATERIALS AND METHODS
Cell lines and tissue samples
Ten human pancreatic cancer cell lines AsPC1, BxPC3, Capan2, CFPAC1, MiaPaCa2, Hs766T, Panc-1, SU8686, Panc2.5, and Panc1.28 were maintained under standard conditions as was the and the immortalized pancreatic duct cell line, HPDE and the human pancreatic Nestin-expressing cells (HPNE) were generously provided by Dr Ming-Sound Tsao (University of Toronto) and Dr. Ouellette (University of Nebraska Medical Center, NE), respectively.
Normal and neoplastic tissues were obtained from pancreatic adenocarcinomas resected at the Johns Hopkins Hospital. Normal pancreata were obtained from discarded stored frozen tissues from 11 patients who underwent a pancreatic resection for an intraductal papillary mucinous neoplasm (IPMN); from 7 patients with a neuroendocrine tumor; and from 14 patients with invasive ductal adenocarcinoma. These 32 patients were of similar age to the patients with pancreatic adenocarcinoma (mean age 63.6 years). The demographic breakdown was 18 females, 31 Caucasians and 1 African-American. The normal pancreas from these patients was chosen to test for possible age-related or field-effect changes in methylation. Normal pancreatic tissue from each case was dissected for DNA isolation. Genomic DNA was isolated from 47 cancer xenografts, established from primary carcinomas as described (44). These xenografts consisted of 43 pancreatic cancers, 3 distal common bile duct cancers, and 1 duodenal cancer. The mean age of this group was 67.0 years (30 females, 37 Caucasians, 4 African-Americans, 2 Asians, and 4 of unknown ethnicity). Formalin-fixed paraffin-embedded tissues were retrieved from 252 patients who underwent surgical resection at our institution to create tissue microarrays (TMAs) for immunohistochemical analyses. All specimens were collected and analyzed with the approval of the Johns Hopkins Committee for Clinical Investigation.
Methylated CpG island amplification and (MCA) microarray analysis
Microarray data for Panc-1 versus HPDE cells was examined using data we previously generated , using Agilent’s Human promoter 44K chip-on-chip microarray (Agilent Technologies). Methylation-specific sites were called with a statistical p-value and log2 ratio using Agilent’s ChIP Analytics 1.3 software, incorporating the Whitehead Error Model.
Bisulfite-modified sequencing and methylation-specific PCR
The methylation status of the ANK1 5’ CpG-islands was determined by bisulfite-modified sequencing (BMS) and methylation-specific PCR (MSP) as described previously . Primers for ANK1 BMS and MSP are listed in Supplemental Table 1. Two sets of BMS primers were used with the shorter primers (primer set 2) used for pancreas tissue analysis. Sanger sequencing was performed at the Johns Hopkins Sequencing Facility as previously described . Pyrosequencing was performed using primers targeting the ANK1 promoter as previously described .
Treatment with 5-aza-2’-deoxycytidine (5Aza-dC) and trichostatin a (TSA)
Cells were treated with 5-aza-dC (Sigma Chemical) at 1μmol/L for 4 days and/or 1μmol/L of TSA for 24 hours as previously described . Total RNA from frozen tissues or cell lines was extracted using the mirVana miRNA Isolation Kit (Ambion) and processed using the DNA-free Kit (Ambion) to eliminate DNA.
Real-time reverse transcription polymerase chain reaction (real-time RT-PCR)
2μg of total RNA was reverse transcribed using Superscript III and 250 ng of random hexamers (Invitrogen Life Technologies). The cDNA of ANK1 was quantified using the SYBR green I method as previously described .
Primers for ANK1 qRT-PCR are shown in supplemental Table 1. The housekeeping genes GAPDH and PGK1 were used as references. Real time RT-PCRs were performed in triplicate as previously described .
The HRP EnVision+ System (DAKO Corp.,) was used to evaluate ankyrin-1 protein expression in TMAs using a mouse polyclonal anti-ankyrin antibody (ABR-Affinity Bioreagents; 1:1000 dilution) using methods previously described (30). Erythrocytes were used as a positive control. The relative intensity of labeling was evaluated in neoplastic and normal duct cells. The area of immunostaining was scored as follows: 0, 0 to 5% of labeled tumor cells; 1, 5% to 25%; 2, from 25% to 50%; and 3, from 50 to 75%; 4, above 75%. Staining intensity was scored as follows: 0, no appreciable labeling; 1, mild; 2, strong intensity. The scoring index was determined by multiplying the area score and the intensity score.
