Background/Aims: Regorafenib is recommended by guidelines and trials as a sequential second-line therapy following progression on first-line sorafenib or lenvatinib in hepatocellular carcinoma (HCC). However, efficacy is limited, highlighting the urgent need to screen suitable patients and develop sensitization strategies. Methods: Acquired sorafenib- or lenvatinib-resistant (SR or LR) HCC cell lines and organoids were established. Genome-wide CRISPR library screen was performed in SR or LR cell strains to identify synthetic lethal targets of regorafenib. RNA-seq and FITC-regorafenib efflux assay were used to elucidate ERBB3-driven downstream signaling. Preclinical mouse models of cell line- and patient-derived xenografts and clinical cohorts of HCC patients were employed to validate the efficacy of ERBB3-guided patient stratification. Results: Screening with CRISPR library, we showed that inhibition of ERBB3 was synthetic lethal with regorafenib in SR or LR cell strains and organoids. Mechanistically, SR or LR triggered feedback activation of ERBB3 signaling and mediated regorafenib efflux via ERBB3-HIF1A-ABCB1 cascade pathway, limiting sensitivity to regorafenib. Moreover, ERBB3-low tumors following SR or LR exhibited significant sensitivity to regorafenib, suggesting its potential as a predictive biomarker to screen optimal candidates for sequential therapy. Seribantumab, an ERBB3-targeting monoclonal antibody, inhibited ERBB3-HIF1A-ABCB1 cascade, and its combination with regorafenib exerted marked synergistic anti-tumor effects on ERBB3-high tumors resistant to sorafenib or lenvatinib both in vitro and in vivo. Conclusions This study revealed that ERBB3 was a key resistance factor driving limited efficacy to sequential regorafenib, but also an effective therapeutic target whose inhibition enhanced regorafenib sensitivity after SR or LR.

Objective To systematically evaluate the efficacy and safety of traditional Chinese medicine (TCM) compound in treating pulmonary nodules, providing evidence-based medical evidence for TCM intervention in pulmonary nodules. Methods Computer search of PubMed, CNKI, Wanfang, VIP, and SinoMed was conducted to select randomized controlled trials (RCTs) of TCM compound intervention in pulmonary nodules, with the retrieval time from the inception to November 29, 2023. The Cochrane bias risk assessment tool was used to evaluate the quality of the included studies, and Review Manager 5.4 was used for Meta-analysis. Results A total of 18 RCTs were included, covering 8 provinces across the country, with a total sample size of 1301 patients. The TCM compounds used in the included studies all incorporated the method of dissolving phlegm and dissipating nodules. There was a high risk of bias uncertainty in the included studies. Meta-analysis results suggested that TCM compound could significantly reduce the diameter of pulmonary nodules [MD=−1.41, 95%CI (−1.70, −1.13), P<0.001], decrease the number of nodules [MD=−0.37, 95%CI (−0.73, −0.01), P=0.05], alleviate clinical symptoms [MD=−4.84, 95%CI (−6.04, −3.64), P<0.001], and improve lung function [forced expiratory volume in one second (FEV1), MD=0.55, 95%CI (0.09, 1.01), P=0.02; FEV1/forced vital capacity, MD=6.12, 95%CI (4.47, 7.78), P<0.001]. However, there was no statistically significant difference in the probability of malignancy between the experimental group and the control group [MD=−0.01, 95%CI (−0.01, 0.00), P=0.09]. Conclusion TCM compound can significantly reduce the diameter of pulmonary nodules, decrease the number of nodules, alleviate clinical symptoms, and improve lung function, but future multicenter, large-sample, high-quality RCTs are still needed to further explore and verify this conclusion.

