ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

ObjectiveTo systematically evaluate the content differences of 4 components in Leonuri Herba granules， reveal the quality fluctuation patterns of products from the same and different manufacturers， providing scientific basis for the optimization of production process and quality control. MethodsHigh performance liquid chromatography-diode array detector-charged aerosol detector（HPLC-DAD-CAD） was employed to determine the contents of 4 components（syringic acid， leonurine hydrochloride， ferulic acid， and stachydrine hydrochloride） in samples from 19 manufacturers（53 batches， 159 boxes）. Additionally， fingerprint profiles were constructed， and the fingerprint dissimilarity（P_S） and relative standard deviation（RSD） of different samples from the same manufacturer were calculated. A principal component analysis（PCA） model was established with P_S and the RSD values of the 4 components as variables to classify the manufacturers. Finally， samples from 5 manufacturers（M1-M5） covering three consistency groups were selected to calculate three quality consistency parameters， namely intra-batch consistency（P_A）， inter-batch consistency（P_B）， and P_S. Then， PCA was performed with P_A， P_B， and P_S of these 5 manufacturers as variables. ResultsThe average total content of the 4 index components per bag across the 19 manufacturers ranged from 41.10 mg to 97.54 mg. Among them， the content of stachydrine hydrochloride（a pharmacopoeial quality control component） was 32.46-72.70 mg per bag， all meeting the requirements of the 2025 edition of the Pharmacopoeia of the People's Republic of China， with RSD of 1.7%-17.1%. The content ranges of the other 3 components were as follows：syringic acid of 1.43-41.92 mg per bag， leonurine hydrochloride of 0.67-11.85 mg per bag， and ferulic acid of 0.11-3.81 mg per bag. Notably， leonurine hydrochloride exhibited the most significant content fluctuation among samples from the same manufacturer（RSD of 4.8%-59.2%）. PCA results showed that the 19 manufacturers could be classified into 3 categories. Samples from 8 manufacturers（M2， M6， M7， M8， M10， M15， M17， M18） demonstrated relatively high consistency， five manufacturers（M3， M9， M12， M13， M14） showed moderate consistency， six manufacturers（M1， M4， M5， M11， M16， M19） exhibited low consistency. The two methods yielded consistent classification results for the 5 representative manufacturers， verifying the reliability of the proposed method. Among these， manufacturer M2 showed the best quality consistency and the highest total content of indicator components among M1-M5. ConclusionThe HPLC-DAD-CAD multi-detector hyphenation technology established in this study enables the accurate detection of 4 components in Leonuri Herba granules. Significant differences in the total content of these four components are observed among products from 19 manufacturers. The application of 2 consistency evaluation methods combined with PCA can effectively classify their consistency into 3 categories， and the classification results of the 2 methods are highly consistent. This study provides scientific basis for the process optimization and quality standard improvement of Leonuri Herba granules.

The 2025 American Society of Clinical Oncology (ASCO) Annual Meeting was held in Chicago. At the meeting, researches on the treatment of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) once again took the spotlight. Combination therapy strategies have demonstrated the potential to overcome resistance to EGFR tyrosine kinase inhibitor (EGFR-TKI) and prolong survival. Meanwhile, progress has also been made in individualized treatment strategies for young patients and those with fibrotic interstitial lung disease. However, the complexity of resistance mechanisms, special treatment considerations for different populations, and the impact of socioeconomic factors on treatment accessibility remain challenges in the field of EGFR-mutant NSCLC treatment. In the future, it is necessary to further explore more effective treatment regimens and expand the accessibility of precision medicine to maximize patient benefits.

The 26th World Conference on Lung Cancer (WCLC) was held in Barcelona during September 6-9, 2025. As the world's largest and most influential academic meeting in the field of lung cancer, this year's congress unveiled long-term follow-up data from several pivotal studies and significant advances in novel therapeutic strategies. In the realm of targeted therapy, a next-generation combination strategy has been established as the new standard of care for the first-line treatment of patients with advanced epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC), demonstrating a significant improvement in overall survival. In immunotherapy, novel combination regimens have not only addressed the therapeutic challenge of acquired resistance to EGFR targeted therapies, but also shown clear long-term survival benefits in both the perioperative and locally advanced settings. These findings pave the way for shifting the treatment paradigm to earlier stages for patients with NSCLC. Antibody-drug conjugates have made remarkable strides in this field. They have shown outstanding efficacy in patients with specific resistance mutations and those with brain metastases, and have also demonstrated immense potential in treating patients with HER2-aberrant lung cancer and broader NSCLC populations. This offers new therapeutic options for patients with refractory lung cancer.However, significant challenges remain, including the heterogeneity of resistance mechanisms, the selection of optimal treatment regimens, and management strategies for special populations. Future research should focus on identifying novel precision biomarkers and optimizing therapeutic strategies to ultimately improve clinical outcomes for all patients with lung cancer.

The 2024 World Conference on Lung Cancer (WCLC) and the European Society for Medical Oncology (ESMO) Annual Meeting, two of the most prestigious events in oncology, have concluded sequentially. As the most authoritative annual gatherings in lung cancer and the entire oncology field, the WCLC and ESMO conferences brought together top oncology experts and scientists from around the world to share, discuss, and publish the latest cutting-edge advancements in oncology. In both conferences, lung cancer immunotherapy remained a hot topic of considerable interest. This article aims to summarize and discuss the important research progress on perioperative immunotherapy for non-small cell lung cancer reported at the two conferences.

