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New insights into the effects of microbiome and its derived metabolites on targeted immunotherapy. 微生物组及其衍生代谢物对靶向免疫治疗作用的新见解。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-11-16 DOI: 10.1186/s43046-025-00330-x
Maged Tharwat Elghannam, Moataz Hassan Hassanien, Yosry Abdel Rahman Ameen, Emad Abdelwahab Turky, Gamal Mohammed ELattar, Ahmed Aly ELRay, Mohammed Darwish ELTalkawy

The significance of gut bacteria and their byproducts is gaining greater recognition, especially in the realm of immunotherapy. An imbalance in gut bacteria or their byproducts is intricately linked to the onset, progression, and treatment of cancer. Metabolites derived from gut microbiota, including short-chain fatty acids (SCFAs), secondary bile acids (SBAs), indole derivatives, and trimethylamine oxide (TMAO), engage with cellular targets to initiate intracellular signaling pathways. These signals are conveyed to the cell, influencing its growth. Targeted therapies encompass a complex and ever-evolving area that is crucial in cancer management. Nonetheless, it is vital to recognize that targeted therapy encounters a multitude of challenges. Factors influencing the success of targeted therapy include drug resistance resulting from prolonged use, side effects, and variations in genetic mutations, tumor diversity, and the complex nature of the tumor microenvironment. Recently, we have deepened our understanding of the relationship between the gut microbiome and anticancer targeted therapies. This is one face of the molecular pathologic epidemiology. This prompts us to investigate promising treatment strategies linked to these gut bacteria and their metabolites, thereby unlocking new possibilities for targeted anticancer therapies.

肠道细菌及其副产品的重要性正在获得越来越多的认识,特别是在免疫治疗领域。肠道细菌或其副产品的不平衡与癌症的发生、发展和治疗有着复杂的联系。来自肠道微生物群的代谢物,包括短链脂肪酸(SCFAs)、次级胆汁酸(SBAs)、吲哚衍生物和氧化三甲胺(TMAO),与细胞靶点结合,启动细胞内信号通路。这些信号被传递给细胞,影响其生长。靶向治疗涵盖了一个复杂且不断发展的领域,在癌症治疗中至关重要。尽管如此,重要的是要认识到靶向治疗遇到了许多挑战。影响靶向治疗成功的因素包括长期使用导致的耐药性、副作用、基因突变的变化、肿瘤多样性以及肿瘤微环境的复杂性。最近,我们加深了对肠道微生物组和抗癌靶向治疗之间关系的理解。这是分子病理流行病学的一个方面。这促使我们研究与这些肠道细菌及其代谢物相关的有希望的治疗策略,从而开启靶向抗癌治疗的新可能性。
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引用次数: 0
The molecular management of classic myeloproliferative neoplasm. 经典骨髓增生性肿瘤的分子治疗。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-11-10 DOI: 10.1186/s43046-025-00325-8
Charlène G S Soro, Sara Benchikh, Adil El Hamouchi, Imane Morjane, Rachid Saile, Halima Lebrazi, Sanaa Nassereddine

Background: Whole-genome sequencing has enabled the development of a wide range of analytical tools to search for abnormalities associated with tumors. As classic myeloproliferative neoplasms (MPNs) are associated with genomic alterations in hematopoietic stem cells, the World Health Organization (WHO) recommendations include since 2008 molecular investigations as an important part of the diagnosis and management of these pathologies. Recent advances in sequencing technologies, such as next-generation sequencing (NGS), have enhanced the analysis platforms. However, epidemiological information on MPNs is limited, especially in low/middle-income countries.

Aim: This literature review provides a state-of-the-art on the classification of MPNs and a comprehensive examination of contemporary analytical techniques, while highlighting the advantages and drawbacks of each method.

Methods: The scientific literature for the synthesis of this article was obtained by searching the PubMed and Science Direct databases, and the tables were generated using Excel 2016 software.

Results: Driver mutations in MPNs can be detected by genotyping or sequencing. Genotyping techniques present an increased risk of false negatives because of their low sensitivity, whereas sequencing techniques are more sensitive but can present specificity or time-consuming disadvantages.

Conclusion: Although a large number of applications favor NGS, it is essential to consider the cost-effectiveness of these technologies to meet the needs of laboratories in low/middle-income regions. Alternative techniques such as real-time polymerase chain reaction (qPCR), immunohistochemistry (CAL2IHC), and liquid chromatography (dHPLC) should be explored and considered as sustainable options.

