Sunanda Baidya1, Rasel Das2, Md Golam Kabir1, Md Arifuzzaman3. 1. Department of Biochemistry & Molecular Biology, University of Chittagong, Chittagong 4331, Bangladesh. 2. Leibniz Institute for Surface Modification, Permoserstraße 15, 04318 Leipzig, Germany. 3. Department of Biochemistry and Biotechnology, University of Science and Technology Chittagong (USTC), Foy's Lake, Chittagong 4202, Bangladesh.
Abstract
Cervical cancer accounts for about two-thirds of all cancer cases linked etiologically to Human Papilloma Virus (HPV). 15 oncogenic HPV types can cause cervical cancer, of which HPV16 and HPV18 combinedly account for about 70% of it. So, effective epitope design for the clinically relevant HPV types 16 and 18 would be of major medical benefit. Here, a comprehensive analysis is carried out to predict the epitopes against HPV types 16 and 18 through "reverse vaccinology" approach. We attempted to identify the evolutionarily conserved regions of major capsid protein (L1) as well as minor capsid protein (L2) of HPV and designed epitopes within these regions. In this study, we analyzed about 49 and 27 sequences of HPV L2 and L1 proteins respectively. Since we found that the intertype variability of L2 is higher than for L1 proteins, our analysis was emphasized on epitopes of L1 of HPV types 16 and 18. We had selected HLA-A*0201, DRB1*1501, DQB1*0602, DRB1*0401 and DQB1*0301 alleles for the prediction of T cell epitopes of L1 of HPV 16 and 18. Finally, we reported that predicted epitope sequences EEYDLQFIFQLCKITLTA, and RHGEEYDLQFIFQLCKITLTA of L1 protein of HPV 16, and LPDPNKF, PETQRLVWAC, PVPGQYDA, YNPETQRLVWAC, DTGYGAMD, PVPGQYDATK, KQDIPKVSAYQYRVFRV, RDNVSVDYKQTQLCI and YSRHVEEYDLQFIF of L1 protein of HPV 18 could be therapeutic tools for vaccine design against HPV.
Cervical cancer accounts for about two-thirds of all cancer cases linked etiologically to Human Papilloma Virus (HPV). 15 oncogenic HPV types can cause cervical cancer, of which HPV16 and HPV18 combinedly account for about 70% of it. So, effective epitope design for the clinically relevant HPV types 16 and 18 would be of major medical benefit. Here, a comprehensive analysis is carried out to predict the epitopes against HPV types 16 and 18 through "reverse vaccinology" approach. We attempted to identify the evolutionarily conserved regions of major capsid protein (L1) as well as minor capsid protein (L2) of HPV and designed epitopes within these regions. In this study, we analyzed about 49 and 27 sequences of HPV L2 and L1 proteins respectively. Since we found that the intertype variability of L2 is higher than for L1 proteins, our analysis was emphasized on epitopes of L1 of HPV types 16 and 18. We had selected HLA-A*0201, DRB1*1501, DQB1*0602, DRB1*0401 and DQB1*0301 alleles for the prediction of T cell epitopes of L1 of HPV 16 and 18. Finally, we reported that predicted epitope sequences EEYDLQFIFQLCKITLTA, and RHGEEYDLQFIFQLCKITLTA of L1 protein of HPV 16, and LPDPNKF, PETQRLVWAC, PVPGQYDA, YNPETQRLVWAC, DTGYGAMD, PVPGQYDATK, KQDIPKVSAYQYRVFRV, RDNVSVDYKQTQLCI and YSRHVEEYDLQFIF of L1 protein of HPV 18 could be therapeutic tools for vaccine design against HPV.
Entities:
Keywords:
Human Papilloma Virus; capsid proteins; cervical cancer
Human papillomaviruses (HPVs) are small in shape, nonenveloped,
double stranded DNA viruses whose eight proteins
are encoded by approximately 8 kb circular genome [1,2]. The
HPV genome can be classified into three regions; the long control
region (LCR), the early open reading frame (EORF) and the late
reading frame (LORF) [3]. The viral ORFs are comprised of three
regulatory genes involved in transcription and replication (E1,
E2, and E4), three oncogenes (E5, E6, and E7) and two genes
encoding for self-assembling proteins, which constitute the viral
capsid (L1 and L2) [4]. To date, this virus is reported to cause 99%
of cervical cancer [5], 93% of anus
[6], 40% of vagina [7], 40% of
penis [8], 63% of oropharynx [9] and 51% of
vulva cancers [10].
