Skip to main content
BMC Cancer logoLink to BMC Cancer
. 2018 Jul 3;18:711. doi: 10.1186/s12885-018-4627-8

Aberrant Promoter Methylation of YAP Gene and its Subsequent Downregulation in Indian Breast Cancer Patients

Sumayya Abdul Sattar Real 1, Farah Parveen 1, Asad Ur Rehman 1, Mohammad Aasif Khan 1, Sankaravamasam Venkata Suryanarayan Deo 2, Nootan Kumar Shukla 2, Syed Akhtar Husain 1,
PMCID: PMC6031145  PMID: 29970036

Abstract

Background

YAP, a potent oncogene and major downstream effector of the mammalian Hippo tumor suppressor pathway can act as either oncogene or tumor suppressor gene based on the type of tissue involved. Despite various studies, the role and mechanism through which YAP mediates its tumor suppressor or oncogenic effects are not yet fully understood. Therefore in the present study we aimed to investigate YAP at DNA, mRNA and protein level and also attempted to correlate our molecular findings with various clinicopathological variables of the patients.

Methods

The study comprised of a total 137 genetically unrelated women with sporadic breast cancer cases and normal adjacent tissues not infiltrated with tumor. Mutation of YAP gene was analyzed by automated DNA sequencing. YAP promoter methylation was studied using MS-PCR. Expression at mRNA and protein level was studied using qPCR and IHC respectively.

Results

In our study YAP mRNA expression was found to be 8.65 ± 6.17 fold downregulated in 67.15% cases. The expression of YAP when analyzed at the protein level by IHC was found to be absent in 78.83% cases. Results from MS-PCR analysis showed that YAP promoter methylation plays an important role in declining the expression of YAP protein. The absence of YAP protein coincided with 86.60% methylated cases thereby showing a very strong correlation (p = 0.001). We also investigated YAP mutation at the major check point sites in the Hippo pathway and observed no mutation. A significant association was observed on correlating mRNA expression with clinical stages (p = 0.038) and protein expression with ER status (p = 0.018) among Indian breast cancer patients.

Conclusion

The expression of YAP was found to be downregulated in response to aberrant promoter methylation. The downregulation of YAP are consistent with previous studies suggesting it to have a tumor suppressive role in breast cancer. We did not observe any mutation at the major check point sites in the Hippo pathway.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4627-8) contains supplementary material, which is available to authorized users.

Keywords: Downregulation, Hippo pathway, mRNA, Tumor suppressor gene, YAP

Background

Breast cancer accounts for 25% all cancers and is the second most common cancer in the world and the fifth cause of overall cancer mortality. Breast cancer is the most common cancer in women with 883,000 cases in less developed regions and 794,000 cases in more developed regions [1]. Breast cancer involves the interconnection of various signaling pathways [2]. Hippo signaling, an emerging tumor suppressor pathway plays a pivotal role in the development of mammary gland and breast cancer [3, 4].

YAP (Yes-associated protein) is a potent oncogene present at 11q22 amplicon and major downstream effector of the mammalian Hippo tumor suppressor pathway [5, 6]. YAP elevates invasion, proliferation, conceal apoptosis, and is adequate for transformation [7]. Cell-to-cell contacts lead to the activation of Hippo pathway which in turn leads to the phosphorylation of YAP at various serine residues including serine 127 by concerted action of LATS and MST, two uptream kinases and is secluded from the nucleus by 14-3-3 proteins thus decreasing the transcriptional activities of the target genes [6, 8]. Overexpression of YAP or its nuclear localization is frequently associated with many human cancers [9]. The tumor suppressor role of YAP is demonstrated in several studies showing its reduced level of expression in human breast cancer [10]. However, in breast cancer it is disputable of YAP being an oncogene or a tumor suppressor gene [11]. YAP can act as either oncogene or tumor suppressor gene based on the type of tissue involved [12].

Long-term existence of cancer cells requires the deregulation of diverse molecular processes [13]. Various genetic and epigenetic events in a single cell collaborated with clonal expansion and selection drives the initiation of breast cancer following its tumor progression. These events disrupt the function of gene in cancer [14, 15].

Despite various studies, the role and mechanism through which YAP mediates its tumor suppressor or oncogenic effects are not yet fully understood. To the best of our knowledge the status of YAP in Indian breast cancer patients has not been explored. In this manuscript, we have tried to investigate YAP at DNA, mRNA and protein level. We have also attempted to correlate our molecular findings with various clinicopathological variables of the patients.

Methods

Ethics statement

The study was approved by the Institutional Ethical Committee of All India Institute of Medical Sciences (AIIMS), New Delhi and the Institutional Human Ethical Committee of Jamia Millia Islamia, New Delhi. Written informed consent was obtained from all the participants in the study.

Biological specimen collection

A total of 137 genetically unrelated women with sporadic breast cancer cases were included in the study. Normal adjacent breast tissue not infiltrated with tumor served as control. Inclusion criteria included female breast cancer patients in the age group 20 to 79 years with life expectancy of at least 6 months, histopathological confirmation with primary breast cancer and patients ready to consent and abide by the trial related procedures. Exclusion criteria included in the study were previous exposure to chemotherapy or radiotherapy, patients with multiple cancers or undergoing surgery for the second time and patients with acute myocardial or surgical complications. All the breast cancer cases were recruited from the Department of Surgical Oncology, AIIMS. Various clinicopathological parameters of the patients were collected in detail from their medical records (Table 1).

Table 1.

Characteristics of study subjects (N = 137)

Characteristic Cases (%)
Age (years)
≤50 78 (56.93)
>50 59 (43.07)
Age at menarche
≤12 26 (18.98)
>12 111 (81.02)
Menopausal status
Premenopausal 40 (29.20)
Postmenopausal 97 (70.80)
Age at menopause
≤45 33 (34.02)
>45 64 (65.98)
ER status
Positive 81 (59.12)
Negative 56 (40.88)
PR status
Positive 47 (34.31)
Negative 90 (65.69)
Her2 status
Positive 66 (48.18)
Negative 71 (51.82)
Molecular subtypes of breast cancer
Luminal A 46 (33.58)
Luminal B 38 (27.74)
Her2-enriched 28 (20.44)
TNBC 25 (18.25)
Tumor size
≤5 55 (40.15)
>5 82 (59.85)
Lymph node status
Positive 99 (72.26)
Negative 38 (27.74)
Clinical stage
I+II 45(32.85)
III+IV 92(67.15)
Histological grade
I+II 95 (69.34)
III 42 (30.66)

Genomic DNA extraction

Genomic DNA was extracted from breast tumor and adjacent normal breast tissue based on the standard phenol-chlorofrom extraction method [16]. The quality and quantity of the isolated DNA was assessed by Nanodrop ND 1000 spectrophotometer (Eppendorf, Germany) and further confirmed by gel electrophoresis running on 1% agarose (Sigma-Aldrich, US) at 100mA/volt and stained with 0.5 μg/ml of ethidium bromide. The quality and quantity checkups of extracted DNA are shown in Additional file 1: Table S1. The ratio of absorbance at 260 nm and 280 nm (A260/A280) was taken to assess the purity of the DNA. ~1.8 ratio is accepted pure for DNA.