背景:全基因组测序已经使广泛的分析工具的发展,以寻找与肿瘤相关的异常。由于经典骨髓增生性肿瘤(mpn)与造血干细胞的基因组改变有关,自2008年以来,世界卫生组织(WHO)建议将分子调查作为这些病理诊断和管理的重要组成部分。测序技术的最新进展,如下一代测序(NGS),增强了分析平台。然而,关于mpn的流行病学信息有限,特别是在低收入/中等收入国家。目的:本文献综述提供了最新的mpn分类和当代分析技术的全面检查,同时突出了每种方法的优点和缺点。方法:通过检索PubMed和Science Direct数据库获取本文合成所需的科学文献,使用Excel 2016软件生成表格。结果:mpn的驱动突变可以通过基因分型或测序检测到。基因分型技术由于其低灵敏度而增加了假阴性的风险,而测序技术更敏感,但可能存在特异性或耗时的缺点。结论:尽管大量应用支持NGS,但必须考虑这些技术的成本效益,以满足中低收入地区实验室的需求。实时聚合酶链反应(qPCR)、免疫组织化学(CAL2IHC)和液相色谱(dHPLC)等替代技术应该被探索和考虑为可持续的选择。
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引用次数: 0
Quantum dot: a next-generation tool for cancer diagnosis at an early stage. 量子点:新一代早期癌症诊断工具。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-11-09 DOI: 10.1186/s43046-025-00329-4
Adhi Kesava Naidu Neelam

Background: The convergence of biology and nanomaterials has propelled technological progress in biomedical sciences, offering transformative applications in diagnostics and therapy. Among these advancements, quantum dots (QDs) semiconductor nanocrystals activated by light have emerged as versatile tools due to their unique optical and electronic properties. Graphene quantum dots (GQDs), a subset of QDs, are nanoscale fragments of graphene that exhibit exceptional features, making them highly suitable for innovative biomedical applications. These include cancer detection, drug delivery, and imaging, areas where early diagnosis and effective treatment are crucial.

Main body: The production of synthetic GQDs relies on two primary approaches: top-down methods, where larger carbon structures are broken into smaller fragments, and bottom-up methods, which involve assembling GQDs from smaller molecular units. Both methods offer advantages depending on the desired properties and applications of the GQDs. GQDs possess several beneficial characteristics, including high photostability, excellent biocompatibility, and tunable fluorescence, which make them particularly valuable for biomedical purposes. In cancer therapy, GQDs serve as efficient nano-delivery vehicles for drugs, offering enhanced targeting and reduced side effects compared to traditional chemotherapy. Furthermore, their fluorescence properties enable precise imaging and early detection of cancerous cells, providing a dual functionality in diagnosis and therapy. Current research highlights advancements in QD synthesis techniques, enhancing their scalability and application potential. These innovations underscore the role of GQDs in bridging the gap between experimental research and clinical applications.

Conclusion: Quantum dots, particularly graphene quantum dots, represent a breakthrough in the field of nanomedicine. Their synthesis, functional properties, and dual roles in diagnostics and therapeutic delivery underscore their importance in advancing cancer treatment and early detection. With continued research and development, GQDs are poised to revolutionize drug delivery systems and expand the horizons of biomedical science.

背景:生物学和纳米材料的融合推动了生物医学科学的技术进步,为诊断和治疗提供了变革性的应用。在这些进步中,由光激活的量子点(QDs)半导体纳米晶体由于其独特的光学和电子特性而成为多功能工具。石墨烯量子点(GQDs)是量子点的一个子集,是石墨烯的纳米级片段,具有特殊的特性,使其非常适合创新的生物医学应用。其中包括癌症检测、药物输送和成像,这些领域的早期诊断和有效治疗至关重要。主体:合成GQDs的生产主要依靠两种方法:自上而下的方法,将较大的碳结构分解成较小的片段;自下而上的方法,将较小的分子单元组装成GQDs。这两种方法都有各自的优点,这取决于GQDs所需的性质和应用。GQDs具有一些有益的特性,包括高光稳定性、优异的生物相容性和可调荧光,这使它们在生物医学领域特别有价值。在癌症治疗中,GQDs作为有效的纳米药物递送载体,与传统化疗相比,具有更强的靶向性和更少的副作用。此外,它们的荧光特性能够精确成像和早期检测癌细胞,在诊断和治疗中提供双重功能。目前的研究重点是量子点合成技术的进展,增强了它们的可扩展性和应用潜力。这些创新突出了GQDs在弥合实验研究和临床应用之间的差距方面的作用。结论:量子点,特别是石墨烯量子点,代表着纳米医学领域的一个突破。它们的合成、功能特性以及在诊断和治疗中的双重作用强调了它们在推进癌症治疗和早期发现方面的重要性。随着不断的研究和开发,GQDs有望彻底改变药物输送系统并扩大生物医学科学的视野。
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引用次数: 0
The role of stem cells in precision medicine: next-generation cancer treatment. 干细胞在精准医学中的作用:下一代癌症治疗。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-11-02 DOI: 10.1186/s43046-025-00328-5
Hafsa Iqbal, Bibi Khadija

Background: Precision medicine has transformed oncology by tailoring treatments to the molecular and genetic characteristics of individual tumors. Stem cell-based strategies hold unique potential to complement these approaches by enabling regenerative support, targeted delivery of therapeutics, and novel models for drug screening.

