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The effect of low-intensity resistance exercise training on Serum tumor biomarkers and quality of life in women with breast cancer: A randomized controlled trial. 低强度抗阻运动训练对乳腺癌患者血清肿瘤生物标志物和生活质量的影响:一项随机对照试验
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-04 DOI: 10.1177/18758592251329201
Deniz Kocamaz, Nahide Ayhan Fidancioğlu, Ramazan Cihad Yilmaz, Kübranur Ünal, Tülin Düger, Hüseyin Yüce Bircan, Yavuz Yakut

BackgroundAs the role of physical activity in breast cancer management gains increasing recognition, understanding the effects of aerobic exercise on patients' quality of life and biological markers has emerged as a critical area of research to inform clinical practices and improve patient outcomes.ObjectiveThis study aims to investigate the impact of low-intensity resistance exercise training on serum tumor biomarkers and quality of life in women with breast cancer, providing evidence for its potential role as an adjunct therapy in improving clinical outcomes and patient well-being.MethodsThis study was carried out on 70 women between the ages of 18 and 65, who were included in the study while receiving chemotherapy treatment. The subject was divided into low-intensity resistance exercise (Group I) and control (Group II). Demographic characteristics, quality of life, and serum tumor biomarkers were evaluated. Participants in group I underwent a 12-week exercise programme of low-intensity resistance exercises three times a week (three metabolic equivalents, approximately 30 min/session).ResultsThe quality of life has been found to be significantly higher in the low-intensity resistance exercise group (p < 0.05). The serum tumor biomarker levels of CEA, CA15-3, and CA19-9 decreased across all participants. However, the reduction in serum tumor biomarker levels was found to be more pronounced in Group 1 (p < 0.05).ConclusionsLow-intensity resistance exercise has demonstrated a positive effect on the quality of life in women with breast cancer. Within the framework of oncological rehabilitation, aerobic exercise regimens may be preferred due to their role in promoting improvements in serum tumor biomarker levels and contributing to enhanced quality of life.

