1.Ameliorative Effect of Wendantang Combined with Danshenyin and Dushentang on Ischemic Heart Disease with Phlegm-stasis Syndrome in Mice Based on Circulating Monocytes
Fenghe YANG ; Ziqi TIAN ; Zhiqian SONG ; Shitao PENG ; Wenjie LU ; Tao LIN ; Chun WANG ; Zhangchi NING
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):22-32
ObjectiveTo investigate the ameliorative effect of Wendantang combined with Danshenyin and Dushentang (WDD) on mice with ischemic heart disease (IHD) presenting phlegm-stasis syndrome based on the inflammatory phenotype and differentiation of circulating monocytes. MethodsA model of IHD with phlegm-stasis syndrome was established using left anterior descending coronary artery ligation supplemented with a high-fat diet. Eighty model mice were randomly assigned to the model group, WDD low-dose group (WDD-L), WDD medium-dose group (WDD-M), WDD high-dose group (WDD-H), and atorvastatin calcium tablet group, with 16 mice in each group. An additional 16 C57BL/6J mice were designated as the sham-operation group. The WDD groups received intragastric administration at doses of 8.91, 17.81, 35.62 g·kg-1, and the atorvastatin calcium tablet group received the corresponding drug at 1.3 mg·kg-1, twice daily. The sham-operation and model groups were given the same volume of pure water by gavage each day. After 5 consecutive weeks of administration, the cardiac index was calculated. Cardiac function was assessed by echocardiography. Myocardial histopathology was examined by hematoxylin-eosin (HE) staining. Serum N-terminal pro-B-type natriuretic peptide (pro-BNP) content was measured by enzyme-linked immunosorbent assay (ELISA). Hemorheological parameters were analyzed using an automated hemorheology analyzer. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) were determined using an automated biochemical analyzer. Changes in circulating monocytes were detected by flow cytometry. Mouse bone marrow mononuclear cells were isolated in vitro and divided into blank group, model serum group, WDD-L drug-containing serum group, WDD-M drug-containing serum group, and WDD-H drug-containing serum group. CD36 expression and macrophage differentiation in each group were assessed by flow cytometry. The mechanism by which WDD mediates circulating monocyte differentiation was further explored using CD36 knockdown/overexpression RAW264.7 cell lines. ResultsCompared with the sham-operation group, the model group showed a significantly increased cardiac index (P0.01), significantly decreased fractional shortening (FS) (P0.01), and significantly increased left ventricular end-diastolic internal diameter (LVDD) and left ventricular end-systolic internal diameter (LVDS) (P0.01). Cardiomyocytes exhibited marked deformation and necrosis with inflammatory cell infiltration. Serum pro-BNP levels were significantly elevated (P0.01), and whole-blood viscosity (BV) at high, medium, and low shear rates was significantly increased (P0.01). Compared with the model group, the WDD groups showed significantly reduced cardiac index (P0.05, P0.01), significantly increased FS (P0.05, P0.01), significantly decreased LVDD and LVDS (P0.01), markedly improved cardiomyocyte morphology, significantly reduced inflammatory infiltration, significantly decreased serum pro-BNP levels (P0.01), and significantly decreased BV at high, medium, and low shear rates (P0.01), with the most pronounced improvement observed in the WDD-M group. Compared with the sham-operation group, TC, TG, and LDL levels were significantly increased in the model group (P0.05, P0.01), while HDL levels were significantly decreased (P0.05). After WDD-H treatment, TC, TG, and LDL levels were significantly reduced and HDL levels were significantly increased in mice (P0.05, P0.01). Compared with the sham-operation group, classical monocytes in blood and bone marrow and intermediate monocytes in blood were significantly increased in the model group (P0.01), whereas intermediate monocytes in bone marrow and non-classical monocytes in blood were significantly decreased (P0.01). After WDD administration, all circulating monocyte subsets in blood and bone marrow were significantly alleviated (P0.05, P0.01), with the WDD-M group showing the optimal effect. In vitro, compared with the blank group, CD36 expression on bone marrow monocytes and the proportion of differentiated macrophages were significantly increased in the model serum group (P0.01), and CD36 expression was significantly upregulated on RAW264.7 cells (P0.01). Compared with the model serum group, all drug-containing serum groups exhibited significantly reduced CD36 expression on bone marrow monocytes and significantly reduced macrophage differentiation (P0.01). WDD downregulated CD36 expression in both CD36 knockdown and overexpression RAW264.7 cell lines (P0.05, P0.01), with the strongest regulatory effect observed in the WDD-M drug-containing serum group. ConclusionWDD can significantly improve the manifestations of phlegm-stasis syndrome in IHD mice and reduce the proportion of classical circulating monocytes. Its mechanism may be related to the inhibition of CD36 expression on classical circulating monocytes.
