OBJECTIVE To construct and evaluate nomogram prediction model for refractory chemotherapy-induced nausea and vomiting （CINV）. METHODS The data of malignant tumor patients who received chemotherapy at the Third People’s Hospital of Zhengzhou from January 2017 to December 2023 were collected. These patients were categorized into the occurrence group and the non-occurrence group according to the occurrence of refractory CINV. Multivariate Logistic regression analysis was employed to screen predictive factors for refractory CINV and constructing a nomogram prediction model. Model performance was assessed via receiver operating characteristic curve analysis. Model calibration was evaluated using Bootstrap resampling. Decision curve analysis （DCA） was used to determine the clinical net benefit of three strategies under different risk thresholds. Clinical impact curves were utilized to assess the clinical value of the model at different risk thresholds. Shapley additive explanations （SHAP） analysis was performed to evaluate individual factor contributions to the predictive model. RESULTS A total of 388 patients were included， with 219 experiencing refractory CINV. Multivariate Logistic regression identified 11 predictive factors for refractory CINV， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， etc. The model’s area under the curve was 0.80 [95% confidence interval （0.76， 0.84）]， with a mean error of 0.036. DCA demonstrated the prediction model had higher clinical net benefit when the risk threshold was between 0.05 and 0.85. SHAP analysis revealed the top three predictive factors as gastrointestinal disease history （0.924）， chemotherapy- induced emetic risk classification （0.866）， and electrolyte levels （0.581）. CONCLUSIONS Eleven factors， including gastrointestinal disease history， anticipated nausea and vomiting， chemotherapy-induced emetic risk classification， and electrolyte levels， are identified as predictors of refractory CINV. The model based on these factors has good predictive ability， which can be used to predict the risk of refractory CINV.

BACKGROUND: Over 20 million colonoscopies are performed in China annually. An automatic clinical decision support system (CDSS) with accurate semantic recognition of colonoscopy reports and guideline-based is helpful to relieve the increasing medical burden and standardize the healthcare. In this study, the CDSS was built under a hierarchical-label interpretable classification framework, trained by a state-of-the-art transformer-based model, and validated in a multi-center style. METHODS: We conducted stratified sampling on a previously established dataset containing 302,965 electronic colonoscopy reports with pathology, identified 2041 patients' records representative of overall features, and randomly divided into the training and testing sets (7:3). A total of five main labels and 22 sublabels were applied to annotate each record on a network platform, and the data were trained respectively by three pre-training models on Chinese corpus website, including bidirectional encoder representations from transformers (BERT)-base-Chinese (BC), the BERT-wwm-ext-Chinese (BWEC), and ernie-3.0-base-zh (E3BZ). The performance of trained models was subsequently compared with a randomly initialized model, and the preferred model was selected. Model fine-tuning was applied to further enhance the capacity. The system was validated in five other hospitals with 3177 consecutive colonoscopy cases. RESULTS: The E3BZ pre-trained model exhibited the best performance, with a 90.18% accuracy and a 69.14% Macro-F1 score overall. The model achieved 100% accuracy in identifying cancer cases and 99.16% for normal cases. In external validation, the model exhibited favorable consistency and good performance among five hospitals. CONCLUSIONS The novel CDSS possesses high-level semantic recognition of colonoscopy reports, provides appropriate recommendations, and holds the potential to be a powerful tool for physicians and patients. The hierarchical multi-label strategy and pre-training method should be amendable to manage more medical text in the future.
Humans ; Colonoscopy/methods* ; Deep Learning ; Decision Support Systems, Clinical ; Female ; Male