Automated DNA sequencing

Exon 1, 2, 8 and 9 of YAP gene harbouring codons for serine 61, 109, 127, 164, 397 and lysine 494 was amplified using the following set of primers (Table 2). The PCR products underwent purification and direct sequencing carried out at Scigenome labs, Cochin using both forward and reverse pair of primers. The sequencing was repeated in order to avoid any contamination or PCR artifacts and to stringently confirm the mutation.

Table 2.

Details of primers used in the present study

Primer Primer Sequence PCR product size (base pair) Annealing Temperatu-re (°C)
Mutation primers
YAP1 exon 1 (serine 61) F 5’-AGGCAGAAGCCATGGATC-3’ 338 56.6
R 5’-GGTTACCTGTCGGGAGTG-3’
YAP1 exon 2 (serine 109 and 127) F 5’-GGCTGCAATTAAGCGCTGAC-3’ 292 61.5
R 5’-TGCTGGCAGAGGTACATCATC-3’
YAP1 exon 2 (serine 164) F 5’-CGAGCTCATTCCTCTCCAGC-3’ 236 55.5
R 5’-AGATAACTGTCTCCCACC-3’
YAP1 exon 8 (serine 397) F 5’-TTCAGACATTGCAGGACAGG-3’ 248 58.8
R 5’-CCTGTATCCATCTCATCCACAC-3’
YAP1 exon 9 (lysine 494) F 5’-CTCTGTGTGTTTCCACTAGG-3’ 317 57.5
R 5’-CCGGTGCATGTGTCTCCTTAG-3’
Methylation primers
YAP1 methylation F 5’-AGTTCGTATAGGCGTTTCGTTC-3’ 187 57.9
F 5’-CTTAACTACAAAAAATTCTTCCGCT-3’
YAP1 unmethylation F 5’-AAGTTTGTATAGGTGTTTTGTTTGG-3’ 188 57.9
F 5’-CTTAACTACAAAAAATTCTTCCACT-3’
Expression primers
YAP1 F 5’-AAGCTGCCCGACTCCTTCTTCAAG-3’ 161 64.1
R 5’-GTCAGTGTCCCAGGAGAAACA-3’
GAPDH F 5’-CACTGCCACCCAGAAGACTG-3’ 150 61
R 5’-ATGCCAGTGAGCTTCCCGTT-3’

The Cancer Genome Atlas (TCGA)

The TCGA project (http://cancergenome.nih.gov/) constitutes genomic data analysis reservoir that has lead to the mapping of alterations in the genome in more than 11,000 human tumors across 33 types of cancer [1719]. cBioPortal for Cancer Genomics was used to obtain the data (http://www.cbioportal.org/) [20, 21].

Catalogue of Somatic Mutations in Cancer (COSMIC) Analysis for YAP mutations

The Catalog of Somatic Mutations in Cancer (COSMIC) database (https://cancer.sanger.ac.uk/cosmic), the largest and most comprehensive asset worldwide used to explore the influence of somatic mutations in human cancer, was executed to analyse the mutations of YAP. Pie charts were generated for overview of distribution and substitutions on the coding strand in breast cancer.

Methylation-specific polymerase chain reaction (MS-PCR)

Bisulfite conversion of isolated genomic DNA was done using EZ DNA Methylation-Gold Kit (Zymo Research, Orange, CA, USA) according to the instructions given by the manufacturer. Two different sets of unmethylated and methylated YAP primers were used to amplify the bisulfite-converted product (Table 2). MethPrimer tool was used to design the primers [22]. One CpG island of 546 bp was found in the YAP promoter region when searched by Methprimer (Fig. 1). Commercially available completely unmethylated and methylated human genomic DNA (Zymo Research, Orange, CA, USA) served respectively for unmethylation and methylation positive control. Nuclease-free water instead of bisulfite-converted DNA served as negative control. 25 μl reaction volume PCR amplification was performed containing 100 ng of bisulfite-converted DNA, 1.5 mM MgCl2, 200 μM of each deoxynucleotide triphosphates (dNTPs: dATP, dCTP, dGTP, and dTTP), 0.5 μM of each forward and reverse oligonucleotide primers, 1 x PCR buffer, and 1 unit of Hot Start Taq DNA Polymerase (Qiagen, Hilden, Germany). PCR reaction was performed under following conditions : initial denaturation at 95 °C for 10 min followed by 35 cycles with denaturation at 95 °C for 45 sec, annealing at 57.9 °C for 30 sec, and extension at 72 °C for 45 sec, followed by a final extension at 72 °C for 7 min. 2% agarose gel (Sigma-Aldrich, US) containing 0.5 μg/ml of ethidium bromide was run at 100mA/volt and the PCR products were visualized, analyzed and photographed under ultraviolet (UV) illumination using Gel Doc (Bio-Rad Laboratories, CA, USA). All the experiments were repeated as an internal quality control and no distortion in the result was observed.

Fig. 1.

Fig. 1

Graphical representation of CpG islands in the YAP promoter region taken from MethPrimer. Criteria used: Island size > 100, GC Percent > 50.0, Obs/Exp > 0.60

Real-time polymerase chain reaction

RNA was isolated from the breast tumor and adjacent normal breast tissue stored in the RNA later (Qiagen, Hilden, Germany) by TRIzol Reagent (Invitrogen, CA, USA) according to the instructions given by the manufacturer. Later, the complementary DNA (cDNA) was synthesized using verso cDNA synthesis kit (Thermo Scientific, USA) according to the manufacturer’s instruction and was stored at -20 °C. The quantitative polymerase chain reaction (qPCR) was carried out with LightCycler® 96 SYBR Green I Master (Roche Diagnostics India Pvt. Ltd.) using the following set of primers (Table 2). GAPDH mRNA was used as an internal control, amplified in the same PCR reactions using the following primers (Table 2). PCR amplification were accordingly done : initial denaturation at 95 °C for 1 min, followed by 35 cycles with denaturation at 94 °C for 20 sec, annealing at 64.1 °C for 15 sec, and extension at 72 °C for 20 sec, followed by a final extension at 72 °C for 7 min. Quantification were performed in duplicates. Delta delta Ct method was applied to determine the relative gene expression using qPCR. LightCycler 96 Software 1.5 was used to calculate the relative amount of mRNA as the calibrator normalized ratio which was measured using the formula: RQ = 2-∆∆Ct, ∆∆Ct = (Cttargeted gene – CtGAPDH) targeted sample - (Cttargeted gene – CtGAPDH) calibration sample. The Ct values for YAP and GAPDH mRNA are shown in Additional file 2: Table S2.

Immunohistochemistry

Formalin-fixed tissue blocks of breast cancer samples were made which were later sectioned and obtained on poly-L-lysine coated slides. Slides were subjected to deparaffinization through various grades of xylene and rehydrated with ethanol. 0.3 % H2O2 was used to quench the internal peroxidase activity and antigen retrieval was done by boiling citrate buffer (10 mM; pH 6.0). Serum solution was used as a blocking agent to prevent non-specific interaction, and then the slides were incubated with primary antibody. YAP expression was detected by anti-YAP Mouse monoclonal Antibody (Abcam, UK). Later on, incubation with biotinylated secondary antibody against mouse and streptavidin HRP was performed for 20-30 min. 3, 3’ – diaminobenzidine (DAB) was then added to visualize the antibody binding site followed by counterstaining with hematoxylin. Normal breast tissue served as positive control and sections omitted with primary antibody served as negative control. Staining was evaluated and interpreted by expert histopathologist at 400X magnification under light microscope and graded as: (1) 0% tumor staining – no expression (2) 1% - 10% tumor staining – mild expression (3) 10% - 50% tumor staining – moderate expression (4) >50% tumor staining – high expression.

Statistical analysis

All the statistical analysis was performed using Statistical Package of Social Science (SPSS, USA) version 17.0 for windows. The data here have been expressed as mean ± standard deviation (SD). All the comparisons between methylation status, and protein expression with the clinicopathological parameters were performed using Fisher’s exact test (two-sided). Wilcoxon signed-ranked test, a non-parametric test was applied to evaluate the significance of differences in mRNA expression levels of YAP/GAPDH mRNA. All the comparison between mRNA expression and clinicopathological parameters were performed with Kruskal-Wallis test. The p values < 0.05 were considered to be statistically significant. Each p value was statistically adjusted with Bonferroni correction.

Results

Downregulated YAP mRNA expression in breast cancer tissue

YAP mRNA expression was detected at the mRNA level in normal and breast cancer tissues. The expression was normalized against GAPDH expression. YAP mRNA expression was found to be downregulated in 67.15% cases (92/137), out of which 60.87% cases (56/92) belonged to advanced stages III and IV of breast cancer. The 92 cases that showed downregulation were found to be 8.65 ± 6.17 fold downregulated, and the expression at mRNA level of YAP in tumor tissue was 0.11 ± 5.60 and in normal tissue was 2.27 ± 1.65 (p = 0.0001). The mRNA expression when correlated with different clinicopathological parameters of all the patients showed significant association with clinical stage (p = 0.038) (Fig. 2 and Table 3). On further analyzing the YAP mRNA expression among different molecular subtype of breast cancer cases, the highest percent downregulation was found in Her-2 enriched (78.57%) followed by TNBC (76%), Luminal B (63.16%), and Luminal A (58.70%).

Fig. 2.

Fig. 2

Box-and-Whisker plots showing relative expression of YAP mRNA in breast cancer and adjacent normal breast tissues. The expression of YAP mRNA in breast cancer cases were significantly lower than normal cases (p = 0.0001). The Y-axis represents 2^-∆Ct values for normal and cancer cases. The thick horizontal line in the box indicates the median value (1.389E-02 for normal and 4.518E-03 for cancer), the top and the bottom of the box show the 75th and 25th percentile values and the vertical lines extending from the box represent the largest and smallest values. Mean for normal is 2.268E0 and cancer is 1.076E-1 while Standard deviation for normal is 1.653E1 and cancer is 5.597E-1

Table 3.

Correlation analysis of YAP1 mRNA expression levels with the clinical parameters in Indian breast cancer patients

Characteristic Total (N) YAP1 mRNA expression relative to GAPDH p value
Normal 137 2.27 ± 1.65 0.0001
Tumor 137 0.11 ± 5.60
Age (years)
≤50 78 (56.93) 0.149 ± 0.00 0.464
>50 59 (43.07) 0.053 ± 0.00
Age at menarche
≤12 26 (18.98) 0.033 ± 0.00 0.524
>12 111 (81.02) 0.125 ± 0.00
Menopausal status
Premenopausal 40 (29.20) 0.036 ± 0.00 0.462
Postmenopausal 97 (70.80) 0.137 ± 0.00
Age at menopause
≤45 33 (34.02) 0.297 ± 1.09 0.281
>45 64 (65.98) 0.055 ± 1.98
ER status
Positive 81 (59.12) 0.121 ± 0.00 0.373
Negative 56 (40.88) 0.088 ± 0.00
PR status
Positive 47 (34.31) 0.141 ± 0.00 0.741
Negative 90 (65.69) 0.090 ± 0.00
Her2 status
Positive 66 (48.18) 0.053 ± 0.00 0.506
Negative 71 (51.82) 0.159 ± 0.00
Molecular subtypes of breast cancer
Luminal A 46 (33.58) 0.149 ± 0.00 0.731
Luminal B 38 (27.74) 0.079 ± 0.00
Her2-enriched 28 (20.44) 0.018 ± 0.00
TNBC 25 (18.25) 0.178 ± 0.00
Tumor size
≤5 55 (40.15) 0.183 ± 0.00 0.169
>5 82 (59.85) 0.057 ± 0.00
Lymph node status
Positive 99 (72.26) 0.109 ± 0.00 0.203
Negative 38 (27.74) 0.103 ± 0.00
Clinical stage
I+II 45(32.85) 0.206 ± 0.00 0.038
III+IV 92(67.15) 0.06 ± 0.00
Histological grade
I+II 95 (69.34) 0.096 ± 0.00 0.869
III 42 (30.66) 0.135 ± 0.00

p value (Wilcoxon signed-ranked test and Kruskal-Wallis test), Bonferroni significance level p ≤ 0.004

YAP protein expression is frequently absent in breast cancer

The expression of YAP was analyzed at the protein level by IHC and was found to be absent in 78.83% (108/137) cases. 108 cases had no or very low expression of the protein whereas remaining 29 cases (21.17%) cases had moderate to high expression of the protein (Fig. 3 and Table 5) and the percentage of YAP protein downregulation (64.81%) was higher in advanced stages III and IV of breast cancer. The percentage of YAP protein downregulation in breast cancer subtypes were different to those of YAP mRNA downregulation with 92% cases downregulation in TNBC followed by Her2-enriched (85.71%), Luminal B (73.68%), and Luminal A (71.74%) (Table 4).

Fig. 3.

Fig. 3

Immunohistochemical staining of human breast tissue samples by anti-YAP antibody (magnification: 400x) showing (a) normal breast tissue exhibiting negative YAP staining, breast tumor tissue showing (b) absence of YAP expression, and (c) moderate YAP expression. S stromal tissue, G glandular tissue, T tumor tissue

Table 5.

Correlation analysis of YAP1 promoter methylation with protein expression in Indian breast cancer patients

YAP1 protein expression YAP Promoter
Methylated (% within Protein expression) Unmethylated (% within Protein expression) Total p value OR (95% CI)
Present 13 (44.83%) 16 (55.17%)
Absent 84 (77.78%) 24 (22.22%)
Total (%) 97 (70.80%) 40 (29.20%) 137 0.001 0.232 (0.098 - 0.549)
YAP Promoter YAP1 protein expression
Present Absent
Methylated (% within methylation status) 13 (13.4%) 84 (86.6%)
Unmethylated (% within unmethylation status) 16 (40.0%) 24 (60.0%)
Total (%) 29 (21.17%) 108 (78.13%) 137

p value ≤ 0.005 is considered significant

Table 4.