Generation of a stable ANK1 knockdown cell line
The antisense constructs were purchased from Open Biosystems (Huntsville, AL). They included ANK1-shRNA constructs ANK1-4 (Cat# V2HS_71234) and ANK1-1(Cat#V2HS_89652); the non-silencing negative control shRNA (Cat# RHS1707); and the empty vector control pSM2 (Cat# RHS1704). To establish a stable ANK1-knock down cell line, each vector was transfected into AsPC1 cells with Effectene (Qiagen) and 1~2μg/ml puromycin added to the media 48 hr after transfection. Selection was carried out for 2~3 weeks and puromycin-resistant cells were cloned by limiting dilution, in 96-well tissue culture plates. Clones were expanded in 24-well plates then checked for ANK1 expression by qRT-PCR and western blotting. Pooled populations of 5~10 clones were used to make the ANK1 knockdown line ANK1-KO-AsPC1 and the negative control line (NC-AsPC1).
Total protein lysates were extracted in RIPA buffer (Roche Diagnostics, Indianapolis, IN). Protein concentrations were determined using the Bio-Rad protein assay system (Bio-Rad Laboratories Hercules, CA). Membranes were then incubated overnight at 4°C with mouse polyclonal anti-ankyrin-1 (ABR-Affinity Bioreagents) or rabbit polyclonal anti-GAPDH (Sigma). Membranes were incubated with horseradish peroxidase (HRP)-conjugated secondary antibody in 2.5 K% dry milk for 1 hr. The anti-mouse antibody was diluted 1:1000 and the anti-rabbit antibody was diluted 1:2000 (Amersham Inc, NJ). Bound antibody was detected with the ECL system (GE Healthcare, Piscataway, NJ).
Cell proliferation and colony formation assays
For cell proliferation assays, 1×104 cells were plated into 96-well plates and proliferation measured with the MTS assay (Promega)) according to the manufacturer’s instructions.
To measure anchorage-independent growth, 1×105 cells /well were suspended in 0.35% agar and layered into 6-well plates containing 0.8% agar. Cells were allowed to grow for 2 weeks and spherical colonies were photographed using Chemi Doc XRS (Bio-Rad) and counted with Quantity One 1-D Analysis Software (Bio-Rad).
Mouse xenograft studies
Six-week-old male nu/nu mice were injected with 5 x 106 ANK1-KO-AsPC1 and NC-AsPC1 cells in a volume of 200 μL of PBS/Matrigel (1/1 (v/v). Injections were made subcutaneously in the left and right flanks, respectively at day 0. Tumor volume was measured using electronic calipers weekly as previously described . All animal experiments conformed to the guidelines of the Animal Care and Use Committee of Johns Hopkins University. Animals were maintained in accordance with the guidelines of the American Association of Laboratory Animal Care.
Values reported are means ± SD. All data were normally distributed and underwent equal variance testing. Statistical analysis was performed using the SPSS program, (v. 11.0.1J). Mean differences between two subgroups were compared using Student’s t-test. P<0.05 was considered statistically significant.
This work was supported by NIH grant (CA62924), Susan Wojcicki and Dennis Troper, the Pancreatic Cancer Action Network, and the Rolfe Pancreatic Cancer Foundation.
CONFLICTS OF INTEREST
The authors have no conflicts to declare.
1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA: a cancer journal for clinicians. 2016;66:7-30.
2. Vincent A, Herman JM, Schulick R, Hruban R, Goggins M. Pancreatic Cancer. Lancet. 2011;378:607-20.
3. Jones PA, Baylin SB. The epigenomics of cancer. Cell. 2007;128:683-92.
4. Sato N, Fukushima N, Chang, R, Matsubayashi H, Goggins M. Differential and epigenetic gene expression profiling identifies frequent disruption of the RELN pathway in pancreatic cancers. Gastroenterology. 2006;130:548-65.
5. Sato N, Fukushima N, Maitra A, Matsubayashi H, Yeo CJ, Cameron JL, Hruban RH, Goggins M. Discovery of novel targets for aberrant methylation in pancreatic carcinoma using high-throughput microarrays. Cancer research. 2003;63:3735-42.
