Renal cell carcinoma (RCC) accounts for about 2% of cancer diagnoses and deaths worldwide. Recent studies emphasized the critical involvement of microbial populations in RCC from oncogenesis, tumor growth, and response to anticancer therapy. Microorganisms have been shown to be involved in various renal physiological and pathological processes by influencing the immune system function, metabolism of the host and pharmaceutical reactions. These findings have extended our understanding and provided more possibilities for the diagnostic or therapeutic development of microbiota, which could function as screening, prognostic, and predictive biomarkers, or be manipulated to prevent RCC progression, boost anticancer drug efficacy and lessen the side effects of therapy. This review aims to present an overview of the roles of microbiota in RCC, including pertinent mechanisms in microbiota-related carcinogenesis, the potential use of the microbiota as RCC biomarkers, and the possibility of modifying the microbiota for RCC prevention or treatment. According to these scientific findings, the clinical translation of microbiota is expected to improve the diagnosis and treatment of RCC.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/s13402-023-00876-9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Clinical Applications of Microbiome in Renal Cell Carcinoma.
Eur Urol Focus
January 2025
Division of Hematology and Oncology, University of Michigan, Ann Arbor, MI, USA. Electronic address:
Advancements in microbiome research reveal its impact on cancer treatment outcomes, particularly in renal cell carcinoma (RCC). While immune checkpoint inhibitors (ICIs) have improved survival in metastatic RCC, composition of the gut microbiome has the potential to influence their efficacy. Antibiotic-induced microbiome disruptions correlate with diminished outcomes, while strains such as Akkermansia muciniphila, Clostridium butyricum, and others enhance immune responses and progression-free survival.
View Article and Find Full Text PDFDistinct microbes, metabolites, and the host genome define the multi-omics profiles in right-sided and left-sided colon cancer.
Microbiome
December 2024
Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Background: Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-specific difference.
Methods: Here, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC, and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC, and 88 healthy controls) were analyzed.
Validation of urine p-cresol glucuronide as renal cell carcinoma non-invasive biomarker.
J Proteomics
January 2025
Haemostasis, Thrombosis, Arteriosclerosis and Vascular Biology Research Group, Medical Research Institute Hospital La Fe, Valencia, Spain. Electronic address:
Renal cell carcinoma (RCC) stands among the most lethal urological malignancies. Most RCCs are incidentally diagnosed as initial symptoms are unspecific. Novel, minimally-invasive diagnostic and prognostic methods for RCC are needed, ideally in urine.
View Article and Find Full Text PDFEffects of gut microbiota on immune checkpoint inhibitors in multi-cancer and as microbial biomarkers for predicting therapeutic response.
Med
November 2024
Institute of Digestive Disease, Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, CUHK Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong SAR, China. Electronic address:
Background: Gut bacteria are related to immune checkpoint inhibitors (ICIs). However, there is inconsistency in ICI-associated species, while the role of non-bacterial microbes in immunotherapy remains elusive. Here, we evaluated the association of trans-kingdom microbes with ICIs by multi-cohort multi-cancer analyses.
View Article and Find Full Text PDFPredictive Biomarkers and Resistance Mechanisms of Checkpoint Inhibitors in Malignant Solid Tumors.
Int J Mol Sci
September 2024
Department of Surgery, Carol Davila University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Predictive biomarkers for immune checkpoint inhibitors (ICIs) in solid tumors such as melanoma, hepatocellular carcinoma (HCC), colorectal cancer (CRC), non-small cell lung cancer (NSCLC), endometrial carcinoma, renal cell carcinoma (RCC), or urothelial carcinoma (UC) include programmed cell death ligand 1 (PD-L1) expression, tumor mutational burden (TMB), defective deoxyribonucleic acid (DNA) mismatch repair (dMMR), microsatellite instability (MSI), and the tumor microenvironment (TME). Over the past decade, several types of ICIs, including cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) inhibitors, anti-programmed cell death 1 (PD-1) antibodies, anti-programmed cell death ligand 1 (PD-L1) antibodies, and anti-lymphocyte activation gene-3 (LAG-3) antibodies have been studied and approved by the Food and Drug Administration (FDA), with ongoing research on others. Recent studies highlight the critical role of the gut microbiome in influencing a positive therapeutic response to ICIs, emphasizing the importance of modeling factors that can maintain a healthy microbiome.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!