ObjectiveTo investigate the inhibitory effect of Huoluo Xiaolingdan on triple negative breast cancer （TNBC） in mice through its regulation of TCF1⁺CD8⁺ stem cell-like T cells infiltration. MethodsA mouse model of TNBC was established and the mice were randomly divided into the model group， low-dose （3.9 g·kg^-1）， medium-dose （7.8 g·kg^-1） and high-dose （15.6 g·kg^-1） Huoluo Xiaolingdan groups， and anti-PD-1 antibody treatment group. Each group was given a dose of 0.01 mL·g^-1， while the model group and the anti-PD-1 treatment group were also given an equivalent volume of normal saline. The drug was administered for 21 days. In the anti-PD-1 antibody group， mice were intraperitoneally injected with 100 μg of mouse anti-PD-1 antibody twice a week， for a total of five injections. The tumor volume， survival time and tumor mass were measured at different time points. Hematoxylin-eosin （HE） staining was used to observe the histological changes of the tumor. The expression of CD8⁺T cells and TCF1⁺CD8⁺ stem-like T cells in tumor tissues was detected by immunohistochemistry and immunofluorescence staining. Flow cytometry was used to detect the difference of immune cell subsets in tumors and the expression difference of TCF1⁺CD8⁺ stem cell-like T cells in tumors and peripheral blood. The expression level of PD-L1 in tumor tissues was detected by Western blot. ResultsCompared with model group， the tumor volume and mass of in low-， medium- and high-dose Huoluo Xiaolingdan groups and anti-PD-1 group were decreased （P<0.05， P<0.01）. The median survival time of mice in low-， medium- and high-dose Huoluo Xiaolingdan groups and anti-PD-1 group was as follows： 27.00 days （95%CI， 0.45-2.65）， 31.00 days （95%CI， 0.32-1.89）， 34.00 days （95%CI， 0.40-2.33）， and 35.00 days （95%CI， 0.42-2.47）. All of them were higher than that of the model group ［24.50 days （95%CI， 0.37-10.5）］. Flow cytometry showed that compared with the model group， the proportion and number of infiltrating CD8⁺ T cells in tumor were increased in low-， medium- and high-dose Huoluo Xiaolingdan groups and anti-PD-1 group （P<0.05， P<0.01）， while the proportion of tumor regulatory T cells （Treg） and M2 macrophages decreased （P<0.05）. Compared with the model group， the proportion of IFN-γ⁺CD8⁺ T and GrzB⁺CD8⁺ T cells in tumors in low-， medium- and high-dose Huoluo Xiaolingdan groups and anti-PD-1 group was increased （P<0.01）， and the proportion of TCF1⁺CD8⁺ T cells in tumor and peripheral blood was also increased. Immunofluorescence staining further showed that the number of TCF1⁺CD8⁺ T cells in tumor tissues increased in low-， medium- and high-dose Huoluo Xiaolingdan groups. Western blot analysis showed no significant decrease in the PD-L1 protein expression in tumor tissues between the Huoluo Xiaolingdan groups and the model group. ConclusionHuoluo Xiaolingdan can inhibit TNBC in mice by increasing tumor infiltration of TCF1⁺CD8⁺ stem-like T cells， enhancing CD8⁺ T cell activity， and regulating immune cell subgroups such as M2 macrophages and Treg cells to enhance anti-tumor immunity. This study provides a theoretical basis for the clinical application of Huoluo Xiaolingdan in breast cancer treatment and combination therapy.

Thoracolumbar spine fracture often leads to severe pain, functional impairments, and neurological deficits, for which open reduction and internal fixation can effectively restore the spinal structural stability. Open decompression and reduction with internal fixation can help relieve spinal cord compression and improve spinal function in cases of concomitant cord injury. Although spinal stability can be restored through surgery, patients often face chronic pain and functional impairments postoperatively. A postoperative rehabilitation program is critical in optimizing therapeutic outcomes, reducing complications, and minimizing the risk of secondary injuries. However, current rehabilitation methods, such as physical therapy, functional training, and pain management, are confronted with problems in clinical practice, including significant variation in efficacy, poor patient adherence, and prolonged rehabilitation period. There is an urgent need for a unified rehabilitation strategy to address these problems. To this end, the Spinal Trauma Group of the Orthopedic Physicians Branch of the Chinese Medical Association and the Spine Health Professional Committee of the Chinese Human Health Technology Promotion Association organized experts from relevant fields to formulate Evidence-based guidelines for rehabilitation treatment after internal fixation of thoracolumbar spine fracture in adults ( version 2025) by integrating evidences from clinical researches and advanced rehabilitation concepts at home and abroad. A total number of 14 recommendations concerning the rehabilitation treatment with multimodal analgesia, psychological intervention, deep vein thrombosis prevention, core muscle and extremity exercise, appropriate use of braces, early weight-bearing, device-aided rehabilitation exercise, neuroregulatory therapy, rehabilitation team were put forward, aiming to standardize the post-operative rehabilitation process following internal fixation, promote the functional recovery, and enhance patients′ quality of life.