The triple energizer is the pathway for the transportation and metabolism of qi,blood and body fluid in the body,and the xuanfu(sweat pores)is the way for the ascending,descending,exiting,and entering of qi movement in the muscular striae and the exterior.Professor Li Huilin believes that the pathogenesis of acne is usually due to the dysfunction of triple energizer and the stagnation of depressed yang-heat,which result into the abnormal opening and closing of the xuanfu and the accumulation of heat-toxin in the muscular striae.For the treatment of acne with traditional Chinese medicine,it is necessary to pay attention to the regulation of triple energizer-xuanfu.The treatment should be based on unblocking therapy,and the therapeutic principle of unblocking triple energizer and opening xuanfu should be taken into account.In clinical practice,it is necessary to identify the syndromes of upper energizer,middle energizer and lower energizer.The syndrome of the upper energizer is often due to fire-heat,which results from the wind-heat in lung meridian or the exuberance of heart fire.The upper-energizer syndrome can be treated by the therapy of relieving and clearing the pathogens with light and mild drugs,expelling fire-heat to open sweat pores,and through the modified use of Mahuang Lianqiao Chixiaodou Decoction,Ma Xing Shi Gan Decoction,or Puji Xiaodu Decoction.The syndrome of the middle energizer is usually due to the qi stagnation,which results from intense stomach-heat,damp-heat in the spleen and stomach,liver depression and qi stagnation,or spleen deficiency with dampness accumulation.The middle-energizer syndrome can be treated by the therapy of regulating qi movement to relieve stagnation and open sweat pores,and through the modified use of Qingwei san,Sanren Decoction,Huanglian Wendan Decoction,Chaihu Shugan Powder,or Heqi Powder.The syndrome of the lower energizer is often due to healthy-qi deficiency,which results from yin deficiency of liver and kidney,or deficiency-cold in lower energizer.The lower-energizer syndrome can be treated by the therapy of cultivating the vital essence and consolidating vital base,supplementing deficiency to open sweat pores,and through the modified use of Liuwei Dihuang Pills or Yanghe Decoction.

Objective To explore the medication rules of Professor Li Huilin in treating Hashimoto's thyroiditis(HT)complicated with hypothyroidism using data mining techniques based on the R language.Methods Prescription data of the patients with HT complicated with hypothyroidism treated by Professor Li Huilin in outpatient clinics from March 2023 to March 2024 were collected.A database was established using Microsoft Excel 2021,and R language was employed to analyze the frequency,efficacy,properties and flavors,and meridian tropism of the medicinals from Chinese herbal prescriptions.Additionally,correlation analysis,association rule analysis,and cluster analysis were performed on the medicines from Chinese herbal prescriptions.Results A total of 57 Chinese herbal prescriptions involving 125 medicinals with 782 medication frequencies were included.The top 10 frequently-used medicinals were Glycyrrhizae Radix et Rhizoma Praeparata cum Melle(Zhigancao),Angelicae Sinensis Radix(Danggui),Atractylodis Macrocephalae Rhizoma(Baizhu),Astragali Radix(Huangqi),Bupleuri Radix(Chaihu),Cinnamomi Ramulus(Guizhi),Leonuri Herba(Yimucao),Paeoniae Radix Alba(Baishao),Poria(Fuling),and Fici Simplicissimae Radix(Wuzhimaotao).Most of the medicinals had therapeutic action of tonifying deficiency.The analysis of properties and flavors showed that the majority of medicinals were mild or warm in nature,and sweet in flavor.The top three meridians having the tropism of medicinals were the liver,lung,and spleen meridians.Correlation analysis identified five strongly-correlated herbal combinations.Association rule mining revealed a core herbal combination consisting of seven medicinals of Zhigancao,Huangqi,Danggui,Chaihu,Codonopsis Radix(Dangshen),Baizhu,and Cyperi Rhizoma(Xiangfu).Cluster analysis of medicinals with a frequency of≥5 yielded five groups of herbal combination.Conclusion For the treatment of HT complicated with hypothyroidism,Professor Li Huilin follows the principle of addressing the root cause of the disease,and focuses on strengthening the spleen and replenishing qi.Moreover,attention is given to soothing the liver and regulating qi,harmonizing qi and blood simultaneously,and treating symptoms and root cause simultaneously.

