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Clin Cancer Res. Author manuscript; available in PMC 2016 May 01.
Published in final edited form as:
Clin Cancer Res. 2015 May 1; 21(9): 2009–2019. doi:10.1158/1078-0432.CCR-14-1101.
Genomic Landscape of Human Papillomavirus–Associated
Cancers
Maria Rusan1,2,3,4, Yvonne Y. Li3,4, and Peter S. Hammerman3,4
1Department
of Clinical Medicine, Aarhus University, Denmark
2Department
of Otorhinolaryngology, Aarhus University, Denmark
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3Department
of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School,
Boston, Massachusetts
4Cancer
Program, Broad Institute of Harvard and MIT, Cambridge, Massachusetts
Abstract
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Recent next-generation sequencing studies have generated a comprehensive overview of the
genomic landscape of Human Papillomavirus (HPV)-associated cancers. This review summarizes
these findings to provide insight into the tumor biology of these cancers and potential therapeutic
opportunities for HPV-driven malignancies. In addition to the tumorigenic properties of the HPV
oncoproteins, integration of HPV DNA into the host genome is suggested to be a driver of the
neoplastic process. Integration may confer a growth and survival advantage via enhanced
expression of viral oncoproteins, alteration of critical cellular genes, and changes in global
promoter methylation and transcription. Alteration of cellular genes may lead to loss of function of
tumor suppressor genes, enhanced oncogene expression, loss of function of DNA repair genes, or
other vital cellular functions. Recurrent integrations in RAD51B, NR4A2, and TP63, leading to
aberrant forms of these proteins, are observed in both HPV-positive head and neck squamous cell
carcinoma (HNSCC) and cervical carcinoma. Additional genomic alterations, independent of
integration events, include recurrent PIK3CA mutations (and aberrations in other members of the
PI3K pathway), alterations in receptor tyrosine kinases (primarily FGFR2 and FGFR3 in HPVpositive HNSCC, and ERBB2 in cervical squamous cell carcinoma), and genes in pathways related
to squamous cell differentiation and immune responses. A number of the alterations identified are
potentially targetable, which may lead to advances in the treatment of HPV-associated cancers.
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Introduction
Late in 1979 Lutz Gissmann and Ethel-Michele de Villiers, working in the lab of Harald zur
Hausen, successfully isolated and cloned the first Human Papillomavirus (HPV) DNA from
genital warts: HPV-6. HPV-11 was cloned shortly thereafter from a laryngeal papilloma.
The German research group hypothesized that HPV was the causative agent in cervical
Corresponding Author: Peter S. Hammerman, Dana-Farber Cancer Institute, 450 Brookline Avenue, Dana 810A, Boston, MA
02215. Phone: 617-632-3000; Fax: 617-582-7880; phammerman@partners.org.
Disclosure of Potential Conflicts of Interest
No potential conflicts of interest were disclosed.
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cancer. By using HPV-11 as a probe, one out of 24 cervical cancer biopsies was found to be
positive. In addition, several of the other biopsies yielded faint bands, allowing speculation
that these might represent the presence of related HPV types. Only a few years later, in
1983, the group isolated HPV-16 DNA, and in 1984, HPV-18 DNA, which they noted were
present in about 50% and 20% of cervical cancer biopsies, respectively, as well as in several
cervical cancer cell lines. Harald zur Hausen received the Nobel Prize in Physiology or
Medicine in 2008 for his group’ s groundbreaking discovery.
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Now, over 30 years later, HPV is known to be the etiologic agent in cervical cancer, as well
as in a significant proportion of anogenital cancers and head and neck squamous cell
carcinoma (HNSCC) cases (in particular tonsillar and base of tongue carcinomas) (1, 2).
HPV is further responsible for a variety of benign neoplasms, such as genital warts, oral
papillomas, and recurrent respiratory papillomatosis. Over 150 HPV types have been
identified and classified into low-risk and high-risk based on their malignant potential. The
predominant high-risk type identified in cervical, anogenital, and head and neck carcinomas
is HPV16.
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HPV infects epithelial tissue and depends on epithelial differentiation for completion of its
lifecycle (3, 4). The molecular biology of HPV during its normal life cycle and in
carcinogenesis is described in several recent reviews (3, 5–9). HPV is known to drive
tumorigenesis in particular through the actions of the oncoproteins E6 and E7 (10–12).
