Literature DB >> 29109779

Serum Immune Profiling for Early Detection of Cervical Disease.

Radwa Ewaisha1, Gitika Panicker2, Paul Maranian1, Elizabeth R Unger2, Karen S Anderson1.   

Abstract

BACKGROUND: The most recent (2012) worldwide estimates from International Agency for Research on Cancer indicate that approximately 528,000 new cases and 270,000 deaths per year are attributed to cervical cancer worldwide. The disease is preventable with HPV vaccination and with early detection and treatment of pre-invasive cervical intraepithelial neoplasia, CIN. Antibodies (Abs) to HPV proteins are under investigation as potential biomarkers for early detection.
METHODS: To detect circulating HPV-specific IgG Abs, we developed programmable protein arrays (NAPPA) that display the proteomes of two low-risk HPV types (HPV6 and 11) and ten oncogenic high-risk HPV types (HPV16, 18, 31, 33, 35, 39, 45, 51, 52 and 58). Arrays were probed with sera from women with CIN 0/I (n=78), CIN II/III (n=84), or invasive cervical cancer (ICC, n=83).
RESULTS: Abs to any early (E) HPV protein were detected less frequently in women with CIN 0/I (23.7%) than women with CIN II/III (39.0%) and ICC (46.1%, p<0.04). Of the E Abs, anti-E7 Abs were the most frequently detected (6.6%, 19.5%, and 30.3%, respectively). The least frequently detected Abs were E1 and E2-Abs in CIN 0/I (1.3%) and E1-Abs in CIN II/III (1.2%) and ICC (7.9%). HPV16-specific Abs correlated with HPV16 DNA detected in the cervix in 0% of CIN 0/I, 21.2% of CIN II/III, and 45.5% of ICC. A significant number (29 - 73%) of E4, E7, L1, and L2 Abs had cross-reactivity between HPV types.
CONCLUSION: HPV protein arrays provide a valuable high-throughput tool for measuring the breadth, specificity, and heterogeneity of the serologic response to HPV in cervical disease.

Entities:  

Keywords:  Antibodies; HPV; NAPPA; cervical cancer; cervical intraepithelial neoplasia; early detection; protein microarrays; serology

Mesh:

Substances:

Year:  2017        PMID: 29109779      PMCID: PMC5667406          DOI: 10.7150/thno.21098

Source DB:  PubMed          Journal:  Theranostics        ISSN: 1838-7640            Impact factor:   11.556


