Proteasome activator PA28γ,also known as Ki antigen,REGγ or PSME3,is first found as Ki antigen in the serum of a patient with systemic lupus erythematosus,which belongs to 11S proteasome activator family together with PA28α and PA28β.In the amino acid sequence,PA28γ has 25%homology with PA28α and PA28β and its seven-subunit homomer is a 20S proteasome acti-vator,which mainly exists in the nucleus and participates in ubiquitin and ATP-dependent or independent protein degradation.More and more studies have reported the role of PA28γ in human immune-related diseases.This article reviews the function of PA28γ as a proteasome activator and its role in immune-related diseases including cancer,inflammation and virus infection-related diseases and other diseases in recent years,so as to reveal the role of PA28γ in the occurrence and development of immune-related diseases and its potential as a target for immunotherapy.

Objective To investigate the characteristics and clinicopathology of v-raf murine sarcoma viral oncogene homolog Bl(BRAF)V600E mutations in papillary thyroid carcinoma(PTC)in Air Force flight personnel.Methods Data of cases and test results of BRAF V600E mutation were collected from Air Force aviators pathologically diagnosed with PTC.A univariate analysis of the relationship between BRAF V600E mutations and clinicopathologic features was performed.Results The overall rate of BRAF V600E mutations among 55 PTC flight crew members was 70.91％.The univariate analysis showed that the number of lymph node metastases in the BRAF V600E mutated group was larger than in the BRAF V600E unmutated group,and the proportion of BRAF V600E mutations in flight crews at intermediate risk of recurrence was higher than that in those at low risk of recurrence(P＜0.05).The presence or absence of BRAF V600E mutations did not affect the results of medical evaluation of PTC in flight personnel.Conclusion The rate of PTC BRAF V600E mutations in Air Force flight crews is similar to that of the general Chinese population.BRAF V600E mutations are associated with an increased number of lymph node metastases and risk of recurrence,and follow-up is recommended for flight personnel with PTC,especially those with BRAF V600E mutations.

Objective To evaluate the predictive value of CT-enhanced imaging-based radiomics nomogram for the status of microsatel-lite instability(MSI)in colon cancer.Methods A retrospective analysis was conducted on 129 postoperative colon cancer patients with confirmed MSI status.They were randomly divided into a training group(n=90)and a validation group(n=39)at a ratio of 7:3.Radiomics features were extracted from preoperative CT-enhanced images of the patients.The predictive performance of various machine learning algorithms was evaluated using the area under the curve(AUC).A nomogram model was developed by incorporating clinical independent risk factors,and the model's overall performance was assessed using decision curve analysis(DCA).Results Age and lesion site were identified as prominent independent risk factors and utilized in the construction of a clinical model.The light gradient boosting machine(LightGBM)algorithm was chosen for building a radiomics model.As a joint model,the AUC of the nomogram model of 0.917 in the training group and 0.822 in the validation group.The DCA confirmed the substantial clinical applicability of the nomogram model.Conclusion The CT-enhanced imaging-based radiomics nomogram offers a pioneering and individualized predic-tive approach for determining the MSI status in colon cancer.