These target numerous cellular pathways, such as p53 and pRB, to promote cellular
immortalization, thus providing an environment amenable to viral replication. Furthermore,
the virus has adapted multiple mechanisms to evade the host immune response. These
include expression of viral proteins at high levels only in the upper epithelial layers where
immune surveillance is limited and non-lytic release of virions without significant viraemia,
through the natural epithelial shedding process. HPV further hampers the immune system by
hindering Langerhans cell migration (13, 14) and activation (15), by suppressing the
interferon (IFN) response (16–18), and by interfering with HLA class 1-mediated antigen
presentation (19). Persistent infection with HPV leads to an environment of genomic
instability and local immune suppression, which can lead to both the accumulation of
genomic alterations in the host cell, as well as to the integration of the viral genome into the
host genome. When these additional alterations provide a selective growth advantage to the
cell, carcinogenesis may ensue.
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Recent genome-wide studies (20–24) using next-generation sequencing techniques (whole
genome/exome sequencing, RNA-Seq, miRNA-Seq) and methylation analyses, have
described the genomic and epigenomic alterations of HPV-associated cancers. These
comprehensive studies have generated novel information about how HPV integration may
drive genomic instability and the progression from viral infection to cancer, as well as
highlighted genomic aberrations that may be targetable in the treatment of HPV-associated
cancers. This review summarizes the recent literature concerning the genomic landscape of
HPV-associated cancers, and the interactions between HPV and the host-genome in cancer.
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Characterization of HPV Integrations
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During an infection HPV genomes are found in the nucleus as episomes (circular,
extrachromosomal DNA). Integration of the viral genome, or fragments thereof, into the
host genome has been noted in the majority of high-grade cervical lesions and cancers (25–
28). Thus it is believed that integration occurs relatively late in the progression to high-grade
cervical dysplasia. Integration has also been noted in a significant proportion of HPVpositive HNSCCs (22, 29). It has been suggested that integration disrupts the E2 open
reading frame causing upregulated expression of the E6 and E7 oncoproteins (30) (E2
normally suppresses their expression (31)). Furthermore, the integrated viral transcripts
confer stronger transforming capacity than those derived from episomes, due to longer halflife of transcripts (32). This promotes immortalization and transformation of these cells, and
provides a selective growth advantage (3, 8, 30, 33). Integration may, however, confer a
selective growth advantage to the host cells not only through its effects on the viral genome
(i.e., enhanced/deregulated expression of viral oncoproteins), but also through its effects on
the host genome (i.e., by affecting key cellular genes).
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Akagi and colleagues (23) undertook an analysis of a panel of ten cervical and head and
neck cancer cell lines (five HPV16-positive and three HPV-negative HNSCC lines, and two
HPV-positive cervical lines), as well as two HPV-positive primary HNSCC samples. The
HNSCC HPV-positive lines were from the following anatomic sites: oral cavity (n=1),
hypopharynx (n=1), tongue (n=2), and tonsillar fossa (n=1). The two primary samples were
from an oral cavity carcinoma and a tonsillar carcinoma. Samples were analyzed by wholegenome sequencing, RNA-seq, spectral karyotyping, fluorescence in situ hybridization
(FISH), and other molecular assays. The majority of the lines and the two primary samples
had less than 10 breakpoints in the host genome. Two of the cancer cell lines, however, had
a high number of breakpoints (CaSki, a cervical carcinoma line, had 47, and UPCI:SCC090,
a tongue SCC line, had 33). Akagi et al. found that breakpoints occurred throughout the viral
genome, frequently fragmenting the viral genome and leading to loss of viral genes. In four
out of nine cell lines E2 was missing. E6 and E7 were, however, retained and expressed in
all cases. Of note, E6 and E7 were amplified within the viral-host concatemers in most
samples.