随着体育锻炼在乳腺癌治疗中的作用日益得到认可,了解有氧运动对患者生活质量和生物标志物的影响已成为指导临床实践和改善患者预后的关键研究领域。目的探讨低强度抗阻运动训练对乳腺癌患者血清肿瘤生物标志物和生活质量的影响,为其作为辅助治疗改善临床结果和患者福祉的潜在作用提供证据。方法本研究对70名年龄在18岁至65岁之间接受化疗的女性进行了研究。受试者被分为低强度阻力运动组(I组)和对照组(II组)。评估人口统计学特征、生活质量和血清肿瘤生物标志物。第一组的参与者进行了为期12周的低强度阻力运动计划,每周三次(三个代谢当量,每次约30分钟)。结果低强度抗阻运动组患者的生活质量明显提高(p
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引用次数: 0
Brain tumor segmentation and detection in MRI using convolutional neural networks and VGG16. 基于卷积神经网络和VGG16的MRI脑肿瘤分割与检测。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-04 DOI: 10.1177/18758592241311184
Shunmugavel Ganesh, Ramalingam Gomathi, Suriyan Kannadhasan
<p><p>BackgroundIn this research, we explore the application of Convolutional Neural Networks (CNNs) for the development of an automated cancer detection system, particularly for MRI images. By leveraging deep learning and image processing techniques, we aim to build a system that can accurately detect and classify tumors in medical images. The system's performance depends on several stages, including image enhancement, segmentation, data augmentation, feature extraction, and classification. Through these stages, CNNs can be effectively trained to detect tumors in MRI images with high accuracy. This automated cancer detection system can assist healthcare professionals in diagnosing cancer more quickly and accurately, improving patient outcomes. The integration of deep learning and image processing in medical diagnostics has the potential to revolutionize healthcare, making it more efficient and accessible.MethodsIn this paper, we examine the failure of semantic segmentation by predicting the mean intersection over union (mIoU), which is a standard evaluation metric for segmentation tasks. mIoU calculates the overlap between the predicted segmentation map and the ground truth segmentation map, offering a way to evaluate the model's performance. A low mIoU indicates poor segmentation, suggesting that the model has failed to accurately classify parts of the image. To further improve the robustness of the system, we introduce a deep neural network capable of predicting the mIoU of a segmentation map. The key innovation here is the ability to predict the mIoU without needing access to ground truth data during testing. This allows the system to estimate how well the model is performing on a given image and detect potential failure cases early in the process. The proposed method not only predicts the mIoU but also uses the expected mIoU value to detect failure events. For instance, if the predicted mIoU falls below a certain threshold, the system can flag this as a potential failure, prompting further investigation or triggering a safety mechanism in the autonomous vehicle. This mechanism can prevent the vehicle from making decisions based on faulty segmentation, improving safety and performance. Furthermore, the system is designed to handle imbalanced data, which is a common challenge in training deep learning models. In autonomous driving, certain objects, such as pedestrians or cyclists, might appear much less frequently than other objects like vehicles or roads. The imbalance can cause the model to be biased toward the more frequent objects. By leveraging the expected mIoU, the method can effectively balance the influence of different object classes, ensuring that the model does not overlook critical elements in the scene. This approach offers a novel way of not only training the model to be more accurate but also incorporating failure prediction as an additional layer of safety. It is a significant step forward in ensuring that autonomous systems,
在这项研究中,我们探索了卷积神经网络(cnn)在自动化癌症检测系统开发中的应用,特别是MRI图像。通过利用深度学习和图像处理技术,我们的目标是建立一个能够准确检测和分类医学图像中的肿瘤的系统。该系统的性能取决于几个阶段,包括图像增强、分割、数据增强、特征提取和分类。通过这些阶段,cnn可以得到有效的训练,以较高的准确率检测MRI图像中的肿瘤。这种自动化的癌症检测系统可以帮助医疗保健专业人员更快、更准确地诊断癌症,改善患者的治疗效果。深度学习和图像处理在医疗诊断中的集成有可能彻底改变医疗保健,使其更高效、更容易获得。方法在本文中,我们通过预测语义分割任务的标准评价指标mIoU来检测语义分割的失败。mIoU计算预测分割图与地面真实分割图之间的重叠,为评估模型的性能提供了一种方法。mIoU较低表明分割效果较差,表明该模型未能准确地对图像的部分进行分类。为了进一步提高系统的鲁棒性,我们引入了一个能够预测分割图mIoU的深度神经网络。这里的关键创新是在测试期间无需访问地面真实数据即可预测mIoU的能力。这使得系统能够估计模型在给定图像上的表现,并在过程的早期检测到潜在的故障情况。该方法不仅可以预测mIoU,还可以使用预期的mIoU值来检测故障事件。例如,如果预测的mIoU低于某个阈值,系统可以将其标记为潜在故障,提示进一步调查或触发自动驾驶车辆的安全机制。这种机制可以防止车辆基于错误的分割做出决策,从而提高安全性和性能。此外,该系统旨在处理不平衡数据,这是训练深度学习模型的常见挑战。在自动驾驶中,某些物体,如行人或骑自行车的人,可能比其他物体(如车辆或道路)出现的频率要低得多。这种不平衡会导致模型偏向更频繁的对象。通过利用预期的mIoU,该方法可以有效地平衡不同对象类的影响,确保模型不会忽略场景中的关键元素。这种方法提供了一种新颖的方法,不仅训练模型更准确,而且将故障预测作为额外的安全层。这是确保自动驾驶系统,特别是自动驾驶汽车以安全可靠的方式运行,最大限度地减少因视觉数据误解而导致的事故风险的重要一步。总之,本研究引入了一种深度学习模型,该模型通过使用mIoU度量来预测分割性能并检测故障事件。通过提高语义分割的准确性和故障检测,我们有助于开发更可靠的自动驾驶系统。此外,该技术可以扩展到其他分割发挥关键作用的领域,如医学成像或机器人,增强它们在复杂环境中安全有效地工作的能力。结果与讨论从MRI图像中检测脑肿瘤是医学图像分析中的一项关键任务,可以显著影响患者的预后。通过利用传统图像处理技术与现代深度学习方法相结合的混合方法,该研究旨在创建一个能够高精度和高效率地分割和识别脑肿瘤的自动化系统。深度学习技术,特别是cnn,已被证明在医学图像分析中非常有效,因为它们能够从原始图像数据中学习复杂的特征。与传统的人工方法相比,使用深度学习进行自动脑肿瘤分割有几个好处,包括更快的处理时间、更高的准确性和更一致的结果。因此,这项研究不仅有助于开发先进的脑肿瘤检测方法,而且还展示了深度学习在彻底改变医学图像分析和协助医疗保健专业人员更有效地诊断和治疗脑肿瘤方面的潜力。总之,本研究证明了深度学习技术,特别是cnn在从MRI图像中自动检测脑肿瘤过程中的潜力。 通过将传统的图像处理方法与深度学习相结合,我们开发了一种自动化系统,可以快速准确地从MRI扫描中分割肿瘤。该系统有可能帮助医疗保健专业人员更有效地诊断和治疗脑肿瘤,最终改善患者的预后。随着深度学习的不断发展,我们期望这些系统变得更加准确、强大,并广泛应用于临床环境。将深度学习用于脑肿瘤检测是医学图像分析的重要一步,将其集成到临床工作流程中可以大大提高诊断的速度和准确性,最终挽救生命。建议的计划还包括一个基于卷积神经网络的分类技术,以提高准确性和节省计算时间。此外,分类结果表现为描绘健康大脑或癌变大脑的图像。CNN是深度学习的一种形式,它采用了许多前馈层。此外,它使用Python运行。Image Net数据库对图像进行分组。该数据库已经过培训和编制。因此,我们已经完成了最后的训练层。除了深度、宽度和高度特征信息外,CNN还提取原始像素值。然后,我们使用基于梯度的损失函数来实现高精度。我们可以分别确定训练精度、验证精度和验证损失。98.5%的训练准确率。同样,验证精度和验证损失都很高。
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引用次数: 0
Prognosis of keratinizing squamous cell carcinoma of the female reproductive system: A retrospective study. 女性生殖系统角化性鳞状细胞癌预后的回顾性研究。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-16 DOI: 10.1177/18758592251317396
Ruiqing Chen, Hai Yu, Xinkai Zheng, Qiqi Zhao, Liehua Deng

