1.Causal Relationships Between Immune Cells and Risk of Gastric Cancer: A Mendelian Randomization Study
Jiawei HE ; Longnyu CAO ; Mengyuan TANG ; Hongquan CUI
Cancer Research on Prevention and Treatment 2025;52(2):172-176
Objective To analyze the causal relationship between immune cell phenotype and gastric cancer. Methods Bidirectional two-sample Mendelian randomization (MR) analysis was used to select 731 genetic variants involving immune cell phenotypes from the GWAS dataset as instrumental variables. Inverse-variance weighting method (IVW), weighted median method (WM), and MR-Egger regression were used for sensitivity analysis. Cochran Q test, MR-Egger regression, MR-PRESSO method, and remain-one method were also conducted. Results Changes in the absolute count of IgD+ B cells and CD14-CD16- cells were significantly associated with the risk of gastric cancer. A lower proportion of IgD+ B cells was associated with a lower risk of gastric cancer (OR=0.86, 95%CI: 0.79-0.94), while an increased number of CD4-CD8-T cells was associated with an increased risk of gastric cancer (OR=1.2, 95%CI: 1.1-1.3). Conclusion A causal relationship exists between immune cell phenotype and the risk of gastric cancer. Changes in specific immune markers may regulate the development of gastric cancer by affecting the tumor microenvironment.
2.Mechanism of 1,25(OH)2D3 improving liver inflammation in a rat model of nonalcoholic steatohepatitis induced by choline-deficient L-amino acid-defined diet
Haiyang ZHU ; Jingshu CUI ; Liu YANG ; Mengting ZHOU ; Jian TONG ; Hongmei HAN
Journal of Clinical Hepatology 2025;41(2):254-262
ObjectiveTo investigate the effect of 1,25(OH)2D3 on the level of peroxisome proliferator-activated receptor-γ (PPAR-γ) in the liver, the phenotype of hepatic macrophages, and liver inflammation in a rat model of nonalcoholic steatohepatitis (NASH), as well as the mechanism of 1,25(OH)2D3 improving liver inflammation. MethodsAfter 1 week of adaptive feeding, 24 specific pathogen-free Wistar rats were randomly divided into normal group [choline-supplemented L-amino acid-defined (CSAA) diet], normal+1,25(OH)2D3 group [CSAA diet+1,25(OH)2D3], model group [choline-deficient L-amino acid-defined diet (CDAA) diet], and model+1,25(OH)2D3 group [CDAA diet+1,25(OH)2D3], with 6 rats in each group. The dose of 1,25(OH)2D3 was 5 μg/kg for intraperitoneal injection twice a week for 12 weeks. The serum levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) were measured, liver histopathology was observed, and SAF score was assessed. M1 hepatic macrophages and M2 hepatic macrophages were measured to analyze in the change in the phenotype of hepatic macrophages, and ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-4 (IL-4), and interleukin-10 (IL-10) in liver tissue, and qPCR was used to measure the mRNA level of PPAR-γ. The two-factor analysis of variance was use for comparison between groups, and the least significant difference t-test was used for further comparison; the Pearson method was used for correlation analysis. ResultsCompared with the normal group, the model rats with CDAA diet-induced NASH had significant increases in the serum levels of AST and ALT (P=0.019 and P<0.001), the SAF score of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), and the ratio of M1 and M2 hepatic macrophages (P<0.001), as well as a significant increase in the level of TNF-α (P<0.001) and a significant reduction in the level of IL-4 in liver tissue (P=0.025). The 1,25(OH)2D3 group had significant reductions in the serum levels of ALT (P<0.001), the SAF score of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), and the ratio of M1 and M2 hepatic macrophages (P=0.001), the level of IL-1β (P<0.001) and a significant increase in the level of M2 hepatic macrophages (P=0.017), the level of IL-10 (P=0.039), the level of IL-4 (P<0.001), the level of PPAR-γ (P=0.016). There were significant interactions between CDAA diet-induced NASH model and 1,25(OH)2D3 in serum the levels of AST and ALT (P=0.007 and P=0.008), the SAF scores of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), the level of M2 hepatic macrophages (P=0.008), the ratio of M1 and M2 of hepatic macrophages (P=0.005), the level of TNF-α (P<0.001), the level of IL-10 (P=0.038), the level of IL-4 (P<0.001) and the level of PPAR-γ (P=0.009). The correlation analysis showed that PPAR-γ was negatively correlated with the ratio of M1 and M2 hepatic macrophages (r=-0.415, P=0.044) and was positively correlated with M2 hepatic macrophages (r=0.435, P=0.033), IL-10 (r=0.433, P=0.035), and IL-4 (r=0.532, P=0.007). ConclusionThis study shows that 1,25(OH)2D3 improves liver inflammation in NASH by activating PPAR-γ to regulate the phenotypic transformation of hepatic macrophages.
