Literature DB >> 24355194

Prevalence, distribution, and viral burden of all 15 high-risk human papillomavirus types in adenosquamous carcinoma of the uterine cervix: a multiplex real-time polymerase chain reaction-based study.

M Ruhul Quddus1, Pradip Manna2, C James Sung3, Spencer Kerley2, Margaret M Steinhoff3, W Dwayne Lawrence3.   

Abstract

Human papillomavirus (HPV) 16 and 18 are the types most commonly found in cervical adenosquamous carcinoma. Multiple HPV types have been found in cervical adenocarcinoma but not in the adenosquamous variant. Type-specific detection of high-risk (HR) HPV allows the detection of co-infection by multiple HPV types and assessment of viral load per cell. Our aim was to identify and quantify all HR HPV types in cervical adenosquamous carcinoma and to correlate viral loads with prognosis-related histologic features. All 15 HR HPV types were tested for by multiplex real-time polymerase chain reaction, and standard curves were created for each type. Viral loads were determined retrospectively. Prognosis-related histologic features were correlated with specific HPV types and the viral loads. A total of 80% of the tumors examined expressed HPV. Types 16/18 were detected in 86% of these cases, whereas the remaining 14% of the positive cases were infected by other types. A single type of virus was detected in 67% of cases, 2 in 29%, and 3 in 4%. Poor prognostic features were seen in 84.6% of the tumors infected with HPV 16, 46% of those infected with HPV 18, and 100% of those infected with other types. As expected, HPV 16, HPV 18, or both were the most frequent viral types; HPV 73 was the next most frequent type. Multiple HPV types were detected in 33% of the tumors. Non-HPV 16/18 cases had low viral loads, but all of these had poor prognosis-related histologic features. Two of the three recurrent cases had multiple viral types.
© 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Adenosquamous carcinoma; Cervical cancer; Human papillomavirus

Mesh:

Substances:

Year:  2013        PMID: 24355194     DOI: 10.1016/j.humpath.2013.07.048

Source DB:  PubMed          Journal:  Hum Pathol        ISSN: 0046-8177            Impact factor:   3.466


  6 in total

1.  HPV73 a nonvaccine type causes cervical cancer.

Authors:  Sergio M Amaro-Filho; Ana Gradissimo; Mykhaylo Usyk; Fabio C B Moreira; Liz M de Almeida; Miguel A M Moreira; Robert D Burk
Journal:  Int J Cancer       Date:  2019-04-29       Impact factor: 7.396

2.  Frequency of rare and multi viral high-risk HPV types infection in cervical high grade squamous intraepithelial lesions in a non-native dominant middle eastern country: a polymerase chain reaction-based pilot study.

Authors:  Alia Albawardi; M Ruhul Quddus; Shamsa Al Awar; Saeeda Almarzooqi
Journal:  Diagn Pathol       Date:  2018-06-26       Impact factor: 2.644

Review 3.  Refining our understanding of cervical neoplasia and its cellular origins.

Authors:  John Doorbar; Heather Griffin
Journal:  Papillomavirus Res       Date:  2019-04-08

4.  Type distribution of human papillomavirus among adult women diagnosed with invasive cervical cancer (stage 1b or higher) in New Zealand.

Authors:  Peter Sykes; Kusuma Gopala; Ai Ling Tan; Diane Kenwright; Simone Petrich; Anco Molijn; Jing Chen
Journal:  BMC Infect Dis       Date:  2014-07-08       Impact factor: 3.090

5.  The degree of intratumor mutational heterogeneity varies by primary tumor sub-site.

Authors:  Levi G Ledgerwood; Dhruv Kumar; Agda Karina Eterovic; Jo Wick; Ken Chen; Hao Zhao; Loubna Tazi; Pradip Manna; Spencer Kerley; Radhika Joshi; Lin Wang; Simion I Chiosea; James David Garnett; Terance Ted Tsue; Jeremy Chien; Gordon B Mills; Jennifer Rubin Grandis; Sufi Mary Thomas
Journal:  Oncotarget       Date:  2016-05-10

6.  Rare subtype(s) and frequency of multi-viral subtype high-risk human papilloma virus infection in high-grade squamous intraepithelial lesion and squamous cell carcinoma in a cervical carcinoma prevalent developing country: a multiplex real-time polymerase chain reaction-based pilot study.

Authors:  Shabnam Akhter; Pradip Manna; Mohammed Kamal; C James Sung; W Dwayne Lawrence; M Ruhul Quddus
Journal:  Diagn Pathol       Date:  2016-09-22       Impact factor: 2.644

  6 in total

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