Prospective study of human polyomaviruses and risk of cutaneous squamous cell carcinoma in the United States

Abstract

Background

Merkel cell polyomavirus (PyV) is causally related to Merkel cell carcinoma, a rare skin malignancy. Little is known about the serostability of other PyVs over time, or associations with cutaneous squamous cell carcinoma (SCC).

Methods

As part of a US nested case-control study, antibody response against the PyV VP1 capsid proteins of BK and JC was measured using multiplex serology on 113 SCC cases and 229 gender, age, and study center-matched controls who had a prior keratinocyte cancer. Repeated serum samples from controls, and both pre- and post-diagnosis samples from a subset of SCC cases were also tested. Odds ratios (OR) for SCC associated with seropositivity to each PyV type were estimated using conditional logistic regression.

Results

Among controls, BK and JC seroreactivity was stable over time, with intraclass correlation coefficients of 0.86 for BK and 0.94 for JC. Among cases, there was little evidence of seroconversion following SCC diagnosis. JC seropositivity prior to diagnosis was associated with an elevated risk of SCC (OR=2.54, 95% CI: 1.23–5.25), and SCC risk increased with increasing quartiles of JC (P-for-trend=0.004) and BK (P-for-trend=0.02) seroreactivity.

Conclusions

PyV antibody levels were stable over time and following an SCC diagnosis. A history of PyV infection may be involved in the occurrence of SCC in a population at high risk for this malignancy.

Impact

A single measure of PyV seroreactivity appears a reliable indicator of long-term antibody status, and PyV exposure may be a risk factor for subsequent SCC.

INTRODUCTION

The human polyomavirus (PyV) is a non-enveloped virus with an icosahedral capsid containing a circular double-stranded DNA genome (1, 2). The genome of the Polyomaviridae family encodes three capsid proteins (VP1, VP2, VP3), as well as small and large T antigens (TAg) (1, 3). The large TAg (LTAg) has oncogenic potential (1, 4, 5), but there is limited support for carcinogenesis in humans.

PyV infection rates vary between populations and viral types, and seroprevalence usually increases with age (6–11). Little is known about intraindividual PyV antibody stability over time in the general population (12), but repeated measures of PyV seroreactivity collected from individuals with a compromised immune system (13–20) suggest antibody levels may be consistent longitudinally.

PyV infections are ubiquitous within human populations (21). Among immunosuppressed patients, BK virus is the etiologic agent of polyomavirus-associated nephropathy and cystitis (22, 23), and John Cunningham virus (JC) reactivation has been linked to progressive multifocal leukoencephalopathy (22, 23). Merkel cell polyomavirus (MCV) containing mutations in LTAg (24) has been established as a causal factor for Merkel cell carcinoma (MCC) – a rare but aggressive skin cancer (25–27).

Cutaneous squamous cell carcinoma (SCC) arises from epithelial keratinocytes (28), and is a common malignancy with increasing incidence rates reported in the United States (29–33). SCC etiology is largely attributed to ultraviolet radiation (34, 35), but other risk factors including immunosuppression (36–38) raise the possibility of a viral etiology. An oncogenic role for PyV infection in the development of SCC has been hypothesized in recent epidemiologic studies (39). A clinic-based case-control study from Florida, USA, found an increased SCC risk associated with antibodies against MCV assessed at the time of diagnosis (39). Conversely, a case-control study conducted among organ transplant recipients found no association between SCC development following transplant surgery and seropositivity to multiple PyV types prior to transplantation (40). There are limited prospective studies assessing whether past virus exposure predicts risk of future SCC development.

Therefore, using data and stored serum samples from patients with a prior history of keratinocyte cancer (KC) enlisted in a USA skin cancer prevention trial, we performed a longitudinal analysis of the presence and stability of antibodies against human PyV types BK and JC, and conducted a nested case-control study to investigate the role of polyomaviruses on subsequent SCC incidence.