Moreover, it is estimated that every year about 527,600 women
are diagnosed with cervical cancer and 265,700 die from the
disease [11]. To fight with HPV infections, the developed
countries have increased financial supports to improve HPV
vaccination, for example, USA have allocated health budget of $4
billion/year in this regard [12]. For developing countries,
prevention of this viral infection is of more importance, since it
contributes about 85% to global cervical cancer burden [4].Among 15 oncogenic HPV types (16, 18, 31, 33, 35, 39, 45, 51, 52,
56, 58, 59, 68, 73, and 82), HPV 16 and HPV 18 are most
dominant, accounting for about 50% and 20% of cervical cancer
respectively [13]. Cumulatively these 2 types also account for an
even higher proportion of other genital and mucosal cancers
attributable to HPV infection [14]. Therefore, prevention can be
introduced by inhibiting them either through vaccination or postinfective
treatments. Vaccination is potentially the hardest
currency to prevent viral infections in both pediatric and
adolescent phase [15]. HPV capsid proteins L1 and L2 can
provide tremendous potentiality for the vaccine design.
Currently, two prophylactic vaccines, Merck’s Gardasil and
GlaxoSmithKline’s Cervarix, based on L1 antigen have been
approved and implemented in more than 100 countries [16,17].
Although both vaccines are highly effective in preventing HPV
infections, still neither one show therapeutic effects to established
HPV infections. Also, administration of these vaccines has been
found to have severe side effects, whereas the therapeutic vaccine
is considered to be safe, stable and easily producible [18].
Different therapeutic strategies have emerged including vectorbased,
peptide-based, protein based, DNA based, cell based and
combinational approaches. Here we have focused on the
prediction of epitopes for peptide based therapeutic vaccination
against HPV 16 and 18.The availability of genomic data, understanding of immune
responses and immunogenetic variations, new developments in
computer applications and systems biology approach are
showing new directions in vaccine development, away from the
traditional techniques of live-attenuated or inactivated virus or
recombinant VLP vaccines. The primary goal of this study is to
investigate different conserved epitopes of L1 and L2 capsid
proteins through ‘’Reverse Vaccinology’’ approach [19] and
justify whether they are immunogenic or not. The field of
immunoinformatics, which deals with the mapping of B-cell and
T-cell epitopes [20] has convinced researchers to look further in
search of epitopes which not only minimizes the number of
experiments but also enables a systematic identification of
candidate epitopes [21] from which experimental testing could be
made easier. The possibility of provoking any reaction against
self-antigens is also reduced by peptide-based vaccines, thereby
proving to be a safer vaccine by inhibiting the stimulation of auto
immunity [22]. Since epitopes are regions present on the
antigens, which are easily recognized by the antibodies [23],
epitope-based techniques provide the accurate and precise
characterization of Immune responses [24]. Moreover, the
fundamental purpose of epitope prediction is to design a
molecule that can mimic a genuine epitope’s structure and
function and replace it in medical diagnostics, therapeutics and
vaccine design [25]. In addition to all these, the most important
and prior advantage of epitope-based vaccines is that it deletes
the possibility of using the whole deadly viral proteins [26].
Thus prediction of reliable epitopes is essential for rational
vaccine design, which can identify the potential targets, and inturn
paves way for immunotherapeutic cancer treatment [27].The peptide-based vaccine also has another advantage of
increased safety, the opportunity to rationally engineered
epitopes for increased potency and the ability to focus immune
responses on conserved epitopes [28,29]. Thus, the aim of our
study was to identify B-cell and T cell epitopes of the L1 and L2
proteins of the two high risk HPVs (HPV 16 and HPV 18). Since
multiple sequence alignment results revealed higher intertype
variability of the L2 protein than L1 and experimental validation
provided no presence of conserved epitope in L2, We focused our
analysis on L1. Finally in this work we have found some linear
epitopes, which can defined as consist of conserved amino acids
and are easier to express and mimic than conformational epitopes
[30,31], EEYDLQFIFQLCKITLTA, RHGEEYDLQFIFQLCKITLTA, LPDPNKF, PETQRLVWAC,
PVPGQYDA, YNPETQRLVWAC, DTGYGAMD,
PVPGQYDATK, KQDIPKVSAYQYRVFRV,
RDNVSVDYKQTQLCI and YSRHVEEYDLQFIF of L1 protein,
which can be used for vaccine design against HPV, especially
HPV 16 and 18.