Methods: This review synthesizes current evidence on the integration of stem cell biology into precision cancer therapy, highlighting advances in tumor profiling, next-generation sequencing (NGS), and genome editing that enable personalized interventions.

Results: Emerging applications include engineered stem cells for selective delivery of oncolytic agents, immune modulation through stem cell-derived platforms, and the use of induced pluripotent stem cells (iPSCs) for modeling tumor heterogeneity. Advances in NGS are accelerating tumor-specific profiling, facilitating gene editing of stem cells, and refining patient selection for therapy.

Challenges: Despite progress, translational barriers remain, including risks of tumorigenicity, ethical concerns, high costs, immune rejection, and limited large-scale clinical validation.

Conclusion: Stem cell-based precision oncology is a rapidly evolving field with significant promise. Future directions include integrating NGS-driven tumor profiling with engineered stem cells, optimizing safety through gene-editing technologies, and advancing clinical trials to establish efficacy. These efforts could reshape the landscape of individualized cancer care.

背景:精准医学通过根据个体肿瘤的分子和遗传特征定制治疗方法,改变了肿瘤学。基于干细胞的策略具有独特的潜力,可以通过再生支持、靶向治疗和药物筛选的新模型来补充这些方法。方法:本综述综合了目前将干细胞生物学整合到精确癌症治疗中的证据,强调了肿瘤分析、下一代测序(NGS)和基因组编辑方面的进展,这些进展使个性化干预成为可能。结果:新兴的应用包括工程干细胞用于选择性递送溶瘤剂,通过干细胞衍生平台进行免疫调节,以及使用诱导多能干细胞(iPSCs)模拟肿瘤异质性。NGS的进展正在加速肿瘤特异性分析,促进干细胞的基因编辑,并改进患者的治疗选择。挑战:尽管取得了进展,但转化障碍仍然存在,包括致瘤性风险、伦理问题、高成本、免疫排斥和有限的大规模临床验证。结论:基于干细胞的精确肿瘤学是一个快速发展的领域,具有重要的前景。未来的方向包括将ngs驱动的肿瘤分析与工程干细胞相结合,通过基因编辑技术优化安全性,以及推进临床试验以确定疗效。这些努力可能会重塑个体化癌症治疗的格局。
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引用次数: 0
Unraveling LncRNAs: the future of lung cancer treatment. 解开lncrna:肺癌治疗的未来。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-10-26 DOI: 10.1186/s43046-025-00327-6
Zahraa Isam Jameel, Halla Abdul-Hadi Chabuk

Long non-coding ribonucleic acids (LncRNAs) are larger than 200 nucleotides and resemble messenger ribonucleic acids (mRNAs), but they do not code for proteins. In both cell development and physiological cell function, LncRNAs have crucial biological functions. Consequently, cancer entails the disruption of their biological function. Many people die from lung cancer because it is diagnosed late, spreads to other parts of the body, and has a high treatment failure rate. Because they can be involved in either oncogenic or tumor-suppressing functions, LncRNAs are quickly becoming core molecules in lung cancer. Since LncRNAs are long-lasting in blood, they can be utilized as non-invasive diagnostic tools for cancer at an early stage. We review the latest research that has brought together evidence from real-world observations concerning the processes through which LncRNAs work in cancer formation, how they allow cancer to develop drug resistance, and how they can be used as possible diagnostic tools and markers of outcome, with a focus on lung cancer. We also cover some of the ongoing treatment strategies that can target LncRNAs. As seen from what has been laid out here, the examination of LncRNAs in lung cancer with protein-coding genes could provide evidence for a further elucidation of the molecular events behind the disease as well as its progression, and the potential for a new therapeutic pathway.