MATERIALS AND METHODS

Patient population and parent study design

We derived our study group from the Skin Cancer Prevention Study – a multicenter, randomized clinical trial conducted in the United States from 1980 to 1989 to test the efficacy of oral β-carotene supplementation in the prevention of KC among persons with a prior history of this malignancy (41, 42) (Supplemental Figure 1). The trial methods and study participants have been described in detail elsewhere (41–43). Briefly, patients were 35–<85 years of age and had had at least one biopsy-proven SCC or basal cell carcinoma (BCC) removed since January 1, 1980. Of the 5,232 potentially eligible patients identified through a review of dermatopathology reports in the four clinical centers, 1,805 (34.5%) fulfilled the trial criteria, and were subsequently enrolled for randomization to receive either β-carotene or a placebo.

Upon entry to the trial, patients completed a questionnaire regarding individual characteristics, including age, hair and eye color, cigarette smoking, sun exposure, and medical history (e.g., vitamin use). A dermatological evaluation determined each patients’ skin type (i.e., tendency to sunburn, extent of solar damage), and the histological type and number of previous KC diagnoses was documented from patients’ medical records.

Follow-up consisted of an interval questionnaire mailed every 4 months. A dermatological examination was conducted at enrollment and annually thereafter, during which a 20 mL blood specimen was collected and stored in heparinized vacuum tubes at −75°C until analysis. The appearance of new, primary skin cancers was monitored, and microscopic slides of suspected cancerous lesions were re-reviewed by a dermatopathologist at the study coordinating center for independent validation. The primary trial end point was the first occurrence of a new basal or squamous cell carcinoma after randomization. Follow-up for each patient continued for 5 years or until September 30, 1989 when the treatment phase of the trial ended. All participants provided informed consent in accordance with the Committee for the Protection of Human Subjects at Dartmouth.

Nested case-control study design

We conducted a nested case-control study within this intervention trial to examine the risk of subsequent incident SCC (i.e., the first new occurrence of a nonrecurrent squamous cell skin cancer following randomization) in relation to PyV infection status prior to diagnosis of this new SCC (hereafter referred to as the ‘prediagnostic’ or ‘prior to diagnosis’ time period) among patients with a history of KC. Of the 1,805 patients enrolled in the trial, 132 (7.3%) developed a new, nonrecurrent SCC during the follow-up period (hereafter referred to as a ‘case’). For each of these case patients, 2 controls were randomly selected from among patients who, up until or during the study year the SCC case was diagnosed, (a) had been actively followed, and (b) had not developed an incident and nonrecurrent SCC (hereafter referred to as a ‘control’). Controls were pair-matched to cases on gender, age (<45, 45–49, 50–54, 55–59, 60–64, 65–69, 70–74, and 75–84 years), and study center (Hanover, NH; Minneapolis, MN; Los Angeles, CA; and San Francisco, CA). Controls were assigned a reference date corresponding to the case’s diagnosis date to whom they were matched.

We aimed to analyze the baseline (pre-randomization) serum sample for the determination of PyV seroreactivity for each case and control included in our study sample. If the baseline sample was unavailable, we tested the earliest blood sample collected – provided it was drawn prior to the diagnosis date for SCC cases or the reference date for controls.

Repeated measures

A subset of 89 cases had both a pre-diagnosis blood, and a post-diagnosis blood drawn nearest to, but following, the diagnosis date of the new SCC occurrence. We further investigated the stability of PyV antibodies over time in serial serum samples through a longitudinal serological study conducted among controls included in the nested case-control study. A total of 895 serum samples from 229 controls were available for serologic analysis. Control participant were included in this longitudinal sub-study if they had ≥2 serum samples collected during the follow up period of 6 years.

Human polyomavirus serology

Serum samples masked to case-control status were shipped on dry ice to the German Cancer Research Center (DKFZ; Heidelberg, Germany) for analysis. Serum samples were assayed for antibodies against the immunodominant VP1 capsid protein (44) of two human-associated PyV types: BK (45) and JC (46). PyV seroreactivity was determined using a multiplex antibody detection approach based on a glutathione S-transferase (GST) capture enzyme-linked immunosorbent assay method in combination with fluorescent bead technology (Luminex Corp., Austin, Texas, USA) (47, 48). Antigen preparation and techniques used for PyVs (39, 44, 49) closely follow methods applied to human papillomaviruses (HPV) as described previously (47, 50). Although the multiplex technology assayed for other viruses simultaneously (i.e., HPVs), BK and JC were the only PyVs included in the assay.