3.Mid-long term follow-up reports on head and neck rhabdomyosarcoma in children
Chao DUAN ; Sidou HE ; Shengcai WANG ; Mei JIN ; Wen ZHAO ; Xisi WANG ; Zhikai LIU ; Tong YU ; Lejian HE ; Xiaoman WANG ; Chunying CUI ; Xin NI ; Yan SU
Chinese Journal of Pediatrics 2025;63(1):62-69
Objective:To analyze the clinical characteristics of children with head and neck rhabdomyosarcoma (RMS) and to summarize the mid-long term efficacy of Beijing Children′s Hospital Rhabdomyosarcoma 2006 (BCH-RMS-2006) regimen and China Children′s Cancer Group Rhabdomyosarcoma 2016 (CCCG-RMS-2016) regimen.Methods:A retrospective cohort study. Clinical data of 137 children with newly diagnosed head and neck RMS at Beijing Children′s Hospital, Capital Medical University from March 2013 to December 2021 were collected. Clinical characteristic of patients at disease onset and the therapeutic effects of patients treated with the BCH-RMS-2006 and CCCG-RMS-2016 regimens were compared. The treatments and outcomes of patients with recurrence were also summarized. Survival analysis was performed by Kaplan-Meier method, and Log-Rank test was used for comparison of survival rates between groups.Results:Among 137 patients, there were 80 males (58.4%) and 57 females (41.6%), the age of disease onset was 59 (34, 97) months. The primary site in the orbital, non-orbital non-parameningeal, and parameningeal area were 10 (7.3%), 47 (34.3%), and 80 (58.4%), respectively. Of all patients, 32 cases (23.4%) were treated with the BCH-RMS-2006 regimen and 105 (76.6%) cases were treated with the CCCG-RMS-2016 regimen. The follow-up time for the whole patients was 46 (20, 72) months, and the 5-year progression free survival (PFS) and overall survival (OS) rates for the whole children were (60.4±4.4)% and (69.3±4.0)%, respectively. The 5-year OS rate was higher in the CCCG-RMS-2016 group than in BCH-RMS-2006 group ((73.0±4.5)% vs. (56.6±4.4)%, χ2=4.57, P=0.029). For the parameningeal group, the 5-year OS rate was higher in the CCCG-RMS-2016 group (61 cases) than in BCH-RMS-2006 group (19 cases) ((57.3±7.6)% vs. (32.7±11.8)%, χ2=4.64, P=0.031). For the group with meningeal invasion risk factors, the 5-year OS rate was higher in the CCCG-RMS-2016 group (54 cases) than in BCH-RMS-2006 group (15 cases) ((57.7±7.7)% vs. (30.0±12.3)%, χ2=4.76, P=0.029). Among the 10 cases of orbital RMS, there was no recurrence. In the non-orbital non-parameningeal RMS group (47 cases), there were 13 (27.6%) recurrences, after re-treatment, 7 cases survived. In the parameningeal RMS group (80 cases), there were 40 (50.0%) recurrences, with only 7 cases surviving after re-treatment. Conclusions:The overall prognosis for patients with orbital and non-orbital non-parameningeal RMS is good. However, children with parameningeal RMS have a high recurrence rate, and the effectiveness of re-treatment after recurrence is poor. Compared with the BCH-RMS-2006 regimen, the CCCG-RMS-2016 regimen can improve the treatment efficacy of RMS in the meningeal region.
