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Promoter hypermethylation of p73 and p53 genes in cervicalcancer patients among north Indian population
Abhimanyu Kumar Jha • Mohsen Nikbakht •
Veena Jain • Alka Sehgal • Neena Capalash •
Jagdeep Kaur
Received: 17 November 2011 / Accepted: 9 June 2012 / Published online: 24 June 2012
� Springer Science+Business Media B.V. 2012
Abstract Hypermethylation of CpG islands leads to
transcriptional silencing and it is the predominant mecha-
nism of tumor suppressor gene inactivation in many
tumors. Methylation-specific polymerase chain reaction
was performed to analyse the methylation status of the
promoter region of the tumor suppressor genes. Hyper-
methylation of the 50 CpG island of the p21CIP1, p27KIP1,
p57KIP2, p53, p73 and RB 1 gene promoter were found in
8.8, 8.8, 11.2, 12, 25.6 and 4.8 % of 125 cervical cancer
samples from north Indian population, respectively.
Methylation of p73 was significantly (P \ 0.001) associ-
ated with the cervical cancer cases in comparison to con-
trols. Significant correlation was also observed between the
methylation of p73 gene and increase in the risk of cervical
cancer among passive smokers. Promoter hypermethyla-
tion of p53 gene was also observed to be significant among
oral contraceptive users and cervical cancer patients having
age at first sexual intercourse \20 years whereas hyper-
methylation of other genes was not found to be significant
in the present study. This is the first report showing sig-
nificant hypermethylation of p73 and p53 genes among
cervical cancer patients in north Indian population. This is
also the first report on significant p53 hypermethylation in
cervical cancer in any population. Our findings did not
show any correlation between promoter methylation of p73
and the other genes under study with clinicopathological
parameters, including human papillomavirus infection and
stage of the disease. The frequency of aberrant methylation
of p73 and p53 gene promoter was unchanged according to
the age of patients.
Keywords Hypermethylation � MSP � CpG island �AFSI � HPV
Introduction
Cervical cancer is one of the most common cancers that
affect a woman’s reproductive organs [1]. In frequency, it
is the seventh cancer overall and third among women. In
developing countries, cervical cancer is often the most
common cancer in women and constitutes up to 25 % of all
cancers in female [2]. The risk factors of cervical cancer
include HPV infection and other cofactors like age,
smoking, oral contraceptives, low age at first sexual
intercourse (AFSI), multiple pregnancy, sexual history of
the woman’s male partner, deficient diet and the family
history of cervical cancer.
In quiescent cells, CIP/KIP cyclin dependent kinase
inhibitors (CDKIs) bind to and inhibit the activity of
CDK2, resulting in cell cycle arrest. In cycling cells,
CDKIs of the CIP/KIP family detach from CDK2/cyclin E
complex and bind to CDK4/6 instead, resulting in dere-
pression (and thus activation) of CDK2 and further acti-
vation of CDK4/6, resulting in commitment of the cell to
transit the G1–S cell cycle checkpoint [3]. The CIP family
includes p21CIP1, p27KIP1 and p57KIP2 genes. Increased
Neena Capalash and Jagdeep Kaur contributed equally for this study.
A. K. Jha � M. Nikbakht � N. Capalash � J. Kaur (&)
Department of Biotechnology, Panjab University,
Chandigarh 160014, India
e-mail: [email protected]
V. Jain
Department of Gynaecology, Mohan Dai Oswal Cancer
Treatment and Research Foundation, Ludhiana, India
A. Sehgal
Department of Gynaecology, Government Medical
College and Hospital, Chandigarh, India
123
Mol Biol Rep (2012) 39:9145–9157
DOI 10.1007/s11033-012-1787-5
expression of CDKIs has been recognized as a general
mechanism for cell cycle arrest, and CDKIs have also been
considered to be implicated in tumorigenesis as possible
tumor-suppressor genes [4, 5].
p21CIP1 gene is a downstream effector of p53. Expres-
sion of p21CIP1 is induced by wild-type p53 in the presence
of DNA damage, leading to apoptosis or cell cycle arrest at
the G1 checkpoint [6, 7]. The possible role of p21CIP1 in
oncogenesis has been considered on the basis of its tran-
scriptional control by p53 [7, 8]. It has been reported that
p21CIP1 plays an inhibitory role in the proliferation of acute
lymphoblastic leukemia (ALL) cells [9]. Down-regulation
of p21 transcription has been correlated with tumor pro-
gression [10, 11]. According to several reports, mutations
or deletions of p21CIP1 has not been detected [12–14].
p27KIP1, considered as a tumor suppressor gene, is
located at chromosome 12p13. It is a regulator of the
mammalian cell cycle [15]. Distinct altered patterns of
p27KIP1 protein expression are found in a variety of human
carcinomas, and p27KIP1 expression levels usually correlate
directly with disease-free survival. The mechanism by
which p27Kip1 expression is reduced or lost during
tumorigenesis remains unclear [15]. p57 gene locus is
subject to imprinting, with preferential expression of the
maternal allele that is associated with various cancers. This
establishes its important role in carcinogenesis [16].
