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Human papillomavirus (HPV) is an oncogenic virus in cervical cancer and most invasive carcinomas (ICs) are caused by HPV16 and 18. However, the roles and contributions of other uncommon and rare genotypes remain uncertain.
HPV genotypes were retrospectively assessed using an HPV DNA chip that can specify up to 32 HPV genotypes. We arbitrarily regarded genotypes accounting for less than 6% of the total as uncommon and rare genotypes.
A total of 3,164 HPV-positive cases were enrolled. In groups 2A, 2B, 3, and unclassified HPV genotypes, 2.4% of cases with uncommon HPV genotypes (68, 26, 34, 53, 66, 69, 70, 73, 40, 42, 43, 44, 54, 55, 61, 62, 6, and 11) showed high grade squamous intraepithelial lesions and ICs. There were no HPV32- and 57-infected cases.
We found that the uncommon and rare HPV genotypes may provide incremental etiologic contributions in cervical carcinogenesis, especially HPV68, 70, and 53. Further studies on these uncommon and rare HPV genotypes will be of importance in establishing the significance of genotypes in different regions, especially in planning a strategy for further vaccine development as well as follow-up on the effectiveness of the currently used vaccines.
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Few studies on how to diagnose pulmonary neuroendocrine tumors through morphometric analysis have been reported. In this study, we measured and analyzed the characteristic parameters of pulmonary neuroendocrine tumors using an image analyzer to aid in diagnosis.
Sixteen cases of typical carcinoid tumor, 5 cases of atypical carcinoid tumor, 15 cases of small cell carcinoma, and 51 cases of large cell neuroendocrine carcinoma were analyzed. Using an image analyzer, we measured the nuclear area, perimeter, and the major and minor axes.
The mean nuclear area was 0.318±0.101 µm2 in typical carcinoid tumors, 0.326±0.119 µm2 in atypical carcinoid tumors, 0.314±0.107 µm2 in small cell carcinomas, and 0.446±0.145 µm2 in large cell neuroendocrine carcinomas. The mean nuclear circumference was 2.268±0.600 µm in typical carcinoid tumors, 2.408±0.680 µm in atypical carcinoid tumors, 2.158±0.438 µm in small cell carcinomas, and 3.247±1.276 µm in large cell neuroendocrine carcinomas. All parameters were useful in distinguishing large cell neuroendocrine carcinoma from other tumors (p=0.001) and in particular, nuclear circumference was the most effective (p=0.001).
Pulmonary neuroendocrine tumors showed nuclear morphology differences by subtype. Therefore, evaluation of quantitative nuclear parameters improves the accuracy and reliability of diagnosis.
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