Methodology
Sequence alignment
Amino acid sequences of the capsid proteins (L1 and L2) of HPV
types were retrieved from the NCBI database available at
(http://www.ncbi.nlm.nih.gov/) updated till December 24, 2016
and the accession numbers of those sequences are listed in Table 1. Conserved regions in L1 and L2 capsid protein sequences of
human papilloma virus (HPV) were determined by using
nucleotide sequence alignment software database (CLUSTALW)
program available at (http://www.genome.jp/tools/clustalw/)
[32].
Table 1
Accession numbers of sequences of HPV L2 and L1 proteins.
B cell epitopes of L1 and L2 protein sequences of HPV were
predicted by using Immune Epitope Database (IEDB) Analysis
Resource, available at (http://tools.immuneepitope.org/main
/html/bcell_tools.html) [33]. Kolaskar & Tongaonkar
Antigenicity method used to predict all potential epitopes with
standard features [34].T cell epitopes of L1 and L2 protein sequences of HPV were
collected by T Cell Epitopes- MHC Binding Prediction Tools by
using Immune Epitope Database (IEDB) web tool available at
(http://tools.immuneepitope.org/). Those epitopes, who have
potentiality to bind with MHC class I molecule were determined
by peptide binding to MHC Class I molecules Tool [35-38]. In
addition, epitopes binding to MHC class II molecule were
determined by peptide binding to MHC Class II molecules Tool
[39,40].
Epitope locomotion
The 3D structures of L1 protein of HPV (types 16 and 18) were
retrieved from the Protein Data Bank (PDB) with folling IDs
2R5H and 2R5I, respectively available at (http:
www.pdb.org/). The PDB ID (2R5H) and (2R5I) were used at
MMDB (Molecular Modeling Database) at
(http://www.ncbi.nlm.nih.gov/Structure/MMDB/mmdb.shtml)
[41] to determine 3D structures of epitopes. The PyMOL software
(https://www.pymol.org) was then utilized to see the location of
linear epitopes in 3D structures of L1 protein of HPV types 16
and 18.
Result
Alignment of amino acid sequences of capsid proteins (L1 and L2)
of human papilloma virus
HPV capsid proteins L1 and L2 usually synthesize late in the
infection cycle and encapsidate the closed circular doublestranded
DNA mini-chromosome. Since L1 and L2 capsid
proteins are largely responsible for essential functions including
virion assembly, virion stability, and virion uncoating, a
consistent pattern of conserved and variable regions is perhaps
not surprising. We had aligned 27 sequences of L1 and 49
sequences of L2 proteins of HPV obtained from the National
Center for Biotechnology Information database
(http://ncbi.nlm.nih.gov) by using CLUSTALW program to find
conserved regions with in the sequences. This is because the
highly conserved epitopic regions are less prone to antigen
escape and viral mutation [26]. From the alignment figures (not
shown here) we found that the intertype variability of the L2
proteins is higher than for the L1 proteins. Thus, L2 proteins
show far less consistency in the positions of variable regions than
is seen in the L1 proteins.
B cell and T cell epitopes of L1 and L2 proteins of human
papilloma virus (HPV)
To predict continuous linear B cell epitopes we used Kolaskar &
Tongaonkar Antigenicity Method [34]. This method is a semiempirical
method that makes use of physicochemical properties
of amino acid residues and their frequencies of occurrence in
experimentally known segmental epitopes was developed to
predict antigenic determinants on proteins [34]. Application of
this method to a large number of proteins has shown that the
method can predict antigenic determinants with about 75%
accuracy which is better than most of the known methods.
According to Kolaskar & Tongaonkar the greater the score of an
epitope, the greater the antigenicity. We have found B cell
epitopes with greater score in the conserved regions within the
sequences of L1 protein of HPV type 16 and type 18 but no
potential B cell epitope had been found in the conserved regions
of L2 protein sequences.Here T cell MHC-I epitopes were predicted by using Peptide
binding to MHC class I molecules tool [Immune Epitope
Database (IEDB)]. This tool considers in an amino acid sequence
or set of sequences and determines each subsequence's ability to
bind to a specific MHC class I molecule. Consistent dysregulation
of HLA expression has been reported in cervical neoplasia, which
can influence the prospects for cell-mediated vaccine therapies.