Seroreactivity against the PyV VP1 antigens was expressed as the median fluorescence intensity (MFI) of 100+ beads of the same internal color (48). MFI values reflect viral load (51), as well as antibody affinity, titer, and reactivity as determined by dilution series (52). Standard cut points to define seropositivity were chosen for each PyV by visual inspection of frequency distribution curves (percentile plots) for the inflection points of all sera tested, as done in prior studies (27, 49, 50, 53). The standard cutoff value for VP1 seropositivity was 400 MFI units. To evaluate the robustness of PyV VP1 seroprevalence and odds ratio (OR) estimates for SCC by PyV seropositivity, we used a sliding cut point between 250 and 550 MFI units. We ultimately used the standard cut points in all analyses as PyV seroprevalence (Supplemental Figure 2) and OR estimates (from conditional and unconditional logistic regression models; Supplemental Figures 3– 4) were insensitive to cut point definition.

Statistical analysis

Statistical analyses were performed in R version 3.1.0. All statistical tests were two-sided, and statistical significance assessed at the α=0.05 level. Individual characteristics of SCC cases and controls were compared using the X² test (for categorical variables, i.e., gender, randomization arm, study center, previous skin cancers, cigarette use, skin sun sensitivity, occupational sun exposure, eye color, hair color, vitamin use) or Fisher’s exact test (for categorical variables with small strata containing ≤10 persons, i.e., BMI category, extent of UV skin damage, sun bathing), and Wilcoxon rank sum test (for continuous variables, i.e., age). Among controls, the seroprevalence of each PyV type was examined for both PyV seropositivity overall, and by age groups, using binary MFI cut points. Additionally, we tested the association between various individual characteristics in relation to PyV seropositivity within controls. We used the continuous MFI values from controls to compute Spearman rank correlation coefficients (ρ) between both PyVs assayed.

Within controls, we investigated intraindividual changes in PyV seroreactivity over time using repeated measures taken after baseline by calculating the intraclass correlation coefficient (ICC) (54) for continuous MFI values, and also stratified analyses by randomization arm of the original trial (i.e., treatment or placebo). Additionally, to determine serostatus (positive versus negative) stability over time, we defined control participants as being seropositive at all time points (stably seropositive), seronegative at all time points (stably seronegative), seroconverting (change from seronegative to seropositive over time), seroreverting (change from seropositive to seronegative), or fluctuating between seropositive and seronegative (fluctuating), as has been done previously (12, 13, 55). The likelihood of seroconversion following SCC diagnosis was evaluated with the kappa (κ) statistic among cases (56–58).

We used both conditional (as there was one-to-two pair-matching between cases and controls in the original trial) and unconditional logistic regression (while adjusting for the matching factors: age, gender, and study center) to calculate the ORs and 95% confidence intervals (CI) for the development of a new SCC by VP1 seropositivity compared to seronegativity for each PyV type in the baseline or earliest blood sample collected. Quartiles of seroreactivity based on the control distributions of continuous MFI values was created for each PyV, and associated with SCC by comparing the second, third, and fourth quartiles to the first (lowest) quartile in conditional and unconditional logistic regression models. Tests-for-trend were conducted by including an ordinal variable in the logistic model in place of the categorical quartile variable. Using the study sample for unconditional models, generalized additive logistic models (GAM) were fit to evaluate deviations from linearity in risk of SCC by the continuous MFI values from the earliest blood samples (59, 60). The smoothed (nonparametric) component of the binomial GAMs was PyV seroreactivity, and adjustment was made for the unsmoothed matching factors. Models were not further adjusted for potentially confounding covariates, as no sociodemographic or individual characteristic was found to both be associated with PyV serostatus and a risk factor for SCC development in our study group. We assessed the potential modifying effects of the assigned randomization arm from the original trial, having had a prior SCC, and having had a prior BCC in stratified analyses. We also performed stratified analyses by smoking status, UV skin damage, skin sun sensitivity, and hair color.

