scholarly journals Prognostic significance of negative conversion of high-risk Human Papillomavirus DNA after treatment in Cervical Cancer patients

2020 ◽  
Vol 11 (20) ◽  
pp. 5911-5917
Author(s):  
Qingqing Chen ◽  
Runjun Shi ◽  
Zhengcao Liu ◽  
Zhouhong Shi ◽  
Ke Gu ◽  
...  
2003 ◽  
Vol 202 (2) ◽  
pp. 231-239 ◽  
Author(s):  
Andreas Widschwendter ◽  
Anya Blassnig ◽  
Annemarie Wiedemair ◽  
Elisabeth Müller-Holzner ◽  
Hannes M Müller ◽  
...  

2019 ◽  
Vol 29 (1) ◽  
pp. 10-16
Author(s):  
Gun Oh Chong ◽  
Hyung Soo Han ◽  
Ji Young Park ◽  
Seon Duk Lee ◽  
Yoon Hee Lee ◽  
...  

ObjectiveThe aim of this study was to detect high risk human papillomavirus in cervical cancer with a pretreatment negative high risk human papillomavirus DNA genotype test and to evaluate clinicopathologic characteristics and survival outcomes according to high risk human papillomavirus status.MethodsWe investigated high risk human papillomavirus status in surgical specimens from 30 cases of cervical cancer using polymerase chain reaction. Polymerase chain reaction primers were set to detect the presence of the common L1 and E7 regions of human papillomavirus types 16, 18, 31, 33, 45, 52, and 58. We analyzed the following clinicopathologic parameters to evaluate their relationships with high risk human papillomavirus status: age, histology, stage, tumor size, invasion depth, lymphovascular invasion, and recurrent status.ResultsAmong 30 cases with a pretreatment negative DNA genotype test, high risk human papillomavirus was detected in 12 (40.0%), whereas 18 (60.0%) were negatives. Of 12 high risk human papillomavirus positive cases, 10 (33.3%) were positive for the L1 region, 6 (20.0%) of the 7 types were positive for the E7 region, and 4 (13.1%) were positive for both L1 and E7 regions. According to a multiple logistic regression model, tumor size (odds ratio 7.80; 95% confidence interval 1.476 to 41.216; P=0.0097) and stage (odds ratio 7.00; 95% confidence interval 1.293 to 37.910; P=0.0173) were associated with negative high risk human papillomavirus DNA status. Kaplan–Meier survival plots showed that negative high risk human papillomavirus status was associated with worse disease free survival in contrast with positive high risk human papillomavirus status (P=0.0392).ConclusionsNegative high risk human papillomavirus was found in 60% of cervical cancers with a pretreatment negative DNA genotype test. Moreover, the negative high risk human papillomavirus group was associated with worse survival outcome.


2019 ◽  
Vol 153 (4) ◽  
pp. 502-512 ◽  
Author(s):  
Meng Cao ◽  
Ying Wang ◽  
Depu Wang ◽  
Yixin Duan ◽  
Wei Hong ◽  
...  

Abstract Objectives To evaluate the correlation between tumor-infiltrating lymphocytes (TILs) and the viral load of high-risk human papillomavirus (HR-HPV) in cervical cancer patients. Methods A total of 62 cervical cancer patients were recruited during 1993-1994 and assigned into four groups treated with radiotherapy alone or radiotherapy combined with chemotherapy and/or thermotherapy. Ki67+ tumor cells, CD4+, CD8+, FoxP3+, OX40+ and granzyme B+ TILs were detected by immunohistochemistry. The viral load of HR-HPV in biopsy tissues before therapy was detected by in situ hybridization. Results The patients with high HPV viral load showed a significantly lower 15-year survival rate and an advanced International Federation of Gynecology and Obstetrics (FIGO) stage and increased recurrence rate. The distribution of Ki67+ tumor cells, FoxP3+ TILs, and CD8+/FoxP3+ ratio was obviously different between low and high HPV viral load groups. A worse clinical outcome was also implicated with increased HPV viral load tested by Cox regression analysis. Conclusions Patients with increased HR-HPV viral load tend to be resistant to therapy with decreased immune surveillance in the immune microenvironment. Thus, HR-HPV viral load would influence the local immune microenvironment, and then further affect the survival of cervical cancer patients.


2013 ◽  
Vol 124 (2) ◽  
pp. 151-155 ◽  
Author(s):  
Keimari Mendez ◽  
Josefina Romaguera ◽  
Ana P. Ortiz ◽  
Mariel López ◽  
Martin Steinau ◽  
...  

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