Quantification of mitochondrial cfDNA reveals new perspectives for early diagnosis of colorectal cancer

Impact of platelet activation on the release of cell-free mitochondria and circulating mitochondrial DNA

BACKGROUND

Research on circulating mitochondrial DNA (cir-mtDNA) based diagnostic is insufficient, as to its function, origin, structural features, and particularly its standardization of isolation. To date, plasma preparation performed in previous studies do not take into consideration the potential bias resulting from the release of mitochondria by activated platelets.

METHODS

To tackle this, we compared the mtDNA amount determined by a standard plasma preparation method or a method optimally avoiding platelet activation. MtDNA extracted from the plasma of seven healthy individuals was quantified by Q-PCR in the course of the process of both methods submitted to filtration, freezing or differential centrifugation.

RESULTS

98.7 to 99.4% of plasma mtDNA corresponded to extracellular mitochondria, either free or into large extracellular vesicles. Without platelet activation, the proportion of both types of entities remained preponderant (76-80%), but the amount of detected mtDNA decreased 67-fold.

CONCLUSION

We show the high capacity of platelets to release free mitochondria in "in vitro" conditions. This represents a potent confounding factor when extracting mtDNA for cir-mtDNA investigation. Platelet activation during pre-analytical conditions should therefore be avoided when studying cir-mtDNA. Our findings lead to a profound revision of the assumptions previously made by most works in this field. Overall, our data suggest the need to characterize or isolate mtDNA associated various structural forms, as well as to standardize plasma preparation, to better circumscribe cir-mtDNA's diagnostic capacity.

Liquid biopsies based on cell-free DNA as a potential biomarker in head and neck cancer

In the era of 'precision medicine', liquid biopsies based on cell-free DNA (cfDNA) have emerged as a promising tool in the oncology field. cfDNA from cancer patients is a mixture of tumoral (ctDNA) and non-tumoral DNA originated from healthy, cancer and tumor microenvironmental cells. Apoptosis, necrosis, and active secretion from extracellular vesicles represent the main mechanisms of cfDNA release into the physiological body fluids. Focused on HNC, two main types of cfDNA can be identified: the circulating cfDNA (ccfDNA) and the salivary cfDNA (scfDNA). Numerous studies have reported on the potential of cfDNA analysis as potential diagnostic, prognostic, and monitoring biomarker for HNC. Thus, ctDNA has emerged as an attractive strategy to detect cancer specific genetic and epigenetic alterations including DNA somatic mutations and DNA methylation patterns. This review aims to provide an overview of the up-to-date studies evaluating the value of the analysis of total cfDNA, cfDNA fragment length, and ctDNA analysis at DNA mutation and methylation level in HNC patients.

The bidirectional interplay between ncRNAs and methylation modifications in gastrointestinal tumors

The aberrant expression of methylation and ncRNAs, two crucial regulators of epigenetic modifications, has been widely demonstrated in cancer. The complex interplay between them is essential in promoting malignant phenotype, poor prognosis, and drug resistance in GI tumors (including esophageal, gastric, colorectal, liver, and pancreatic cancers). Therefore, we summarize the interrelation process between ncRNAs and methylation modifications in GI tumors, including the detailed mechanism of methylation enzyme regulation of ncRNAs, the molecular mechanism of ncRNAs regulation of methylation modifications, and the correlation between the interactions between ncRNAs and methylation modifications and clinical features of tumors. Finally, we discuss the potential value of ncRNAs and methylation modifications in clinical diagnosis and therapy.

Identification of a Twelve-microRNA Signature with Prognostic Value in Stage II Microsatellite Stable Colon Cancer

We aimed to identify and validate a set of miRNAs that could serve as a prognostic signature useful to determine the recurrence risk for patients with COAD. Small RNAs from tumors of 100 stage II, untreated, MSS colon cancer patients were sequenced for the discovery step. For this purpose, we built an miRNA score using an elastic net Cox regression model based on the disease-free survival status. Patients were grouped into high or low recurrence risk categories based on the median value of the score. We then validated these results in an independent sample of stage II microsatellite stable tumor tissues, with a hazard ratio of 3.24, (CI_95% = 1.05-10.0) and a 10-year area under the receiver operating characteristic curve of 0.67. Functional analysis of the miRNAs present in the signature identified key pathways in cancer progression. In conclusion, the proposed signature of 12 miRNAs can contribute to improving the prediction of disease relapse in patients with stage II MSS colorectal cancer, and might be useful in deciding which patients may benefit from adjuvant chemotherapy.