12 datasets found
  1. Brain cancer cases in England 2022, by age and gender

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Brain cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312785/brain-cancer-cases-england-age/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2022
    Area covered
    United Kingdom
    Description

    This statistic shows the amount of registrations of newly diagnosed cases of brain cancer in England in 2022, by age group. In this year, 334 new cases were reported among men aged 70 to 74 years of age, and 240 cases among women in this age group.

  2. Brain cancer cases rate per 100,000 population in England 1995-2021, by...

    • statista.com
    Updated Jun 4, 2024
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    Statista (2024). Brain cancer cases rate per 100,000 population in England 1995-2021, by gender [Dataset]. https://www.statista.com/statistics/313137/brain-present-past-cancer-cases-rate-england-gender/
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    Dataset updated
    Jun 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England, United Kingdom
    Description

    In 2021, 10 males and 6.3 females per 100,000 population in England were registered as newly diagnosed with brain cancer. Compared to the previous year, a slight increase in the newly diagnosed thyroid cancer rates was seen for male individuals, while the female diagnose rate remained stable. This statistic shows the rate of newly diagnosed cases of brain cancer per 100,000 population in England from 1995 to 2021, by gender.

  3. Newly diagnosed brain cancer in England 1995-2022, by gender

    • statista.com
    Updated Nov 15, 2024
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    Statista (2024). Newly diagnosed brain cancer in England 1995-2022, by gender [Dataset]. https://www.statista.com/statistics/313215/registration-of-newly-diagnosed-brain-cancer-england-gender/
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    Dataset updated
    Nov 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    England, United Kingdom
    Description

    This statistic shows the registrations of newly diagnosed cases of brain cancer in England from 1995 to 2022, by gender. In 2022, 2,806 men and 2,004 women were diagnosed with brain cancer in England.

  4. Brain Tumor Diagnostics Market Analysis North America, Europe, Asia, Rest of...

    • technavio.com
    Updated Nov 19, 2024
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    Technavio (2024). Brain Tumor Diagnostics Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, Germany, UK, China, Japan, France, Canada, Mexico, India, South Africa - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/brain-tumor-diagnostics-market-industry-analysis
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    Dataset updated
    Nov 19, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Mexico, South Africa, France, Germany, Canada, United Kingdom, United States, Global
    Description

    Snapshot img

    Brain Tumor Diagnostics Market Size 2024-2028

    The brain tumor diagnostics market size is forecast to increase by USD 152.9 million at a CAGR of 3.4% between 2023 and 2028.

    Brain tumor diagnostics is a critical area of medical research and healthcare, with a significant focus on improving patient outcomes for those diagnosed with gliomas and other types of brain cancers. The market for brain tumor diagnostics is experiencing notable growth due to several factors, including the increasing prevalence of brain cancer, advancements in diagnostic procedures, and ongoing research and development in this field. However, challenges persist, such as unfavorable reimbursement scenarios and the need for more effective treatment modalities like chemotherapy and radiotherapy to improve patient survival rates. Hospitals and diagnostic centers are crucial in providing accurate and timely diagnoses, ensuring that patients receive the best possible care. As the demand for advanced diagnostic tools and techniques continues to grow, it is essential to address these challenges and work towards improving patient outcomes and advancing the field of brain tumor diagnostics.
    

    What will be the Size of the Market During the Forecast Period?

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    The market represents a significant area of growth in the healthcare industry, driven by the increasing prevalence of neurological disorders, including brain cancer. According to the American Brain Tumor Association, an estimated 80,000 Americans are diagnosed with a primary brain tumor each year. Early detection and accurate diagnosis of brain tumors, such as malignant glioblastoma, are crucial for improving patient survival rates and effective treatment. Advanced diagnostic solutions are increasingly being adopted for brain tumor diagnostics. These solutions include non-invasive techniques, such as magnetic resonance imaging (MRI), which provides detailed images of the brain and can help identify tumors. Imaging investigations, such as MRIs, play a vital role in diagnosing brain tumors, allowing medical professionals to assess the size, location, and extent of the tumor. Screening programs are also being implemented to increase the early detection of brain tumors. These programs often involve a combination of diagnostic procedures, including neurological evaluations, blood tests, genetic testing, and biopsies. 
    