6. Sato N, Matsubayashi H, Abe T, Fukushima N, Goggins M. Epigenetic down-regulation of CDKN1C/p57KIP2 in pancreatic ductal neoplasms identified by gene expression profiling. Clinical cancer research. 2005;11:4681-8.
7. Fukushima N, Sato N, Ueki T, Rosty C, Walter KM, Yeo CJ, Hruban RH, M G. Preproenkephalin and p16 gene CpG island hypermethylation in pancreatic intraepithelial neoplasia (PanIN) and pancreatic ductal adenocarcinoma. The American journal of pathology. 2002;160:1573-81.
8. Sato N, Ueki T, Fukushima N, Iacobuzio-Donahue CA, Yeo CJ, Cameron JL, Hruban RH, M. G. Aberrant Methylation of CpG Islands in Intraductal Papillary Mucinous Neoplasms of the Pancreas Increases with Histological Grade. Gastroenterology. 2002;123:1365-72.
9. Vincent A, Omura N, Hong SM, Jaffe A, Eshleman J, Goggins M. Genome-Wide Analysis of Promoter Methylation Associated with Gene Expression Profile in Pancreatic Adenocarcinoma. Clinical cancer research. 2011;17:4341-54.
10. Sato N, Maitra A, Fukushima N, van Heek NT, Matsubayashi H, Iacobuzio-Donahue CA, Rosty C, Goggins M. Frequent hypomethylation of multiple genes overexpressed in pancreatic ductal adenocarcinoma. Cancer research. 2003;63:4158-66.
11. Nones K, Waddell N, Song S, Patch AM, Miller D, Johns A, Wu J, Kassahn KS, Wood D, Bailey P, Fink L, Manning S, Christ AN, Nourse C, Kazakoff S, Taylor D, Leonard C, Chang DK, Jones MD, Thomas M, Watson C, Pinese M, Cowley M, Rooman I, Pajic M, Butturini G, Malpaga A, Corbo V, Crippa S, Falconi M, Zamboni G, Castelli P, Lawlor RT, Gill AJ, Scarpa A, Pearson JV, Biankin AV, Grimmond SM. Genome-wide DNA methylation patterns in pancreatic ductal adenocarcinoma reveal epigenetic deregulation of SLIT-ROBO, ITGA2 and MET signaling. International journal of cancer Journal international du cancer. 2014;135:1110-8.
12. Hong SM, Omura N, Vincent A, Li A, Knight S, Yu J, Hruban RH, Goggins M. Genome-wide CpG island profiling of intraductal papillary mucinous neoplasms of the pancreas. Clinical cancer research. 2012;18:700-12 PMC3271174.
13. Vincent A, Hong SM, Hu C, Omura N, Young A, Kim H, Yu J, Knight S, Ayars M, Griffith M, Van Seuningen I, Maitra A, Goggins M. Epigenetic silencing of EYA2 in pancreatic adenocarcinomas promotes tumor growth. Oncotarget. 2014;5:2575-87. doi: 10.18632/oncotarget.1842.
14. Omura N, Li CP, Li A, Hong SM, Walter K, Jimeno A, Hidalgo M, Goggins M. Genome-wide profiling of methylated promoters in pancreatic adenocarcinoma. Cancer Biol Ther. 2008;7:1146-56.
15. O’Sullivan E, Goggins M. DNA methylation analysis in human cancer. Methods in molecular biology (Clifton, NJ). 2013;980:131-56.
16. Bennett V, Chen L. Ankyrins and cellular targeting of diverse membrane proteins to physiological sites. Curr Opin Cell Biol. 2001;13:61-7.
17. Lambert S, Yu H, Prchal JT, Lawler J, Ruff P, Speicher D, Cheung MC, Kan YW, Palek J. cDNA sequence for human erythrocyte ankyrin. Proc Natl Acad Sci U S A. 1990;87:1730-4.
18. Gallagher PG, Romana M, Tse WT, Lux SE, Forget BG. The human ankyrin-1 gene is selectively transcribed in erythroid cell lines despite the presence of a housekeeping-like promoter. Blood. 2000;96:1136-43.
19. Zhu D, Bourguignon LY. Interaction between CD44 and the repeat domain of ankyrin promotes hyaluronic acid-mediated ovarian tumor cell migration. Journal of cellular physiology. 2000;183:182-95.
