Objective To establish a cell bank of extrahepatic cholangiocarcinoma (ECC)-derived organoids and investigate the key factors influencing the organoids generation. Methods The tumor samples from patients with portal cholangiocarcinoma (pCCA) and distal cholangiocarcinoma (dCCA) were used to isolate cells, and these cells were cultured using three-dimensional (3D) technique to establish ECC organoids. Histological characteristics of the organoids were evaluated and identified through hematoxylin-eosin (HE) and immunohistochemistry stainings. The success rates of organoids generation from different tumor types were compared. And clinical characteristics of patients between successful and failure culture groups were compared. Results The success rates of organoids establishment from pCCA and dCCA were all low, with 42.4% (14/33), 51.9% (14/27), respectively. The tumor was larger in successful group than that in failure group (P＜0.001); there was no statistical difference in tumor differentiation status, microvascular invasion, and perineural invasion between the two groups. Conclusions The successful rate of ECC-derived organoids establishment is low, and larger tumor has higher successful culture rate.

Objective: To investigate the relationship of metabolic score for insulin resistance (METS-IR) with bone mineral content (BMC) and bone metabolic markers levels among adolescents, so as to provide a scientific foundation for the early identification and prevention of bone related diseases. Methods: From 2017 to 2019 and 2023, a total of 1 414 adolescents aged 12-18 years from Yinchuan were selected using a method combining convenient sampling with stratified cluster random sampling. The data of basic information, body mass index, BMC, serum osteocalcin (OC), type I collagen cross linked C-terminal peptide (CTX) and calcium (Ca), METS-IR among adolescents were obtained by questionnaire survey, physical measurement and laboratory examination,and METS-IR was divided into four groups Q1-Q 4 according to P 25 , P 50 and P 75 . Logistic regression models combined with restricted cubic splines were employed to analyze the relationship between METS-IR and low BMC as well as low bone metabolic markers. The receiver operating characteristic (ROC) curve was used to evaluate METS-IR effectiveness in diagnosing low BMC. Results: The levels of BMC, OC, CTX, Ca and METS-IR in the surveyed adolescents were (2.66±0.52)kg, (20.49±13.77) ng/mL , (2 460.89±1 818.96)pg/mL, (2.47±0.67)mmol/L, 30.63±7.58. After adjusting for gender, age and physical activity level, METS-IR in Q 4 group had a reduced risk of low BMC and low CTX [ OR (95% CI )=0.03(0.01-0.07), 0.45(0.32-0.65)] and an elevated risk of low OC [ OR (95%CI )=1.85(1.28-2.67)], compared with the Q 1 group (all P <0.05). Gender stratified analyses revealed similar trends for both males and females (all P <0.05). Non linear dose response relationships were observed between METS-IR and low BMC ( P total trend <0.01, P non linearity =0.01), as well as low OC ( P total trend <0.01, P non linearity =0.01), while a linear relationship was detected with low CTX ( P total trend <0.01, P non linearity =0.72). ROC curves revealed that METS-IR had the best diagnostic performance for low BMC (AUC=0.85, 95% CI=0.82-0.88, P <0.01). Conclusions Higher METS-IR score is linked to reduced risk of low BMC and CTX but increase risk of low OC among adolescents. These findings suggest METS-IR is a reliable indicator for assessing BMC and early predicting bone health risk among adolescents.

Head and neck squamous cell carcinoma （HNSCC） is one of the ten most common cancers worldwide and is one of the refractory cancers with a poor prognosis in otorhinolaryngology-head and neck surgery. Cetuximab is widely used in the clinical treatment of HNSCC and has been approved by the FDA as a first-line chemotherapeutic agent. However, its efficacy varies significantly among different individuals. Therefore, exploring the resistance mechanisms of cetuximab in the treatment of HNSCC and screening for sensitive populations are essential for the precision treatment of head and neck cancer. This article summarizes the research progress on cetuximab resistance mechanisms in HNSCC, and the main aspects include: alterations in epidermal growth factor receptor （EGFR） and its ligands, changes in downstream effectors of EGFR, bypass activation and crosstalk, epithelial-mesenchymal transition, epigenetic modifications, and immunosuppression in the tumor microenvironment.
Humans ; Cetuximab/therapeutic use* ; Drug Resistance, Neoplasm ; Squamous Cell Carcinoma of Head and Neck/drug therapy* ; Head and Neck Neoplasms/drug therapy* ; ErbB Receptors/metabolism* ; Tumor Microenvironment ; Epithelial-Mesenchymal Transition ; Molecular Targeted Therapy ; Antineoplastic Agents, Immunological/therapeutic use*