4.Role of cellular autophagy in cerebral ischemic injury and the regulatory mechanism of traditional Chinese medicine
Panpan ZHOU ; Yinglin CUI ; Wentao ZHANG ; Shurui WANG ; Jiahui CHEN ; Tong YANG
Chinese Journal of Tissue Engineering Research 2025;29(8):1650-1658
BACKGROUND:Studies have shown that ischemia-induced cellular autophagy dysfunction is a key factor in brain injury.Autophagy related genes 6(ATG6),microtubule-associated protein 1 light chain(LC3),p62,and other autophagy key proteins are involved in the processes such as neuronal axonal degeneration,death,and intracellular homeostasis maintenance,playing an important role in the recovery of neural function. OBJECTIVE:To review the research progress in the role of cellular autophagy in cerebral ischemic injury and the regulatory mechanism of traditional Chinese medicine. METHODS:The first author used"ischemic stroke,brain tissue injury,cellular autophagy,signaling pathways,traditional Chinese medicine compounds,terpenoids,alkaloids,flavonoids,saponins,lignans,phthalates"as Chinese and English keywords respectively to search for literature on autophagy,cerebral ischemic injury,and the regulatory mechanisms of traditional Chinese medicine from China National Knowledge Infrastructure(CNKI)and PubMed databases from January 2016 to February 2024.Literature that is not highly relevant,repetitive,or outdated was excluded.A total of 1 746 relevant literature were retrieved,and 92 articles were ultimately included. RESULTS AND CONCLUSION:Numerous studies have confirmed that autophagy plays an important role in cerebral ischemic injury.Moderate autophagy can promote cell survival,while excessive autophagy exacerbates brain injury.Traditional Chinese medicine can regulate the expression of autophagy related proteins,inhibit neuronal necrosis and apoptosis,and exert neuroprotective effects at different stages of cerebral ischemia by regulating signaling pathways such as PI3K/Akt/mTOR,AMPK-mTOR,and mitogen activated protein kinase.
5.The Mechanism of Exercise Regulating Intestinal Flora in The Prevention and Treatment of Depression
Lei-Zi MIN ; Jing-Tong WANG ; Qing-Yuan WANG ; Yi-Cong CUI ; Rui WANG ; Xin-Dong MA
Progress in Biochemistry and Biophysics 2025;52(6):1418-1434
Depression, a prevalent mental disorder with significant socioeconomic burdens, underscores the urgent need for safe and effective non-pharmacological interventions. Recent advances in microbiome research have revealed the pivotal role of gut microbiota dysbiosis in the pathogenesis of depression. Concurrently, exercise, as a cost-effective and accessible intervention, has demonstrated remarkable efficacy in alleviating depressive symptoms. This comprehensive review synthesizes current evidence on the interplay among exercise, gut microbiota modulation, and depression, elucidating the mechanistic pathways through which exercise ameliorates depressive symptoms via the microbiota-gut-brain (MGB) axis. Depression is characterized by gut microbiota alterations, including reduced alpha and beta diversity, depletion of beneficial taxa (e.g., Bifidobacterium, Lactobacillus, and Coprococcus), and overgrowth of pro-inflammatory and pathogenic bacteria (e.g., Morganella, Klebsiella, and Enterobacteriaceae). Metagenomic analyses reveal disrupted metabolic functions in depressive patients, such as diminished synthesis of short-chain fatty acids (SCFAs), impaired tryptophan metabolism, and dysregulated bile acid conversion. For instance, Bifidobacterium longum deficiency correlates with reduced synthesis of neuroactive metabolites like homovanillic acid, while decreased Coprococcus abundance limits butyrate production, exacerbating neuroinflammation. Furthermore, elevated levels of indole derivatives from Clostridium species inhibit serotonin (5-HT) synthesis, contributing to depressive phenotypes. These dysbiotic profiles disrupt the MGB axis, triggering systemic inflammation, neurotransmitter imbalances, and hypothalamic-pituitary-adrenal (HPA) axis hyperactivity. Exercise exerts profound effects on gut microbiota composition, diversity, and metabolic activity. Longitudinal studies demonstrate that sustained aerobic exercise increases alpha diversity, enriches SCFA-producing genera (e.g., Faecalibacterium prausnitzii, Roseburia, and Akkermansia), and suppresses pathobionts (e.g., Desulfovibrio and Streptococcus). For example, a meta-analysis of 25 trials involving 1 044 participants confirmed that exercise enhances microbial richness and restores the Firmicutes/Bacteroidetes ratio, a biomarker of metabolic health. Notably, endurance training promotes Veillonella proliferation, which converts lactate into propionate, enhancing energy metabolism and delaying fatigue. Exercise also strengthens intestinal barrier integrity by upregulating tight junction proteins (e.g., ZO-1, occludin), thereby reducing lipopolysaccharide (LPS) translocation and systemic inflammation. However, excessive exercise may paradoxically diminish microbial diversity and exacerbate intestinal permeability, highlighting the importance of moderate intensity and duration. Exercise ameliorates depressive symptoms through multifaceted interactions with the gut microbiota, primarily via 4 interconnected pathways. First, exercise mitigates neuroinflammation by elevating anti-inflammatory SCFAs such as butyrate, which suppresses NF-κB signaling to attenuate microglial activation and oxidative stress in the hippocampus. Animal studies demonstrate that voluntary wheel running reduces hippocampal TNF‑α and IL-17 levels in stress-induced depression models, while fecal microbiota transplantation (FMT) from exercised mice reverses depressive behaviors by modulating the TLR4/NF‑κB pathway. Second, exercise regulates neurotransmitter dynamics by enriching GABA-producing Lactobacillus and Bifidobacterium, thereby counteracting neuronal hyperexcitability. Aerobic exercise also enhances the abundance of Lactobacillus plantarum and Streptococcus thermophilus, which facilitate 5-HT and dopamine synthesis. Clinical trials reveal that 12 weeks of moderate exercise increases fecal Coprococcus and Blautia abundance, correlating with improved 5-HT bioavailability and reduced depression scores. Third, exercise normalizes HPA axis hyperactivity by reducing cortisol levels and restoring glucocorticoid receptor sensitivity. In rodent models, chronic stress-induced corticosterone elevation is reversed by probiotic supplementation (e.g., Lactobacillus), which enhances endocannabinoid signaling and hippocampal neurogenesis. Furthermore, exercise upregulates brain-derived neurotrophic factor (BDNF) via microbial metabolites like butyrate, promoting histone acetylation and synaptic plasticity. FMT experiments confirm that exercise-induced microbiota elevates prefrontal BDNF expression, reversing stress-induced neuronal atrophy. Fourth, exercise reshapes microbial metabolic crosstalk, diverting tryptophan metabolism toward 5-HT synthesis instead of neurotoxic kynurenine derivatives. Butyrate inhibits indoleamine 2,3-dioxygenase (IDO), a key enzyme in the kynurenine pathway linked to depression. Concurrently, exercise-induced Akkermansia enrichment enhances mucin production, fortifies the gut barrier, and reduces LPS-driven neuroinflammation. Collectively, these mechanisms underscore exercise as a potent modulator of the microbiota-gut-brain axis, offering a holistic approach to alleviating depression through microbial and neurophysiological synergy. Current evidence supports exercise as a potent adjunct therapy for depression, with personalized regimens (e.g., aerobic, resistance, or yoga) tailored to individual microbiota profiles. However, challenges remain in optimizing exercise prescriptions (intensity, duration, and type) and integrating them with probiotics, prebiotics, or FMT for synergistic effects. Future research should prioritize large-scale randomized controlled trials to validate causality, multi-omics approaches to decipher MGB axis dynamics, and mechanistic studies exploring microbial metabolites as therapeutic targets. The authors advocate for a paradigm shift toward microbiota-centric interventions, emphasizing the bidirectional relationship between physical activity and gut ecosystem resilience in mental health management. In conclusion, this review underscores exercise as a multifaceted modulator of the gut-brain axis, offering novel insights into non-pharmacological strategies for depression. By bridging microbial ecology, neuroimmunology, and exercise physiology, this work lays a foundation for precision medicine approaches targeting the gut microbiota to alleviate depressive disorders.