HLA-A*0201 allele’s expression has been found to be increased in
HPV-associated cervical cancer [42]. Therefore, we selected HLAA*
0201 allele for prediction of T cell MHC-I epitopes of L1 and L2
proteins of HPV. In this study some potential T cell MHC-I
epitopes were found in conserved regions within the sequences
of L1 protein of HPV type 16 and 18. No T cell MHC-I epitope
was found in conserved regions of HPV L2 protein sequences.T cell MHC-II epitopes were predicted by using Peptide binding
to MHC class II molecules tool [Immune Epitope Database
(IEDB)]. This tool provides a consensus approach to predict MHC
Class II epitopes based upon Sturniolo, ARB, and SMM align.
Several HLA class II alleles have been found to increase the risk
of cervical cancer when associate with it [43,44]. DRB1*1501 and
DQB1*0602 alleles were found to be associated only with HPV 16
possitive cervical cancer [45]. Thus, we selected HLA- DRB1*1501
and DQB1*0602 alleles to predict T cell MHC-II epitopes of L1
protein of HPV 16. The most important at-risk alleles are
DQB1*0301 and DRB1*0401, when associated with HPV 18
positive cancers [46]. So we had selected DRB1*0401 and
DQB1*0301 to predict T cell MHC-II epitopes of L1 protein of
HPV 18. Some potential T cell MHC-II epitopes of L1 proteins of
HPV 16 and 18 were found but no one was found in conserved
regions within the sequences of L2 protein of HPV.
B cell and T cell linear epitopes of L1 protein of human
papilloma virus (HPV) types 16 and 18
Vaccines composed of longer peptide sequences generate both
CD4 and CD8 specific T cell responses against HPV oncogenes. It
results in more vigorous CD8 CTL responses than vaccination
with exact minimal CTL (Cytotoxic T lymphocytes) epitope
length [47]. We had chosen B and T cell epitopes with longer
length due to their high potentiality to stimulate immune system.
We selected B cell linear epitope EEYDLQFIFQLCKITLTA and T
cell MHC Class-I and II epitope RHGEEYDLQFIFQLCKITLTA
whose locations in L1 protein sequence of HPV 16 have been
shown in Figure 1. We also selected B cell linear epitopes
VVDTTRS, PVPGQYDA, LPDPNKF, PETQRLVWAC,
RGQPLGVG and PAIGEHW; T cell MHC Class –I linear epitopes
PVPGQYDATK, GRGQPLGVG, YNPETQRLVWAC and
DTGYGAMD; B cell and T cell MHC Class –I linear epitopes
AGSSRLLTVG, NLTICASTQ, YSRHVEEYDLQFIF and
GDCPPLEL; B cell and T cell MHC Class –II linear epitope
KQDIPKVSAYQYRVFRV; B cell and T cell MHC Class –I and II
linear epitopes RDNVSVDYKQTQLCI Whose locations in L1
protein sequences of HPV 18 have been shown in (Figure 2A and
2B). All the aforementioned linear epitopes, observed in most
conserved regions in sequences of L1 protein of HPV type 16 and
18.
Figure 1
Sequence diagram of HPV 16 L1 protein. Sequence
diagram of HPV 16 L1 protein. Here epitope sequences and their
locations (amino acid) in L1 protein are highlighted in red and
blue respectively.
Figure 2
Sequence diagrams of HPV 18 L1 protein (A and B).
(A): Sequence diagram of HPV 18 L1 protein. Here all are linear
epitopes and their sequences and locations (amino acid) in L1
protein are highlighted in red and blue respectively. (B) Sequence
diagram of HPV 18 L1 protein. Here all are linear epitopes and
their sequences and locations (amino acid) in L1 protein are
highlighted in red and blue respectively.
Furthermore, three dimensional structure of L1 protein of HPV
type 16 and type 18 were retrieved by using PDB (Protein
Databank) ID 2r5h and 2r5i respectively (Figure 3, Figure 4,
Figure 5and Figure 6).