2.Ameliorative Effect of Wendantang Combined with Danshenyin and Dushentang on Ischemic Heart Disease with Phlegm-stasis Syndrome in Mice Based on Circulating Monocytes
Fenghe YANG ; Ziqi TIAN ; Zhiqian SONG ; Shitao PENG ; Wenjie LU ; Tao LIN ; Chun WANG ; Zhangchi NING
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(3):22-32
ObjectiveTo investigate the ameliorative effect of Wendantang combined with Danshenyin and Dushentang (WDD) on mice with ischemic heart disease (IHD) presenting phlegm-stasis syndrome based on the inflammatory phenotype and differentiation of circulating monocytes. MethodsA model of IHD with phlegm-stasis syndrome was established using left anterior descending coronary artery ligation supplemented with a high-fat diet. Eighty model mice were randomly assigned to the model group, WDD low-dose group (WDD-L), WDD medium-dose group (WDD-M), WDD high-dose group (WDD-H), and atorvastatin calcium tablet group, with 16 mice in each group. An additional 16 C57BL/6J mice were designated as the sham-operation group. The WDD groups received intragastric administration at doses of 8.91, 17.81, 35.62 g·kg-1, and the atorvastatin calcium tablet group received the corresponding drug at 1.3 mg·kg-1, twice daily. The sham-operation and model groups were given the same volume of pure water by gavage each day. After 5 consecutive weeks of administration, the cardiac index was calculated. Cardiac function was assessed by echocardiography. Myocardial histopathology was examined by hematoxylin-eosin (HE) staining. Serum N-terminal pro-B-type natriuretic peptide (pro-BNP) content was measured by enzyme-linked immunosorbent assay (ELISA). Hemorheological parameters were analyzed using an automated hemorheology analyzer. Serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) were determined using an automated biochemical analyzer. Changes in circulating monocytes were detected by flow cytometry. Mouse bone marrow mononuclear cells were isolated in vitro and divided into blank group, model serum group, WDD-L drug-containing serum group, WDD-M drug-containing serum group, and WDD-H drug-containing serum group. CD36 expression and macrophage differentiation in each group were assessed by flow cytometry. The mechanism by which WDD mediates circulating monocyte differentiation was further explored using CD36 knockdown/overexpression RAW264.7 cell lines. ResultsCompared with the sham-operation group, the model group showed a significantly increased cardiac index (P<0.01), significantly decreased fractional shortening (FS) (P<0.01), and significantly increased left ventricular end-diastolic internal diameter (LVDD) and left ventricular end-systolic internal diameter (LVDS) (P<0.01). Cardiomyocytes exhibited marked deformation and necrosis with inflammatory cell infiltration. Serum pro-BNP levels were significantly elevated (P<0.01), and whole-blood viscosity (BV) at high, medium, and low shear rates was significantly increased (P<0.01). Compared with the model group, the WDD groups showed significantly reduced cardiac index (P<0.05, P<0.01), significantly increased FS (P<0.05, P<0.01), significantly decreased LVDD and LVDS (P<0.01), markedly improved cardiomyocyte morphology, significantly reduced inflammatory infiltration, significantly decreased serum pro-BNP levels (P<0.01), and significantly decreased BV at high, medium, and low shear rates (P<0.01), with the most pronounced improvement observed in the WDD-M group. Compared with the sham-operation group, TC, TG, and LDL levels were significantly increased in the model group (P<0.05, P<0.01), while HDL levels were significantly decreased (P<0.05). After WDD-H treatment, TC, TG, and LDL levels were significantly reduced and HDL levels were significantly increased in mice (P<0.05, P<0.01). Compared with the sham-operation group, classical monocytes in blood and bone marrow and intermediate monocytes in blood were significantly increased in the model group (P<0.01), whereas intermediate monocytes in bone marrow and non-classical monocytes in blood were significantly decreased (P<0.01). After WDD administration, all circulating monocyte subsets in blood and bone marrow were significantly alleviated (P<0.05, P<0.01), with the WDD-M group showing the optimal effect. In vitro, compared with the blank group, CD36 expression on bone marrow monocytes and the proportion of differentiated macrophages were significantly increased in the model serum group (P<0.01), and CD36 expression was significantly upregulated on RAW264.7 cells (P<0.01). Compared with the model serum group, all drug-containing serum groups exhibited significantly reduced CD36 expression on bone marrow monocytes and significantly reduced macrophage differentiation (P<0.01). WDD downregulated CD36 expression in both CD36 knockdown and overexpression RAW264.7 cell lines (P<0.05, P<0.01), with the strongest regulatory effect observed in the WDD-M drug-containing serum group. ConclusionWDD can significantly improve the manifestations of phlegm-stasis syndrome in IHD mice and reduce the proportion of classical circulating monocytes. Its mechanism may be related to the inhibition of CD36 expression on classical circulating monocytes.