长链非编码核糖核酸(LncRNAs)大于200个核苷酸,类似信使核糖核酸(mrna),但它们不编码蛋白质。在细胞发育和细胞生理功能中,lncrna都具有重要的生物学功能。因此,癌症导致了它们的生物功能的破坏。许多人死于肺癌,因为肺癌诊断较晚,扩散到身体其他部位,并且治疗失败率很高。由于lncrna可能参与致癌或肿瘤抑制功能,因此它们正迅速成为肺癌的核心分子。由于lncrna在血液中存在时间较长,因此可以作为早期癌症的非侵入性诊断工具。我们回顾了最新的研究,这些研究汇集了来自现实世界的证据,涉及lncrna在癌症形成过程中的作用,它们如何使癌症产生耐药性,以及它们如何被用作可能的诊断工具和结果标记,重点是肺癌。我们还介绍了一些针对lncrna的治疗策略。综上所述,检测肺癌中含有蛋白编码基因的lncrna可以为进一步阐明疾病背后的分子事件及其进展提供证据,并有可能找到新的治疗途径。
{"title":"Unraveling LncRNAs: the future of lung cancer treatment.","authors":"Zahraa Isam Jameel, Halla Abdul-Hadi Chabuk","doi":"10.1186/s43046-025-00327-6","DOIUrl":"https://doi.org/10.1186/s43046-025-00327-6","url":null,"abstract":"<p><p>Long non-coding ribonucleic acids (LncRNAs) are larger than 200 nucleotides and resemble messenger ribonucleic acids (mRNAs), but they do not code for proteins. In both cell development and physiological cell function, LncRNAs have crucial biological functions. Consequently, cancer entails the disruption of their biological function. Many people die from lung cancer because it is diagnosed late, spreads to other parts of the body, and has a high treatment failure rate. Because they can be involved in either oncogenic or tumor-suppressing functions, LncRNAs are quickly becoming core molecules in lung cancer. Since LncRNAs are long-lasting in blood, they can be utilized as non-invasive diagnostic tools for cancer at an early stage. We review the latest research that has brought together evidence from real-world observations concerning the processes through which LncRNAs work in cancer formation, how they allow cancer to develop drug resistance, and how they can be used as possible diagnostic tools and markers of outcome, with a focus on lung cancer. We also cover some of the ongoing treatment strategies that can target LncRNAs. As seen from what has been laid out here, the examination of LncRNAs in lung cancer with protein-coding genes could provide evidence for a further elucidation of the molecular events behind the disease as well as its progression, and the potential for a new therapeutic pathway.</p>","PeriodicalId":17301,"journal":{"name":"Journal of the Egyptian National Cancer Institute","volume":"37 1","pages":"70"},"PeriodicalIF":1.8,"publicationDate":"2025-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145372715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual-modality treatment using gamma radiation and ZnO nanoparticles: effects on normal and malignant lung cells. 伽玛辐射和氧化锌纳米粒子双模治疗:对正常和恶性肺细胞的影响。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-10-22 DOI: 10.1186/s43046-025-00312-z
Naglaa M Ismail, Soheir Korraa, Amira Abdel Rehim Qotb

This study primarily aims to investigate the effects of gamma (γ) radiation, both independently and in combination with zinc oxide nanoparticles (ZnO NPs), on normal and lung cancer cell lines. Lung cancer continues to be a major cause of cancer-related mortality globally. Radiotherapy is a common way of treating lung cancer. The treatment efficacy of cell death requires a high dosage of focused radiation. Due to their physicochemical properties and potential biological activity, ZnO NPs have emerged as promising candidates in nanomedicine and oncology. In this research, ZnO NPs were synthesized and characterized through various analytical techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDS), differential scanning calorimetry (DSC), and dynamic light scattering (DLS). The resulting nanoparticles were semi-spherical in shape (22-29 nm), stable, and had a zeta potential of - 21 ± 2.40 mV. The cytotoxic effects were assessed using human lung cancer cells (A549) and normal lung fibroblast cells (WI-38). Treatments involved ZnO NPs alone or combined with 15 Gy of γ-radiation over 48 h. A significant increase in cytotoxicity was observed in A549 cancer cells compared to normal cells. ZnO NPs alone showed moderate anticancer efficacy with an IC50 of 26.78 ± 0.44 µg/mL, whereas ZnO NPs + 15 Gy gamma radiation led to a pronounced reduction in cell viability with an IC50 of 15.97 ± 0.45 µg/mL. These results indicate that the combination of ZnO NPs with γ-radiation enhances apoptosis and significantly suppresses the growth of lung cancer cells (p < 0.001), offering potential for improved therapeutic outcomes in lung cancer radiotherapy.