RESULTS

Patient characteristics

We tested a prediagnostic serum sample for 113 (85.6%) of the 132 SCC cases, and 229 (86.7%) of the 264 controls, for the nested case-control study. Pair-matched sets with at least one measured control directly matched to a case consisted of 111 (84.1%) SCC cases and 195 (73.9%) controls. Tested serum samples for all 342 study participants were drawn by the first year after baseline on 93.3% of both cases and controls, and samples were taken 15 days to 5.3 years before the diagnosis or reference date (median=2.2 years, interquartile range (IQR)=1.3–3.3 years). Among 210 controls (excluding 19 controls who only had a single sample collected), we performed repeated serologic analysis on 876 (97.9%) of the 895 serum samples drawn during the follow-up period for the longitudinal study. Controls had 2 to 8 serial samples with a median of 4 samples per participant, taken 11 days to 4.2 years apart (median number of years between repeated measures=1.0 years, IQR=1.0–1.1 years). We analyzed 85 (95.5%) of the subset of 89 SCC cases with both pre- and post-diagnosis serum samples, and the post-diagnostic samples were obtained 17 days to 1.7 years following the diagnosis date (median=0.7 years, IQR=0.6–0.7 years).

Participants in this study ranged in age from 35 to 84 years (median age of 67 years) upon study entry, and 88.1% were men. Cases and controls were balanced with respect to age, gender, and study center through the matched design. Compared to controls, SCC cases were more likely to have had ≥2 previous KCs, be current or former cigarette smokers, have skin that always or usually burned with sun exposure, be blonde or red-haired, and have moderate to severe actinic damage (Table 1).

Table 1.

Distribution of selected baseline characteristics among cutaneous squamous cell carcinoma (SCC) cases and controls from the Skin Cancer Prevention Study (n=342).^a

Characteristic	SCC Cases (n=113), No. (%)	Controls (n=229), No. (%)
Gender
Male	100 (88.5)	201 (87.8)
Female	13 (11.5)	28 (12.2)
Median age, SD (years)	68 (8.0)	67 (8.2)
Randomization arm in RCT
Treatment	66 (58.4)	115 (50.2)
Placebo	47 (41.6)	114 (49.8)
Study centerb
DHMC	24 (21.2)	43 (18.8)
UCLA	32 (28.3)	65 (28.4)
UCSF	25 (22.1)	56 (24.4)
UMN	32 (28.3)	65 (28.4)
Previous skin cancers
1	24 (21.2)	102 (44.5)***
2	21 (18.6)	41 (17.9)
3	12 (10.6)	20 (8.7)
4–5	26 (23.0)	36 (15.7)
6–9	12 (10.6)	17 (7.4)
≥10	18 (15.9)	11 (4.8)
Cigarette use
Never smoked	28 (24.8)	91 (39.7)**
Former smoker	62 (54.9)	111 (48.5)
Current smoker	23 (20.3)	27 (11.8)
Body mass index (kg/m2)
Underweight <18.5	1 (0.9)	2 (0.8)
Normal 18.5–24.9	50 (44.2)	98 (42.8)
Overweight 45.0–29.9	47 (41.6)	108 (47.2)
Obese >30.0	12 (10.6)	15 (6.6)
Skin sun sensitivity
Always or usually burns	72 (63.7)	110 (48.0)**
Burns moderately or minimally	41 (36.3)	118 (51.5)
Extent of UV skin damage
Mild	9 (8.0)	62 (27.1)***
Moderate	71 (62.8)	134 (58.5)
Severe	32 (28.3)	31 (13.5)
Sun bathed (hours)
Never	40 (35.4)	62 (27.1)
0–200	18 (15.9)	63 (27.5)
200–400	25 (22.1)	54 (23.6)
400–600	21 (18.6)	33 (14.4)
>600	7 (6.2)	17 (7.4)
Occupational sun exposure (years)
0–7	41 (36.3)	78 (34.1)
7–20	31 (27.4)	64 (27.9)
21–40	28 (24.8)	40 (17.5)
>40	13 (11.5)	46 (20.1)
Eye color
Blue, green, gray, hazel	97 (85.8)	185 (80.8)
Brown, black	16 (14.2)	44 (19.2)
Hair color
Blonde, red	49 (43.4)	61 (26.6)**
Brown, black	64 (56.6)	64 (27.9)
Vitamin use
No	67 (59.3)	128 (55.9)
Occasional	15 (13.3)	37 (16.2)
Daily	24 (21.2)	60 (26.2)

^*P< 0.05,

^**P < 0.01,

^***P < 0.001. P values obtained from X², Fisher’s exact, or Wilcoxon rank sum test (as appropriate) comparing sociodemographic and skin cancer risk factors between SCC cases and controls.