Introduction

Human papillomaviruses (HPV) are a family of more than 200 closely related viruses with small (8 kb) circular double-stranded genomes. The virus is restricted to epithelial surfaces where it induces a non-lytic cellular proliferation and minimal immunologic response. The estimated number of new cases of cervical cancer worldwide was 528,000 in 2012, with an annual global mortality rate of 270,000 deaths 1, 2. Vaccines preventing infection are highly effective for the prevention of type-specific cervical and anogenital cancer precursors (vaginal, vulvar, anal), may reduce relapse after conization 3, but are not a treatment for pre-existing HPV infection. Vaccines are expected to substantially reduce the burden of HPV-associated cancers. In the US, even with low vaccine coverage, vaccination has resulted in a 64% reduction in the prevalence of types 6, 11, 16, and 18 among females aged 14 to 19 years and 34% decrease among those aged 20- 24 years 4. The epidemiology and natural history of HPV infection has been best characterized in the cervix where precursor lesions are well recognized, using detection of HPV DNA or detection of antibodies (Abs) to HPV as biomarkers of disease pathogenesis 5. Genital HPV is usually acquired shortly after sexual debut, and prevalence is highest in adolescents and young adults 4, 6, 7. Cervical cancer is a rare consequence of this common infection, with ~50% of the cases worldwide caused by the HPV16 type. While high risk (HR) HPV infection is considered necessary for cervical carcinogenesis, additional factors are clearly involved. A small fraction of infected women gradually progress to invasive cancer, following a long, histologically well-defined pre-invasive phase (cervical intraepithelial neoplasia; CIN), ranging from low grade (CIN I) to high grade (CIN II and III) 8. Cervical cancer is preventable because high grade lesions are detectable by clinical, histopathologic, or molecular alterations and can be surgically removed 9. Current clinical practice in the US relies on regular screening with cytology (Pap test) often combined with HR HPV nucleic acid testing to refer women for colposcopy and biopsy. Recent data have documented that cytology screening is associated with a significantly reduced incidence and risk of death from cervical cancer, with odds ratios ranging from 0.28 to 0.60 10, 11, despite a reported high false negative rate 12. Cytologic screening remains subject to sampling errors, problems with cellular preservation, and reader subjectivity. Biomarkers are needed in particular to aid in the selection of patients for colposcopy screening in resource-limited settings in low and middle income countries (LMICs), where nucleic acid and cytology testing are cost-prohibitive. Efforts are underway by the World Health Organization and the Program for Appropriate Technology in Health (PATH) to generate cost-effective HPV DNA testing 13. Measuring the humoral immune response to HPV antigens (Ags) has been integral to understanding the natural history of infection and efficacy of vaccination 8, 14, 15. Despite the potential of HPV serology in disease diagnosis and prognosis, its clinical application has been limited by HPV heterogeneity, assay variability, and viral immune evasion. HPV has a limited repertoire of proteins, grouped as early (E1, E2, E4, E5, E6, E7) and late (L1, L2) proteins. The late proteins form the viral protein coat during productive infections. The early proteins interact with host and viral proteins to maintain viral replication. The serologic response to genital HPV infection is primarily directed at conformational epitopes on the viral major capsid protein L1. As the infection is non-lytic, the host Ab response to L1 is weak and may persist for years, as an indication of past infection but not malignancy 16, 17. Although anti-L1 Abs are an indication of past infection, only 50 - 70% of infected women seroconvert 18, 19. Abs to both HPV16 E6 and E7 proteins have been detected at low levels in both serum and cervical-vaginal secretions of invasive cervical cancer (ICC) patients 20. Their levels increase with cervical disease progression but they are not detectable in a subset of patients with cervical cancer 16, 21-23. They develop later in the course of ICC, and are correlated with disease outcome 21, 24, 25. Studies of sera collected prior to the diagnosis of cervical cancer have shown that the presence of E6 and E7-specific Abs is associated with an increased relative risk (RR=2.7) for cervical cancer, and can be detected, albeit infrequently, up to 5 years prior to diagnosis 26. The percentage of women with false negative serology is dependent on the method of Ab detection 16, 27-31. The diverse array of oncogenic HPV types and the technical limitations of high throughput protein expression and display have been impediments to HPV immune profiling and most research has focused on select Ags from the most common viral types 16, 21, 28. Nucleic Acid Programmable Protein Arrays (NAPPA) 32, 33 have enabled rapid profiling of the serum Ab response in the settings of infections 34, 35, autoimmune diseases 36, 37 and cancer 38-40. To measure the serologic responses across multiple HPV types, we adapted NAPPA for the detection of HPV-specific IgG Abs in sera 41. Full length cDNAs encoding the proteomes of 12 HPV types are expressed as C-terminal GST fusion proteins using mammalian in vitro transcription/translation, and captured onto a glass slide surface 42. In a pilot study, we demonstrated that HPV protein arrays display immunogenic epitopes that can be detected using HPV-specific monoclonal Abs (MAbs) and with select sera from HPV-specific malignancies 41. The purpose of this study was to systematically investigate the serologic immune profile to HPV in women with high-grade pre-invasive cervical lesions and ICC, and to identify serologic biomarkers for diagnosis and early detection of cervical cancer.

Materials and methods

Sample selection

We used the Biorepository for Molecular Signatures of Cervical Cancer developed by the Centers for Disease Control and Prevention as a Clinical Epidemiology and Validation Center for NCI's Early Detection Research Network (EDRN). Samples in the biorepository were collected from women attending colposcopy clinics at urban public hospitals in Atlanta, GA, Detroit, MI, or Galveston, TX between 2000 and 2010 and linked to epidemiologic and clinical data, including HPV detected in exfoliated cervical cells, age, race, and tissue confirmation of cervical disease status 43. For this study, 162 samples from women with cervical intraepithelial neoplasia (CIN) grade 0 (no CIN), I, II, III were selected, of which 78 were CIN 0/I and 84 were CIN II/III. We used 83 archived anonymized plasma samples from women with ICC collected in Atlanta, GA prior to 1997. For convenience, the term serum is used throughout the manuscript. While HPV vaccine history was not collected, HPV vaccination was not introduced before 2006, and it is unlikely that any study participants were vaccinated. Only a subset (n=51) of the ICC samples had information on the HPV DNA status of the tumor, of which 24 (47.1%) were HPV16+. Samples were collected using a standardized sample collection protocol and stored at -80°C until use. Written informed consent was obtained from all subjects under institutional review board approval.