    
    
    Brain tumors, including malignant glioblastoma, can be challenging to diagnose due to their non-specific symptoms and the difficulty of accessing brain tissue for biopsy. However, advancements in diagnostic tools and techniques are helping to improve the accuracy and speed of brain tumor diagnoses. These advancements include the development of more sensitive imaging technologies and the integration of artificial intelligence and machine learning algorithms into diagnostic procedures. In conclusion, the market is a critical area of growth in the healthcare industry, driven by the increasing prevalence of neurological disorders and the need for accurate and early diagnosis of brain tumors. Advanced diagnostic solutions, such as non-invasive imaging technologies and screening programs, are playing an increasingly important role in the detection and identification of brain tumors. Effective treatment regimens, including chemotherapy and radiotherapy, rely on accurate and timely diagnoses, making the continued advancement of brain tumor diagnostics a priority for improving patient outcomes.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      Imaging test
      Biopsy
      Molecular testing
      Others
    
    
    Geography
    
      North America
    
        Canada
        Mexico
        US
    
    
      Europe
    
        Germany
        UK
        France
    
    
      Asia
    
        China
        India
        Japan
    
    
      Rest of World (ROW)
    

    By Type Insights

    The imaging test segment is estimated to witness significant growth during the forecast period.
    

    Brain tumors are a significant health concern, and timely and accurate diagnosis is crucial for effective treatment. Medical tools play a vital role in the diagnosis of brain tumors, with various methods being employed. Imaging investigations, such as Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) scans, are commonly used to identify tumors. Biopsies, which involve extracting tissue samples from the tumor for further examination, are also essential for determining the type and severity of the tumor.

    Furthermore, blood tests and genetic testing are other diagnostic methods that are gaining popularity. Neurological evaluations, which assess the function of the nervous system, are also used to diagnose brain tumors. The choice of diagnostic method depe

  5. d

    [MI] Detailed Cancer Statistics from Get Data Out

    • digital.nhs.uk
    Updated Jun 1, 2023
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    [MI] Detailed Cancer Statistics from Get Data Out [Dataset]. https://digital.nhs.uk/data-and-information/publications/statistical/mi-detailed-cancer-statistics-from-get-data-out
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    Dataset updated
    Jun 1, 2023
    License

    https://digital.nhs.uk/about-nhs-digital/terms-and-conditionshttps://digital.nhs.uk/about-nhs-digital/terms-and-conditions

    Time period covered
    Jan 1, 2013 - Dec 31, 2019
    Description

    The Get Data Out programme from the National Disease Registration Service publishes detailed statistics about small groups of cancer patients in a way that ensures patient anonymity is maintained. The Get Data Out programme currently covers 15 cancer sites. This data release is a corrected re-release of detailed statistics for 2013-2019 treatment data. The correction means that surgery counts are no longer slightly underreported. There are some small changes in group sizes of usually no more than 2%, although this is larger for non-melanoma skin cancers. The 15 cancer sites now covered by Get Data Out are: ‘Bladder, Urethra, Renal Pelvis and Ureter’, ‘Bone cancer’, ‘Brain, meningeal and other primary CNS tumours’, ‘Eye cancer’, ‘Head and neck’, ‘Kaposi sarcoma’, ‘Kidney’, ‘Oesophageal and Stomach’, ‘Ovary, fallopian tube and primary peritoneal carcinomas’, ‘Pancreas’, ‘Prostate’, ‘Sarcoma’, ‘Skin tumours’, ‘Soft tissue and peripheral nerve cancer’, ‘Testicular tumours including post-pubertal teratomas’. Anonymisation standards are designed into the data by aggregation at the outset. Patients diagnosed with a certain type of tumour are divided into many smaller groups, each of which contains approximately 100 patients with the same characteristics. These groups are aimed to be clinically meaningful and differ across cancer sites. For each group of patients, Get Data Out routinely publish statistics about incidence, routes to diagnosis, treatments and survival. All releases and documentation are available on the Get Data Out main technical page. Before using the data, we recommend that you read the guide for first time users. The data is available in an open format for anyone to access and use. We hope that by releasing anonymous detailed data like this we can help researchers, the public and patients themselves discover more about cancer. If you have feedback or any other queries about Get Data Out, please email us at NDRSenquires@nhs.net and mention 'Get Data Out' in your email.

  6. Brain cancer mortality per incidence ratio in England 2016, by region and...

    • statista.com
    Updated Nov 30, 2023
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    Statista (2023). Brain cancer mortality per incidence ratio in England 2016, by region and gender [Dataset]. https://www.statista.com/statistics/313042/brain-cancer-mortality-cases-rate-england-region-gender/
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    Dataset updated
    Nov 30, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2016
    Area covered
    England, United Kingdom
    Description

    This statistic shows the rate of mortality to brain cancer incidence in England in 2016, by region and gender. Cancer of the brain occurs when cells within the brain begin to grow abnormally. In the East Midlands of England in this year, 91 percent of males and 85 percent of females who were diagnosed died as a result of cancer of the brain, this was the highest recorded rate among males.