Correlation analysis of YAP1 protein expression levels with the clinical parameters in Indian breast cancer patients

Characteristic Total (N) YAP1 absent YAP1 present p value
Age (years)
≤50 78 (56.93) 64 (82.05) 14 (17.95) 0.3
>50 59 (43.07) 44 (74.58) 15 (25.42)
Age at menarche
≤12 26 (18.98) 23 (88.46) 3 (11.54) 0.258
>12 111 (81.02) 85 (76.58) 26 (23.42)
Menopausal status
Premenopausal 40 (29.20) 32 (80) 8 (20) 1
Postmenopausal 97 (70.80) 76 (78.35) 21 (21.65)
Age at menopause
≤45 33 (34.02) 28 (84.85) 5 (15.15) 0.309
>45 64 (65.98) 48 (75) 16 (25)
ER status
Positive 81 (59.12) 58 (71.60) 23 (28.4) 0.018
Negative 56 (40.88) 50 (89.29) 6 (10.71)
PR status
Positive 47 (34.31) 38 (80.85) 9 (19.15) 0.826
Negative 90 (65.69) 70 (77.78) 20 (22.22)
Her2 status
Positive 66 (48.18) 52 (78.79) 14 (21.21) 1
Negative 71 (51.82) 56 (78.87) 15 (21.13)
Molecular subtypes of breast cancer
Luminal A 46 (33.58) 33 (71.74) 13 (28.26) 0.146
Luminal B 38 (27.74) 28 (73.68) 10 (26.32)
Her2-enriched 28 (20.44) 24 (85.71) 4 (14.29)
TNBC 25 (18.25) 23 (92) 2 (8)
Tumor size
≤5 55 (40.15) 47 (85.45) 8 (14.55) 0.139
>5 82 (59.85) 61 (74.39) 21 (25.61)
Lymph node status
Positive 99 (72.26) 77 (77.78) 22 (22.22) 0.816
Negative 38 (27.74) 31 (81.58) 7 (18.42)
Clinical stage
I+II 45(32.85) 38 (84.44) 7 (15.56) 0.373
III+IV 92(67.15) 70 (76.09) 22 (23.91)
Histological grade
I+II 95 (69.34) 76 (80) 19 (20) 0.653
III 42 (30.66) 32 (76.19) 10 (23.81)

p value (Fisher’s Exact Test), Bonferroni significance level ≤ 0.005

Association between YAP promoter methylation and YAP protein expression in breast cancer

The methylation status of the YAP promoter was studied through methylation-specific polymerase chain reaction (MS-PCR). The results showed that YAP promoter methylation plays an important role in declining the expression of YAP protein. The absence of YAP protein coincided with 86.60% (84/97) methylated cases, whereas YAP protein was present in 13.40% (13/97) methylated cases. Only in 60% (24/40) cases where there was no methylation showed the absence of YAP protein. Further the degree of methylation was 77.78% (84/108) in cases which had downregulation of YAP protein as compared to 44.83% (13/29) cases which had moderate to high protein expression. Therefore, a very strong correlation was observed between YAP promoter methylation and YAP protein expression (p = 0.001) (Fig. 4 and Table 5).

Fig. 4.

Fig. 4

Methylation-specific PCR analysis of YAP gene in breast cancer patients: L 1kb DNA ladder, M methylated YAP promoter (PCR product size-187 bp), UM unmethylated YAP promoter (PCR product size-188 bp), PC positive control for methylated and unmethylated alleles (Completely methylated and unmethylated DNA controls, respectively), N normal breast sample, and T breast tumor sample

Association between YAP promoter methylation and clinicopathological parameters in breast cancer

The promoter methylation when correlated with different clinicopathological parameters of all the patients showed no significant association. In an aggressive stage III and IV of breast cancer around 68.48% (63/92) cases were found to be methylated (Table 6).

Table 6.

Correlation analysis of YAP1 promoter methylation with the clinical parameters in Indian breast cancer patients

Characteristics Cases (%) Unmethylated (%) Methylated (%) p value
Age (years)
≤50 78 (56.93) 21 (26.92) 57 (73.08) 0.571
>50 59 (43.07) 19 (32.20) 40 (67.80)
Age at menarche
≤12 26 (18.98) 8 (30.77) 18 (69.23) 0.815
>12 111 (81.02) 32 (28.83) 79 (71.17)
Menopausal status
Premenopausal 40 (29.20) 12 (30) 28 (70) 1
Postmenopausal 97 (70.80) 28 (28.87) 69 (71.13)
Age at menopause
≤45 33 (34.02) 12 (36.36) 21 (63.64) 0.249
>45 64 (65.98) 16 (25) 48 (75)
ER status
Positive 81 (59.12) 27 (33.33) 54 (66.67) 0.252
Negative 56 (40.88) 13 (23.21) 43 (76.79)
PR status
Positive 47 (34.31) 12 (25.53) 35 (74.47) 0.556
Negative 90 (65.69) 28 (31.11) 62 (68.89)
Her2 status
Positive 66 (48.18) 18 (27.27) 48 (72.73) 0.708
Negative 71 (51.82) 22 (30.99) 49 (69.01)
Molecular subtypes of breast cancer
Luminal A 46 (33.58) 16 (34.78) 30 (65.22) 0.584
Luminal B 38 (27.74) 12 (31.58) 26 (68.42)
Her2-enriched 28 (20.44) 6 (21.43) 22 (78.57)
TNBC 25 (18.25) 6 (24) 19 (76)
Tumor size
≤5 55 (40.15) 15 (27.27) 40 (72.73) 0.707
>5 82 (59.85) 25 (30.49) 57 (69.51)
Lymph node status
Positive 99 (72.26) 29 (29.29) 70 (70.71) 1
Negative 38 (27.74) 11 (28.95) 27 (71.05)
Clinical stage
I+II 45(32.85) 11 (24.44) 34 (75.56) 0.43
III+IV 92(67.15) 29 (31.52) 63 (68.48)
Histological grade
I+II 95 (69.34) 27 (28.42) 68 (71.58) 0.839
III 42 (30.66) 13 (30.95) 29 (69.05)

p value (Fisher’s Exact Test), Bonferroni significance level ≤ 0.005

Association between YAP protein expression and clinicopathological parameters in breast cancer

The protein expression when correlated with different clinicopathological parameters of all the patients showed significant association with ER status (p = 0.018). Of the 137 cases 92 cases belonged to advanced stage III and IV of breast cancer and 76.09% (70/92) cases had absence of YAP protein (Table 4). However, 84.13% (53/63) cases of stage III and IV had no YAP protein expression and had YAP promoter methylation (Table 7).

Table 7.