HPV microarray generation and detection of serum antibodies

Production of custom HPV protein arrays and array quality control experiments were performed as previously reported 41 with modifications described here. In brief, arrays displaying codon-optimized proteomes of 2 low risk (HPV6 and 11) and 10 high risk (HPV16, 18, 31, 33, 35, 39, 45, 51, 52, and 58) HPV types were generated. The codon-optimized HPV16 L1 gene previously used 41 was replaced with the non-codon-optimized version, which had higher protein expression. Both codon-optimized and non-optimized HPV16 E6 and E7 were printed on the arrays for direct comparison of Ab reactivity. Since only the non-codon optimized HPV16 E6 and HPV16 E7 41 showed immunoreactivity, only those results are shown. All non-codon-optimized genes were obtained by nested PCR using gene-specific primers from HPV16 plasmid DNA (American Type Culture Collection, Manassas, VA) as described 44. All genes were inserted into pDONR221 vector per manufacturer's instructions (Invitrogen, Carlsbad, CA), and were converted to the pANT7_cGST vector (http://dnasu.asu.edu/DNASU/Home.jsp)32. Human IgG and the C-terminal portion of the Epstein-Barr virus-derived Ag EBNA-1 were used as positive controls. A set of non-HPV related negative control proteins (n=93) were printed on the arrays and used for array signal intensity normalization and establishment of cut-off values. Arrays were incubated with serum samples diluted 1:50 in 10% E. coli lysate prepared in 5% milk-PBST (0.2% tween) 45 and serum Ab detection was performed as previously described 38, 41, 44, 46.

Protein array image analysis and quantification

After serum binding and IgG detection, arrays were scanned by Tecan PowerScanner (Tecan Group, Männedorf, Switzerland). ArrayPro Analyzer version 6.3 (MediaCybernetics, Bethesda, MD) was used to measure the signal intensity of individual spots on the scanned slides. Normalization of raw intensity values was performed by subtracting the slide background signal and dividing by the background signal subtracted from the median intensity of all spots. The slide background signal was determined by the first quartile of signal intensity of the no-DNA control spots (all material except DNA). In addition, array images were qualitatively inspected to identify and confirm positive responses by adjusting raw images to extreme brightness and contrast using ArrayPro Analyzer and visual analysis of diffused signal (ring) as described previously 34, 40. Each spot was scored based on the intensity and morphology of the ring on a scale of 0 to 5.

HPV DNA detection by L1 consensus PCR

For all the samples from the biorepository, HPV DNA was detected in extracts of exfoliated cervical cells collected in PreservCyt media as previously described 43. Briefly, 16 ml of the PreservCyt collection media was extracted using MasterPure Complete DNA and RNA purification kit (Epicentre, Madison, WI). HPV detection and typing was performed using the Roche linear array that detects 37 types. HPV results for the anonymized archived cervical cancer cases (n=83) were based on combined results of colorimetric ISH for HPV16, 18, 31, 33, 35 on formalin-fixed paraffin embedded tissue sections and L1 consensus PCR with MY09/11 primers and type-specific hybridization to 6 HR types (16, 18, 31, 33, 35, 45) on DNA extracts from the same tissues (methods in use at the time of archiving 47).

Statistical analysis

The correlation of raw signal intensities of protein expression between the arrays randomly selected for quality control was determined with scatter plots and the Pearson correlation coefficient (R) was calculated to assess consistency. Levels of protein expression on the arrays were measured by calculating the mean values of raw signal intensities of duplicate spots from two arrays. For serum Ab reactivity on protein arrays, mean values (of duplicate spots for a given Ag) of normalized signal intensity were compared for different disease groups using Fisher's exact test (Graphpad Prism version 5.0c, San Diego, CA). A p-value of <0.05 was considered significant. Seropositivity for any given Ag was defined as the median of normalized signal intensity values of all negative control proteins (n=93) in all sera (n=234) +3 standard deviations or spots that were positive by visual analysis. A total of 245 serum samples were tested on the arrays, of which 11 (4.5%; n=7 ICC, n=4 CIN) were excluded from the analysis due to high background. High array background was defined as an array with normalized signal intensity values for ≥14 out of 93 negative control spots exceeding the 75th percentile + 1.5*interquartile range of this negative control protein across all arrays.

