CDH22 hypermethylation is an independent prognostic biomarker in breast cancer
© The Author(s). 2017
Received: 7 July 2016
Accepted: 29 December 2016
Published: 24 January 2017
Cadherin-like protein 22 (CDH22) is a transmembrane glycoprotein involved in cell-cell adhesion and metastasis. Its role in cancer is controversial because it has been described as being upregulated in colorectal cancer, whereas it is downregulated in metastatic melanoma. However, its status in breast cancer (BC) is unknown. The purpose of our study was to determine the molecular status and clinical value of CDH22 in BC.
We observed by immunohistochemistry that the level of CDH22 expression was lower in BC tissues than in their matched adjacent-to-tumour and non-neoplastic tissues from reduction mammoplasties. Since epigenetic alteration is one of the main causes of gene silencing, we analysed the hypermethylation of 3 CpG sites in the CDH22 promoter by pyrosequencing in a series of 142 infiltrating duct BC cases. CDH22 was found to be hypermethylated in tumoral tissues relative to non-neoplastic mammary tissues. Importantly, this epigenetic alteration was already present in adjacent-to-tumour tissues, although to a lesser extent than in tumoral samples. Furthermore, CDH22 gene regulation was dynamically modulated in vitro by epigenetic drugs. Interestingly, CDH22 hypermethylation in all 3 CpG sites simultaneously, but not expression, was significantly associated with shorter progression-free survival (p = 0.015) and overall survival (p = 0.021) in our patient series. Importantly, CDH22 hypermethylation was an independent factor that predicts poor progression-free survival regardless of age and stage (p = 0.006).
Our results are the first evidence that CDH22 is hypermethylated in BC and that this alteration is an independent prognostic factor in BC. Thus, CDH22 hypermethylation could be a potential biomarker of poor prognosis in BC.
KeywordsCDH22 DNA methylation Breast cancer Predictive biomarker
Breast cancer (BC) is the most frequent type of cancer among women and one of the leading causes of cancer-related deaths worldwide [1, 2]. In recent years, an increase in overall survival (OS) has been achieved, mainly due to advances in early detection programmes and therapeutic strategies, although its incidence remains high . BC originates from the accumulation of genetic and epigenetic abnormalities in tumour suppressor genes and oncogenes . A thorough understanding of the mechanisms responsible for BC onset and progression is needed to develop prognostic biomarkers and efficient targeted therapies.
BC comprises five major pathological subtypes: luminal A-like, luminal B-like (HER2-negative), luminal B-like (HER2-positive), HER2-positive (non-luminal) and triple-negative. This classification is based on immunohistochemical biomarkers (oestrogen, progesterone and HER2 receptors, and Ki-67), as confirmed in the last St Gallen International Expert Consensus . However, these subtypes are heterogeneous and patients within a subtype can display a differential prognosis , so new prognostic biomarkers are still needed to stratify BC patients with good and poor outcomes .
Epigenetic alterations are common molecular abnormalities in cancer, including DNA methylation, alterations in microRNA profiling, and post-translational modifications of histones [7, 8]. Aberrant DNA methylation is one of the most frequent molecular abnormalities in BC . Methylation of certain genes has been linked to clinical and pathological characteristics of breast tumours and is considered to be a biomarker of diagnosis , hormone receptor  and HER2  status, response to tamoxifen  and chemotherapy , metastases during follow-up  and a predictor of survival [11, 14].
The CDH22 gene, first described by Sugimoto et al. , is located on chromosome 20 and has 15 exons. It encodes a transmembrane glycoprotein of the cadherin family (known as CDH22 or PB-cadherin) that is involved in cell-cell adhesion. It has been found to participate in morphogenesis and tissue formation in neural and non-neural cells of the brain and neuroendocrine organs [16–18]. The expression of members of the cadherin family may affect tumorigenesis or metastasis of various cancers, and these proteins may serve as important biomarkers . However, this gene has not been previously studied in BC. Our aim was to determine the molecular status and clinical value of CDH22 in BC.