^aNumbers may not sum to the overall total due to missing data.

^bThis multicenter study was conducted at sites in California (University of California at Los Angeles School of Medicine (UCLA); University of California Medical School, San Francisco (UCSF)), Minnesota (University of Minnesota Schools of Medicine and Public Health, Minneapolis (UMN)), and New Hampshire (Dartmouth-Hitchcock Medical Center, Hanover (DHMC)), USA.

BK and JC antibody status over time among controls

Among the baseline or first measured samples in controls, the overall seroprevalence was 96.9% for BK and 77.3% for JC (Figure 1). Seroprevalence was constant across age groups for BK, and increased with age group for JC (P-for-trend=0.02). Sociodemographic and individual characteristics at study entry were not related to BK or JC serostatus (Supplemental Table 1). We did not find correlations or evidence of cross-reactivity between the VP1 capsid proteins of BK and JC for the earliest prediagnostic samples collected (ρ=0.06, P=0.09) or for the repeated measures (ρ=0.06, P=0.07).

Figure 1.

Seroprevalences of human polyomaviruses (PyV) as determined by VP1 seroreactivity among 229 controls by age group from the Skin Cancer Prevention Study, using the baseline or earliest serum sample collected. The overall seroprevalence (%) and number of participants who were seropositive for each PyV is shown above the bars. The number of participants within each age group is noted in the legend.

BK and JC seroreactivity remained stable over time within controls in the repeated serum measures (Table 2). The intraclass correlation coefficient was 0.86 for BK and 0.94 for JC, and no difference was found in ICC estimates when stratified by randomization arm of the original trial. For BK, 95.7% were stably seropositive, and 2.9% remained seronegative. There were no seroreversions, and <1% seroconverted (0.9%) or had fluctuating antibody levels (0.5%). For JC, 74.8% were stably seropositive, and 20.9% remained seronegative; 2.9% seroconverted, 0.9% seroreverted, and 0.5% had fluctuating antibody levels.

Table 2.

Serostability for BK and JC human polyomavirus (PyV) seropositivity^a in samples collected longitudinally over time among 210^b controls from the Skin Cancer Prevention Study.

PyV	Controls Serostability (n=210), No. (%)
	Stably seropositive	Stably seronegative	Seroconversion	Seroreversion	Fluctuating
BK	201 (95.7)	6 (2.9)	2 (0.9)	None	1 (0.5)
JC	157 (74.8)	44 (20.9)	6 (2.9)	2 (0.9)	1 (0.5)

^aPyV infection was determined using seropositivity for the VP1 protein.

^bNot including 19 controls who only had a single sample collected. Only controls with ≥2 repeated serum samples were included.

Pre- versus post-diagnostic BK and JC serostatus

We compared PyV serostatus prior to and closely following the first occurrence of an incident SCC diagnosis among a subset of SCC cases (Table 3). One (1.2%) case who was BK seronegative prior to diagnosis remained seronegative following SCC diagnosis, and 84 (98.8%) cases who were seropositive prior to diagnosis remained so following diagnosis. For JC, we found 10 (11.8%) cases to remain seronegative, and 74 (87.1%) cases to remain seropositive, prior to and following diagnosis; only 1 (1.2%) case who was seronegative seroconverted to JC seropositive following SCC diagnosis. As a measure of agreement, the kappa statistic (κ) was close to 1 for both BK (κ=1.0, 95% CI: 0.79–1.0) and JC (κ=0.95, 95% CI: 0.73–1.0).

Table 3.