6.Clinical value of peripheral immune function status in the assessment of ‘Deficiency of Vital Qi’ in lung cancer metastasis
XU Fan1,2 ; TIAN Jianhui1,2 ; LIU Youjun1,2 ; CHENG Zhenyang1,2 ; QUE Zujun2 ; LUO Bin1 ; YANG Yun1 ; YAO Jialiang1 ; YAO Wang1 ; LU Xinyi1,2 ; LIU Yao1,2 ; ZHOU Yiyang1 ; WU Jianchun1 ; LUO Yingbin1 ; LI Minghua1 ; SHI Wenfei1 ; CUI Yajing1 ; SHANGGUAN Wenji3 ; LI Yan1
Chinese Journal of Cancer Biotherapy 2025;32(10):1065-1070
[摘 要] 目的:探索外周免疫功能状态与肺癌转移的关联,筛选可用于肺癌转移“正虚”评估的外周血免疫标志物。方法:回顾性分析2023年3月至2025年4月期间上海中医药大学附属市中医医院收治的肺癌患者治疗前的外周血免疫标志物,根据是否存在远处转移,将患者分为无转移组与转移组,比较两组间免疫细胞和细胞因子的表达差异。将单因素分析P < 0.05的外周血免疫指标纳入多因素二元Logistic回归模型,以识别肺癌转移的独立预测因素。结果:共纳入193例肺癌患者(无转移组101例,转移组92例),两组在性别、年龄、吸烟史、饮酒史、病理类型间的差异均无统计学意义(均P > 0.05)。单因素分析显示,无转移组与转移组间有多项免疫指标存在显著差异(均P < 0.05),包括:淋巴细胞计数,CD3+、CD4+、CD8+ T、CD19+ B细胞及CD3-CD16+56+ NK细胞绝对计数,Treg细胞、CD8+CD28+ Treg细胞、G-MDSC和CD3-CD16+CD56+dim NK细胞百分率,以及细胞因子IL-1β、IL-6和IL-10水平。将差异性指标行二元Logistic回归分析,提示外周血中Treg细胞和CD8+CD28+ Treg细胞百分率是肺癌发生远处转移的独立预测因素[OR = 1.193, 95% CI(1.047, 1.36), P < 0.01; OR = 0.978, 95% CI(0.957, 0.999), P < 0.05]。结论:外周血免疫功能紊乱是肺癌转移“正虚”的生物学基础,本研究以量化指标证实外周免疫功能状态与肺癌转移的相关性,为“正虚伏毒”和“肿瘤转移态”理论提供了实证。
7.Chest computed tomography-based artificial intelligence-aided latent class analysis for diagnosis of severe pneumonia.
Caiting CHU ; Yiran GUO ; Zhenghai LU ; Ting GUI ; Shuhui ZHAO ; Xuee CUI ; Siwei LU ; Meijiao JIANG ; Wenhua LI ; Chengjin GAO
Chinese Medical Journal 2025;138(18):2316-2323
BACKGROUND:
There is little literature describing the artificial intelligence (AI)-aided diagnosis of severe pneumonia (SP) subphenotypes and the association of the subphenotypes with the ventilatory treatment efficacy. The aim of our study is to illustrate whether clinical and biological heterogeneity, such as ventilation and gas-exchange, exists among patients with SP using chest computed tomography (CT)-based AI-aided latent class analysis (LCA).