本研究的主要目的是研究γ (γ)辐射,无论是单独的还是与氧化锌纳米粒子(ZnO NPs)联合,对正常和肺癌细胞系的影响。肺癌仍然是全球癌症相关死亡的一个主要原因。放射治疗是治疗肺癌的常用方法。细胞死亡的治疗效果需要高剂量的聚焦辐射。由于其物理化学性质和潜在的生物活性,ZnO NPs已成为纳米医学和肿瘤学领域的有前途的候选者。本研究通过x射线衍射(XRD)、扫描电子显微镜(SEM)、透射电子显微镜(TEM)、能量色散x射线能谱(EDS)、差示扫描量热法(DSC)和动态光散射(DLS)等多种分析技术对ZnO纳米粒子进行了合成和表征。所得纳米颗粒为半球形(22 ~ 29 nm),稳定,zeta电位为- 21±2.40 mV。使用人肺癌细胞(A549)和正常肺成纤维细胞(WI-38)评估细胞毒性作用。使用氧化锌NPs单独或联合15 Gy γ-辐射48小时,在A549癌细胞中观察到与正常细胞相比,细胞毒性显著增加。ZnO NPs单用的IC50值为26.78±0.44µg/mL,而ZnO NPs + 15 Gy γ辐射的IC50值为15.97±0.45µg/mL,显著降低了细胞活力。这些结果表明,ZnO NPs与γ-辐射的结合促进了肺癌细胞的凋亡,并显著抑制了肺癌细胞的生长
{"title":"Dual-modality treatment using gamma radiation and ZnO nanoparticles: effects on normal and malignant lung cells.","authors":"Naglaa M Ismail, Soheir Korraa, Amira Abdel Rehim Qotb","doi":"10.1186/s43046-025-00312-z","DOIUrl":"https://doi.org/10.1186/s43046-025-00312-z","url":null,"abstract":"<p><p>This study primarily aims to investigate the effects of gamma (γ) radiation, both independently and in combination with zinc oxide nanoparticles (ZnO NPs), on normal and lung cancer cell lines. Lung cancer continues to be a major cause of cancer-related mortality globally. Radiotherapy is a common way of treating lung cancer. The treatment efficacy of cell death requires a high dosage of focused radiation. Due to their physicochemical properties and potential biological activity, ZnO NPs have emerged as promising candidates in nanomedicine and oncology. In this research, ZnO NPs were synthesized and characterized through various analytical techniques, including X-ray diffraction (XRD), scanning electron microscopy (SEM), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDS), differential scanning calorimetry (DSC), and dynamic light scattering (DLS). The resulting nanoparticles were semi-spherical in shape (22-29 nm), stable, and had a zeta potential of - 21 ± 2.40 mV. The cytotoxic effects were assessed using human lung cancer cells (A549) and normal lung fibroblast cells (WI-38). Treatments involved ZnO NPs alone or combined with 15 Gy of γ-radiation over 48 h. A significant increase in cytotoxicity was observed in A549 cancer cells compared to normal cells. ZnO NPs alone showed moderate anticancer efficacy with an IC50 of 26.78 ± 0.44 µg/mL, whereas ZnO NPs + 15 Gy gamma radiation led to a pronounced reduction in cell viability with an IC50 of 15.97 ± 0.45 µg/mL. These results indicate that the combination of ZnO NPs with γ-radiation enhances apoptosis and significantly suppresses the growth of lung cancer cells (p < 0.001), offering potential for improved therapeutic outcomes in lung cancer radiotherapy.</p>","PeriodicalId":17301,"journal":{"name":"Journal of the Egyptian National Cancer Institute","volume":"37 1","pages":"72"},"PeriodicalIF":1.8,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145345764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comprehensive evaluation of high dose methotrexate therapy: a retrospective observational trial. 大剂量甲氨蝶呤治疗的综合评价:一项回顾性观察性试验。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-10-20 DOI: 10.1186/s43046-025-00324-9
Hadeer Ehab Barakat, Kholood Ashraf El Bahy, Sandy Victor Labib, Yasser Zakaria Aldesouky, Abdelrahman Ayman Ismail, Mohamed El Sayed Mohamed, Febrona Louis Sedky, Asmaa Mohamed Abdelhady, Dalia Hamdy Gaballah, Doha Ashraf Ali, Passant Mohamed Refaat, Hasnaa Al Sayed Mohamed, Ahmed Zayed Mohamed, Salwa Selim Ibrahim, Ayman M Noreddin, Abdel-Moneim M Osman, Esraa M Abdelkeriem, Mohamed M Sayed-Ahmed, Riham M Karkeet

Background: Methotrexate (MTX) is a commonly prescribed drug with both chemotherapeutic and immunosuppressive applications. However, when administered in high doses (HDMTX ≥ 500 mg/m2), it can lead to serious side effects, particularly nephrotoxicity and hepatotoxicity. Although 48-h MTX levels monitoring is fundamental for the evaluation of the risk of these toxicities, the relationship between MTX level and the actual clinical outcomes is not yet fully addressed. This study aims to evaluate the predictors of 48-h serum MTX levels and the toxicity profile associated with patients receiving HDMTX for management of cancer, with a particular focus on nephrotoxicity, hepatotoxicity, length of hospital stay (LOS), antimicrobial use, and 30-day mortality.

Methods: A retrospective cohort study was conducted at the National Cancer Institute, Cairo University. Patients receiving HDMTX as part of their cancer treatment in the period from January 2022 to December 2024 were included. Data collection included patient demographics, administered MTX doses, 48-h serum MTX levels, medical and medication history, antimicrobials used, and recorded adverse effects. The outcome of the study encompassed the identification of predictors for 48-h MTX levels and their association with acute kidney injury (AKI), ICU admission, and LOS. In addition to the associations with hepatotoxicity, antimicrobial usage, and mortality. Statistical analysis was performed using SPSS version 26.0.

Results: Among 143 patients, elevated 48-h MTX levels (≥ 1.28 μmol/L) were associated with pleural effusion (P-value 0.038), patients diagnosed with lymphoma (P-value 0.05), and increased antimicrobial use (P-value < 0.05). A significant association was found between HDMTX and the use of carbapenems, vancomycin and fluoroquinolones (P-value < 0.05). Non-significant relation was found between HDMTX and AKI as well as LOS. Hepatotoxicity was significantly more common in patients with osteosarcoma rather than hematological malignancies, while LOS was shorter in osteosarcoma cases compared to hematological malignancies.

