Tumor-educated platelets in lung cancer

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY
Md Sadique Hussain , Ehssan Moglad , Ahsas Goyal , M.M. Rekha , Girish Chandra Sharma , Karthikeyan Jayabalan , Samir Sahoo , Anita Devi , Kavita Goyal , Gaurav Gupta , Moyad Shahwan , Sami I. Alzarea , Imran Kazmi
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Abstract

Non-invasive diagnostic monitoring techniques have become essential for treating lung cancer (LC), which continues to be the primary cause of cancer-related death worldwide. The new diagnostic biomarkers called tumour-educated platelets (TEPs) show strong prospects for providing vital information about tumor biology, tumor spread pathways, and treatment reaction patterns. Despite lacking a nucleus, platelets exhibit an active RNA profile that develops through interactions with tumor-derived compounds and the tumor microenvironments (TME). This review explains platelet-tumour interaction regulatory mechanisms while focusing on platelet contributions toward cancer development, immune system avoidance, and blood clot formation. The detection and classification of LC show promise through the analysis of RNA molecules extracted from platelets that encompass mRNAs and non-coding RNAs. RNA sequencing technology based on TEP demonstrates excellent diagnostic power by correctly identifying LC patients alongside their oncogenic alterations of EGFR, KRAS, and ALK. Treatment predictions have proven successful using platelet RNA profiles, specifically in immunotherapy and targeted therapy. Integrating next-generation sequencing with machine learning and artificial intelligence enhances TEP-based diagnostic tools, improving detection accuracy. Standardizing platelet extraction methods and vesicle purification from tumor material needs better development for effective and affordable clinical use. Future investigations should combine TEPs with circulating tumor DNA and exosomal RNA markers to enhance both earliest-stage LC diagnosis and patient-specific therapeutic approaches. TEPs introduce a groundbreaking technique in oncology since they can transform non-invasive medical diagnostics and therapeutic monitoring for cancer.
肺癌中的肿瘤诱导血小板
非侵入性诊断监测技术已成为治疗肺癌(LC)的必要手段,肺癌仍然是世界范围内癌症相关死亡的主要原因。新的诊断性生物标志物称为肿瘤诱导血小板(TEPs),在提供有关肿瘤生物学、肿瘤扩散途径和治疗反应模式的重要信息方面显示出强大的前景。尽管缺乏细胞核,但血小板通过与肿瘤衍生化合物和肿瘤微环境(TME)的相互作用表现出活跃的RNA谱。这篇综述解释了血小板-肿瘤相互作用的调节机制,同时重点关注血小板在癌症发展、免疫系统避免和血凝块形成中的作用。通过分析从血小板中提取的RNA分子,包括mrna和非编码RNA, LC的检测和分类显示出希望。基于TEP的RNA测序技术通过正确识别LC患者及其EGFR、KRAS和ALK的致癌改变显示出出色的诊断能力。利用血小板RNA谱预测治疗已被证明是成功的,特别是在免疫治疗和靶向治疗中。将下一代测序与机器学习和人工智能相结合,增强了基于tep的诊断工具,提高了检测准确性。标准化的血小板提取方法和肿瘤材料的囊泡纯化需要更好的发展,以有效和负担得起的临床应用。未来的研究应将TEPs与循环肿瘤DNA和外泌体RNA标记结合起来,以增强早期LC诊断和患者特异性治疗方法。tep引入了肿瘤学领域的一项突破性技术,因为它们可以改变癌症的非侵入性医学诊断和治疗监测。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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