Results

Characteristics of study samples

Our primary goal was to determine the prevalence and specificity of HPV-specific Ab responses in women with cervical cancer precursors and with ICC. Age, race, and HPV DNA status of patients contributing samples to the study are shown in Table . Ab levels were compared in women with CIN 0/I (n=78) and CIN II/III (n=84) who were referred to colposcopy because of abnormalities in cervical cancer screening, and in women with ICC (n=83). Women with CIN 0/I were chosen as the relevant control population to determine the utility of these biomarkers within a high-risk population. As expected, women with CIN 0/I had a lower frequency of cervical high-risk (HR) HPV than women with CIN II/III (57.7% vs. 97.6%, p<0.0001). Infection with 2 or more HPV types was detected in more than 35% of women in both CIN 0/I and CIN II/III (Table ). Women with CIN II/III were as expected significantly younger than women with ICC (mean 30.0 yrs vs. 52.0 yrs, p<0.0001). There was also a lower frequency (p<0.0015) of HPV16 in CIN 0/I (19.2%) than CIN II/III (63.1%) and ICC (47.1%). The clinics participating in the EDRN study had a high proportion of minority and Hispanic white patients. The racial distribution of the samples occurred by chance.

Production and reproducibility of NAPPA HPV protein arrays

The quality and reproducibility of the array printing were evaluated by picogreen staining of DNA and measuring protein expression with anti-GST Abs (Supplemental Figure ). Three arrays were printed on each slide and the correlation coefficients of anti-GST signal intensities were determined for intra-array (R=0.98) and intra-batch replicate arrays (R=0.90) from two subarrays on the same slide or two randomly selected slides within the print batch (Supplemental Figure ).

HPV-specific antibody prevalence

There was no significant difference (p=0.46) in the percentages of negative control spots (displaying the non-HPV related proteins; n=93) that exceeded the cut-off value between arrays probed with CIN 0/I (0.71%), CIN II/III (0.81%), and ICC (1.77%) sera. The prevalence of HPV-specific serum IgG Abs among women with CIN 0/I, CIN II/III, and ICC is summarized in Table . At least one of the HPV-specific Abs was detected in serum from women with CIN 0/I (46.1%), CIN II/III (59.8%), and ICC (68.4%). Abs to any early (E) HPV protein were detected more frequently in women with ICC (46.1%) and CIN II/III (39.0%) than women with CIN 0/I (23.7%, p<0.04). Abs to any L1 protein had the highest prevalence (28.9%, 34.1%, and 44.7% in CIN 0/I, CIN II/III, and ICC, respectively). Of the E Abs, anti-E7 Abs were the most frequently detected (CIN 0/I, 6.6%; CIN II/III, 19.5%; and ICC, 30.3%). The least frequently detected Abs were E1 and E2-Abs in CIN 0/I (1.3%) and E1-Abs in CIN II/III (1.2%) and ICC (7.9%). The sensitivity [proportion of cases with at least one HPV Ag-specific Ab detected] was comparable when restricted to cases known to have HPV16 (as opposed to any other oncogenic HPV) DNA detected; 59.6% vs 59.8% for CIN II/III and 81.8% vs 68.4% for ICC, (p-value N.S.). Among all women (irrespective of HPV DNA status), Abs to HPV16 Ags were detected in only 6.6%, 19.5%, and 35.5% in CIN 0/I, CIN II/III, and ICC, demonstrating the importance of multi-antigenic immunoprofiling.

Type-specific antibody response

To determine whether patients with a specific HPV infection develop type-specific Abs, there are multiple challenges. First, a significant number of women with CIN have multiple HPV types detected (33.3% of CIN 0/I and 42.8% of CIN II/III, Table ), and past exposure to other HPV types cannot be excluded. Second, there is likely serologic cross-reactivity across HPV types. Figure shows Abs from an ICC patient reacting with E4 protein from 4 different HPV types (16, 31, 35, and 45). As examples, Figures show serum from two women with CIN II/III with HPV16 DNA and Abs against HPV16 E4 and HPV52 E4 (B) and HPV 58 E4 (C). To determine whether there is any correlation between HPV DNA types detected in the patient and type-specific serum Abs, we analyzed the data in two ways. In Table , subjects were stratified based on cervical HPV DNA status. For example, among women with successful Ab testing, cervical HPV16 DNA was detected in 18.4% of those with CIN 0/I; 63.4% of CIN II/III; and 46.8% of ICC. The type-specific Ab detection rate in this group was 0%, 21.2%, and 45.5% for CIN 0/I, CIN II/III and ICC. For the most common HPV DNA detected in cervical samples in CIN II/III, HPV16, 31, 35, and 52, the range of detection of type-specific Abs was 8.3 - 25.0%. In Table , subjects were stratified by type-specific seropositivity to evaluate the proportion with detection of type-specific HPV DNA in the cervix. Women with HPV16 Abs and CIN II/III had the highest type-specific DNA detection, 78.6%, followed by HPV31 (36.4%), 45 (25.0%), and 52 (14.2%).

