1.Clinical validation of the PCR-reverse dot blot human papillomavirus genotyping test in cervical lesions from Chinese women in the Fujian province: a hospital-based population study.
Pengming SUN ; Yiyi SONG ; Guanyu RUAN ; Xiaodan MAO ; Yafang KANG ; Binhua DONG ; Fen LIN
Journal of Gynecologic Oncology 2017;28(5):e50-
OBJECTIVE: To determine the clinical significance of the polymerase chain reaction (PCR)-reverse dot blot (RDB) human papillomavirus (HPV) genotyping assay in cervical cancer screening. METHODS: A total of 10,442 women attending the Fujian Provincial Maternity and Children's Health Hospital were evaluated using the liquid-based cytology (thinprep cytologic test [TCT]) and the PCR-RDB HPV test. Women with HPV infection and/or abnormal cytology were referred for colposcopy and biopsy. For HPV DNA sequencing, 120 specimens were randomly selected. Pathological diagnosis was used as the gold standard. RESULTS: Using the PCR-RDB HPV test, overall HPV prevalence was 20.57% (2,148/10,442) and that of high-risk (HR)-HPV infection was 18.68% (1,951/10,442). There was 99.2% concordance between HPV PCR-RDB testing and sequencing. In this studied population, the most common HR-HPV types were HPV-16, -52, -58, -18, -53, -33, and -51, rank from high to low. HPV-16, -18, -58, -59, and -33 were the top 5 prevalent genotypes in cervical cancer but HPV-16, -18, -59, -45, and -33 were the top 5 highest risk factors for cancer (odds ratio [OR]=34.964, 7.278, 6.728, 6.101, and 3.658; all p<0.05, respectively). Among 10,442 cases, 1,278 had abnormal cytology results, of which, the HR-HPV positivity rate was 83.02% (1,061/1,278). To screen for cervical cancer by PCR-RDB HPV testing, when using CIN2+, CIN3+, and cancer as observed endpoints, the sensitivity was 90.43%, 92.61%, and 94.78% and the negative predictive value (NPV) was 99.06%, 99.42%, and 99.78%, respectively. PCR-RDB HPV and TCT co-testing achieved the highest sensitivity and NPV. CONCLUSION: For cervical cancer screening, the PCR-RDB HPV test can provide a reliable and sensitive clinical reference.
Asian Continental Ancestry Group*
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Biopsy
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Child Health
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Colposcopy
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Diagnosis
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Early Detection of Cancer
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Female
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Genotype
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Human papillomavirus 16
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Humans*
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Mass Screening
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Papillomaviridae
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Polymerase Chain Reaction
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Prevalence
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Risk Factors
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Sequence Analysis, DNA
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Uterine Cervical Neoplasms
2.Prognosis and influencing factors of liver transplantation for hepatocellular carcinoma using steatotic donor liver: a multicenter study
Mengfan YANG ; Rui WANG ; Binhua PAN ; Renyi SU ; Siyi DONG ; Xiao XU ; Shusen ZHENG ; Xuyong WEI
Chinese Journal of Digestive Surgery 2022;21(2):237-248
Objective:To investigate the prognosis and influencing factors of liver transplantation (LT) for hepatocellular carcinoma (HCC) using steatotic donor liver.Methods:The retrospective cohort study was conducted. The clinicopathological data of 152 pairs of donors and the corresponding recipients undergoing LT for HCC in the two medical centers [89 pairs in Shulan (Hangzhou) Hospital and 63 pairs in the First Affiliated Hospital of Zhejiang University School of Medicine] from January 2015 to December 2019 were collected. Of 152 donors, there were 131 males and 21 females, aged (48±12)years, and there were 130 cases with liver mild steatosis and 22 cases with liver moderate steatosis. Of 152 recipients, there were 138 males and 14 females, aged (52±9)years. Observation indicators: (1) follow-up, overall survival and tumor recurrence free survival of recipients; (2) influencing factors for overall survival and tumor recurrence free survival of recipients; (3) construction and validation of nomogram prediction model for overall survival and tumor recurrence free survival of recipients. Follow-up was conducted using outpatient examination and telephone interview to detect survival and tumor recurrence of recipients up to December 2020. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M( IQR). Count data were described as absolute numbers. The Kaplan-Meier method was used to calculate the survival time and draw survival curve, and the Log-Rank test was used for survival analysis. The COX regression model was used for univariate and multivariate analysis. The independent risk factors were brought into the R 3.6.2 software to construct nomogram prediction model and draw the receiver operating characteristic (ROC) curve. The accuracy and discrimination of the nomogram prediction model were evaluated using the area under curve (AUC) and the calibration curve. Results:(1) Follow-up, overall survival and tumor recurrence free survival of recipients. All the 152 recipients undergoing LT for HCC using steatotic donor liver were followed up for 45.8(27.6)months, with the overall survival time and tumor recurrence free survival time of 36.5(32.3)months and 30.4(34.6)months. The 1-year, 3-year overall survival rates and tumor recurrence free rates of the 152 recipients were 73.4%, 55.8% and 62.2%, 43.4%, respectively. (2) Influencing factors for overall survival and tumor recurrence free survival of recipients. Results of univariate analysis showed that the donor liver cold ischemia time (CIT), the donor liver warm ischemia time (WIT), graft-to-recipient weight ratio (GRWR), ABO compatibility, recipient body mass index (BMI), recipient tumor diameter, recipient tumor number, recipient tumor differentiation degree, recipient preoperative alpha fetoprotein (AFP) were related factors influencing the overall survival of recipients ( hazard ratio=6.26, 1.90, 2.47, 4.08, 0.55, 5.16, 3.62, 5.28, 2.65, 95% confidence interval as 3.01?13.03, 1.07?3.38, 1.36?4.49, 2.07?8.03, 0.31?0.98, 2.56?10.42, 1.95?6.72, 1.60?17.42, 1.48?5.01, P<0.05) and the donor liver CIT, GRWR, ABO compatibility, recipient tumor diameter, recipient tumor number, recipient tumor differentiation degree, recipient preoperative AFP were related factors influencing the tumor recurrence free survival of recipients ( hazard ratio=4.24, 2.53, 4.05, 3.39, 3.10, 5.19, 2.63, 95% confidence interval as 2.50?7.21, 1.54?4.17, 2.12?7.72, 2.04?5.62, 1.91?5.03, 2.04?13.18, 1.61?4.30, P<0.05). Results of multivariate analysis showed that donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm and recipient preoperative AFP ≥400 μg/L were independent risk factors influencing the overall survival of recipients ( hazard ratio=4.21, 2.58, 4.10, 2.27, 95% confidence interval as 1.98?8.96, 1.24?5.35, 1.35?12.43, 1.13?4.56, P<0.05) and donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm, recipient tumor number ≥3 and recipient preoperative AFP ≥400 μg/L were independent risk factors influencing the tumor recurrence free survival of recipients ( hazard ratio=3.37, 2.63, 2.42, 2.12, 2.22, 95% confidence interval as 1.70?6.67, 1.40?4.96, 1.04?5.66, 1.08?4.18, 1.26?3.90, P<0.05). (3) Construction and validation of nomogram prediction model for overall survival and tumor recurrence free survival of recipients. The donor live CIT, GRWR, recipient tumor diameter, recipient preoperative AFP were used to construct nomogram prediction model for overall survival of recipients and the donor liver CIT, GRWR, recipient tumor diameter, recipient tumor number, recipient preoperative AFP were used to construct nomogram prediction model for tumor recurrence free survival of recipients. The ROC curve showed that the AUC of the nomogram prediction model for overall survival of recipients was 0.84 (95% confidence interval as 0.76?0.92, P<0.05), with the optimal diagnostic value as 7.3 and the specificity and sensitivity as 87.6% and 70.0%. The AUC of the nomogram prediction model for tumor recurrence free survival of recipients was 0.79 (95% confidence interval as 0.71?0.87, P<0.05), with the optimal diagnostic value as 5.8 and the specificity and sensitivity as 97.4% and 52.5%. The calibration curve showed that the nomogram prediction model had good distinction for high risk recipients in overall survival and tumor recurrence free survival. Conclusion:Donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm and recipient preoperative AFP ≥400 μg/L are independent risk factors influencing the overall survival of recipients who underwent LT for HCC using steatotic donor liver and donor liver CIT ≥8 hours, GRWR ≥2.5%, recipient tumor diameter ≥8 cm, recipient tumor number ≥ 3 and recipient preoperative AFP ≥400 μg/L are independent risk factors influencing the tumor recurrence free survival of recipients.