Literature DB >> 36114549

Can HPV Selfy be considered as a clinically validated HPV test for use in cervical cancer screening?

Marc Arbyn1,2, Jesper Bonde3, Kate Cushieri4, Mario Poljak5.   

Abstract

Entities:  

Keywords:  Cervical cancer screening; Diagnostic test accuracy; Human papillomavirus; Validation of tests

Mesh:

Year:  2022        PMID: 36114549      PMCID: PMC9482297          DOI: 10.1186/s12967-022-03627-w

Source DB:  PubMed          Journal:  J Transl Med        ISSN: 1479-5876            Impact factor:   8.440


× No keyword cloud information.
In primary cervical cancer screening, it is crucial to use only hrHPV tests that are clinically validated according to international guidelines in order to reduce the risks of missing relevant disease and of over-treatment. In the recent J Transl Med [1] paper, Avian et al. concluded that the HPV Selfy assay (Ulisse BioMed, Trieste, Italy) fulfils international validation criteria for hrHPV testing on clinician-collected cervical samples (Meijer guidelines) [2] as well as by extension on self-collected vaginal samples (VALHUDES) [3]. Our perception is that the study by Avian et al. has certain limitations that are worthy of consideration and which may call into question certain conclusions. Validation requires an appropriately composed study population comprising a sufficient number of diseased subjects, derived from a continuous screening population or from a clearly described selection of CIN2+ cases and < CIN2 controls [4]. Avian et al. compiled cervical specimens for testing with HC2 (standard comparator test) and with the new HPV Selfy (index test) [1], but it remains unclear how the study population was composed. With 98 CIN2+ and 791 ≤ CIN1 subjects it was obviously not a continuous screening population, so more granularity on this would have been welcome. Additionally, detail on how non-disease was defined, which is essential for the evaluation of clinical specificity, was lacking. The reported absolute sensitivity for CIN2+ of the HC2 comparator test was 82.7%, which was substantially lower than the sensitivities observed in validation studies following the VALGENT or Meijer protocols included in a meta-analysis (Fig. 1) [5]. This may rise suspicion of a certain degree of histological over-classification. Nonetheless, we verified the data matrices in Table 2 in Avian et al. [1] and confirm the correctness of the non-inferiority statistics (Table 1).
Fig. 1

Sensitivity of the HC2 assay (standard comparator used in validation of hrHPV assays) in studies included in the 2020 list of HPV assays validated for cervical screening [5] that applied the Meier [2] or VALGENT [4] validation protocols (on top) or included in the study of Avian et al. [1] (at the bottom)

Table 1

Computation of the relative specificity to exclude cervical intra-epithelial neoplasia of grade 2 or worse of Selfy on self-samples (SS) vs clinician-taken samples (clin) and non-inferiority statistics

Correct statistic
Selfy clin−Selfy clin+
Selfy SS−70816724
Selfy SS+373067
74546791
Specificity Selfy SS = 724/791 = 91.5%
Specificity Selfy clin = 745/791 = 94.2%
Relative specificity SS/clin0.97(95% CI 0.95–0.99)*
T non inferiority− 0.86
p non-inferiority0.81

In italics: non-inferiority statistic reported by Avian et al. [1] which was due to erroneous switching the values 37 and 16. In fact this reported statistic reflects that Selfy on clin samples is not inferior to SS samples

Sensitivity of the HC2 assay (standard comparator used in validation of hrHPV assays) in studies included in the 2020 list of HPV assays validated for cervical screening [5] that applied the Meier [2] or VALGENT [4] validation protocols (on top) or included in the study of Avian et al. [1] (at the bottom) Computation of the relative specificity to exclude cervical intra-epithelial neoplasia of grade 2 or worse of Selfy on self-samples (SS) vs clinician-taken samples (clin) and non-inferiority statistics In italics: non-inferiority statistic reported by Avian et al. [1] which was due to erroneous switching the values 37 and 16. In fact this reported statistic reflects that Selfy on clin samples is not inferior to SS samples The claim that HPV Selfy on self-samples was non-inferior to clinician-collected samples was flawed by critical statistical errors. The number of subjects with discordant self+ /clinician− and self−/clinician+ results (b and c cells in Table 4, in Avian et al. [1]) in the recommended formula for comparison of matched proportions were switched yielding reported p values < 0.05. Correct data entry would have generated non-inferiority p values 0.35 and 0.81 for sensitivity and specificity, respectively. The corresponding relative sensitivity and relative specificity for CIN2+ and 95% confidence intervals (not reported by authors) were 0.92 (95% CI 0.81–1.00) and 0.97 (95% CI 0.95–0.99), respectively, indicating non-significantly lower sensitivity and significantly lower specificity of HPV Selfy on self-versus clinician-collected samples. Collaborations between science and industry are instrumental to advance clinical research, however contractual independency of researchers and autonomy of publication enhance scientific credibility. We observe that sixteen of thirty six authors (including the first and last) of the JTM paper are affiliated with the manufacturer of the assay. In the 2020 list of validated HPV assays [5], assays evaluated by test developers were down-graded to “partially validated” if all other validation criteria were fulfilled. This principle may also apply on the HPV Selfy assessment [1]. We recommend test developers, HPV experts and collaborating epidemiologists or statisticians to design validation studies according to internationally established protocols and evaluation methodologies. Journal editors should take this advice into account as well.
  5 in total