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Parfenov and colleagues performed a comprehensive, genome-wide analysis of 35 primary
HPV-positive HNSCCs, considering the effect of integrations on the structure of the host
genome, RNA expression, and the epigenome (22). Twenty-nine of the 35 tumors (83%) had
HPV16, and the remainder had HPV33 or HPV35. Twenty-five of the 35 cases (71%) had
integrated HPV DNA into anywhere from one to 16 regions of the human genome (21 cases
had HPV16, three HPV33 and one HPV35). Thirteen cases were from the oropharynx, ten
from the oral cavity, and two from the larynx. In line with the findings of Akagi et al. (23) as
well as studies in cervical cancer (34), the breakpoints mapped broadly across the viral
genome, however occurred with higher observed frequency in E1 (Fig. 1). The observed
breakpoints in the viral genome were nonrandom, as they were higher than expected by
chance in E1, and in all but one case E6 and E7 were intact. Tumors with an integration
event were associated with lower levels of HPV E2, E4 and E5, and higher levels of HPV
E6 and E7 expression, compared to integration-negative tumors. However, these results,
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along with those of others (35), suggest that E2 ORF disruption is not mandatory for
enhanced viral oncogene expression, and that E2 may be downregulated by additional
mechanisms. It is important to note that not all tumors with integrated HPV showed
enhanced expression of viral E6 and E7 oncoproteins, indicating that elevated levels may
not be essential for the development of cancer. This suggests that HPV integration, or
additional genetic alterations, can drive carcinogenesis independently of enhanced E6 and
E7 expression, and that in certain cases, constitutive rather than enhanced expression of
E6/E7 is sufficient for cancer development.
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Interestingly, breakpoints in a specific HPV gene did not correlate with that gene’ s
expression level in the samples studied by Parfenov et al. (22). This may be due to
expression from intact HPV copies in the sample. Expression of viral genes post-integration
may also be influenced by nearby cellular regulatory sequences (36). Conversely, in cervical
cancer samples, Ojesina et al. (24) observed elevated host gene expression levels at sites of
integration compared to expression levels of the same genes in tumors without integration.
This was associated, in a proportion of the cases, with copy-number gains, but not at all
sites, indicating that expression may be partly driven by the integrated viral promoter(s) at
some sites (24).
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Integrations occur throughout the human genome in both HNSCC (22, 23) and cervical
cancer (23, 24, 34) (Fig. 2). Parfenov and colleagues noted, however, that this is often in
regions of microhomology (1–10 bp) among the viral and host genome, and most frequently
into genic regions and miRNA regions. In 54% of cases the virus integrated into a known
gene and in 17% within 20 kb of a gene. Similarly, Akagi and colleagues observed
enrichment of HPV integrants within 50 kb of RefSeq genes. In addition, several studies
have found that HPV integrates within, or close to, fragile sites (23, 24, 34).
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Interestingly, several studies have noted that HPV integrations colocalize with somatic copy
number variants, including focal amplifications, deletions, intra- and interchromosomal
translocations (22–24). Akagi et al. found HPV integrants at regions of amplification
(ranging from a 1.5-fold increase in HMS001 cells to a 58-fold increase in UPCI:SCC090
cells), as well as regions with deletions (spanning from 487 bp in HMS001 to 234 kb in
chromosome 3 of UPCI:SCC090). They further observed that HPV insertional breakpoints
frequently clustered together. Akagi et al. suggested a looping model to explain the
amplifications and rearrangements noted at integration sites. In this model there is nicking of
the host genome, integration of the linear HPV genome, transient formation of circular DNA
containing both host and viral sequences, rolling circle amplification of this template and
formation of integrated concatemers of viral-host sequences. Parfenov et al. further noted
amplification events that were suggestive of excision, subsequent circularization of the
integrated virus and adjacent human sequences, and maintenance of the fused viral-host
genome as an episome. Both Parfenov et al. (22) and Akagi et al. (23) noted the expression
of virus-host fusion transcripts.
Parfenov et al. (22) further considered whether integration was associated with clinical
outcome or other clinical features (anatomic site, tumor stage, age, smoking status), but did
not find any statistically significant associations. However, the sample size was quite
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limited. In cervical cancer patients treated with radiotherapy, Shin et al. (37) found a trend
towards decreased disease-free survival in patients with only HPV integrated forms vs.
patients with both integrated and episomal HPV. Further research is needed to elucidate the
relationship between HPV physical status (integrated vs. episomal vs. mixed) and clinical
outcome in both HNSCC and cervical cancer.
