Extracellular Vesicles—A New Potential Player in the Immunology of Renal Cell Carcinoma

Kleibert, Marcin; Czystowska-Kuźmicz, Małgorzata

doi:10.3390/jpm12050772

Cited by 3 publications

(2 citation statements)

References 135 publications

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“…This shows that the reliability and accuracy of diagnostic tools depend on the optimization of laboratory and computational protocols. Consistently, recent reviews conclude that still much time and effort is needed before EV-based biomarkers can be widely used for diagnosis [ 83 , 84 ].…”

Section: Discussionmentioning

confidence: 86%

Identification of novel snoRNA-based biomarkers for clear cell renal cell carcinoma from urine-derived extracellular vesicles

Grützmann,

Salomo,

Krüger

et al. 2024

Biol Direct

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Background Clear cell renal cell carcinoma (ccRCC) is the most common subtype of RCC with high rates of metastasis. Targeted therapies such as tyrosine kinase and checkpoint inhibitors have improved treatment success, but therapy-related side effects and tumor recurrence remain a challenge. As a result, ccRCC still have a high mortality rate. Early detection before metastasis has great potential to improve outcomes, but no suitable biomarker specific for ccRCC is available so far. Therefore, molecular biomarkers derived from body fluids have been investigated over the past decade. Among them, RNAs from urine-derived extracellular vesicles (EVs) are very promising. Methods RNA was extracted from urine-derived EVs from a cohort of 78 subjects (54 ccRCC patients, 24 urolithiasis controls). RNA-seq was performed on the discovery cohort, a subset of the whole cohort (47 ccRCC, 16 urolithiasis). Reads were then mapped to the genome, and expression was quantified based on 100 nt long contiguous genomic regions. Cluster analysis and differential region expression analysis were performed with adjustment for age and gender. The candidate biomarkers were validated by qPCR in the entire cohort. Receiver operating characteristic, area under the curve and odds ratios were used to evaluate the diagnostic potential of the models. Results An initial cluster analysis of RNA-seq expression data showed separation by the subjects’ gender, but not by tumor status. Therefore, the following analyses were done, adjusting for gender and age. The regions differentially expressed between ccRCC and urolithiasis patients mainly overlapped with small nucleolar RNAs (snoRNAs). The differential expression of four snoRNAs (SNORD99, SNORD22, SNORD26, SNORA50C) was validated by quantitative PCR. Confounder-adjusted regression models were then used to classify the validation cohort into ccRCC and tumor-free subjects. Corresponding accuracies ranged from 0.654 to 0.744. Models combining multiple genes and the risk factors obesity and hypertension showed improved diagnostic performance with an accuracy of up to 0.811 for SNORD99 and SNORA50C (p = 0.0091). Conclusions Our study uncovered four previously unrecognized snoRNA biomarkers from urine-derived EVs, advancing the search for a robust, easy-to-use ccRCC screening method.

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Section: Discussionmentioning

confidence: 86%

Identification of novel snoRNA-based biomarkers for clear cell renal cell carcinoma from urine-derived extracellular vesicles

Grützmann,

Salomo,

Krüger

et al. 2024

Biol Direct

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show abstract

“…Exosomes derived from RCC cells, according to one study, can aid in the increase of lung metastases and tumor growth. Suppressing the MALAT-1 transcription factor may have the potential to decrease the malignant behavior of cells [ 103 ]. Through liquid biopsies, microRNAs can be extracted from a variety of bodily fluids, at a lower cost and faster than non-liquid samples.…”

Section: Exosome and Personalized Medicine For Rccmentioning

confidence: 99%

Exosomes as novel tools for renal cell carcinoma therapy, diagnosis, and prognosis

Razavinia,

Jamshidi Khalife Lou

et al. 2024

Heliyon

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EV-out or EV-in: Tackling cell-to-cell communication within the tumor microenvironment to enhance anti-tumor efficacy using extracellular vesicle-based therapeutic strategies

Chiangjong

2022

OpenNano

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Extracellular Vesicles—A New Potential Player in the Immunology of Renal Cell Carcinoma

Cited by 3 publications

References 135 publications

Identification of novel snoRNA-based biomarkers for clear cell renal cell carcinoma from urine-derived extracellular vesicles

Identification of novel snoRNA-based biomarkers for clear cell renal cell carcinoma from urine-derived extracellular vesicles

Exosomes as novel tools for renal cell carcinoma therapy, diagnosis, and prognosis

EV-out or EV-in: Tackling cell-to-cell communication within the tumor microenvironment to enhance anti-tumor efficacy using extracellular vesicle-based therapeutic strategies

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