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Abstract：
BACKGROUND: Immunohistochemistry (IHC) is widely used in the management of patients with cervical intraepithelial neoplasia (CIN) but still has many limitations in clinical practice. We analyzed the correlation of new biomarkers with the severity of CIN and follow-up outcomes in patients after conization to improve the management of patients with CIN.
METHODS: IHC staining of Eag1 and p16/Ki-67 was performed on cervical tissue sections from 234 patients with suspected CIN2/3. After a series of follow-ups, including human papillomavirus (HPV) test and thinprep cytologic test (TCT) for 1-2 years, the outcomes were collected. IHC scores of biomarkers and follow-up results were used to analyze the correlation and assess the diagnostic efficiency of biomarkers.
RESULTS: The IHC staining intensity of Eag1 and p16/Ki-67 was significantly different from that of the CIN1-3 groups (p < 0.05). Eag1 expression scores were significantly different in the distribution between the two follow-up groups (p < 0.001). ROC curves based on the correlations between the follow-up outcomes and the Eag1 scores and IS of p16/ki-67 showed that Eag1 had a greater AUC (0.767 vs. 0.666). Logistic regression analysis of the combination of biomarkers revealed a greater AUC value than any single biomarker.
CONCLUSIONS: Eag1 expression was significantly correlated with CIN grade and follow-up outcomes after conization. IHC staining of combinations of biomarkers of Eag1, p16 and Ki-67 may help us to improve the ability to identify risk groups with abnormal follow-up outcomes after treatment for CIN.
METHODS: IHC staining of Eag1 and p16/Ki-67 was performed on cervical tissue sections from 234 patients with suspected CIN2/3. After a series of follow-ups, including human papillomavirus (HPV) test and thinprep cytologic test (TCT) for 1-2 years, the outcomes were collected. IHC scores of biomarkers and follow-up results were used to analyze the correlation and assess the diagnostic efficiency of biomarkers.
RESULTS: The IHC staining intensity of Eag1 and p16/Ki-67 was significantly different from that of the CIN1-3 groups (p < 0.05). Eag1 expression scores were significantly different in the distribution between the two follow-up groups (p < 0.001). ROC curves based on the correlations between the follow-up outcomes and the Eag1 scores and IS of p16/ki-67 showed that Eag1 had a greater AUC (0.767 vs. 0.666). Logistic regression analysis of the combination of biomarkers revealed a greater AUC value than any single biomarker.
CONCLUSIONS: Eag1 expression was significantly correlated with CIN grade and follow-up outcomes after conization. IHC staining of combinations of biomarkers of Eag1, p16 and Ki-67 may help us to improve the ability to identify risk groups with abnormal follow-up outcomes after treatment for CIN.
摘要：
背景：免疫组织化学（IHC）广泛用于宫颈上皮内瘤变（CIN）患者的治疗，但在临床实践中仍然存在许多局限性。我们分析了锥切术后患者新的生物标志物与CIN严重程度和随访结果的相关性，以改善CIN患者的管理。
方法：对234例诊断为N2/3的患者宫颈组织切片进行Eag1和p16/Ki-67的IHC染色。经过一系列的跟进,包括人乳头瘤病毒（HPV）检测和薄层细胞学检查（TCT）1-2年，收集结果。生物标志物的IHC评分和随访结果用于分析相关性并评估生物标志物的诊断效率。
结果：Eag1和p16/Ki-67的IHC染色强度与CIN1-3组差异有统计学意义（p<0.05）。Eag1表达评分在两个随访组之间的分布有显著差异(p<0.001)。基于随访结果与P16/ki-67的Eag1评分和IS之间相关性的ROC曲线显示Eag1具有更大的AUC（0.767vs.0.666)。生物标志物组合的逻辑回归分析揭示了比任何单个生物标志物更大的AUC值。
结论：Eag1的表达与CIN分级和锥化后的随访结果显著相关。Eag1，p16和Ki-67生物标志物组合的IHC染色可能有助于我们提高识别CIN治疗后随访结果异常的风险组的能力。
方法：对234例诊断为N2/3的患者宫颈组织切片进行Eag1和p16/Ki-67的IHC染色。经过一系列的跟进,包括人乳头瘤病毒（HPV）检测和薄层细胞学检查（TCT）1-2年，收集结果。生物标志物的IHC评分和随访结果用于分析相关性并评估生物标志物的诊断效率。
结果：Eag1和p16/Ki-67的IHC染色强度与CIN1-3组差异有统计学意义（p<0.05）。Eag1表达评分在两个随访组之间的分布有显著差异(p<0.001)。基于随访结果与P16/ki-67的Eag1评分和IS之间相关性的ROC曲线显示Eag1具有更大的AUC（0.767vs.0.666)。生物标志物组合的逻辑回归分析揭示了比任何单个生物标志物更大的AUC值。
结论：Eag1的表达与CIN分级和锥化后的随访结果显著相关。Eag1，p16和Ki-67生物标志物组合的IHC染色可能有助于我们提高识别CIN治疗后随访结果异常的风险组的能力。