Among the various tumor suppressor genes, p53 is more
commonly undergoing changes in most human neoplasia
than any other single gene reflecting its control of critical
cellular activities [17, 18]. It is expressed in almost all
tissues as a constitutive repressed protein. p53 is activated
by DNA damaging agents (genotoxic stress), constitutive
activation of growth signaling cascade (oncogenic stress)
and depletion of ribonucleotides or hypoxia. p53 mutations
are present in the coding region with predominance in
exons 4–9 (DNA binding domain––central core region) and
less often in exon 2 (transactivation domain) and exon 11
(C-terminal domain). The most common mutations occur
in the DNA binding domain at six ‘‘hotspots’’ (codons 175,
245, 248, 249, 273, 282) [19].
The p73 gene is located on chromosome 1p36, a region
frequently deleted in neuroblastoma, melanoma and breast
cancer [20]. It has been considered as a candidate for tumor
suppressor and encodes protein which is structurally sim-
ilar to p53 protein within DNA binding domain and olig-
omerization and transactivating domain. p73 could
promote the programmed cell death (apoptosis) in associ-
ation with cell cycle gene p21 [21]. The p73 gene is rarely
mutated in tumors [22].
Retinoblastoma (Rb) is a neoplasm that can be sporadic or
hereditary and arises from retinal cells. RB gene was the first
tumor suppressor to be identified and was initially discov-
ered in a malignant tumor of the retina known as
retinoblastoma [23, 24].The hyperphosphorylation of Rb1
can inactivate either through aberrant activation of cyclin D1
and cyclin dependent kinases or loss of function of cdk4/6
inhibitors such as p16INK4a causes Rb1 to be hyperphos-
phorylated and this leads to its inactivation [25].
Epigenetic changes are equally responsible as genetic
changes in the development and progression of cancer.
Tumor suppressor genes like p53 can be inactivated not only
through structural changes, like deletion, mutation etc. or by
HPV- E6 but also by lack of expression through promoter
hypermethylation [26]. Aberrant promoter hypermethyla-
tion of tumor suppressor genes has been shown to be
involved in human neoplasia [27]. Of the hypermethylation
events studied in association with carcinogenesis, promoter
CpG island hypermethylation has been frequently investi-
gated in many human cancers, including cervical cancer [25,
28]. CpG islands of a large number of genes, which are un-
methylated in normal tissue, are methylated to varying
extents in many human cancers, and these methylations are a
potential means of tumor suppressor gene inactivation [29].
Materials and method
Sample collection
Biopsy and blood samples were collected with informed
consent of patients diagnosed with cervical cancer after
obtaining the necessary ethical clearance from Mohan Dai
Oswal Cancer Treatment and Research Foundation, Lu-
dhiana, Punjab, India. Biopsy samples (125) were collected
from patients diagnosed with cervical cancer in sterile
water. The blood samples (100) from the healthy females
(control) were collected in tubes with anticoagulant (hep-
arin). The paired biopsy samples (10) as controls were
obtained from the females in which hysterectomy had been
carried out but the cervix was normal. The control samples
were age matched with the patients. The samples were
further used for the extraction of DNA.
Extraction of DNA
Cells obtained from tissue biopsies and blood samples were
lysed in digestion buffer (Tris–HCl 10 mM, pH 8.0, EDTA
10 mM, NaCl 150 mM, and SDS 2 %) containing pro-
teinase K (0.2 mg/ml). DNA was then purified using the
standard phenol–chloroform extraction and ethanol pre-
cipitation [30].
HPV infection and HPV 16 typing
HPV consensus primers, MY09 and MY11 (Table 1), were
used in the PCR assay to amplify an approximately 450-bp
9146 Mol Biol Rep (2012) 39:9145–9157
123
fragment from the L1 regions of HPV-16 and 18 [31].
Reaction mixture with no DNA served as a negative con-
trol and 100 ng of HPV-16 viral genomes cloned into
pBR322 was used as the positive control. HPV-16: pBR322
plasmid DNA was a gift from E. M. DeVilliers of Deuts-
ches Krebsforschungszentrum, Heidelberg, Germany.
For typing of HPV-16, the isolated DNA was mixed
with PCR buffer (50 mM KCl, 4 mM MgCl2, 10 mM
Tris–Cl, pH 8.3), HPV-16 E6 primers (Table 1),
200 lM dNTP, 100 mg/ml gelatin, and 2.5 units Taq
polymerase. The reaction mix was subjected to 40 cycles of
amplification, consisting of 1 min at 94 �C, 1 min at 45 �C,
and 1 min at 72 �C using a thermocycler (Bio-Rad). Primer
sets for HPV-16 typing were taken from the published
literature [32]. The size of the amplified product was
206 bp (Fig. 1).
Methylation-specific PCR (MSP)
DNA isolated from biopsy (125) and blood (100) samples
was modified with sodium bisulphite and MSP was carried
out [33] using specific primers for methylation and un-
methylation for the tumor suppressor genes (Table 2). The
amplified products were run on 2 % agarose gel.
