Document Type

Article

Publication Date

8-15-2023

Identifier

DOI: 10.1186/s13046-023-02786-y; PMCID: PMC10426107

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.

Journal Title

Journal of experimental & clinical cancer research : CR

Volume

42

Issue

1

First Page

207

Last Page

207

MeSH Keywords

Humans; Artificial Intelligence; Neoplasms; Liquid Biopsy; Medical Oncology; Carcinogenesis; Biomarkers, Tumor

Keywords

Blood serum; Cancer detection; Diagnosis; Genetics; Immune system; Liquid biopsy; Metabolism; Pan-omics.; Spectroscopy; Tumorigenesis

Comments

Grant support

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Publisher's Link: https://jeccr.biomedcentral.com/articles/10.1186/s13046-023-02786-y

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