20. Mellor L, Knudson CB, Hida D, Askew EB, Knudson W. Intracellular domain fragment of CD44 alters CD44 function in chondrocytes. The Journal of biological chemistry. 2013;288:25838-50.
21. Lunnon K, Smith R, Hannon E, De Jager PL, Srivastava G, Volta M, Troakes C, Al-Sarraj S, Burrage J, Macdonald R, Condliffe D, Harries LW, Katsel P, Haroutunian V, Kaminsky Z, Joachim C, Powell J, Lovestone S, Bennett DA, Schalkwyk LC, Mill J. Methylomic profiling implicates cortical deregulation of ANK1 in Alzheimer’s disease. Nature neuroscience. 2014;17:1164-70.
22. De Jager PL, Srivastava G, Lunnon K, Burgess J, Schalkwyk LC. Alzheimer’s disease: early alterations in brain DNA methylation at ANK1, BIN1, RHBDF2 and other loci. 2014;17:1156-63.
23. Jones S, Zhang X, Parsons DW, Lin JC, Leary RJ, Angenendt P, Mankoo P, Carter H, Kamiyama H, Jimeno A, Hong SM, Fu B, Lin MT, Calhoun ES, Kamiyama M, Walter K, Nikolskaya T, Nikolsky Y, Hartigan J, Smith DR, Hidalgo M, Leach SD, Klein AP, Jaffee EM, Goggins M, Maitra A, Iacobuzio-Donahue C, Eshleman JR, Kern SE, Hruban RH, Karchin R, Papadopoulos N, Parmigiani G, Vogelstein B, Velculescu VE, Kinzler KW. Core signaling pathways in human pancreatic cancers revealed by global genomic analyses. Science. 2008;321:1801-6. Epub 2008 Sep 4.
24. Zhou D, Birkenmeier CS, Williams MW, Sharp JJ, Barker JE, Bloch RJ. Small, membrane-bound, alternatively spliced forms of ankyrin 1 associated with the sarcoplasmic reticulum of mammalian skeletal muscle. J Cell Biol. 1997;136:621-31.
25. Shaham L, Vendramini E, Ge Y, Goren Y, Birger Y, Tijssen MR, McNulty M, Geron I, Schwartzman O, Goldberg L, Chou ST, Pitman H, Weiss MJ, Michaeli S, Sredni B, Gottgens B, Crispino JD, Taub JW, Izraeli S. MicroRNA-486-5p is an erythroid oncomiR of the myeloid leukemias of Down syndrome. Blood. 2015;125:1292-301.
26. Yu J, Li A, Hong SM, Hruban RH, Goggins M. MicroRNA alterations of pancreatic intraepithelial neoplasias. Clinical cancer research. 2012;18:981-92 PMC3288338.
27. Mees ST, Mardin WA, Sielker S, Willscher E, Senninger N, Schleicher C, Colombo-Benkmann M, Haier J. Involvement of CD40 targeting miR-224 and miR-486 on the progression of pancreatic ductal adenocarcinomas. Annals of surgical oncology. 2009;16:2339-50.
28. Wang LS, Li L, Li L, Chu S, Shiang KD, Li M, Sun HY, Xu J, Xiao FJ, Sun G, Rossi JJ, Ho Y, Bhatia R. MicroRNA-486 regulates normal erythropoiesis and enhances growth and modulates drug response in CML progenitors. Blood. 2015;125:1302-13.
29. Kanda M, Matthaei H, Wu J, Hong SM, Yu J, Borges M, Hruban RH, Maitra A, Kinzler K, Vogelstein B, Goggins M. Presence of Somatic Mutations in Most Early-Stage Pancreatic Intraepithelial Neoplasia. Gastroenterology. 2012;142:730-3.e9.
30. Walter K, Omura N, Hong SM, Griffith M, Vincent A, Borges M, Goggins M. Overexpression of Smoothened activates the Sonic Hedgehog signaling pathway in pancreatic cancer associated fibroblasts. Clin Cancer Res. 2010;16:1781-9.
31. Mullendore ME, Koorstra JB, Li YM, Offerhaus GJ, Fan X, Henderson CM, Matsui W, Eberhart CG, Maitra A, Feldmann G. Ligand-dependent Notch Signaling Is Involved in Tumor Initiation and Tumor Maintenance in Pancreatic Cancer. Clin Cancer Res. 2009;15:2291-301. Epub 009 Mar 3.
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