肿瘤缺氧传感器:口腔癌液体活检的最新技术

Sidhanti Nyahatkar, Divya Mirgh, Raman Muthusamy, Ketki Kalele
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引用次数: 0

摘要

口腔鳞状细胞癌(OSCC)是全球十大癌症之一,死亡率很高。通过筛查计划及早发现至关重要。口腔医疗服务有限,尤其是在中低收入国家,延误了诊断,影响了存活率。OSCC 表现出快速、无限制的生长,导致经常出现组织缺氧区域。这些缺氧区域会导致癌症进展,并对化疗、放疗和免疫疗法等治疗产生抗药性。它们还会导致血管形成障碍,并促使细胞通过上皮细胞向间质细胞的转化而移动和转移,最终导致不良后果。90%的实体瘤都存在缺氧现象,因此缺氧是癌症的标志之一。由于组织间的氧含量不同、肿瘤大小不一、测量技术各异、组织氧饱和度波动剧烈,即使在同一器官内,评估肿瘤缺氧情况也十分复杂。缺氧常见于实体瘤,表示组织含氧量低(4-9%),在前列腺癌、宫颈癌、乳腺癌、头颈癌等癌症中预后不良。恶性实体瘤的氧含量通常低于其原发组织。复发性肿瘤的缺氧程度往往高于原发肿瘤。6 肿瘤缺氧的早期检测至关重要,可指导有针对性的治疗以提高疗效。6 肿瘤缺氧的早期检测至关重要,可指导有针对性的治疗以提高疗效。及时发现缺氧可使靶向疗法解决与缺氧相关的侵袭性问题,从而有可能遏制肿瘤进展,改善患者预后。极谱氧电极是准确性的黄金标准,但仍具有侵入性,不适合临床使用。正电子发射断层扫描(PET)可提供非侵入性的详细成像,但空间分辨率较低。尽管使用 18F-FDG 或 18F-FMISO 等放射性示踪剂探针可提高 PET 的灵敏度,但空间限制依然存在。免疫荧光和免疫组化方法可通过蛋白质表达间接评估缺氧情况,但仅限于体外组织评估。8-10 当前的癌症研究表明,外泌体(细胞外囊泡的一个亚群)是口腔癌缺氧肿瘤微环境的信使。13 目前急需一种经批准的诊断工具来评估癌症缺氧情况,这种工具将有助于以缺氧为重点的个性化疗法,从而改善治疗效果。评估肿瘤缺氧对肿瘤学家、外科医生和开发此类疗法的公司都很有价值。计算机视觉筛查循环肿瘤细胞(CTC)中的缺氧情况等创新技术是最前沿的,可以彻底改变癌症预后和疗法,从而提高治疗的精确性和有效性。虽然组织活检是临床诊断的黄金标准,但它的侵入性、成本和在捕捉肿瘤内部基因变异及其转移潜力方面的局限性带来了挑战。生物传感器缺氧探测器成为一种有吸引力的替代方法,尤其是在长期管理和预后方面。收集血液和唾液等易于获取的生物样本进行早期检测,使这种生物传感器成为一种有吸引力的选择。利用计算机视觉对 CTC 中的生物传感器进行缺氧筛查,提供了简化、经济高效的诊断方法,提高了诊断的准确性,推动了癌症治疗的发展。这种方法简化了筛查,提高了精确度,降低了医疗费用,彻底改变了个性化治疗方法。通过生物传感器和计算机视觉来筛查 CTC 中的缺氧,简化了转化工作,使医疗保健中心能够获得这种方法并方便患者使用。它有助于个性化治疗计划的制定,支持临床试验中的缺氧靶向疗法,并有助于根据癌症患者的缺氧状态对其进行精准医疗干预。Sidhanti Nyahatkar-撰稿;Divya Mirgh-撰稿;Raman Muthusamy-审稿;Ketki Kalele-最终审稿和编辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tumour hypoxia sensor: A state of the art in oral cancer liquid biopsy