BK and JC human polyomavirus (PyV) serostatus^a prior to cutaneous squamous cell carcinoma diagnosis (SCC), and post SCC diagnosis, among 85 cases from the Skin Cancer Prevention Study.

PyV serostatus pre-diagnosis	PyV serostatus post-diagnosis (n=85)
	Seronegative, No. (%)	Seropositive, No. (%)
BK
Never seropositive	1 (1.2)	0 (0)
Ever seropositive	0 (0)	84 (98.8)
JC
Never seropositive	10 (11.8)	1 (1.2)
Ever seropositive	0 (0)	74 (87.1)

^aPyV infection was determined using seropositivity for the VP1 protein.

We assessed risk of having a new SCC in relation to prediagnostic PyV seroreactivity among patients with a history of KC (Table 4). In the conditional logistic regression models of the matched cases and controls, an increased risk of SCC was specifically observed with seropositivity for JC (OR= 2.54, 95% CI: 1.23–5.25), and a positive trend in SCC risk was associated with increasing MFI quartiles of JC seroreactivity (P-for-trend=0.004). The highest versus lowest quartile of JC seroreactivity was associated with a 3-fold greater risk of SCC (OR=3.13, 95% CI: 1.51–6.49). In conditional analyses, a positive association with SCC risk was also observed with seropositivity for BK (OR= 3.90, 95% CI: 0.48–31.96) with limited statistical power, and there was evidence of an increasing trend in SCC risk with increasing quartiles of seroreactivity (P-for-trend=0.02). Similar estimates were obtained using unconditional logistic regression models that adjusted for the matching factors: age, gender, and study center (Supplemental Table 2). The binomial GAMs suggested an increasing probability of SCC with increasing continuous MFI values for both BK (P=0.02) and JC (P=0.003) (Figure 2), with some deviations from linearity and statistical imprecision (especially for BK). Analyses stratified by randomization arm, prior SCC status (220 controls and 107 cases with no prior SCC presented with their first incident SCC), prior BCC status (Supplemental Figure 5), smoking status, UV skin damage, and hair color (Supplemental Figure 6) resulted in similar OR estimates as the main analyses but were limited by the markedly reduced sample sizes. The OR associated with JC was higher among those with a skin type that tended to burn, but this was based on small stratum sizes and had wide CIs (Supplemental Figure 6).

Table 4.

Conditional odds ratios^a (95% confidence intervals) for cutaneous squamous cell carcinoma (SCC) by seropositivity for each polyomavirus (PyV)^b type and quartiles^c of PyV seroreactivity at baseline among cases and matched controls(n=306) from the Skin Cancer Prevention Study.

		SCC Cases (n=111)
PyV seroreactivity (MFI units)	Controls (n=195), No. (%)	No. (%)	OR (95% CI)
BK
Seronegative	7 (3.6)	1 (0.9)	1.00 (referent)
Seropositive	188 (96.4)	110 (99.1)	3.90 (0.48–31.96)
Quartile 1	54 (27.7)	26 (23.4)	1.00 (referent)
Quartile 2	48 (24.6)	14 (12.6)	0.65 (0.31–1.37)
Quartile 3	46 (23.6)	32 (28.9)	1.67 (0.86–3.23)
Quartile 4	47 (24.1)	39 (35.1)	1.89 (0.96–3.73)
P for trendd				0.016
JC
Seronegative	45 (23.1)	13 (11.7)	1.00 (referent)
Seropositive	150 (76.9)	98 (88.3)	2.54 (1.23–5.25)
Quartile 1	50 (25.6)	18 (16.2)	1.00 (referent)
Quartile 2	49 (25.1)	26 (23.4)	1.60 (0.76–3.39)
Quartile 3	51 (26.1)	21 (18.9)	1.10 (0.50–2.44)
Quartile 4	45 (23.1)	46 (41.4)	3.13 (1.51–6.49)
P for trendd				0.0039

^aOR=odds ratios obtained from conditional logistic regression analysis, CI=confidence interval.

^bPyV infection was determined in the baseline or earliest serum sample collected using seropositivity for the VP1 protein.

^cControls may not be evenly distributed within quartiles due to uneven data distribution and the quartiles based upon all 229 controls.

