Evidence map›Paper›PMID 32005108›Full record

ArticleBMC cancer2020

Prediction of blood-based biomarkers and subsequent design of bisulfite PCR-LDR-qPCR assay for breast cancer detection.

Manny D Bacolod, Jianmin Huang, Sarah F Giardina, Philip B Feinberg, Aashiq H Mirza, Alexander Swistel, Steven A Soper, Francis Barany

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 14 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Manny D BacolodDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA. mdb2005@med.cornell.edu.ORCID http://orcid.org/0000-0002-2085-4877
Jianmin HuangDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA.
Sarah F GiardinaDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA.
Philip B FeinbergDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA.
Aashiq H MirzaDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA.
Alexander SwistelDepartment of Surgery, Weill Cornell Medicine, New York, NY, 10065, USA.
Steven A SoperDepartment of Mechanical Engineering, The University of Kansas, Lawrence, KS, 66047, USA.
Francis BaranyDepartment of Microbiology and Immunology, Weill Cornell Medicine, New York, NY, 10065, USA. barany@med.cornell.edu.
Cornell University · USUniversity of Kansas · US

Funding

Using Integrated Omics to Identify Dysfunctional Genetic Mechanisms Influencing Schizophrenia and Sleep DisturbancesP20GM130423 · NIGMS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Kalyani Pyaram, Steven Allan Soper · 2019 to 2026
$21.5M
Single-Molecule Processing: Detection and Identification of Single DNAs, RNAs, and Proteins using Immobilized Nanoscale Enzymatic Reactors (INERs) and Nanoscale ElectrophoresisP41EB020594 · NIBIB · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Sunggook Park · 2015 to 2026
$15.2M
AcuamarkDx N/AEarlier.org, Friends for an Earlier Breast Cancer Test EORG 170099-01Laura Crandall Brown Foundation and The Foundation for Women's Cancer N/ANIBIB NIH HHS P41 EB020594NIGMS NIH HHS P20 GM130423NIH HHS P41 EB020594Weill Cornell Medicine funding through distribution of royalties from intellectual property generated by the Barany laboratory N/A
6 · The paper itself

Abstract

backgroundInterrogation of site-specific CpG methylation in circulating tumor DNAs (ctDNAs) has been employed in a number of studies for early detection of breast cancer (BrCa). In many of these studies, the markers were identified based on known biology of BrCa progression, and interrogated using methyl-specific PCR (MSP), a technique involving bisulfite conversion, PCR, and qPCR.

methodsIn this report, we are demonstrating the development of a novel assay (Multiplex Bisulfite PCR-LDR-qPCR) which can potentially offer improvements to MSP, by integrating additional steps such as ligase detection reaction (LDR), methylated CpG target enrichment, carryover protection (use of uracil DNA glycosylase), and minimization of primer-dimer formation (use of ribose primers and RNAseH2). The assay is designed to for breast cancer-specific CpG markers identified through integrated analyses of publicly available genome-wide methylation datasets for 31 types of primary tumors (including BrCa), as well as matching normal tissues, and peripheral blood.

resultsOur results indicate that the PCR-LDR-qPCR assay is capable of detecting ~ 30 methylated copies of each of 3 BrCa-specific CpG markers, when mixed with excess amount unmethylated CpG markers (~ 3000 copies each), which is a reasonable approximation of BrCa ctDNA overwhelmed with peripheral blood cell-free DNA (cfDNA) when isolated from patient plasma. The bioinformatically-identified CpG markers are located in promoter regions of NR5A2 and PRKCB, and a non-coding region of chromosome 1 (upstream of EFNA3). Additional bioinformatic analyses would reveal that these methylation markers are independent of patient race and age, and positively associated with signaling pathways associated with BrCa progression (such as those related to retinoid nuclear receptor, PTEN, p53, pRB, and p27).

conclusionThis report demonstrates the potential utilization of bisulfite PCR-LDR-qPCR assay, along with bioinformatically-driven biomarker discovery, in blood-based BrCa detection.

Indexed as

DNA MethylationBiomarkers, TumorBreast NeoplasmsCell-Free Nucleic AcidsCell Line, TumorCpG IslandsFemaleHumansMCF-7 CellsMultiplex Polymerase Chain ReactionProtein Kinase C betaReceptors, Cytoplasmic and NuclearBiomarkers, TumorCell-Free Nucleic AcidsNR5A2 protein, humanPRKCB protein, humanProtein Kinase C betaReceptors, Cytoplasmic and NuclearBiomarkerBreast cancerEarly detectionLigase detection reactionMethylation

Identifiers

PMID32005108
PMCPMC6995062
OpenAlexW3004712125

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.