Published Date : 2023-03-29
Published Date : 2023-03-29
Updated On : 2024-02-13
Pages : 161
Thelansis’s “Epithelial Ovarian Cancer Market Outlook, Epidemiology, Competitive Landscape, and Market Forecast Report – 2023 To 2033" covers disease overview, epidemiology, drug utilization, prescription share analysis, competitive landscape, clinical practice, regulatory landscape, patient share, market uptake, market forecast, and key market insights under the potential Epithelial Ovarian Cancer treatment modalities options for eight major markets (USA, Germany, France, Italy, Spain, UK, Japan, and China).
Epithelial ovarian cancer is a neoplastic disease that originates from the epithelial cells that line the ovary and fallopian tubes. It is the most commonly diagnosed histological subtype of ovarian cancer, with a median age of onset between 60 and 65 years. Women under the age of 30 are rarely diagnosed with epithelial ovarian cancer, with the majority of malignancies in this age group being germ cell tumors. Symptoms of epithelial ovarian cancer are often nonspecific and include abdominal bloating, early satiety, nausea, abdominal distension, change in bowel function, urinary symptoms, back pain, fatigue, and weight loss. These symptoms typically present months before diagnosis and are more common in the advanced stages of the disease. Ovarian epithelial cancer is divided into two groups, type I and type II. Type I tumors are slow-growing and often found at an early stage, while type II tumors are fast-growing and usually found at an advanced stage. Type I tumors include low-grade serous, low-grade endometrioid, clear cell, and mucinous carcinomas. Type II tumors include high-grade serous, high-grade endometrioid, undifferentiated carcinomas, and malignant mixed mesodermal tumors (carcinosarcomas) due to their similar epithelial characteristics. Type I and type II tumors have different molecular and genetic features, with type II tumors having higher TP53 mutation frequency and greater molecular and morphologic homogeneity. Type I tumors, on the other hand, are genetically more stable with a unique pattern of mutations in specific cell types. The standard treatment for advanced epithelial ovarian cancer is primary debulking surgery followed by chemotherapy.
North America- the United States and Canada
Europe- EU5 (Germany, France, Italy, Spain, and the United Kingdom)
Other countries- Japan & China
This section of the study covers country-specific current clinical practice, the standard of care, and significant limitations around addressing the unmet needs. Retrospective analysis and bench-marking of clinical study outcomes are presented in terms of Pre-treatment & post-treatment clinical and demographic patient characteristics. Essentially, this section will cover the evolution of the current competitive landscape and its impact on the future treatment paradigm.
KOLs across 8 MM markets from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs
- Data Inputs with sourcing
- Market Event and Product Event
- Country-specific Forecast Model
- Market uptake and patient share uptake
- Attribute Analysis
- Analog Analysis
- Disease burden and pricing scenario
- Summary and Insights
Optimization of cash flow/ revenue flow concerning all fixed and variable investments throughout the product development process. The rate of return on an investment is a critical indicator to ensure the profitability and break-even of the project.
The competitive landscape includes country-specific approved as well as pipeline therapies. Any asset/product-specific designation or review such as Orphan drug designation, Fast track, Priority Review, Breakthrough Therapy Designation, Rare Pediatric Disease Designation, and Accelerated Approval are tracked and supplemented with analyst commentary.
Detailed clinical trial data analysis and critical product positioning include trial design, primary outcomes, secondary outcomes, dosing and schedules, inclusion and exclusion criteria, recruitment status and essentially covers the reported adverse events. Majorly the trial analysis helps determine the potential of the critical assets and their probable filing and launch date.
This report presents the most important clinical unmet needs in the treatment, according to Thelansis research and analysis. Other essential unmet needs identified through our study include decreased cost burden on patients, improved administration convenience, and improved patient compliance.
S. no | Asset | Company | Stage |
1 | Karenitecin | BioNumerik Pharmaceuticals, Inc. | Phase 3 |
2 | Gleolan | NX Development Corp. | Phase 3 |
3 | Olaparib | AstraZeneca | Phase 3 |
4 | Atezolizumab | Hoffmann-La Roche | Phase 3 |
5 | OTL38 | On Target Laboratories, LLC | Phase 3 |
6 | Mirvetuximab soravtansine | ImmunoGen, Inc. | Phase 3 |
7 | Paclitaxel | NovoCure Ltd. | Phase 3 |
8 | IMP4927 | Impact Therapeutics, Inc. | Phase 3 |
9 | Fluzoparib | Jiangsu HengRui Medicine Co., Ltd. | Phase 3 |
10 | Pamiparib | BeiGene | Phase 3 |
Continued...
KOLs across 8 MM market from the center of Excellence/ Public/ Private hospitals participated in the study. Insights around current treatment landscape, epidemiology, clinical characteristics, future treatment paradigm, and Unmet needs.