Bisulfite sequencing
For sequencing, MS-PCR product was purified by gel
purification kit (Sigma–Aldrich, USA) according to man-
ufacturer manual. The sequencing was carried out by 3100
ABI sequencer and finally the sequence of DNA was col-
lected using the chromatogram.
Statistical analysis
The obtained data was stratified and classified for better
interpretation. The association between hypermethylation
of all gene promoters and with the risk of cervical cancer
was estimated by computing ORs (Odds Ratio) and 95 %
CI using Chi-square, Fisher’s exact test and multivariate
logistic regression analysis, which included several
potential confounding variables (e.g., age as continuous
variables to find out any difference between cases and
controls). The reported odds ratio could be interpreted as
age-adjusted estimates of the relative risk of developing
cervical cancer with methylation of studied genes. Analysis
of continuous data like age was done by one way ANOVA.
Statistical analysis was performed using SPSS, version
11.5 and Epical, version 3.2.c-Coefficient was calculated to
correlate the hypermethylation of tumor suppressor genes
with increase in stage of cervical cancer. P value \ 0.05
was considered as significant.
Results
HPV infection and HPV-16 typing
HPV infection has been shown to be the most important
risk factor for cervical cancer. MY09 and MY11 consensus
primers were used to detect HPV infection. For HPV 16
typing primers from the E6 region were used. The repre-
sentative gels for HPV infection and HPV 16 typing has
been shown in Fig. 1.
It was observed that 116 out of 125 (92.8 %) cervical
cancer patients were HPV positive. In the control group,
95 % samples were HPV negative. Typing was carried out
for HPV-16, which showed that out of the HPV infected
patients, 69.8 % were found to be containing HPV16
(Table 3).
Study of the methylation status of CIP/KIP family
Bisulfite treated DNA from the 125 cervical cancer patients
were analyzed for promoter hypermethylation. The stan-
dard MSP technique was employed to analyze the status of
promoter methylation (Fig. 2). Unmethylation and meth-
ylation specific primers used for MSP analysis were located
within the promoter associated CpG island near the major
transcription site.
Hypermethylation of p21CIP1 and p27KIP1 was observed in
8.8 % of cervical cancer patients whereas hypermethylation
of p57KIP2 was observed in 8 % of cervical cancer patients
(Fig. 3). Statistically significant correlation and risk of cer-
vical cancer was not observed in association with methylation
of these three genes (P value [ 0.05) (Table 4; Fig. 3).
Statistically significant correlation between hyperme-
thylation of the three genes of CIP/KIP family and increase in
the risk of cervical cancer with respect to HPV infection was
not observed (P value [ 0.05) (data not shown). Methyla-
tion of p21CIP1, p27KIP1 and p57KIP2 was not found to be
statistically significant in patients of both the age groups i.e.
Age B 45 years and Age [ 45 years (P value [0.05). The methylation of p21CIP1, p27KIP1 and p57KIP2
showed marginal but insignificant risk of developing
cervical cancer in passive smokers among patients
Table 1 Primer sequences for HPV infection and HPV 16 typing
Primers Sequence
MY09 50-CGTCCMARRGGAWACTGATC-30
MY11 50-GCMCAGGGWCATAAYAATGG-30
HPV16 typing E6 Forward: 50-AAGGCGTAACCGAAATCGG-30
Reverse: 50-CATATACCTCACGTCGCA-30
Where M = A ? C, R = A ? G, W = A ? T and Y = C ? T
Mol Biol Rep (2012) 39:9145–9157 9147
123
Table 2 Sequences and conditions of MS-PCR primers
S. no. Gene Primer pair and PCR programme Size (bp) References
1 p21-MSP Methylated Forward: 50-TTG GGC GCG GAT TCG TC-30
Reverse: 50-CTA AAC CGC CGA CCC GA-30100 [34]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 95 �C 45 s
Annealing 62 �C 45 s
Extension 72 �C 1 min
Final extension 72 �C 7 min
2 p21-MSP Unmethylated Forward: 50-CAT GTA CGT TGC TAT CCA GGC-30
Reverse: 50-CTC CTT AAT GTC ACG CAC GAT-30110 [34]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 95 �C 45 s
Annealing 63 �C 45 s
Extension 72 �C 1 min
Final extension 72 �C 7 min
3 p27-MSP Methylated Forward: 50-AAG AGG CGA GTT AGC GT-30
Reverse: 50-AAA ACG CCG CCG AAC GA-30195 [35]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 45 s
Annealing 65 �C 30 s
Extension 72 �C 30 s
Final extension 72 �C 10 min
4 p27-MSP Unmethylated Forward: 50-ATG GAA GAG GTG AGT TAG T-30
Reverse: 50-AAA ACC CCA ATT AAA AAC A-30212 [35]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 45 s
Annealing 66 �C 30 s
Extension 72 �C 30 s
Final extension 72 �C 10 min
5 p57-MSP Methylated Forward: 50-CGC GGT CGT TAA TTA GTC GC-30
Reverse: 50-ACA CAA CGC ACT TAA CCT ATA A-3095 [36]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 45 s
Annealing 64 �C 30 s
Extension 72 �C 30 s
Final extension 72 �C 10 min
6 p57-MSP Unmethylated Forward: 50-TTT GTT TTG TGG TTG TTA ATT AGT TGT-30
Reverse: 50-ACA CAA CGC ACT TAA CCT ATA A-3095 [36]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 30 s
Annealing 64 �C 30 s
Extension 72 �C 60 s
Final extension 72 �C 10 min
9148 Mol Biol Rep (2012) 39:9145–9157
123
Table 2 continued
S. no. Gene Primer pair and PCR programme Size (bp) References
7 p53-MSP Methylated Forward: 50-ATTTACGGTATTAGGTCGGC-30
Reverse: 50-ACACGCTCCCAACCCGAACG-30285 [37]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 30 s
Annealing 62 �C 1 min
Extension 72 �C 1 min
Final extension 72 �C 5 min
8 p53-MSP Unmethylated Forward: 50-TTTAAAATGTTAGTATTTATGGTATTAGGTTGGT-30
Reverse: 50-CATCATAAAAAACACACTCCCAACCCAAACA-30310 [37]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 30 s
Annealing 62 �C 1 min
Extension 72 �C 1 min
Final extension 72 �C 5 min
9 p73-MSP Methylated Forward: 50-GGA CGT AGC GAA ATC GGG GTT C-30
Reverse: 50-ACC CCG AAC ATC GAC GTC CG-3060 [38]
Initial denaturation 95 �C 12 min
35 cycles
Denaturation 94 �C 1 min
Annealing 68 �C 1 min
Extension 72 �C 1 min
Final extension 72 �C 10 min
10 p73-MSP Unmethylated Forward: 50-AGG GGA TGT AGT GAA ATT GGG GTT T-30
Reverse: 50-ATC ACA ACC CCA AAC ATC AAC ATC CA-3069 [38]
Initial denaturation 95 �C 12 min
35 cycles
Denaturation 94 �C 1 min
Annealing 59 �C 1 min
Extension 72 �C 1 min
Final extension 72 �C 10 min
11 RB1-MSP Methylated Forward: 50-GGGAGTTTCGCGGACGTGAC-30
Reverse: 50-ACGTCGAAACACGCCCCG-30172 [39]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 45 s
Annealing 60 �C 30 s
Extension 72 �C 45 s
Final extension 72 �C 10 min
12 RB1-MSP Unmethylated Forward: 50-GGGAGTTTTGTGGATGTGAT-30
Reverse: 50-ACATCAAAACACACCCCA-30172 [39]
Initial denaturation 95 �C 5 min
35 cycles
Denaturation 94 �C 45 s
Annealing 60 �C 30 s
Extension 72 �C 45 s
Final extension 72 �C 10 min
Mol Biol Rep (2012) 39:9145–9157 9149
123
(P value [ 0.05). Marginal and insignificant risk of cervical
cancer in association with hypermethylation of p21CIP1,
p27KIP1 and p57KIP2 with respect to OC users was observed
(P value [ 0.05). No significant association between meth-
ylation of p21CIP1, p27KIP1 and p57KIP2 and risk of cervical
cancer in association with the AFSI was observed (data not
shown).
Hypermethylation of p53, p73 and RB1
Methylation of p53 was found in 12 % of patients (Figs. 4
and 5). Significant risk of cervical cancer development was
observed in patients with hypermethylated p53 promoter
(P value \ 0.05; OR = 1.78, 95 % CI = 1.49–2.13).
Methylation of p73 was found in 25.6 % of patients and
4 % of controls (Figs. 4 and 5). Statistically significant
difference in methylation of p73 (P value \ 0.001)
between patients and controls was observed. Risk of cer-
vical cancer increased by 1.81 fold with hypermethylated
p73 promoter (OR = 1.81, 95 % CI = 1.50–2.17)
(Table 5). Statistically, significant difference in methyla-
tion of RB1 (P value [ 0.05) between patients and controls
was not observed. The methylation of RB1 did not increase
the risk of cervical cancer in patients (Table 5; Fig. 5).
Statistically significant correlation between hyperme-
thylation of p53, p73 and RB1 and increase in the risk of
cervical cancer with respect to HPV infection was not
Fig. 1 HPV infection and HPV 16 typing a HPV infection was
confirmed by the PCR product of 450 bp. Lanes 1–4 Amplified
product (450 bp) showing HPV infection in the samples. Lane 5positive control. Lane 6 negative control. Lane 7 100 bp ladder.
