Molecules interacting with CasL-Like 2 enhances tumor angiogenesis and progression by activating mTOR/HIF1α/VEGF pathway in kidney renal clear cell carcinoma
MICAL-L2在肾透明细胞癌中发挥关键作用，通过激活mTOR/HIF1α/VEGF信号通路促进肿瘤血管生成。研究表明，MICAL-L2的高表达与患者的短期生存率相关，可能成为新的治疗靶点。该研究结合了生物信息学分析和临床样本，揭示了MICAL-L2在肿瘤微环境中的重要性，为抗肿瘤治疗提供了新的思路。
Diversity of oxidative stress and senescence phenotypes induced by chemotherapeutic agents in HUVECs
本研究探讨了不同化疗药物（如多柔比星、甲氨蝶呤等）对人脐静脉内皮细胞（HUVECs）衰老的影响，发现这些药物通过诱导DNA损伤和活性氧（ROS）积累来触发内皮细胞的衰老。研究表明，MTX的衰老效应主要依赖于ROS的生成，而其他药物则通过直接的DNA损伤机制引发衰老。该研究为改善化疗相关的内皮毒性提供了新的思路，强调了ROS清除剂在减轻MTX诱导的衰老中的潜在应用。
Paroxetine suppresses 27-hydroxycholesterol-induced responses in THP-1 human monocytic cells by regulating the AKT/mTORC1 pathway
Paroxetine (PRX) demonstrates significant immunomodulatory effects by suppressing 27-hydroxycholesterol-induced inflammatory responses in THP-1 human monocytic cells. The study reveals that PRX regulates key pathways, particularly the Akt/mTORC1 signaling pathway, which is crucial for modulating inflammation. Findings suggest that PRX could be repurposed for treating chronic inflammatory diseases, highlighting its potential as a novel therapeutic agent. Further research is warranted to explore its efficacy in clinical settings.
Methylated 1,2-naphthoquinone derivative SJ006 as an inhibitor of human glucose 6-phosphate dehydrogenase in non-small cell lung cancer cell lines
SJ006, a methylated 1,2-naphthoquinone derivative, has been identified as a potent inhibitor of glucose 6-phosphate dehydrogenase (G6PD) in non-small cell lung cancer (NSCLC) cell lines. The study demonstrates that SJ006 induces significant cytotoxicity and disrupts redox balance, leading to cell cycle arrest and apoptosis. Unlike traditional inhibitors, SJ006 does not affect G6PD expression levels, suggesting a novel mechanism of action. These findings position SJ006 as a promising candidate for further development in cancer therapy, particularly for NSCLC.
The transcription factor Blimp-1 is suppressed by SLAMF1 and drives Treg cell-mediated immune evasion in non-small cell lung cancer
研究发现转录因子Blimp-1在非小细胞肺癌（NSCLC）中扮演关键角色，促进Treg细胞介导的免疫逃逸。通过分析手术后患者的肺组织和外周血细胞，发现Blimp-1在肿瘤区域的表达显著增加，且与免疫抑制相关。研究提出针对Blimp-1的治疗策略，可能为改善NSCLC的免疫治疗提供新思路。
Integrated epigenetic and genetic programming of primary human T cells
研究开发了一种基于RNA的CRISPR技术平台，能够在初级人类T细胞中实现高效的多重表观遗传编程。该技术通过CRISPRoff实现持久的基因沉默，显著增强了CAR-T细胞的抗肿瘤能力，具有重要的商业潜力和临床应用价值。
FAM83A is a prognostic biomarker for lung squamous cell carcinoma and correlated with immunoregulation