Deregulation of Key Cellular Genes by HPV Integration
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Several mechanisms by which HPV integration may confer a selective advantage have been
described (Fig. 3). The first of these is loss of function by integration into a gene. Parfenov
and colleagues (22), for instance, identified three integration events, in the same primary
HNSCC tumor sample, into intron 8 of the RAD51B gene on chromosome 14. RAD51B is a
component of the DNA double-strand break repair pathway, and loss of this gene may
promote genomic instability. The integration resulted in a 28-fold amplification of a 42 kb
segment of intron 8 along with parts of the viral genome. The chimeric construct was
circularized, and alternative RAD51B transcripts were expressed that were likely
nonfunctional. Intriguingly, integrations in this gene have also been noted in multiple
cervical cancer samples by Ojesina et al. (24) related to HPV16, HPV 18 and HPV52
integrations, and by Khoury et al. in HNSCC samples (38). Similarly, integration has been
described into ETS2, a tumor suppressor gene, with deletion of exon 7 and 8 at the
integration site, resulting in truncated forms of the ETS2 protein (22).
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A second mechanism by which integration may lead to deregulation of key cellular genes is
by amplification and subsequent over-expression of these genes. In one example HPV
integrated upstream of the NR4A2 oncogene, resulting in a 284-fold amplification of a 75 kb
genomic region encompassing the NR4A2 gene, and overexpression of NR4A2. Interestingly,
this tumor exhibited low levels of E6 and E7, suggesting that other factors were important
for tumorigenesis in this case. Integration near NR4A2 was also noted in one cervical sample
by Ojesina et al (24). Additional examples include amplification of the oncogenes FOXE1
and PIM1 in UPCI:SCC090 cells (tongue SCC), and the solute carrier, SLC47A2, in UMSCC-104 cells (oral cavity SCC) (23). In cervical cancer, several cases of integration near or
within the MYC gene locus have also been described (24, 39–41).
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Lastly, HPV insertion is associated with intra- and interchromosomal rearrangements.
Parfenov et al. described one HNSCC case where there was a rearrangement between
chromosomes 3 and 13 near the site of integration. The integration was in a nongenic region,
however the translocation involved a region of chromosome 3 containing tumor protein p63
regulated 1 (TPRG1) and TP63, and on chromosome 13 the Krüppel-like factor 5 (KLF5)
gene. The regions involved in the rearrangement were amplified and led to increased
expression of KLF5, TP63, and TPRG1. Of note, KLF5 is a transcription factor known to
regulate proliferation and has been implicated in a number of cancer types (42). TP63 is a
transcription factor, with an important role in epithelial development, and which has been
implicated as an important oncogene in squamous cell cancers (43, 44). The function of
TPRG1 is not well characterized. Aberrant expression of TP63 secondary to HPV
integration was also noted in UM-SCC-47 cells (23) and in cervical cancer (24). Fig. 2
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provides an overview of the integration sites into the human genome identified in recent
studies of HNSCC and cervical cancer.
Interestingly, Parfenov et al. (22) also showed that DNA methylation profiles are distinct for
HPV-positive tumors with integration compared to those without integration. Some of the
differentially methylated genes were the tumor suppressors BARX2 and IRX4, and the
oncogenes SIM2 and CTSE. The mechanism by which integration alters the methylation
profile remains to be elucidated.
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The co-localization of HPV integrations with alterations that may lead to loss or gain of
function in key cancer genes, in particular the presence of recurrent integration in specific
genes, highly suggests that integration contributes to tumorigenesis. Further work is,
however, needed to more fully characterize and validate the impact of HPV integration on
these cellular genes to gain a deeper understanding of the cancer biology in these cases.
Additional Genomic Alterations in HPV-Associated Cancers
Additional genomic alterations, not associated with HPV integration events, have been
described in HPV-driven cancers. These are believed to contribute to tumor development.
