scholarly journals Bile-Based Cell-Free DNA Analysis Is a Reliable Diagnostic Tool in Pancreatobiliary Cancer

Cancers ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 39
Author(s):  
Caroline Driescher ◽  
Katharina Fuchs ◽  
Lena Haeberle ◽  
Wolfgang Goering ◽  
Lisa Frohn ◽  
...  
Keyword(s):  
Dna Analysis ◽  
Invasive Disease ◽  
Primary Diagnosis ◽  
Ductal Adenocarcinoma ◽  
Extrahepatic Cholangiocarcinoma ◽  
Cell Free Dna ◽  
Tissue Samples ◽  
Invasive Approach ◽  
Less Invasive ◽  
Free Dna

Currently available serum biomarkers for pancreatobiliary cancers lack sensitivity and specificity and ultimate diagnosis still requires invasive procedures for histological confirmation. The detection of tumor-specific genetic aberrations with utilization of cell free DNA (cfDNA) is a less invasive approach than traditional tissue biopsies; however, it has not been implemented into clinical routine. In this study, we investigated bile as a liquid biopsy source in pancreatobiliary cancers and compared its potential as cell-free DNA source to plasma. Blood (n = 37) and bile (n = 21) samples were collected from patients affected by pancreatic ductal adenocarcinoma (PDAC) and extrahepatic cholangiocarcinoma (CCA) or with non-malignant biliary obstructions (blood n = 16; bile n = 21). Panel-based next generation sequencing (NGS) and digital droplet PCR (ddPCR) were applied for tumor mutation profiling. NGS results from matched tumor tissues (n = 29) served as comparison. Sequencing of cfDNA from bile resulted in detection of 96.2% of the pathogenic tumor mutations found in matched tissue samples. On the other hand, only 31.6% of pathogenic tumor mutations found in tissue could be detected in plasma. In a direct comparison, only half of the mutations detected in bile cfDNA were concordantly detected in plasma from the same patients. Panel NGS and ddPCR displayed comparable sensitivity. In conclusion, bile is a suitable source of cfDNA for the diagnosis of pancreatobiliary cancer and performs more reliably than plasma. Although primary diagnosis still requires histologic confirmation, bile-derived cfDNA could offer an alternative if tissue sampling is not feasible and might allow less invasive disease monitoring.

Cell-free DNA and exoDNA analysis in metastatic colorectal cancer patients (mCRC).

2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16093-e16093
Author(s):  
Antonio Galvano ◽  
Marta Castiglia ◽  
Aurelia Guarini ◽  
Valerio Gristina ◽  
Sofia Cutaia ◽  
...  
Keyword(s):  
Kras Mutation ◽  
Liquid Biopsy ◽  
Disease Recurrence ◽  
Kras Mutations ◽  
Cell Free Dna ◽  
Tissue Samples ◽  
Invasive Approach ◽  
Synonymous Mutations ◽  
Free Dna ◽  
Molecular Landscape

e16093 Background: Liquid biopsy is a growing field in translational cancer research. Two of the most studied liquid biopsy biomarkers are cell-free DNA (cfDNA) and exosomes, nano-sized vesicles that transport protein and nucleic acids including DNA (exoDNA). Therefore, both cfDNA and exoDNA are potentially useful to investigate the molecular landscape of tumor with a minimally invasive approach. Here we investigate the prognostic and predictive role of both cfDNA and exoDNA in mCRC using Next Generation Sequencing (NGS) analysis. Methods: From July 2017 to September 2018, samples of 40 mCRC patients were collected at the Medical Oncology of the AOUP Paolo Giaccone of Palermo. Blood samples were collected in EDTA-tubes before chemotherapy infusion (T1), at the first instrumental evaluation (T2) and every 2-3 months (T3). Plasma was used to isolate cfDNA and exosomes using the QIAamp Circulating Nucleic Acid and ExoEasy Maxi Kit respectively. ExoDNA was isolated through the QIAamp DNA micro kit. NGS analysis was conducted on IonS5 with AmpliSeq Cancer Hotspot Panel v2, which includes hotspot regions of 50 cancer-related genes. Results: Patients with cfDNA concentration > 0.47ng/μl have worse PFS compared with those with < 0.47 ng/μl cfDNA level. NGS analysis from 16 cfDNA samples showed a total of 292 mutations, with a median of 5 non-synonymous mutations in T1 vs. 8 non-synonymous mutations in T2 sample. We report an inverse and significant correlation between non-synonymous mutations count and disease-specific survival (DSS). Only 2 cfDNA samples carried KRAS mutations, despite it were previously reported in 5 paired tissue samples. An interesting result emerged from exoDNA sequencing of CRC20. KRAS mutation was identified in T1 exoDNA but not in the paired cfDNA samples, suggesting that exoDNA is able to intercept KRAS mutation earlier than cfDNA. Conclusions: cfDNA analysis could be a useful tool for better patients’ stratification. exoDNA could allow an early interception of disease recurrence that could be explained by the ability of exosomes to protect their cargo from degradation.

