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Public-private Partnerships Will Propel Access and Adoption of Precision Oncology Enhancing the Potential for Integrated Services and Solutions
15-Nov-2023
Global
Market Research
PF69-01-00-00-00
HC_2023_322
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.
Author: Surbhi Gupta
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on the Global Precision Oncology Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Scope of Analysis
The Global Cancer Burden
Precision Oncology Pathway
Overview of Precision Oncology—From the Patient to the Development of Targeted Therapeutics
Factors Impacting the Advancement of Precision Oncology
Key Trends and Strategies Driving Precision Oncology’s Implementation
Key Trends and Strategies Driving the Implementation of Precision Oncology (continued)
Key Trends and Strategies Driving the Implementation of Precision Oncology (continued)
Key Trends and Strategies Driving the Implementation of Precision Oncology (continued)
Precision Oncology Business Model—PPPs
Precision Oncology Business Model—Strategies by Different Players
Growth Drivers
Growth Restraints
Precision Oncology Vendor Ecosystem
Challenges—R&D
Overview—Targeted Drug Development Process
Precision Oncology Trials
Next-generation Precision Oncology Trials
Potential Advantages of Incorporating Genomic Screening in Clinical Trials
Future Strategies for Precision Oncology R&D
PPP-driven Initiative To Promote Precision Oncology—Omico
A Government-backed Initiative To Promote Precision Oncology Trials—Canadian Precision Oncology Trial Finder
Academic-backed Initiative To Promote Precision Oncology Trials—MatchMiner
Challenges—Precision Diagnostics, Prognosis, and Treatment Selection
Overview—Precision Cancer Screening, Diagnosis, Prognosis, and Treatment Selection
Future Strategies for Precision Diagnostics, Prognosis, and Treatment Selection
Challenges—Monitor and Survivorship Care
Overview—Key Factors Impacting Cancer Survivorship Care
Long-term Care Management for Cancer Survivors
Future Strategies for Cancer Care
Challenges—Omics and Informatics
Advantages of Omics and Informatics
The Omics Pipeline—The Information Flow from Multiomics Platforms
The Application of Multi-omics Analysis in Precision Oncology
The Application of Informatics in Precision Oncology
The Application of AI in Precision Oncology
Roche Group, Switzerland
Industry Use Case and Analyst Perspective
Industry Use Case and Analyst Perspective (continued)
Caris Life Sciences, United States
Industry Use Case and Analyst Perspective
Acrivon Therapeutics, United States
Massive Bio, United States
Industry Use Case and Analyst Perspective
BostonGene, the United States
Industry Use Case and Analyst Perspective
Outcomes4Me, United States
Industry Use Case and Analyst Perspective
Growth Opportunity 1—AI for Treatment Planning and Selection
Growth Opportunity 1—AI for Treatment Planning and Selection (continued)
Growth Opportunity 2—The Increasing Adoption of Theranostics
Growth Opportunity 2—The Increasing Adoption of Theranostics (continued)
Growth Opportunity 3—Integrated Cancer Data Platforms
Growth Opportunity 3—Integrated Cancer Data Platforms (continued)
Growth Opportunity 4—The PPP Model Will Scale Precision Oncology in APAC
Growth Opportunity 4—The PPP Model Will Scale Precision Oncology in APAC (continued)
Growth Opportunity 4—The PPP Model To Scale Precision Oncology APAC (continued)
List of Exhibits
Legal Disclaimer
List of Figures
- Precision Oncology: Growth Drivers, Global, 2024–2028
- Precision Oncology: Growth Restraints, Global, 2024–2028
- Precision Oncology: Industry Focus on Cancer Care, Global, 2023
- Precision Oncology: Integrated Cancer Care Approach, Global, 2023
- Precision Oncology: Omics Technologies, Global, 2023
- Precision Oncology: Omics Technology Applications Across Cancer Pathways, Global, 2023
- Precision Oncology: Oncology Informatics, Global, 2023
- Precision Oncology: AI Applications in Precision Oncology, Global, 2023
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| Deliverable Type | Market Research |
|---|---|
| Author | Surbhi Gupta |
| Industries | Healthcare |
| No Index | No |
| Is Prebook | No |
| Keyword 1 | Precision Oncology Analysis |
| Keyword 2 | Oncology Market Trends |
| Keyword 3 | Precision Oncology Market |
| List of Charts and Figures | Precision Oncology: Growth Drivers, Global, 2024–2028~ Precision Oncology: Growth Restraints, Global, 2024–2028~ Precision Oncology: Industry Focus on Cancer Care, Global, 2023~ Precision Oncology: Integrated Cancer Care Approach, Global, 2023~ Precision Oncology: Omics Technologies, Global, 2023~ Precision Oncology: Omics Technology Applications Across Cancer Pathways, Global, 2023~ Precision Oncology: Oncology Informatics, Global, 2023~ Precision Oncology: AI Applications in Precision Oncology, Global, 2023~ |
| Podcast | No |
| WIP Number | PF69-01-00-00-00 |
Global Precision Oncology Market Trends and Growth Opportunities
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