Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Dianna Maar is active.

Publication


Featured researches published by Dianna Maar.


Clinical Cancer Research | 2014

Detection of Cancer DNA in Plasma of Patients with Early-Stage Breast Cancer

Julia A. Beaver; Danijela Jelovac; Sasidharan Balukrishna; Rory L. Cochran; Sarah Croessmann; Daniel J. Zabransky; Hong Yuen Wong; Patricia Valda Toro; Justin Cidado; Brian G. Blair; David Chu; Timothy F. Burns; Michaela J. Higgins; Vered Stearns; Lisa K. Jacobs; Mehran Habibi; Julie R. Lange; Paula J. Hurley; Josh Lauring; Dustin A. VanDenBerg; Jill Kessler; Stacie Jeter; Michael L. Samuels; Dianna Maar; Leslie Cope; Ashley Cimino-Mathews; Pedram Argani; Antonio C. Wolff; Ben Ho Park

Purpose: Detecting circulating plasma tumor DNA (ptDNA) in patients with early-stage cancer has the potential to change how oncologists recommend systemic therapies for solid tumors after surgery. Droplet digital polymerase chain reaction (ddPCR) is a novel sensitive and specific platform for mutation detection. Experimental Design: In this prospective study, primary breast tumors and matched pre- and postsurgery blood samples were collected from patients with early-stage breast cancer (n = 29). Tumors (n = 30) were analyzed by Sanger sequencing for common PIK3CA mutations, and DNA from these tumors and matched plasma were then analyzed for PIK3CA mutations using ddPCR. Results: Sequencing of tumors identified seven PIK3CA exon 20 mutations (H1047R) and three exon 9 mutations (E545K). Analysis of tumors by ddPCR confirmed these mutations and identified five additional mutations. Presurgery plasma samples (n = 29) were then analyzed for PIK3CA mutations using ddPCR. Of the 15 PIK3CA mutations detected in tumors by ddPCR, 14 of the corresponding mutations were detected in presurgical ptDNA, whereas no mutations were found in plasma from patients with PIK3CA wild-type tumors (sensitivity 93.3%, specificity 100%). Ten patients with mutation-positive ptDNA presurgery had ddPCR analysis of postsurgery plasma, with five patients having detectable ptDNA postsurgery. Conclusions: This prospective study demonstrates accurate mutation detection in tumor tissues using ddPCR, and that ptDNA can be detected in blood before and after surgery in patients with early-stage breast cancer. Future studies can now address whether ptDNA detected after surgery identifies patients at risk for recurrence, which could guide chemotherapy decisions for individual patients. Clin Cancer Res; 20(10); 2643–50. ©2014 AACR.


Clinical Chemistry | 2015

Screening Newborn Blood Spots for 22q11.2 Deletion Syndrome Using Multiplex Droplet Digital PCR

Dalyir Pretto; Dianna Maar; Carolyn M. Yrigollen; Jack Regan; Flora Tassone

BACKGROUND The diagnosis of 22q11 deletion syndrome (22q11DS) is often delayed or missed due to the wide spectrum of clinical involvement ranging from mild to severe, often life-threatening conditions. A delayed diagnosis can lead to life-long health issues that could be ameliorated with early intervention and treatment. Owing to the high impact of 22q11DS on public health, propositions have been made to include 22q11DS in newborn screening panels; however, the method of choice for detecting 22q11DS, fluorescent in situ hybridization, requires specialized equipment and is cumbersome for most laboratories to implement as part of their routine screening. We sought to develop a new genetic screen for 22q11DS that is rapid, cost-effective, and easily used by laboratories currently performing newborn screening. METHODS We evaluated the accuracy of multiplex droplet digital PCR (ddPCR) in the detection of copy number of 22q11DS by screening samples from 26 patients with 22q11DS blindly intermixed with 1096 blood spot cards from the general population (total n = 1122). RESULTS Multiplex ddPCR correctly identified all 22q11DS samples and distinguished between 1.5- and 3-Mb deletions, suggesting the approach is sensitive and specific for the detection of 22q11DS. CONCLUSIONS These data demonstrate the utility of multiplex ddPCR for large-scale population-based studies that screen for 22q11DS. The use of samples from blood spot cards suggests that this approach has promise for newborn screening of 22q11DS, and potentially for other microdeletion syndromes, for which early detection can positively impact clinical outcome for those affected.