Figure 3
Structures of (A) B cell epitope [EEYDLQFIFQLCKI
TLTA] and (B) T cell epitope [RHGEEYDLQFIFQLCKITLTA] in
the cartoon of HPV type 16 L1 protein. Structures of B cell
epitope [EEYDLQFIFQLCKITLTA] and (B) T cell epitope
[RHGEEYDLQFIFQLCKITLTA] in the cartoon of HPV type 16 L1
protein are highlighted here in purple color. HPV 16 L1 is a
pentameric protein which has A, B, C, D, E, F, G, H, I, J, K, L, M,
N and O chains. Here only 3D structure of ‘’A’’ chain has been
shown and in the structure red and blue color represent the
amino and carboxyl terminals respectively.
Figure 4
Structures of B cell epitopes (A) [LPDPNKF], (B)
[PETQRLVWAC] and (C) [PVPGQYDA] in the cartoon of HPV
type 18 L1 protein. Structures of B cell epitopes (A) [LPDPNKF],
(B) [PETQRLVWAC] and (C) [PVPGQYDA] in the cartoon of
HPV type 18 L1 protein are highlighted here in purple color.
HPV 18 L1 is a pentameric protein which has A, B, C, D, E, F, G,
H, I, J, K, L, M and N chains. Here only 3D structure of ‘’A’’ chain
has been shown and in the structure red and blue color represent
the amino and carboxyl terminals respectively.
Figure 5
Structures of T cell epitopes (A) [YNPETQRLVWAC],
(B) [DTGYGAMD] and (C) [PVPGQYDATK] in the cartoon of
HPV type 18 L1 protein. Structures of T cell epitopes (A)
[YNPETQRLVWAC], (B) [DTGYGAMD] and (C)
[PVPGQYDATK] in the cartoon of HPV type 18 L1 protein are
highlighted here in purple color. HPV 18 L1 is a pentameric
protein which has A, B, C, D, E, F, G, H, I, J, K, L, M and N
chains. Here only 3D structure of ‘’A’’ chain has been shown and
in the structure red and blue color represent the amino and
carboxyl terminals respectively.
Figure 6
Structures of B and T cell epitopes (A)
[KQDIPKVSAYQYRVFRV], (B) [RDNVSVDYKQTQLCI] and (C)
[YSRHVEEYDLQFIF] in the cartoon of HPV type 18 L1 protein.
Structures of B and T cell epitopes (A)
[KQDIPKVSAYQYRVFRV], (B) [RDNVSVDYKQTQLCI] and (C)
[YSRHVEEYDLQFIF] in the cartoon of HPV type 18 L1 protein
are highlighted here in purple color. HPV 18 L1 is a pentameric
protein which has A, B, C, D, E, F, G, H, I, J, K, L, M and N
chains. Here only 3D structure of ‘’A’’ chain has been shown and
in the structure red and blue color represent the amino and
carboxyl terminals respectively.
Location of B cell and T cell linear epitopes
Finally we had choosen those B and T cell linear epitopes who
have aromatic amino acids [phenylalanine (F), tryptophan (W)
and tyrosine (Y)], as aromatic amino acids have been found to
increase immunogenecity. Epitope sequences are shown in
purple color in the Figure 3, Figure 4,
Figure 5and Figure 6.Epitopes 48EEYDLQFIFQLCKITLTA65, and 45RHGEEY
DLQFIFQLCKITLTA65 of L1 protein of HPV type 16, Figure 3
and epitopes 63LPDPNKF69, 79PETQRLVWAC88, 36PVP
GQYDA43, 77YNPETQRLVWAC88, 188DTGYGAMD195, 36P
VPGQYDATK45, 45KQDIPKVSAYQYRVFRV61, 130RDNV
SVDYKQTQLCI144 and 49YSRHVEEYDLQFIF62 of L1 protein of
HPV type 18, Figure 4,
Figure 5and Figure 6 were predicted as potential
epitopes and superscript numbers indicate the position of epitope
in the L1 protein sequence.
Discussion
Worldwide HPV-induced dysplasia and cancer cause significant
morbidity [48]. Although prophylactic vaccines are presently
accessible, immunization does not reach everyone at risk.
Moreover, those vaccines have no therapeutic effects [49], leaving
HPV-infected individuals in need of treatment options. A
noninvasive treatment such as a therapeutic vaccine employing
an effective anti-HPV state would be an attractive alternative.