Objective:To explore the impact of tissue inhomogeneity correction on the accuracy of dose calculations in brachytherapy of cervical carcinoma by comparing the results of Monte Carlo (MC) dose simulation with those (TG43 algorithm) of treatment planning system (TPS).Methods:Firstly, the 192Ir source was modeled by using a MC code specially designed for brachytherapy, called egs_brachy. The accuracy of this model was verified by comparing it with the published data. Then, 8 brachytherapy plans of cervical carcinoma were selected which completed treatment at Sun Yat-sen University Cancer Center from January 2022 to May 2023, and their CT image data and treatment parameters were exported. Relevant plan information such as the source dwell positions and their corresponding dwell times were reconstructed on the patient's individualized CT images using a self-developed program. The MC dose distributions were calculated for each case and compared with the TPS calculations. When the anterior wall of the rectum was filled with gas, the differences between MC simulation and TPS calculation were compared. Additionally, 5 different calculation ranges were set for MC simulation, and the MC simulation results of different calculation ranges were compared with the TPS's, combining with the time of MC simulation, a reasonable MC calculation range was comfirmed. Then, the scipy.stats library of Python was utilized to perform independent sample t-test on dosimetric comparison results, including D 90% of high risk clinical target volume (HR-CTV) and D max, D mean, and D 2 cm3 of organs at risk (OAR). Results:The comparison between MC calculations and TPS results showed that the CTV's D 90%, the bladder's D mean and the small intestine's D mean were all within ± 1%, except for the D max difference of approximately 3% on the anterior wall of the rectum. The 2%/2 mm gamma pass rates were all>98%. When anterior wall of the rectum filled with gas, compared with MC, TPS overestimated the anterior wall of the rectum's D 2 cm3 and D mean by approximately 6.06% ( t=-6.80, P=0.002) and 5.35% ( t=-6.57, P=0.003), respectively. When the dose calculation range of MC was consistent with that of TPS, the MC calculation result underestimated the dose distribution in water by approximately 4%. When extending the MC dose calculation range by 2 cm beyond the TPS calculation range, the dose difference between MC and TPS in homogeneous water was approximately 1%, and the calculation time was saved by at least 8 h compared to MC dose calculation based on the whole CT. Conclusion:The existing TPS TG43 algorithm can ensure that the dose calculation of cervical carcinoma meets the basic accuracy requirements of clinical practice, but tissue inhomogeneity correction is recommended to improve the accuracy of dose calculation whenever possible.

Objective:To establish and validate a nomogram model for early prediction of the risk of acute pancreatitis (AP) progressing to severe acute pancreatitis (SAP).Methods:CT signs and clinical laboratory parameters of 361 AP patients admitted to our Hospital from January 2016 to July 2022 were retrospectively collected. There were 221 males (61.2%) and 140 females (38.8%). According to the Atlantic score, all patients were divided into the SAP group (64 cases) and the non-SAP (NSAP) group (297 cases). Univariate analysis was used to screen out variables with statistically significant differences. Multivariate Logistic regression analysis was used to screen out the independent risk factors of SAP, and finally a nomogram prediction model was established. Receiver operating characteristic (ROC) curve, calibration curve and decision curve (DCA) were used to evaluate the predictive efficacy, accuracy and clinical practicability of the model, and Bootstrap method was used to verify the model internally.Results:Univariate analysis and multivariate Logistic regression analysis showed that pleural effusion ( OR=7.353, 95% CI: 3.344-16.170), posterior pararenal space (PPS) involvement ( OR=3.149, 95% CI: 1.314-7.527), serum creatinine concentration (Cr) ( OR=1.027, 95% CI: 1.017-1.038) and serum calcium concentration (Ca 2+) ( OR=0.038, 95% CI: 0.009-0.166) were independent risk factors for SAP ( P<0.05). A Nomogram model was established based on these four factors. The area under the ROC curve (AUC) of this model was 0.905 (95% CI: 0.869-0.933), indicating high predictive efficiency. Internal verification showed that the model had good accuracy in predicting SAP, and C-index was 0.90. DCA analysis showed that the model had high clinical practicability. Conclusions:The Nomogram model combining pleural effusion, PPS involvement, Cr and Ca 2+ had a good effect on early prediction of SAP, which could provide a new reference tool for clinical diagnosis and treatment.

Objective:To explore the relationship between affective temperament and the severity of depressive symptoms in medical college students.Methods:From October to November 2021, a questionnaire survey was conducted among 1 780 medical undergraduates from two medical colleges in Anhui Province.The Chinese version of temperament scale of Memphis, Pisa, Paris and San Diego autoquestionnaire (TEMPS-A) and the Chinese version of the Beck depression inventory (BDI-Ⅱ) were used to evaluate the affective temperament and depressive symptoms of medical college students, respectively.SPSS 23.0 software was used for statistical analysis of the data.Ordinal Logistic regression model was used to analyze the impact of affective temperament characteristics on the severity of depressive symptoms.Results:The detection of depressive symptoms among medical college students was 6.4% with mild depression, 7.4% with moderate and severe depression and 86.2% without depression.The scores of cyclothymic, depressive, irritable, hyperthymia and anxious temperaments in TEMPS-A were significantly different among medical college students with different levels of depressive symptoms (all P<0.05). There were statistically significant differences in the detection rates of depression symptoms among medical college students with different typical affective temperament characteristics(all P<0.05). Ordinal Logistic regression model analysis showed that typical cyclothymic temperament ( OR=5.05, 95% CI: 3.68-6.94), typical depressive temperament ( OR=7.69, 95% CI: 4.64-12.86), typical hyperthymia temperament ( OR=0.30, 95% CI: 0.15-0.58), and typical anxious temperament ( OR=2.41, 95% CI: 1.75-3.32) were influencing factors for the severity of depressive symptoms in medical college students. Conclusion:Affective temperament, especially typical depressive temperament, typical cyclothymic temperament and typical anxious temperament can affect the severity of depressive symptoms in medical college students.

