Objective:To analyze the epidemiological characteristics and survival rate of nasopharynx cancer (NPC) in Guangdong Province from 2011 to 2019.Methods:Based on the cancer registry data of Guangdong Province from 2011 to 2019, the crude rate, age-standardized rate (the standard population was the fifth Chinese national census of 2000) and age-specific rate of incidence and mortality of NPC were calculated, and the regional distribution characteristics were also explored. The average annual percentage change (AAPC) of the incidence and mortality rates were analyzed by using Joinpoint regression model. The observed survival rate was estimated by period survival method, and the expected survival rate was calculated by Ederer Ⅱ method.Results:The crude incidence rate and age standardized incidence rate of NPC showed a decreasing trend, and the AAPC was -1.9% and -2.1%, respectively ( P＜0.05). The crude mortality rate and age standardized mortality rate of NPC also showed a decreasing trend, and the AAPC was -4.8% and -4.6%, respectively ( P＜0.05). The incidence and mortality rates are both higher in men than those in women during the nine years. The age-specific incidence rate of NPC reached its peak in the 50-64 years old age group, and the mortality rate reached its peak in the 65-74 years old age group in Guangdong province. In 2019, the age-standardized incidence rate of NPC was 9.49/100 000 (13.89/100 000 in men and 5.19/100 000 in women). The incidence and mortality of NPC varied greatly among different areas, and the areas with highest incidence and mortality rate were both in Zhaoqing. In 2020, the five-year observed survival rate of NPC in Guangdong Province was 67.2%, the 5-year relative survival rate was 75.3% and the 5-year standardized relative survival rate was 68.9%. Conclusions:Both the incidence and mortality rates of NPC in Guangdong province show decreasing trend, and the decreasing level of the mortality rate is higher than that of the incidence rate, but the two rates are still at high levels. The prevention and control work should focus on male, middle-aged and elderly population and Zhaoqing, Zhongshan, Foshan areas.

Objective:To analyze the epidemiological characteristics and survival rate of nasopharynx cancer (NPC) in Guangdong Province from 2011 to 2019.Methods:Based on the cancer registry data of Guangdong Province from 2011 to 2019, the crude rate, age-standardized rate (the standard population was the fifth Chinese national census of 2000) and age-specific rate of incidence and mortality of NPC were calculated, and the regional distribution characteristics were also explored. The average annual percentage change (AAPC) of the incidence and mortality rates were analyzed by using Joinpoint regression model. The observed survival rate was estimated by period survival method, and the expected survival rate was calculated by Ederer Ⅱ method.Results:The crude incidence rate and age standardized incidence rate of NPC showed a decreasing trend, and the AAPC was -1.9% and -2.1%, respectively ( P＜0.05). The crude mortality rate and age standardized mortality rate of NPC also showed a decreasing trend, and the AAPC was -4.8% and -4.6%, respectively ( P＜0.05). The incidence and mortality rates are both higher in men than those in women during the nine years. The age-specific incidence rate of NPC reached its peak in the 50-64 years old age group, and the mortality rate reached its peak in the 65-74 years old age group in Guangdong province. In 2019, the age-standardized incidence rate of NPC was 9.49/100 000 (13.89/100 000 in men and 5.19/100 000 in women). The incidence and mortality of NPC varied greatly among different areas, and the areas with highest incidence and mortality rate were both in Zhaoqing. In 2020, the five-year observed survival rate of NPC in Guangdong Province was 67.2%, the 5-year relative survival rate was 75.3% and the 5-year standardized relative survival rate was 68.9%. Conclusions:Both the incidence and mortality rates of NPC in Guangdong province show decreasing trend, and the decreasing level of the mortality rate is higher than that of the incidence rate, but the two rates are still at high levels. The prevention and control work should focus on male, middle-aged and elderly population and Zhaoqing, Zhongshan, Foshan areas.

Kirsten rat sarcoma viral oncogene homolog(KRAS)gene is one of the most commonly mutated oncogenes.It has been found that KRAS inhibitors have the potential therapeutic effect on cancer patients with this gene mutation.In this study,machine learning was applied to develop a QSAR(quantitative structure-activity relationship)model for KRAS small molecule inhibitors.A total of 1857data points of IC50 and SMILES(simplified molecular input line entry system)for KRAS inhibitors were collected from three databases:ChEMBL,BindingDB,and PubChem.And nine different classifiers were constructed using three different feature screening methods combined with three machine learning models,namely,random forest,support vector machine,and extreme gradient boosting machine.The results showed that the SVM model combined with mutual information feature selection exhibited the best performance:AUCtest=0.912,ACCtest=0.859,F1test=0.890.Moreover,it also demonstrated good predictive performance on the external validation set(AUCExt=0.944,RecallExt=0.856,FPRExt=0.111).This study provides a new technical route for KRAS inhibitor screening in natural product databases using artificial intelligence methods.