Still now prediction of immunogenic epitopes for HPV is a vital
and challenging task. Though there are various types of high risk
HPVs, HPV 16 and HPV 18 are responsible for 70% of cervical
adenocarcinomas [50]. In this work we have made an attempt to
predict the epitopes of the L1 proteins of high risk HPVs (16 and
18). To achieve this task, we analyzed a huge amount of data and
arrive at an interesting result. Our work focused on identifying
the conserved residues, T cell (HLA class I and HLA class II) and
B cell epitopes and their corresponding 3D structure information.From the multiple sequence alignment results, we found that the
intertype variability of the L2 proteins is higher than L1. Thus, L2
is less consistent in the positions of variable regions than the L1.
Conserved regions of L1 and L2 revealed that more epitopes
present in conserved regions within the sequences of L1 than L2
protein and these regions would be major targets for neutralizing
antibodies. Thus, L1 protein could be a better target for vaccine
design than L2. We preferentially selected B cell and T cell linear
epitopes with longer length because vaccination with longer
peptides generates high levels of neutralizing antibodies than
vaccination with exact minimal epitope length [47]. Several HLA
class I and class II alleles associate with the risk of cervical cancer.
Here, we selected HLA-A*0201 allele for prediction of T cell
MHC-I epitopes of L1 Protein of HPV 16 and 18. The DRB1*1501
and DQB1*0602 alleles and the HLA- DRB1*1501 and DQB1*0602
alleles were found to be associated only with HPV 16 and HPV 18
positive cervical cancer respectively [45,46]. Thus, HLADRB1*
1501 and DQB1*0602 alleles were selected to predict T cell
MHC-II epitopes of L1 of HPV 16 and DRB1*0401 and
DQB1*0301 alleles to predict T cell MHC-II epitopes of L1 protein
of HPV 18. Since the location of epitopes are critical for the
production of neutralizing antibodies [51,52], we predicted
three-dimensional model to further elucidate probable aspects of
those epitopes of L1 protein, who have aromatic amino acids
[phenylalanine (F), tryptophan (W) and tyrosine (Y)], as presence
of aromatic amino acids increase immunogenecity.Finally, we hypothesized that epitopes 48EEYDLQFIFQLCK
ITLTA65, and 45RHGEEYDLQFIFQLCKIT LTA65 Figure 3 of L1
protein of HPV type 16, and epitopes 63LPDPNKF69,
79PETQRLVWAC88, 36PVPGQYDA43, 77YNPETQRLVWAC88,
188DTGYGAMD195, 36PVPGQYDAT K45, 45KQDIPK
VSAYQYRVFRV61, 130RDNVSVDYKQTQ LCI144 and
49YSRHVEEYDLQFIF62 Figure 4,
Figure 5and Figure 6 of L1 protein of HPV
type 18 might be the epitopes associated with production of
neutralizing antibody response against HPV type 16 and 18, since
they follow all the factors that influence immunogenicity.
Immunogenicity of an immunogen can be determined by some
properties: its foreignness, molecular size, chemical nature,
complexity, heterogenicity and ability to be processed and
presented with an MHC molecule. Epitopes of HPV L1 proteins
are foreign particles for human. The molecular weight of HPV L1
protein is 55 kDa, and the most active immunogen tend to have a
molecular mass of > 100,000 Daltons (Da), so epitopes of L1
protein could be effective immunogen. Proteins found to have
greaterImmunogenicity than carbohydrates, lipids and nucleic acids and
here we had designed epitopes of a protein. Primary structure of
proteins found to have lesser immunogenicity than secondary
structure of same protein. Since epitopes of HPV L1 protein were
shown in 3D structures they could be potential immunogen.
Heteropolymers (composed of different amino acids) are more
immunogenic than homopolymers. Since epitopes of HPV L1
protein are heteropolymer, they could be effective immunogen.Several studies had been reported some epitopes of HPV L1
protein such as epitope sequences MVLILCCTLAILFCVA,
LAILFCVADVNVFHIF, DVNVFHIFLQMSVWRP and
QMSVWRPSEATVYLPP of HPV type 58 [53]; epitopes
ENVPDDLYIKGSGS, QPLGVGISGHPLLNKLDDTE, GLKA
KPKFTLGKRKATPTT, NLASSNYFPTPSGSM, PSGSM
VTSDAQIFNK, STILEDWNFGLQPPPGGTLE, PCTN
VAVNPGDC, FNRAGTVGENVPDDLYIKGS and DVNV
YHIFFQMSLWLPSEAT of HPV type 16 [54-58]; epitopes
STILEDWNFGLQPPPGGTLE, SSILEDWNFGVPPPPTTSLV and
QPLGVGISGHPLLNKLDDTE of HPV type 18 [54-57]; epitopes
STILEDWNFGLQPPPGGTLE and QPLGVGISGHPLLNKLDDTE
of HPV types 31 and 11 [54-57] and epitope
QPLGVGISGHPLLNKLDDTE of HPV type 33, 35 and 45 [54].