Correlation analysis of methylation and protein expression in samples having methylated YAP1 promoter or YAP1 expression loss with the clinical parameters in Indian breast cancer patients

Characteristic Total (N) Methylated YAP1 p value Total (N) YAP1 loss p value
YAP1 Absent YAP1 Present Unmethylated YAP1 Methylated YAP1
Age (years)
≤50 57 50 7 0.767 64 14 50 1
>50 40 34 6 44 10 34
Age at menarche
≤12 18 17 1 0.451 23 6 17 0.585
>12 79 67 12 85 18 67
Menopausal status
Premenopausal 28 23 5 0.512 32 9 23 0.447
Postmenopausal 69 61 8 76 15 61
Age at menopause
≤45 21 21 0 0.095 28 7 21 0.388
>45 48 40 8 48 8 40
ER status
Positive 54 45 9 0.375 58 13 45 1
Negative 43 39 4 50 11 39
PR status
Positive 35 30 5 1 38 8 30 1
Negative 62 54 8 70 16 54
Her2 status
Positive 48 42 6 1 52 10 42 0.497
Negative 49 42 7 56 14 42
Molecular subtypes of breast cancer
Luminal A 30 25 5 0.837 33 8 25 0.87
Luminal B 26 22 4 28 6 22
Her2-enriched 22 20 2 24 4 20
TNBC 19 17 2 23 6 17
Tumor size
≤5 40 36 4 0.549 47 11 36 0.819
>5 57 48 9 61 13 48
Lymph node status
Positive 70 61 9 0.751 77 16 61 0.613
Negative 27 23 4 31 8 23
Clinical stage
I+II 34 31 3 0.533 38 7 31 0.629
III+IV 63 53 10 70 17 53
Histological grade
I+II 68 59 9 1 76 17 59 1
III 29 25 4 32 7 25

p value (Fisher’s Exact Test), Bonferroni significance level ≤ 0.0025

Correlation between methylation and protein expression of YAP with various clinical characteristics of Indian breast cancer patients showed that more aggressive stage III and IV of breast cancer cases had YAP protein loss significantly correlating with the aberrant YAP promoter methylation (p = 0.016) compared to less aggressive stage I and II of breast cancer cases (p = 0.05). YAP loss in methylated samples was also prevalent in cases having aggressive breast phenotype characteristics with positive lymph node status (p < 0.002), larger size of tumor (p < 0.005), and PR negative status (p < 0.003) (Table 8).

Table 8.

Correlation analysis between methylation and protein expression of YAP1 in stratification by various clinical characteristics in Indian breast cancer patients

Characteristic Total (N) YAP1 methylation status YAP1 expression p value
Absent Present
Age (years)
≤50 78 (56.93) M 50 7 0.046
UM 14 7
>50 59 (43.07) M 34 6 0.017
UM 10 9
Age at menarche
≤12 26 (18.98) M 17 1 0.215
UM 6 2
>12 111 (81.02) M 67 12 0.002
UM 18 14
Menopausal status
Premenopausal 40 (29.20) M 23 5 0.677
UM 9 3
Postmenopausal 97 (70.80) M 61 8 <0.0007
UM 15 13
Age at menopause
≤45 33 (34.02) M 21 0 0.003
UM 7 5
>45 64 (65.98) M 40 8 0.016
UM 8 8
ER status
Positive 81 (59.12) M 45 9 <0.002
UM 13 14
Negative 56 (40.88) M 39 4 0.615
UM 11 2
PR status
Positive 47 (34.31) M 30 5 0.205
UM 8 4
Negative 90 (65.69) M 54 8 <0.003
UM 16 12
Her2 status
Positive 66 (48.18) M 42 6 0.014
UM 10 8
Negative 71 (51.82) M 42 7 0.057
UM 14 8
Molecular subtypes of breast cancer
Luminal A 46 (33.58) M 25 5 0.036
UM 8 8
Luminal B 38 (27.74) M 22 4 0.045
UM 6 6
Her2-enriched 28 (20.44) M 20 2 0.191
UM 4 2
TNBC 25 (18.25) M 17 2 1
UM 6 0
Tumor size
≤5 55 (40.15) M 36 4 0.193
UM 11 4
>5 82 (59.85) M 48 9 <0.005
UM 13 12
Lymph node status
Positive 99 (72.26) M 61 9 <0.002
UM 16 13
Negative 38 (27.74) M 23 4 0.39
UM 8 3
Clinical stage
I+II 45(32.85) M 31 3 0.05
UM 7 4
III+IV 92(67.15) M 53 10 0.016
UM 17 12
Histological grade
I+II 95 (69.34) M 59 9 0.02
UM 17 10
III 42 (30.66) M 25 4 0.05
UM 7 6

p value (Fisher’s Exact Test), Bonferroni significance level ≤ 0.0025

YAP mutation in human breast cancer

COSMIC database v72 provides over four million variants across various cancer types. COSMIC was used to generate the pie chart which had the information of mutations of substitution nonsense, missense, synonymous, insertion frame shift, and inframe deletion. 57.14% and 14.29% were respectively the substitution missense rate and substitution synonymous rate of mutant samples of breast cancer (Additional file 3: Figure S1A). YAP coding strand had 40.00% C > T and 60.0% G > A mutation in breast cancer.

YAP TCGA database in human breast cancer

Researchers are provided with huge genome and clinical data through web portals and FTP services in TCGA breast cancer database. TCGA database on YAP gene in breast cancer makes available 108 cases affected by 102 mutations across 22 projects. The distribution of the cases is shown in Additional file 3: Figure S1B. The data demonstrates 4 somatic mutations of YAP gene in breast cancer all with low to moderate impact factor.

YAP is not mutated at the major check point sites in the Hippo pathway

No mutation was observed in any of the codons coding for serine 61, 109, 127, 164, 397, and lysine 494.

Discussion

The data here demonstrated the downregulation of YAP mRNA expression by 67.15%. The majority of cases (60.87%) found to be downregulated belonged to advanced stages III and IV of breast cancer and showed a significant correlation (p = 0.038) with clinical stage of breast cancer. At the protein level, YAP was found to be downregulated in 78.83% cases of breast cancer and these cases had either no or very low expression of YAP protein. A possible explanation for difference in YAP mRNA and protein expression can be due to varied post-transcriptional or post-translational modifications or silencing, half lives of mRNA and protein, or due to presence of significant error and noise in mRNA and protein experiments [2325]. We also observed absence of YAP protein in normal breast tissues. It may be due to the pathological process which also affects histologically normal adjacent breast tissue apart from tumor tissue.

As consistent with YAP mRNA result the percentage of YAP protein downregulation (64.81%) was higher in advanced stages III and IV of breast cancer. The downregulation of YAP are consistent with previous studies suggesting it to have a tumor suppressive role in breast cancer [1012, 26]. As reported earlier, in response to DNA-damage YAP mediates its tumor suppressor role by binding to p73, a family member p53 and increases p73 ability to induce apoptosis by activating apoptotic pathway [27].

Molecular subtypes of breast cancer showed different degree of YAP protein downregulation highest being TNBC followed by Her2-enriched, Luminal B, and Luminal A. This data is also consistent with earlier study indicating YAP to express differentially according to molecular subtype of cancer [5, 28]. However, we got different percent of downregulation in various subtypes of breast cancer compared to previous study [28]. On correlating the YAP protein expression with various clinicopathological parameters of Indian breast cancer cases we found a significant association with ER status (p = 0.018). On further analysis we found YAP to be absent for 89.29% in ER negative compared to 71.60% in ER positive. These observations are consistent with the previous study that loss of YAP is associated with ER negativity and that YAP may be a transcriptional coactivator of ER [10, 29]. While no such association was found among YAP expression and PR status as reported earlier [10]. These may be due to differential expression among diverse population.