b HPV-16 typing was confirmed by the PCR product of 206 bp. Lane1 100 bp ladder. Lanes 2–4 Amplified product (206 bp) showing
HPV16 in the samples. Lane 5 HPV 16 negative sample. Lane 6 HPV
16 positive control. Lane 7 negative control
Table 3 HPV infection and HPV 16 typing in cervical cancer
patients and samples
Patients Control
HPV positive
(?) ve 116 (92.8) 5 (5)
(-) ve 9 (7.2) 95 (95)
HPV 16 Typing
HPV 16 (?) ve 81 (69.8) 3 (60)
HPV 16 (-) ve 35 (30.1) 2 (40)
Fig. 2 A representative agarose gel showing MS-PCR product of
a p21CIP1, b p27KIP1, c p57KIP2 (N = sample from normal patient;
MA Marker 100 bp; M Methylated primer; U Unmethylated primer;
NC Negative control)
Table 4 Frequency of methylation of CIP/KIP family genes with
relative risk of cervical cancer between patients and healthy controls
Patient Control OR (95 % CI) P value
n = 125 (%) n = 100 (%)
Methylation of
p21CIP1 11 (8.8) 2 (2) 1.57 (1.21–2.05) 0.059
p27KIP1 11 (8.8) 2 (2) 1.57 (1.21–2.05) 0.059
p57KIP2 10 (8) 3 (3) 1.42 (1.03–1.96) 0.19
9150 Mol Biol Rep (2012) 39:9145–9157
123
observed (P value [ 0.05) (data not shown). Hypermethy-
lation of p53 and p73 was found to be significant in patients
with age group B 45 years (P value \ 0.05) as well as age
group [ 45 years (P value \ 0.05). The risk of cervical
cancer was increased around 1.87 fold with respect to p73
hypermethylation in association with age group [ 45 years
(OR = 1.87, 95 % CI = 1.48–2.36). Significant risk of
cervical cancer development was also detected in asso-
ciation with age group B 45 years (OR = 1.74, 95 %
CI = 1.30–2.32) (Table 6). Statistically significant relation
was not detected among these two groups (P value [ 0.05)
with respect to hypermethylation of RB1.
The marginal but insignificant risk of cervical cancer
was observed with respect to p53 and RB1methylation in
case of passive smokers (P value [ 0.05) (Table 7). p 73
hypermethylation was found to be statistically significant
in case of passive smokers (P value \ 0.05). Statistically
significant risk of cervical cancer was observed in case of
passive smokers (OR = 1.75, 95 % CI = 1.27–2.41) as
compared to non-smokers (Tables 7 and 8).
Significant risk of cervical cancer was observed with
respect to the methylation of p53 gene in OC users
(P value \ 0.05; OR = 1.80, 95 % CI = 1.50–2.15) as
compared to those not using OC (Tables 9 and 10). But,
statistically significant correlation with risk of cervical
Fig. 3 The percentage of methylation of CIP/KIP family of genes in
patients and controls
Fig. 4 A representative agarose gel showing MS-PCR product of
a p53, b p73, c RB1 (N = sample from normal patient; MA Marker
100 bp; M Methylated primer; U Unmethylated primer; NC Negative
control)
Table 5 Frequency of methylation of p53, p73 and RB1 genes with
relative risk of cervical cancer between patients and healthy controls
Patient Control OR (95 % CI) P value
n = 125 (%) n = 100 (%)
Methylation of
p53 15 (12) 1 (1) 1.78 (1.49–2.13) 0.003
p73 32 (25.6) 4 (4) 1.81 (1.50–2.17) 0.000
RB1 6 (4.8) 3 (3) 1.21 (0.75–1.95) 0.73
Fig. 5 The percentage of methylation of p53, p73 and RB1 genes in
patients and controls
Table 6 Frequency of methylation of p53, p73 and RB1 genes and estimated relative risk with age
Age B 45 years OR (95 % CI) P Age [ 45 years OR (95 % CI) P
Patient
n = 63 (%)
Control
n = 55 (%)
Patient
n = 62 (%)
Control
n = 45 (%)
Methylation of
p53 8 (12.6) 1 (1.8) 1.76 (1.31–2.37) 0.03 7 (11.2) 0 (0) 1.82 (1.52–2.17) 0.02
p73 15 (23.8) 3 (5.4) 1.74 (1.30–2.32) 0.012 17 (27.4) 1 (2.2) 1.87 (1.48–2.36) 0.001
RB1 3 (4.7) 2 (3.6) 1.04 (0.50–2.16) 1.0 3 (4.8) 1 (1.8) 1.41 (0.78–2.55) 0.62
Mol Biol Rep (2012) 39:9145–9157 9151
123
cancer in association with p73 hypermethylation was not
observed in case of OC users (P value [ 0.05) (Tables 9 and
10). Statistically significant correlation between methylation
of RB1 and risk of cervical cancer was not found in case of
OC users (P value [ 0.05) (Tables 9 and 10).
Statistically significant relation with respect to p53
methylation was detected among patients in the group
AFSI B 20 years (P value \ 0.05). Significant risk of
cervical cancer was detected with respect to the methyla-
tion of p53 gene in patients with AFSI B 20 years
(P value \ 0.05; OR = 1.71, 95 % CI = 1.41–2.08).
Marginal but insignificant risk of cervical cancer devel-
opment was detected in patients with AFSI [ 20 years
(P value [ 0.05) (Table 11). Statistically significant rela-
tion was detected with respect to p73 hypermethylation
among patients with AFSI [ 20 years as well as
AFSI B 20 years (p value \ 0.05). Significant risk of
cervical cancer was observed with the methylation of p73
gene in patients with AFSI B 20 years (OR = 1.76, 95 %
CI = 1.36–2.26) as well as AFSI [ 20 years (OR = 1.78,
95 % CI = 1.35–2.35) (Table 11). Statistically significant
relation was not detected among these two groups in
association with hypermethylation of RB1 gene
(P value [ 0.05).