Objective: The aim of this study was to compare the competing risk model with the Cox model to evaluate prognostic markers in females with keratinized squamous cell carcinoma of the reproductive system and to develop predictive models. Methods: Patients with keratinizing squamous cell carcinoma of the female reproductive system were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Using the cumulative incidence function (CIF) and Gray's test for univariate analysis, the competing risk and Cox models were used for multivariate analysis. A nomogram was developed based on the results of the competing risk model, and the C-index, net reclassification index (NRI), and integrated discrimination improvement (IDI) were used to evaluate the model's discrimination ability. The clinical validity of the model was assessed using calibration plots and decision curve analysis (DCA). Results: In this investigation, competing risk model analysis revealed that age, marital status, tumor size, AJCC stage, surgery, radiotherapy, chemotherapy, postoperative lymph node dissection, surgery and radiotherapy, and income were significant factors affecting the prognosis of patients with keratinizing squamous cell carcinoma of the female reproductive system. Based on these results, a nomogram for predicting the 3-year, 5-year, and 8-year survival rates was established. The nomogram demonstrated better clinical utility than the AJCC staging system. Conclusion: For the first time, the competing risk model was used in this study to assess the prognostic risk factors of keratinizing squamous cell carcinoma of the female reproductive system. The results may help clinicians make better clinical judgments. Additionally, we developed a nomogram to predict the likelihood of cancer-specific death (CSD) in patients at 3, 5, and 8 years. Physicians may use our nomogram to more accurately forecast the likelihood of CSD compared to the AJCC staging system.

目的:本研究的目的是比较竞争风险模型和Cox模型,以评估女性生殖系统角化鳞状细胞癌的预后标志物,并建立预测模型。方法:从监测、流行病学和最终结果(SEER)数据库中确定女性生殖系统角化性鳞状细胞癌患者。单因素分析采用累积关联函数(CIF)和Gray检验,多因素分析采用竞争风险模型和Cox模型。基于竞争风险模型的结果,建立了一种nomogram,并使用c指数、净重分类指数(NRI)和综合判别改进(IDI)来评价模型的判别能力。采用标定图和决策曲线分析(DCA)评估模型的临床有效性。结果:本研究竞争风险模型分析显示,年龄、婚姻状况、肿瘤大小、AJCC分期、手术、放疗、化疗、术后淋巴结清扫、手术及放疗、收入是影响女性生殖系统角化性鳞状细胞癌患者预后的显著因素。基于这些结果,建立了预测3年、5年和8年生存率的nomogram。与AJCC分期系统相比,nomogram分期系统具有更好的临床应用价值。结论:本研究首次采用竞争风险模型评价女性生殖系统角化性鳞状细胞癌的预后危险因素。结果可能有助于临床医生做出更好的临床判断。此外,我们开发了一个nomogram来预测患者在3年、5年和8年癌症特异性死亡(CSD)的可能性。与AJCC分期系统相比,医生可以使用我们的nomogram来更准确地预测CSD的可能性。
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引用次数: 0
From discovery to clinical implementation of a pancreatic blood biomarker, apolipoprotein A2 isoform. 胰腺血液生物标志物载脂蛋白 A2 同工型从发现到临床应用。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-02 DOI: 10.1177/18758592251317405
Ayumi Kashiro, Giman Jung, Kazufumi Honda

Pancreatic cancer is a rare and refractory cancer, and the development of blood biomarkers for the enrichment of high-risk individuals who have risk factors for pancreatic cancer from the asymptomatic population is an unmet medical need. We identified abnormalities in the C-terminal truncation of the apolipoprotein A2 dimer (apoA2-isoforms: apoA2-i) in the blood of pancreatic cancer patients through proteomic analysis, and we have reported the potential for diagnosing resectable pancreatic cancer by detecting these abnormalities. We successfully developed enzyme-linked immunosorbent assay (ELISA) reagents for measuring apoA2-i for research use only, and then the basic data for diagnosing pancreatic cancer were accumulated by several studies using these reagents. In 2023, ELISA for measuring apoA2-i was regenerated by the regulation under the Japanese Quality Management System (QMS), it received marketing approval in Japan as an in vitro diagnostic (IVD) kit to aid in the diagnosis of pancreatic cancer, and it is now used in clinical practice. This review chronicles the journey from the initial discovery through omics research, to demonstrating clinical utility via multicenter studies in Japan and international collaborative research using the research reagent and validating the clinical performance of the IVD ELISA kit through a regulatory, science-guided, clinical trial in Japan, and finally to recent activities in the USA.

胰腺癌是一种罕见的难治性癌症,从无症状人群中富集具有胰腺癌危险因素的高危个体的血液生物标志物是尚未满足的医疗需求。我们通过蛋白质组学分析发现了胰腺癌患者血液中载脂蛋白A2二聚体(apoa2 -异构体:apoA2-i)的c端截断异常,并报道了通过检测这些异常来诊断可切除胰腺癌的可能性。我们成功开发了用于检测apoA2-i的酶联免疫吸附试验(ELISA)试剂,仅供研究使用,并利用这些试剂进行了多次研究,积累了诊断胰腺癌的基础数据。2023年,用于测定apoA2-i的ELISA在日本质量管理体系(QMS)的监管下获得了再生,它在日本获得了上市许可,作为一种体外诊断(IVD)试剂盒,帮助诊断胰腺癌,现在已用于临床实践。这篇综述记录了从最初的发现到组学研究,到通过日本的多中心研究和国际合作研究使用研究试剂证明临床效用,并通过日本的监管,科学指导的临床试验验证IVD ELISA试剂盒的临床性能,最后到最近在美国的活动。
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引用次数: 0
Evaluating the efficacy of PARP inhibitor in ARID1A-deficient colorectal cancer: A ex vivo study. 评估PARP抑制剂在arid1a缺失型结直肠癌中的疗效:一项离体研究。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-16 DOI: 10.1177/18758592251317873
Rui Zong, Ping Zhou, Shaojie Qin, Jie Li, Shan Xu, MingWei Kang, Yuping Zhang

