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市場調查報告書
商品編碼
1389139
全球精準腫瘤學市場趨勢與成長機會Global Precision Oncology Market Trends and Growth Opportunities |
官民合作關係增加了精準腫瘤學的取得和普及,增加了綜合服務和解決方案的潛力
根據患者的遺傳傾向準確識別生物標記相關的過程很複雜,並且依賴參與配對過程的腫瘤學家、決策支援科學家或其他醫療保健專業人員的專業知識和知識。精準腫瘤學旨在為腫瘤學家提供診斷、預後和治療工具,以根據患者的基因組成製定治療方案。
獲取、儲存和處理高品質的生物材料以及透過縱向資料收集有組織的臨床資訊是一項挑戰。在處理患者資料時,與醫療機構內外的分析平台同意並安全地共用敏感資料是真正的問題。人工智慧、機器學習、機器人和基於巨量資料的多組體學工具等新技術正在促進和提高標靶治療的準確性和發展。
需要進行廣泛的腫瘤分析來識別準確的遺傳生物標記和可操作的標靶。準確的診斷對於為患者提供個體化治療至關重要。確定可以預測患者治療反應和副作用發生的特定生物標記物,並確定哪些亞群將從特定治療方法中受益至關重要。這有助於考慮遺傳傾向。
精準腫瘤學改變了臨床試驗的設計,催生了基於精準診斷的測試,例如傘式測試和籃式測試。這些試驗根據促癌因素的異常而不是癌症的類型來治療患者。最新的類型是 N-of-1 試驗,通常稱為以患者為中心的試驗,它評估患者特定的治療方法組合。
精準腫瘤學涉及仔細監測,以評估腫瘤對治療的反應,並在預期出現抗藥性時改變治療方法。治療後也可以透過分子檢測來檢測抗藥性突變。使用血漿循環性腫瘤細胞cDNA 分析進行非侵入性疾病負擔監測是革命性的。
這項研究揭示了當前的技術趨勢,並強調了為確保更多癌症患者很快就受益於精準腫瘤學所做的多學科努力。它還強調了關鍵的市場促進因素和促進因素、合作夥伴關係以及影響市場成長的當前和未來的市場趨勢。產業使用案例可讓您快速了解致力於開發精準腫瘤學顛覆性技術和藥物的改變遊戲規則的參與公司。這項研究根據臨床需求、使用案例、商業模式、預防醫學、打入市場策略和技術趨勢為市場提供了新的成長機會。
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.