CDH22 protein level is lower in BC tissues than in non-neoplastic tissues
The CDH22 gene promoter is hypermethylated in BC
Pathological and clinical characteristics of BC patient series
Lymph node involvement
Tumour size (cm)
Progression-free survival (months)
Overall survival (months)
CDH22 hypermethylation in our series of patients
n = 142
Median % CpG1 methylation (range)
Median % CpG4 methylation (range)
Median % CpG5 methylation (range)
n = 26
Median % CpG1 methylation (range)
Median % CpG4 methylation (range)
Median % CpG5 methylation (range)
Non-neoplastic breast samples
n = 19
Median % CpG1 methylation (range)
Median % CpG4 methylation (range)
Median % CpG5 methylation (range)
Cut-off values (%)
Next, we interrogated whether CDH22 promoter methylation levels were correlated with protein expression. Methylation in only the CpG4 site was significantly correlated with immunohistochemical expression (Fig. 2b). However, the statistical significance was lost when considering methylation in all studied CpG sites.
CDH22 expression can be modulated by epigenetic drugs in BC cell lines
To test whether CDH22 expression can be dynamically modulated by epigenetic mechanisms, a panel of six BC cell lines and one immortalised but non-neoplastic mammary cell line (HBL-100) were treated with two epigenetic drugs (AZA and TSA). Although a slight decrease in CDH22 methylation was observed in some cell lines upon treatment with AZA+TSA, a very strong re-expression of CDH22 mRNA was found by qRT-PCR in all tested cell lines following epigenetic drug treatment (Fig. 2c). These results suggest that epigenetic treatments can restore CDH22 expression and that this can be dynamically modulated in vitro in BC.
CDH22 hypermethylation predicts BC progression
Although subtle correlation between protein expression and methylation has been observed in our series, the relationship between immunohistochemical CDH22 protein levels and PFS or OS was examined: no significant association was found between them, although high levels of protein tended to be associated with longer PFS and OS (Additional file 5: Figure S5).
CDH22 hypermethylation as an independent prognostic factor
This study explored the unknown molecular status and clinical value of CDH22 deregulation in BC, which have been described in other cancer types [16, 17]. We provide the first evidence of the low level of expression of CDH22 in breast tumoral cells compared with non-neoplastic mammary tissue. The exact role of this protein in cancer is controversial. Thus, a lower level of CDH22 protein expression has been reported in metastatic melanoma than in dysplastic nevus . Conversely, mRNA and protein overexpression were described in primary and metastatic colorectal cancer relative to normal mucosa . These observations suggest that the role of CDH22 in cancer development and metastasis is likely to be tissue type-specific . This discrepancy might be explained by the two opposing roles of cell adhesion molecules: to prevent cells from metastasizing by increasing cell-cell adhesion at the site of the primary tumour and to enhance metastatic potential by increasing their anchorage to other cells at distant locations in the body after breaking off from the primary tumour [16, 19]. E-cadherin provides an example of this potential dual tissue-specific role, since it is lost in malignant epithelial cancers, and simultaneously is essential from promoting tumorigenesis in certain cancer types, including ovarian cancer  and inflammatory BC .
Despite its controversial role, no studies have examined the mechanisms underlying CDH22 deregulation in cancer. Thus, it has been suggested that mutations, epigenetic silencing and increased proteolysis may be involved in the loss of CDH22 expression . In this study, we have provided the first evidence that CDH22 downregulation in BC relative to non-neoplastic mammary tissues is due to promoter hypermethylation in a subset of cases. Additionally, we have observed that CDH22 silencing is dynamically restored in vitro by epigenetic drug treatment in a very similar manner in all BC cell lines. This epigenetic alteration has been assessed by pyrosequencing, a technique that yields a quantitative measure of methylation, in contrast to the qualitative technique of methylation-specific PCR . It is worth noting, as reported by other authors [23, 24], that a poly-T-enriched region in this gene promoter has compromised polymerase fidelity, making it difficult to analyse the rest of the gene promoter in several cases.
