Objective:To explore the related factors of postoperative adjuvant therapy for cervical cancer stagedⅠB1-ⅡA2 [according to 2018 International Federation of Gynecology and Obstetrics (FIGO) staging standard], and to establish a nomogram model to predict the risk of postoperative adjuvant therapy for locally advanced cervical cancer.Methods:A total of 714 patients with cervical squamous cell cancer staged FIGO ⅠB1-ⅡA2 treated by surgery in Anhui Provincial Hospital were selected as the research objects from January 2009 to December 2019, and their clinicopathological data were analyzed. Multiple logistic regression analysis was used to determine the influencing factors, and a nomogram model was established to predict the risk of postoperative adjuvant treatment of cervical cancer. The predictive performance of the model was evaluated with the consistency index (C-index), and the compliance of the model was evaluated with the calibration curve.Results:Univariate analysis suggested that postoperative adjuvant therapy for cervical cancer was associated with gravidity ( χ2=11.506, P=0.001), underlying disease (hypertension or diabetes) ( χ2=7.668, P=0.006), squamous cell cancer antigen (SCC-AG) level ( χ2=19.392, P<0.001), imaging risk factors ( χ2=16.392, P<0.001), FIGO stage ( χ2=25.686, P<0.001), tumor size ( χ2=9.392, P=0.025) and surgical path ( χ2=16.590, P<0.001). Multivariate logistic regression analysis suggested that the number of pregnancy >2 times ( OR=1.951, 95% CI: 1.355-2.808, P<0.001), SCC-Ag ≥1.5 μg/L ( OR=2.021, 95% CI: 1.444-2.829, P<0.001), FIGO stage ⅠB3-ⅡA2 [ⅠB3 ( OR=1.933, 95% CI: 1.139-3.282, P=0.015); ⅡA1 ( OR=2.723, 95% CI: 1.556-4.765, P<0.001); ⅡA2 ( OR=3.159, 95% CI: 1.502-6.646, P=0.002)], with underlying disease (hypertension or diabetes) ( OR=1.867, 95% CI: 1.051-3.318, P=0.033), imaging risk factors ( OR=1.997, 95% CI: 1.127-3.537, P=0.018), without neoadjuvant therapy [preoperative neoadjuvant therapy for 1 cycle ( OR=0.402, 95% CI: 0.207-0.783, P=0.007)] and laparoscopic surgery ( OR=2.177, 95% CI: 1.524-3.112, P<0.001) were independent influencing factors for postoperative adjuvant treatment of cervical cancer. Based on the screened variables, the nomogram model to predict the risk of postoperative adjuvant treatment for cervical cancer has good predictive performance (C-index was 0.702) and compliance. Conclusion:The number of pregnancy >2 times, SCC-Ag ≥1.5 μg/L, FIGO stage ⅠB3-ⅡA2, with underlying disease (hypertension or diabetes), imaging risk factors, without neoadjuvant therapy, and laparoscopic surgery are independent influencing factors for postoperative adjuvant treatment of cervical cancer. A nomogram model has been constructed to predict the risk of postoperative adjuvant therapy for locally advanced cerrical cancer, and it can provide evidence for clinical treatment selection.

Objective To analyze the efficacy and safety of PD-1 inhibitor combined with anlotinib on advanced neuroendocrine carcinoma. Methods We collected the data of patients with advanced neuroendocrine carcinoma who had failed the first-line standard chemotherapy and treated with PD-1 inhibitor combined with anlotinib from the First Affiliated Hospital of Zhengzhou University. Results A total of 45 patients, including 24 males and 21 females, were included. The median age was 57 years old. The primary tumor sites were lung (23 cases, 51.1%), esophagus (8 cases, 17.8%), pancreas (7 cases, 15.6%) and rectum (7 cases, 15.6%). Eighteen cases (40%) had failed the first- and second-line treatments, and 27 cases (60%) had failed the third-line and above treatments. All patients received 2-15 cycles of treatment, 3 cases died due to disease progression, overall objective response rate was 11.1%, disease control rate was 53.5%, median progression-free survival was 5.8 months, and 10-month progression-free survival rate was 25.5%. Adverse events were mainly grade 1-2 myelosuppression and digestive tract reactions. Conclusion PD-1 combined with anlotinib show better efficacy and good tolerance on advanced neuroendocrine carcinoma. It can be used as a choice after the failure of standard first-line treatment of advanced neuroendocrine carcinoma.

Pre-testing preparation is the basis and starting point of genetic testing.The process includes collection of clinical information,formulation of testing scheme,genetic counseling before testing,and completion of informed consent and testing authorization.To effectively identify genetic diseases in clinics can greatly improve the diagnostic rate of next generation sequencing (NGS),thereby reducing medical cost and improving clinical efficacy.The analysis of NGS results relies,to a large extent,on the understanding of genotype-phenotype correlations,therefore it is particularly important to collect and evaluate clinical phenotypes and describe them in uniform standard terms.Different types of genetic diseases or mutations may require specific testing techniques,which can yield twice the result with half the effort.Pre-testing genetic counseling can help patients and their families to understand the significance of relevant genetic testing,formulate individualized testing strategies,and lay a foundation for follow-up.

With high accuracy and precision,next generation sequencing (NGS) has provided a powerful tool for clinical testing of genetic diseases.To follow a standardized experimental procedure is the prerequisite to obtain stable,reliable,and effective NGS data for the assistance of diagnosis and/or screening of genetic diseases.At a conference of genetic testing industry held in Shanghai,May 2019,physicians engaged in the diagnosis and treatment of genetic diseases,experts engaged in clinical laboratory testing of genetic diseases and experts from third-party genetic testing companies have fully discussed the standardization of NGS procedures for the testing of genetic diseases.Experts from different backgrounds have provided opinions for the operation and implementation of NGS testing procedures including sample collection,reception,preservation,library construction,sequencing and data quality control.Based on the discussion,a consensus on the standardization of the testing procedures in NGS laboratories is developed with the aim to standardize NGS testing and accelerate implementation of NGS in clinical settings across China.

Bioinformatic analysis and variant classification are the key components of high-throughput sequencing-based genetic diagnostic approach.This consensus is part of the effort to develop a standardized process for next generation sequencing (NGS)-based test for germline mutations underlying Mendelian disorders in China.The flow-chart,common software,key parameters of bioinformatics pipeline for data processing,annotation,storage and variant classification are reviewed,which is aimed to help improving and maintaining a high-quality process and obtaining consistent outcomes for NGS-based molecular diagnosis.