HNSCC
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Several genome-wide studies of HNSCC have suggested that HPV-driven cases display less
genomic complexity compared to HPV-negative cases, which is associated with excessive
smoking and alcohol consumption (45). A comprehensive study of 279 HNSCC tumors by
the Cancer Genome Atlas group did not confirm this finding (36 of the tumors were HPVpositive, composed of 21 oropharyngeal, 12 oral cavity, one laryngeal, and one
hypopharyngeal carcinoma). However, the majority of HPV-positive patients in the study
were also smokers, and displayed CpG transversions, a mutation class typically associated
with smoking (along with the expected virus-associated Tp*Cp (A/C/T) substitution
mutations). Seiwert et al. have shown that smokers (both HPV-negative and HPV-positive)
display a higher mutational burden (21). Although HPV-positive status confers a favorable
prognosis, patients with >10 pack-year smoking history have a poorer prognosis (46). The
increased genomic complexity, the presence of unfavorable alterations (i.e. p53 mutations),
as well as changes to the immune environment, in tumors associated with smoking may
contribute to the poorer prognosis.
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Both HPV-positive and negative HNSCC tumors have been shown to have recurrent focal
amplifications of 3q26/28, which includes factors involved in squamous lineage
transcription, such as TP63 and SOX2, as well as the oncogene, PIK3CA (20, 21) (Fig. 4). In
addition to amplification of PIK3CA, mutations in PIK3CA have been also been found to be
enriched in HPV-positive HNSCC in a number of studies (20, 21, 47, 48). Importantly,
PIK3CA alterations have been reported to be potential therapeutic biomarkers in this patient
population (48). In addition, KRAS, NRAS and HRAS alterations have been reported in about
10% of cases (21). These alterations converge upon NF-kB transcription factors that promote
cell survival, migration, inflammation and angiogenesis. Of note, RAS mutations have been
associated with poor outcome in other cancer types (49), as well as resistance to anti-EGFR
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therapies in non-small cell lung cancer and colorectal cancer (50). The clinical implications
of KRAS mutations in HPV-positive tumors are currently unknown.
FGFR2 and FGFR3 mutations have been identified among 17.6% of HPV-positive tumors.
FGFR2 mutations include N569D and N569K mutations, and FGFR3 has primarily S249C
mutations. Both FGFR2 N569K and FGFR3 S249C have been described in several cancer
types, and are sensitive to FGFR inhibitors (51, 52). FGFR-TACC3 fusions, previously
identified in glioblastoma (53) and bladder cancer (54), have also been identified in HPVpositive HNSCC.
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In addition, TNF-receptor associated factor 3 gene (TRAF3) deletions and truncating
mutations have been described in HPV-associated HNSCCs (20). TRAF3 is involved in
innate and adaptive antiviral responses. Loss of TRAF3 promotes aberrant NF-kB signaling,
and has been associated with hematologic malignancies and nasopharyngeal carcinomas (55,
56). Other immune response genes (i.e. HLA-A, HLA-B) were also altered in HNSCC (21).
Furthermore, genes involved in DNA-repair (BRCA1, BRCA2, ATM, FANCG, FANCA,
FANCD2, RAD51B) are altered in HPV-positive HNSCC (21). Of note, RAD51B has also
been reported as an integration target by multiple studies (22, 24). These alterations,
including RAD51B, have also been described in patients with Fanconi anemia. These are
patients who are at extreme risk of developing squamous cell carcinomas (57, 58).
Alterations in DNA-repair genes have been suggested to contribute to the chemo- and/or
radiosensitivity of HPV-positive tumors (21).
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HPV-positive HNSCC shares many common altered genes and pathways with HPVnegative HNSCC (eg. NOTCH, MLLs, RAS, TP63) (20, 21). Many of these alterations have
also been observed in HPV-positive HNSCC cell lines (23). However, unlike in HPVnegative HNSCC, TP53 and CDKN2A are intact in the majority of HPV-positive HNSCC
(20–23). Table 1 provides an overview of frequently altered genes in HPV-positive
HNSCCs.