Subramanian and Chinnappan, 2013 [59]; reported that the
fragments FAFK(R) DL and KLPD(Q)LCTEL are most
promiscuous epitopes among E6 proteins of high risk HPVs -
HPV 16, HPV 18 and HPV 45 by the application of “Reverse
Vaccinology’’ similar to our study. Here we predicted potential
epitopes of L1 proteins of HPV 16 and HPV 18 instead of E6
proteins of HPV 16, 18 and 45. Dey et al. 2016 [60]; presented a
study for the designing of multivalent peptide vaccines against
multiple HPV types and reported both linear and conformational
epitopes of L1 proteins of HPV 16, 18, 33, 35, 45, and 11 types.
The caveat to our analysis is that we had only predicted linear
epitopes in conserved regions of HPV 16 and 18. Combita et al.
2002 [54]; experimenting with mice model confirmed that linear
epitopes induce cross-neutralization, but also inferred that such
cross-neutralization will not exceed 1% of the effects of the
dominant conformational epitopes. Rodden et al. 2000 [61];
reported that type-specific and cross-reactive linear epitopes have
been determined on the L2 protein surface also, but in this study,
we restrict our analyses to the L1 protein epitopes only as we did
not found any linear epitopes in the conserved regions of L2. One
potential caveat of our current analysis is that the developed
immunity will be HPV type-specific so that protection will occur
only to HPV 16 and 18 types. As HPV-associated cancers are
comprised of at least 15 HPV types, future experiments will be
required for the designation of a multi-HPV-type vaccine, or a
vaccine that develops more broadly protective neutralizing Abs,
for more complete protection against HPV-associated cancers.
Conclusion
Therapeutic vaccines play a vital role in preventing the metastatic
spread of cervical cancer with immediate impact rather than
prophylactic vaccines, which normally takes many years to
reduce deaths from this disease. We have proposed an alternative
strategy of peptide vaccines for conditions where VLP (Virus like
Particle) vaccines like Gardasil and Cervarix may not be ideal.
Our exercise yielded a set of epitopes of L1 protein for HPV type
16 and 18. Because of the nature of the viral coat proteins, the
epitopes proposed in this paper may not provide the high level of
efficiency that the VLP vaccines can provide, but with suitable
adjuvants may enhance the neutralizing antibody production.
Hence, we conclude that, epitopes 48EEYDLQFIFQLCKITLTA65,
45RHGEEYDLQFIFQLCKITLTA65, 63LPDPNKF69, 79PETQRLV
WAC88, 36PVPGQYDA43, 77YNPETQRLVWAC88, 188DT
GYGAMD195, 36PVPGQYDATK45, 45KQDIPKVSAYQY
RVFRV61, 130RDNVSVDYKQTQLCI144 and 49YSRHVEEY
DLQFIF62 of L1 protein might be used as potential tools for
designation of a new vaccine against HPV type 16 and 18.
However, it is necessary to perform wet laboratory experiments
to test the efficacy of the results of studies like this. At last such
preparations should be strongly recommended due to the wide
spread of papillomavirus-induced cervical, genital, and other
cancers and the sufferings these cause.
Authors: W I White; S D Wilson; F J Palmer-Hill; R M Woods; S J Ghim; L A Hewitt; D M Goldman; S J Burke; A B Jenson; S Koenig; J A Suzich Journal: J Virol Date: 1999-06 Impact factor: 5.103
Authors: Djenaba A Joseph; Jacqueline W Miller; Xiaocheng Wu; Vivien W Chen; Cyllene R Morris; Marc T Goodman; Jose M Villalon-Gomez; Melanie A Williams; Rosemary D Cress Journal: Cancer Date: 2008-11-15 Impact factor: 6.860
Authors: Nubia Muñoz; F Xavier Bosch; Xavier Castellsagué; Mireia Díaz; Silvia de Sanjose; Doudja Hammouda; Keerti V Shah; Chris J L M Meijer Journal: Int J Cancer Date: 2004-08-20 Impact factor: 7.396