METHODS:
This retrospective study included 413 patients hospitalized at Xinhua Hospital diagnosed with SP from June 1, 2015 to May 30, 2020. AI quantification results of chest CT and their combination with additional clinical variables were used to develop LCA models in an SP population. The optimal subphenotypes were determined though evaluating statistical indicators of all the LCA models, and clinical implications of them such as guiding ventilation strategies were further explored by statistical methods.
RESULTS:
The two-class LCA model based on AI quantification results of chest CT can describe the biological characteristics of the SP population well and hence yielded the two clinical subphenotypes. Patients with subphenotype-1 had milder infections ( P <0.001) than patients with subphenotype-2 and had lower 30-day ( P <0.001) and 90-day ( P <0.001) mortality, and lower in-hospital ( P = 0.001) and 2-year ( P <0.001) mortality. Patients with subphenotype-1 showed a better match between the percentage of non-infected lung volume (used to quantify ventilation) and oxygen saturation (used to reflect gas exchange), compared with patients with subphenotype-2. There were significant differences in the matching degree of lung ventilation and gas exchange between the two subphenotypes ( P <0.001). Compared with patients with subphenotype-2, those with subphenotype-1 showed a relatively better match between CT-based AI metrics of the non-infected region and oxygenation, and their clinical outcomes were effectively improved after receiving invasive ventilation treatment.
CONCLUSIONS
A two-class LCA model based on AI quantification results of chest CT in the SP population particularly revealed clinical heterogeneity of lung function. Identifying the degree of match between ventilation and gas-exchange may help guide decisions about assisted ventilation.
Humans
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Tomography, X-Ray Computed/methods*
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Male
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Female
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Retrospective Studies
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Middle Aged
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Artificial Intelligence
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Aged
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Pneumonia/diagnosis*
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Latent Class Analysis
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Adult
8.ResNet-Vision Transformer based MRI-endoscopy fusion model for predicting treatment response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: A multicenter study.
Junhao ZHANG ; Ruiqing LIU ; Di HAO ; Guangye TIAN ; Shiwei ZHANG ; Sen ZHANG ; Yitong ZANG ; Kai PANG ; Xuhua HU ; Keyu REN ; Mingjuan CUI ; Shuhao LIU ; Jinhui WU ; Quan WANG ; Bo FENG ; Weidong TONG ; Yingchi YANG ; Guiying WANG ; Yun LU
Chinese Medical Journal 2025;138(21):2793-2803
BACKGROUND:
Neoadjuvant chemoradiotherapy followed by radical surgery has been a common practice for patients with locally advanced rectal cancer, but the response rate varies among patients. This study aimed to develop a ResNet-Vision Transformer based magnetic resonance imaging (MRI)-endoscopy fusion model to precisely predict treatment response and provide personalized treatment.
METHODS:
In this multicenter study, 366 eligible patients who had undergone neoadjuvant chemoradiotherapy followed by radical surgery at eight Chinese tertiary hospitals between January 2017 and June 2024 were recruited, with 2928 pretreatment colonic endoscopic images and 366 pelvic MRI images. An MRI-endoscopy fusion model was constructed based on the ResNet backbone and Transformer network using pretreatment MRI and endoscopic images. Treatment response was defined as good response or non-good response based on the tumor regression grade. The Delong test and the Hanley-McNeil test were utilized to compare prediction performance among different models and different subgroups, respectively. The predictive performance of the MRI-endoscopy fusion model was comprehensively validated in the test sets and was further compared to that of the single-modal MRI model and single-modal endoscopy model.