Oral squamous cell carcinoma (OSCC) is a top 10 global cancer with high mortality rates. Early detection via screening programs is crucial. Limited access to oral healthcare, especially in low- and middle-income countries, delays diagnoses, impacting survival rates. OSCCs exhibit rapid, unrestricted growth, leading to frequent hypoxic tissue regions. These hypoxic regions drive towards cancer progression and resistance to treatments like chemotherapy, radiotherapy, and immunotherapy. They also lead to dysfunctional blood vessel formation and encourage cells to become mobile and metastatic through epithelial-to-mesenchymal transition, ultimately leading to unfavourable outcomes. As hypoxia is found in 90% of solid tumours, it stands as a cancer hallmark. Assessing tumour hypoxia is complex due to varying oxygen levels among tissues, diverse tumour sizes, measurement techniques, and highly fluctuating tissue oxygenation, even within the same organ.1, 2 Cancer cells, with heightened proliferation and metabolism, demand substantial energy, but oxygen shortages exacerbate their hypoxic regions, altering metabolism. Hypoxia, common in solid tumours, indicates low tissue oxygenation (4−9%) and signifies poor prognosis in cancers like prostate, cervix, breast, and head and neck cancers.3, 4 Hypoxia prevalence varies by cancer type, generally affecting 30−60% of early-stage tumours.5 These percentages fluctuate based on tumour type, patient traits and assessment methods. Malignant solid tumours commonly experience lower oxygen levels than their tissue of origin. Recurrent tumours often display a higher hypoxic fraction than primaries.6 Early detection of hypoxia in cancer is pivotal, guiding tailored treatments for enhanced efficacy. Identifying it promptly allows targeted therapies to address hypoxia-related aggressiveness, potentially curbing tumour progression and bettering patient outcomes.7 While various methods detect tumour hypoxia, each bears limitations. Polarographic oxygen electrodes, the gold standard for accuracy, remain invasive and impractical for clinical use. Positron emission tomography (PET) offers non-invasive, detailed imaging but suffers from lower spatial resolution. Despite PET's sensitivity using radiotracer probes like 18F-FDG or 18F-FMISO, spatial limitations persist. Immunofluorescence and immunohistochemical methods indirectly assess hypoxia through protein expression but are confined to in vitro tissue evaluation. These techniques, though informative, are either invasive, limited in resolution, or confined to laboratory settings, hampering their widespread clinical utility.8-10 Current cancer research indicates that exosomes (a subpopulation of extracellular vesicles) is a messenger of the hypoxic tumour microenvironment in oral cancer.11, 12 Exosome-based cancer sensors are also a smart initiative for precision cancer screening.13 An approved diagnostic tool is urgently needed to assess cancer hypoxia. This tool would aid in personalized hypoxia-focused therapies, improving outcomes. Evaluating tumour hypoxia is valuable for oncologists, surgeons and companies developing such treatments. Innovations like computer vision screening of hypoxia in circulating tumour cells (CTCs) are cutting-edge and could revolutionize cancer prognosis and therapies, potentially enhancing treatment precision and effectiveness. While tissue biopsy is the clinical gold standard for diagnostics, its invasiveness, cost, and limitations in capturing genetic variations within tumours as well as it's metastatic potenstial pose challenges. Biosensor hypoxia detectors emerge as an attractive alternative, particularly for long-term management and prognostication. Collecting easily accessible biological samples such as blood and saliva for early detection makes biosensors like this an appealing choice. Screening hypoxia with biosensors in CTCs via computer vision offers streamlined, cost-effective diagnostics with heightened accuracy, advancing cancer care. This method simplifies screening, improves precision and reduces healthcare expenses, revolutionizing personalized treatment approaches. Screening hypoxia in CTCs through biosensors and computer vision streamlines translational efforts, making it accessible and patient-friendly at healthcare centres.

Using biosensors and computer vision to screen hypoxia in CTCs benefits various healthcare settings, including hospitals, specialized cancer centres, research institutions and diagnostic labs. It aids in personalized treatment planning, supports hypoxia-targeted therapies in clinical trials, and facilitates precision medicine interventions for cancer patients based on their hypoxia status.

Sidhanti Nyahatkar-Manuscript writing; Divya Mirgh-Manuscript writing; Raman Muthusamy-Reviewing; Ketki Kalele-Final Reviewing and Editing.

The authors of this article declare no conflict of interest.

There is no funding for this study.

Not Applicable.

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