OBJECTIVE To investigate the impact of the methionine synthase reductase （MTRR） rs10380 C＞T gene polymorphism on methotrexate （MTX） plasma concentration， adverse drug reaction， and prognosis in children with intracranial tumors. METHODS Peripheral blood was collected from children with intracranial tumors， and genomic DNA was extracted. The MTRR rs10380 C＞T genotype was analyzed using matrix-assisted laser desorption/ionization-time of flight-mass spectrometry. The association of the MTRR rs10380 C＞T gene polymorphism with the ratio of MTX plasma concentration to dose （C/D ratio）， adverse drug reaction， tumor recurrence， and metastasis was analyzed. Bioinformatics analysis was used to explore the association of the rs10380 genotype and MTRR gene expression and its possible mechanisms. RESULTS A total of 75 children were included in the study. The distribution frequencies of the wild-type CC genotype and C allele of rs10380 were 62.67% and 81.33%， respectively， while the distribution frequencies of the variant CT genotype and T allele were 37.33% and 18.67%， respectively， which were in accordance with Hardy-Weinberg equilibrium（P＞0.05）. The incidence of electrolyte disorders （51.06%） and tumor metastasis rate （57.45%） in children with the CC genotype were significantly higher than those with the CT genotype （P＜0.05）. No significant differences were observed in the 24-hour and 42-hour C/D ratios and recurrence rates between the two genotypes of children （P＞0.05）. Bioinformatics analysis showed that MTRR protein mainly works in conjunction with 10 proteins， including MMAA， and was involved in various biological processes such as sulfur amino acid biosynthesis. CONCLUSIONS The MTRR rs10380 CC genotype may be a risk factor for electrolyte disorders and tumor metastasis in children with intracranial tumors after MTX chemotherapy.

The prediction of compound-protein interaction (CPI) is a critical technological tool for discovering lead compounds and drug repurposing during the process of drug development.In recent years, deep learning has been widely used in CPI research, which has accelerated the development of CPI prediction in drug discovery.This review focuses on feature-based CPI prediction models.First, we described the datasets, as well as typical feature representation methods commonly used for compounds and proteins in CPI prediction.Based on the critical problems in modeling, we discussed models for CPI prediction from two perspectives: multimodal features and attention mechanisms.Then, the performance of 12 selected models was evaluated on 3 benchmark datasets for both classification and regression tasks.Finally, the review summarizes the existing challenges in this field and prospects for future directions.We believe that this investigation will provide some reference and insight for further research on CPI prediction.

OBJECTIVES: With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T₁ weighted free-breathing star-volumetric interpolated breath hold examination (T₁WI star-VIBE) in identifying benign and malignant lung nodules. METHODS: We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T₁WI-VIBE, the contrast-enhanced T₁WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared. RESULTS: There were significant differences in unenhanced T₁WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T₁WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001). CONCLUSIONS T₁WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging ; Plasma ; Tomography, X-Ray Computed ; Lung

In recent years, single cell sequencing technology has developed rapidly. With the advantages of few cells needed, high throughput and high sensitivity, it has been applied to genome sequencing and transcriptome sequencing of human tissues and cells to facilitate the research of cell interaction and cell heterogeneity. Under the influence of the complex factors such as the change of marriage and childbirth, social and environmental factors, the incidence rate of infertility has increased year by year. How to protect human fertility has become a social hot spot. The application of single cell sequencing technology in assisted reproduction reveals the development, maturation and aging laws of germ cells more accurately, explains the law of early embryonic development, decrypts the molecular regulation research mechanism of reproductive diseases from the genetic level and epigenetic modification. This article reviewed the application progress of single cell sequencing technology in the field of reproduction, in order to provide a reference for further exploring the development track, pathological changes, genetic diagnosis and molecular regulation mechanism of human reproductive system.

In recent years, single cell sequencing technology has developed rapidly. With the advantages of few cells needed, high throughput and high sensitivity, it has been applied to genome sequencing and transcriptome sequencing of human tissues and cells to facilitate the research of cell interaction and cell heterogeneity. Under the influence of the complex factors such as the change of marriage and childbirth, social and environmental factors, the incidence rate of infertility has increased year by year. How to protect human fertility has become a social hot spot. The application of single cell sequencing technology in assisted reproduction reveals the development, maturation and aging laws of germ cells more accurately, explains the law of early embryonic development, decrypts the molecular regulation research mechanism of reproductive diseases from the genetic level and epigenetic modification. This article reviewed the application progress of single cell sequencing technology in the field of reproduction, in order to provide a reference for further exploring the development track, pathological changes, genetic diagnosis and molecular regulation mechanism of human reproductive system.

To develop a timesaving and easy operating Reverse Phase (RP) chromatography method, we adopted Thermo Pierce RP C18 Tip to separate small amount hippocampus peptide mixtures and to compare with high performance liquid chromatography (HPLC). According to the separation performance of 4 ACN gradient optimization methods, we determined the best ACN concentration gradient. The results showed that, the experiment took only 10 min by separating with eight ACN concentration gradient, which accounted 1/4 for HPLC. But as for the identified proteins, RP C18 Tip accounted 85.5% for HPLC. ACN gradient of 5%, 15%, 20% and 90% had best repeatability (P = 0.429) and result for separating 30 μg peptides. This method is easy to operate, timesaving and has low cost. It could be used into pretreatment of small amount complex proteomic samples.
Chromatography, High Pressure Liquid ; Chromatography, Reverse-Phase ; methods ; Peptides ; Proteins ; isolation & purification ; Proteomics ; methods