Importantly, CDH22 hypermethylation was significantly associated with shorter PFS and OS in our large series of BC patients. Accordingly, CDH22 deregulation was associated with clinical outcome in other cancer types: loss of CDH22 protein expression was correlated with melanoma progression, and with worse 5-year PFS, and a similar, though not significant pattern, was observed for 5-year OS ; in colorectal cancer CDH22 overexpression was significantly and positively correlated with progression, invasion, metastasis and clinical stage of patients . Above all, we showed that CDH22 hypermethylation, but not expression, was an independent prognostic factor in our BC series. It can predict shorter PFS, regardless of the key factors of age and stage in BC outcome, by using a quantitative and objective method like pyrosequencing in comparison with immunohistochemistry.
In conclusion, our results show that CDH22 is hypermethylated in BC, and that this epigenetic alteration is an independent biomarker predicting shorter PFS in BC.
We analysed a series of 142 formalin-fixed, paraffin-embedded samples from BC patients, diagnosed with infiltrating duct carcinoma breast between 1996 and 2006 in the Department of Pathology (Complejo Hospitalario de Navarra, Navarra Public Health System, Pamplona, Spain), upon microscopic evaluation by two independent observers in accordance with the recommended criteria of the St Gallen International Expert Consensus 2013  and considering a Ki-67 threshold of 14% , graded according to the Nottingham system  and staged with AJCC system . All tumours were surgically removed and staged according to their size, histological grade and degree of lymph node involvement. None of the patients had received radiotherapy or chemotherapy before surgery. Pathological and clinical characteristics are summarised in Table 1. All cases were chosen on the basis of them harbouring at least 70% tumour cells. Additionally, 88 paired non-neoplastic adjacent-to-tumour tissues and 24 non-neoplastic mammary samples from reduction mammoplasties were employed.
Three-micrometer sections of 88 BC tumours and their non-neoplastic adjacent-to-tumour counterparts, along with 24 non-neoplastic mammary samples were placed on slides and then deparaffinized, hydrated and treated to block endogenous peroxidase activity. After incubating with the primary rabbit polyclonal CDH22 antibody (ab171616, Abcam, Cambridge, UK) at 1:100 dilution for 20 min (antigen retrieval at 90 °C for 20 min, pH = 6.0), the antibody was developed using a Bond Polymer Refine Detection kit (Leica, Wetzlar, Germany) and visualised with diaminobenzidine. The pattern of expression was blind-evaluated by two independent observers. The intensity of expression was ascribed to one of four categories: 0, no expression; 1, weak expression; 2, intermediate expression; and 3, strong expression. Images were acquired with a Leica DM 4000B microscope (Leica, Wetzlar, Germany).
Cell lines and treatments
A panel of six human BC cell lines (T-47D, BT-474, BT-549, MDA-MB-468, Hs 578 T and MCF-7) and one immortalised but non-neoplastic mammary epithelial cell line (HBL-100) were used in this study. T-47D, BT-474, BT-549 and HBL-100 cell lines were purchased from the American Type Cell Collection (ATCC, Rockville, MD, USA). MDA-MB-468 and MCF-7 cell lines were obtained from the Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures (Braunschweig, Germany). The Hs 578T cell line was kindly provided by Dr Javier Benítez (Human Genetics Group, Spanish National Cancer Research Centre, Madrid, Spain). The human embryonic kidney 293T cells (ATCC, Rockville, MD, USA) were used as a positive control for CDH22 expression. All cell lines used were grown in RPMI-1640 or DMEM supplemented with 10% foetal bovine serum and 1% penicillin/streptomycin (all from Life Technologies, Carlsbad, CA, USA), at 37 °C in a humidified atmosphere with 5% CO2.