Objective To analyze the stimulation parameters and acupoint selection law of electroacupuncture in the treatment of cervical spondylotic radiculopathy(CSR)through data mining.Methods The clinical research literature about electroacupuncture in the treatment of CSR was retrieved from CNKI,Wanfang Data,VIP,PubMed and Web of Science from the establishment of the databases to September 2024.According to the inclusion and exclusion criteria,the literature was screened and the stimulation parameters and acupoint prescriptions were extracted.The association rule analysis was performed using SPSS Moderler 18.0 software,and clustering analysis was performed using SPSS Statistics 27.0 software.Results A total of 122 acupoint selection prescriptions for electroacupuncture treatment of CSR were extracted.The most commonly used stimulation parameters in electroacupuncture treatment of CSR were 2 Hz of continuous wave,2/100 Hz of dilatational wave,intensity tolerance,30 min/time,1 time/day,10 times/course,and a total of 20 treatments.The top 3 most commonly used acupoints were Jingjiaji,Houxi(SI3)and Fengchi(GB20);the meridians of acupoints were mainly the large intestine meridian,small intestine meridian and gallbladder meridian;the core prescription of association rule analysis was"Jingjiaji,Houxi,Quchi,Fengchi,Jianjing,Waiguan,Tianzhu,Hegu,Dazhui",and the acupoint combination with the highest support was"Jingjiaji-Houxi".5 clusters were obtained through clustering analysis.Conclusion In electroacupuncture treatment for CSR,the selection of acupoints is primarily aimed at unblocking meridians to relieve pain and nourishing the liver and kidney.The core acupoints group is Jingjiaji-Houxi;the stimulation parameters demonstrate a certain degree of regularity and clustering,primarily consisting of low-frequency continuous wave and alternating density wave of low and high frequencies.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To explore the research progress and hotspots of intelligent ultrasound imaging in the diagnosis of thyroid nodules and clarify the research directions via the bibliometric method.Methods The relevant research articles on intelligent ultrasound imaging in the diagnosis of thyroid nodules were retrieved from the Web of Science Core Collection,covering the period from January 2004 to August 2024.Python was used to analyze the number of annual publications.VOSviewer was used to create the co-occurrence network of authors and the keyword density map.CiteSpace was used to demonstrate the dual-map overlays of the journals,as well as the bursts and clustering of co-citations and keywords.Results A total of 1 179 articles were included.The annual number of publications increased steadily.The involved journals demonstrated high quality,and the publications showed a trend of cross-research.Chinese researchers were the core research force in this field.Haugen et al.'s study on the guidelines for thyroid nodules had the most citations.The clustering of co-citations and keywords indicated studies in multiple fields.Thyroid nodules,cancer,and deep learning were the representative keywords in this field.Conclusions The continuous enrichment of research topics promotes the rapid development of intelligent ultrasound imaging for thyroid nodules.Intelligent diagnosis methods based on deep learning can provide diagnostic suggestions,while there are still challenges such as interpretation.One of the research directions is the deep combination of intelligent diagnosis algorithms and medical knowledge.
Thyroid Nodule/diagnostic imaging* ; Humans ; Ultrasonography ; Bibliometrics

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

The aim of this updated guideline is to provide comprehensive recommendations for the management of gout in patients with common comorbidities, such as chronic kidney disease(CKD), cardiovascular disease(CVD), diabetes, osteoarthritis(OA), and gastrointestinal disorders. This guideline was developed by a multidisciplinary expert panel consisting of specialists in endocrinology, rheumatology, nephrology, cardiology, gastroenterology, and methodology. The development process adhered to standard methodologies, including PICO(population, intervention, comparator, and outcomes) question deconstruction, systematic literature review, the Grading of Recommendations Assessment, Development and Evaluation(GRADE) for evidence and recommendation evaluation, Delphi voting, and expert consensus. The guideline presents 26 evidence-based recommendations addressing 7 clinical questions for patients with hyperuricemia and gout in the context of comorbidities. Key recommendations include the maintenance of strict serum urate targets, particularly for patients with CKD stage≥3, chronic gouty arthritis, and OA, in order to prevent disease progression. In patients with CVD or diabetes, intra-articular triamcinolone is preferred over systemic glucocorticoids. Prioritized anti-inflammatory treatments for patients with CKD, gastrointestinal diseases and OA are recommended. The guideline also introduces emerging therapies, such as interleukin-1 inhibitors and selective urate transport inhibitors, as potential treatment options for refractory cases. The update offers a comprehensive, patient-centered approach to managing gout, particularly in individuals with associated comorbidities. Multidisciplinary collaboration and emerging new treatments and evidence ensure the optimization of the recommendations.