Objective To investigate the expression levels of LINC02009 and LOC107984895 in peripheral lymphocytes of patients with atrial fibrillation and their clinical significance.Methods A total of 75 hospitalized patients with atrial fibrillation(50 with persistent atrial fibrillation and 25 with paroxysmal atrial fibrillation)from Kunming First People's Hospital between January 2023 and December 2023 were selected as study subjects,along with 50 normal control patients.Real-time quantitative PCR was used to detect the expression levels of LINC02009 and LOC107984895 in peripheral blood leukocytes of patients with atrial fibrillation.Logistic regression analysis was employed to assess the relationship between expression levels and risk factors for atrial fibrillation,and ROC curves were used to predict the diagnostic cut-off values for LINC02009 and LOC107984895 in diagnosing atrial fibrillation.Results There were statistically significant differences in baseline diseases such as hypertension and coronary heart disease,biochemical indicators such as Cr and BNP,and myocardial remodeling indicators such as LAd and LVEF between the AF(paroxysmal atrial fibrillation and persistent atrial fibrillation)group and the Normal group(P＜0.05).The expression levels of LINC02009 and LOC 107984895 in the plasma of the atrial fibrillation group were significantly higher than those in the control group(P＜0.05)and were negatively correlated with LVEF(P＜0.05).The areas under the curve(AUC)of LINC02009 and LOC 107984895 in predicting atrial fibrillation were 0.967(95％CI:0.938～0.995)and 0.900(95％CI:0.838～0.963),respectively.The optimal cut-off values were 1.985 and 0.915,with sensitivities of 88％and 76％,respectively,and specificities of 94％and 90％,respectively.Conclusion LINC02009 and LOC 107984895 are independent risk factors for atrial fibrillation and have certain predictive value for the occurrence of atrial fibrillation.

Background::Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine learning (ML) plays a critical role in characterizing cardiovascular risks, predicting outcomes, and identifying biomarkers. This work sought to develop an ML model for helping APE diagnosis and compare it against current clinical probability assessment models.Methods::This is a single-center retrospective study. Patients with suspected APE were continuously enrolled and randomly divided into two groups including training and testing sets. A total of 8 ML models, including random forest (RF), Na?ve Bayes, decision tree, K-nearest neighbors, logistic regression, multi-layer perceptron, support vector machine, and gradient boosting decision tree were developed based on the training set to diagnose APE. Thereafter, the model with the best diagnostic performance was selected and evaluated against the current clinical assessment strategies, including the Wells score, revised Geneva score, and Years algorithm. Eventually, the ML model was internally validated to assess the diagnostic performance using receiver operating characteristic (ROC) analysis.Results::The ML models were constructed using eight clinical features, including D-dimer, cardiac troponin T (cTNT), arterial oxygen saturation, heart rate, chest pain, lower limb pain, hemoptysis, and chronic heart failure. Among eight ML models, the RF model achieved the best performance with the highest area under the curve (AUC) (AUC = 0.774). Compared to the current clinical assessment strategies, the RF model outperformed the Wells score ( P = 0.030) and was not inferior to any other clinical probability assessment strategy. The AUC of the RF model for diagnosing APE onset in internal validation set was 0.726. Conclusions::Based on RF algorithm, a novel prediction model was finally constructed for APE diagnosis. When compared to the current clinical assessment strategies, the RF model achieved better diagnostic efficacy and accuracy. Therefore, the ML algorithm can be a useful tool in assisting with the diagnosis of APE.

