Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

In this work, starting from 4-hydroxycoumarin, three series of 22 coumarin derivatives, among which 8 have not been reported in the literature, were synthesized and their in vitro anti-inflammatory activities and mechanisms of action were preliminarily investigated using mouse macrophage model. The results showed that most of the derivatives could significantly inhibit the production of pro-inflammatory factor NO, with compounds 2e, 2f, 2g, 2h, 2i, 2j, 4e, and 4f showing better anti-inflammatory activity than the positive control drug dexamethasone. Further experiments showed that compounds 2h and 4f significantly inhibited the production of pro-inflammatory factors IL-6, TNF-α and IL-1β in RAW264.7 macrophages, and could, therefore, be used as lead compounds for further studies.

This article reports one case of adult COVID-19-associated acute necrotizing encephalopathy(ANEC).The patient developed disturbance of consciousness and seizure on the 12th day after SARS-CoV-2 infection.Imaging showed significant swelling and signal changes in the bilateral thalamus,brainstem,cerebral hemisphere and cerebellar hemisphere,which were consistent with the characteristic images of Acute necrotizing encephalitis(ANE).Although methylprednisolone shock therapy and high-dose human immunoglobulin therapy were given early,the patient died.ANEC often starts quickly and progresses rapidly,unconsciousness and seizure are the main manifestations.Imaging features of thalamic and subtentorial symmetry and multifocal lesions are specific for diagnosis,but the treatment and prognosis still face challenges and need further study.

Objective To assess the impact of statins combined with sorafenib(SRF)therapy on survival outcomes in patients with metastatic renal cell carcinoma(mRCC).Methods Clinical data of mRCC patients treated in the 908th Hospital of the Joint Security Force from November 2019 to November 2023 were retrospectively analyzed.They were categorized into statin group and non-statin group according to whether they used statins or not,and the differences in the primary endpoint of overall survival(OS),secondary endpoints of progression-free survival(PFS),objective response rate(ORR),and disease control rate(DCR)were compared between the two groups.Results A total of 80 patients were included in the study,with 27 in the statin group and 53 in the non-statin group.There were no statistically significant differences in partial remission,stable disease,disease progression,and DCR between the two groups(P＞0.05);complete remission and ORR were significantly higher in the statin group than in the non-statin group(P＜0.05).Kaplan-Meier analysis showed that,compared with the non-statin group,the median PFS and OS of the statin group were prolonged,and the difference in median PFS between the two groups was statistically significant(P＜0.05).In terms of safety,the incidence of other adverse events was similar in both groups(P＞0.05).Conclusion Statins combined with SRF treatment regimen can improve ORR and DCR and prolong median PFS and OS in patients with mRCC.

Intracerebral hemorrhage (ICH) is a hemorrhagic cerebrovascular disease with high incidence and mortality. Oxidative stress response plays an important role in the pathological and physiological processes of ICH, and is also a potential effective target for clinical treatment. In this paper, the pathogenesis of oxidative stress after ICH, mechanism of nerve and vascular injury in oxidative stress, and detection and treatment of oxidative stress are reviewed in order to provide references for basic research and clinical practice in ICH.

Objective To compare the therapeutic effect of lauromacrogol combined with different concentrations of pingyangmycin in the treatment of low-flow venous malformations of limbs.Methods A total of 83 child patients with low-flow venous malformations of limb,who were admitted to the Xi'an Thoracic Surgery/Tumor(Hemangioma)Intervention Center of China between 1 January 2021 and 1 June 2022,were enrolled in this study.The child patients were randomly divided into group A(n=42)and group B(n=41).Under imaging guidance,lauromacrogol mixed together with pingyangmycin(2 mg/mL in group A,and 1 mg/mL in group B)was slowly injected into the cavity of venous malformations until the drug mixture filled the tumor cavity.The curative effect,number of treatments within 6 months,and the incidence of adverse reactions were compared between the two groups.Results Successful interventional sclerotherapy was accomplished in all the 83 child patients of both groups.During the follow-up period of 6 months,the effective rate in group A and group B was 92.9％(39/42)and 87.8％(36/41)respectively.A total of 88 interventional procedures were performed in group A and 137 interventional procedures in group B,the difference between the two groups was statistically significant(x2=3.282,P=0.047).Adverse reactions occurred in 10 child patients of group A and in 8 child patients of group B,the difference between the two groups was not statistically significant(P=0.709).Conclusion In treating low-flow venous malformations of limbs,the use of higher concentration pingyangmycin and lauromacrogol mixture has quite the same curative effect and incidence of adverse effects as the use of lower concentration pingyangmycin and lauromacrogol mixture,although the use of higher concentration pingyangmycin and lauromacrogol mixture can reduce the number of treatments in child patients.(J Intervent Radiol,2024,33:483-487)

Objective:To analyze epidemiological characteristics and spatiotemporal clustering of hepatitis A in China from 2005 to 2023.Methods:The incidence data of hepatitis A in China during 2005-2023 were collected from the China Disease Control and Prevention Information System .Results:From 2005 to 2023, a total of 605 509 cases of hepatitis A were reported in China. The average annual reported incidence rate was 2.32/100 000, the incidence was 2.85/100 000 in men and 1.81/100 000 in women, and the incidence was 3.25/100 000 in age group 0-14 years, 2.10/100 000 in age group 15-64 years and 2.49/100 000 in age group ≥65 years , respectively. The case count in farmers was highest (40.57%, 245 639/605 509). The proportion of the cases in jobless or the unemployed increased most obviously (347.32%), and the proportion of the cases in students decreased most significantly (90.27%). The average annual reported incidence rate in the western China was highest (4.45/100 000), followed by that in northeastern China (2.02/100 000), central China (1.89/100 000) and eastern China (1.16/100 000). From 2020 to 2023, the incidence of hepatitis A showed no spatial clustering. From 2005 to 2019, the obvious hot spots and high-high clustering areas mainly distributed in provinces, such as, Sichuan, Qinghai, Xinjiang, Xizang and Gansu. The low-low clustering areas were mainly distributed in Beijing, Tianjin, Hebei, Shandong, Jiangsu, Shanghai, Zhejiang, Fujian, Henan, Anhui, Jiangxi, Jilin and Liaoning. An independent high-low clustering was found in Shanxi during 2014-2019. A total of 5 high incidence clustering areas were detected through spatiotemporal scanning analysis.Conclusions:The incidence rate of hepatitis A in China declined significantly from 2005 to 2023. The reported incidence rate in the elderly showed no obvious decrease, and the reported cases accounted for the highest proportion in the whole population. Before 2020, the reported incidence rate of hepatitis A showed high-high clustering in western China, the spatiotemporal clustering disappeared from 2020 to 2023, but the reported incidence rate of hepatitis A in western China was still high. It is suggested to pay attention to the prevention and control of hepatitis A in populations at high risk and areas with high incidence of hepatitis A.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.