ARID1A mutations are a common occurrence in colorectal cancer (CRC) cells, but clinical therapeutic options targeting this anomaly remain unavailable. The loss of ARID1A functionality compromises DNA damage repair processes, potentially causing cancer cells to rely more heavily on PARP-dependent DNA repair pathways to preserve genomic integrity, thereby making them susceptible to PARP inhibitor (PARPi) therapy. To evaluate the suitability of PARPi treatment for CRC patients with ARID1A sufficiency (ARID1A+) and ARID1A deficiency (ARID1A-), our study enrolled 80 patients who had undergone surgical treatment for primary CRC. Surgical specimens underwent immunohistochemical examination to assess ARID1A protein expression. The study explored correlations between ARID1A expression loss and clinicopathological characteristics. Moreover, primary CRC cells were isolated through enzymatic digestion and validated using the colorectal carcinoma marker CK20. Subsequently, PARPi sensitivity was investigated in untreated ARID1A+ and ARID1A- CRC patients using an ATP-tumor chemosensitivity assay (ATP-TCA). Additionally, we confirmed the efficacy of PARPi in these primary CRC cells through clone formation and assessed its impact on cell cycle dynamics, apoptosis, and DNA damage repair signaling pathways using immunofluorescence and flow cytometry. The results demonstrated that the ARID1A- group displayed greater sensitivity to PARPi compared to the ARID1A+ group. PARPi treatment led to increased tumor cell death in the ARID1A- group. Mechanistically, ARID1A deficiency resulted in cell cycle abnormalities, particularly G2/M phase arrest, which was further exacerbated by PARPi treatment. Furthermore, PARPi treatment significantly increased the number of RAD51 foci in ARID1A- cell lines. In conclusion, our study highlights the potential of PARPi as an effective therapeutic option for ARID1A- CRC patients.

ARID1A突变在结直肠癌(CRC)细胞中很常见,但针对这种异常的临床治疗方案仍然缺乏。ARID1A功能的丧失损害了DNA损伤修复过程,可能导致癌细胞更多地依赖PARP依赖性DNA修复途径来保持基因组完整性,从而使它们对PARP抑制剂(PARPi)治疗敏感。为了评估PARPi治疗ARID1A充足(ARID1A+)和ARID1A缺乏(ARID1A-)的结直肠癌患者的适用性,我们的研究纳入了80例接受手术治疗的原发性结直肠癌患者。手术标本行免疫组化检查,评估ARID1A蛋白表达。本研究探讨了ARID1A表达缺失与临床病理特征之间的相关性。此外,通过酶切分离原代结直肠癌细胞,并使用结直肠癌标志物CK20进行验证。随后,使用atp -肿瘤化学敏感性试验(ATP-TCA)研究了未经治疗的ARID1A+和ARID1A- CRC患者的PARPi敏感性。此外,我们通过克隆形成证实了PARPi在这些原发性CRC细胞中的作用,并利用免疫荧光和流式细胞术评估了其对细胞周期动力学、凋亡和DNA损伤修复信号通路的影响。结果表明,与ARID1A+组相比,ARID1A-组对PARPi的敏感性更高。PARPi治疗导致ARID1A-组肿瘤细胞死亡增加。从机制上讲,ARID1A缺陷导致细胞周期异常,特别是G2/M期阻滞,PARPi治疗进一步加剧了这种异常。此外,PARPi处理显著增加了ARID1A-细胞系中RAD51病灶的数量。总之,我们的研究强调了PARPi作为ARID1A- CRC患者的有效治疗选择的潜力。
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引用次数: 0
Exploring the regulatory role of CNPY3 as a prognostic biomarker on human glioma cell migration, invasion and immune infiltration. 探索 CNPY3 作为预后生物标志物对人类胶质瘤细胞迁移、侵袭和免疫浸润的调控作用。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-02 DOI: 10.1177/18758592251328162
Lu Zhan, Fanyue Zeng, Jie Zheng, Sijing Chen, Zhiyun Zhang, Donghui Ju

BackgroundCanopy FGF signalling regulator 3 (CNPY3) is involved in immune regulation, tumorigenesis and development, nevertheless, its role in glioma remains largely unexplored. Our study aimed to explore the regulatory role of CNPY3 as a prognostic biomarker in human glioma cell migration, invasion and immune infiltration.MethodsBioinformatics analysis of CNPY3 and clinical relevance of glioma in public databases was performed. COX regression analysis was performed to assess the relationship between CNPY3 and glioma prognosis. GO and Kyoto Encyclopedia of Genes and Genomes analyses were conducted to predict the signaling pathways of CNPY3 in gliomas. Tumor immune infiltration was explored using TIMER, CIBERSORT, and Pearson correlation analysis. GSVA analysis and single-cell sequencing data were employed for further validation. The effects of CNPY3 on the migration and invasion of glioma cells were investigated through cell scratch assay and transwell assay.ResultsCNPY3 was positively correlated with IDH mutation status, 1p/19q status, histopathologic grade, and MGMT promoter methylation status, but negatively with the overall survival of glioma patients (P < 0.05). CNPY3 was significantly associated with tumor immune response, inflammatory response, and lipopolysaccharide-mediated signaling pathway. CNPY3 influenced different types of immune cells which affected the immune microenvironment of glioma. CNPY3 promoted the increase of M2 macrophage and was negatively correlated with the positive regulation of macrophages apoptotic process. In vitro data suggested the promotion of CNPY3 in U87MG cells was associated with an increased capacity for cell migration and invasion (P < 0.05). Tumor drug sensitivity analysis showed more sensitivity towards temozolomide, irinotecan, and cisplatin among high CNPY3 expression patients (P < 0.05).ConclusionIncreased CNPY3 expression impacts the immune microenvironment of glioma and enhances the migration and invasion of glioma. CNPY3 is recommended as a prognostic biomarker for glioma patients.