scholarly journals Cell-Free DNA Methylation: The New Frontiers of Pancreatic Cancer Biomarkers’ Discovery

Genes ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 14 ◽  
Author(s):  
Mariarita Brancaccio ◽  
Francesco Natale ◽  
Geppino Falco ◽  
Tiziana Angrisano
Keyword(s):  
Pancreatic Cancer ◽  
Early Diagnosis ◽  
Unmet Need ◽  
Cancer Biomarkers ◽  
Ductal Adenocarcinoma ◽  
Cell Free Dna ◽  
Invasive Approach ◽  
Non Invasive ◽  
Free Dna ◽  
Early Diagnostic

Pancreatic ductal adenocarcinoma (PDAC) is among the most lethal cancer types world-wide. Its high mortality is related to the difficulty in the diagnosis, which often occurs when the disease is already advanced. As of today, no early diagnostic tests are available, while only a limited number of prognostic tests have reached clinical practice. The main reason is the lack of reliable biomarkers that are able to capture the early development or the progression of the disease. Hence, the discovery of biomarkers for early diagnosis or prognosis of PDAC remains, de facto, an unmet need. An increasing number of studies has shown that cell-free DNA (cfDNA) methylation analysis represents a promising non-invasive approach for the discovery of biomarkers with diagnostic or prognostic potential. In particular, cfDNA methylation could be utilized for the identification of disease-specific signatures in pre-neoplastic lesions or chronic pancreatitis (CP), representing a sensitive and non-invasive method of early diagnosis of PDAC. In this review, we will discuss the advantages and pitfalls of cfDNA methylation studies. Further, we will present the current advances in the discovery of pancreatic cancer biomarkers with early diagnostic or prognostic potential, focusing on pancreas-specific (e.g., CUX2 or REG1A) or abnormal (e.g., ADAMTS1 or BNC1) cfDNA methylation signatures in high risk pre-neoplastic conditions and PDAC.

scholarly journals Application and optimization of minimally invasive cell-free DNA techniques in oncogenomics

Tumor Biology ◽  
2018 ◽  
Vol 40 (2) ◽  
pp. 101042831876034 ◽  
Author(s):  
Manish Kumar ◽  
Yashmin Choudhury ◽  
Sankar Kumar Ghosh ◽  
Rosy Mondal
Keyword(s):  
Dna Analysis ◽  
Storage Condition ◽  
Preoperative Chemoradiotherapy ◽  
Blood Collection ◽  
Limiting Factor ◽  
Cell Free Dna ◽  
Tissue Samples ◽  
Tissue Biopsy ◽  
Free Dna ◽  
Novel Biomarkers

The conventional method of measuring biomarkers in malignant tissue samples has already given subversive growth in cancer diagnosis, prognosis, and therapy selection. However, the regression and heterogeneity associated with tumor tissue biopsy have urged for the development of an alternative approach. Considering the limitations, cell-free DNA has emerged as a surrogate alternative, facilitating preoperative chemoradiotherapy (p < 0.0001) treatment response in rectal cancer and detection of biomarker in lung cancer. This potential of cell-free DNA in several other cancers has yet to be explored based on clinical relevance by optimizing the preanalytical factors. This review has highlighted the crucial parameters from blood collection to cell-free DNA analysis that has a significant impact on the accuracy and reliability of clinical data. The quantity of cell-free DNA is also a limiting factor. Therefore, a proper preanalytical factor for blood collection, its stability, centrifugation speed, and plasma storage condition are to be optimized for developing cancer-specific biomarkers useful for clinical purpose. Liquid biopsy–based origin of cell-free DNA has revolutionized the area of cancer research. Lack of preanalytical and analytical procedures may be considered for identification of novel biomarkers through next-generation sequencing of tumor-originated cell-free DNA in contradiction to tissue biopsy for cancer-specific biomarkers.

scholarly journals Nanopore sequencing from liquid biopsy: analysis of copy number variations from cell-free DNA of lung cancer patients

2020 ◽  
Author(s):  
Filippo Martignano ◽  
Stefania Crucitta ◽  
Alessandra Mingrino ◽  
Roberto Semeraro ◽  
Marzia Del Re ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Copy Number ◽  
Dna Analysis ◽  
Invasive Disease ◽  
Copy Number Variations ◽  
Ease Of Use ◽  
Nanopore Sequencing ◽  
Cell Free Dna ◽  
Lung Cancer Patients ◽  
Free Dna

ABSTRACTAlterations in the genetic content, such as Copy Number Variations (CNVs) is one of the hallmarks of cancer and their detection is used to recognize tumoral DNA. Analysis of cell-free DNA from plasma is a powerful tool for non-invasive disease monitoring in cancer patients. Here we exploit third generation sequencing (Nanopore) to obtain a CNVs profile of tumoral DNA from plasma, where cancer-related chromosomal alterations are readily identifiable.Compared to Illumina sequencing -the only available alternative- Nanopore sequencing represents a viable approach to characterize the molecular phenotype, both for its ease of use, costs and rapid turnaround (6 hours).