COUNTRY | No. Of KOLs |
USA | 17 |
GERMANY | 4 |
UK | 4 |
SPAIN | 3 |
FRANCE | 2 |
ITALY | 3 |
JAPAN | 3 |
CHINA | 4 |
Data Inputs with sourcing, Market Event, Product Event, Country specific Forecast Model, Market uptake and patient share uptake, Attribute Analysis, Analog Analysis, Disease burden, and pricing scenario, Summary, and Insights.
1. Epithelial Ovarian Cancer – Key Findings Summary |
1.1. Clinical findings |
1.1.1. Disease overview |
1.1.2. Therapeutic practices |
1.1.3. Future outlook |
1.2. Commercial findings |
1.2.1. Epithelial Ovarian Cancer market scenario 2023 |
1.2.2. Epithelial Ovarian Cancer market scenario 2028 |
1.2.3. Epithelial Ovarian Cancer market scenario 2033 |
2. Epithelial Ovarian Cancer Overview |
2.1. Disease Introduction |
2.2. Pathophysiology |
2.3. Signs and Symptoms |
2.4. Risk Factors |
2.5. Etiology |
2.6. Classification |
2.7. Pathogenesis |
2.8. Diagnosis |
2.9. Complications |
2.10. Treatment Algorithm |
2.10.1. Treatment in US (guidelines) |
2.10.2. Treatment in EU-5 (guidelines) |
2.10.3. Treatment in Japan (guidelines) |
2.10.4. Treatment in China (guidelines) |
2.11. Treatment Goals for Epithelial Ovarian Cancer |
2.12. Referral Patterns |
2.12.1. Referral Scenario in US |
2.12.2. Referral Scenario in EU-5 |
2.12.3. Referral Scenario in Japan |
2.12.4. Referral Scenario in China |
2.13. Epithelial Ovarian Cancer Prognosis |
2.14. Healthcare burden |
2.14.1. Healthcare burden in US |
2.14.2. Healthcare burden in EU-5 |
2.14.3. Healthcare burden in Japan |
2.14.4. Healthcare burden in China |
2.15. Unmet Needs in Epithelial Ovarian Cancer management |
2.16. Market Opportunity for Epithelial Ovarian Cancer |
2.17. KOL Comments on current and upcoming/expected treatment practices in Epithelial Ovarian Cancer |
3. Epidemiology |
3.1. Epidemiology Overview |
3.2. Epidemiology by Geography |
3.2.1. Epithelial Ovarian Cancer Epidemiology in US (2023-2033) |
3.2.1.1. Incidence of Epithelial Ovarian Cancer |
3.2.1.2. Diagnosed cases |
3.2.1.3. Treatable Patient Pool |
3.2.1.4. Epidemiology Trends |
3.2.2. Epithelial Ovarian Cancer Epidemiology in EU-5 (2023-2033) |
3.2.2.1. Incidence of Epithelial Ovarian Cancer |
3.2.2.2. Diagnosed cases |
3.2.2.3. Treatable Patient Pool |
3.2.2.4. Epidemiology Trends |
3.2.3. Epithelial Ovarian Cancer Epidemiology in Japan (2023-2033) |
3.2.3.1. Incidence of Epithelial Ovarian Cancer |
3.2.3.2. Diagnosed cases |
3.2.3.3. Treatable Patient Pool |
3.2.3.4. Epidemiology Trends |
3.2.4. Epithelial Ovarian Cancer Epidemiology in China (2023-2033) |
3.2.4.1. Incidence of Epithelial Ovarian Cancer |
3.2.4.2. Diagnosed cases |
3.2.4.3. Treatable Patient Pool |
3.2.4.4. Epidemiology Trends |
3.3. Epidemiology Trends (World-wide) |
4. Market Outlook |
4.1. US Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.1.1. Market Progression (Futuristic) |
4.1.2. Market Trends and Expectations |
4.1.2.1. Worst case scenario |
4.1.2.2. Base Case Scenario |
4.1.2.3. Best Case Scenario |
4.1.3. Drivers and Barriers |
4.2. UK Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.2.1. Market Progression (Futuristic) |
4.2.2. Market Trends and Expectations |
4.2.2.1. Worst case scenario |
4.2.2.2. Base Case Scenario |
4.2.2.3. Best Case Scenario |
4.2.3. Drivers and Barriers |
4.3. France Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.3.1. Market Progression (Futuristic) |
4.3.2. Market Trends and Expectations |
4.3.2.1. Worst case scenario |
4.3.2.2. Base Case Scenario |
4.3.2.3. Best Case Scenario |
4.3.3. Drivers and Barriers |
4.4. Germany Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.4.1. Market Progression (Futuristic) |
4.4.2. Market Trends and Expectations |
4.4.2.1. Worst case scenario |
4.4.2.2. Base Case Scenario |
4.4.2.3. Best Case Scenario |
4.4.3. Drivers and Barriers |
4.5. Italy Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.5.1. Market Progression (Futuristic) |
4.5.2. Market Trends and Expectations |
