Cancer's second genome: Microbial cancer diagnostics and redefining clonal evolution as a multispecies process
Year: 2022
Type: review
Abstract: The presence and role of microbes in human cancers has come full circle in the last century. Tumors are no longer considered aseptic, but implications for cancer biology and oncology remain underappreciated. Opportunities to identify and build translational diagnostics, prognostics, and therapeutics that exploit cancer's second genome-the metagenome-are manifold, but require careful consideration of microbial experimental idiosyncrasies that are distinct from host-centric methods. Furthermore, the discoveries of intracellular and intra-metastatic cancer bacteria necessitate fundamental changes in describing clonal evolution and selection, reflecting bidirectional interactions with non-human residents. Reconsidering cancer clonality as a multispecies process similarly holds key implications for understanding metastasis and prognosing therapeutic resistance while providing rational guidance for the next generation of bacterial cancer therapies. Guided by these new findings and challenges, this Review describes opportunities to exploit cancer's metagenome in oncology and proposes an evolutionary framework as a first step towards modeling multispecies cancer clonality. Also see the video abstract here: https://youtu.be/-WDtIRJYZSs.
Source: BioEssays
Institutions: University of California San Diego, Centre National de la Recherche Scientifique, Institut Gustave Roussy, Institut d'Histoire et de Philosophie des Sciences et des Techniques, Cellules souches hématopoïétiques et développement des hémopathies myéloïdes, Université Paris 1 Panthéon-Sorbonne, Université de Bordeaux, Immunology from Concept and Experiments to Translation
Language: English
Subfield: Cancer Research
Domain: Life Sciences
Open Access status: green
Awards: Immunity, DEvelopment and Microbiota: Understanding the Continuous Construction of Biological Identity, G1799925336, Mapping host-microbe-metabolite interactions in 3D to find diet-derived enhancers of immunity, G3360784914, G434337789, Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional), Graduate Training Program in Bioinformatics, Comprehensive characterization of the cancer microbiome and its immuno-oncology interface, Specialized Cancer Center Support Grant, G9000021148
OpenAlex ID: W4221014894
