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Published in final edited form as: Eur Urol. 2021 Dec 18;81(3):223–228. doi: 10.1016/j.eururo.2021.12.009

Antiadenovirus Antibodies Predict Response Durability to Nadofaragene Firadenovec Therapy in BCG-unresponsive Non–muscle-invasive Bladder Cancer: Secondary Analysis of a Phase 3 Clinical Trial

Anirban P Mitra a, Vikram M Narayan a,, Sharada Mokkapati a, Tanner Miest a, Stephen A Boorjian b, Mehrdad Alemozaffar c, Badrinath R Konety d, Neal D Shore e, Leonard G Gomella f, Ashish M Kamat a, Trinity J Bivalacqua g, Jeffrey S Montgomery h, Seth P Lerner i, J Erik Busby j, Michael Poch k, Paul L Crispen l, Gary D Steinberg m, Anne K Schuckman n, Tracy M Downs o, Robert S Svatek p, Joseph Mashni Jr q, Brian R Lane r, Thomas J Guzzo s, Gennady Bratslavsky t, Lawrence I Karsh u, Michael E Woods v, Gordon A Brown w, Daniel Canter x, Adam Luchey y, Yair Lotan z, Tracey Krupski aa, Brant A Inman bb, Michael B Williams cc, Michael S Cookson dd, Kirk A Keegan ee, Gerald L Andriole Jr ff, Alexander I Sankin gg, Alan Boyd hh, Michael A O’Donnell ii, Richard Philipson jj,, Seppo Ylä-Herttuala kk, David Sawutz ll, Nigel R Parker kk, David J McConkey mm, Colin PN Dinney a,*
PMCID: PMC8891058  NIHMSID: NIHMS1763156  PMID: 34933753

Abstract

A recent phase 3 trial of intravesical nadofaragene firadenovec reported a promising complete response rate for patients with bacillus Calmette-Guérin–unresponsive non–muscle-invasive bladder cancer. This study examined the ability of antiadenovirus antibody levels to predict the durability of therapeutic response to nadofaragene firadenovec. A standardized and validated quantitative assay was used to prospectively assess baseline and post-treatment serum antibody levels among 91 patients from the phase 3 trial, of whom 47 (52%) were high-grade recurrence free at 12 mo (responders). While baseline titers did not predict treatment response, 3-mo titer >800 was associated with a higher likelihood of durable response (p = 0.026). Peak post-treatment titers >800 were noted in 42 (89%) responders versus 26 (59%) nonresponders (p = 0.001; assay sensitivity, 89%; negative predictive value, 78%). Moreover, 22 (47%) responders compared with eight (18%) nonresponders had a combination of peak post-treatment titers >800 and peak antibody fold change >8 (p = 0.004; assay specificity, 82%; positive predictive value, 73%). A majority of responders continued to have post-treatment antibody titers >800 after the first 6 mo of therapy. In conclusion, serum antiadenovirus antibody quantification may serve as a novel predictive marker for nadofaragene firadenovec response durability. Future studies will focus on large-scale validation and clinical utility of the assay.

Keywords: Antiadenovirus antibody, Bladder cancer, Companion biomarker, Gene therapy, Treatment efficacy

Patient summary:

This study reports on a planned secondary analysis of a phase 3 multicenter clinical trial that established the benefit of nadofaragene firadenovec, a novel intravesical gene therapeutic, for the treatment of patients with bacillus Calmette-Guérin (BCG)-unresponsive high-risk non–muscle-invasive bladder cancer. Prospective assessment of serum anti–human adenovirus type-5 antibody levels of patients in this trial indicated that a combination of post-treatment titers and fold change from baseline can predict treatment efficacy. While this merits additional validation, our findings suggest that serum antiadenovirus antibody levels can serve as an important predictive marker for the durability of therapeutic response to nadofaragene firadenovec.