  7. Glioblastoma Multiforme Treatment Market Analysis North America, Europe,...

    • technavio.com
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    Technavio, Glioblastoma Multiforme Treatment Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, Germany, Canada, China, UK - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/glioblastoma-multiforme-treatment-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Canada, United States, United Kingdom, Global
    Description

    Snapshot img

    Glioblastoma Multiforme Treatment Market Size 2024-2028

    The glioblastoma multiforme treatment market size is forecast to increase by USD 1.36 billion at a CAGR of 8.2% between 2023 and 2028.

    The glioblastoma multiforme (GBM) treatment market is experiencing significant growth due to the rising incidence of this aggressive brain cancer and increasing research and development activities In the healthcare sector. According to the American Brain Tumor Association's Cancer Observatory, GBM accounts for approximately 15% of all primary brain tumors and is the most common malignant brain tumor in adults. Current treatment options include surgery, targeted therapy, and chemotherapy. Surgery remains the primary treatment modality for GBM, with various options such as awake craniotomy and awake craniotomy with intraoperative monitoring. This includes various strategies such as checkpoint inhibitors, monoclonal antibodies, and gene therapy. However, these procedures come with adverse effects such as cognitive impairment and motor deficits. Targeted therapies, such as temozolomide, are used in conjunction with surgery and chemotherapy to improve patient outcomes. The pharmaceutical supply chain plays a crucial role in ensuring the timely availability of these treatments to patients. Despite advancements in treatment options, the high mortality rate associated with GBM necessitates continued research and development efforts to improve patient outcomes and quality of life.
    

    What will be the Size of the Glioblastoma Multiforme Treatment Market During the Forecast Period?

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    Glioblastoma multiforme (GBM), a malignant tumor of the central nervous system (CNS), is a significant health concern worldwide. According to the Global Cancer Observatory, CNS cancers accounted for approximately 2.3% of all cancer diagnoses and 2.5% of cancer deaths in 2020. This article provides an overview of the current treatment landscape for GBM, focusing on surgical, radiation, chemotherapy, targeted therapy, immunotherapy, and emerging novel therapies. Surgery is the primary treatment modality for GBM, with the primary goal being to remove as much of the tumor as possible while minimizing damage to healthy brain tissue. Ambulatory surgical centers and hospitals offer various surgical procedures, including craniotomy and awake craniotomy. Following surgery, patients typically undergo radiation therapy to target any remaining cancer cells. External beam radiation therapy (EBRT) is the most common approach, delivering high-energy radiation to the tumor site. Chemotherapy is often used in combination with radiation therapy to enhance the therapeutic effect.
    Moreover, temozolomide, a chemotherapeutic agent, is the most widely used drug for GBM treatment. Corticosteroids, such as dexamethasone, are also frequently administered to reduce swelling and improve symptoms. Targeted therapies, such as bevacizumab, are designed to specifically target the molecular mechanisms of GBM. These therapies inhibit the growth and spread of cancer cells by blocking the action of specific proteins. Moreover, combination Therapies: Combination therapies, which involve the use of multiple treatment modalities, are increasingly being explored to improve treatment outcomes for GBM. For example, the combination of temozolomide and radiation therapy has been shown to improve survival rates compared to monotherapy. Immunotherapy: Immunotherapy, which harnesses the power of the immune system to fight cancer, is an emerging treatment approach for GBM. Personalized Medicine: The heterogeneity of GBM necessitates personalized treatment approaches.
    Thus, drug classes and treatment procedures are being tailored to individual patients based on their unique tumor characteristics, such as genetic mutations and protein expression profiles. The treatment market for GBM is continually evolving, with a focus on developing novel therapies and combination strategies to improve patient outcomes. The pharmaceutical supply chain plays a crucial role in ensuring the availability and accessibility of these treatments. As the understanding of GBM biology deepens, so too will the range and effectiveness of treatment options.
    

    How is this Glioblastoma Multiforme Treatment Industry segmented and which is the largest segment?

    The glioblastoma multiforme treatment industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    End-user
    
      Hospitals
      Clinics
      Ambulatory surgical centers
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      Asia
    
        China
    
    
      Rest of World (ROW)
    

    By End-user Insights

    The hospitals segment is estimated to witness significant growth during the forecast period.
    