Bisulfite sequencing
The bisulfite sequencing of 2 samples which were hyper-
methylated in their promoter region of the tumor suppres-
sor genes as compared with wild type (unmethylated
promoter region) revealed conversion of unmethylated
cytosine but not methylated cytosine which could down
regulate the expression of the genes (Fig. 6).
Discussion
Cervical cancer is the third most common cancer in
women, and the seventh overall, with an estimated
5,29,000 new cases in 2008 [1]. It may constitute up to
25 % of all female cancers in developing countries [2].
HPV infection is a cause of almost all the cases of cervical
cancer and this was reflected in the present study also.
The initiation and progression of cancer, is now realized
to involve epigenetic abnormalities along with genetic
alterations. Epigenetics refers to the change in gene
expression without the change in the sequence of the gene
[40]. The epigenetic changes include DNA hypermethyla-
tion, global hypomethylation and histone modifications
[41]. Much of the contemporary research is focused on the
study of epigenetic changes, like promoter hypermethyla-
tion resulting in many types of neoplasia [42]. The present
study was carried out to investigate whether epigenetic
changes like promoter hypermethylation of tumor sup-
pressor genes like p21, p27, p57, p53, p73 and RB 1 with
the different risk factors of cervical cancer, like HPV
infection, age, passive smoking, oral contraceptive use and
AFSI.
Table 7 Frequency of methylation of p53, p73 and RB1 genes with
respect to passive smoking in cervical cancer patients and healthy
controls
Passive smoking OR (95 % CI) P
Patient Control
n = 26 (%) n = 12 (%)
Methylation of
p53 4 (15.3) 0 (0) 1.55 (1.21–1.98) 0.28
p73 10 (38.4) 0 (0) 1.75 (1.27–2.41) 0.01
RB1 2 (7.6) 0 (0) 1.50 (1.19–1.89) 1.0
Table 8 Frequency of methylation of p73 gene(as this was the only
gene found to be significantly hypermethylated with respect to pas-
sive smoking) among non smokers in cervical cancer patients and
healthy controls
Non smokers OR (95 % CI) P
Patient Control
n = 99 (%) n = 88 (%)
Methylation of
p73 22 (22.2) 4 (4.5) 1.60 (1.29–1.98) 0.04
Table 9 Frequency of methylation of p53, p73 and RB1 genes with
respect to the use of oral contraceptives in cervical cancer patients
and healthy controls
OC users OR (95 % CI) P
Patient Control
n = 62 (%) n = 43 (%)
Methylation of
p53 8 (12.9) 0 (0) 1.80 (1.50–2.15) 0.01
p73 9 (14.5) 3 (6.9) 1.45 (0.98–2.13) 0.23
RB1 4 (6.4) 2 (4.6) 1.14 (0.63–2.05) 1.0
Table 10 Frequency of methylation of the p53 gene (as this was the
only gene found to be significantly hypermethylated with respect to
the use of oral contraceptives) among OC non users in cervical cancer
patients and healthy controls
OC nonusers OR (95 % CI) P
Patient Control
n = 63 (%) n = 57 (%)
Methylation of
p53 7 (11.1) 1 (1.7) 1.67 (1.22–2.28) 0.07
9152 Mol Biol Rep (2012) 39:9145–9157
123
Investigations of hematological malignancies and solid
tumors for p21CIP1 promoter hypermethylation, an important
mechanism of epigenetic silencing, have shown variable
results [14, 43, 44]. Loss of expression of p21 has been shown
to be associated with disease progression in patients with
solid tumors, like mantle-cell lymphoma [10, 11]. Hyper-
methylation of p21CIP1 was not found to be significant in
cervical cancer in the population under the study. Significant
correlation pattern of aberrant methylation of p21CIP1 pro-
moter in either of the age groups was not observed
(age B 45 years and age [ 45 years). In addition to this,
hypermethylation of p21 was not found to be significant in
association with passive smoking, oral contraceptives and
AFSI. The results in the present study indicated that p21CIP1
was not observed to be significantly methylated in the
present population and hence, it could not be used as a
diagnostic biomarker at any stage in this disease.
Down-regulation of transcription of p27KIP1 mRNA as
well as protein expression of p27KIP1 protein in hepato-
cellular carcinoma (HCC) has been reported [45–47].
Several reports have shown its inactivation or inhibition to
be involved in tumor development [48, 49]. Low frequency
of hypermethylation of p27KIP1 has been reported in oral
squamous cell carcinoma (4.1 %) and malignant astrocy-
tomas (6 %) [50, 51]. p27 hypermethylation was observed
in 9 % of metastatic malignant melanoma, suggesting that
p27 methylation might be a cause of monoallelic p27
silencing in a small fraction of malignant melanomas [15].
DNA methylation was correlated inversely with the
expression of p27 gene products in pituitary tumor cell
lines, so increased DNA methylation is an important
mechanism for the silencing of p27 gene in the pituitary
tumors [50]. p27 hypermethylation was detected in 11 % of
primary central nervous system lymphomas, and 22 %
were negative for p27 expression [51]. High frequency of
p27 methylation (90 %) was observed in dental follicles,
however, some odontogenic keratocystic (OKC) lesions
(10 %) and normal mucosa samples (33 %) were also
methylated [52]. Due to the role of p27KIP1 in maintaining
cellular quiescence, loss of its expression can be an indi-
cator of the aggressiveness of cancer. p27KIP1 promoter
hypermethylation has been reported in some subtypes of
hematological malignancies, with lymphoma cases repor-
ted to be positive for p27KIP1 methylation in association
with absence of p27KIP1 protein [53, 54]. To the best of our
knowledge no report is available that could directly relate
hypermethylation of p27KIP1 to cervical cancer.
No significant risk of cervical cancer was observed in
association with hypermethylation of p27KIP1 in the present
study. No significant correlation of aberrant methylation of
p27KIP1 promoter was observed with age, HPV infection,
passive smoking, use of oral contraceptives and AFSI. This
result demonstrates that p27KIP1 is an insignificant tumor
suppressor gene in pathogenesis of cervical cancer in north
Indian population. Therefore, the methylation status of the
p27KIP1 gene could not be a diagnostic biomarker at any
stage in this disease.
p57 is an additional biological marker for predicting
increased overall survival in patients with diffuse large B
cell lymphoma (DLBCL) [55]. Hypermethylation mediated
down-regulation of p57KIP2 was reported in different types
of neoplasia like CLL, AML and ALL. In low-grade
MALT lymphomas, p57KIP2 was methylated in 29.2 % of
the cases. In diffuse large B cell lymphomas, methylation
of p57KIP2 was found in 36.4 % of the cases [55]. But, no
report implicates p57 hypermethylation in cervical cancer.
In the present population of study also, p57 hypermethy-
lation was not found to be significant. Hypermethylation
pattern of p57KIP2 in cervical cancer with respect to HPV
infection was not significant (P value [ 0.05). No signifi-
cant correlation of aberrant methylation of p57KIP2 pro-
moter with the increase in the risk of cervical cancer was
observed with age and AFSI. In addition to that, hyper-
methylation of p57KIP2 was not observed to be significantly
increasing the risk of cervical cancer among passive
smokers and OC users. The down-regulation of mRNA
expression of p57KIP2 by its aberrant promoter methylation
is not a common inactivating event in cervical cancer. This
result suggests that p57KIP2 is not a commonly hyperme-
thylated tumor suppressor gene in cervical cancer in north
Indian population. p57KIP2 gene could not be used as a
diagnostic biomarker at any stage in this disease.
Table 11 Frequency of methylation of p53, p73 and RB1 genes with respect to AFSI in cervical cancer patients in comparison to healthy
controls
AFSI B 20 years OR (95 % CI) P AFSI [ 20 years OR (95 % CI) P
Patient Control Patient Control
n = 51 (%) n = 30 (%) n = 74 (%) n = 70 (%)
Methylation of
p53 9 (17.6) 0 (0) 1.71 (1.41–2.08) 0.02 6 (8.1) 1 (1.4) 1.73 (1.22–2.44) 0.11
p73 17 (33.3) 1 (3.3) 1.76 (1.36–2.26) 0.004 15 (20.2) 3 (4.2) 1.78 (1.35–2.35) 0.008
RB1 4 (7.8) 2 (6.6) 1.06 (0.59–1.92) 1.00 2 (2.7) 1 (1.4) 1.31 (0.58–2.95) 1.00
Mol Biol Rep (2012) 39:9145–9157 9153
123
Fig. 6 Bisulfite sequencing of
a p21CIP1, b p27KIP1, c p57KIP2,
d p73, e RB1
9154 Mol Biol Rep (2012) 39:9145–9157
123
The hypermethylation status of the promoter region of
p53 gene was detected in 3 of 26 cases in a study on breast
carcinoma. Methylation in the p53 promoter region is
found in the breast cancer irrespective of the status of
invasion, and that the hypermethylation in the p53 pro-
moter region is an alternative pathway to tumorigenesis
where there is no p53 gene mutation [56]. Mutations in p53
gene are generally associated with majority of cancers and
p53 promoter methylation has been observed in oral
squamous cell carcinoma (OSCC) [37]. Since, cervical
cancer is mainly squamous cell carcinoma, it is important
to study the methylation status of this gene with respect to
cervical cancer. It was observed that the effect of p53
hypermethylation was found to be significant in cervical
cancer in north Indian population (P value \ 0.05). How-
ever, statistically significant correlation between hyper-
methylation of p53 and increase in the risk of cervical
cancer with respect to HPV infection was not observed.
Age was not found to be a factor for increase in risk of
cervical cancer with respect to hypermethylation of p53
gene in the present population of study. In addition to that
hypermethylation of p53 promoter was not found to be
significantly increasing the risk of cervical cancer among
passive smokers but significant increase in risk of cervical
cancer was observed in OC users (P value \ 0.05).
AFSI B 20 years was found to have significant impact on
methylation pattern of p53 in the present population of
study (P value \ 0.05). The present result is the first report
with respect to methylation of p53 in cervical cancer
patients. To the best of our knowledge, this is the first
report which demonstrates the correlation between AFSI
and OC use with respect to p53 promoter methylation in
cervical cancer patients in any population.
Hypermethylation of p53 was found to be at low fre-
quency in the present population of study but since it was
also observed to have significant correlation with some of
the risk factors this study needs to be extended to a larger
population size to ascertain whether p53 can be used as a
significant or reliable marker in cervical cancer in the north
Indian population.
A relatively high incidence of p73 methylation has been
observed among B cell lymphomas, mainly in leukemias
and lymphomas [57, 58]. In hematological malignancies
like ALL and Burkitt’s lymphomas, p73 was observed to
be hypermethylated. The p73 gene encodes a protein
structurally and functionally homologous to p53, and maps
to chromosomal band 1p36.33, where loss of heterozy-
gosity has been observed in up to 90 % of oligodendro-
gliomas and in 10–25 % of diffuse astrocytomas [59]. A
recent study found high incidence of p73 hypermethylation
(38.8 %) in cervical cancer and proposed that epigenetic
modification of p73 via CpG-island hypermethylation
represents a critical alternative mechanism for inactivation
of this gene in cervical cancer [60]. In the present study, an
attempt was made to study the involvement of p73 in
development and progression of cervical cancer in north
Indian population. Significant trend towards increasing risk
of cervical cancer was observed with respect to methyla-
tion of p73 gene in patient samples in comparison to
healthy controls (P value \ 0.001).
Significant trend towards increasing risk of cervical can-
cer was not observed with methylation of p73 gene in asso-
ciation with HPV infection in patient samples in comparison
to healthy control. Significant correlation pattern of aberrant
methylation of p73 promoter was observed in both the age
groups (age B 45 years and age [ 45 years).In addition to
that, hypermethylation of p73 was found to be significantly
increasing the risk of cervical cancer among passive smok-
ers. However no risk was observed in case of OC users. AFSI
was not found to have significant impact on methylation
pattern of p73 in the present population of study as the risk of
cervical cancer was increased significantly in association
with both the groups. In the present population of study,
69.1 % down-regulation of p73 transcription was observed.
In the quantitative study of transcription with real time PCR,
4.5 fold down-regulation of p73 was observed (data not
shown). The analysis of result of semi quantitative and
quantitative RT-PCR showed the significant effect of hy-
permethylated promoter in down-regulation of p73.It was
observed that the down-regulation of expression of p73 by its
aberrant promoter methylation is an important event in cer-
vical cancer patients. The result of the present study support
the existing reports that p73 methylation is significant in
pathogenesis of cervical cancer [60]. Therefore, because of
significant frequency in the present population of study and
also significant correlation with risk factors in this study, it
may be used as a significant and reliable biomarker for
diagnosis of cervical cancer.
The hypermethylation of RB1 is an independent mech-
anism which selectively target RB1 for inactivation, it
further demonstrated the critical role of Rb1 in governing
various aspects of cell cycle. Methylation of RB1 can be
considered as one of prognosis indicator for progression
and development of bladder cancer [61]. According to a
report, out of a panel of 16 genes selected for a study in
cervical cancer, RB1 did not show promoter methylation
[62]. An attempt was made to study the involvement of
RB1 in development and progression of cervical cancer in
north Indian population.No significant effect of RB1 hy-
permethylation was observed in north Indian population.
Our results support the existing report that RB1 methyla-
tion is insignificant in pathogenesis of cervical cancer [61].
Therefore, because of very low frequency in population of
study and also insignificant correlation with risk factors in
this research, it could not be used as a significant and
reliable biomarker for diagnosis of cervical cancer.
Mol Biol Rep (2012) 39:9145–9157 9155
123
No regular pattern of increase or decrease in methylation
was observed in case of p21CIP1, p27KIP1 and p57KIP2 with
the stage of cervical cancer. Similar pattern was found in
case of p53 and RB1. In case of p73 gene, however,
increase in methylation was observed with increase in the
stage. An increasing trend for methylation of p73 was
observed with increasing pathological change in the pres-
ent study which further supports their candidature to be
used as biomarkers. c-coefficient was also found to be
significant for p73 (P value \ 0.05) (data not shown).
The outcome of the present study indicates that hyper-
methylation pattern of p73 gene is a common phenomenon
in cervical cancer. A significant association was observed
between hypermethylation of p73 gene and increase in the
risk of cervical cancer among passive smokers. Although
p53 methylation has not been reported so far in cervical
cancer, it was observed in the present population under
study, although at a low frequency. Promoter hyperme-
thylation of p53 was also observed to be significantly
associated with oral contraceptive users and cervical cancer
patients with AFSI \ 20 years. This is the first report
showing significant hypermethylation of p73 and p53 genes
among cervical cancer patients in north Indian population.
The present findings need to be extended to a larger series.
Acknowledgments The authors acknowledge the financial assis-
tance provided by CSIR (Council of Scientific and Industrial
Research), India to AKJ.
Conflict of interest The authors report no conflict of interest.
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