3.Pathogenic Mechanisms of Spleen Deficiency-Phlegm Dampness in Obesity and Traditional Chinese Medicine Prevention and Treatment Strategies:from the Perspective of Immune Inflammation
Yumei LI ; Peng XU ; Xiaowan WANG ; Shudong CHEN ; Le YANG ; Lihua HUANG ; Chuang LI ; Qinchi HE ; Xiangxi ZENG ; Juanjuan WANG ; Wei MAO ; Ruimin TIAN
Journal of Traditional Chinese Medicine 2026;67(1):31-37
Based on spleen deficiency-phlegm dampness as the core pathogenesis of obesity, and integrating recent advances in modern medicine regarding the key role of immune inflammation in obesity, this paper proposes a multidimensional pathogenic network of "obesity-spleen deficiency-phlegm dampness-immune imbalance". Various traditional Chinese medicine (TCM) herbs that strengthen the spleen, regulate qi, and resolve phlegm and dampness can treat obesity by improving spleen-stomach transport and transformation, promoting water-damp metabolism, and regulating immune homeostasis. This highlights immune inflammation as an important entry point to elucidate the TCM concepts of "spleen deficiency-phlegm dampness" and the therapeutic principle of "strengthening the spleen and eliminating dampness to treat obesity". By systematically analyzing the intrinsic connection between "spleen deficiency generating dampness, internal accumulation of phlegm dampness" and immune dysregulation in obesity, this paper aims to provide theoretical support for TCM treatment of obesity based on dampness.
4.Expert consensus on the application of artificial intelligence in lung cancer screening, diagnosis, and treatment (2026 edition)
Wenzhao ZHONG ; Haibo WANG ; Yi HU ; Hao ZHANG ; Jigang DAI ; Junqiang FAN ; Guibin QIAO ; Fan YANG ; Jian HU ; Fengwei TAN ; Xuening YANG ; Qiang PU ; Zihao CHEN ; Hongxia TIAN ; Lunxu LIU ; Hecheng LI ; Xiaolong YAN ; Zongyang YU ; Zhenbin QIU ; Yihua SUN ; Jing HU ; Yuhang SHI ; Zhifei GUO ; Peng ZHANG ; Kezhong CHEN ; Shugeng GAO ; Yilong WU
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(06):848-856
With the continuous deepening of the concept of precision diagnosis and treatment for lung cancer, how to achieve higher efficiency and accuracy in the screening, diagnosis, and treatment pathways in clinical practice has become an important issue that urgently needs to be overcome. The current clinical difficulty lies in the fact that despite continuous advancements in imaging and molecular diagnostic technologies, there are still limitations in manual efficiency and subjective experience when it comes to massive data analysis and multi-scale feature extraction. Artificial intelligence (AI), especially algorithm systems based on deep learning, is an innovative technology capable of deeply empowering medical big data. This method utilizes algorithms such as convolutional neural networks, combined with radiomics, pathomics, and multi-modal data fusion analysis, demonstrating immense potential in early precise detection and benign-malignant differentiation of pulmonary nodules, digital pathological subtype recognition and non-invasive prediction of driver genes, precise 3D surgical planning and automatic delineation of radiotherapy target volumes, as well as dynamic risk warning during follow-up. This innovative technology provides a brand-new solution for realizing intelligent and individualized lung cancer diagnosis and treatment models. This consensus, based on the latest evidence from evidence-based medicine and combined with the development trends in the AI field and real-world clinical needs, was ultimately formed by gathering the consensus opinions of multidisciplinary experts in radiology, pathology, thoracic surgery, and other fields. The main content covers the application specifications of AI in the three core scenarios of lung cancer screening, diagnosis, and treatment, the technical standards for data collection and algorithm validation, as well as the ethical and regulatory challenges faced at the current stage. It aims to clarify the applicable boundaries of AI as a clinical auxiliary decision support tool, providing scientific guidance and standardized exploration directions for peers currently engaged in or planning to carry out AI-assisted clinical diagnosis, treatment, and translation of lung cancer.