BC cell lines were treated with two epigenetic drugs: the demethylating agent 5-aza-2′-deoxycytidine (AZA) and the histone deacetylase inhibitor trichostatin A (TSA) (both from Sigma-Aldrich, St Louis, MO, USA). Briefly, cells were seeded at a density of 1 × 105 cells/ml, allowed to attach overnight and treated with 4 μM AZA for 72 h by adding the drug every 24 h, 300 nM TSA for 24 h or the combination of both drugs for the last 24 h, using PBS as the vehicle control.
DNA extraction, bisulphite conversion and pyrosequencing
To determine the methylation status of the CDH22 gene, DNA was extracted from formalin-fixed, paraffin-embedded breast tumours, adjacent-to-tumour tissues and non-neoplastic mammary tissues using a QIAamp DNA FFPE Tissue kit (Qiagen, Hilden, Germany). Bisulphite conversion of DNA was performed to transform unmethylated cytosines into thymidines, while methylated cytosines remained intact. Five hundred nanograms of DNA were treated with freshly prepared bisulphite using the EZ DNA Methylation-Gold kit (Zymo Research, Irvine, CA, USA) in accordance with the manufacturer’s recommendations. Pyrosequencing was carried out to analyse the methylation of five CpG sites in the promoter of the CDH22 gene (Additional file 1: Figure S1). For this purpose, first, PCR amplification was performed using Immolase DNA polymerase (BioLine, London, UK) in a final volume of 30 μl containing 2 μl of bisulphite-modified DNA and two sets of primers (i) forward primer 5′-GGTTTTTGATGGAAAGGGAAGGTTTTTA-3′, reverse primer 5′-BIOTIN-CCAAACAACACCTAAACAACTCCAAAAT-3′, (ii) forward primer 5′-BIOTIN-GGTTTTTGATGGAAAGGGAAGGTTTTTA-3′, reverse primer 5′-CCAAACAACACCTAAACAACTCCAAAAT-3′). Amplification conditions were initial DNA polymerase activation at 95 °C for 10 min followed by 50 cycles at 95 °C for 30 s, 67 °C for 30 s and 72 °C for 30 s, and final extension at 72 °C for 7 min. The amplicons were resolved by electrophoresis using 2% (w/v) agarose gel in 1 × tris-borate-EDTA buffer, stained using SYBR Red Safe (Life Technologies, Carlsbad, CA, USA) and visualised in a standard transilluminator (ChemiDoc XRS, Bio-Rad Laboratories, Hercules, CA, USA). Quantitative DNA methylation analysis was done as follows: 20 μl of PCR products were immobilised with Streptavidin Sepharose HP Beads (GE Healthcare Bio-Sciences, Pittsburgh, PA, USA) using a Vacuum Prep Work station. Two different sequencing primers (one forward 5′-GTTTTTAGTTTTGGTAGGAT-3′ for the amplicons generated with the first set of PCR primers and one reverse 5′-ACACCTAAACAACTCCA-3′ for the amplicons of the second set of PCR primers) were then annealed at 80 °C for 2 min in different reactions and pyrosequenced in a PyroMark Q24 using PyroMark Gold Q24 reagents and PyroQ-CpGTM Software (v.1.0.11) (all from Qiagen, Hilden, Germany). Results were analysed with PyroMark Q24 software in CpG analysis mode. Only methylation values found to be of high quality were considered.