树冠FGF信号调节因子3 (CNPY3)参与免疫调节、肿瘤发生和发展,然而,其在胶质瘤中的作用仍未被充分研究。本研究旨在探讨CNPY3作为预后生物标志物在人胶质瘤细胞迁移、侵袭和免疫浸润中的调节作用。方法对公共数据库中CNPY3基因的生物信息学分析与胶质瘤的临床相关性。采用COX回归分析CNPY3与胶质瘤预后的关系。GO和京都基因和基因组百科分析预测了神经胶质瘤中CNPY3的信号通路。采用TIMER、CIBERSORT、Pearson相关分析探讨肿瘤免疫浸润。采用GSVA分析和单细胞测序数据进一步验证。通过细胞划痕实验和transwell实验研究CNPY3对胶质瘤细胞迁移和侵袭的影响。结果scnpy3与IDH突变状态、1p/19q状态、组织病理分级、MGMT启动子甲基化状态呈正相关,与胶质瘤患者总生存率呈负相关
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引用次数: 0
BUB1, miR-495-3p, and E2F1/E2F8 axis is associated with poor prognosis of breast cancer patients and infiltration of Th2 cells in the tumor microenvironment. BUB1、miR-495-3p、E2F1/E2F8轴与乳腺癌患者预后不良及肿瘤微环境中Th2细胞浸润有关。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-03-01 Epub Date: 2025-04-04 DOI: 10.1177/18758592241310109
Rajeev Nema, Ashok Kumar

Breast cancer, the most common cancer in women, is characterized by cell cycle dysregulation and chromosome segregation errors, leading to mitotic catastrophe and genomic instability. Understanding these molecular mechanisms is crucial for better diagnosis and treatment. We used databases like TIMER 2.0, UALCAN, and Oncomine to determine the differential expression of Budding uninhibited by benzimidazole 1 (BUB1) in normal and pan-cancer tissues. we also used the Kaplan-Meier Plotter database to analyze gene expression associations with survival outcomes, bc-GenExMiner v5.0 to analyze BUB1 gene expression and histological subtypes, and ctcRbase and miR-TV to identify microRNAs associated with BUB1 expression in breast cancer. Our data show that BUB1 expression is overexpressed in breast cancer tumors, metastatic tissues, and circulating tumor cells, leading to shorter overall survival, disease-free survival, and relapse-free survival compared to low-expression patients. BUB1 expression is strongly correlated with E2F1/E2F8 expression, suggesting a potential regulatory relationship between these genes. The study revealed a negative correlation between target miRNA miR-495-3p and BUB1 expression in breast cancer tumors, indicating a potential regulatory relationship between these genes. The BUB1 expression was also strongly correlated with the infiltration of CD4+ T helper 2 (Th2) subtypes in the tumors, suggesting a need for further research.

乳腺癌是女性最常见的癌症,其特征是细胞周期失调和染色体分离错误,导致有丝分裂突变和基因组不稳定。了解这些分子机制对于更好的诊断和治疗至关重要。我们使用TIMER 2.0、UALCAN和Oncomine等数据库来确定芽发芽不受苯并咪唑1 (BUB1)在正常和泛癌组织中的差异表达。我们还使用Kaplan-Meier Plotter数据库分析与生存结果相关的基因表达,使用bc-GenExMiner v5.0分析BUB1基因表达和组织学亚型,使用ctcRbase和miR-TV鉴定与乳腺癌中BUB1表达相关的microrna。我们的数据显示,与低表达患者相比,乳腺癌肿瘤、转移组织和循环肿瘤细胞中BUB1表达过表达,导致总生存期、无病生存期和无复发生存期较短。BUB1表达与E2F1/E2F8表达密切相关,提示这些基因之间存在潜在的调控关系。研究发现靶miRNA miR-495-3p与乳腺癌肿瘤中BUB1的表达呈负相关,提示这些基因之间存在潜在的调控关系。BUB1的表达也与CD4+ T辅助2 (Th2)亚型在肿瘤中的浸润密切相关,提示需要进一步研究。
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引用次数: 0
Panax notoginseng improves the sensitivity of non-small cell lung cancer to cisplatin by inhibiting Akt signaling. 三七通过抑制Akt信号通路提高非小细胞肺癌对顺铂的敏感性。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-02-01 Epub Date: 2025-04-07 DOI: 10.1177/18758592241303377
Lizhen Pan, Dandan Zhang, Qiqi Shao, Maohao Cheng, Zhicheng Liao, Lingpei Yu, Yuanyuan Wang, Pengcheng Jia, Jizhou Zhang

