Comparison of human papillomavirus genotypes in archival cervical cancer specimens from Alaska natives, Greenland natives and Danish Caucasians

Sebbelov, Anne M.; Davidson, Michael; Kjær, Susanne K.; Jensen, Henning Tarp; Grégoire, Lucie; Hawkins, Ileanna; Parkinson, Alan J.; Norrild, Bodil

doi:10.1016/s1286-4579(00)00276-8

Cited by 32 publications

(39 citation statements)

References 39 publications

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“…The very low rate of HPV-16 infection in cervical cancer is contrary to the previous reports of high infection rate of this high risk type in different populations ( Table 2 ). 17,19,21 However, it is comparable to the results of some other studies. 13,18,22 The study of Castellsague in Mozambique 13 has shown that there may be differences in the dominant HPV types in different populations and regions.…”

Section: Discussionsupporting

confidence: 88%

“…In total, 87.1% of studied samples were positive for the presence of HPV DNA, which was comparable with the results of some previous studies in Danish, Belgian, Brazilian and Chinese patients. [17][18][19][20] Genotyping for HPV-16 and HPV-18 revealed that 26.7% of HPV positive samples were HPV-16 DNA positive, however, none of them were positive for HPV-18 DNA. The very low rate of HPV-16 infection in cervical cancer is contrary to the previous reports of high infection rate of this high risk type in different populations ( Table 2 ).…”

Section: Discussionmentioning

confidence: 99%

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High risk HPV types in southern Iranian patients with cervical cancer

Farjadian

Asadi

Doroudchi

et al. 2003

Pathol. Oncol. Res.

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Section: Discussionsupporting

confidence: 88%

Section: Discussionmentioning

confidence: 99%

High risk HPV types in southern Iranian patients with cervical cancer

Farjadian

Asadi

Doroudchi

et al. 2003

Pathol. Oncol. Res.

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“…70 These different genotype frequencies could indicate a peculiar distribution pattern of HPV genotypes, probably reflecting the geographic origins of samples, as also previously noted for cervical HPV infections. 71,72 Interestingly, in another geographic area (Shanghai, People's Republic of China), HPV-18 was found, alone or mixed with genotype 16, in OSCC and normal mucosa. 73 The present study, although limited by a small sample size, confirms findings on HPV-positive OSCC, indicating a different behavior of HPV-negative with respect to HPV-positive OSCC, consistent with the hypothesis of a complex relationship between HR HPV infection and either apoptosis or proliferation in malignant oral lesions.…”

Section: Discussionmentioning

confidence: 97%

Expression of cell cycle markers and human papillomavirus infection in oral squamous cell carcinoma: Use of fuzzy neural networks

Muzio

D’Angelo

Procaccini

et al. 2005

Intl Journal of Cancer

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Our aim was to evaluate in oral squamous cell carcinoma (OSCC) the relationship between some cell cycle markers and HPV infection, conditionally to age, gender and certain habits of patients, and to assess the ability of fuzzy neural networks (FNNs) in building up an adequate predictive model based on logic inference rules. Eighteen cases of OSCC were examined by immunohistochemistry for MIB-1, PCNA and survivin expression; presence of HPV DNA was investigated in exfoliated oral mucosa cells by nested PCR (nPCR, MY09-MY11/GP5-GP6), and HPV genotype was determined by direct DNA sequencing. Data were analyzed by traditional statistics (TS) and FNNs. HPV DNA was found in 9/18 OSCCs (50.0 %) without any significant higher risk of HPV infection with respect to the sociodemographic variables considered ( p > 0.2), apart from tobacco smoking, reported in 44.4% of OSCC HPV-positive vs. 100% HPV-negative subjects ( p = 0.029). Regarding cell cycle markers, TS and FNN revealed that survivin was expressed significantly more in HPV-negative than in HPVpositive OSCC [root mean-square error (RMSE) = 5.89 3 10 -6 , % predicted 100.0]; furthermore, smoking played a protective role for survivin expression in HPV-positive cases (OR = 0.019, 95%CI 0.001-0.723, RMSE = 0.20, % of prevision 94.4). FNN, although on a small sample size, allowed us to confirm data by TS and to hypothesize a different cell cycle pattern for HPV-positive vs. HPV-negative OSCC. In the latter cases, the relevance of apoptotic vs. proliferative markers suggested that they may be related to the different supposed outcome of HPV-negative OSCC and that HPV may have a protective role in the expression level of survivin, especially in tobacco smokers. ' 2005 Wiley-Liss, Inc.Key words: human papillomavirus; survivin; oral squamous cell carcinoma; fuzzy neural network; carcinogenesis OSCC is rapidly increasing in incidence and represents the most frequent malignant oral tumor. The incidence of metastasis depends on the degree of cellular differentiation, deep invasion and site of the primary tumor; however, outcome is difficult to predict if only standard clinicopathologic parameters are taken into account. Biologic markers that can help to identify lesions with an aggressive phenotype and worse prognosis need to be identified.Since the majority of human neoplasms are characterized by an imbalance of the regulatory cell cycle control processes, the study of OSCC using the expression of proteins involved in the critical checkpoints of cell apoptosis and growth starts by elucidating the processes of carcinogenesis and appears to have good prognostic value. 1 Indeed, we know that apoptosis, or programmed cell death, and its suppression are involved in the carcinogenesis of several tumors; this process, mediated by caspases and cysteine proteinases present as proenzymes, is inhibited by several proteins, such as those of the Bcl-2 and IAP families. Survivin is an IAP protein, which is abundantly expressed in most solid and hematologic malignancies but undetectable in ...