FAM83A被确认是肺鳞状细胞癌（LUSC）的预后生物标志物，其高表达与患者的不良预后相关。研究通过多中心回顾性分析，建立了基于FAM83A表达的预后模型，显示出良好的临床适用性和预测准确性。此外，FAM83A的表达还与免疫细胞浸润及免疫调节过程相关，为LUSC的治疗提供了新的生物标志物和潜在靶点。
On-genetic inactivation of caspase-3 and P53 increases cancer cell fitness by PDIA4 redistribution
研究揭示了ER应激和未折叠蛋白反应（UPR）在癌细胞化疗耐药中的重要作用，特别是PDIA4通过抑制caspase-3和p53活性来增强癌细胞的生存能力。该机制为癌症治疗提供了新的靶点，尤其是在化疗耐药的背景下。研究表明，PDIA4的高表达与结直肠癌患者的预后不良相关，强调了其作为潜在治疗靶点的价值。
DANet a lightweight dilated attention network for malaria parasite detection
DANet是一种创新的轻量级深度学习模型，专注于疟疾寄生虫的检测。通过引入Dilated Attention Block，该模型在NIH Malaria Dataset上实现了97.95%的分类准确率，展现出卓越的性能和较低的计算需求，适合在资源有限的环境中使用。研究强调了疟疾的全球健康挑战，并推动了对检测技术的投资，表明该技术在临床应用中的潜力。
Multimodal prediction of metastatic relapse using federated deep learning in soft-tissue sarcoma with a complex genomic profile
本研究开发了SarcNet，一个基于多模态深度学习的算法，用于预测软组织肉瘤患者的转移复发。通过联邦学习技术，该模型在多个医疗中心的数据上进行训练，确保患者隐私的同时提升了预测准确性。SarcNet在交叉验证中达到了0.797的AUC，显示出其在临床决策中的潜力，尤其是在识别高风险患者方面。该研究为AI在肿瘤预测中的应用提供了新的视角，具有重要的商业价值。
A deep learning framework with hybrid stacked sparse autoencoder for type 2 diabetes prediction
The study presents a novel Hybrid Stacked Sparse Autoencoder (HSSAE) algorithm for predicting Type 2 diabetes, demonstrating superior performance over traditional machine learning and deep learning models. The algorithm achieved an accuracy of 93% on the EHRs diabetes prediction dataset, effectively managing sparse data challenges. Key contributions include a custom hybrid loss function and robust feature selection techniques, enhancing predictive accuracy and reliability. The findings underscore the potential of HSSAE in clinical applications, particularly for early diabetes detection.
Representation learning enables robust single cell phenotyping in whole slide liquid biopsy imaging
本研究提出了一种基于深度对比学习的框架，用于从液体活检的全切片图像中提取单细胞特征，显著提高了肿瘤相关细胞的分类准确性。该方法能够自动识别和计数稀有细胞表型，具有92.64%的分类准确率和0.93的F1分数，展示了其在癌症监测和个性化治疗中的潜力。研究结果表明，该技术在肿瘤学领域具有重要的临床应用价值，适合早期投资。
Comprehensive analysis of microRNA expression provides mechanistic insights into transcriptomic alteration in primary and metastatic testicular germ cell tumors
本研究对睾丸生殖细胞肿瘤（TGCT）中miRNA表达进行了全面分析，识别了潜在的诊断生物标志物。通过对43个样本的miRNA测序，发现154种miRNA在纯精原细胞（SEM）中富集，141种在非精原细胞（N-SEM）中富集。研究结果与TCGA数据高度一致，表明这些miRNA可能在TGCT的诊断和治疗中具有重要应用潜力。
Enhancer activation from transposable elements in extrachromosomal DNA
本研究揭示了转座元件在癌细胞中的增强子活性，特别是EIE 14在MYC基因表达中的作用。研究表明，ecDNA能够通过转座元件的激活影响肿瘤进展，提供了新的癌症治疗靶点和生物标志物的潜力。该研究为肿瘤学领域的创新性治疗策略提供了重要的科学依据。
Lightweight self supervised learning framework for domain generalization in histopathology
HistoLite是一种轻量级自监督学习框架，旨在解决病理图像中的领域偏差问题，具有较强的跨扫描仪泛化能力。研究表明，HistoLite在乳腺癌分类任务中的表现优于传统大型模型，适合资源有限的医疗机构。该框架通过自监督学习和双流对比自编码器架构，能够在较小的数据集上进行训练，提供了对扫描仪偏差的鲁棒性。