BackgroundCisplatin (DDP) resistance is a major challenge in the management of non-small cell lung cancer (NSCLC). Panax notoginseng has anticancer effects on a variety of solid tumors, but data on NSCLC and DDP resistance are lacking.ObjectiveTo investigate the effect of Panax notoginseng on DDP resistance in NSCLC in vitro and in vivo and explore the mechanisms involved.MethodsA 1 g/mL Panax notoginseng extract was prepared to treat the A549 and DDP-resistant A549/DDP cell lines. Cell proliferation was assessed using the CCK-8 assay, and apoptosis was measured via Annexin V-FITC/PI staining and flow cytometry. Glucose uptake, ATP production, and lactate levels were evaluated. Protein levels of p-AKT, GLUT1, HKII, and cleaved-caspase-3 were analyzed by Western blot. IGF1 was used to activate the Akt pathway. In vivo, A549/DDP cells were inoculated into nude mice to establish subcutaneous tumors, and tumor growth and apoptosis were assessed.ResultsPanax notoginseng inhibited A549/DDP cell proliferation, enhanced DDP-induced apoptosis, and reduced glucose uptake, ATP, and lactate levels (all p < 0.05). Combined treatment decreased p-AKT, GLUT1, and HKII expression while increasing cleaved-caspase-3(p < 0.05). IGF1 reversed these effects, indicating Akt pathway involvement (p < 0.05). In vivo, Panax notoginseng and DDP significantly suppressed tumor growth and increased apoptosis in tumors, confirming enhanced chemosensitivity (p < 0.05).ConclusionPanax notoginseng can improve the sensitivity of A549/DDP cells to DDP by inhibiting the effects of TRIM46 and Akt signaling pathways on glycolysis in vivo and in vitro.

顺铂(DDP)耐药是治疗非小细胞肺癌(NSCLC)的主要挑战。三七对多种实体瘤均有抗癌作用,但对NSCLC和DDP耐药的研究资料尚缺乏。目的观察三七对非小细胞肺癌DDP耐药的影响,并探讨其机制。方法制备1 g/mL三七提取物,分别作用于A549和耐药A549/DDP细胞系。CCK-8法检测细胞增殖,Annexin V-FITC/PI染色及流式细胞术检测细胞凋亡。葡萄糖摄取、ATP生成和乳酸水平被评估。Western blot分析p-AKT、GLUT1、HKII、cleaved-caspase-3蛋白水平。IGF1被用来激活Akt通路。在体内,将A549/DDP细胞接种于裸鼠皮下建立肿瘤,观察肿瘤生长和凋亡情况。结果三七抑制A549/DDP细胞增殖,增强DDP诱导的细胞凋亡,降低葡萄糖摄取、ATP和乳酸水平(p p p p)
{"title":"Panax notoginseng improves the sensitivity of non-small cell lung cancer to cisplatin by inhibiting Akt signaling.","authors":"Lizhen Pan, Dandan Zhang, Qiqi Shao, Maohao Cheng, Zhicheng Liao, Lingpei Yu, Yuanyuan Wang, Pengcheng Jia, Jizhou Zhang","doi":"10.1177/18758592241303377","DOIUrl":"https://doi.org/10.1177/18758592241303377","url":null,"abstract":"<p><p>BackgroundCisplatin (DDP) resistance is a major challenge in the management of non-small cell lung cancer (NSCLC). Panax notoginseng has anticancer effects on a variety of solid tumors, but data on NSCLC and DDP resistance are lacking.ObjectiveTo investigate the effect of Panax notoginseng on DDP resistance in NSCLC in vitro and in vivo and explore the mechanisms involved.MethodsA 1 g/mL Panax notoginseng extract was prepared to treat the A549 and DDP-resistant A549/DDP cell lines. Cell proliferation was assessed using the CCK-8 assay, and apoptosis was measured via Annexin V-FITC/PI staining and flow cytometry. Glucose uptake, ATP production, and lactate levels were evaluated. Protein levels of p-AKT, GLUT1, HKII, and cleaved-caspase-3 were analyzed by Western blot. IGF1 was used to activate the Akt pathway. In vivo, A549/DDP cells were inoculated into nude mice to establish subcutaneous tumors, and tumor growth and apoptosis were assessed.ResultsPanax notoginseng inhibited A549/DDP cell proliferation, enhanced DDP-induced apoptosis, and reduced glucose uptake, ATP, and lactate levels (all <i>p</i> < 0.05). Combined treatment decreased p-AKT, GLUT1, and HKII expression while increasing cleaved-caspase-3(<i>p</i> < 0.05). IGF1 reversed these effects, indicating Akt pathway involvement (<i>p</i> < 0.05). In vivo, Panax notoginseng and DDP significantly suppressed tumor growth and increased apoptosis in tumors, confirming enhanced chemosensitivity (<i>p</i> < 0.05).ConclusionPanax notoginseng can improve the sensitivity of A549/DDP cells to DDP by inhibiting the effects of TRIM46 and Akt signaling pathways on glycolysis in vivo and in vitro.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"42 2","pages":"18758592241303377"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143804840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Identification of key genes related to cancer associated fibroblasts in neuroblastoma: A comprehensive bioinformatics approach. 神经母细胞瘤中与癌症相关成纤维细胞相关的关键基因的鉴定:一种综合的生物信息学方法。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-02-01 Epub Date: 2025-04-03 DOI: 10.1177/18758592251317406
Zhao Qianyun, Wang Jianjun, Fan Kaisi, Li Jinhao, Chen Renhai, Ding Xiaoting, Li Yongteng, Yang Liucheng, Wu Kai

BackgroundNeuroblastoma (NB) is one of the most common and aggressive pediatric solid tumors, characterized by a highly complex pathogenesis. Within the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) constitute a major cell population and play a pivotal role in facilitating communication among various stromal cells. However, the specific functions and contributions of CAFs in NB remain incompletely understood.ObjectiveTo investigate the impact of CAFs-related genes on the prognosis of NB, we developed a risk model to facilitate the diagnosis and prognostication of patients.MethodsIn this study, a CAFs gene prognostic model for NB was established using single-cell analysis and genomic sequencing data. The effectiveness of this prognostic model was subsequently evaluated through the development of a nomogram, immune infiltration analysis, drug prediction, and gene set enrichment analysis. Ultimately, the expression levels of the identified key genes were experimentally validated in NB tissues.ResultsA novel prognostic model for CAFs related to NB prognosis was established through single-cell analysis and transcriptome dataset analysis. The prognosis of the high-risk group was worse than that of the low-risk group. The validity of the model was confirmed by nomogram, drug sensitivity analysis, and immune infiltration methods. Finally, the high expression of the key gene STEAP2 in NB tissues was verified by experiments.ConclusionsThe study introduces a new predictive model that uses CAF markers to forecast the prognosis of NB. STEAP2 plays a key role in identifying high-risk neuroblastoma and may become a potential therapeutic target for NB.

神经母细胞瘤(neuroblastoma, NB)是最常见和侵袭性的儿童实体肿瘤之一,其发病机制高度复杂。在肿瘤微环境(tumor microenvironment, TME)中,癌症相关成纤维细胞(cancer-associated fibroblasts, CAFs)构成了一个主要的细胞群,在促进各种间质细胞之间的通讯中起着关键作用。然而,CAFs在NB中的具体功能和贡献尚不完全清楚。目的探讨cafs相关基因对NB预后的影响,建立风险模型,为NB患者的诊断和预后提供依据。方法本研究采用单细胞分析和基因组测序数据,建立NB的CAFs基因预后模型。该预测模型的有效性随后通过线图的发展、免疫浸润分析、药物预测和基因集富集分析进行评估。最终,通过实验验证了鉴定出的关键基因在NB组织中的表达水平。结果通过单细胞分析和转录组数据集分析,建立了一种新的与NB预后相关的CAFs预后模型。高危组预后较低危组差。通过形态图、药敏分析和免疫浸润法验证了模型的有效性。最后,通过实验验证了关键基因STEAP2在NB组织中的高表达。结论本研究提出了一种利用CAF标志物预测NB预后的新预测模型。STEAP2在识别高危神经母细胞瘤中起关键作用,可能成为NB的潜在治疗靶点。
{"title":"Identification of key genes related to cancer associated fibroblasts in neuroblastoma: A comprehensive bioinformatics approach.","authors":"Zhao Qianyun, Wang Jianjun, Fan Kaisi, Li Jinhao, Chen Renhai, Ding Xiaoting, Li Yongteng, Yang Liucheng, Wu Kai","doi":"10.1177/18758592251317406","DOIUrl":"10.1177/18758592251317406","url":null,"abstract":"<p><p>BackgroundNeuroblastoma (NB) is one of the most common and aggressive pediatric solid tumors, characterized by a highly complex pathogenesis. Within the tumor microenvironment (TME), cancer-associated fibroblasts (CAFs) constitute a major cell population and play a pivotal role in facilitating communication among various stromal cells. However, the specific functions and contributions of CAFs in NB remain incompletely understood.ObjectiveTo investigate the impact of CAFs-related genes on the prognosis of NB, we developed a risk model to facilitate the diagnosis and prognostication of patients.MethodsIn this study, a CAFs gene prognostic model for NB was established using single-cell analysis and genomic sequencing data. The effectiveness of this prognostic model was subsequently evaluated through the development of a nomogram, immune infiltration analysis, drug prediction, and gene set enrichment analysis. Ultimately, the expression levels of the identified key genes were experimentally validated in NB tissues.ResultsA novel prognostic model for CAFs related to NB prognosis was established through single-cell analysis and transcriptome dataset analysis. The prognosis of the high-risk group was worse than that of the low-risk group. The validity of the model was confirmed by nomogram, drug sensitivity analysis, and immune infiltration methods. Finally, the high expression of the key gene STEAP2 in NB tissues was verified by experiments.ConclusionsThe study introduces a new predictive model that uses CAF markers to forecast the prognosis of NB. STEAP2 plays a key role in identifying high-risk neuroblastoma and may become a potential therapeutic target for NB.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"42 2","pages":"18758592251317406"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782081","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hypoxia inducible factor-1α promotes non-small cell lung cancer progression by activating leptin receptor transcription. 缺氧诱导因子-1α通过激活瘦素受体转录促进非小细胞肺癌进展。
IF 2.2 4区 医学 Q3 ONCOLOGY Pub Date : 2025-02-01 Epub Date: 2025-04-03 DOI: 10.1177/18758592251330479
Yan Li, Bo Chen, Shuangshuang Wu, Yijue Zhong, Yuxing Zhang, Jianqing Wu