Objective To explore the protective effect of miR-374c-5p on hydrogen peroxide(H2O2)-induced apoptosis of human umbilical vein endothelial cells(HUVECs).Methods HUVECs were cultured in vitro and the harvested cells were divided into four groups:control group,H2O2 group,H2O2+miR-374c-5p mimics trans-fection group,and H2O2+miR-374c-5p inhibitor transfection group.Cell activity was assessed by CCK-8 prolifer-ation rate assay,apoptosis was detected by TUNEL staining microscopy.Expression of miR-374c-5p and Fas mRNA by RT-qPCR,and Fas protein in HUVECs by was detected by Western blot.Results Proliferation of HUVECs was significantly inhibited(P＜0.001);H2O2 was significantly increased as compared with the H2O2 in-tervention group(P＜0.001);Proliferation in H2O2+miR-374c-5p inhibitor transfection group was significantly increased as compared to H2O2 intervention group(P＜0.001).Conclusions miR-374c-5p protectes the HUVECs against apoptosis induced by H2O2.

Objective To detect the expressions of intercellular adhesion molecule-1(ICAM-1)and nu-clear factor(NF)-κB in hepatic tissues of the patients with chronic hepatitis B,and to analyze their correlation with the hepatic inflammatory activity and fibrosis degree.Methods The liver biopsy specimens from 66 pa-tients with hepatitis B and 10 non-hepatopathic controls were selected,and immunohistochemistry and in situ hybridization were used to detect ICAM-1 and NF-κB expression levels in different liver tissues.Results The positive rate of ICAM-1 and NF-κB expression in liver tissues of the patients with chronic hepatitis B was higher than that in normal liver tissues,and the difference was statistically significant(P＜0.05).The expres-sion of ICAM-1 and NF-κB in the patients with hepatitis B was positively correlated with the inflammatory ac-tivity and fibrosis degree(r=0.493,0.496,P＜0.01;r=0.580,0.519,P＜0.01).Conclusion ICAM-1 and NF-κB in the patients with chronic hepatitis B are highly expressed,which is useful in judging the hepatic in-flammatory activity and fibrosis degree.

The clinical data of one child with metanephric stromal tumor (MST) and BRAF V600E gene mutation admitted to the First Affiliated Hospital of Zhengzhou University in June 2022 was analyzed retrospectively.Literature was reviewed.The patient, a 2-year-old girl, was diagnosed with a tumor in the left abdomen.The maximum diameter of the tumor was 10.5 cm.A radical nephrectomy was performed on the left kidney, and postoperative pathology revealed MST.Microscopically, the tumor had no envelope and exhibited expansive growth.The tumor cells were fusiform or stellate, and nuclear division was visible in the cell-rich region.Dysplastic blood vessels were seen inside the tumor.The tumor cells around the blood vessels and invaginated renal tubules were arranged like onion skin.CD34 was detected positive by immunohistochemical staining, and BRAF V600E mutation was also detected positive by fluorescent polymerase chain reaction.A total of 21 relevant case reports were retrieved, including 16 in English and 5 in Chinese.Fifty-eight MST patients, including the one in this report were analyzed.These patients were aged 2 days to 15 years, with a median age of 2 years.Except for 2 patients with unknown sex, the ratio of male to female was about 1.4∶1.0.Most MST patients were asymptomatic, with an average tumor size of 5.3 cm.The tumor cell CD34 showed positive expression in different degrees.Eight patients received the BRAF V600E mutation detection, and the results were all positive.Fifty-eight patients underwent nephrectomy and were followed up for 0-156 months, of which 7 patients were assisted with radiotherapy and chemotherapy.During the follow-up, 1 patient died, and 1 patient had a relapse.MST is a rare benign renal stromal tumor. BRAF V600E mutations are detected in a variety of malignancies.This paper is the first to report MST with BRAF V600E mutation in China and points out the importance of molecular detection of BRAF mutation for accurate diagnosis of MST.

