Cell-free DNA genotyping using digital PCR for early detection of pancreatic neoplasm.

2016 ◽  
Vol 34 (4_suppl) ◽  
pp. TPS464-TPS464
Author(s):  
Hidenori Karasaki ◽  
Yusuke Ono ◽  
Kazuya Koizumi ◽  
Kiyohiro Andoh ◽  
Shingo Asahara ◽  
...  

TPS464 Background: Pancreatic ductal adenocarcinoma (PDA) is still a dismal disease, and there is an urgent need to establish novel tool for early diagnosis of the tumor. There are two main types of pathologically and genetically distinct precursors for PDA — pancreatic intraepithelial neoplasia (PanIN) and intraductal papillary mucinous neoplasia (IPMN). Non-invasive markers for these precursor lesions have the potential to predict subsequent invasive tumor. Methods: Circulating cell-free DNA (cfDNA) released from tumor cells into the blood has been intensively studied as a novel way to monitor the genetic changes. To detect the cfDNA representing for the initiation and progression of PDA could be of the candidate for them. The role of cfDNA genotyping targeting the major driver mutations in these precursors, such as KRAS and GNAS, are currently under investigation in Japanese patients who have pancreatic tumors (UMIN000012810). The major technical challenge is to specifically detect the small fraction of tumor-derived DNA in patient plasma and urine. Since sequencing of target mutant alleles in cfDNA has a limitation to detect very low frequency variants, we sought to establish protocols for super-sensitive and absolute quantification of the “key drivers” for pancreatic tumor using a droplet digital PCR platform (Bio-Rad; QX200). The primary endpoint of this multi-center prospective analysis is to evaluate whether such an approach can appropriately monitor the risk of IPMN progression and detect localized early-stage PDA. Thirty cases of PDA and 90 cases of IPMN have been enrolled thus far. Detailed protocol for the study and improved technical points to quantify low-frequency variants will be discussed.

2020 ◽  
Vol 158 (6) ◽  
pp. S-863
Author(s):  
Tetsuhiro Okada ◽  
Yusuke Mizukami ◽  
Kazuya Koizumi ◽  
Kuniyuki Takahashi ◽  
Hirotoshi Iwano ◽  
...  

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Gulfem D. Guler ◽  
Yuhong Ning ◽  
Chin-Jen Ku ◽  
Tierney Phillips ◽  
Erin McCarthy ◽  
...  

Abstract Pancreatic cancer is often detected late, when curative therapies are no longer possible. Here, we present non-invasive detection of pancreatic ductal adenocarcinoma (PDAC) by 5-hydroxymethylcytosine (5hmC) changes in circulating cell free DNA from a PDAC cohort (n = 64) in comparison with a non-cancer cohort (n = 243). Differential hydroxymethylation is found in thousands of genes, most significantly in genes related to pancreas development or function (GATA4, GATA6, PROX1, ONECUT1, MEIS2), and cancer pathogenesis (YAP1, TEAD1, PROX1, IGF1). cfDNA hydroxymethylome in PDAC cohort is differentially enriched for genes that are commonly de-regulated in PDAC tumors upon activation of KRAS and inactivation of TP53. Regularized regression models built using 5hmC densities in genes perform with AUC of 0.92 (discovery dataset, n = 79) and 0.92–0.94 (two independent test sets, n = 228). Furthermore, tissue-derived 5hmC features can be used to classify PDAC cfDNA (AUC = 0.88). These findings suggest that 5hmC changes enable classification of PDAC even during early stage disease.


2018 ◽  
Author(s):  
Francois Collin ◽  
Yuhong Ning ◽  
Tierney Phillips ◽  
Erin McCarthy ◽  
Aaron Scott ◽  
...  

AbstractPancreatic cancers are typically diagnosed at late stage where disease prognosis is poor as exemplified by a 5-year survival rate of 8.2%. Earlier diagnosis would be beneficial by enabling surgical resection or earlier application of therapeutic regimens. We investigated the detection of pancreatic ductal adenocarcinoma (PDAC) in a non-invasive manner by interrogating changes in 5-hydroxymethylation cytosine status (5hmC) of circulating cell free DNA in the plasma of a PDAC cohort (n=51) in comparison with a non-cancer cohort (n=41). We found that 5hmC sites are enriched in a disease and stage specific manner in exons, 3’UTRs and transcription termination sites. Our data show that 5hmC density is reduced in promoters and histone H3K4me3-associated sites with progressive disease suggesting increased transcriptional activity. 5hmC density is differentially represented in thousands of genes, and a stringently filtered set of the most significant genes points to biology related to pancreas (GATA4, GATA6, PROX1, ONECUT1) and/or cancer development (YAP1, TEAD1, PROX1, ONECUT1, ONECUT2, IGF1 and IGF2). Regularized regression models were built using 5hmC densities in statistically filtered genes or a comprehensive set of highly variable 5hmC counts in genes and performed with an AUC = 0.94-0.96 on training data. We were able to test the ability to classify PDAC and non-cancer samples with the Elastic net and Lasso models on two external pancreatic cancer 5hmC data sets and found validation performance to be AUC = 0.74-0.97. The findings suggest that 5hmC changes enable classification of PDAC patients with high fidelity and are worthy of further investigation on larger cohorts of patient samples.