The 2025 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held from January 23 to 25, 2025. Several significant studies on the treatment of esophageal and gastroesophageal junction (GEJ) cancer were presented at the symposium, highlighting notable advances, particularly in the perioperative and advanced settings. Immunotherapy has demonstrated significant promise in the neoadjuvant treatment of esophageal cancer, showing potential to become a standard treatment. Furthermore, the long-term survival benefits of combining immunotherapy with chemotherapy for advanced GEJ cancer were further validated. This article summarizes and interprets the researches presented at the symposium concerning perioperative and advanced treatments for esophageal and GEJ cancers.

The 2025 European Lung Cancer Congress (ELCC) convened in Paris, France, centering on the optimization and innovation of immunotherapy for non-small cell lung cancer (NSCLC). Key topics at the congress included the application strategies for perioperative immunotherapy, breakthroughs in combination therapy models for advanced NSCLC, and the emerging roles of biomarkers in predicting diverse treatment outcomes. This paper integrates data from several key pivotal studies to systematically analyze the clinical value of neoadjuvant therapy within the perioperative setting, the potential of targeted combination regimens, and the challenges of managing drug resistance, thus offering new directions for clinical practice.

Professor LIU Qingguo's academic thoughts and clinical experience in treating pediatric tic disorders with scalp fire needling is introduced. Professor LIU believes that the core pathogenesis of this disease lies in "wind stirring and qi disorder, leading to the spirit failing to govern the body". Therefore, treatment should focus on "regulating the spirit to stabilize the form and extinguishing wind to stop movement". Clinically, the main acupoints include Shenting (GV24), Benshen (GB13), Xinhui (GV22), Baihui (GV20), Sishencong (EX-HN1), Fengchi (GB20), and Fengfu (GV16), which are rapidly punctured with fine fire needles, leading to significant therapeutic efficacy.
Humans ; Acupuncture Therapy/methods* ; Child ; Tic Disorders/therapy* ; Acupuncture Points ; Male ; Scalp ; Female ; Adolescent ; Child, Preschool

The 2024 American Society of Clinical Oncology Gastrointestinal Cancers Symposium (ASCO-GI) was held in San Francisco, the USA from January 18th to 20th, 2024 (local time). The multiple studies presented in this symposium will have a significant impact on the clinical practice of esophageal cancer. This article will focus on the surgical methods of esophageal cancer, perioperative immunotherapy, drug therapy for advanced esophageal cancer, rescue treatment after immunotherapy resistance, and other relevant aspects. It aims to summarize and interpret the significant advancements in the field of esophageal cancer presented in this symposium.

Background and purpose:The standard therapy for locally advanced rectal cancer(LARC)is neoadjuvant chemoradiotherapy(nCRT)followed by surgery.NCRT can make the tumor regress and downstage,and increase the R0 resection rate.However,individual differences in rectal cancer are large,and some patients respond poorly to nCRT and cannot benefit from nCRT.Therefore,it is necessary to establish effective screening measures to identify patients with poor response to nCRT.This study aimed to analyze the influencing factors of nCRT for LARC and construct the tumor regression prediction model.Methods:Data of 158 LARC patients who underwent total mesenteric resection after receiving nCRT at the First Hospital Affiliated to Air Force Medical University from January 2016 to December 2020 were collected.Baseline clinical indicators before nCRT were collected,including laboratory examination,tumor markers and magnetic resonance imaging(MRI).According to the tumor size reported by MRI before and after nCRT,Response Evaluation Criteria in Solid Tumors(RECIST)was used to evaluate the extent of tumor regression after nCRT.After receiver operating characteristic(ROC)curve was used to standardize the clinical baseline indicators,logistic regression analysis was carried out to screen the factors affecting the tumor regression.The tumor regression prediction model was constructed by logistic regression,and the performance of the model was evaluated based on decision curve analysis(DCA)and the calibration curve.The accuracy of the model was tested by 10-fold cross-validation.Results:This retrospective cohort study enrolled 158 patients,in which,98 patients achieved complete response(CR)or partial response(PR).The objective response rate was 62%.Sixty patients had poor response to nCRT,either stable disease(SD)or progressive disease(PD).Multivariate logistic regression analysis showed that tumor diameter before treatment(P＜0.001),time to surgery after nCRT(P = 0.006),D-dimer(P = 0.010),prognostic nutrition index(PNI)(P = 0.035),carcinoembryonic antigen(CEA)(P = 0.004)and extramural vascular invasion(EMVI)(P = 0.026)were significantly related to tumor regression after nCRT.The area under ROC curve(AUC)of tumor regression after nCRT prediction model for LARC was 0.84(95%CI:0.780-0.899),sensitivity was 85.0%,and specificity was 72.4%.In the calibration curve,the predicted results were in good agreement with the actual results,and the prediction accuracy was good.The DCA showed that the tumor regression prediction model could bring clinical net benefit to diagnosis.Conclusion:Tumor diameter before treatment,time to surgery after nCRT,D-dimer,PNI,CEA and EMVI are independent risk factors for the tumor regression after nCRT in LARC patients.The tumor regression prediction model based on the above factors has good predictive efficacy for the tumor regression after nCRT in LARC patients.