Objective:To construct pancreatic cancer cell lines expressing luciferase and mesothelin (MSLN), and evaluate the feasibility of using them as target cells in analyzing the cytotoxicity activity of immune cells.Methods:Lentiviral vectors expressing luciferase and MSLN genes were constructed, and pancreatic cancer cell lines were infected after lentivirus packaging. Single-cell clones were obtained by limited dilution following antibiotic screening, and the stable expression of the target genes were verified. These cells were used as target cells to detect the cytotoxicity of immune cells by real-time cell analysis (RTCA) and luciferase activity. Besides, these luciferase-expressing cells were transplanted into B-NDG mice to establish the animal models of pancreatic cancer, and in vivo optical imaging technology was used to detect the expression of luciferase and monitor the tumor growth in mice. The cytotoxicity of chimeric antigen receptor T (CAR-T) cells was verified in these animal models. Results:Three pancreatic cancer cell lines, panc-1-luc, panc-1-luc-MSLN and capan-2-luc, that could stably express luciferase and MSLN genes were successfully constructed. The expression of the reporter gene in these cells were high, and positively correlated with the number of cells. There were 95.6% of panc-1-luc-MSLN cells expressing MSLN. MSLN-CAR-T cells had specific killing effect on MSLN-positive panc-1-luc-MSLN cells and capan-2-luc cells, with the minimum killing rates of (70.00±18.19)% and (57.00±5.29)%, respectively. But they had no cytotoxicity to MSLN-negative panc-1-luc cells. RTCA results showed that MSLN-CAR-T cells were able to lyse all three pancreatic cancer cell lines, and the minimum killing rates were (56.33±7.64)%, (93.00±2.65)% and (26.33±28.15)%, respectively. The killing of target cells by NK-92MI cells was not depended on MSLN expression. The cytotoxicity in the mice models of pancreatic cancer was consistent with the results in vitro. The in vivo and in vitro test results suggested that the expression of luciferase by target cells could reflect the cytotoxicity of immune cells. Conclusions:This study establishes three pancreatic cancer cell lines stably expressing luciferase, which can be used to evaluate the cytotoxicity of immunotherapy products targeting tumor cells in vitro and in vivo.

OBJECTIVE To evaluate the effects of ABCB1 genotypes on the efficacy and safety of taxanes in the treatment of breast cancer. METHODS By searching Embase，the Cochrane Library， PubMed， CNKI， and Wanfang databases， cohort studies and case-control studies about taxanes in the treatment of breast cancer were collected from the establishment of the database to July 2023. After screeningliterature， extracting data and evaluating quality， meta-analysis was performed by using RevMan 5.3 software. RESULTS A total of 11 studies were included， involving 1 321 patients. There was no correlation between the three genotypes and effective rate， the incidence of myelosuppression， the incidence of neurotoxicity （except for the allele and recessive model of ABCB1 C1236T）， and the incidence of hypersensitivity reactions （P＞0.05）. The subgroup analysis showed that there was a correlation between ABCB1 C1236T dominant model and effective rate when using anthracyclines+5-fluorouracil+cyclophosphamide+taxanes （P＜0.05）， there was a correlation between ABCB1 C3435T recessive model and effective rate when using taxanes+trastuzumab （P＜0.05）. ABCB1 C1236T allele model and recessive model were correlated with sample size ≥100 and using cyclophosphamide+epirubicin+5- fluorouracil+paclitaxel or cyclophosphamide+epirubicin+paclitaxel+trastuzumab or cyclophosphamide+epirubicin+5-fluorouracil+ trastuzumab+paclitaxel regimens； recessive model with sample size ＜100 and the African region were correlated with the incidence of peripheral neuropathy； recessive model was correlated with cutaneous adverse reactions （P＜0.05）. ABCB1 C3435T recessive model was correlated with the incidence of reduced neutrophil count with sample size ≥100； the incidence of white blood cell count reduction with sample size ＜100 and using docetaxel+epirubicin+cyclophosphamide was correlated with both the allele model and the dominant model； the incidence of infections was correlated with the dominant model （P＜0.05）. The incidence of neutrophil count reduction with the sample size ＜100 was correlated with allele model of ABCB1 G2677T/A； the incidence of edema with sample size ≥100 was correlated with allele model and recessive model； the incidence of infection was correlated with allele model and dominant model， especially in patients with neutrophil count complicated with fever （P＜0.05）. CONCLUSIONS ABCB1 genotypes are not correlated with effective rate of taxanes in the treatment of breast cancer， but ABCB1 C3435T genotype is associated with decreased neutrophil counts， decreased white blood cell counts and infections； ABCB1 C1236T genotype is associated with neurotoxicity and cutaneous adverse reactions； ABCB1 G2677T/A genotype is associated with decreased neutrophil counts， infections， and edema.