Clinical Performance of Roche COBAS 4800 HPV Test

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JCM Accepts, published online ahead of print on 9 April 2014 J. Clin. Microbiol. doi:10.1128/jcm.00883-14 Copyright 2014, American Society for Microbiology. All Rights Reserved. 1 1 2 3 4 5 6 Clinical Performance of Roche COBAS 4800 HPV Test Miao Cui, Nicholas Chan, Momo Liu, Khanh Thai, Joanna Malaczynska, Ila Singh, David Zhang, and Fei Ye # Department of Pathology, Mount Sinai School of Medicine, New York, NY 10029, USA 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 # Corresponding Author: Fei Ye PhD Department of Pathology Mount Sinai School of Medicine New York, NY 10029, USA Tel: 212-659-8137; Fax: 212-659-8230 fei.ye@mssm.edu

2 37 38 39 40 41 ABSTRACT Evaluation of Cobas 4800 Test demonstrated that Cobas had a low rate of lrhpv cross reactivity, 3.74% dis-concordance rate between pre-aliquots and post-aliquots, and failure rates of 4.57% and 1.16% respectively after vortexing and swirling. This study demonstrated that Cobas has good sensitivity, accuracy, and reproducibility to detect 14 hrhpv genotypes. 42 43 44 45 46 47 48 49 50 51

3 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 The human papillomavirus (HPV) is one of the most common sexually transmitted viruses worldwide and a major contributor to cancer, causing almost 60,000 new cancer cases 1 and leading to the development of cervical cancer in women. HPV16 and HPV18 are the most carcinogenic 2,3, as approximately 70% of all cervical cancers present with HPV16 or HPV18 infections 4. Almost 30% of cervical cancer patients are missed by initial cervical cytology screening 5, so accurate and objective tests for HPV associated cervical cancer that use more sensitive molecular techniques are necessary to provide effective prevention and treatment to reduce future risks and incidence of cervical cancer. The Roche Cobas 4800 HPV Test (Cobas) is a novel molecular method based on Real Time Polymerase Chain Reaction (RT PCR) 6,7, with a fully automated system allowing for quick and efficient sample processing. Cobas can detect HPV16, HPV18, 12 other high risk HPV (hrhpv) (31, 33, 35, 39, 45, 51, 52, 56, 58, 59, 66, 68, as a pooled result), and the β globin control independently in the same PCR reaction. The primary purpose of our study was to evaluate the technical and clinical performance characteristics of Cobas. Cervical samples from 6,056 women referred to the Department of Pathology at the Icahn School of Medicine at Mount Sinai for routine examination of cervical lesions between November 2011 and February 2012 were collected in a liquid based cytology medium (PreservCyt, Hologic, Marlborough, MA) and stored at 4 C until use. 180 specimens were tested for hrhpv genotypes by both Roche Cobas 4800 HPV Test and Digene Hybrid Capture 2 (HC2) hrhpv DNA Test, with any discrepancies resolved using the Linear Array (LA) HPV Genotyping Test (Roche Molecular Systems, Pleasanton, CA) 8. According to Pearson s Chi Square Test, there was a significant difference in the number of positive and negative samples identified by the two HPV tests (Pearson Chi Square, p<0.001).

4 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 However, the concordance between the two tests was statistically strong, with an agreement level of 88.33% (p=0.0218) and Cohen s kappa coefficient of 0.767 (95% CI: 0.674 to 0.860, p<0.001), where 95% confidence intervals of the kappa values were deduced from a binomial distribution. In the discordant samples, the LA HPV Test detected low risk HPV (lrhpv) genotypes in 50% (2/4) of the samples that were HC2 positive/cobas negative, and in 13.33% (2/15) of samples that were HC2 negative/cobas positive. HPV53 was found in two samples that were HC2 positive/cobas negative, suggesting that the probes in the Digene Kit cross reacted with this HPV genotype. This observation is unsurprising since the cross reactivity of the HC2 test with lrhpv genotypes, specifically HPV53, has previously been observed 9. The consequence of lrhpv genotype cross reactivity in an HPV test is an increased number of false positive results. This could lead to over investigation and overtreatment through follow up testing of women who possess only lrhpv genotypes and are actually at low risks of developing cervical cancer. In two HC2 negative/cobas positive samples, HPV62 and HPV89 (CP6108) were detected in both samples and HPV42, HPV54, HPV55, HPV61, HPV70, and HPV84 were detected in one of the samples, suggesting that mixed infection of HPV leads to false positive results by the Cobas HPV Test. The LA HPV Test detected hrhpv genotypes in none of the samples that were HC2 positive/cobas negative (0/4), while in 80% (12/15) of the samples that were HC2 negative/ Cobas positive. The HC2 Test failed to detect hrhpv in these samples, which indicates that the HC2 Test missed more hrhpv genotypes than the Cobas Test, implying that Cobas is a potentially more effective screening assay due to better sensitivity and accuracy. In contrast, HPV was not detected by the LA HPV Test in 6.67% (1/15) of the HC2 negative/cobas positive samples. Overall, however, the difference in detecting hrhpv between HC2 and Cobas tests was

5 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 still statistically insignificant (χ 2 =2.901, p=0.0885). Sixty eight samples were then used to determine the reproducibility of the Cobas HPV Test. The reproducibility between the initial and repeat tests, as calculated with a standard 2x2 contingency table, was 93.55%; the kappa coefficient between results of the first and second rounds of Cobas testing was 0.869 (95% CI: 0.744 to 0.993, p<0.001). The strength of this agreement is considered to be very good, suggesting that the assay is highly reliable. 187 samples were tested by the Cobas HPV Test to determine the difference in HPV detection between pre aliquoted and post aliquoted samples. Only 7 samples were mismatched, for a rate of 3.74% (95% CI: 1.02% to 6.46%). Statistical analysis has revealed that the difference between pre aliquoted and post aliquoted samples was not significant (χ 2 =0.233, p=0.36290). Since no increase in HPV positive rate was observed before and after the cytology process (pre aliquot vs. post aliquot), cross contamination of specimens during cytology processing is extremely rare. HPV testing after cytology can significantly improve workflow and reduce unnecessary aliquoting when reflex HPV test for abnormal cytology is intended. Finally, 5621 samples were tested using the Cobas HPV Test to determine the effects of vortexing and swirling (before Cobas testing) on failure rates. Among 1,380 samples processed by vortexing, the failure rate was 4.57% (95% CI: 3.65% to 5.91%). In contrast, among 4,241 processed by swirling, the failure rate was 1.16% (95% CI: 0.84% to 1.48%). Pearson s Chi Square Test revealed that the differences of the failure rates between vortexed and gently swirled samples were extremely significant (χ 2 =59.983, p<0.0001), with gentle swirling recommended to decrease Cobas failure rate. In conclusion, the Cobas 4800 HPV Test demonstrated a greater degree of sensitivity and specificity in detecting hrhpv genotypes than the Digene HC2 hrhpv Test. The Cobas Test also

6 121 122 123 had a lower level of cross reactivity with lrhpv genotypes than the HC2 Test, as evidenced by the fewer false positive cases. However, the difference in overall performance between these two tests is statistically not significant. 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 REFERENCES

7 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 1. Parkin DM. 2006. The global health burden of infection-associated cancers in the year 2002. Int. J. Cancer 118(12): 3030 3044. 2. Li N, Franceschi S, Howell-Jones R, Snijders PJ, Clifford GM. 2011. Human papillomavirus type distribution in 30,848 invasive cervical cancers worldwide: variation by geographical region, histological type and year of publication. Int. J. Cancer 128(4): 927 935. 3. Bosch FX, Burchell AN, Schiffman M, Giuliano AR, de Sanjosé S, Bruni L, Tortolero-Luna G, Kjaer SK, Muñoz N. 2008. Epidemiology and natural history of human papillomavirus infections and type-specific implications in cervical neoplasia. Vaccine 26(Suppl 10): K1 K16. 4. Muñoz N, Bosch FX, Castellsagué X, Díaz M, de Sanjosé S, Hammouda D, Shah KV, Meijer CJ. 2004. Against which human papillomavirus types shall we vaccinate and screen? The international perspective. Int. J. Cancer 111(2): 278 285. 5. Spence AR, Goggin P, Franco EL. 2007. Process of care failures in invasive cervical cancer: systematic review and meta-analysis. Prev. Med. 45(2 3): 93 106. 6. Higuchi R, Dollinger G, Walsh PS, Griffith R. 1992. Simultaneous amplification and detection of specific DNA sequences. Nature Biotechnology 10(4): 413 417. 7. Heid CA, Stevens J, Livak KJ, Williams PM. 1996. Real time quantitative PCR. Genome Res. 6(10): 986 994. 8. Liu SS, Leung RC, Chan KK, Cheung AN, Ngan HY. 2010. Evaluation of a newly developed GenoArray human papillomavirus (HPV) genotyping assay and comparison with the Roche Linear Array HPV genotyping assay. J. Clin. Microbiol. 48(3): 758 764. 9. Lindemann ML, Dominguez MJ, de Antonio JC, Sandri MT, Tricca A, Sideri M,

8 167 168 169 Khiri H, Ravet S, Boyle S, Aldrich C, Halfon P. 2012. Analytical comparison of the cobas HPV Test with Hybrid Capture 2 for the detection of high-risk HPV genotypes. J. Mol. Diagn. 14(1): 65 70. 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 Table 1: Comparison Between HC2 and Cobas HPV Tests

9 HC2 HPV Test HPV + HPV - Indeterminate Total Cobas HPV Test HPV + 72 15 7 94 HPV - 4 80 2 86 Total 76 95 9 180 190