  8. e

    Transcription profiling of human breast cancer brain metastases in a mouse...

    • ebi.ac.uk
    Updated Oct 26, 2009
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    Sean Davis (2009). Transcription profiling of human breast cancer brain metastases in a mouse xenograft model with vehicle of vorinostat treatment [Dataset]. https://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-18544
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    Dataset updated
    Oct 26, 2009
    Authors
    Sean Davis
    Description

    Gene Expression Profiling of a Mouse Xenograft Model of â??Triple-Negativeâ?? Breast Cancer Brain Metastases With and Without Vorinostat Treatment. Purpose: As chemotherapy and molecular therapy improve the systemic survival of breast cancer patients, the incidence of brain metastases increases. Few therapeutic strategies exist for the treatment of brain metastases because the blood-brain barrier severely limits drug access. We report the pharmacokinetic, efficacy, and mechanism of action studies for the histone deactylase inhibitor vorinostat (suberoylanilide hydroxamic acid) in a preclinical model of brain metastasis of triple-negative breast cancer. Experimental Design: The 231-BR brain trophic subline of the MDA-MB-231 human breast cancer cell line was injected into immunocompromised mice for pharmacokinetic and metastasis studies. Pharmacodynamic studies compared histone acetylation, apoptosis, proliferation, and DNA damage in vitro and in vivo. Results: Following systemic administration, uptake of [14C]vorinostat was significant into normal rodent brain and accumulation was up to 3-fold higher in a proportion of metastases formed by 231-BR cells. Vorinostat prevented the development of 231-BR micrometastases by 28% (P = 0.017) and large metastases by 62% (P < 0.0001) compared with vehicle-treated mice when treatment was initiated on day 3 post-injection. The inhibitory activity of vorinostat as a single agent was linked to a novel function in vivo: induction of DNA double-strand breaks associated with the down-regulation of the DNA repair gene Rad52. Conclusions: We report the first preclinical data for the prevention of brain metastasis of triple-negative breast cancer. Vorinostat is brain permeable and can prevent the formation of brain metastases by 62%. Its mechanism of action involves the induction of DNA double-strand breaks, suggesting rational combinations with DNA active drugs or radiation. Experiment Overall Design: We performed gene expression profiling on metastases from vehicle- or vorinostat-treated mice to determine if alterations in gene expression were observable that were consistent with the phenotypes observed. Brain metastases from five vehicle-treated mice and six 150 mg/kg vorinostat-treated mice were procured by laser capture microdissection. RNA was extracted from the captured tumor cells from each brain and two rounds of linear amplification was done. The amplified RNA from each mouse was processed separately through microarray hybridization and analysis.

  9. e

    Transcription profiling of human breast cancer metastasis to the brain to...

    • ebi.ac.uk
    Updated May 15, 2009
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    Paula Bos (2009). Transcription profiling of human breast cancer metastasis to the brain to identify genes involved [Dataset]. https://www.ebi.ac.uk/biostudies/arrayexpress/studies/E-GEOD-12237
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    Dataset updated
    May 15, 2009
    Authors
    Paula Bos
    Description

    Brain metastasis is one of the most feared complications of cancer and the most common intracranial malignancy in adults. Its underlying mechanisms remain unknown. From breast cancer patients with metastatic disease we isolated cell populations that aggressively colonize the brain. Transcriptomic analysis of these cells yielded overlapping gene sets whose expression is selectively associated with brain metastasis. The expression of seventeen of these genes in primary breast tumors is associated with brain relapse in breast cancer patients. Some of these genes are also associated with metastasis to lung but not to liver, bone or lymph nodes, providing a molecular basis for the long-observed clinical link between brain and lung metastasis. Among the functionally validated brain metastasis genes, the cyclooxygenase COX-2, the EGFR ligand HB-EGF, and the brain-specific α2-6 sialyltransferase ST6GALNAC5 mediate cancer cell passage through the blood-brain barrier. Other brain metastasis genes encode inflammatory factors and brain-specific proteolytic regulators, suggesting a multifaceted program for breast cancer colonization of the brain. Experiment Overall Design: Two different breast cancer cell lines, MDA-MB-231 and freshly isolated pleural effusion CN34 were used in this study. The MDA-MB-231 group contains three biological replicates of the parental, unselected population, and 4 brain metastatic isolates. CN34 contains 2 biological replicates of the parental, unselected population, and 4 brain metastatic isolates. In each case, the parental population was compared to the brain metastatic isolates to identify gene expression changes associated with the brain metastatic phenotype.