Thyroid carcinoma is a common malignant tumor of the endocrine system and its incidence has increased significantly in recent years. Surgery is the most important initial treatment for thyroid cancer, but total thyroidectomy increases the risk of postoperative hyponatremia and recurrent laryngeal nerve injury while prolonging the disease-free survival of patients, decreasing the risk of disease recurrence and reducing residual lesions. Therefore, how to make the best surgical decision based on preoperative findings is still controversial. V-raf murine sarcoma viral oncogene homolog B1 ( BRAF), as one of the common genetic mutations in thyroid malignant tumors, is closely related to the degree of malignancy and prognosis of the tumor. Preoperative BRAF gene testing can help determine the aggressive pathological features of thyroid tumors and provide scientific guidance for clinicians to decide the scope of surgical resection.This article reviews the guiding role of BRAF gene mutation detection results in total thyroid cancer resection.

Objective:To evaluate the safety and efficacy of thoracic radiotherapy (TRT) for extensive-stage small cell lung cancer (ES-SCLC) patients in the era of first-line chemoimmunotherapy.Methods:Medical records of 56 patients with ES-SCLC who received thoracic radiotherapy after first-line platinum-based chemotherapy plus immunotherapy in Cancer Hospital Chinese Academy of Medical Sciences from January 2018 to December 2021 were retrospectively analyzed. The control group was not established for clinical causes. The overall survival (OS), progression-free survival (PFS) and local recurrence-free survival (LRFS) were calculated using the Kaplan-Meier method. Univariate and multivariate analyses were employed to identify prognostic factors using the Cox proportional hazards model. The cumulative incidence of local regional recurrence (LRR) was estimated using the Fine-Grey competing risks regression model.Results:Among 56 patients in our cohort, 47 patients received consolidative TRT (cTRT) before progression and 9 patients received salvage TRT after progression. The median follow-up time was 21 months (95% CI=19.8-22.2 months), the median OS was not reached, the median PFS was 9 months (95% CI=7.0-13.0 months), and the 1-year and 18-month OS rates were 84.9%, 62.1%. In the cTRT group, the 1-year and 18-month OS rates were 84.1%, 64.5%, with the median PFS of 10 months; 1-year and 18-month LRFS rates were 73.6% and 66.0%, respectively; the cumulative incidence of LRR at 1-year and 2-year were 24.9% and 30.8%, respectively. No other 4-5 grade adverse events (AE) were reported except 6 patients presenting with 4 grade hematologic toxicities. Three grade radiation esophagitis occurred in 3 patients (5%). Ten patients (18%) developed 1-2 grade treatment-related pneumonitis, including 5 (9%) patients with immune related pneumonitis and 5 (9%) patients with radiation pneumonitis. Conclusion:The application of TRT after first-line chemoimmunotherapy is safe and may has potential survival benefit for patients with ES-SCLC.

Objective To assess the predictive value of computed tomography pulmonary angiography(CTPA)cardiovascular parame-ters for chronic thromboembolic pulmonary hypertension(CTEPH)under the 2022 European Society of Cardiology/European Respiratory Society(ESC/ERS)guidelines,and to compare with the 2021 Chinese guidelines.Methods A total of 201 suspected CTEPH patients were retrospectively selected.All patients underwent right heart catheterization(RHC)and CTPA evaluation.According to the Euro-pean guidelines,they were divided into three groups:mean pulmonary artery pressure(mPAP)≤20 mmHg control group(63 cases)(1 mmHg=0.133 kPa),mPAP＞20 mmHg CTEPH group(138 cases),and mPAP≥25 mmHg CTEPH group(123 cases).Inter-group comparison of CTPA cardiovascular parameters was performed,and receiver operating characteristic(ROC)curve analysis was performed for each parameter.Results Under the 2022 European guidelines,the diagnostic efficacy of the diameter of the main pulmonary artery trunk(MPAd)was the highest[area under the curne(AUC)was 0.933].The binary logistic regression analysis revealed that the MP Ad,right ventricular free wall thickness(RVWT),and interventricular septal angle(IVSA)were inde-pendent risk factors for the diagnosis of CTEPH(P＜0.05).Under both the Chinese and European guidelines,the MPAd,the transverse diameter and area of the right atrium,the transverse diameter and area of the bi-ventricle,the RVWT,and the IVSA showed significant statistical differences in CTEPH and control groups(P＜0.05).Conclusion Under both the Chinese and European guidelines,the MP Ad measured by CTPA has the highest diagnostic efficacy for CTEPH,while the IVSA has the strongest correlation with clinical prognostic indicators.The right atrium structure also has evaluation value.