Humans ; Esophageal Squamous Cell Carcinoma/pathology* ; Esophageal Neoplasms/pathology* ; Carcinoma, Squamous Cell/pathology* ; Precancerous Conditions/pathology* ; Early Diagnosis

Objective:To evaluate the value of preoperative aspartate aminotransferaseto platelet ratio index (APRI) and fibrosis index 4 (Fib4) in predicting posthepatectomy liver failure (PHLF) of primary hepatocellular carcinoma.Methods:The data of 587 patients with hepatocellular carcinoma admitted to the First Affiliated Hospital of Xinjiang Medical University from January 2014 to January 2020 were retrospectively collected and analyzed, including 412 males and 175 females, aged (56.8±11.2) years. Univariate and multivariate logistic regression were used to analyze the influencing factors of PHLF. The ability of Child-Pugh score, model for end-stage liver diseas (MELD) score, APRI and Fib4 to predict PHLF was evaluated through the receiver operating characteristic (ROC) curve of subjects.Results:Among 587 patients, 186 (31.7%) had liver failure after hepatectomy. In multivariate logistic regression analysis, APRI ( OR=2.660, 95% CI: 1.314-5.384, P=0.007) and Fib4 ( OR=1.322, 95% CI: 1.157-1.511, P<0.001) were risk factors for PHLF in patients with hepatocellular carcinoma. The higher the number, the greater the risk of PHLF. The predicted area under the ROC curve of PHLF in patients with hepatocellular carcinoma was Fib4(0.719)>APRI(0.686)>MELD score(0.618)>Child-Pugh score(0.565). Conclusion:APRI and Fib4 were risk factors of PHLF in patients with hepatocellular carcinoma. They predict the occurrence of PHLF better than Child-Pugh score and MELD score.

Objective:To establish a real-time fluorescent quantitative TaqMan reverse transcription polymerase chain reaction (Real-time RT-PCR) detection method for Wuxiang virus (WUXV).Methods:All gene sequences of WUXV were downloaded from GenBank, and multi-sequence alignment analysis was performed using Mega-X. Primers and probes designed for the highly conservative region of S-segment genes were selected to evaluate the specificity, sensitivity and stability of detection reactions.Results:The established method can specifically detect WUXV and does not cross-react with various arboviruses. The lowest detection limit was 1 pfu/ml. The inter-batch variation coefficients of repeated detection cycle threshold ( Ct) of the same sample were all less than 1.00%. TaqMan RT-PCR was used to detect 30 batches of sandflies nucleic acid samples, and 7 of them showed positive amplification curve of WUXV. Conclusions:TaqMan RT-PCR with high sensitivity, specificity and repeatability has been successfully established, which can be used to screen large quantities of samples of WUXV.

"The Expert Group on Tumor Ablation Therapy of Chinese Medical Doctor Association, The Tumor Ablation Committee of Chinese College of Interventionalists, The Society of Tumor Ablation Therapy of Chinese Anti-Cancer Association and The Ablation Expert Committee of the Chinese Society of Clinical Oncology" have organized multidisciplinary experts to formulate the consensus for thermal ablation of pulmonary subsolid nodules or ground-glass nodule (GGN). The expert consensus reviews current literatures and provides clinical practices for thermal ablation of GGN. The main contents include: (1) clinical evaluation of GGN, (2) procedures, indications, contraindications, outcomes evaluation and related complications of thermal ablation for GGN and (3) future development directions.
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