Cross-reactivity of serologic responses

We determined the prevalence of Abs against homologous Ags (i.e. all E7 Ags) from more than one HPV type in all sera (n=234) from the three cervical disease groups under investigation (Table ). Abs against L2 were the most cross-reactive, while anti-E1 Abs were the least cross-reactive. Of sera that had Abs against any L2 Ag, 57.7% were positive for L2 from at least 6 HPV types. For E1, all 8 women who had specific Abs were positive for E1 from only one HPV type. 8.1% of all women had Abs to E7 from at least 2 HPV types. The percentages of sera with cross-reactive Abs to at least one other HPV type were as follows: E2 (6.3%), E4 (29.0%), E5 (14.3%), E6 (17.4%), E7 (43.2%), L1 (39.3%), and L2 (73.1%).

Discussion

There is a clinical need for circulating biomarkers that identify high-risk HPV infection for early detection and treatment of cervical disease. Here, we have used our custom HPV protein microarrays, displaying the proteomes of two low-risk and ten high-risk HPV types, to characterize the diversity of the immune response in cervical cancer and in pre-invasive cervical disease. We find that 20 - 46% of patients with CIN and ICC have a broad range of Abs to HPV early proteins in their sera and these biomarkers correlate with disease severity. Up to 80% of patients with HPV-associated oropharyngeal cancer (HPVOPC) have detectable serum HPV16 Abs to E Ags 48-50. Abs against the oncogenic proteins E6 and E7 are also highly specific to ICC. As a result, most cervical cancer studies have focused on E6, E7, and L1 Abs from HPV16 and 18 21, 22, 27, 31. In the only previous study of Abs to entire HPV proteomes using slide-based protein microarrays, high levels of Abs were detected against E7 but not E6 or L1 in ICC sera, possibly due to the difficulty of expressing larger-sized proteins 16. In that study and others 21, 23, 26, no significant difference in Ab response between CIN II/III and asymptomatic controls was detected. While L-specific Abs were detected in serum from women in all three groups of cervical disease in our study, Abs against any E protein were, as expected, more prevalent in ICC and CIN II/III than women with CIN 0/I. Anti-E7 Abs were the most frequently detected E-Abs, and our data of E7-specific Abs in ICC is consistent with previous studies. Using ELISA 25, 27, 51 and Luminex bead arrays 22, 52, 53, anti-E7 Abs were detected in 13 - 53% of women with ICC and in ~60% of ICC (and 10% of healthy controls) using protein microarrays 16. As cervical disease progresses towards malignancy, infectious viral particle production becomes limited to a small area near the surface of the cervical epithelium 54, 55. E4 plays a role in viral synthesis and possibly viral release 56. The expression of E4 in CIN II and III is restricted to this subset of cells and is generally lost in ICC 54. Expression of E4 protein in tissue has been proposed as an early detection marker 55 but specific serum Abs may provide a more convenient detection method. Our data show that E4-specific Abs develop early in disease progression, with 16 - 17% prevalence in both CIN II/III and ICC. Anti-E4 Abs have been reported in sera from women with CIN II/III (34%) and ICC (29%) 57, which is consistent with our findings and the predicted level of E4 expression especially in CIN II/III. Viral integration into the host genome, with loss of E2 expression, is a frequent hallmark of HPV-associated cancers, leading to derepression of E6 and E7 expression. Since E2 Ag is expressed in CIN II/III 58, we predicted that E2 Abs would also be detected early in CIN II/III. E2-specific Abs were detected in both CIN II/III (4.9%) and at higher (p<0.05) frequency in ICC (14.5%) but were at low prevalence. E2-specific IgG Abs have been reported in 24% of women with CIN I-III (compared to 13% of healthy controls) 59 and in 12% of women with ICC (compared to 2% of healthy controls) 28, consistent with our data. Since the majority (64%) of patients with HPVOPC have Abs against HPV16 E2 48, 49, our data suggest that these two tumor sites may have significant differences in viral integration and expression of E2 Ag, or exposure of E2 Ag to B cells. In cervical disease, E1 Abs have been reported to have a low prevalence (10% and 0.3% in ICC and healthy controls, respectively) 