PURPOSE: To determine the association between human papillomavirus (HPV) type and prognosis of patients with invasive cervical carcinoma. PATIENTS AND METHODS: Patients diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage IB to IV cervical cancer between 1986 and 1997 while residents of three Washington State counties were included (n = 399). HPV typing was performed on paraffin-embedded tumor tissue using polymerase chain reaction methods. Patients were observed for a median of 50.8 months. Total mortality (TM) and cervical cancer-specific mortality (CCSM) were determined. Hazards ratios (HR) adjusted for age, stage, and histologic type were estimated using multivariable models. RESULTS: Eighty-six patients had HPV 18-related tumors and 210 patients had HPV 16-related tumors. Cumulative TM among patients with HPV 18-related tumors and among patients with HPV 16-related tumors were 33.7% and 27.6%, respectively; cumulative CCSM in these two groups were 26.7% and 18.1%, respectively. Compared with patients with HPV 16-related cancers, patients with HPV 18-related cancers were at increased risk for TM (HR(TM), 2.2; 95% confidence interval [CI], 1.3 to 3.6) and CCSM (HR(CCSM), 2.5; 95% CI, 1.4 to 4.4). The HPV18 associations were strongest for patients with FIGO stage IB or IIA disease (HR(TM), 3.1; 95% CI, 2.3 to 4.2; and HR(CCSM), 5.8; 95% CI, 3.9 to 8.7), whereas no associations were observed among patients with FIGO stage IIB to IV disease. Virtually identical associations were found in the subset of patients with squamous cell carcinoma (n = 219). CONCLUSION: HPV 18-related cervical carcinomas, particularly those diagnosed at an early stage, are associated with a poor prognosis. Elucidating the mechanism or mechanisms underlying this association could lead to new treatment approaches for patients with invasive cervical carcinoma.
PURPOSE: To determine the association between human papillomavirus (HPV) type and prognosis of patients with invasive cervical carcinoma. PATIENTS AND METHODS: Patients diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage IB to IV cervical cancer between 1986 and 1997 while residents of three Washington State counties were included (n = 399). HPV typing was performed on paraffin-embedded tumor tissue using polymerase chain reaction methods. Patients were observed for a median of 50.8 months. Total mortality (TM) and cervical cancer-specific mortality (CCSM) were determined. Hazards ratios (HR) adjusted for age, stage, and histologic type were estimated using multivariable models. RESULTS: Eighty-six patients had HPV 18-related tumors and 210 patients had HPV 16-related tumors. Cumulative TM among patients with HPV 18-related tumors and among patients with HPV 16-related tumors were 33.7% and 27.6%, respectively; cumulative CCSM in these two groups were 26.7% and 18.1%, respectively. Compared with patients with HPV 16-related cancers, patients with HPV 18-related cancers were at increased risk for TM (HR(TM), 2.2; 95% confidence interval [CI], 1.3 to 3.6) and CCSM (HR(CCSM), 2.5; 95% CI, 1.4 to 4.4). The HPV18 associations were strongest for patients with FIGO stage IB or IIA disease (HR(TM), 3.1; 95% CI, 2.3 to 4.2; and HR(CCSM), 5.8; 95% CI, 3.9 to 8.7), whereas no associations were observed among patients with FIGO stage IIB to IV disease. Virtually identical associations were found in the subset of patients with squamous cell carcinoma (n = 219). CONCLUSION:HPV 18-related cervical carcinomas, particularly those diagnosed at an early stage, are associated with a poor prognosis. Elucidating the mechanism or mechanisms underlying this association could lead to new treatment approaches for patients with invasive cervical carcinoma.
Authors: Janet S Rader; Shirng-Wern Tsaih; Daniel Fullin; Miriam W Murray; Marissa Iden; Michael T Zimmermann; Michael J Flister Journal: Int J Cancer Date: 2019-01-04 Impact factor: 7.396
Authors: Isabel J Latorre; Michael H Roh; Kristopher K Frese; Robert S Weiss; Ben Margolis; Ronald T Javier Journal: J Cell Sci Date: 2005-09-01 Impact factor: 5.285
Authors: Philip E Castle; Ruth Shaber; Brandon J LaMere; Walter Kinney; Barbara Fetterma; Nancy Poitras; Thomas Lorey; Mark Schiffman; Anne Dunne; Janae M Ostolaza; Sharod McKinney; Robert D Burk Journal: Cancer Epidemiol Biomarkers Prev Date: 2011-03-17 Impact factor: 4.254
Authors: Andrew Feber; Manit Arya; Patricia de Winter; Muhammad Saqib; Raj Nigam; Peter R Malone; Wei Shen Tan; Simon Rodney; Matthias Lechner; Alex Freeman; Charles Jameson; Asif Muneer; Stephan Beck; John D Kelly Journal: Clin Cancer Res Date: 2014-12-23 Impact factor: 12.531
Authors: Ralph P Insinga; Kai-Li Liaw; Lisa G Johnson; Margaret M Madeleine Journal: Cancer Epidemiol Biomarkers Prev Date: 2008-07 Impact factor: 4.254