RNA extraction and quantitative reverse transcription PCR
Quantitative reverse transcription PCR (qRT-PCR) was performed to assess the restoration of CDH22 expression by AZA+TSA treatment in BC cell lines. Briefly, total RNA was extracted and purified using an RNeasy Mini Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. Five hundred nanograms of total RNA were retrotranscribed using a PrimeScript™ RT reagent Kit (TaKaRa, Otsu, Japan) under conditions of 37 °C for 15 min and 85 °C for 5 s. One microliter of the resulting cDNA was placed in a 96-well plate with 0.5 μl TaqMan probes (CDH22, Hs.PT.58.50475831; GAPDH, Hs.PT.58.40035104 and ACTB, Hs.PT.39a.22214847 from IDT, Coralville, Iowa, USA; and 18S, Hs99999901_s1, from Life Technologies, Carlsbad, CA, USA) and 19 μl of the Premix Ex Taq™ kit (TaKaRa, Otsu, Japan). PCR amplification was performed in triplicate using the Quant Studio 12 K Flex (Life Technologies, Carlsbad, CA, USA) under thermal cycler conditions of 95 °C for 30 s and 40 cycles at 95 °C for 5 s and 60 °C for 34 s. The cycle threshold (Ct) values were calculated using Quant Studio software (Life Technologies, Carlsbad, CA, USA). The relative quantification (RQ) was calculated following the ΔCt method (RQ = 2−ΔCt), using GAPDH, ACTB or 18S as the endogenous control genes. Among them, GAPDH was found to be the better endogenous gene in our cell lines, with a smaller coefficient of variation. Therefore, relative expression of CDH22 was normalised with respect to the level of GAPDH expression.
Demographic, clinical and pathological data were summarised as frequencies (and percentages) or means and medians (and ranges), as appropriate. The differences in the frequency of immunohistochemical expression in non-neoplastic, adjacent-to-tumour, and tumour groups were evaluated by the Fisher’s exact test. The optimal cut-off value identifying the methylated or unmethylated status of the CDH22 gene promoter and predicting PFS and OS was estimated by ROC curve analysis, as previously described . Statistical differences in CpG site methylation between groups were determined by Mann–Whitney’s test. Kaplan–Meier plots and log-rank tests were used to examine the association between CDH22 methylation or expression and PFS and OS. A multivariate Cox regression model was fitted to test the independent contribution of each variable to the patient’s outcome after adjustment. Hazard ratios and 95% confidence intervals were used to estimate the effect of each variable on the outcome. Associations between clinical variables were tested by the χ 2 test.
The authors wish to thank V Coca and L Sanjosé from the Biobank of the Navarrabiomed. Departmento de Salud-UPNA. IdiSNA (Pamplona, Spain) for their excellent technical assistance with the immunohistochemical staining. We are indebted to the staff of the Complejo Hospitalario de Navarra (Pamplona, Spain) for their support: Dr F García-Bragado (Department of Pathology), and Dr JJ Illarramendi, Dr E Salgado and Dr R Vera (Department of Medical Oncology). We also thank Dr B Ibañez from the Methodology Unit of the Navarrabiomed. Departmento de Salud-UPNA. IdiSNA (Pamplona, Spain) for her exceptional statistical help. We are grateful to Dr A Fernández, Dr G Fernández Bayón and Dr M Fraga (Cancer Epigenetics Group, University Institute of Oncology of Asturias, IUOPA, Oviedo, Spain) for their assistance and training in pyrosequencing and bioinformatic techniques; and to Dr J Benítez (Human Genetics Group, Spanish National Cancer Research Centre, Madrid, Spain) for providing the Hs 578T cell line. We would like to thank the Breast Cancer Patients’ Association of Navarra (SARAY) for their support.
This work has been funded in competitive calls by the Spanish Institute of Health (PI14/00579), the Basque Foundation for Healthcare Research and Innovation (BIO-11-CM-013), La Caixa Foundation (70789) and the Breast Cancer Patients’ Association in Navarra (SARAY). EMS is the recipient of a grant from the Spanish Ministry of Economy and Competitiveness (PTA2015-11895-I).
Availability of data and materials
EMS designed and performed the experiments, analysed the data and wrote the manuscript. SM, AUG, IMS, IBL and AA performed the experiments. AC and DGS evaluated the immunohistochemistry cases. FVG and SDLC provided the clinical data. DGS conceived the research and revised the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The study was approved by the Regional Clinical Research Ethics Committee. Samples were obtained in accordance with the current Spanish legislation regarding written informed consent.