BMC Medical Genetics | 2014

Mapping the deletion endpoints in individuals with 22q11.2 Deletion Syndrome by droplet digital PCR

Vicki J. Hwang; Dianna Maar; John F. Regan; Kathleen Angkustsiri; Tony J. Simon; Flora Tassone

BackgroundChromosome 22q11.2 deletion syndrome (22q11DS) is the most common human microdeletion syndrome and is associated with many cognitive, neurological and psychiatric disorders. The majority of individuals have a 3 Mb deletion while others have a nested 1.5 Mb deletion, but rare atypical deletions have also been described. To date, a study using droplet digital PCR (ddPCR) has not been conducted to systematically map the chromosomal breakpoints in individuals with 22q11DS, which would provide important genotypic insight into the various phenotypes observed in this syndrome.MethodsThis study uses ddPCR to assess copy number (CN) changes within the chromosome 22q11 deletion region and allows the mapping of the deletion endpoints. We used eight TaqMan assays interspersed throughout the deleted region of 22q11.2 to characterize the deleted region of chromosome 22 in 80 individuals known to have 22q11DS by FISH. Ten EvaGreen assays were used for finer mapping of the six identified individuals with 22q11DS atypical deletions and covering different regions of chromosome 22.ResultsddPCR provided non-ambiguous CN measurements across the region, confirmed the presence of the deletion in the individuals screened, and led to the identification of five differently sized and located deletions. The majority of the participants (n = 74) had the large 3 Mb deletions, whereas three had the smaller 1.5 Mb deletions, and the remaining three had an interstitial deletion of different size.ConclusionsThe lower cost, rapid execution and high reliability and specificity provided by ddPCR for CN measurements in the 22q11 region constitutes a significant improvement over the variable CN values generated by other technologies. The ability of the ddPCR approach, to provide a high resolution mapping of deletion endpoints may result in the identification of genes that are haplo-insufficient and play a role in the pathogenesis of 22q11DS. Finally, this methodology can be applied to the characterization of other microdeletions throughout the genome.


Analytical Chemistry | 2013

Multiplexed target detection using DNA-binding dye chemistry in droplet digital PCR.

Geoffrey P. McDermott; Duc Do; Claudia Litterst; Dianna Maar; Christopher M. Hindson; Erin Steenblock; Tina C. Legler; Yann Jouvenot; Samuel H. Marrs; Adam Bemis; Pallavi Shah; Josephine Wong; Shenglong Wang; David Sally; Leanne Javier; Theresa Dinio; Chunxiao Han; Timothy P. Brackbill; Shawn Hodges; Yunfeng Ling; Niels Klitgord; George Carman; Jennifer R. Berman; Ryan Koehler; Amy L. Hiddessen; Pramod Walse; Luc J. Bousse; Svilen Tzonev; Eli Hefner; Benjamin J. Hindson


The Journal of Molecular Diagnostics | 2017

Development and Clinical Utility of a Blood-Based Test Service for the Rapid Identification of Actionable Mutations in Non–Small Cell Lung Carcinoma

Hestia Mellert; Trudi Foreman; Leisa Jackson; Dianna Maar; Scott Thurston; Kristina Koch; Amanda Weaver; Samantha Cooper; Nicholas Dupuis; Ubaradka G. Sathyanarayana; Jakkie Greer; Westen Hahn; Dawne N. Shelton; Paula Stonemetz; Gary Pestano


Archive | 2014

DIGITAL ASSAYS WITH A GENERIC REPORTER

Duc Do; Claudia Litterst; Dianna Maar


Archive | 2014

MULTIPLEXED DIGITAL ASSAY WITH SPECIFIC AND GENERIC REPORTERS

John F. Regan; Svilen Tzonev; Yann Jouvenot; Claudia Litterst; Dianna Maar; Geoff McDermott


Cancer Research | 2018

Abstract 5573: Highly multiplexed diagnostic test for the detection of extended EGFR del19 variants in patients with NSCLC

Hestia Mellert; Leisa Jackson; Kristin Alexander; Amanda Weaver; Dianna Maar; Dawne N. Shelton; Gary Pestano


Archive | 2017

SPLIT-CYCLE AND TAPE AMPLIFICATION

Nicholas J. Heredia; Dianna Maar


Archive | 2016

SMALL NUCLEIC ACID QUANTIFICATION USING SPLIT CYCLE AMPLIFICATION

Dianna Maar; Samantha Cooper; Wei Yang

Collaboration


Dive into the Dianna Maar's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Hestia Mellert

Thomas Jefferson University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Duc Do

Bio-Rad Laboratories

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Flora Tassone

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge