| Literature DB >> 34485534 |
Miao Wu1, Jiawei Bai2, Chengtai Ma2, Jie Wei1, Xianjin Du2.
Abstract
Tumor immunotherapy is the fourth therapy after surgery, chemotherapy, and radiotherapy. It has made great breakthroughs in the treatment of some epithelial tumors and hematological tumors. However, its adverse reactions are common or even more serious, and the response rate in some solid tumors is not satisfactory. With the maturity of genomics and metabolomics technologies, the effect of intestinal microbiota in tumor development and treatment has gradually been recognized. The microbiota may affect tumor immunity by regulating the host immune system and tumor microenvironment. Some bacteria help fight tumors by activating immunity, while some bacteria mediate immunosuppression to help cancer cells escape from the immune system. More and more studies have revealed that the effects and complications of tumor immunotherapy are related to the composition of the gut microbiota. The composition of the intestinal microbiota that is sensitive to treatment or prone to adverse reactions has certain characteristics. These characteristics may be used as biomarkers to predict the prognosis of immunotherapy and may also be developed as "immune potentiators" to assist immunotherapy. Some clinical and preclinical studies have proved that microbial intervention, including microbial transplantation, can improve the sensitivity of immunotherapy or reduce adverse reactions to a certain extent. With the development of gene editing technology and nanotechnology, the design and development of engineered bacteria that contribute to immunotherapy has become a new research hotspot. Based on the relationship between the intestinal microbiota and immunotherapy, the correct mining of microbial information and the development of reasonable and feasible microbial intervention methods are expected to optimize tumor immunotherapy to a large extent and bring new breakthroughs in tumor treatment.Entities:
Mesh:
Year: 2021 PMID: 34485534 PMCID: PMC8413023 DOI: 10.1155/2021/5061570
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.818
Figure 1The role of gut microbiota on tumor immunity.
Clinical research on intestinal microbiota and tumor immunotherapy.
| Study type | NCT number | Condition or disease | Immunotherapeutic drugs | Microbiological interventions | Purpose | Estimated enrollment | Primary outcome | Study design | Location |
|---|---|---|---|---|---|---|---|---|---|
| Interventional |
| Renal cell carcinoma | Ipilimumab/nivolumab | FMT | To evaluate the efficacy and safety of FMT in the prevention of adverse reactions in immunotherapy | 20 | Occurrence of immune-related colitis associated with ipilimumab/nivolumab treatment | Single group Open label | Canada |
|
| Gastrointestinal system cancer | PD-1 inhibitor | FMT | To determine whether the FMT capsule improves the response rate of anti-PD-1 treatment | 10 | Objective response rate | Single group Open label | China | |
|
| Melanoma stage IV | Unspecified | FMT | Altering the gut microbiota of melanoma patients who failed immunotherapy using FMT from responding patients | 40 | Incidence of FMT-related adverse events | Single group | Israel | |
|
| Solid carcinoma | Unspecified | FMT | Part 1: development of microbiome biomarkers for immuno-oncology; part 2: proof-of-concept trial on the fecal microbiota transplantation in patients who are being treated with immunotherapy for advanced solid tumor | 60 | Overall response rate | Single group | Korea | |
|
| Melanoma | Pembrolizumab | FMT | To determine if the FMT improves the body's ability to fight your cancer | 20 | Objective response rate | Single group | United States | |
|
| Advanced renal cell carcinoma | Nivolumab | Clostridium butyricum CBM 588 probiotic strain | To determine the effect of clostridium butyricum CBM 588 probiotic strain (CBM 588) (in combination with nivolumab/ipilimumab) on the gut microbiome in patients with metastatic renal cell carcinoma (mRCC) | 30 | Change in Bifidobacterium composition of stool | Randomized | United States | |
|
| All solid tumors | PD-1/PD-L1 inhibitor | MET-4 | To assess the safety, tolerability and engraftment of MET-4 strains when given in combination with immune checkpoint inhibitors | 65 | Cumulative relative abundance of immunotherapy-responsiveness associated species | Randomized | Canada | |
| Observational |
| Non-small-cell lung cancer | Nivolumab | / | To develop and validate the BioForte technology. Its main functionality should be to in silico determine candidates for novel microbiome-based therapeutics and diagnostics. | 130 | Microbial diversity in stool samples | Case-only | Poland |
|
| Diffuse large B cell lymphoma | Front-line R-CHOP (rituximab-cyclophosphamide, doxorubicin, vincristine, prednisone) | / | To study the functional gut microbiota layout in association with specific patterns of treatment response in de novo DLBCL undergoing standard first line chemoimmunotherapy | 50 | Gut microbiota dysbiosis assessment (bacterial DNA of gut microbiota in all patients) | Cohort | Italy | |
|
| Immune and microbial reconstitution | Hematopoietic cell transplant | / | To monitor the immune and microbial reconstitution in hematopoietic cell transplantation and novel immunotherapies | 1600 | Immune function after hematopoietic cell transplant | Cohort | United States | |
|
| Melanoma | Nivolumab | / | To observe the gut microbiota and diet of melanoma patients receiving immunotherapy | 1160 | Microbial diversity in stool samples | Case-only | Poland |
FMT: fecal microbiota transplantation; /: none.