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- Stefansson OA, Moran S, Gomez A, Sayols S, Arribas-Jorba C, Sandoval J, Hilmarsdottir H, Olafsdottir E, Tryggvadottir L, Jonasson JG, et al. A DNA methylation-based definition of biologically distinct breast cancer subtypes. Mol Oncol. 2015;9:555–68.View ArticlePubMedGoogle Scholar
- Smith RA, Andrews K, Brooks D, DeSantis CE, Fedewa SA, Lortet-Tieulent J, Manassaram-Baptiste D, Brawley OW, Wender RC. Cancer screening in the United States, 2016: a review of current American Cancer Society guidelines and current issues in cancer screening. CA Cancer J Clin. 2016;66(2):96–114.View ArticlePubMedGoogle Scholar
- Guo T, Ren Y, Wang B, Huang Y, Jia S, Tang W, Luo Y. Promoter methylation of BRCA1 is associated with estrogen, progesterone and human epidermal growth factor receptor-negative tumors and the prognosis of breast cancer: a meta-analysis. Mol Clin Oncol. 2015;3:1353–60.PubMedPubMed CentralGoogle Scholar
- Goldhirsch A, Winer EP, Coates AS, Gelber RD, Piccart-Gebhart M, Thürlimann B, Senn HJ, members P. Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol. 2013;24:2206–23.View ArticlePubMedPubMed CentralGoogle Scholar
- Bonneterre J, Prat A, Galván P, Morel P, Giard S. Value of a gene signature assay in patients with early breast cancer and intermediate risk: a single institution retrospective study. Curr Med Res Opin. 2016;32(5):835–9.View ArticlePubMedGoogle Scholar
- Bediaga NG, Acha-Sagredo A, Guerra I, Viguri A, Albaina C, Ruiz Diaz I, Rezola R, Alberdi MJ, Dopazo J, Montaner D, et al. DNA methylation epigenotypes in breast cancer molecular subtypes. Breast Cancer Res. 2010;12(5):R77.View ArticlePubMedPubMed CentralGoogle Scholar
- Du J, Johnson LM, Jacobsen SE, Patel DJ. DNA methylation pathways and their crosstalk with histone methylation. Nat Rev Mol Cell Biol. 2015;16:519–32.View ArticlePubMedPubMed CentralGoogle Scholar
- Costa-Pinheiro P, Montezuma D, Henrique R, Jerónimo C. Diagnostic and prognostic epigenetic biomarkers in cancer. Epigenomics. 2015;7:1003–15.View ArticlePubMedGoogle Scholar
- Feng W, Shen L, Wen S, Rosen DG, Jelinek J, Hu X, Huan S, Huang M, Liu J, Sahin AA, et al. Correlation between CpG methylation profiles and hormone receptor status in breast cancers. Breast Cancer Res. 2007;9(4):R57.View ArticlePubMedPubMed CentralGoogle Scholar
- Fang C, Wei XM, Zeng XT, Wang FB, Weng H, Long X. Aberrant GSTP1 promoter methylation is associated with increased risk and advanced stage of breast cancer: a meta-analysis of 19 case-control studies. BMC Cancer. 2015;15:920.View ArticlePubMedPubMed CentralGoogle Scholar
- Widschwendter M, Siegmund KD, Müller HM, Fiegl H, Marth C, Müller-Holzner E, Jones PA, Laird PW. Association of breast cancer DNA methylation profiles with hormone receptor status and response to tamoxifen. Cancer Res. 2004;64:3807–13.View ArticlePubMedGoogle Scholar
- Fiegl H, Millinger S, Goebel G, Müller-Holzner E, Marth C, Laird PW, Widschwendter M. Breast cancer DNA methylation profiles in cancer cells and tumor stroma: association with HER-2/neu status in primary breast cancer. Cancer Res. 2006;66:29–33.View ArticlePubMedGoogle Scholar