BackgroundHypoxia and leptin receptors (also called obesity receptors, OB-R) are evident markers of tumor progression and have been demonstrated to be essential oncogenes in a variety of cancers. However, the specific role of OB-R in lung cancer, especially non-small cell lung cancer (NSCLC) and its correlation with HIF1α remains unclear. Present study aims to explore the potential functions and mechanisms of OB-R in NSCLC.MethodsThe RNA levels of HIF1α and OB-R in NSCLC cells were detected by quantitative real-time PCR (qRT-PCR) and western blotting. The HIF-1α, OB-R, and Ki67 levels in tumor tissues were detected by immunohistochemistry. CCK8 assays for proliferation, transwell assays for migration were performed to determine the role of HIF-1α and OB-R in vitro, while subcutaneous tumors in nude mice were used for in vivo functional studies. Mechanically, chromatin immunoprecipitation and luciferase reporter gene analyses were executed to determine the relationship between HIF-1α and OB-R.ResultsqRT-PCR and western blotting revealed that HIF-1α and OB-R was highly expressed in NSCLC cells. Moreover, hypoxia up-regulated OB-R expression in NSCLC cells via HIF-1α. Hence, down-regulating HIF-1α significantly reduced the mRNA level of OB-R. In addition, HIF-1α silencing reduced cell proliferation and migration in vitro. Xenograft mouse models indicated that decrease of HIF-1α led to tumor growth by decreasing OB-R in vivo. Mechanically, we unveiled that HIF-1α bound to the promoter region (-831 to -824) and positively regulated OB-R expression by activating its transcription. Additionally, by immunohistochemical staining, we observed that high levels of HIF-1α and OB-R were positively associated with tumor size and lymph node metastasis.ConclusionIn conclusion, our present results demonstrated that HIF-1α positively regulates the expression of OB-R, which acts as an oncogene in NSCLC. HIF-1α and OB-R are potential therapeutic targets in NSCLC.

缺氧和瘦素受体(也称为肥胖受体,OB-R)是肿瘤进展的明显标志,并已被证明是多种癌症的重要致癌基因。然而,OB-R在肺癌,特别是非小细胞肺癌(NSCLC)中的具体作用及其与HIF1α的相关性尚不清楚。本研究旨在探讨OB-R在非小细胞肺癌中的潜在功能和机制。方法采用实时荧光定量PCR (qRT-PCR)和western blotting检测非小细胞肺癌细胞中HIF1α和OB-R的RNA水平。免疫组化法检测肿瘤组织中HIF-1α、OB-R、Ki67水平。CCK8法测定HIF-1α和OB-R在体外的作用,transwell法测定HIF-1α和OB-R在体外的作用,裸鼠皮下肿瘤进行体内功能研究。机械地,通过染色质免疫沉淀和荧光素酶报告基因分析来确定HIF-1α和OB-R之间的关系。结果qrt - pcr和western blotting结果显示,HIF-1α和OB-R在NSCLC细胞中高表达。此外,缺氧通过HIF-1α上调NSCLC细胞中OB-R的表达。因此,下调HIF-1α可显著降低OB-R的mRNA水平。此外,HIF-1α沉默可以减少细胞在体外的增殖和迁移。异种移植小鼠模型表明,体内HIF-1α的降低通过降低OB-R导致肿瘤生长。机械地,我们发现HIF-1α结合到启动子区域(-831至-824),并通过激活OB-R的转录积极调节OB-R的表达。此外,通过免疫组织化学染色,我们观察到高水平的HIF-1α和OB-R与肿瘤大小和淋巴结转移呈正相关。结论在非小细胞肺癌中,HIF-1α正调控OB-R的表达,OB-R是一种致癌基因。HIF-1α和OB-R是NSCLC的潜在治疗靶点。
{"title":"Hypoxia inducible factor-1α promotes non-small cell lung cancer progression by activating leptin receptor transcription.","authors":"Yan Li, Bo Chen, Shuangshuang Wu, Yijue Zhong, Yuxing Zhang, Jianqing Wu","doi":"10.1177/18758592251330479","DOIUrl":"10.1177/18758592251330479","url":null,"abstract":"<p><p>BackgroundHypoxia and leptin receptors (also called obesity receptors, OB-R) are evident markers of tumor progression and have been demonstrated to be essential oncogenes in a variety of cancers. However, the specific role of OB-R in lung cancer, especially non-small cell lung cancer (NSCLC) and its correlation with HIF1α remains unclear. Present study aims to explore the potential functions and mechanisms of OB-R in NSCLC.MethodsThe RNA levels of HIF1α and OB-R in NSCLC cells were detected by quantitative real-time PCR (qRT-PCR) and western blotting. The HIF-1α, OB-R, and Ki67 levels in tumor tissues were detected by immunohistochemistry. CCK8 assays for proliferation, transwell assays for migration were performed to determine the role of HIF-1α and OB-R <i>in vitro</i>, while subcutaneous tumors in nude mice were used for <i>in vivo</i> functional studies. Mechanically, chromatin immunoprecipitation and luciferase reporter gene analyses were executed to determine the relationship between HIF-1α and OB-R.ResultsqRT-PCR and western blotting revealed that HIF-1α and OB-R was highly expressed in NSCLC cells. Moreover, hypoxia up-regulated OB-R expression in NSCLC cells via HIF-1α. Hence, down-regulating HIF-1α significantly reduced the mRNA level of OB-R. In addition, HIF-1α silencing reduced cell proliferation and migration <i>in vitro</i>. Xenograft mouse models indicated that decrease of HIF-1α led to tumor growth by decreasing OB-R <i>in vivo</i>. Mechanically, we unveiled that HIF-1α bound to the promoter region (-831 to -824) and positively regulated OB-R expression by activating its transcription. Additionally, by immunohistochemical staining, we observed that high levels of HIF-1α and OB-R were positively associated with tumor size and lymph node metastasis.ConclusionIn conclusion, our present results demonstrated that HIF-1α positively regulates the expression of OB-R, which acts as an oncogene in NSCLC. HIF-1α and OB-R are potential therapeutic targets in NSCLC.</p>","PeriodicalId":56320,"journal":{"name":"Cancer Biomarkers","volume":"42 2","pages":"18758592251330479"},"PeriodicalIF":2.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143782070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Cancer Biomarkers
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