5.Analysis of changes in visual function before and after small incision lenticule extraction in patients with different degrees of myopia
Meiluo ZHANG ; Chunyu TIAN ; Liexi JIA ; Qinghua YANG ; Hongtao ZHANG ; Hui CUI ; Mengyu PENG ; Ruihua WEI
International Eye Science 2025;25(6):980-985
AIM: To analyze the changes in binocular visual function before and after small incision lenticule extraction(SMILE)in patients with different degrees of myopia.METHODS:A prospective non-randomized controlled study was conducted. A total of 94 patients(188 eyes)who visited the refractive outpatient department of the ophthalmology department of the General Hospital of the PLA from June 2022 to June 2023 and voluntarily chose SMILE were consecutively included. They were grouped according to the degree of myopia, including 24 cases(48 eyes)in the low myopia group(-3.00 D
6.Elemene as a binding stabilizer of microRNA-145-5p suppresses the growth of non-small cell lung cancer.
Meirong ZHOU ; Jiayue WANG ; Yulin PENG ; Xiangge TIAN ; Wen ZHANG ; Junlin CHEN ; Yue WANG ; Yu WANG ; Youjian YANG ; Yongwei ZHANG ; Xiaokui HUO ; Yuzhuo WU ; Zhenlong YU ; Tian XIE ; Xiaochi MA
Journal of Pharmaceutical Analysis 2025;15(3):101118-101118
Elemene is widely recognized as an effective anti-cancer compound and is routinely administered in Chinese clinical settings for the management of several solid tumors, including non-small cell lung cancer (NSCLC). However, its detailed molecular mechanism has not been adequately demonstrated. In this research, it was demonstrated that elemene effectively curtailed NSCLC growth in the patient-derived xenograft (PDX) model. Mechanistically, employing high-throughput screening techniques and subsequent biochemical validations such as microscale thermophoresis (MST), microRNA-145-5p (miR-145-5p) was pinpointed as a critical target through which elemene exerts its anti-tumor effects. Interestingly, elemene serves as a binding stabilizer for miR-145-5p, demonstrating a strong binding affinity (dissociation constant (K D) = 0.39 ± 0.17 μg/mL) and preventing its degradation both in vitro and in vivo, while not interfering with the synthesis of the primary microRNA transcripts (pri-miRNAs) and precursor miRNAs (pre-miRNAs). The stabilization of miR-145-5p by elemene resulted in an increased level of this miRNA, subsequently suppressing NSCLC progression through the miR-145-5p/mitogen-activated protein kinase kinase kinase 3 (MAP3K3)/nuclear factor kappaB (NF-κB) pathway. Our findings provide a new perspective on revealing the interaction patterns between clinical anti-tumor drugs and miRNAs.
7.Construction of a Prognostic Model for Lysosome-dependent Cell Death in Gastric Cancer Based on Single-cell RNA-seq and Bulk RNA-seq Data.
Peng NI ; Kai Xin GUO ; Tian Yi LIANG ; Xin Shuang FAN ; Yan Qiao HUA ; Yang Ye GAO ; Shuai Yin CHEN ; Guang Cai DUAN ; Rong Guang ZHANG
Biomedical and Environmental Sciences 2025;38(4):416-432
OBJECTIVE:
To identify prognostic genes associated with lysosome-dependent cell death (LDCD) in patients with gastric cancer (GC).
METHODS:
Differentially expressed genes (DEGs) were identified using The Cancer Genome Atlas - Stomach Adenocarcinoma. Weighted gene co-expression network analysis was performed to identify the key module genes associated with LDCD score. Candidate genes were identified by DEGs and key module genes. Univariate Cox regression analysis, and least absolute shrinkage and selection operator regression and multivariate Cox regression analyses were performed for the selection of prognostic genes, and risk module was established. Subsequently, key cells were identified in the single-cell dataset (GSE183904), and prognostic gene expression was analyzed. Cell proliferation and migration were assessed using the Cell Counting Kit-8 assay and the wound healing assay.