4.5.2.1. Worst case scenario |
4.5.2.2. Base Case Scenario |
4.5.2.3. Best Case Scenario |
4.5.3. Drivers and Barriers |
4.6. Spain Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.6.1. Market Progression (Futuristic) |
4.6.2. Market Trends and Expectations |
4.6.2.1. Worst case scenario |
4.6.2.2. Base Case Scenario |
4.6.2.3. Best Case Scenario |
4.6.3. Drivers and Barriers |
4.7. Japan Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.7.1. Market Progression (Futuristic) |
4.7.2. Market Trends and Expectations |
4.7.2.1. Worst case scenario |
4.7.2.2. Base Case Scenario |
4.7.2.3. Best Case Scenario |
4.7.3. Drivers and Barriers |
4.8. China Epithelial Ovarian Cancer Market Forecast 2023-2033 |
4.8.1. Market Progression (Futuristic) |
4.8.2. Market Trends and Expectations |
4.8.2.1. Worst case scenario |
4.8.2.2. Base Case Scenario |
4.8.2.3. Best Case Scenario |
4.8.3. Drivers and Barriers |
4.9. Key Expected Milestones (world-wide) Impacting the Market |
5. Competitive Landscape |
5.1. Pipeline Therapies Overview |
5.1.1. Phase III Therapies |
5.1.1.1. Current Status |
5.1.1.2. Trial details, results |
5.1.1.3. Approval Timeline |
5.1.1.4. Likelihood of approval |
5.1.1.5. Expected Product Positioning |
5.1.1.2. All other Phase III Therapies ….. |
5.1.1.3. Attribute Analysis of Phase III molecules |
5.1.2. Phase II and Phase I/II Therapies |
5.1.2.1. Current Status |
5.1.2.2. Trial details, results |
5.1.2.3. Approval Timelines |
5.1.3. List of active Pre-clinical Therapies |
5.1.3.1. Status in Epithelial Ovarian Cancer |
5.1.3.2. Company positioning |
5.1.3.2. All other pre-clinical therapies |
5.1.4. List of Inactive/discontinued assets |
5.1.4.1. Business impact of discontinuations on current pipeline |
5.1.5. Potential winners from Epithelial Ovarian Cancer Pipeline |
5.1.5.1. Potential Blockbusters across the pipeline |
6. Regulatory/Approval Scenario |
6.1. Regulatory/Approval Framework in US |
6.1.1. Policy Framework |
6.1.2. Payer Expectations |
6.2. Regulatory/Approval Framework in UK |
6.2.1. Policy Framework |
6.2.2. Payer Expectations |
6.3. Regulatory/Approval Framework in France |
6.3.1. Policy Framework |
6.3.2. Payer Expectations |
6.4. Regulatory/Approval Framework in Germany |
6.4.1. Policy Framework |
6.4.2. Payer Expectations |
6.5. Regulatory/Approval Framework in Italy |
6.5.1. Policy Framework |
6.5.2. Payer Expectations |
6.6. Regulatory/Approval Framework in Spain |
6.6.1. Policy Framework |
6.6.2. Payer Expectations |
6.7. Regulatory/Approval Framework in Japan |
6.7.1. Policy Framework |
6.7.2. Payer Expectations |
6.8. Regulatory/Approval Framework in China |
6.8.1. Policy Framework |
6.8.2. Payer Expectations |
7. Clinical Trial Assessment – Current and Future Paradigm |
7.1. Distribution of Primary Endpoints across trials |
7.2. Distribution of Secondary Endpoints across trials |
7.3. Evolution and acceptance of surrogate endpoints |
7.4. Key Investigator initiated trials |
7.5. Attrition analysis |
7.5.1. Suspended/Discontinued Assets |
7.5.2. Failed Trials, Reasons and Business Impact |
7.5.3. Terminated Trials, Reasons and Business Impact |
7.5.4. Withdrawn Trials, Reasons and Business Impact |
7.6. Trial enrollment scenario and challenges |
7.7. Clinical Trial Guidance (across geographies) |
8. Thelansis Commentary |
8.1. Key Unmet needs in Epithelial Ovarian Cancer |
8.2. Possible Best-case Clinical Trial Strategies |
8.3. Possible Best Case Targeted Product Profile (TPP) |
8.4. Possible Best-case Market positioning strategies |
8.5. Possible Best-case Market Access Strategies |
8.6. Possible Best-case LCM Strategies |
8.7. Overall View on Epithelial Ovarian Cancer Market in Dollar Value |
9. Report Methodology |
9.1. Secondary research |
9.2. Primary research |
9.3. Data collation |
9.4. Insight Generation |
10. About Thelansis |
10.1. Our Capabilities |
10.2. Our Services |
10.3. Our Contacts |
10.4. Disclaimer |