BackgroundData regarding human papillomavirus (HPV) prevalence and genotype distribution are limited in Shandong Province, China. Therefore, we investigated the recent HPV prevalence and genotype distribution among females in Shandong and aimed to provide comprehensive data to guide HPV-based cervical cancer screening and HPV vaccination for this population of Chinese women.MethodsHPV testing results of 94,489 females were retrospectively reviewed and extracted from the database of Jinan KingMed Diagnostics, the largest independent pathology laboratory in Shandong Province, China. HPV was detected by a HPV genotyping panel from January 2011 to June 2017. The overall prevalence, age-specific prevalence, and genotype distribution were analyzed.ResultsA total of 26,839 cases (28.4%) were HPV-positive, with 4.3% positive for low- or undetermined-risk HPV (lr-/urHPV)-only, 18.1% positive for high-risk HPV (hrHPV)-only, and 6.1% positive for mixed lr-/urHPV and hrHPV infections. Single HPV infections accounted for 62.8%, while the rest were multiple HPV infections of two or more genotypes. HPV16 (5.8%), HPV52 (5.1%), HPV58 (3.5%), HPV51 (2.6%), and HPV56 (2.3%) were the five most common hrHPV genotypes; while HPV81 (2.8%), HPV53 (2.8%), and HPV6 (2.3%) were the three most common lr-/urHPV genotypes. HPV18 (1.7%) was only the ninth most common hrHPV genotype. HPV16 but not HPV52 was more common in single infections than in multiple infections. The distribution of both mixed lr-/urHPV and hrHPV as well as overall HPV infections demonstrated a bimodal pattern across age groups, of which the first peak appeared in the younger group and the second peak was found in older women. A similar age-specific distribution was observed in multiple infections of three or more subtypes as well. Moreover, the proportion of mixed lr-/urHPV and hrHPV infection significantly increased, while those of lr-/urHPV-only and hrHPV-only infections declined as the number of co-infections increased during the study period.ConclusionThis large daily clinical practice report shows that HPV prevalence and genotype distribution are different in this population, who had limited cervical cancer screening service, compared to those in developed countries. Therefore, different strategies should be developed for HPV-based cervical cancer screening and vaccine-based HPV prevention in Shandong Province.

Context.— Reports for atypical squamous cells of undetermined significance (ASC-US) and histologic findings are rare in China. Objective.— To analyze the correlation findings of ASC-US cytology with high-risk human papillomavirus (hrHPV) test and histopathologic follow-ups. Design.— ASC-US cases with hrHPV test and histologic follow-ups between 2011 and 2015 were analyzed at a College of American Pathologists–certified laboratory. Results.— A total of 2 206 588 Papanicolaou (Pap) tests were performed, including 1 513 265 liquid-based cytology preparations (68.58%), and 693 323 conventional Pap tests (31.42%). The overall ASC-US reporting rate was 3.77% (83 199 of 2 206 588), with the highest in women aged 40 to 49 years. Of 18 574 women with ASC-US Pap and HPV testing, the hrHPV positivity rate was 34.98% (6498 of 18 574) with the highest in women younger than 30 years. A total of 6012 women with ASC-US Pap test findings had histologic follow-ups within 6 months; the overall cervical intraepithelial neoplasia 2 and above (CIN2+) detection rate was 7.87% (473 of 6012). One thousand nine hundred nine women with ASC-US Pap and HPV testing had histologic results. CIN2+ lesion was found in 13.98% (124 of 887) of women with ASC-US Pap/HPV-positive test results, significantly higher than 2.84% (29 of 1022) for women with ASC-US Pap/HPV-negative test results. Cervical squamous cell carcinoma was found in 3.95% (35 of 887) of women with ASC-US/HPV-positive test results. Conclusions.— This is one of the largest studies to investigate HPV and histologic follow-up findings in women with ASC-US in China. The ASC-US reporting rate, HPV positivity rate, and CIN2+ detection rate were all within the currently recognized benchmark ranges. These findings may contribute to establishing a baseline for better understanding of the status of cervical screening in China.

BackgroundCurrently, available data regarding previous cervical cytology and high-risk human papillomavirus (hrHPV) test results to detect invasive cervical cancer are limited and controversial in China. Therefore, this retrospective study in a population of Chinese women with invasive cervical carcinoma aimed to gain further insight into the roles of cytology and hrHPV testing in cervical cancer screening.MethodsA total of 1214 cases with a histological diagnosis of invasive cervical cancer were retrieved from the Pathology Database of Jinan KingMed Diagnostics (JKD) over a 5-year period. Previous cytology and hrHPV test results of 469 patients carried out within the year before cancer diagnosis were documented.ResultsA higher percentage of patients who had undergone prior screening had micro-invasive cervical carcinoma than patients who had no prior screening (25.4% vs. 12.1%, P < 0.001). Of the 469 patients with available prior screening results, 170 had cytology alone, 161 had hrHPV testing alone, and 138 had both cytology and hrHPV testing. There was a significantly lower percentage of hrHPV-positive cases with adenocarcinoma than with squamous cell carcinoma (77.8% vs. 96.4%, P = 0.001). The hrHPV test showed a significantly higher sensitivity than cytology alone (94.4% vs. 85.3%, P = 0.006). The overall sensitivity of the combination of cytology and hrHPV testing (98.6%) was much higher than that of cytology alone (P < 0.001) but only marginally higher than that of hrHPV testing alone (P = 0.058).ConclusionsThe results revealed that prior cervical screening can detect a significantly larger number of micro-invasive cervical cancers. The hrHPV test can provide a more sensitive and efficient strategy than cytology alone. As the addition of cytology to hrHPV testing can only marginally increase the efficiency of the hrHPV test, hrHPV testing should be used as the primary screening approach, especially in the low-resource settings of China.

BackgroundHigh-risk human papillomavirus (HR-HPV) testing is more sensitive than cytology for the detection of cervical cancer and its precursors. However, limited and inconsistent data are available about the efficacy of the combination of these two methods for screening cervical adenocarcinoma. This multicenter retrospective study investigated the screening results of a cohort of Chinese patients who were subsequently diagnosed with invasive cervical adenocarcinoma, with the goal of identifying the optimal cervical adenocarcinoma screening method.MethodsWe retrospectively retrieved and analyzed the data from patients with histologically confirmed primary invasive cervical adenocarcinoma from eight local pathology laboratories operated by KingMed Diagnostics, the largest independent operator of pathology laboratories in China, over a 2-year period. Only patients who underwent cytology and/or HR-HPV testing within 6 months before the adenocarcinoma diagnosis were included. HR-HPV DNA was detected using one of two HPV test kits: the Hybrid Capture 2 (HC2) assay (Qiagen, Hilden, Germany) and an HPV genotyping panel (Yaneng Bio, Shenzhen, China).ResultsOf the 311 patients, 136 underwent cytology alone, 106 underwent HR-HPV testing alone, and 69 underwent cytology and HR-HPV co-testing. The sensitivities of cytology alone (64.0, 95% confidence interval [CI]: 55.9–72.0) and HR-HPV testing alone (66.0, 95% CI: 57.0–75.1) were similar (P = 0.738). The sensitivity of cytology and HR-HPV co-testing (87.0, 95% CI: 79.0–94.9) was significantly higher than that of either cytology (P = 0.001) or HR-HPV testing alone (P = 0.002).ConclusionsBoth cytology alone and HR-HPV testing alone showed poor screening efficiency, whereas the combination of the two clearly increased the efficiency of primary cervical adenocarcinoma screening. Thus, cytology and HR-HPV co-testing might be the most efficient cervical adenocarcinoma screening method.

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Background: In 2013, Jinan KingMed Diagnostics (JKD) first established a systematic cervical cytology training and quality control (QC) program in Shandong Province, China. We compared the efficacy of high-risk human papillomavirus (HR-HPV) detection, cytology, and their combination in routine clinical practice after the implementation of the training and QC program to identify the optimal first-line screening method in this region. Methods: The data of patients histologically diagnosed with cervical intraepithelial neoplasia (CIN) 1, CIN2/3, and invasive cervical cancer (ICC) between January 2014 and December 2017 were retrieved from the JKD database. Cytology and/or HR-HPV testing results within 3 months preceding the CIN1 diagnoses and 6 months preceding the CIN2/3 and ICC diagnoses were analyzed. Results: Prior screening data were available for 1829 CIN1 patients, 2309 CIN2/3 patients, and 680 ICC patients. Cytology alone and HR-HPV testing alone had similar rates of positive results for CIN2/3 (97.2% [854/879] vs. 95.4% [864/906], P = 0.105) and ICC detection (89.1% [205/230] vs. 92.7% [204/220], P = 0.185). Compared with either method alone, co-testing slightly increased the screening sensitivity for CIN2/3 (99.8% [523/524], all P < 0.001) and ICC (99.6% [229/230], all P < 0.001) detection. In the CIN1 group, cervical cytology alone (92.9% [520/560]) was more sensitive than HR-HPV testing alone (79.9% [570/713], P < 0.001), and co-testing (95.3% [530/556]) did not significantly improve the screening sensitivity (P = 0.105).

BackgroundLymph node metastasis (LNM) significantly impacts the prognosis of individuals diagnosed with cervical cancer, as it is closely linked to disease recurrence and mortality, thereby impacting therapeutic schedule choices for patients. However, accurately predicting LNM prior to treatment remains challenging. Consequently, this study seeks to utilize digital pathological features extracted from histopathological slides of primary cervical cancer patients to preoperatively predict the presence of LNM.MethodsA deep learning (DL) model was trained using the Vision transformer (ViT) and recurrent neural network (RNN) frameworks to predict LNM. This prediction was based on the analysis of 554 histopathological whole‐slide images (WSIs) obtained from Qilu Hospital of Shandong University. To validate the model's performance, an external test was conducted using 336 WSIs from four other hospitals. Additionally, the efficiency of the DL model was evaluated using 190 cervical biopsies WSIs in a prospective set.ResultsIn the internal test set, our DL model achieved an area under the curve (AUC) of 0.919, with sensitivity and specificity values of 0.923 and 0.905, respectively, and an accuracy (ACC) of 0.909. The performance of the DL model remained strong in the external test set. In the prospective cohort, the AUC was 0.91, and the ACC was 0.895. Additionally, the DL model exhibited higher accuracy compared to imaging examination in the evaluation of LNM. By utilizing the transformer visualization method, we generated a heatmap that illustrates the local pathological features in primary lesions relevant to LNM.ConclusionDL‐based image analysis has demonstrated efficiency in predicting LNM in early operable cervical cancer through the utilization of biopsies WSI. This approach has the potential to enhance therapeutic decision‐making for patients diagnosed with cervical cancer.