Autor: |
Alexandra Sala, James M. Cameron, Paul M. Brennan, Emma J. Crosbie, Tom Curran, Ewan Gray, Pierre Martin-Hirsch, David S. Palmer, Ihtesham U. Rehman, Nicholas J. W. Rattray, Matthew J. Baker |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-15 (2023) |
Druh dokumentu: |
article |
ISSN: |
1756-9966 |
DOI: |
10.1186/s13046-023-02786-y |
Popis: |
Abstract The advances in cancer research achieved in the last 50 years have been remarkable and have provided a deeper knowledge of this disease in many of its conceptual and biochemical aspects. From viewing a tumor as a ‘simple’ aggregate of mutant cells and focusing on detecting key cell changes leading to the tumorigenesis, the understanding of cancer has broadened to consider it as a complex organ interacting with its close and far surroundings through tumor and non-tumor cells, metabolic mechanisms, and immune processes. Metabolism and the immune system have been linked to tumorigenesis and malignancy progression along with cancer-specific genetic mutations. However, most technologies developed to overcome the barriers to earlier detection are focused solely on genetic information. The concept of cancer as a complex organ has led to research on other analytical techniques, with the quest of finding a more sensitive and cost-effective comprehensive approach. Furthermore, artificial intelligence has gained broader consensus in the oncology community as a powerful tool with the potential to revolutionize cancer diagnosis for physicians. We herein explore the relevance of the concept of cancer as a complex organ interacting with the bodily surroundings, and focus on promising emerging technologies seeking to diagnose cancer earlier, such as liquid biopsies. We highlight the importance of a comprehensive approach to encompass all the tumor and non-tumor derived information salient to earlier cancer detection. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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