Conclusion: The serum levels of 48-h MTX are vital metrics of toxicity, as they determine the duration of hospitalization, the number of antimicrobials used, and the mortality rate. Thus, it is crucial to monitor these levels to reduce the complications associated with HDMTX usage.

背景:甲氨蝶呤(MTX)是一种常用的处方药物,用于化疗和免疫抑制。然而,当高剂量给药(HDMTX≥500mg /m2)时,可导致严重的副作用,特别是肾毒性和肝毒性。尽管48小时MTX水平监测是评估这些毒性风险的基础,但MTX水平与实际临床结果之间的关系尚未得到充分解决。本研究旨在评估48小时血清MTX水平的预测因子,以及与接受HDMTX治疗的癌症患者相关的毒性概况,特别关注肾毒性、肝毒性、住院时间(LOS)、抗菌药物使用和30天死亡率。方法:在开罗大学国家癌症研究所进行回顾性队列研究。该研究包括在2022年1月至2024年12月期间接受HDMTX作为癌症治疗一部分的患者。收集的数据包括患者人口统计资料、给药MTX剂量、48小时血清MTX水平、病史和用药史、使用的抗菌剂和记录的不良反应。该研究的结果包括确定48小时MTX水平的预测因素及其与急性肾损伤(AKI)、ICU入院和LOS的关系。除了与肝毒性、抗菌素使用和死亡率相关外。采用SPSS 26.0版本进行统计学分析。结果:143例患者中,48小时MTX水平升高(≥1.28 μmol/L)与胸腔积液(p值0.038)、诊断为淋巴瘤(p值0.05)和抗菌药物使用增加相关(p值0.05)。结论:血清48小时MTX水平是毒性的重要指标,因为它决定了住院时间、抗菌药物使用次数和死亡率。因此,监测这些水平以减少与HDMTX使用相关的并发症至关重要。
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引用次数: 0
Predictive radiomics based ensemble machine learning approach in CT lung nodule diagnosis. 基于预测放射组学的集成机器学习方法在CT肺结节诊断中的应用。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-10-13 DOI: 10.1186/s43046-025-00326-7
Arooj Nissar, A H Mir
<p><strong>Background: </strong>Computed tomography imaging, a non-invasive tool, is used around the globe by medical professionals to identify and diagnose lung cancer; a lethal disease with high rates of occurrence and mortality globally. Radiomics extracted from medical images, including computed tomography, in tandem with machine learning frameworks has received considerable focus and research for lung nodule identification.This investigation can help out clinicians to reach radiomics-based better and quicker decision support system for treatments and early diagnosis. However, it is still foggy and unclear which radiomics feature(s) to use for the prediction of pulmonary nodule. Consequently, this work is offered with an endeavor to efficiently apply machine learning techniques and radiomics to classify CT pulmonary nodules.</p><p><strong>Methods: </strong>Lung Image Data Consortium (LIDC), containing 1018 CT cancer cases, is put to use. The Wavelet Packet Transform is used in conjunction with geometrical features, gray level run length matrix, gray level co-occurrence method and gray level difference method techniques to extract radiomics. Two techniques, boosted and bagged ensemble classification trees, are employed to choose an apposite set of features. The categorization of nodules as malignant or benign is assessed by the utilization of cutting-edge machine learning models: Support Vector Machines, Boosted Classification Ensemble Tree, Decision Trees, Bagged Classification Ensemble Tree, RUSBoosted Ensemble Trees, Subspace Discriminant Ensemble and Subspace KNN Ensemble.</p><p><strong>Results: </strong>The findings reveal that the Ensemble Subspace KNN gives best AUROC (93.4%), accuracy (88.3%) and F1-score (85.2%) using BACET feature selection method. The best sensitivity is produced by FGSVM (97.1%). RUSBOCET gives best precision and specificity of 93.4% and 83.1% respectively.</p><p><strong>Conclusion: </strong>Lung Cancer remains the most common and deadly type of cancer. Early detection of lung lesions and nodules is crucial in the fight against lung cancer. The purpose of this study was to investigate radiomics based on geometrical, texture, and Daubechies WPT texture features for quantitative CT image analysis. The LIDC database was used in this study. Geometrical features, texture features based on three statistical methodologies (GLCM, GLDM GLRLM) and Daubechies WPT texture features are retrieved from the nodules. Using the ensemble EFS, BOCET and BACET, pertinent features were identified. Lastly, various cutting-edge ML classifiers were used to classify LC as malignant or benign. The out-turn shows that, using BACET EFS, Ensemble Subspace KNN gives best AUROC (93.4%), accuracy (88.3%) and F1-score (85.2%). FGSVM yields the best sensitivity of 97.1%. RUSBOCET gives best precision and best specificity of 93.4% and 83.1% respectively. Therefore, the methodology can be applied with efficacy to the CT based PN classification. Thus,
背景:计算机断层扫描成像是一种非侵入性工具,在全球范围内被医疗专业人员用于识别和诊断肺癌;一种在全球范围内具有高发病率和高死亡率的致命疾病。从医学图像(包括计算机断层扫描)中提取的放射组学与机器学习框架相结合,在肺结节识别方面受到了相当大的关注和研究。这项研究可以帮助临床医生更好更快地获得基于放射学的治疗和早期诊断决策支持系统。然而,目前仍不清楚哪些放射组学特征可用于预测肺结节。因此,本工作旨在有效地应用机器学习技术和放射组学对CT肺结节进行分类。方法:利用肺影像资料联盟(LIDC)收录的1018例CT肿瘤病例。将小波包变换与几何特征、灰度行程矩阵、灰度共生法和灰度差分法等技术相结合,提取放射组学。采用两种技术,增强和袋装集成分类树,以选择合适的一组特征。利用尖端的机器学习模型来评估结节的恶性或良性分类:支持向量机,增强分类集成树,决策树,袋式分类集成树,rusboosting集成树,子空间判别集成和子空间KNN集成。结果:使用BACET特征选择方法,集成子空间KNN的AUROC(93.4%)、准确率(88.3%)和f1得分(85.2%)最佳。FGSVM的灵敏度最高(97.1%)。RUSBOCET的精密度和特异度分别为93.4%和83.1%。结论:肺癌仍然是最常见和最致命的癌症类型。早期发现肺部病变和结节对于抗击肺癌至关重要。本研究的目的是研究基于几何、纹理和Daubechies WPT纹理特征的放射组学,用于定量CT图像分析。本研究使用LIDC数据库。基于三种统计方法(GLCM、GLDM、GLRLM)提取结节的几何特征、纹理特征和Daubechies WPT纹理特征。使用集成的EFS、BOCET和BACET识别相关特征。最后,使用各种尖端的ML分类器对LC进行恶性或良性分类。结果表明,使用BACET EFS,集成子空间KNN给出了最好的AUROC(93.4%)、准确率(88.3%)和f1分数(85.2%)。FGSVM的灵敏度为97.1%。RUSBOCET的精密度和特异性分别为93.4%和83.1%。因此,该方法可以有效地应用于基于CT的PN分类。因此,该结果可以帮助医疗专业人员做出更好的决策和干预措施。
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引用次数: 0
Pancreatic cancer in the era of precision medicine: challenges, advances, and the future of therapeutic strategies. 精准医疗时代的胰腺癌:挑战、进展和治疗策略的未来。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-10-06 DOI: 10.1186/s43046-025-00323-w
Heslley Machado Silva, Reginaldo Cruz Alves Rosa