RESULTS:
A total of 4,465 DEGs, 95 candidate genes, and 4 prognostic genes, including C19orf59, BATF2, TNFAIP2, and TNFSF18, were identified in the analysis. Receiver operating characteristic curves indicated the excellent predictive power of the risk model. Three key cell types (B cells, chief cells, and endothelial/pericyte cells) were identified in the GSE183904 dataset. C19orf59 and TNFAIP2 exhibited predominant expression in macrophage species, whereas TNFAIP2 evolved over time in endothelial/pericyte cells and chief cells. Functional experiments confirmed that interfering with C19orf59 inhibited proliferation and migration in GC cells.
CONCLUSION
C19orf59, BATF2, TNFAIP2, and TNFSF18 are prognostic genes associated with LDCD in GC. Furthermore, the risk model established in this study showed robust predictive power.
Stomach Neoplasms/pathology*
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Humans
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Prognosis
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Lysosomes/physiology*
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RNA-Seq
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Cell Death
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Single-Cell Analysis
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Gene Expression Regulation, Neoplastic
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Cell Proliferation
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Single-Cell Gene Expression Analysis
8.Efficacy and safety of a facilitated percutaneous coronary intervention with half-dose recombinant staphylokinase in ST-segment elevation myocardial infarction
Tian-yu WU ; Wen-hao ZHANG ; Peng-sheng CHEN ; Chen LI ; Tian WU ; Zhan LÜ ; Tong WANG ; Kun LIU ; Zhi-wen TAO ; Xiao-xuan GONG ; Liang YUAN ; Yong LI ; Bo CHEN ; Xin CHEN ; Zeng-guang CHEN ; Nai-quan YANG ; Yuan-yuan SANG ; Xiao-yan WANG ; Bai-hong LI ; Li ZHU ; Guo-yu WANG ; Xin ZHAO ; Chuan LU ; Jun JIANG ; Rui-na HAO ; Chun-jian LI
Chinese Journal of Interventional Cardiology 2025;33(8):431-438
Objective To investigate the clinical efficacy and safety of facilitated percutaneous coronary intervention(PCI)with half-dose recombinant staphylokinase(r-SAK)in patients with ST-segment elevation myocardial infarction(STEMI)who are expected to undergo PCI within 120 minutes.Methods From October 2021 to August 2022,a total of 200 STEMI patients in eight centers were included and randomly assigned in a 1﹕1 ratio to either r-SAK group or control group.Patients received loading doses of aspirin and ticagrelor and intravenous heparin and were randomized to receive an intravenous bolus of either 5 mg r-SAK or normal saline prior to PCI.The outcomes were set as ST-segment resolution(STR)at 60-90 minutes after PCI,the proportion and transition of pathological Q waves on the 5th day after PCI,and the proportion of high-sensitivity cardiac troponin T(hs-cTnT)peaking within 12 hours of onset.The safety outcome was major bleeding events defined as Bleeding Academic Research Consortium(BARC)≥type 3 bleeding during hospitalization.Results Compared with the control group,the r-SAK group had a higher proportion of STR≥70%within 60-90 minutes after PCI(58.3%vs.40.3%,P=0.009);a lower proportion of pathological Q waves(59.1%vs.74.1%,P=0.040);a lower rate of Q wave progression(14.8%vs.43.2%,P<0.001);a higher rate of Q wave disappearance(12.5%vs.3.7%,P=0.027);and a higher proportion of hs-cTnT peaking within 12 hours of symptom onset[31/40(77.5%)vs.17/33(51.5%),P=0.027].Regarding the safety outcome,no significant difference in BARC≥type 3 bleeding was found between the two groups during hospitalization(P>0.05).Conclusions For STEMI patients who were expected to undergo primary PCI within 120 minutes of symptom onset,the facilitated PCI with half-dose r-SAK significantly increased the proportion of STR≥70%at 60-90 minutes after PCI,reduced the formation of pathological Q waves,and shortened the time to peak hs-cTnT,without increasing the risk of bleeding,which should be an alternative reperfusion strategy worthy of further study.
