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Distribution of SARS-CoV-2 virus and pathological features of multiple organs in COVID-19 patients remains unclear, which interferes with the improvement of COVID-19 diagnosis and treatment. In this article, we summarize the pathological findings obtained from systematic autopsy (37 cases) and percutaneous multiple organ biopsy (“minimally invasive autopsy”, 54 cases). These findings should shed light on better understanding of the progression of COVID-19 infection and the means of more effective intervention.

There are no large samples or exact prediction models for assessing the cancer risk factors of solitary pulmonary nodules (SPNs) in the Chinese population. We retrospectively analyzed the clinical and imaging data of patients with SPNs who underwent computer tomography guided needle biopsy in our hospital from Jan 1st of 2011 to March 30th of 2016. These patients were divided into a development data set and a validation data set. These groups included 1078 and 344 patients, respectively. A prediction model was developed from the development data set and was validated with the validation data set using logistic regression. The predictors of cancer in our model included female gender, age, pack-years of smoking, a previous history of malignancy, nodule size, lobulated and spiculated edges, lobulation alone and spiculation alone. The Area Under the Curves, sensitivity and specificity of our model in the development and validation data sets were significantly higher than those of the Mayo model and VA model (p < 0.001). We established the largest sampling risk prediction model of SPNs in a Chinese cohort. This model is particularly applicable to SPNs > 8 mm in size. SPNs in female patients, as well as SPNs featuring a combination of lobulated and spiculated edges or lobulated edges alone, should be evaluated carefully due to the probability that they are malignant.

Women with positive high-risk human papillomavirus (hrHPV) need efficient triage testing to determine colposcopy referrals. Triage strategies of combining p16/Ki-67 with extended HPV genotyping were evaluated in this study. In total, 899 women attending cervical cancer screening program and 858 women referred to colposcopy from five hospitals were recruited. All the participants were tested by HPV assays and p16/Ki-67 dual staining. Colposcopy and biopsy were performed on women with any abnormal results. HPV genotypes were divided into four strata (HPV16/18, HPV31/33/58/52, HPV45/59/56/66, and HPV51/39/68/35) according to their risks for cervical intraepithelial neoplasia grade 3 or worse (CIN3þ). The positive rates of four genotype strata among CIN3þ women were 3.47% (HPV51/39/68/35), 7.73% (HPV45/59/56/66), 14.7% (HPV31/33/58/52), and 78.1% (HPV16/18), respectively (P trend < 0.001). The positive rates of p16/Ki-67 increased with the elevation of HPV risk hierarchical from 65.0% in HPV51/39/68/35-positive women to 88.0% in HPV16/18positive women (P trend < 0.001). p16/Ki-67 was an effective method for risk stratification of CIN2þ among HPV31/33/ 58/52-and HPV45/59/56/66-positive women [HPV31/33/ 58/52: OR for dual stainþ (OR DSþ ) of 26.7 (16.8-42.4) and OR for dual stainÀ (OR DSÀ ) of 3.87(1.89-7.91); HPV45/59/ 56/66: OR DSþ of 10.3(5.05-21.0) and OR DSÀ of 1.27(0.38-4.26)]. The combination of HPV16/18 genotyping and p16/ Ki-67 triage of HPV31/33/58/52/45/59/56/66-positive women resulted in a lower referral rate (40.1% vs. 41.3%; P < 0.001) as compared with triage of 12 other HPV-positive women with p16/Ki-67, although sensitivity and specificity levels for these two strategies were identical. Combining HPV extended genotyping and p16/Ki-67 can be considered as a promising strategy for cervical cancer screening and triage.

Low-cost, accurate high-risk human papillomavirus (HR-HPV) tests are needed for cervical cancer screening in limited-resource settings. More than 200 cervical cytological specimens from hospital patients were collected and analyzed for a realworld study. We evaluated the analytical and clinical performance of four widely used HR-HPV test (Tellgen, Hybribio, Liferiver, and Sansure) based on real-time polymerase chain reaction technology platforms, compared with the cobas test. Cervical intraepithelial neoplasia grade 2 or worse lesions (CIN2+) were set as the disease endpoint, and all the five HPV tests were performed with equal sensitivity (McNemar's test; P = 0.971) and specificity (McNemar's test; P = 0.953). All genotyping using the INNO-LiPA HPV test showed that HPV-16, -52, and -54 were the most common types among CIN2+ cases. Overall, the four HR-HPV tests analyzed appear to be as effective as the cobas HPV test in both agreement and clinical performance.Therefore, each of these low-cost HPV test kits could be implemented in limitedresource settings to accelerate the control of cervical cancer. However, we suggest that there is a need to further standardize and optimize testing around clinical sensitivity and specificity. K E Y W O R D S cervical screening, cobas HPV test (cobas) , human papillomavirus (HPV), INNO-LiPA, real-time polymerase chain reaction (PCR)

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Coinfections with multiple types of human papillomavirus (HPV) occur in cervical adenocarcinoma (ADC). However, it remains unclear the clustering patterns of multiple types in HPV coinfections and relevant factors in ADC. A total of 718 paraffin-embedded ADC specimens were collected in China and tested for HPV genotypes using SPF10-INNO-LIPA. The prevalence of HPV coinfections and clustering patterns by geographical regions, histological subtypes and ages were assessed. Type-specific attribution of HPV to ADC adjusted by HPV coinfections were calculated. The prevalence of HPV coinfections was found to be 8.4% in ADC cases with slight variation by geographic regions between 2.2% and 12.5%. The 88.3% of all HPV multiple infections in ADC were two types of HPV coinfections with predominant combination of HPV 16 and HPV 18. The attribution to ADC was 88.0% for HPV 16/18 targeted by bivalent and quadrivalent vaccine and 96.8% for HPV 16/ 18/31/33/45/52/58 targeted by nonavalent vaccine. Clustering patterns of multiple types were related with histological categories and age at diagnosis. In conclusion, HPV coinfections are uncommonly prevalent in ADC cases with slight variation by geographic regions and distinct clustering patterns of multiple types by histological subtypes and ages at diagnosis. The high attribution of carcinogenic HPV types to ADC predicts potential protection of HPV vaccine against ADC. K E Y W O R D S cervical adenocarcinoma, clustering patterns, human papillomavirus, multiple genotypes 1 | INTRODUCTION Cervical adenocarcinoma (ADC), a histological subtype of cervical cancer, composes approximately 10% to 20% of all cervical cancer cases. 1,2 In contrast with the declined incidence of squamous cell cancer in an era of ever-increasing coverage of cervical cancer screening and human papillomavirus (HPV) vaccine, ADC has become more common in the past decades, even in countries with organized screening. 3-6 The estimated global incidence of ADC was 1.6 cases per 100 000 women, and approximately 56 805 new cases developed worldwide in 2015. 2 Persistent infection with high-risk types of HPV has been established as an essential cause of cervical cancer. 7,8 Over 200 types of HPV out of more than 350 different papillomaviruses Li Dong and Tingyuan Li contributed equally to this work.