RESULTS:
The MRI-endoscopy fusion model demonstrated favorable prediction performance. In the internal validation set, the area under the curve (AUC) and accuracy were 0.852 (95% confidence interval [CI]: 0.744-0.940) and 0.737 (95% CI: 0.712-0.844), respectively. Moreover, the AUC and accuracy reached 0.769 (95% CI: 0.678-0.861) and 0.729 (95% CI: 0.628-0.821), respectively, in the external test set. In addition, the MRI-endoscopy fusion model outperformed the single-modal MRI model (AUC: 0.692 [95% CI: 0.609-0.783], accuracy: 0.659 [95% CI: 0.565-0.775]) and the single-modal endoscopy model (AUC: 0.720 [95% CI: 0.617-0.823], accuracy: 0.713 [95% CI: 0.612-0.809]) in the external test set.
CONCLUSION
The MRI-endoscopy fusion model based on ResNet-Vision Transformer achieved favorable performance in predicting treatment response to neoadjuvant chemoradiotherapy and holds tremendous potential for enabling personalized treatment regimens for locally advanced rectal cancer patients.
Humans
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Rectal Neoplasms/diagnostic imaging*
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Magnetic Resonance Imaging/methods*
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Male
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Female
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Middle Aged
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Neoadjuvant Therapy/methods*
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Aged
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Adult
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Chemoradiotherapy/methods*
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Endoscopy/methods*
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Treatment Outcome
9.Targeted therapies and immunotherapies for unresectable cholangiocarcinoma.
Shengbai XUE ; Weihua JIANG ; Jingyu MA ; Haiyan XU ; Yanling WANG ; Wenxin LU ; Daiyuan SHENTU ; Jiujie CUI ; Maolan LI ; Liwei WANG
Chinese Medical Journal 2025;138(16):1904-1926
Cholangiocarcinoma (CCA) is a fatal malignancy with steadily increasing incidence and poor prognosis. Since most CCA cases are diagnosed at an advanced stage, systemic therapies, including chemotherapy, radiotherapy, targeted therapy, and immunotherapy, play a crucial role in the management of unresectable CCA. The recent advances in targeted therapies and immunotherapies brought more options in the clinical management of unresectable CCA. This review depicts the advances of targeted therapies and immunotherapies for unresectable CCA, summarizes crucial clinical trials, and describes the efficacy and safety of different drugs, which may help further develop precision and individualization in the clinical treatment of unresectable CCA.
Humans
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Cholangiocarcinoma/drug therapy*
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Immunotherapy/methods*
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Bile Duct Neoplasms/drug therapy*
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Molecular Targeted Therapy/methods*
10.Research progress on the role and mechanism of ferroptosis in heart diseases.
Yu-Tong CUI ; Xin-Xin ZHU ; Qi ZHANG ; Ai-Juan QU
Acta Physiologica Sinica 2025;77(1):75-84
Cardiovascular disease remains the leading cause of death in China, with its morbidity and mortality continue to rise. Ferroptosis, a unique form of iron-dependent cell death, plays a major role in many heart diseases. The classical mechanisms of ferroptosis include iron metabolism disorder, oxidative antioxidant imbalance and lipid peroxidation. Recent studies have found many additional mechanisms of ferroptosis, such as coenzyme Q10, ferritinophagy, lipid autophagy, mitochondrial metabolism disorder, and the regulation by nuclear factor erythroid 2-related factor 2 (NRF2). This article reviews recent advances in understanding the mechanisms of ferroptosis and its role in heart failure, myocardial ischemia/reperfusion injury, diabetic cardiomyopathy, myocardial toxicity of doxorubicin, septic cardiomyopathy, and arrhythmia. Furthermore, we discuss the potential of ferroptosis inhibitors/inducers as therapeutic targets for heart diseases, suggesting that ferroptosis may be an important intervention target of heart diseases.
Ferroptosis/physiology*
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Humans
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Heart Diseases/physiopathology*
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NF-E2-Related Factor 2/physiology*
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Animals
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Myocardial Reperfusion Injury/physiopathology*
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Lipid Peroxidation
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Heart Failure/physiopathology*
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Iron/metabolism*
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Diabetic Cardiomyopathies/physiopathology*
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Ubiquinone/analogs & derivatives*

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