^dBased on the seroreactivity quartiles modelled as a continuous variable.

Figure 2.

Modelled probability of cutaneous squamous cell carcinoma (SCC) by PyV seroreactivity assessed in the baseline or earliest serum sample collected, with adjustment for continuous age, gender, and study center, in multivariable binomial generalized additive models (binomial GAMs) among 342 study participants from the Skin Cancer Prevention Study. The solid line represents the modelled probability of SCC, and the dashed lines denote the 95% confidence intervals. The rug along the x axis shows the distribution of study participants. The estimated degrees of freedom (edf) and corresponding significance is shown above each plot. The only smoothed (nonparametric) component of the binomial GAM was PyV seroreactivity.

DISCUSSION

We conducted a nested case-control study to test the hypothesis that prediagnostic infection with human PyVs is associated with incident SCC in a population at high risk for this malignancy. Among participants with a history of KC, we found an increased risk of subsequent SCC associated with JC seropositivity, as well as with increasing quartiles of BK and JC seroreactivity, in serum samples collected prior to SCC diagnosis. SCC diagnosis was not associated with a change in BK or JC serostatus, and intraindividual seroreactivity remained consistent over time.

There is limited information on the longitudinal serostability of these viruses within individuals. Available studies on repeated measures of seroreactivity against PyVs have primarily been conducted among special populations such as organ transplant recipients (13, 61), pregnant women (20), and heavily immunosuppressed patients (e.g., HIV-infected individuals (62, 63), or multiple sclerosis patients treated with natalizumab (17–19, 64–66)), with evidence of greater seroinstability over time, possible due to their condition or immunotherapy. A nested case-control study of non-Hodgkin's lymphoma found only 1 change in JC serostatus and 3 changes in BK serostatus over a period of 15 years out of 94 controls (67). One published study aimed to investigate the serostability of PyVs in the general adult population: a longitudinal study of 458 individuals from Australia (12). Over an 11 year follow-up period, BK seroprevalence was stable with only 2.5% displaying a change in serostatus over time (12). However, JC serostatus was less stable during the same span of time, with 16% changing serostatus (12). In our study, we found BK and JC seroreactivity to remain very stable within an individual, as nearly all participants who tested seropositive or seronegative in their first sample retained this status over the course of time. Thus, our findings along with prior work (12, 67) suggest a single measurement of serum antibody level is a reasonable indicator of long-term antibody status for BK and JC in epidemiologic studies of adults.

Research exploring the effect of PyV serostatus prior to diagnosis on future SCC risk is limited, despite evidence of a causal role for MCV in MCC development (24, 68). We found a positive association between JC seropositivity in prediagnostic serum samples and the development of a new primary SCC among those with least one previous KC. Our findings differ from those observed in a large Swedish study, where no association was found between SCC (OR=1.0, 95% CI: 0.8–1.4) and JC seropositivity with samples collected at least 1 month prior to diagnosis (69). However, the Swedish study included JC as a specificity control, as they had the primary objective to investigate the association between HPV and SCC or BCC (69). In a clinic-based case-control study conducted in Florida, USA, a positive but weak association for SCC was observed with JC seropositivity assessed at the time of diagnosis (OR=1.4, 95% CI: 0.9–2.2) (39). Our findings support this result, and further suggest a lack of bias from analysis of post-diagnosis samples. We also explored the risk of SCC in relation to the presence of prediagnostic antibodies against BK, but the high seroprevalence resulted in elevated but less stable estimates of SCC risk.

Infection with BK and JC has been categorized as ‘possibly carcinogenic to humans’ by the International Agency for Research in Cancer (70), although the mechanism is not well understood. The early PyV protein, LTAg contains a retinoblastoma (Rb)-binding pocket necessary for transforming activity and cell proliferation (2, 4, 24, 71), and also harbors a p53-binding domain that binds and inactivates the p53 protein to induce cell division (2, 5, 71, 72). JC LTAg has been shown to directly interact with insulin receptor substrate-1 (73) and β-catenin (74, 75), resulting in a nuclear translocation of proteins that may contribute to the process of malignant transformation through the dysregulation of homologous recombination-directed DNA repair (76) and the proto-oncogene c-myc (75). BK and JC differ from other PyV types, as their late regions encode an agnoprotein which may exert its tumorigenic influence through cell cycle dysregulation, interference with DNA repair processes, and chromosome instability (77, 78). Moreover, BK, JC, and MCV also encode a miRNA that downregulates LTAg expression, which may allow the virus to escape immune surveillance (79).

