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Detection of high-risk human papillomavirus subtypes in cervical glandular neoplasia by in situ hybridization

机译:原位杂交技术检测宫颈腺瘤高危型人乳头瘤病毒亚型

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摘要

In situ hybridization (ISH) was performed on paraffin-embedded tissues to detect multiple high-risk human papillomavirus (HPV) subtypes in 27 cases of cervical adenocarcinoma in situ (AIS) and adenocarcinoma (CA) specimens. These results were compared with those of HPV detection by HPV-PCR genotyping and p16 immunohistochemistry in the same specimens. Of the 27 cases, 17 (63%) showed HPV-DNA by HPV-ISH, including 3 metastatic lesions. HPV-DNA was detected in 18 cases (67%) by PCR. The concordance rate between HPV-ISH and HPV-PCR genotyping was 74% with moderate agreement (Kappa value, 0.41). HPV-16 was identified in 5 cases, HPV-18 in 2 cases, and HPV-45 in 1 case. Combining the results of HPV-ISH and HPV-PCR/genotyping, 22 cases (81.5%) were considered HPV positive. Immunohistochemical staining of p16 indicated that 25 (93%) cases were positive; however, 4 of these cases were HPV-negative by both PCR and ISH. Combining HPV-ISH and HPV-PCR/genotyping techniques demonstrated a high sensitivity of HPV detection in FFPE tissues from cervical glandular neoplasias. In contrast, p16 immunohistochemistry seemed to have a low specificity for determining HPV status in cervical glandular neoplasia. HPV-ISH is useful for recognizing the distribution of HPV in AIS and CA tissues and visualizing signal patterns, and may be a useful tool to confirm the cervical origin of neoplasias and metastatic lesions.
机译:对石蜡包埋的组织进行原位杂交(ISH),以检测27例子宫颈腺癌(AIS)和腺癌(CA)标本中的多种高危人类乳头瘤病毒(HPV)亚型。将这些结果与同一样本中通过HPV-PCR基因分型和p16免疫组织化学检测HPV的结果进行了比较。在27例病例中,有17例(63%)通过HPV-ISH显示HPV-DNA,包括3处转移性病变。 PCR检测到18例(67%)HPV-DNA。 HPV-ISH与HPV-PCR基因分型的一致性率为74%,一致性中等(Kappa值为0.41)。鉴定出HPV-16 5例,HPV-18 2例,HPV-45 1例。结合HPV-ISH和HPV-PCR /基因分型的结果,22例(81.5%)被认为是HPV阳性。 p16的免疫组织化学染色显示25例(93%)阳性。然而,通过PCR和ISH检测,其中4例HPV阴性。结合HPV-ISH和HPV-PCR /基因分型技术证明,宫颈腺瘤样变的FFPE组织中HPV检测具有很高的敏感性。相比之下,p16免疫组织化学似乎在确定宫颈腺瘤样增生中的HPV状态时具有较低的特异性。 HPV-ISH可用于识别AIS和CA组织中HPV的分布并可视化信号模式,并且可能是确认宫颈癌和转移性病变起源的有用工具。

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