Cervical cancer
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A recent study employing whole-exome sequencing and transcriptome sequencing in
cervical carcinomas found a different pattern of recurrent mutations in cervical squamous
cell carcinomas compared to adenocarcinomas (24) (Table 1). Squamous cell carcinomas
were found to have a higher rate of nonsilent mutations than adenocarcinomas (4.2
mutations vs. 1.6 mutations per Mb). Similarly to HPV-associated HNSCC, PIK3CA was
found to be frequently mutated in cervical squamous cell carcinomas. TP53 and PTEN
mutations, which are frequently observed in HPV-negative HNSCC, were also identified in
cervical squamous cell carcinomas. In addition, recurrent mutations were found in EP300,
FBXW7, HLA-B, MAPK1, ERBB2, STK11 (also known as LKB1), and NFE2L2 in squamous
cell carcinomas, and ELF3 and CBFB in adenocarcinomas (Table 1). The majority of these
have been implicated in other cancers as well, for instance EP300 and FBXW7 mutations
have been identified in both endometrial and head and neck cancers (59, 60), STK11 in lung
cancers (61, 62), and ERBB2 in breast (63), gastric, esophageal (64), and lung cancers (65).
Interestingly, as in HNSCC, there were mutations in genes involved in antigen presentation,
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such as HLA-A and beta2-microglobulin, and other immune response genes such IFNγ and
JAK2, suggesting that these alterations may synergize with HPV infection in the
pathogenesis of squamous cell carcinomas (24).
Clinical Perspectives
Next-generation sequencing techniques for determination of HPV status
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HPV-positive oropharyngeal squamous cell carcinoma has a significantly better prognosis
independent of stage at diagnosis compared to HPV-negative oropharyngeal carcinoma (46,
66–71). The latter is primarily associated with heavy tobacco and alcohol exposure. HPV
status in non-oropharyngeal HNSCC, including cancers of the oral cavity, hypopharynx and
larynx, has not been clearly associated with a similar improved prognosis, suggesting that
either HPV may not be playing a major role in pathogenesis of HNSCC outside of the
oropharynx or that other features are more important for prognosis at these anatomic sites
(72–75). Given the relation to prognosis it is essential to correctly identify HPV-positive
cases.
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Multiple methods for determining HPV status are available. Immunohistochemistry for p16
expression is used by many centres as a surrogate marker of HPV infection and a prognostic
biomarker, as it is a simple and inexpensive assay. The gold standard is detection of E6/E7
mRNA, however this may be less sensitive depending on the quality of the clinical sample.
The use of p16 alone may misclassify a small subset of tumors in which HPV is present and
p16 expression has been lost by an independent mechanism. This is of particular relevance
in patients that have both HPV and a positive smoking or alcohol abuse history, as p16 may
be mutated in these patients. The prognosis of this subgroup of patients requires further
examination. Similarly multiple HPV-positive patients (with and without HPV integration)
identified in Parfenov et al. (22) had low expression of or absence of E6/E7 expression, and
these may be misclassified by E6/E7 mRNA detection.
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Next-generation techniques, as described herein, can also detect HPV with high sensitivity
(20–23, 76), and has further been suggested to be useful for studying HPV-variant
epidemiology (76). As these next-generation sequencing methods become increasingly
applied in the clinic it will be important to further define the sensitivity and specificity of
these methods for HPV detection, and to define which are optimal for clinical use. A
discussion of the different methods and their advantages and limitations, as relating to their
clinical use, is provided in a number of recent reviews (77, 78). Restricted gene expression
and mutation profiling for alterations with well-described clinical significance is most
clinically feasible at present. These methods have recently been shown to be applicable also
to paraffin embedded tissue (79) widening the applicability and affordability of these
methods.
Genomic landscape of HPV-associated cancers
The studies discussed in the current review have generated considerable insight into the
genomic landscape of HPV-associated cancers. Nevertheless, the sample size examined to
date remains small for both HNSCC and cervical cancer, and similar studies for other HPVassociated cancers, such as anal, penile and vulvar cancers have yet to be performed. It is
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important to emphasize the heterogeneity of HPV-related tumors at different anatomical
sites with regards to clinical behavior. The genomic landscape of HPV-associated HNSCC
and cervical squamous cell carcinomas described here highlights both similarities and
differences. This is consistent with prior studies on chromosomal alterations (80), gene
expression patterns (81), and expression of miRNA (82) which demonstrate similarities, but
also differences between HPV-positive HNSCC and cervical cancer. Additional studies are
needed to further delineate the heterogeneity of these and other HPV-associated tumor types
at the genomic level.