  10. f

    Table_1_Construction of machine learning-based models for cancer outcomes in...

    • frontiersin.figshare.com
    docx
    Updated Jun 21, 2023
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    John Adeoye; Abdulwarith Akinshipo; Mohamad Koohi-Moghadam; Peter Thomson; Yu-Xiong Su (2023). Table_1_Construction of machine learning-based models for cancer outcomes in low and lower-middle income countries: A scoping review.docx [Dataset]. http://doi.org/10.3389/fonc.2022.976168.s001
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    docxAvailable download formats
    Dataset updated
    Jun 21, 2023
    Dataset provided by
    Frontiers
    Authors
    John Adeoye; Abdulwarith Akinshipo; Mohamad Koohi-Moghadam; Peter Thomson; Yu-Xiong Su
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    BackgroundThe impact and utility of machine learning (ML)-based prediction tools for cancer outcomes including assistive diagnosis, risk stratification, and adjunctive decision-making have been largely described and realized in the high income and upper-middle-income countries. However, statistical projections have estimated higher cancer incidence and mortality risks in low and lower-middle-income countries (LLMICs). Therefore, this review aimed to evaluate the utilization, model construction methods, and degree of implementation of ML-based models for cancer outcomes in LLMICs.MethodsPubMed/Medline, Scopus, and Web of Science databases were searched and articles describing the use of ML-based models for cancer among local populations in LLMICs between 2002 and 2022 were included. A total of 140 articles from 22,516 citations that met the eligibility criteria were included in this study.ResultsML-based models from LLMICs were often based on traditional ML algorithms than deep or deep hybrid learning. We found that the construction of ML-based models was skewed to particular LLMICs such as India, Iran, Pakistan, and Egypt with a paucity of applications in sub-Saharan Africa. Moreover, models for breast, head and neck, and brain cancer outcomes were frequently explored. Many models were deemed suboptimal according to the Prediction model Risk of Bias Assessment tool (PROBAST) due to sample size constraints and technical flaws in ML modeling even though their performance accuracy ranged from 0.65 to 1.00. While the development and internal validation were described for all models included (n=137), only 4.4% (6/137) have been validated in independent cohorts and 0.7% (1/137) have been assessed for clinical impact and efficacy.ConclusionOverall, the application of ML for modeling cancer outcomes in LLMICs is increasing. However, model development is largely unsatisfactory. We recommend model retraining using larger sample sizes, intensified external validation practices, and increased impact assessment studies using randomized controlled trial designsSystematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?RecordID=308345, identifier CRD42022308345.

  11. e

    Host-defence peptide caerin 1.1 and 1.9 inhibited the proliferation of...

    • ebi.ac.uk
    Updated Aug 6, 2024
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    Tianfang Wang (2024). Host-defence peptide caerin 1.1 and 1.9 inhibited the proliferation of glioblastoma cells [Dataset]. https://www.ebi.ac.uk/pride/archive/projects/PXD044941
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    Dataset updated
    Aug 6, 2024
    Authors
    Tianfang Wang
    Variables measured
    Proteomics
    Description

    Glioblastoma, the most aggressive form of brain cancer, remains a significant global contributor to mortality. Predictions of its increasing incidence in the coming decades underscore the need for more effective treatment strategies. Caerin 1.1 and 1.9, host defence peptides originally isolated from the skin secretions of an Australian tree frog, have exhibited tumour growth inhibition against a diverse spectrum of tumours in vitro. In this study, we reaffirm their potential by demonstrating their inhibitory impact on glioblastoma growth through CCK8 assays. Furthermore, caerin 1.1 and 1.9 effectively curtailed the migration of all tested glioblastoma cells in a cell scratch assay.Quantitative proteomic analysis was employed to investigate the molecular mechanism underlying the anti-proliferative activity.

  12. Radiation Oncology Market Analysis North America, Europe, Asia, Rest of...

    • technavio.com
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    Technavio, Radiation Oncology Market Analysis North America, Europe, Asia, Rest of World (ROW) - US, UK, Canada, China, Germany - Size and Forecast 2024-2028 [Dataset]. https://www.technavio.com/report/radiation-oncology-market-industry-analysis
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    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Europe, China, Germany, Canada, United Kingdom, United States, Global
    Description

    Snapshot img

    Radiation Oncology Market Size 2024-2028

    The radiation oncology market size is forecast to increase by USD 1.94 billion at a CAGR of4.34% between 2023 and 2028.

