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市场调查报告书
商品编码
1389139
全球精准肿瘤学市场趋势与成长机会Global Precision Oncology Market Trends and Growth Opportunities |
官民合作关係增加了精准肿瘤学的取得和普及,增加了综合服务和解决方案的潜力
根据患者的遗传倾向准确识别生物标记相关的过程很复杂,并且依赖参与配对过程的肿瘤学家、决策支援科学家或其他医疗保健专业人员的专业知识和知识。精准肿瘤学旨在为肿瘤学家提供诊断、预后和治疗工具,以根据患者的基因组成製定治疗方案。
获取、储存和处理高品质的生物材料以及透过纵向资料收集有组织的临床资讯是一项挑战。在处理患者资料时,与医疗机构内外的分析平台同意并安全地共用敏感资料是真正的问题。人工智慧、机器学习、机器人和基于巨量资料的多组体学工具等新技术正在促进和提高标靶治疗的准确性和发展。
需要进行广泛的肿瘤分析来识别准确的遗传生物标记和可操作的标靶。准确的诊断对于为患者提供个体化治疗至关重要。确定可以预测患者治疗反应和副作用发生的特定生物标记物,并确定哪些亚群将从特定治疗方法中受益至关重要。这有助于考虑遗传倾向。
精准肿瘤学改变了临床试验的设计,催生了基于精准诊断的测试,例如伞式测试和篮式测试。这些试验根据促癌因素的异常而不是癌症的类型来治疗患者。最新的类型是 N-of-1 试验,通常称为以患者为中心的试验,它评估患者特定的治疗方法组合。
精准肿瘤学涉及仔细监测,以评估肿瘤对治疗的反应,并在预期出现抗药性时改变治疗方法。治疗后也可以透过分子检测来检测抗药性突变。使用血浆循环性肿瘤细胞cDNA 分析进行非侵入性疾病负担监测是革命性的。
这项研究揭示了当前的技术趋势,并强调了为确保更多癌症患者很快就受益于精准肿瘤学所做的多学科努力。它还强调了关键的市场驱动因素和驱动因素、合作伙伴关係以及影响市场成长的当前和未来的市场趋势。产业使用案例可让您快速了解致力于开发精准肿瘤学颠覆性技术和药物的改变游戏规则的参与公司。这项研究根据临床需求、使用案例、商业模式、预防医学、打入市场策略和技术趋势为市场提供了新的成长机会。
Public-private Partnerships Will Propel Access and Adoption of Precision Oncology Enhancing the Potential for Integrated Services and Solutions
The procedure for accurately identifying a biomarker correlation based on a patient's genetic makeup is complex and relies on the expertise and knowledge of an oncologist, decision-support scientist, or other healthcare professional involved in the matching process. Precision oncology aims to provide oncologists with diagnosis, prognosis, and treatment tools to tailor the treatment according to patients' genetic makeup.
Acquiring, storing, and processing high-quality biomaterials and collecting organized clinical information with longitudinal data sets is a challenge. Consent and securely sharing sensitive data with analytical platforms within and outside healthcare organizations are practical problems when dealing with patient data. Emerging technologies such as AI, ML, robotics, and big data-based multi-omics tools are enabling and improving the precision and development of targeted treatments.
Extensive tumor profiling is required for the identification of accurate genetic biomarkers and actionable targets. Accurate diagnosis is crucial for implementing personalized treatment for patients. It is crucial to identify specific biomarkers that can predict both the response to treatment and the occurrence of adverse effects in patients, to determine the subpopulation that would benefit from a particular therapy. This helps to account for genetic predisposition.
Precision oncology has changed clinical trial design, resulting in precision diagnostics-based studies such as umbrella trials and basket trials. These studies treat patients based on their oncogenic driver aberration, not their cancer kind. The most recent type is N-of-1 studies, often called patient-centered trials, which assess patient-specific therapy combinations.
Precision oncology uses careful monitoring to assess tumor response to therapy and change therapeutic actions if drug resistance is anticipated. Post-treatment molecular testing may detect resistance mutations. Noninvasive disease burden monitoring using plasma circulating tumor cell cDNA analysis is a breakthrough.
This study highlights current technological trends and emphasizes the interdisciplinary efforts underway to ensure that a greater number of cancer patients can benefit from precision oncology soon. The study also highlights some of the key market drivers and restraints, partnerships, and present and future market trends that affect the growth of the market. Industry use cases will provide brief insights into some of the game-changing participants who are working toward developing disruptive technologies and drugs for precision oncology. The study will provide emerging growth opportunities for the market based on clinical need, use cases, business models, preventive care, market access strategies, and technology trends.