28. We also found an overall low prevalence of anti-E1 Abs in cervical disease, as opposed to a 60% prevalence in HPVOPCs 48, 49. Only a few studies have investigated the immune response against multiple HPV types 16, 21, 28, 31. Only one study displayed multiple HPV proteomes on protein arrays 16 and the others have used glutathione S-transferase-based multiplex serology to evaluate serum Abs against only E6, E7, and L1 Ags from multiple HPV types 28, 31. The question of cross-reactivity of Abs against Ags from closely-related viral types has therefore not been adequately addressed. We and others have previously demonstrated that MAbs raised against specific HPV proteins may cross-react with homologous proteins from different HPV types due to sequence similarity 16, 41. Here, we detected cross-reactive Abs including against the E4 Ag. The E4 ORF is the most divergent between HPV types 60. The range of amino acid sequence similarity between E4 from the non-HPV16 types detected in the 3 sample sera illustrated in Figure and HPV16 E4 is 42 - 59%. It is therefore not known if Abs to multiple homologous E4 proteins reflect cross-reactivity with conserved epitopes or prior multiple HPV infections. We also observed Abs against L2 from at least 6 HPV types in 57.7% of women who had L2-specific Abs (Table ), which likely indicates cross-reactivity, given the high (46 - 63%) sequence conservation of the L2 protein, and the interest in developing it as a vaccine 61. Abs against L1 from three or more HPV types were also detected in 19% of women positive for L1 Abs. This is consistent with previously reported L1 cross-reactivity detected by an HPV16 L1-specific MAb 16. Overall, these data suggest that these HPV arrays will have limited utility as surrogate markers for HPV typing. While not directly compared in this study, the signal intensity of Ab binding on the arrays 41 and on RAPID ELISA 48, 49 are consistently weaker in cervical disease than in HPVOPC (unpublished observations). Additionally, despite tissue expression of the oncoproteins E6 and E7 in ICC, we and others 16, 22, 23 have reported specific serum Abs in less than half of the patients, while they are detected in up to 75% of HPVOPC cases 48. Anti-E6 Abs have been detected in HPVOPC and cervical cancer cases years prior to the establishment of a clinical diagnosis 26, 50, suggesting these may be useful for early detection. The Ab response to the E proteins in high grade pre-invasive cervical lesions, however, has been difficult to detect in previous studies 16, 23, 26. Even though we detect E-specific Abs in a subset of CIN II/III, the frequencies are low. The presence of both viral DNA and viral oncoproteins in HPVOPC tumors suggest that both cancer sites have similar pathogenetic mechanisms 62. Therefore, it is likely that the close proximity of lymphoid tissue in the tonsils results in a more potent immune induction in HPVOPC compared with cervical disease. The lack of infrastructure and resources in LMICs hampers large-scale implementation of Pap test screening 29, 63, 64. In low-resource environments, visual examination with acetic acid (VIA) is an inexpensive alternative 65. It results in a 25% reduction in cervical cancer incidence and a 35% reduction in cervical cancer mortality after a single screen 65, 66, with significant downstaging of cervical cancers 66. However, VIA has low sensitivity in women older than 50 years, poor reproducibility between operators and it requires continuous training and supervision. The absence of HPV nucleic acid in the cervix is a good negative predictor of cervical disease but HPV testing is not recommended for women <30 years old because transient infection reduces specificity 9, 67. In pooled analyses, HPV testing is more sensitive (90 - 95% for CIN II/III) than cervical cytology alone or VIA but lacks the specificity (89%) for a reliable biomarker 67. To date, there are no established tissue, blood, or vaginal biomarkers other than HPV nucleic acid and cytology for CIN II/III in high risk patients. Biomarkers such as serology that identify high-risk HPV infection and invasive cervical cancers (ICC) could have an impact on the screening, detection, and treatment of cervical disease. Supplementary figure 1. Click here for additional data file.
Table 1

