Dataset Information

How to use liquid biopsies to treat patients with cancer.

ABSTRACT: Precision medicine is now pivotal to design patients' specific treatment strategies with the aim of prolonging progression and overall survival. In this regard, invasive tumor tissue testing has so far been the golden standard for making cancer diagnosis, but has limitations. Cell-free tumor DNA (ctDNA), a form of liquid biopsy, is a noninvasive biomarker that can be isolated from patients' blood and other biofluids. An increasing body of evidence has demonstrated clinical utility of plasma ctDNA profiling to select patients for genomic-driven therapies. Analyses of mutations in plasma ctDNA have shown high accuracy and more rapid identification of mutations, allowing matching patients for specific therapies with equivalent clinical efficacy to that of the tissue profiling. In the clinical setting, ctDNA has been recently implemented to select patients with specific genomic alterations to targeted treatments, and a few molecular tests have been approved for use in non-small-cell lung, prostate, ovarian, and breast cancers. However, standardization of ctDNA collection, storage, and analysis methods would be critical to facilitate the wide adoption of ctDNA technology in routine clinical practice. This review summarizes how we can exploit ctDNA analysis to treat cancer patients, and explains how the results should be interpreted. In addition, we focus on how ctDNA could be used in the future as a marker of minimal residual disease to guide adjuvant therapy, as an immuno-oncology biomarker in patients treated with immune checkpoint blockade drugs, and as an early cancer detection marker to screen the asymptomatic population.

SUBMITTER: De Mattos-Arruda L

PROVIDER: S-EPMC7921754 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

How to use liquid biopsies to treat patients with cancer.

De Mattos-Arruda L L Siravegna G G

ESMO open 20210226 2

Precision medicine is now pivotal to design patients' specific treatment strategies with the aim of prolonging progression and overall survival. In this regard, invasive tumor tissue testing has so far been the golden standard for making cancer diagnosis, but has limitations. Cell-free tumor DNA (ctDNA), a form of liquid biopsy, is a noninvasive biomarker that can be isolated from patients' blood and other biofluids. An increasing body of evidence has demonstrated clinical utility of plasma ctDN ...[more]

PMID: 33647598

Similar Datasets

Project description:The analysis of tumours using biomarkers in blood is transforming cancer diagnosis and therapy. Cancers are characterised by evolving genetic alterations, making it difficult to develop reliable and broadly applicable DNA-based biomarkers for liquid biopsy. In contrast to the variability in gene mutations, the methylation pattern remains generally constant during carcinogenesis. Thus, methylation more than mutation analysis may be exploited to recognise tumour features in the blood of patients. In this work, we investigated the possibility of using global CpG (CpG means a CG motif in the context of methylation. The p represents the phosphate. This is used to distinguish CG sites meant for methylation from other CG motifs or from mentions of CG content) island methylation profiles as a basis for the prediction of cancer state of patients utilising liquid biopsy samples. We retrieved existing GEO methylation datasets on hepatocellular carcinoma (HCC) and cell-free DNA (cfDNA) from HCC patients and healthy donors, as well as healthy whole blood and purified peripheral blood mononuclear cell (PBMC) samples, and used a random forest classifier as a predictor. Additionally, we tested three different feature selection techniques in combination. When using cfDNA samples together with solid tumour samples and healthy blood samples of different origin, we could achieve an average accuracy of 0.98 in a 10-fold cross-validation. In this setting, all the feature selection methods we tested in this work showed promising results. We could also show that it is possible to use solid tumour samples and purified PBMCs as a training set and correctly predict a cfDNA sample as cancerous or healthy. In contrast to the complete set of samples, the feature selections led to varying results of the respective random forests. ANOVA feature selection worked well with this training set, and the selected features allowed the random forest to predict all cfDNA samples correctly. Feature selection based on mutual information could also lead to better than random results, but LASSO feature selection would not lead to a confident prediction. Our results show the relevance of CpG islands as tumour markers in blood.

Project description:Background:Detection of circulating tumor DNA can be limited due to their relative scarcity in circulation, particularly while patients are actively undergoing therapy. Exosomes provide a vehicle through which cancer-specific material can be enriched from the compendium of circulating non-neoplastic tissue-derived nucleic acids. We carried out a comprehensive profiling of the pancreatic ductal adenocarcinoma (PDAC) exosomal 'surfaceome' in order to identify surface proteins that will render liquid biopsies amenable to cancer-derived exosome enrichment for downstream molecular profiling. Patients and methods:Surface exosomal proteins were profiled in 13 human PDAC and 2 non-neoplastic cell lines by liquid chromatography-mass spectrometry. A total of 173 prospectively collected blood samples from 103 PDAC patients underwent exosome isolation. Droplet digital PCR was used on 74 patients (136 total exosome samples) to determine baseline KRAS mutation call rates while patients were on therapy. PDAC-specific exosome capture was then carried out on additional 29 patients (37 samples) using an antibody cocktail directed against selected proteins, followed by droplet digital PCR analysis. Exosomal DNA in a PDAC patient resistant to therapy were profiled using a molecular barcoded, targeted sequencing panel to determine the utility of enriched nucleic acid material for comprehensive molecular analysis. Results:Proteomic analysis of the exosome 'surfaceome' revealed multiple PDAC-specific biomarker candidates: CLDN4, EPCAM, CD151, LGALS3BP, HIST2H2BE, and HIST2H2BF. KRAS mutations in total exosomes were detected in 44.1% of patients undergoing active therapy compared with 73.0% following exosome capture using the selected biomarkers. Enrichment of exosomal cargo was amenable to molecular profiling, elucidating a putative mechanism of resistance to PARP inhibitor therapy in a patient harboring a BRCA2 mutation. Conclusion:Exosomes provide unique opportunities in the context of liquid biopsies for enrichment of tumor-specific material in circulation. We present a comprehensive surfaceome characterization of PDAC exosomes which allows for capture and molecular profiling of tumor-derived DNA.

Dataset Information

How to use liquid biopsies to treat patients with cancer.

Publications

How to use liquid biopsies to treat patients with cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets