OBJECTIVE: To describe women diagnosed with cervical intraepithelial neoplasia-grade 3 (CIN-3) diagnosed over the 2-year duration of the atypical squamous cells of undetermined significance (ASCUS) and low-grade squamous intraepithelial lesion (LSIL) Triage Study (ALTS) that tested negative for high-risk human papillomavirus (HPV) at enrollment. METHODS: Clinical center pathologists and quality control pathology group reviewed all histology; any CIN-3 diagnosis on biopsy or loop electrosurgical excision procedure (n=621) by at least one pathology review over the duration of ALTS led to inclusion in this analysis. Enrollment cervical specimens were tested for high-risk HPV DNA by two HPV assays; results were combined to minimize simple testing errors. We compared the characteristics of baseline high-risk HPV-negative (n=33) to baseline high-risk HPV-positive (n=588) cumulative diagnosed CIN-3. RESULTS: High-risk HPV-negative CIN-3 cases were less likely to have a second, confirming diagnosis of CIN-3 (24% compared with 56%) by the other pathology group, were more likely to be diagnosed later in follow-up, and more likely to be referred into ALTS because of an ASCUS Pap test rather than an LSIL Pap. Upon review of case histories of the 33 baseline high-risk HPV-negative CIN-3 (5.3% of all cases), there was evidence that these cases were due to incident (new) cases (n=12, 1.9%), non-high-risk HPV (n=5, 0.8%), misclassified histology (n=8, 1.3%), and false-negative high-risk HPV (n=8, 1.3%). CONCLUSION: In any sizeable population, even among women with evidence of cytologic abnormalities, there will be a few cases of cervical precancer that will test high-risk HPV negative for one or more reasons.
OBJECTIVE: To describe women diagnosed with cervical intraepithelial neoplasia-grade 3 (CIN-3) diagnosed over the 2-year duration of the atypical squamous cells of undetermined significance (ASCUS) and low-grade squamous intraepithelial lesion (LSIL) Triage Study (ALTS) that tested negative for high-risk human papillomavirus (HPV) at enrollment. METHODS: Clinical center pathologists and quality control pathology group reviewed all histology; any CIN-3 diagnosis on biopsy or loop electrosurgical excision procedure (n=621) by at least one pathology review over the duration of ALTS led to inclusion in this analysis. Enrollment cervical specimens were tested for high-risk HPV DNA by two HPV assays; results were combined to minimize simple testing errors. We compared the characteristics of baseline high-risk HPV-negative (n=33) to baseline high-risk HPV-positive (n=588) cumulative diagnosed CIN-3. RESULTS: High-risk HPV-negative CIN-3 cases were less likely to have a second, confirming diagnosis of CIN-3 (24% compared with 56%) by the other pathology group, were more likely to be diagnosed later in follow-up, and more likely to be referred into ALTS because of an ASCUS Pap test rather than an LSIL Pap. Upon review of case histories of the 33 baseline high-risk HPV-negative CIN-3 (5.3% of all cases), there was evidence that these cases were due to incident (new) cases (n=12, 1.9%), non-high-risk HPV (n=5, 0.8%), misclassified histology (n=8, 1.3%), and false-negative high-risk HPV (n=8, 1.3%). CONCLUSION: In any sizeable population, even among women with evidence of cytologic abnormalities, there will be a few cases of cervical precancer that will test high-risk HPV negative for one or more reasons.
Authors: Anna Gillio-Tos; Laura De Marco; Francesca Maria Carozzi; Annarosa Del Mistro; Salvatore Girlando; Elena Burroni; Helena Frayle-Salamanca; Paolo Giorgi Rossi; Paola Pierotti; Guglielmo Ronco Journal: J Clin Microbiol Date: 2013-06-26 Impact factor: 5.948
Authors: Philip E Castle; Ana Cecilia Rodríguez; Robert D Burk; Rolando Herrero; Sholom Wacholder; Allan Hildesheim; Jorge Morales; Greg Rydzak; Mark Schiffman Journal: J Infect Dis Date: 2011-03-15 Impact factor: 5.226
Authors: Philip E Castle; Mark Schiffman; Cosette M Wheeler; Nicolas Wentzensen; Patti E Gravitt Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-07 Impact factor: 4.254
Authors: Julia C Gage; Mark Schiffman; Diane Solomon; Cosette M Wheeler; Philip E Castle Journal: Cancer Epidemiol Biomarkers Prev Date: 2010-07 Impact factor: 4.254
Authors: Mark H Einstein; Katherine M Smith; Thomas E Davis; Kathleen M Schmeler; Daron G Ferris; Ashlyn H Savage; Jermaine E Gray; Mark H Stoler; Thomas C Wright; Alex Ferenczy; Philip E Castle Journal: J Clin Microbiol Date: 2014-04-09 Impact factor: 5.948
Authors: Philip E Castle; Mark Schiffman; Cosette M Wheeler; Nicolas Wentzensen; Patti E Gravitt Journal: Am J Epidemiol Date: 2009-12-10 Impact factor: 4.897
Authors: Kathryn Anastos; Donald R Hoover; Robert D Burk; Antonio Cajigas; Qiuhu Shi; Diljeet K Singh; Mardge H Cohen; Eugene Mutimura; Charles Sturgis; William C Banzhaf; Philip E Castle Journal: PLoS One Date: 2010-10-20 Impact factor: 3.240
Authors: Mahboobeh Safaeian; Mark Schiffman; Julia Gage; Diane Solomon; Cosette M Wheeler; Philip E Castle Journal: Cancer Res Date: 2009-04-07 Impact factor: 12.701