Characteristics of Study Samples.

CharacteristicsDisease Status
CIN 0/IN = 78CIN II/IIIN = 84ICCN = 83
N (%)N (%)N (%)*
Age in yrs, Mean28.7 30.0 52.0
< 3051 (65.3)45 (53.6)3/79 (3.8)
≥ 3027 (34.6)39 (46.4)76/79 (96.2)
Race
Black71 (91.0)55 (65.5)64/79 (81.0)
Other7 (9.0)29 (34.5)15/79 (19.0)
HPV16 DNA status
HPV16+15 (19.2)53 (63.1)24/51 (47.1)
HPV DNA status overall
Negative23 (29.5)2 (2.4)12/51 (23.5)
1 HPV type29 (37.2)46 (54.8)39/51 (76.5)
2 HPV types10 (12.8)19 (22.6)0/51 (0)
≥ 3 HPV types16 (20.5)17 (20.2)0/51 (0)
Any HR HPV45 (57.7)82 (97.6)39/51 (76.5)

*N varies for each category because of missing information. The numbers of samples are shown.

†HPV testing methods used for anonymized archived samples differed from those used in biorepository, so results are not directly comparable.

‡The following HPV types were considered as high-risk types for this analysis -HPV16, 18, 31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68

Table 2

Prevalence of positive antibody response (1) to each HPV protein from any HPV type (2).

No. + (%)
CIN 0/ICIN II/IIIICCTotal
TotalHPV16+(3)TotalHPV16+(3)TotalHPV16+(3)
HPV AntibodiesN=76N=14N=82N=52N=76N=22(4)
E11 (1.3)0 (0)1 (1.2)0 (0)6 (7.9)*1 (4.5)8 (3.4)
E21 (1.3)0 (0)4 (4.9)1 (1.9)11 (14.5)5 (22.7)16 (6.8)
E45 (6.6)0 (0)14 (17.1)5 (9.6)12 (15.8)4 (18.2)31 (13.2)
E55 (6.6)1 (7.1)4 (4.9)3 (5.8)12 (15.8)6 (27.3)21 (9.0)
E63 (3.9)0 (0)8 (9.8)5 (9.6)12 (15.8)*5 (22.7)23 (9.8)
E75 (6.6)0 (0)16 (19.5)*10 (19.2)23(30.3)*8 (36.4)*44 (18.8)
Any E (2)18 (23.7)2 (14.3)32 (39.0)*19 (36.5)35 (46.1)*15 (68.2)*85 (36.3)
L122 (28.9)4 (28.6)28 (34.1)16 (30.8)34 (44.7)12 (54.5)84 (35.9)
L28 (10.5)0 (0)5 (6.1)5 (9.6)13 (17.1)6 (27.3)26 (11.1)
Any L (2)25 (32.9)4 (28.6)32 (39.0)20 (38.5)38 (50.0)14 (63.6)*95 (40.6)
Any E and/or L(2)35 (46.1)4 (28.6)49 (59.8)31 (59.6)52 (68.4)*18 (81.8)*136 (58.1)
Any HPV16 Ag5 (6.6)0 (0)16 (19.5)*11 (21.2)27 (35.5)*10 (45.5)*48 (20.5)

(1) Cut-off values defined as the median of normalized signal intensity values of all negative control proteins +3 standard deviations in all sera (n=234) or spots that were positive by visual analysis.

(2) Any positive vs. all negative from any of the 12 HPV types tested.

(3) HPV16 DNA detected in cervix. HPV testing methods used for anonymized archived samples differed from those used in biorepository.

(4) HPV DNA status was known for only a subset (n=51) of the ICC samples.

* p<0.05, compared with CIN 0/I

Table 3A

Prevalence of HPV type-specific IgG Abs in women with known cervical HPV DNA status.

HPV DNA in cervixNo. + (%)
Total Number(1)CIN 0/IN=76CIN II/IIIN=82ICCN=47(2)
TotalAb+(3)TotalAb+(3)TotalAb+(3)
HPV631 (1.3)0 (0)2 (2.4)0 (0)0 (0)0 (0)
1121 (1.3)0 (0)1 (1.2)0 (0)0 (0)0 (0)
168814 (18.4)0 (0)52 (63.4)11 (21.2)22 (46.8)10 (45.5)
18163 (3.9)1 (33.3)5 (6.1)1 (20.0)8 (17.0)2 (25.0)
31202 (2.6)0 (0)16 (19.5)4 (25.0)2 (4.3)0 (0)
33102 (2.6)0 (0)5 (6.1)0 (0)3 (6.4)1 (33.3)
35165 (6.6)2 (40.0)10 (12.2)2 (20.0)1 (2.1)1 (100.0)
3953 (3.9)1 (33.3)2 (2.4)1 (50.0)0 (0)0 (0)
45105 (6.6)1 (20.0)5 (6.1)1 (20.0)0 (0)0 (0)
5174 (5.3)1 (25.0)2 (2.4)0 (0)1 (2.1)0 (0)
52219 (11.8)1 (11.1)12 (14.6)1 (8.3)0 (0)0 (0)
581410 (13.2)1 (10.0)3 (3.7)0 (0)1 (2.1)0 (0)
Table 3B

Prevalence of type-specific HPV DNA in women with known seropositivity.

