About this Research Topic
The bacteria used as a medicine must be very well characterized in terms of structure and metabolic rate if it is to support anti-cancer therapy. The cytotoxic, pro-apoptotic effect (or the effect on the change) on the benefit of the patient's gene expression should be investigated, i.e. what effect the use of the bacterium or its metabolite will have as a drug. It causes several difficulties and challenges that are dealt with by Toxicogenomics, which provides information on how the profile of gene expression or protein activity in given tissues or cells changes under the influence of microbiological factors. Such tests can provide information on how the body will react to the applied MicroBioTherapy, dedicated to a given person, with a specific molecular profile. An interesting issue seems to be the interaction between the host's microbiome and the administered MicroBiotherapy, for example in connection with the possibility of horizontal gene transfer between microorganisms and their impact on the effectiveness of treatment. To cure a person, not a disease, takes on a new meaning in this context. Therefore, a more personalized oncology therapy, focusing not only on the molecular profile but also on its microbiome profile, is beginning to be visible on the horizon.
Research (original) papers and review manuscripts are welcome on, but not limited to, the following:
- Effect of bacterial metabolites on host cell DNA
- Toxic effect of substances of microbial origin on cancer cells and their genetic material
- Mutational profile of tumors in relation to the action of substances of microbial origin
- The functioning of human genetic repair systems in the face of the influence of microorganisms and their metabolites on the formation of host DNA damage
- Supporting the repair of genetic damage by microorganisms and their metabolites
- Modulation of immunotherapy and cancer treatment approaches by microbial influences
- Prediction of tumor progression or toxicities based on microbial composition or metabolite profile
- Microbiome-derived epigenetic changes in host cells
Bioinformatic studies are welcome, however, these should not be based solely on analysis of publicly available datasets such as TCGA. It is essential to have an independent validation cohort for statistically significant confirmation of the findings communicated.
Keywords: Cancers, Mutations, Microbiome, Microbial Metabolites, Microorganisms, Cells, Nucleic Acids, Gene Expression
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