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Further research is also needed to determine the frequency with which specific alterations
occur in these cancers, the role of these alterations in tumorigenesis, and the clinical
implications of these alterations. Several of the alterations described herein have been
implicated not only in tumor formation, but also in response to therapy, and as such may
serve as prognostic biomarkers. RAD51B, a protein involved in DNA repair, is disrupted by
HPV integration in both HNSCC and cervical cancer. Deficiency of RAD51B has been
shown to sensitize to chemotherapy and radiation therapy in in vitro models (83) and has
been suggested to contribute to the favourable response to therapy of HPV-associated
cancers (21). Overexpression of the oncogene NR4A2, which has also been identified as a
recurrent integration site, has been shown to confer an unfavorable prognosis in colorectal
cancer patients (84). PIK3CA alterations have also been reported as therapeutic biomarkers
in HNSCC (48).
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Several of the genomic alterations identified are therapeutically targetable, such as
mutations in the PI3K pathway in both HNSCC and cervical cancer, FGFR aberrations in
HNSCC and ERBB2 in cervical cancer. Importantly, this could decrease toxicity associated
with chemo-radiation therapies and sequelae associated with these therapies (85). Trials with
PI3K/AKT/mTOR inhibitors are underway in both HNSCC and cervical cancer (86, 87)
(NCT02113878, NCT02051751, NCT01602315, NCT02145312). Interestingly PI3K/mTOR
inhibition has previously been shown to sensitize cancer cells to radiation and chemotherapy
(88–90). The FGFR3 mutation at position 249 and FGFR3-TACC3 fusions identified in a
number of HPV-positive HNSCC cases have shown promising therapeutic response to
FGFR inhibitors in pre-clinical (52) and clinical studies (91, 92). ERBB2 inhibition has wellestablished therapeutic efficacy in HER2 positive breast cancer and clinical trials are
currently underway to consider these agents in cervical cancers with ERBB2 alterations
(NCT02342587). Of note, several of the identified alterations are in tumor suppressor genes,
which remain a challenge in terms of targeted therapy.
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Lastly, it is important to note that prophylactic HPV vaccination is available and approved
for the prevention of anogenital and cervical carcinoma. It remains to be validated for the
prevention of HPV-associated HNSCC, however early studies suggest the vaccine prevents
oral HPV infection (93). Public health strategies to increase vaccination coverage remain the
most cost-effective and beneficial approach for reducing disease burden.
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Conclusions
HPV infection and subsequent viral protein expression creates an environment suitable for
viral replication, whereby keratinocytes are maintained in a proliferative state and the
immune system is down-modulated. This environment is also amenable to accumulation of
genetic alterations and viral integration, and subsequent tumor formation. Integration affects
both the viral genome and the host genome, likely conferring additional neoplastic selective
pressure, by one or more of the following mechanisms: 1) enhanced expression of viral
oncoproteins, 2) alteration of critical cellular genes (leading to increased expression of
oncogenic proteins, decreased expression of tumor suppressor proteins, altered DNA repair
mechanisms, or modulation of the immune system), and 3) changes in global promoter
methylation and transcription.
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Comprehensive characterization of genomic alterations in HPV-associated cancers has
highlighted multiple potential biomarkers and therapeutic targets. However, the number of
HPV-positive tumor samples that have been comprehensively analyzed using genome-wide
studies remains small, and larger patient cohorts will be helpful to further detail integration
events and other HPV-associated genomic alterations, as well as to study the clinical
implications of these aberrations. More detailed studies of the functional impact of
integration on various cellular proteins will be useful in characterizing the cellular pathways
that become deregulated and how this leads to tumor progression. Similarly, further research
is necessary to understand how distinct methylation patterns arise in HPV-integrated
compared to non-HPV-integrated cancers, and the consequences of these patterns on tumor
biology and clinical outcomes. Further research regarding the clinical implications of the
observed genomic alterations will be imperative for accurate stratification of patients to
targeted therapies, radiation therapy and chemotherapy.
Acknowledgments
Grant Support
M. Rusan was supported by an EliteForsk Travel scholarship (Danish Council for Independent Research) and a
PhD scholarship from Aarhus University. P.S. Hammerman was supported by the NCI of the NIH under award
number K08CA163677.
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Figure 1.