9.The Xenomitochondrion Provides Extensive Supply for Mitochondrial Transplantation
Zhen YANG ; Wen-Peng LI ; Tian NIU ; Hui-Wen XUE ; Si-Xi ZHAO ; Xing-Bo ZHAO
Chinese Journal of Biochemistry and Molecular Biology 2025;41(2):273-283
Mitochondria are organelles in eukaryotic cells that play a crucial role in cellular energy me-tabolism,oxidative stress,heat production,and signal transduction.Mitochondrial transplantation(MT)is currently one of the most advanced techniques for treating mitochondrial dysfunction and anti-aging re-search.This study aimed to explore the feasibility and effectiveness of xenogeneic MT by transplanting mitochondria from yak(Bos grunniens),domestic cattle(Bos taurus),and horse(Equus caballus)into mice(Mus musculus).The results demonstrated that mitochondria from yak,domestic cattle,and horse could be successfully transplanted into mice and maintained in various tissues and organs of the mice for at least 14 days,as confirmed by confocal imaging,digital PCR,and DNA sequencing.MT mice exhibi-ted positive biological effects,including increased ATP content and mitochondrial DNA copy number(P<0.05),with the maximum effect observed on day 7,which was sustained until day 14.Reactive oxygen species(ROS)levels in MT mice significantly increased at 2 hours post-injection(P<0.05),then grad-ually decreased towards baseline levels by day 7 and day 14(P>0.05).These findings support the effec-tiveness of xenogeneic MT and suggest that the effects can be maintained for up to 14 days.This study provides scientific evidence for future clinical applications.
10.The predictive value of multi-sequence MRI radiomics in the therapeutic effect of concurrent chemoradiotherapy on locally advanced cervical squamous cell carcinoma
Youjun TIAN ; Zhengwu TAN ; Ke YANG ; Jianmin PENG ; Hongtao CHEN ; Zhiping HUANG
Tianjin Medical Journal 2025;53(2):213-218
Objective To observe the value of multi-sequence magnetic resonance imaging(MRI)radiomics in predicting the efficacy of concurrent chemoradiotherapy(CCRT)in locally advanced cervical squamous cell carcinoma(CSCC)patients.Methods Clinical data of 100 CSCC patients underwent CCRT treatment were selected.In order to better validate the performance of the model,patients were randomly divided into the training set(70 cases)and the validation set(30 cases)in a 7∶3 ratio.According to the efficacy criteria for solid tumors,patients were divided into the complete response(CR)group(n=16)and the partial response(PR)group(n=14).Examination images of cross-sectional DWI,T2WI and enhanced T1WI were collected from all patients before treatment.ITK-SNAP software package combined with three sequences were used to outline ROI,and the open source software PyRadiomics was used to extract image omics features.For MRI omics features,the minimum redundancy maximum correlation(mRMR)algorithm was used to analyze and screen out the first 30 main features,and then the minimum absolute contraction and selection method(Lasso)based on 10-fold cross-validation was used to reduce dimensionality to screen the non-zero coefficient features.According to the weighting coefficient of Lasso-Logistic regression model in the training set,patient omics labels were calculated.Logistic regression analysis was used to construct a prediction model based on DWI,T2WI and T1WI sequence prediction models and multiple sequenomics labels.Receiver operating characteristic(ROC)curves evaluated the predictive value of each omics model for CCRT treatment in patients with locally advanced CSCC.Results There were 38 cases in the CR group and 32 cases in the PR group in the training set.There were 16 cases in the CR group and 14 cases in the PR group in the validation set.There were no significant differences in patient age,FIGO stage,differentiation degree,maximum lesion diameter and menstrual status between the CR group and the PR group in the training and validation sets.A total of 851 imaging features were extracted from the ROI target area.After the first 30 features were retained by mRMR algorithm,3 CR-related features were selected from the 851 imaging omics features of each individual sequence by Lasso algorithm and 10-fold cross-validation.Eight CR related features were selected from 2 553 features after the combination of the three sequences.ROC curve results showed that in the training set and validation set,the AUC of multiple sequences combined to predict the therapeutic effect of CCRT in patients with locally advanced CSCC was 0.971 and 0.946,respectively,which was higher than that of T1WI,T2WI and DWI single sequence prediction(training set Z=2.683,2.046,2.817,P<0.05;verification set Z=2.075,2.117,2.005,P<0.05).Conclusion The multi sequence MRI radiomics model has high predictive value for the efficacy of CCRT treatment in locally advanced CSCC patients.

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