Intravesical bacillus Calmette-Guérin (BCG) is frontline therapy for high-risk non–muscle-invasive bladder cancer (NMIBC) [1]. Although 80% of patients respond to BCG, 20–50% will eventually recur or progress [2]. Pembrolizumab is approved for BCG-unresponsive carcinoma in situ (CIS) based on a phase 2 study reporting 19% 12-mo complete response rate (CRR), but is associated with 13% grade 3–4 drug-related adverse events (DAEs), including 21% immune-mediated DAEs [3]. Nadofaragene firadenovec is a recombinant adenovirus vector plus polyamide surfactant capable of expressing therapeutic IFNα transgene in treated urothelium [47]. We reported a first-of-its-kind phase 3 multicenter trial of intravesical nadofaragene firadenovec in BCG-unresponsive NMIBC with 60% CRR within 3 mo of the first dose in the efficacy population, which was maintained in 51% of responders at 12 mo [8]. Administered intravesically once every 3 mo, it was associated with 4% grade 3 DAEs.

Of the complete responders in the phase 2 trial, 71% had elevated serum anti–human adenovirus type-5 (anti–HAdV-5) antibody titers [7]. Given the association of antibody levels with adenovirus-mediated gene therapy response in gliomas [9], we investigated whether anti–HAdV-5 levels predicted durable response to nadofaragene firadenovec in the phase 3 trial. A total of 157 patients met the trial criteria and received at least one dose (Supplementary Fig. 1). Therapy was administered every 3 mo after pretreatment evaluation for high-grade recurrence. Peripheral blood was obtained at baseline and every 3 mo thereafter for patients responding to therapy. Antibody titers were determined by a validated quantitative enzyme-linked immunosorbent assay (Supplementary material, Methods and Results). Follow-up was until trial’s primary endpoint of 12 mo after the first dose or development of high-grade recurrence, whichever occurred first. The goal was to determine whether antibody levels at baseline or post-treatment predicted durable response.

Ninety-one (58% of eligible) safety population patients had baseline and at least one post-treatment titer available, and were included for analysis. All patients had urothelial carcinoma without histological variants, of whom 57 (63%) had CIS with or without Ta/T1 disease (CIS subcohort) and 34 (37%) had high-grade Ta/T1 tumors without CIS (high-grade Ta/T1 subcohort). The median age was 71 (interquartile range, 66–77) yr. Forty-seven (52%) patients remained high-grade recurrence free at 12 mo (responders), while 44 (48%) patients developed high-grade recurrence or disease progression at or before the 12-mo primary endpoint (nonresponders).

Antibody titers at baseline, after treatment, and at peak and associated fold changes were determined on a continuous scale (Fig. 1AE). Thirty-two (68%) responders and 40 (91%) nonresponders achieved peak titers within 6 mo of starting treatment (Fig. 1F and 1G), with the median fold change also peaking at 6 mo in both subcohorts (Supplementary Fig. 2). As adenovirus seropositivity is widely prevalent, we evaluated whether pre-existing immunity conferred a therapeutic advantage. While there was no difference in baseline titers between the treatment response groups, responders had higher peak titers (p < 0.001) and peak fold change (p = 0.009) compared with nonresponders (Supplementary Table 1). Baseline and post-treatment antibody titer cutoffs were evaluated for their ability to predict durable response (Supplementary Fig. 3). Optimal cutoffs were determined by maximizing the area under the receiver operating characteristic curve. This is clinically relevant in BCG-unresponsive NMIBC to maximize sensitivity (ie, identifying high-risk patients who may have durable response) and specificity (ie, identifying patients with impending failure who likely need alternate therapy). A baseline titer cutoff of 200 was unable to differentiate between responders and nonresponders (Table 1). However, a 3-mo post-treatment titer of >800 was associated with durable response (p = 0.026). Upon assessing peak post-treatment antibody levels, 42 (89%) responders had titers >800 compared with 26 (59%) nonresponders (p = 0.001; Table 1). Lower peak titers were associated with a higher risk of nondurable response (p < 0.001; Table 1). Sensitivity, negative predictive value, and accuracy of this assay in the study population were 89%, 78%, and 66%, respectively (Fig. 1H). Performance metrics were also notable in the CIS and high-grade Ta/T1 subcohorts (Supplementary Tables 2 and 3; Fig. 1I and 1J; Supplementary material, Results). Twenty-four (51%) responders had peak fold change >8 from baseline compared with 12 (27%) nonresponders (p = 0.020), with a higher risk of nondurable response with peak fold change ≤8 (p = 0.024; Table 1).

Fig. 1 –

Fig. 1 –

Anti–human adenovirus type-5 antibody titers in patients with bacillus Calmette-Guérin–unresponsive, high-risk, non–muscle-invasive bladder cancer. Distributions of log10-transformed antibody titer levels between responders (blue) and nonresponders (red) at (A) baseline, (B) 3 mo after treatment, and (C) post-treatment peak, with corresponding log10-transformed fold change differences compared with baseline at (D) 3 mo after treatment and (E) post-treatment peak. Solid and dotted lines indicate median and interquartile range, respectively. Proportions of (F) responders and (G) nonresponders reaching peak serum antibody titers at 3 (blue), 6 (red), 9 (green), and 12 (purple) mo following treatment with nadofaragene firadenovec, stratified by those in the CIS and high-grade Ta/T1 subcohorts. Performance metrics of baseline and various post-treatment antibody titers and fold change levels in the (H) entire study population, (I) carcinoma in situ subcohort, and (J) high-grade Ta/T1 subcohort. (K) Frequencies of patients with 3-mo (lower pair) and peak (upper pair) post-treatment antibody titers >800 (orange) and ≤800 (green), stratified by their corresponding baseline antibody titer levels (on X axis). (L) Relative proportion of patients in the study population initially stratified by baseline antibody titers, who were deemed responders (blue) and nonresponders (red) upon clinical evaluation for recurrence of high-grade disease at months 3, 6, 9, and 12. Responders are further stratified based on post-treatment antibody titers. Thickness of colored curves corresponds to the relative proportion of the respective originating node. CIS = carcinoma in situ subcohort; HG Ta/T1 = high-grade Ta/T1 subcohort; NPV = negative predictive value; NR = nonresponders; PPV = positive predictive value; R = responders. a A marker combination status where patients with peak antibody titer >800 and peak antibody fold change level >8 were deemed favorable, and the remainder were designated as unfavorable. * p < 0.010.

Table 1 –

Distribution of antiadenoviral antibody titers and fold changes from baseline, and relative risk of nondurable response to nadofaragene firadenovec treatment in the study population (n = 91)

Distribution
Relative risk of nondurable response
Responders n (%) a Nonresponders n (%) a p value b Hazard ratio (95% CI) p value c
Study population, n (row %) 47 (52) 44 (48)
Titer at baseline 0.26 0.41
 >200 29 (62) 22 (50) 1.00 (Reference)
 ≤200 18 (38) 22 (50) 1.28 (0.71–2.32)
Titer at 3 mo 0.026 0.067
 >800 30 (67) 19 (43) 1.00 (Reference)
 ≤800 15 (33) 25 (57) 1.75 (0.96–3.18)
Fold change at 3 mo 0.64 0.61
 >8 10 (22) 8 (18) 1.00 (Reference)
 ≤8 35 (78) 36 (82) 1.22 (0.57–2.62)
Peak titer 0.001 <0.001
 >800 42 (89) 26 (59) 1.00 (Reference)
 ≤800 5 (11) 18 (41) 2.98 (1.62–5.50)
Peak fold change 0.020 0.024
 >8 24 (51) 12 (27) 1.00 (Reference)
 ≤8 23 (49) 32 (73) 2.16 (1.11–4.19)
Marker combination d 0.004 0.005
 Favorable 22 (47) 8 (18) 1.00 (Reference)
 Unfavorable 25 (53) 36 (82) 3.00 (1.39–6.48)

CI = confidence interval.

a

Column % unless otherwise indicated.

b

p value based on Pearson’s chi-square test except when any expected cell value was <5, where Fisher’s exact test was used instead.

c

p value based on Cox regression.

d

Favorable defined as a combination of peak antibody titer >800 and peak antibody fold change level >8. Patients not meeting both criteria were designated as unfavorable.