Background: Pancreatic cancer stands among the most aggressive and fatal malignancies, with a steadily increasing incidence worldwide. Its clinical significance lies not only in its high mortality rate but also in the challenges associated with its early detection, limited therapeutic efficacy, and substantial impact on healthcare systems. The asymptomatic nature of the disease in its initial stages, combined with the absence of reliable early biomarkers, contributes to frequent late-stage diagnoses, significantly compromising treatment success and patient survival. Furthermore, the biological complexity of pancreatic tumors - often marked by specific genetic mutations and a highly immunosuppressive tumor microenvironment - drives resistance to conventional therapies, exacerbating clinical management difficulties.

Main body: This narrative review offers a comprehensive synthesis of the major therapeutic challenges and recent advances in pancreatic cancer management over the past fifteen years. The main challenges include delayed diagnosis, the presence of treatment-resistant tumor subtypes, and the considerable financial burden of care. Particular attention is given to the tumor microenvironment, which impedes drug delivery and immune system activation due to its dense fibrotic stroma and immunosuppressive cellular composition. The review also explores emerging therapeutic strategies, including combination chemotherapy regimens such as folinic acid, fluorouracil, irinotecan, and oxaliplatin, and advanced radiotherapy techniques that aim to enhance precision while minimizing tissue damage. Furthermore, novel immunotherapeutic approaches - including messenger RNA-based vaccines and engineered cellular therapies - show promising results in stimulating targeted immune responses, although they face substantial barriers due to the tumor's immune evasion mechanisms. Targeted therapies focused on specific genetic alterations, especially those involving KRAS mutations, are also highlighted as potential breakthroughs. The review concludes by emphasizing the relevance of personalized medicine, with biomarker-driven strategies and three-dimensional tumor models offering more tailored and potentially effective interventions.

Conclusion: Despite meaningful progress in the development of innovative therapeutic modalities, pancreatic cancer continues to present profound medical and scientific challenges. Integrating personalized, interdisciplinary approaches and advancing early diagnostic tools remain essential steps toward improving clinical outcomes and extending survival in affected patients. This review underscores the urgent need for continued research to transform current insights into effective and accessible treatment strategies.