1.  VALHUDES: A protocol for validation of human papillomavirus assays and collection devices for HPV testing on self-samples and urine samples.

Authors:  M Arbyn; E Peeters; I Benoy; D Vanden Broeck; J Bogers; P De Sutter; G Donders; W Tjalma; S Weyers; K Cuschieri; M Poljak; J Bonde; C Cocuzza; F H Zhao; S Van Keer; A Vorsters
Journal:  J Clin Virol       Date:  2018-08-22       Impact factor: 3.168

2.  Clinical validation of full HR-HPV genotyping HPV Selfy assay according to the international guidelines for HPV test requirements for cervical cancer screening on clinician-collected and self-collected samples.

Authors:  Alice Avian; Nicolò Clemente; Elisabetta Mauro; Vincenzo Canzonieri; Francesco Sopracordevole; Fabrizio Zanconati; Rudy Ippodrino; Erica Isidoro; Michela Di Napoli; Sandra Dudine; Anna Del Fabro; Stefano Morini; Tiziana Perin; Fabiola Giudici; Tamara Cammisuli; Nicola Foschi; Marco Mocenigo; Michele Montrone; Chiara Modena; Martina Polenghi; Luca Puzzi; Vjekoslav Tomaic; Giulio Valenti; Riccardo Sola; Shivani Zanolla; Enea Vogrig; Elisabetta Riva; Silvia Angeletti; Massimo Ciccozzi; Santina Castriciano; Maria Pachetti; Matteo Petti; Sandro Centonze; Daniela Gerin; Lawrence Banks; Bruna Marini
Journal:  J Transl Med       Date:  2022-05-17       Impact factor: 8.440

3.  Guidelines for human papillomavirus DNA test requirements for primary cervical cancer screening in women 30 years and older.

Authors:  Chris J L M Meijer; Johannes Berkhof; Philip E Castle; Albertus T Hesselink; Eduardo L Franco; Guglielmo Ronco; Marc Arbyn; F Xavier Bosch; Jack Cuzick; Joakim Dillner; Daniëlle A M Heideman; Peter J F Snijders
Journal:  Int J Cancer       Date:  2009-02-01       Impact factor: 7.396

Review 4.  VALGENT: A protocol for clinical validation of human papillomavirus assays.

Authors:  Marc Arbyn; Christophe Depuydt; Ina Benoy; Johannes Bogers; Kate Cuschieri; Markus Schmitt; Michael Pawlita; Daan Geraets; Isabelle Heard; Tarik Gheit; Massimo Tommasino; Mario Poljak; Jesper Bonde; Wim Quint
Journal:  J Clin Virol       Date:  2015-10-08       Impact factor: 3.168

5.  2020 list of human papillomavirus assays suitable for primary cervical cancer screening.

Authors:  Marc Arbyn; Marie Simon; Eliana Peeters; Lan Xu; Chris J L M Meijer; Johannes Berkhof; Kate Cuschieri; Jesper Bonde; Anja Ostrbenk Vanlencak; Fang-Hui Zhao; Remila Rezhake; Murat Gultekin; Joakim Dillner; Silvia de Sanjosé; Karen Canfell; Peter Hillemanns; Maribel Almonte; Nicolas Wentzensen; Mario Poljak
Journal:  Clin Microbiol Infect       Date:  2021-05-08       Impact factor: 8.067

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.