A history of PyV infection assessed through antibody detection against a viral antigen implies that either viral action or confounding by an immune trait (80) related to both infection and SCC risk may be responsible for skin carcinogenesis. BK and JC are known to reactivate under conditions of immunosuppression (e.g., organ transplantation) due to impaired cellular immune responses and decreased immune surveillance (22, 81, 82). Further, we previously found specific PyVs to be associated with slight changes in adaptive lymphocyte proportions among immunocompetent individuals using a bioinformatics approach (83). As adaptive immunity is modulated by both genetics and exposure to infections or allergens, and plays a role in future cancer risk, research causally linking viruses and SCC is complicated by their shared association with immune dysfunction (80).

Strengths and limitations

We leveraged a unique trial with follow-up and serial serum samples to prospectively assess the relationship between SCC and PyV seroreactivity in a nested case-control study. Our prospective design reduced the possibility of reverse-causality with respect to the new occurrence of SCC – a concern of particular relevance for skin cancers, where the seroprevalence of HPV infections has been suspected to increase following diagnosis (84). Our data suggest that PyV reactivation or increased susceptibility caused by the disease process are less likely to explain the observed associations. Nonetheless, the use of a high risk study sample comprised of patients with a history of KCs in an intervention trial may limit the generalizability of our results. As all study participants had a history of KC, our study design does not exclude the possibility that the initial KC diagnosis prior to trial enrollment affected seroreactivity measurements.

Antibody response against each PyV type was used as a marker of PyV infection (49, 85), measured using multiplex serology and a GST fusion protein-based capture immunoassay of recombinantly expressed VP1 capsid proteins, This has been shown a reliable technique to assess PyV seroreactivity and used as a marker of PyV infection in prior studies (39, 44, 49, 85). We found antibody levels against BK and JC to be strongly correlated within individuals over time, and did not find evidence of cross-reactivity between BK and JC VP1 antibodies, suggesting our results to be virus-specific. A limitation of our study is the lack of measures for BK or JC virus in SCC tumors. Serum MFI values have been shown to correspond to the presence of viral DNA within tumor tissues, with MCV DNA-positive SCC tumors (but not MCV DNA-negative SCC tumors) having notably higher MFI values compared to controls (39); yet far less is known about the other PyV types. While other studies have failed to detect DNA from either virus types in Bowen’s disease (86), BCC (87), SCC (39, 87, 88), or melanoma (88, 89), BK DNA has been amplified from 76% of healthy skin tissues, and JC DNA from 16% of normal skin (90). This suggests that these viruses can inhabit the skin even without being skin tropic (2). In addition, BK (but not JC) early promoters displayed strong activity in experimental skin cell lines, which may indicate skin is suitable for polyomaviral propagation (91). Another limitation is that a history of PyV infection inferred from antibody detection suggests either the virus itself or a confounding immunologic factor may be responsible for SCC development. Thus, our findings of an association between BK or JC and SCC could represent the predisposing role of an immune phenotype, rather than the carcinogenic action of the virus.

Conclusions

We found evidence for an association between prediagnostic seroreactivity to BK and JC, and subsequent risk of SCC development in a USA adult population at high risk for KC. Further, our data suggest that seroreactivity to BK and JC is relatively stable over a period of up to 6 years, and following an SCC diagnosis.

Abbreviations

CI

confidence interval

GAM

generalized additive model

GST

glutathione S-transferase

ICC

intraclass correlation coefficient

IQR

interquartile range

JC

John Cunningham virus

KC

keratinocyte cancer

MCV

Merkel cell polyomavirus

MFI

median fluorescence intensity

OR

odds ratio

PyV

polyomavirus

SCC

cutaneous squamous cell carcinoma

TAg

T antigen