背景:胰腺癌是最具侵袭性和致命性的恶性肿瘤之一,在世界范围内发病率稳步上升。其临床意义不仅在于其高死亡率,还在于其早期发现的挑战、有限的治疗效果以及对卫生保健系统的重大影响。该疾病在初始阶段的无症状性,加上缺乏可靠的早期生物标志物,导致频繁的晚期诊断,严重影响治疗成功和患者生存。此外,胰腺肿瘤的生物学复杂性-通常以特定的基因突变和高度免疫抑制的肿瘤微环境为特征-驱动对常规治疗的耐药性,加剧了临床管理的困难。正文:这篇叙述性的综述对过去15年来胰腺癌治疗的主要挑战和最新进展进行了全面的综合。主要挑战包括诊断延迟、存在治疗耐药的肿瘤亚型以及相当大的医疗经济负担。特别关注肿瘤微环境,由于其致密的纤维化基质和免疫抑制细胞组成,阻碍了药物的传递和免疫系统的激活。该综述还探讨了新兴的治疗策略,包括联合化疗方案,如亚叶酸、氟尿嘧啶、伊立替康和奥沙利铂,以及旨在提高精度同时最小化组织损伤的先进放疗技术。此外,新的免疫治疗方法——包括基于信使rna的疫苗和工程细胞疗法——在刺激靶向免疫反应方面显示出有希望的结果,尽管它们面临着肿瘤免疫逃避机制的实质性障碍。针对特定基因改变的靶向治疗,特别是涉及KRAS突变的靶向治疗,也被认为是潜在的突破。该综述最后强调了个性化医疗的相关性,生物标志物驱动的策略和三维肿瘤模型提供了更有针对性和潜在有效的干预措施。结论:尽管在创新治疗方式的发展方面取得了有意义的进展,但胰腺癌仍然面临着深刻的医学和科学挑战。整合个性化、跨学科的方法和推进早期诊断工具仍然是改善临床结果和延长受影响患者生存的重要步骤。这篇综述强调了继续研究的迫切需要,以将目前的见解转化为有效和可获得的治疗策略。
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引用次数: 0
Immune-based cancer therapies: mechanistic insights, clinical progress, and future directions. 基于免疫的癌症治疗:机制见解、临床进展和未来方向。
IF 1.8 Q3 ONCOLOGY Pub Date : 2025-09-29 DOI: 10.1186/s43046-025-00319-6
Mahalakshmi Devaraji, Binoy Varghese Cheriyan

The field of cancer immunotherapy has evolved rapidly, offering new treatment paradigms by harnessing the body's own immune system to target and destroy malignancies. Various immunotherapeutic approaches, including immune checkpoint inhibitors, CAR-T cell therapy, cancer vaccines, cytokine therapies, and oncolytic viruses, have shown significant promise in treating different cancer types. This review provides a comprehensive examination of the historical development and recent advances in cancer immunotherapy. We discuss the mechanisms of action of key immunotherapeutic modalities, along with their clinical applications and innovative delivery techniques. In particular, we focus on immune checkpoint inhibitors, which have revolutionized the treatment of several cancers; CAR-T cell therapy, which has provided transformative results in hematological malignancies; and the potential of cancer vaccines, cytokine therapies, and oncolytic viruses. Additionally, the review addresses the current status of clinical trials and patents in the field, offering insight into the ongoing efforts to optimize these therapies for broader clinical use. Despite the promising results achieved, this review highlights significant challenges, such as immune-mediated toxicity, resistance to treatment, and the need for more effective delivery systems. While cancer immunotherapy has shown great potential in improving patient outcomes, overcoming existing obstacles such as toxicity and resistance remains a major challenge. This review offers a comprehensive overview of the state of cancer immunotherapy while also providing perspectives on its future directions and the ways in which these innovations may impact cancer treatment.

癌症免疫治疗领域发展迅速,通过利用人体自身的免疫系统来靶向和摧毁恶性肿瘤,提供了新的治疗范例。各种免疫治疗方法,包括免疫检查点抑制剂、CAR-T细胞疗法、癌症疫苗、细胞因子疗法和溶瘤病毒,已经在治疗不同类型的癌症方面显示出巨大的希望。本文综述了癌症免疫治疗的历史发展和最新进展。我们讨论了关键免疫治疗方式的作用机制,以及它们的临床应用和创新的给药技术。特别是,我们专注于免疫检查点抑制剂,它已经彻底改变了几种癌症的治疗;CAR-T细胞疗法,为血液恶性肿瘤提供了变革性的结果;以及癌症疫苗、细胞因子疗法和溶瘤病毒的潜力。此外,该综述还介绍了该领域的临床试验和专利的现状,为优化这些疗法以实现更广泛的临床应用提供了深入的见解。尽管取得了令人鼓舞的结果,但本综述强调了重大挑战,如免疫介导的毒性、对治疗的耐药性以及对更有效的给药系统的需求。虽然癌症免疫疗法在改善患者预后方面显示出巨大的潜力,但克服现有的障碍,如毒性和耐药性仍然是一个主要挑战。本文对癌症免疫治疗的现状进行了全面的综述,同时对其未来的发展方向和这些创新可能影响癌症治疗的方式进行了展望。
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引用次数: 0
期刊
Journal of the Egyptian National Cancer Institute
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