| Title: | Editorial : brain cancer pathogenesis and data integration |
|---|
| Authors: | ID Comba, Andrea (Author)
ID Li, Xinzhong (Author)
ID Breznik, Barbara (Author) |
|---|
| Files: |  URL - Source URL, visit https://doi.org/10.3389/fgene.2023.1298285
 PDF - Presentation file, download (513,58 KB)
MD5: 5A2F00A49AE7D9359667E8BD58863FA9
|
|---|
| Language: | English |
|---|
| Typology: | 1.03 - Other scientific articles |
|---|
| Organization: |  NIB - National Institute of Biology
|
|---|
| Abstract: | Brain tumors are one of the most aggressive malignancies in humans. They can be classified as primary tumors, which arise in the brain, or secondary tumors, which arise elsewhere in the body and initially metastaze the brain. The morbidity and mortality of brain tumors is one of the highest among cancers (Siegel et al., 2023). Of particular concern is that mortality and incidence of brain tumors are increasing, especially in the population under 44 years of age. Brain tumor mortality in this population is 13.4%. For example, primary brain tumors are the most common cancer in children and the leading cause of death in pediatric cancer patients (Gould, 2018). Considering the low survival rate of adult and pediatric brain tumor patients and the detrimental impact on patient quality of life, economic costs, and mortality rates, there is an urgent need to develop more effective therapeutic approaches. Despite major research efforts, there are currently no effective treatment modalities or prevention strategies that would significantly improve the quality of life and disease outcome of brain tumor patients. |
|---|
| Keywords: | brain tumor, data integration, therapeutic resistance, biomarkers, liquid biopsies |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Publication date: | 13.10.2023 |
|---|
| Year of publishing: | 2023 |
|---|
| Number of pages: | str. 1-2 |
|---|
| Numbering: | Vol. 14, [article no.] ǂ1298285 |
|---|
| PID: | 20.500.12556/DiRROS-20150  |
|---|
| UDC: | 616-006 |
|---|
| ISSN on article: | 1664-8021 |
|---|
| DOI: | 10.3389/fgene.2023.1298285 |
|---|
| COBISS.SI-ID: | 169559043 |
|---|
| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 24. 10. 2023;
|
|---|
| Publication date in DiRROS: | 06.08.2024 |
|---|
| Views: | 290 |
|---|
| Downloads: | 179 |
|---|
| Metadata: |    |
|---|
|
:
|
Copy citation |
|---|
| | | | Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