ObjectiveTo explore the molecular mechanism implicated in the treatment of primary myelofibrosis （PMF） using Chinese medicinal herbs （CMH） by bioinformatics and molecular dynamics. MethodsData mining was performed to find the high-frequency CMH in treating PMF between the year of 1985 and 2024 by searching CNKI， Chinese Science and Technology Journal Database （CCD）， and China Academic Journal Database （CSPD）. TCMSP， SwissTargetPrediction and related reports were used to collect the main active ingredients of high-frequency CMH and their targets. The PMF datasets GSE44426 and GSE124281 were downloaded from GEO database， and R software was used for data normalization and differentially expressed genes （DEGs） screening. Key module hub genes were obtained by weighted gene co-expression network analysis （WGCNA） analysis. The common intersection genes of active ingredient targets， DEGs and key module hub genes of CMH were selected， and the target network was generated using Cytoscape 3.9.2 software. The core target network was generated by topological analysis， while key pathways were selected by GO and KEGG pathway enrichment analysis， and protein interaction relationships were obtained from the String database， so as to construct drug-ingredient-target network and protein interaction network （PPI） relationship diagrams. Discovery Studio 2020 software was used to perform molecular docking， and the GROMACS program was used to perform molecular dynamics simulation. ResultsA total of 21 prescriptions were collected involving 121 herbs. There were 9 herbs with a frequency ≥10 times， which were Danshen （Radix et Rhizoma Salviae Miltiorrhizae）， Huangqi （Radix Astragali）， Baizhu （Rhizoma Atractylodis Macrocephalae）， Danggui （Radix Angelicae Sinensis）， Dangshen （Radix Codonopsis）， Gancao （Radix et Rhizoma Glycyrrhizae）， Baishao （Radix Paeoniae Alba）， Fuling （Poria） and Shudihuang （Radix Rehmanniae Praeparata） from high- to low-frequency. A total of 98 active ingredients and 1125 potential targets were obtained from 9 high-frequency CMH. GSE44426 and GSE124281 data sets screened out 24 gene samples， including 14 of the healthy control group and 10 of the PMF group， and identified 319 DEGs between the two groups， including 122 up-regulated genes and 197 down-regulated genes. WGCNA screened out 24 co-expression module genes and found that the five modules closely related to the onset of PMF were MEpink， MEdarkred， MEblack， MEgrey， and MEturquoise， involving 7112 key module hub genes. The GO and KEGG enrichment analyses indicated that lipids and the atherosclerosis pathways were mainly involved in the mechanism of above high-frequency CMH in treating PMF， which included six hub protein targets： HSP90AA1， HSP90AB1， SRC， MAPK1， IL1B and IL10. From the drug-ingredient-target network， seven active ingredients of CMH targeting at these six hub targets were found， including verbascoside， verbascos isoflavone， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The molecular docking and molecular dynamics analyses showed that the key CMH were Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and among the seven active ingredients， calycosin had the highest binding affinity with HSP90AB1. ConclusionThe main CMH for the treatment of PMF may be Shudihuang， Huangqi， Baishao， Danshen， Gancao and Fuling， and the active ingredients include verbascoside， verbascos isoflavones， kaempferol， luteolin， naringenin， quercetin and pachymic acid. The relevant targets are HSP90AA1， HSP90AB1， SRC， MAPK1， IL-10， and IL-1β， and the most critical pathways are lipid and atherosclerosis pathways.