2020 ◽  
Vol 55 (12) ◽  
pp. 1183-1193
Author(s):  
Tetsuhiro Okada ◽  
Yusuke Mizukami ◽  
Yusuke Ono ◽  
Hiroki Sato ◽  
Akihiro Hayashi ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e16215-e16215
Author(s):  
Nahid Forouzandeh ◽  
Sachin Srinivasan ◽  
Katia Jurdi ◽  
John Qiang Wang ◽  
Nathan Tofteland ◽  
...  

e16215 Background: Pancreatic cancer is one of the most fatal cancers worldwide. In addition to patients presenting later in the disease, limitations in current testing modalities pose a challenge to early diagnosis and treatment. Somatic mutations of the K-Ras gene have been suggested as a key driver of pancreatic carcinogenesis and thus proposed as a biomarker for diagnosis and therapy. Majority of these studies utilize tissue-based methods for analyzing K-Ras mutations. In recent years, liquid biopsy assay, in particular, analysis of cell-free DNA (cfDNA), has emerged as a promising noninvasive diagnostic approach in oncology, with the respect to the identification of minimal residual diseases, monitoring treatment response, detection recurrence and metastasis, and identification of chemo-resistance mechanisms. The application of digital PCR based plasma cfDNA K-Ras mutation assay in pancreatic cancer has not been reported. Methods: We included patients who underwent evaluation of a pancreatic lesion detected by conventional radiography (CT/MRI) and confirmed by endoscopic ultrasound (EUS) and biopsy. The biopsies from pancreatic tissues were formalin-fixed and paraffin-embedded (FFPE) for pathological diagnosis, and the total DNA was extracted from the FFPE slides. In addition, matched blood from the same patient was collected at the time of biopsy, and plasma cfDNA was extracted. Both DNA quality and concentration were evaluated. 4.0 ng of DNA was used for droplet digital PCR (ddPCR) analysis. K-Ras G12D, G12V, G12R, G12C, G12A, G12S, and G13D mutations were analyzed by multiplexed assay reagents. The sensitivity cut-off of the multiplexed K-Ras G12/G13 assay was 1.0%. Results: cfDNA could be detected in the initiation of pathological diagnosis. Among the twelve patients with pancreatic lesions, eight (67%) were pancreatic ductal adenocarcinoma (PDAC) (head (4), body (2), tail (2) of the pancreas), one was acute pancreatitis, one was a tail cyst and two were unspecified non-malignant lesions. All the eight PDAC (100%) FFPE tissues exhibited K-Ras G12/13 mutations (Scores: 4.2-41.5%), while none of the non-malignant lesions (0%) demonstrated K-Ras mutations. Interestingly, K-Ras mutations were detected from seven of the eight PDAC patient’s plasma cfDNA (87.5%) (Scores: 1.2-20.7%) while the plasma cfDNA from patients with non-malignant lesions did not show any positive K-Ras mutations. Conclusions: Digital PCR-based plasma cfDNA assay for K-Ras mutation is a promising tool for diagnosis of PDAC and is comparable to tissue-based assays. Larger prospective studies can substantiate this and explore their roles in the prediction and early detection of recurrence of PDAC.


Lung Cancer ◽  
2015 ◽  
Vol 90 (1) ◽  
pp. 78-84 ◽  
Author(s):  
Shu Xia ◽  
Chiang-Ching Huang ◽  
Min Le ◽  
Rachel Dittmar ◽  
Meijun Du ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
A. Rose Brannon ◽  
Gowtham Jayakumaran ◽  
Monica Diosdado ◽  
Juber Patel ◽  
Anna Razumova ◽  
...  

AbstractCirculating cell-free DNA from blood plasma of cancer patients can be used to non-invasively interrogate somatic tumor alterations. Here we develop MSK-ACCESS (Memorial Sloan Kettering - Analysis of Circulating cfDNA to Examine Somatic Status), an NGS assay for detection of very low frequency somatic alterations in 129 genes. Analytical validation demonstrated 92% sensitivity in de-novo mutation calling down to 0.5% allele frequency and 99% for a priori mutation profiling. To evaluate the performance of MSK-ACCESS, we report results from 681 prospective blood samples that underwent clinical analysis to guide patient management. Somatic alterations are detected in 73% of the samples, 56% of which have clinically actionable alterations. The utilization of matched normal sequencing allows retention of somatic alterations while removing over 10,000 germline and clonal hematopoiesis variants. Our experience illustrates the importance of analyzing matched normal samples when interpreting cfDNA results and highlights the importance of cfDNA as a genomic profiling source for cancer patients.


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