Given the markers’ individual discriminative abilities, patients with peak titer >800 and peak fold change >8 were classified as favorable, and those not meeting these criteria were designated as unfavorable. Twenty-two (47%) responders were classified as favorable compared with only eight (18%) nonresponders (p = 0.004; Table 1). Of the nonresponders in the favorable subgroup, five (63%) recurred at the 12-mo evaluation. The unfavorable subgroup was associated with an elevated risk of nondurable response (p = 0.005; Table 1). Specificity and positive predictive value of marker combination in the study population were 82% and 73%, respectively (Fig. 1H). Performance metrics were also superior in the CIS subcohort (Supplementary material, Results). Exploratory analyses revealed no association between the time from the last tumor resection to the first dose and first post-treatment titers at 3 mo (Supplementary Fig. 4). Low baseline levels were associated with low post-treatment titers (p < 0.001; Supplementary Table 4), and lower frequency of 3-mo and peak post-treatment titers >800 (Fig. 1K). Conversely, higher baseline levels corresponded with higher frequency of post-treatment titers >800. Among subgroups stratified by baseline and post-treatment titers, the highest crossover frequency between low- and high-titer subgroups occurred in the first 6 mo of therapy, after which the highest proportion of responders continued to have post-treatment titers >800 (Fig. 1L).

IFNα antitumor activity is mediated through direct cytotoxicity, inhibiting cellular proliferation and angiogenesis, and immune activation [4]. However, mechanisms for anti–HAdV-5 increase in durable responders by nadofaragene firadenovec are less well understood, and may partly be associated with anti–HAdV-5 immunodiversity at baseline and patients’ subsequent post-treatment responses [10]. While the use of a novel therapeutic precludes independent validation, the rigor of our results arises from the standardized, clinically validated, and reproducible assay used to develop these predictive metrics.

In summary, we describe anti–HAdV-5 titers as a novel therapeutic efficacy marker for nadofaragene firadenovec in the setting of a prospective clinical trial. While further validation and clinical utility assessments are necessary, these data suggest that anti–HAdV-5 titer metrics can predict durable treatment responses and identify patients who may benefit from other bladder-preservation strategies. Such efforts can identify efficacy biomarkers that improve patient selection for emerging therapies against BCG-unresponsive NMIBC.

Supplementary Material

1

High post-treatment serum antiadenovirus antibody levels were associated with durable response to nadofaragene firadenovec. This assay could provide clinical utility in predicting response durability as a companion marker for this novel agent in bacillus Calmette-Guérin–unresponsive non–muscle-invasive bladder cancer.

Funding/Support and role of the sponsor:

This work was supported by FKD Therapies Oy (Kuopio, Finland), AI Virtanen Institute for Molecular Sciences (Kuopio, Finland), and MD Anderson Cancer Center Support Grant funding from the National Institutes for Health/National Cancer Institute (award number P30CA016672). Anirban P. Mitra is supported by the Harold C and Mary L Dailey Endowed Fellowship.

Financial disclosures:

Colin P.N. Dinney certifies that all conflicts of interest, including specific financial interests and relationships and affiliations relevant to the subject matter or materials discussed in the manuscript (eg, employment/affiliation, grants or funding, consultancies, honoraria, stock ownership or options, expert testimony, royalties, or patents filed, received, or pending), are the following: Anirban P. Mitra reports honoraria from UpToDate and UroToday, and is a co-creator of intellectual property owned by the University of Southern California related to a prognostic panel for urinary bladder cancer. Stephen A. Boorjian reports consulting fees from Ferring, FerGene, and ArTara. Mehrdad Alemozaffar reports personal fees from Ferring. Badrinath R. Konety reports clinical trial funds from FKD; clinical trial support from BMS, Merck, and Photocure; and consulting fees and personal fees from Ferring, Convergent Genomics, Boston Scientific, and Francis Medical. Neal D. Shore has participated in research and consulting work for Amgen, Astellas, AstraZeneca, Bayer, Dendreon, Ferring, Janssen, Merck, Pfizer, Sanofi-Genzyme, Tolmar, BMS, Myovant, and Nymox. Leonard G. Gomella reports personal fees from Ferring (advisory board) and grant funding from the NRG Radiation Therapy Oncology Group, and has pending patents to Thomas Jefferson University for shed tumor cells detection. Ashish M. Kamat reports advisory board work, consulting work, or personal fees from Merck, BMS, Eisai, Arquer, MDx Health, Photocure, AstraZeneca, IBCG, TMC Innovation, Theralase, BioClin Therapeutics, FKD, Cepheid, Medac, Asieris, Pfizer, Abbott Molecular, US Biotest, Ferring, Imagin, Cold Genesys, Roviant, Sessen Bio, CEC Oncology, and Nucleix; and has a joint pending patent to The University of Texas MD Anderson Cancer Center for a CyPRIT-cytokine panel for response to intravesical immunotherapy. Trinity J. Bivalacqua reports personal fees and consulting work from Ferring and Photocure. Seth P. Lerner has received grant funding from FKD, Vaxiion, UroGen, Endo, and Vivential; consulting fees and personal fees from UroGen, Vaxiion, Merck, Pfizer, FerGene, Verity, QED, mIR Scientific, Genentech, UroToday, Dava Oncology, and Nucleix; compensation for his editorial work from Bladder Cancer journal and UpToDate; and has a patent pending for TCGA expression subtype single patient classifier. Gary D. Steinberg reports personal fees in his role as a scientific adviser for FKD, Merck, CG Oncology, Ferring, BMS, Janssen, Photocure, Urogen, Seattle Genetics, Aduro, Pfizer, Engene Bio, and AbbVie. Anne K. Schuckman reports consulting work for Photocure, Merck, and FerGene; and personal fees from FKD. Robert S. Svatek reports personal fees from and consulting work for FKD, Ferring, Merck, and MDx Health. Lawrence I. Karsh reports personal fees from and consulting work for Urogen, AstraZeneca, Ferring, Vaxiion, and Merck; and clinical trials support for Exact Sciences, FKD, GenomeDx, Janssen, Merck, QED, Urogen, Vaxiion, Nucleix, Genetech/Roche, and Ferring. Gordon A. Brown reports consulting, lecturing, and adviser fees from Astellas, Janssen, Bayer, and UroGPO. Yair Lotan reports grants from FKD, Anchiano, Storz, Abbott, Pacific Edge, Cepheid, MDxHealth, and Decipher; and personal fees from FerGene, Merck, Ferring Research, AbbVie, Photocure, Urogen, Synergo, CAPs Medical, and Vessi. Brant A. Inman reports receiving clinical trial grants from FKD, Genentech, Dendreon, Taris Biomedical, Urogen, Combat Medical, Anchiano, Nucleix, and Abbott; and personal fees from Combat Medical, Nucleix, and Ferring. Michael B. Williams reports consulting work for Pacific Edge Diagnostics, Ferring, Olympus, Pfizer, and Astellas; and research for FKD, Astellas, Janssen, Merck, Anchiano, Astra Zeneca, and Dendreon. Michael S. Cookson reports grants and personal fees from MDX Health; personal fees from Williams, Hall & Latherow, Myovant Sciences, Bayer, Sturgill, Turner, Barker & Mahoney, Boehl Stopher & Graves, Merck, Astellas, Janssen, and La Cava & Jacobson; and grants from Bayer and Janssen Biotech. Gerald L. Andriole Jr reports a research grant from FKD. Alexander I. Sankin reports personal fees from Photocure, Genentech, and Ambu. Michael A. O’Donnell reports grant support from Abbott Molecular, and consulting work for Fidia, Theralese, Urogen, and Vaxiion; and is an investigator for Medical Enterprises and Photocure. Richard Philipson reports personal fees from Trizell and Calliditas. Alan Boyd, Seppo Ylä-Herttuala, and David Sawutz received personal fees from FKD. Nigel R. Parker reports personal fees from FKD and Trizell. David J. McConkey reports grant funding from AstraZeneca; and advisory board work for Janssen, Rainier, and H3 Biomedicine. Colin P.N. Dinney reports grant funding and personal fees from FKD; and is a creator of intellectual property owned by The University of Texas MD Anderson Cancer Center related to the use of genetic alterations as a predictive biomarker for response to nadofaragene firadenovec. All other authors declare no competing interests.

Footnotes

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