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“…The work of genotyping with PCR-based methods usually involves restriction fragment length polymorphism (RFLP), 18,19 hybridization with multiple oligonucleotide probes by either dot blot, southern blot, 13,20 in situ hybridization, 6,21 or enzyme-linked immunoassay, 22 direct sequencing, 5,6,17,23,24 or denaturing high performance liquid chromatography, 25 which are all laborious. Multiple infections cannot be identified simultaneously using direct sequencing, 17,24 and restriction enzyme analysis is also limited in resolving multiple types.…”

Section: Discussionmentioning

confidence: 99%

Human papillomavirus genotype in cervical cancer: A population‐based study

Lai

Huang

Hsueh

et al. 2007

Intl Journal of Cancer

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Our aim was to investigate the human papillomavirus (HPV) genotype distribution and correlation between HPV parameters and clinicopathological variables in cervical carcinoma treated in a large tertiary referral medical center in Taiwan. Consecutive patients treated for cervical carcinoma (Stages I-IV according to the International Federation of Gynecology and Obstetrics) between 1993 and 2000 were included. HPV genotyping using SPF1/GP61 PCR was performed, followed by hybridization with a genechip (Easychip 1 HPV Blot, King Car, Taiwan). E6 typespecific PCR was performed to validate multiple-type. HPV-negative samples were further verified by type-specific PCR and a repeat HPV Blot. A total of 2,118 patients were eligible for analysis. HPV DNA sequences were detected in 96.6% (95% CI, 95.8-97.4%) of the specimens, among which 82% harbored single-type and 18% contained multiple-type HPV sequences. Thirty-five types of HPV were identified and the leading 8 were HPV16 (50.0%), HPV18 (17.8%), HPV58 (16.3%), HPV33 (8.7%), HPV52 (6.8%), HPV39 (3.0%), HPV45 (2.5%) and HPV31 (2.3%). HPV58 or 33 or 52 was detected in 30.3% (641/2,118). By multivariate analysis, HPV58-or 33-or 52-infection was significantly associated with older age (p < 0.001) and primary radiotherapy or concurrent chemoradiation (RT/CCRT) (p < 0.001). Among HPV-positive cases, multiple-type was more frequently seen in those receiving primary RT/CCRT (p < 0.001). The knowledge of HPV genotype distribution will form a basis for guidelines in HPV-based cervical cancer screening and cost-effective multivalent HPV vaccine policy in Taiwan and in the world. The association between HPV parameters and clinicopathological variables warrants further investigations. ' 2007 Wiley-Liss, Inc.Key words: human papillomavirus; PCR; genotype; cervical cancer; genechip Cervical cancer is one of the most common female genital cancers worldwide.1 There is strong epidemiological and molecular evidence indicating that human papillomavirus (HPV) infection is a necessary event in the development of cervical intraepithelial lesions and subsequent invasive carcinoma.2-5 Anogenital HPVs have been divided into risk groups according to the frequency of their presence in cervical carcinoma. Low-risk HPV types include HPV6,11,40, 42, 43, 44, 54, 61, 70, 72, 81 and CP6108. High-risk HPV types are represented essentially by HPV16,18,31,33,35,39, 45, 51, 52, 56, 58, 59, 68 and 82 (MM4). The third group, called probably carcinogenic types, is represented by HPV26, 53 and 66. 2 With the advancement of technology such as polymerase chain reaction (PCR), the sensitivity of detecting HPV DNA has been possible for as low as 1-50 copies of virus in a sample. Several type-specific PCR primer sets and general (consensus) primer sets such as MY09/MY11 and GP51/GP61 are widely used. Although the sensitivity of in situ hybridization is limited, it permits localization of HPV DNA in the sample. 6 However, even with the combinations of type-specific and general primer sets, the sensitivity is li...

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Comparison of human papillomavirus genotypes in archival cervical cancer specimens from Alaska natives, Greenland natives and Danish Caucasians

Cited by 32 publications

References 39 publications

High risk HPV types in southern Iranian patients with cervical cancer

High risk HPV types in southern Iranian patients with cervical cancer

Expression of cell cycle markers and human papillomavirus infection in oral squamous cell carcinoma: Use of fuzzy neural networks

Human papillomavirus genotype in cervical cancer: A population‐based study

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