    In the market, the primary drivers include the increasing incidence of cancer and the rise in healthcare expenditure. As cancer continues to be a significant health concern, the demand for advanced radiation therapy techniques, such as seeds and stereotactic therapy, is increasing. These treatments offer therapeutic benefits by targeting abnormal cells with precision, reducing the impact on healthy cells. Technological developments, including advanced treatment planning software, tumor tracking systems, artificial intelligence, and machine learning, enable more effective and personalized treatment plans. However, challenges persist, including the lack of access to radiotherapy in certain regions and the high cost of these advanced treatments. Despite these challenges, the market is expected to grow, driven by the potential for improved patient outcomes and the ongoing technological advancements In the field.
    

    What will be the Size of the Radiation Oncology Market During the Forecast Period?

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    The market is a significant segment of the healthcare industry, focusing on the delivery of radiation therapy to treat various types of cancer. This form of oncology treatment, also known as radiotherapy, utilizes high-energy radiation to destroy tumor cells. Radiation oncology plays a crucial role in cancer treatment, with breast cancer, metastatic melanoma, and neuroendocrine cancers being some of the common indications. The increasing prevalence of cancer and the growing demand for advanced therapeutic benefits have driven the market's growth. Regulatory scrutiny remains a critical factor In the market.
    
    
    
    Stringent regulations ensure the safety and efficacy of radiotherapy devices and treatment planning software. These regulations also apply to advanced technologies like proton therapy, which offers improved therapeutic benefits for certain types of cancer. Imaging data plays a pivotal role in radiation oncology. Accurate and timely access to imaging data is essential for effective treatment planning and delivery. Cancer treatment centers and oncology research institutes are investing in advanced imaging technologies to enhance their capabilities. Technological developments in radiation oncology are continually evolving. Companies are focusing on improving the precision, efficiency, and patient experience of radiotherapy. Radiotherapy devices, such as those manufactured by Elekta and Gamma Knife, are being enhanced with innovative features.
    

    How is this Radiation Oncology Industry segmented and which is the largest segment?

    The radiation oncology industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    Type
    
      EBRT
      Brachytherapy
    
    
    Application
    
      Breast cancer
      Lung cancer
      Penile cancer
      Prostate cancer
      Others
    
    
    Geography
    
      North America
    
        Canada
        US
    
    
      Europe
    
        Germany
        UK
    
    
      Asia
    
        China
    
    
      Rest of World (ROW)
    

    By Type Insights

    The EBRT segment is estimated to witness significant growth during the forecast period.
    

    Radiation oncology, a specialized medical field focusing on the use of radiation to treat various types of cancer, encompasses external beam radiation therapy (EBRT). EBRT utilizes high-energy beams, typically generated by a Linear Accelerator (LINAC, the most common technology), to target and destroy cancer cells. These beams can be delivered as X-rays, electrons, or other particles, such as protons. EBRT plays a crucial role in treating numerous cancer types, including breast cancer, colorectal cancer (CRC), cervical cancer, esophageal cancer, head and neck cancer, lung cancer, prostate cancer, and brain tumors. Advanced radiotherapy systems, such as CyberKnife, Gamma Knife, and TomoTherapy, are also part of the EBRT market.

    Furthermore, proton therapy, which uses cyclotrons and synchrotrons, is another subset of EBRT. Among these technologies, LINAC holds the largest market share In the market. By providing precise and effective cancer treatment, these advanced technologies contribute significantly to cancer treatment centers across the US and North America, ensuring improved patient outcomes and quality of life.

    Get a glance at the Radiation Oncology Industry report of share of various segments Request Free Sample

    The EBRT segment was valued at USD 6.22 billion in 2018 and showed a gradual increase during the forecast period.

    Regional Analysis

    Europe is estimated to contribute 39% to the growth of the global market during the forecast period.
    

    Technavio's analysts have elaborately explained the regional trends

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Brain cancer cases in England 2022, by age and gender [Dataset]. https://www.statista.com/statistics/312785/brain-cancer-cases-england-age/
Organization logo

Brain cancer cases in England 2022, by age and gender

Explore at:
Dataset updated
Nov 15, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2022
Area covered
United Kingdom
Description

This statistic shows the amount of registrations of newly diagnosed cases of brain cancer in England in 2022, by age group. In this year, 334 new cases were reported among men aged 70 to 74 years of age, and 240 cases among women in this age group.

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