- Wang L, Zeng H, Wang Q, Zhao Z, Boyer TG, Bian X, Xu W. MED12 methylation by CARM1 sensitizes human breast cancer cells to chemotherapy drugs. Sci Adv. 2015;1:e1500463.View ArticlePubMedPubMed CentralGoogle Scholar
- Shen Y, Wang Z, Loo LW, Ni Y, Jia W, Fei P, Risch HA, Katsaros D, Yu H. LINC00472 expression is regulated by promoter methylation and associated with disease-free survival in patients with grade 2 breast cancer. Breast Cancer Res Treat. 2015;154(3):473–82.View ArticlePubMedPubMed CentralGoogle Scholar
- Sugimoto K, Honda S, Yamamoto T, Ueki T, Monden M, Kaji A, Matsumoto K, Nakamura T. Molecular cloning and characterization of a newly identified member of the cadherin family, PB-cadherin. J Biol Chem. 1996;271:11548–56.View ArticlePubMedGoogle Scholar
- Piche B, Khosravi S, Martinka M, Ho V, Li G. CDH22 expression is reduced in metastatic melanoma. Am J Cancer Res. 2011;1:233–9.PubMedGoogle Scholar
- Zhou J, Li J, Chen J, Liu Y, Gao W, Ding Y. Over-expression of CDH22 is associated with tumor progression in colorectal cancer. Tumour Biol. 2009;30:130–40.View ArticlePubMedGoogle Scholar
- Saarimäki-Vire J, Alitalo A, Partanen J. Analysis of Cdh22 expression and function in the developing mouse brain. Dev Dyn. 2011;240:1989–2001.View ArticlePubMedGoogle Scholar
- Liu Y, Zhou J, Chen J, Gao W, Le Y, Ding Y, Li J. PRL-3 promotes epithelial mesenchymal transition by regulating cadherin directly. Cancer Biol Ther. 2009;8(14):1352–9.View ArticlePubMedGoogle Scholar
- Sundfeldt K. Cell-cell adhesion in the normal ovary and ovarian tumors of epithelial origin; an exception to the rule. Mol Cell Endocrinol. 2003;202:89–96.View ArticlePubMedGoogle Scholar
- Kleer CG, van Golen KL, Braun T, Merajver SD. Persistent E-cadherin expression in inflammatory breast cancer. Mod Pathol. 2001;14:458–64.View ArticlePubMedGoogle Scholar
- Shames DS, Minna JD, Gazdar AF. Methods for detecting DNA methylation in tumors: from bench to bedside. Cancer Lett. 2007;251:187–98.View ArticlePubMedGoogle Scholar
- Kajiyama T, Kuwahara M, Goto M, Kambara H. Optimization of pyrosequencing reads by superior successive incorporation efficiency of improved 2′-deoxyadenosine-5′-triphosphate analogs. Anal Biochem. 2011;416:8–17.View ArticlePubMedGoogle Scholar
- Harrington CT, Lin EI, Olson MT, Eshleman JR. Fundamentals of pyrosequencing. Arch Pathol Lab Med. 2013;137:1296–303.View ArticlePubMedGoogle Scholar
- Cheang MC, Chia SK, Voduc D, Gao D, Leung S, Snider J, Watson M, Davies S, Bernard PS, Parker JS, et al. Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer. J Natl Cancer Inst. 2009;101:736–50.View ArticlePubMedPubMed CentralGoogle Scholar
- Elston CW, Ellis IO. Pathological prognostic factors in breast cancer. I. The value of histological grade in breast cancer: experience from a large study with long-term follow-up. Histopathology. 1991;19:403–10.View ArticlePubMedGoogle Scholar
- Edge S, Byrd D, Compton C, Fritz A, Greene F, Trotti A. AJCC cancer staging manual. New York: Springer-verlag; 2010.Google Scholar
- Villani V, Casini B, Pace A, Prosperini L, Carapella CM, Vidiri A, Fabi A, Carosi M. The prognostic value of pyrosequencing-detected MGMT promoter hypermethylation in newly diagnosed patients with glioblastoma. Dis Markers. 2015;2015:604719.View ArticlePubMedPubMed CentralGoogle Scholar