Gene expression, genetic stability, and genomic structure may be altered by aberrant DNA methylation that can lead to carcinogenesis and tumor progression [30]. Promoter hypermethylation of critical growth regulators like tumor suppressor genes and its subsequent transcription silencing plays a pivitol role in causing cancer [31]. A recent study demonstrated hypomethylation of YAP promoter promotes the expression of YAP in polycystic ovary syndrome [32]. However, methylation status of YAP promoter in breast cancer is not yet known. Our study determines a considerable role of YAP promoter methylation in declining the expression of YAP protein. We got 70.80% (97/137) methylated breast cancer cases out of which 84 cases had absence of YAP protein thereby showing significantly high correlation (p = 0.001). The remaining 13 methylated cases showed the expression of YAP protein. A possible explanation to these results can be due to incomplete promoter methylation and that for methylation to silence a particular gene it should attain certain level of methylation to cross the protective boundary and once achieved the loss of transcription is stable [33]. The presence of unmethylated bands along with methylated bands in MS-PCR in tumor samples could also be explained by the above phenomena. This band may be also due to contamination of normal cells in the tumor samples. Contrary, only 60% (24/40) cases which were unmethylated for YAP promoter showed the loss of YAP protein, suggesting methylation to contribute only partially to protein loss and other molecular mechanism like genetic mutation, genomic deletions, certain transcriptional and post-transcriptional silencing, and post-translational modifications may contribute to YAP protein loss. We found no significant association when YAP promoter methylation was correlated with various clinicopathological parameters of Indian breast cancer cases.

Further analysis showed that 84.13% cases of advanced breast cancer stages III and IV had YAP promoter methylation and subsequent protein loss. Correlating methylation and protein expression of YAP with various clinicopathological characteristics of Indian breast cancer patients showed a significant association with advanced stage III and IV of breast cancer (p = 0.016). Majority of cases with YAP loss in methylated samples showed significance with aggressive breast cancer characteristics like lymph node status, larger size of tumor, and PR negative status (p < 0.005).

We evaluated the functional effect of the COSMIC mutations considering the possibility of YAP mutation to be oncogenic. Using YAP as a model gene to cross-examine the findings of COSMIC and TCGA, we report that even genes with mutations of known oncogenic functions do not necessarily contribute to growth advantage or other hallmarks of driver gene aetiology.

Studies have shown that LATS1 phosphorylates YAP at multiple sites including serine 61, 109, 127, 164, and 397 thereby inhibiting its nuclear translocation [6, 34, 35]. It was also demonstrated that mutations of all the phosphorylation sites abolishes the phosphorylation of YAP by LATS1 [28, 29]. Monomethylation of YAP at lysine 494 demonstrates a methylation dependent checkpoint in the Hippo pathway through cytoplasmic retention. Mutation at this site does not retain YAP cytoplasmically [36]. Based on all these observations we tried to check the mutation of YAP gene in exon 1, 2, 8, and 9 which had codons coding for serine 61, 109, 127, 164, 397, and lysine 494. We did not observe any mutation in the codons coding these residues. These results suggest that mutation at these sites may not be involved in the development and progression of breast cancer. However, further studies in larger sample size and in different populations are required to confirm the role of mutations at these sites.

As reported in literature, the function of YAP on being a tumor suppressor or oncogene remains controversial. In many solid tumors YAP promotes tumor growth, followed by its progression and metastasis [37]. Hippo pathway is inactivated by any changes in the tissue microenvironment or stimulation of cell by intracellular or extracellular signals thereby hyperactivating YAP. The hyperactivated YAP enters nucleus and interacts with DNA-binding transcription factors like TEA domain/Transcription Enhancer Factor (TEAD) family, p63/p73, ErbB, Smad, and RUNX1/2 [38, 39]. TEAD, a key transcription factor in hippo pathway acting downstream from YAP is required for the gene expression, cell growth, epithelial to mesenchymal transition, anchorage-independent growth, and oncogenic transformation of YAP [11, 37, 39]. YAP binds to TEAD family of transcription factors and stimulates the downstream transcription of anti-apoptotic and proliferative genes; thereby promoting oncogenesis [39]. Although several studies have demonstrated YAP to be an oncogene our data and results from other studies [1012, 26, 38] supports its role to be tumor suppressor.

Conclusion

To conclude, the role of YAP gene in breast cancer is still controversial. The location of YAP 11q22 is frequently associated with loss of heterozygosity (LOH) [26]. Several studies have shown decreased expression of YAP protein in breast cancer using immunohistochemistry [10, 2628]. As revealed by LOH analysis, the loss of protein correlates with specific deletion of YAP gene locus [26]. Furthermore, YAP being coactivators of ER and PR receptors in breast cancer YAP negativity correlates with ER negativity [10]. The observations from all these studies and our results support YAP to be a tumor suppressor gene. Further large-scale study on different population is required to characterize the role of YAP in breast cancer. To the best of our knowledge we are the first to report aberrant promoter methylation of YAP and significant association with its downregulation in Indian breast cancer patients. We are also the first to report the absence of mutation at the major check point sites of YAP gene in Indian breast cancer cases.

Additional files

Additional file 1: (19.5KB, docx)

Quality and quantity checkups of extracted DNA. Concentration and purity of extracted genomic DNA are shown in Additional file 1: Table S1. The ratio of absorbance at 260 nm and 280 nm (A260/A280) was taken to assess the purity of the DNA. ~1.8 ratio is accepted pure for DNA. (DOCX 19 kb)

Additional file 2: (18.4KB, docx)

Ct values of YAP and GAPDH mRNA. The Ct values for YAP and GAPDH mRNA for breast cancer cases and adjacent normal breast tissues used as control are shown in Additional file 2: Table S2. YAP mRNA expression was detected at the mRNA level in breast tumor and adjacent normal breast tissue using Real-time PCR. The expression was normalized against GAPDH expression. (DOCX 18 kb)

Additional file 3: (4.2MB, tif)

YAP mutation in human breast cancer. TCGA and COSMIC database performed to analyse the mutations of YAP are shown in Additional file 3: Figure S1. The pie chart showing the information of mutations was generated using COSMIC databse. The data obtained using the cBioPortal for Cancer Genomics are shown in 108 cases affected by 102 mutations across 22 projects according to TCGA database. (TIF 4332 kb)

Acknowledgements

The authors thank Dr. Ashok Mukherjee for his assistance and guidance with IHC.

Funding

This work was supported by University Grant Commission (UGC), Delhi, India [F1-17.1/2015-16/MANF-2015-17-GUJ-65323/(SA-III/Website)]. The funding body had no role in the design of study, collection, analysis, and interpretation of data or preparation of manuscript.

Availability of data and materials

All the data generated or analyzed during this study are included in this published article.

Abbreviations

ER

Estrogen receptor

HER-2

Human epidermal growth factor receptor 2

IHC

Immunohistochemistry

PR

Progesterone receptor

TNBC

Triple-negative breast cancer

YAP

Yes-associated protein

Authors’ contributions

S A H: designed and guided the study, R S A S: performed the experiment and wrote the manuscript, F P: drafted and critically revised the manuscript and gave final approval of the version to be published, A U R: helped in statistical analysis and interpretation of data, M A K: helped with experiments and acquisition of data, N K S: co-supervisor, provided samples, and helped in analysis of clinical data, S V S D: co-supervisor, provided the samples, and helped in analysis of clinical data. All authors have read and approved the final manuscript.