HPV -specific AbsTotal Number(4)No. + (%)
CIN 0/IN=76CIN II/IIIN=82ICCN=76(2)
TotalDNA+(5)TotalDNA+(5)TotalDNA+(5)
HPV6244 (5.3)0 (0)10 (12.2)0 (0)10 (13.2)0 (0)
11255 (6.6)0 (0)8 (9.8)0 (0)12 (15.8)0 (0)
16465 (6.6)0 (0)14 (17.1)11 (78.6)27 (35.5)10 (37.0)
185011 (14.5)1 (9.0)15 (18.3)1 (6.7)24 (31.6)2 (8.3)
31375 (6.6)0 (0)11 (13.4)4 (36.4)21 (27.6)0 (0)
335814 (18.4)0 (0)18 (22.0)0 (0)26 (34.2)1 (3.8)
357821 (27.6)2 (9.5)19 (23.2)2 (10.5)38 (50.0)1 (2.6)
395110 (13.2)1 (10.0)20 (24.4)1 (5.0)21 (27.6)0 (0)
45265 (6.6)1 (20.0)4 (4.9)1 (25.0)17 (22.4)0 (0)
51245 (6.6)1 (20.0)6 (7.3)0 (0)13 (17.1)0 (0)
52315 (6.6)1 (20.0)7 (8.5)1 (14.2)19 (25.0)0 (0)
58184 (5.3)1 (25.0)5 (6.1)0 (0)9 (11.8)0 (0)

(1) of women with the corresponding HPV DNA type in the cervix.

(2) The ICC samples with unknown tumor DNA status were excluded from the analysis in table 3A.

(3) Positive for any Ab specific to the given HPV type.

(4) of women with serum Abs to any Ag of the corresponding HPV type.

(5) Type-specific HPV DNA positive.

Table 4

Prevalence of serum Abs to homologous Ags from different HPV types.

Homologous Abs(1)E1E2E4E5E6E7L1L2
No. 0173110173
=2% of total(2) 0.00.43.01.30.44.37.31.3
% of positive(3)0.06.322.614.34.322.720.211.5
No. 00103991
=3% of total(2) 0.00.00.40.01.33.83.80.4
% of positive(3)0.00.03.20.013.020.510.73.8
No. 00100330
=4% of total(2) 0.00.00.40.00.01.31.30.0
% of positive(3)0.00.03.20.00.06.83.60.0
No. 00000020
=5% of total(2)0.00.00.00.00.00.00.90.0
% of positive(3)0.00.00.00.00.00.02.40.0
No. 000001215
≥6% of total(2) 0.00.00.00.00.00.40.96.4
% of positive(3)0.00.00.00.00.02.32.457.7

(1) Number of homologous Ags from different HPV types to which Abs were detected in sera from all three disease groups (n=234).

(2) Percentage of women who had Abs to a given Ag from one or more HPV types over the total number of women.

(3) Percentage of women who had Abs to a given Ag from multiple HPV types over the number of women who had Abs to this Ag from at least one HPV type.

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Journal:  Int J Cancer       Date:  2000-02-01       Impact factor: 7.396

2.  Immunologic responses following administration of a vaccine targeting human papillomavirus Types 6, 11, 16, and 18.

Authors:  Luisa L Villa; Kevin A Ault; Anna R Giuliano; Ronaldo L R Costa; Carlos A Petta; Rosires P Andrade; Darron R Brown; Alex Ferenczy; Diane M Harper; Laura A Koutsky; Robert J Kurman; Matti Lehtinen; Christian Malm; Sven-Eric Olsson; Brigitte M Ronnett; Finn Egil Skjeldestad; Margareta Steinwall; Mark H Stoler; Cosette M Wheeler; Frank J Taddeo; Jimmy Yu; Lisa Lupinacci; Radha Railkar; Rocio Marchese; Mark T Esser; Janine Bryan; Kathrin U Jansen; Heather L Sings; Gretchen M Tamms; Alfred J Saah; Eliav Barr
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3.  Is vaccination with quadrivalent HPV vaccine after loop electrosurgical excision procedure effective in preventing recurrence in patients with high-grade cervical intraepithelial neoplasia (CIN2-3)?

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4.  Plasma Autoantibodies Associated with Basal-like Breast Cancers.

Authors:  Jie Wang; Jonine D Figueroa; Garrick Wallstrom; Kristi Barker; Jin G Park; Gokhan Demirkan; Jolanta Lissowska; Karen S Anderson; Ji Qiu; Joshua LaBaer
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5.  Association between cervical screening and prevention of invasive cervical cancer in Ontario: a population-based case-control study.

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6.  Age distribution of antibodies to human papillomavirus in children, women with cervical intraepithelial neoplasia and blood donors from South Africa.

Authors:  D Marais; R C Rose; A L Williamson
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7.  Detection of human papillomavirus in archival tissues. Comparison of in situ hybridization and polymerase chain reaction.

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8.  Self-assembling protein microarrays.

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  7 in total

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Review 2.  Addressing cervical cancer screening disparities through advances in artificial intelligence and nanotechnologies for cellular profiling.

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