scholarly journals Alterations of 5-hydroxymethylation in circulating cell-free DNA reflect molecular distinctions of subtypes of non-Hodgkin lymphoma

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Brian C.-H. Chiu ◽  
Chang Chen ◽  
Qiancheng You ◽  
Rudyard Chiu ◽  
Girish Venkataraman ◽  
...  
Keyword(s):  
B Cell Lymphoma ◽  
Cell Free Dna ◽  
Invasive Approach ◽  
Non Invasive ◽  
Signature Genes ◽  
Non Hodgkin Lymphoma ◽  
Free Dna ◽  
Genome Wide ◽  
Circulating Cell Free Dna

AbstractThe 5-methylcytosines (5mC) have been implicated in the pathogenesis of diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). However, the role of 5-hydroxymethylcytosines (5hmC) that are generated from 5mC through active demethylation, in lymphomagenesis is unknown. We profiled genome-wide 5hmC in circulating cell-free DNA (cfDNA) from 73 newly diagnosed patients with DLBCL and FL. We identified 294 differentially modified genes between DLBCL and FL. The differential 5hmC in the DLBCL/FL-differentiating genes co-localized with enhancer marks H3K4me1 and H3K27ac. A four-gene panel (CNN2, HMG20B, ACRBP, IZUMO1) robustly represented the overall 5hmC modification pattern that distinguished FL from DLBCL with an area under curve of 88.5% in the testing set. The median 5hmC modification levels in signature genes showed potential for separating patients for risk of all-cause mortality. This study provides evidence that genome-wide 5hmC profiles in cfDNA differ between DLBCL and FL and could be exploited as a non-invasive approach.

A dual target sequencing solution to assess genomic and epigenomic alterations in cell-free DNA with no sample splitting.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 3043-3043
Author(s):  
Grace Q. Zhao ◽  
Yun Bao ◽  
Heng Wang ◽  
Wanping Hu ◽  
John Coller ◽  
...  
Keyword(s):  
Cancer Detection ◽  
Dna Analysis ◽  
Residual Disease ◽  
Early Stage ◽  
Cancer Cell Line ◽  
Assay Sensitivity ◽  
Cell Free Dna ◽  
Target Sequencing ◽  
Free Dna ◽  
Dual Analysis

3043 Background: Assessing the genomic and epigenomic changes on plasma cell-free DNA (cfDNA) using next-generation sequencing (NGS) has become increasingly important for cancer detection and treatment selection guidance. However, two major hurdles of existing targeted NGS methods make them impractical for the clinical setting. First, there is no comprehensive, end to end, kit solution available for targeted methylation sequencing (TMS), let alone one that analyzes both mutation and methylation information in one assay. Second, the low yield of cfDNA from clinical blood samples presents a major challenge for conducting multi-omic analysis. Thus, an assay that is capable of both genomic and epigenomic analysis would be advantageous for clinical research and future diagnostic assays. Methods: Here, we report the performance of Point-n-SeqTM dual analysis, a kit solution that can provide in-depth DNA analysis with highly flexible and customizable focused panels to enable both genomic and epigenomic analysis without sample splitting. With custom panels of tens to thousands of markers designed with > 99% first-pass success rate, we conducted both performance validation and multi-center, multi-operator, reproducibility studies. Using spike-in titration of cancer cell-line gDNA with known mutation and methylation profiles, Point-n-Seq assay achieved a reliable detection level down to 0.003% of tumor DNA with a linear relationship between the measured and expected fractions. Benchmarked with conventional targeted sequencing and methylation sequencing, Point-n-Seq solution also demonstrated improved performance, speed and shortened hands-on time. Results: In a pilot clinical study, a colorectal cancer (CRC) TMS panel covering 560 methylation markers and a mutation panel with > 350 hotspot mutations in 22 genes were used in the dual assay. Using 1ml of plasma from late-stage CRC patients, cancer-specific methylation signals were detected in all samples tested, and oncogenic mutations. In an early-stage cohort (33 stage I/II CRC patient ), comparison of the analysis between tumor-informed, personalized-mutation panels (̃100 private SNVs) for each patient and the tumor-independent CRC methylation panels were conducted. The initial results showed that tumor-independent TMS assay achieved a comparable detection compared to the personalized tumor-informed approach. Moreover, cfDNA size information (fragmentome) is also integrated into the analysis of the same Point-n-Seq workflow to improve the assay sensitivity. Conclusions: Point-n-Seq dual analysis is poised to advance both research and clinical applications of early cancer detection, minimal residual disease (MRD), and monitoring.

Cell-Free DNA Analysis in Maternal Blood: Differences in Estimates between Laboratories with Different Methodologies Using a Propensity Score Approach

2018 ◽  
Vol 45 (5) ◽  
pp. 302-311 ◽  
Author(s):  
Elisa Bevilacqua ◽  
Jacques C. Jani ◽  
Alexandra Letourneau ◽  
Silvia F. Duiella ◽  
Pascale Kleinfinger ◽  
...  
Keyword(s):  
Propensity Score ◽  
Dna Analysis ◽  
Maternal Blood ◽  
Cell Free Dna ◽  
Free Dna
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