Ethics approval and consent to participate

The study was approved by the Institutional Ethical Committee of All India Institute of Medical Sciences (AIIMS), New Delhi (Ref. No. IESC/T-455/26.08.2015, RT-26/27.01.2016) and the Institutional Human Ethical Committee of Jamia Millia Islamia, New Delhi. All the subjects participating in the study gave their written informed consent.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Footnotes

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4627-8) contains supplementary material, which is available to authorized users.

Contributor Information

Sumayya Abdul Sattar Real, Email: realsumayya@gmail.com.

Farah Parveen, Email: farahkhan8383@gmail.com.

Asad Ur Rehman, Email: b4uasad@gmail.com.

Mohammad Aasif Khan, Email: aasifkaleemi@gmail.com.

Sankaravamasam Venkata Suryanarayan Deo, Email: svsdeo@aiims.ac.in.

Nootan Kumar Shukla, Email: nshukla@aiims.ac.in.

Syed Akhtar Husain, Phone: 91-9818298707, Email: akhtarhusain2000@yahoo.com.

References

  • 1.Ferlay J, Soerjomataram I, Dikshit R, Eser S, Mathers C, Rebelo M, Parkin DM, Forman D, Bray F. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer. 2015;136(5):E359–E386. doi: 10.1002/ijc.29210. [DOI] [PubMed] [Google Scholar]
  • 2.Eroles P, Bosch A, Perez-Fidalgo JA, Lluch A. Molecular biology in breast cancer: intrinsic subtypes and signaling pathways. Cancer Treat Rev. 2012;38(6):698–707. doi: 10.1016/j.ctrv.2011.11.005. [DOI] [PubMed] [Google Scholar]
  • 3.Shi P, Feng J, Chen C. Hippo pathway in mammary gland development and breast cancer. Acta Biochim Biophys Sin (Shanghai). 2015;47(1):53–59. doi: 10.1093/abbs/gmu114. [DOI] [PubMed] [Google Scholar]
  • 4.Maugeri-Sacca M, Barba M, Pizzuti L, Vici P, Di Lauro L, Dattilo R, Vitale I, Bartucci M, Mottolese M, De Maria R. The Hippo transducers TAZ and YAP in breast cancer: oncogenic activities and clinical implications. Expert Rev Mol Med. 2015;17:e14. doi: 10.1017/erm.2015.12. [DOI] [PubMed] [Google Scholar]
  • 5.Kim SK, Jung WH, Koo JS. Yes-associated protein (YAP) is differentially expressed in tumor and stroma according to the molecular subtype of breast cancer. Int J Clin Exp Pathol. 2014;7(6):3224–3234. [PMC free article] [PubMed] [Google Scholar]
  • 6.Sudol M, Shields DC, Farooq A. Structures of YAP protein domains reveal promising targets for development of new cancer drugs. Semin Cell Dev Biol. 2012;23(7):827–833. doi: 10.1016/j.semcdb.2012.05.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Overholtzer M, Zhang J, Smolen GA, Muir B, Li W, Sgroi DC, Deng CX, Brugge JS, Haber DA. Transforming properties of YAP, a candidate oncogene on the chromosome 11q22 amplicon. Proc Natl Acad Sci USA. 2006;103(33):12405–12410. doi: 10.1073/pnas.0605579103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Basu S, Totty NF, Irwin MS, Sudol M, Downward J. Akt phosphorylates the Yes-associated protein, YAP, to induce interaction with 14-3-3 and attenuation of p73-mediated apoptosis. Mol Cell. 2003;11(1):11–23. doi: 10.1016/S1097-2765(02)00776-1. [DOI] [PubMed] [Google Scholar]
  • 9.Steinhardt AA, Gayyed MF, Klein AP, Dong J, Maitra A, Pan D, Montgomery EA, Anders RA. Expression of Yes-associated protein in common solid tumors. Hum Pathol. 2008;39(11):1582–1589. doi: 10.1016/j.humpath.2008.04.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tufail R, Jorda M, Zhao W, Reis I, Nawaz Z. Loss of Yes-associated protein (YAP) expression is associated with estrogen and progesterone receptors negativity in invasive breast carcinomas. Breast Cancer Res Treat. 2012;131(3):743–750. doi: 10.1007/s10549-011-1435-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lamar JM, Stern P, Liu H, Schindler JW, Jiang ZG, Hynes RO. The Hippo pathway target, YAP, promotes metastasis through its TEAD-interaction domain. Proc Natl Acad Sci USA. 2012;109(37):E2441–E2450. doi: 10.1073/pnas.1212021109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Wang H, Du YC, Zhou XJ, Liu H, Tang SC. The dual functions of YAP-1 to promote and inhibit cell growth in human malignancy. Cancer Metastasis Rev. 2014;33(1):173–181. doi: 10.1007/s10555-013-9463-3. [DOI] [PubMed] [Google Scholar]
  • 13.Hergovich A. Mammalian Hippo signalling: a kinase network regulated by protein-protein interactions. Biochem Soc Trans. 2012;40(1):124–128. doi: 10.1042/BST20110619. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Polyak K. Breast cancer: origins and evolution. J Clin Invest. 2007;117(11):3155–3163. doi: 10.1172/JCI33295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Baylin SB, Esteller M, Rountree MR, Bachman KE, Schuebel K, Herman JG. Aberrant patterns of DNA methylation, chromatin formation and gene expression in cancer. Hum Mol Genet. 2001;10(7):687–692. doi: 10.1093/hmg/10.7.687. [DOI] [PubMed] [Google Scholar]
  • 16.Sambrook JR, Russel DW. Molecular Cloning: A Laboratory Manual. 2001. DW 2001. [Google Scholar]
  • 17.Network CGA. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490:61–70. doi: 10.1038/nature11453. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Chin L, Andersen JN, Futreal PA. Cancer genomics: from discovery science to personalized medicine. Nat Med. 2011;17(3):297–303. doi: 10.1038/nm.2323. [DOI] [PubMed] [Google Scholar]
  • 19.Tomczak K, Czerwinska P, Wiznerowicz M. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. Contemp Oncol (Pozn). 2015;19(1A):A68–A77. doi: 10.5114/wo.2014.47136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Gao J, Aksoy BA, Dogrusoz U, Dresdner G, Gross B, Sumer SO, Sun Y, Jacobsen A, Sinha R, Larsson E et al: Integrative analysis of complex cancer genomics and clinical profiles using the cBioPortal. Sci Signal. 2013; 6(269):pl1. [DOI] [PMC free article] [PubMed]
  • 21.Cerami E, Gao J, Dogrusoz U, Gross BE, Sumer SO, Aksoy BA, Jacobsen A, Byrne CJ, Heuer ML, Larsson E, et al. The cBio cancer genomics portal: an open platform for exploring multidimensional cancer genomics data. Cancer Discov. 2012;2(5):401–404. doi: 10.1158/2159-8290.CD-12-0095. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Li LC, Dahiya R. MethPrimer: designing primers for methylation PCRs. Bioinformatics. 2002;18(11):1427–1431. doi: 10.1093/bioinformatics/18.11.1427. [DOI] [PubMed] [Google Scholar]
  • 23.Greenbaum D, Colangelo C, Williams K, Gerstein M. Comparing protein abundance and mRNA expression levels on a genomic scale. Genome Biol. 2003;4(9):117. doi: 10.1186/gb-2003-4-9-117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Baldi P, Long AD. A Bayesian framework for the analysis of microarray expression data: regularized t -test and statistical inferences of gene changes. Bioinformatics. 2001;17(6):509–519. doi: 10.1093/bioinformatics/17.6.509. [DOI] [PubMed] [Google Scholar]
  • 25.Szallasi Z. Genetic network analysis in light of massively parallel biological data acquisition. Pac Symp Biocomput. 1999:5–16. [DOI] [PubMed]
  • 26.Yuan M, Tomlinson V, Lara R, Holliday D, Chelala C, Harada T, Gangeswaran R, Manson-Bishop C, Smith P, Danovi SA, et al. Yes-associated protein (YAP) functions as a tumor suppressor in breast. Cell Death Differ. 2008;15(11):1752–1759. doi: 10.1038/cdd.2008.108. [DOI] [PubMed] [Google Scholar]
  • 27.Strano S, Munarriz E, Rossi M, Castagnoli L, Shaul Y, Sacchi A, Oren M, Sudol M, Cesareni G, Blandino G. Physical interaction with Yes-associated protein enhances p73 transcriptional activity. J Biol Chem. 2001;276(18):15164–15173. doi: 10.1074/jbc.M010484200. [DOI] [PubMed] [Google Scholar]
  • 28.Jaramillo-Rodriguez Y, Cerda-Flores RM, Ruiz-Ramos R, Lopez-Marquez FC, Calderon-Garciduenas AL. YAP expression in normal and neoplastic breast tissue: an immunohistochemical study. Arch Med Res. 2014;45(3):223–228. doi: 10.1016/j.arcmed.2014.01.010. [DOI] [PubMed] [Google Scholar]
  • 29.Dhananjayan SC, Ramamoorthy S, Khan OY, Ismail A, Sun J, Slingerland J, O'Malley BW, Nawaz Z. WW domain binding protein-2, an E6-associated protein interacting protein, acts as a coactivator of estrogen and progesterone receptors. Mol Endocrinol. 2006;20(10):2343–2354. doi: 10.1210/me.2005-0533. [DOI] [PubMed] [Google Scholar]
  • 30.Wu L, Shen Y, Peng X, Zhang S, Wang M, Xu G, Zheng X, Wang J, Lu C. Aberrant promoter methylation of cancer-related genes in human breast cancer. Oncol Lett. 2016;12(6):5145–5155. doi: 10.3892/ol.2016.5351. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Baylin SB. DNA methylation and gene silencing in cancer. Nat Clin Pract Oncol. 2005;2(Suppl 1):S4–11. doi: 10.1038/ncponc0354. [DOI] [PubMed] [Google Scholar]
  • 32.Jiang LL, Xie JK, Cui JQ, Wei D, Yin BL, Zhang YN, Chen YH, Han X, Wang Q, Zhang CL. Promoter methylation of yes-associated protein (YAP) gene in polycystic ovary syndrome. Medicine (Baltimore). 2017;96(2):e5768. doi: 10.1097/MD.0000000000005768. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Turker MS. Gene silencing in mammalian cells and the spread of DNA methylation. Oncogene. 2002;21(35):5388–5393. doi: 10.1038/sj.onc.1205599. [DOI] [PubMed] [Google Scholar]
  • 34.Hao Y, Chun A, Cheung K, Rashidi B, Yang X. Tumor suppressor LATS1 is a negative regulator of oncogene YAP. J Biol Chem. 2008;283(9):5496–5509. doi: 10.1074/jbc.M709037200. [DOI] [PubMed] [Google Scholar]
  • 35.Oka T, Mazack V, Sudol M. Mst2 and Lats kinases regulate apoptotic function of Yes kinase-associated protein (YAP) J Biol Chem. 2008;283(41):27534–27546. doi: 10.1074/jbc.M804380200. [DOI] [PubMed] [Google Scholar]
  • 36.Oudhoff MJ, Freeman SA, Couzens AL, Antignano F, Kuznetsova E, Min PH, Northrop JP, Lehnertz B, Barsyte-Lovejoy D, Vedadi M, Arrowsmith CH, Nishina H, Gold MR, Rossi FM, Gingras AC, Zaph C. Control of the hippo pathway by Set7-dependent methylation of Yap. Dev Cell. 2013;26(2):188–194. doi: 10.1016/j.devcel.2013.05.025. [DOI] [PubMed] [Google Scholar]
  • 37.Andrade D, Mehta M, Griffith J, Panneerselvam J, Srivastava A, Kim TD, Janknecht R, Herman T, Ramesh R, Munshi A. YAP1 inhibition radiosensitizes triple negative breast cancer cells by targeting the DNA damage response and cell survival pathways. Oncotarget. 2017;8(58):98495–98508. doi: 10.18632/oncotarget.21913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ou C, Sun Z, Li S, Li G, Li X, Ma J. Dual roles of yes-associated protein (YAP) in colorectal cancer. Oncotarget. 2017;8(43):75727–75741. doi: 10.18632/oncotarget.20155. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Zhao B, Ye X, Yu J, Li L, Li W, Li S, Lin JD, Wang CY, Chinnaiyan AM, Lai ZC, et al. TEAD mediates YAP-dependent gene induction and growth control. Genes Dev. 2008;22(14):1962–1971. doi: 10.1101/gad.1664408. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (19.5KB, docx)

Quality and quantity checkups of extracted DNA. Concentration and purity of extracted genomic DNA are shown in Additional file 1: Table S1. The ratio of absorbance at 260 nm and 280 nm (A260/A280) was taken to assess the purity of the DNA. ~1.8 ratio is accepted pure for DNA. (DOCX 19 kb)

Additional file 2: (18.4KB, docx)

Ct values of YAP and GAPDH mRNA. The Ct values for YAP and GAPDH mRNA for breast cancer cases and adjacent normal breast tissues used as control are shown in Additional file 2: Table S2. YAP mRNA expression was detected at the mRNA level in breast tumor and adjacent normal breast tissue using Real-time PCR. The expression was normalized against GAPDH expression. (DOCX 18 kb)

Additional file 3: (4.2MB, tif)

YAP mutation in human breast cancer. TCGA and COSMIC database performed to analyse the mutations of YAP are shown in Additional file 3: Figure S1. The pie chart showing the information of mutations was generated using COSMIC databse. The data obtained using the cBioPortal for Cancer Genomics are shown in 108 cases affected by 102 mutations across 22 projects according to TCGA database. (TIF 4332 kb)

Data Availability Statement

All the data generated or analyzed during this study are included in this published article.


Articles from BMC Cancer are provided here courtesy of BMC

RESOURCES