Distribution of breakpoints across the HPV genome. The histogram (in red) indicates the
number of tumors with a breakpoint in that particular gene. L2/L1 indicates a region of
overlap between L2 and L1. E7-E1 refers to the area between the E7 and E1 genes, and
likewise for E5-E2. Counts are based on data from the 25 HPV-positive HNSCC primary
tumors with integrations analyzed by Parfenov et al. (22). Please note the HPV16 genome is
depicted here, however three of the tumors had HPV33 and one had HPV35 (the structure of
these is highly similar to HPV16).
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Figure 2.
Integration sites of HPV into the human genome. a) Integration sites in head and neck
squamous cell carcinomas, based on data from the HPV-positive tumors analyzed by
Parfenov et al. (22), and b) Integration sites in cervical carcinomas, based on data from
Ojesina et al. (24). In both panels, integrations into coding regions are represented by red
dots, and noncoding regions by blue dots. If a tumor had multiple insertions at the same
locus it is only represented once in the diagram. Several cases had multiple genes in the
region involved in the integration event:
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PARN, BFAR, PLA2G10
ERBB2, STARD3, TCAP, PNMT, PGAP3, C17orf37, GRB7, IKZF3
c ERBB2, C17orf37, GRB7
d MIRLET7B, MIRLET7BHG, MIRLET7A3, MIR4763
b
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Figure 3.
Mechanisms by which integration may lead to the deregulation of key cellular genes. The
figure highlights mechanisms by which integration of HPV DNA into the host genome may
lead to alteration of critical cellular genes. These include: (1) disruption of a tumor
suppressor gene, (2a) by amplification of an oncogene, or (2b) by enhanced expression of an
oncogene from a viral promoter. Integration may also cause (3) more extensive intra- or
inter-chromosomal rearrangements, resulting in altered expression of multiple genes in the
involved regions.
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Figure 4.
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Signaling pathways deregulated in HPV-associated HNSCC. Red boxes highlight the most
frequently altered components. Pathway alterations include homozygous deletions, focal
amplifications and somatic mutations. Data is based on results from TCGA (20) and Seiwert
and colleagues (21).
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Clin Cancer Res. Author manuscript; available in PMC 2016 May 01.
Rusan et al.
Page 22
Table 1
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Genes with recurrent somatic mutations in HPV-associated HNSCC and cervical
carcinomas
The approximate frequency with which the genes are mutated in HNSCC is based on data from Seiwert et al.
(21) and TCGA (20), and for the cervical carcinomas on data from Ojesina et al. (24).
Gene
Description
Approximate
frequency (%)
HPV-positive HNSCC
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PIK3CA
Phosphatidylinosital-4,5-bisphosphate 3-kinase, catalytic subunit alpha
TRAF3
TNF receptor-associated factor 3
TP63
Tumor protein p63
FGFR3
Fibroblast growth factor receptor 3
MLL3
Lysine (K)-specific methyltransferase 2C
10
MLL2
Lysine (K)-specific methyltransferase 2B
10
FLG
Filaggrin
12
NOTCH1
Notch 1
8–17
DDX3X
DEAD (Asp-Glu-Ala-Asp) box helicase 3, X-linked
8
KRAS
Kirsten rat sarcoma viral oncogene homolog
6
CYLD
Cylindromatosis (turban tumor syndrome)
6
EGFR
Epidermal growth factor receptor
6
PTEN
Phosphatase and tensin homolog
DDR2
Discoidin Domain Receptor 2
22–56
22
28
11–14
6
2–6
Cervical Squamous Cell Carcinoma
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EP300
E1A binding protein p300
16
FBXW7
F-box and WD repeat domain containing 7
15
PIK3CA
Phosphatidylinosital-4,5-bisphosphate 3-kinase, catalytic subunit alpha
14
HLA-B
Major histocompatibility complex, class I, B
9
TP53
Tumor protein p53
9
MAPK1
Mitogen-activated protein kinase 1
8
PTEN
Phosphatase and tensin homologue
6
ERBB2
V-erb-b2 avian erythroblastic leukemia viral oncogene homolog 2
5
STK11
Serine/threonine kinase 11
4
NFE2L2
Nuclear factor, erythroid 2-like 2
4
Cervical Adenocarcinoma
ELF3
E74-like factor 3
13
CBFB
Core binding factor, beta subunit
8
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Clin Cancer Res. Author manuscript; available in PMC 2016 May 01.