Evidence map›Paper›PMID 29500381›Full record

ArticleCell death & disease2018

gDNA qPCR is statistically more reliable than mRNA analysis in detecting leukemic cells to monitor CML.

Alessia Rainero, Fabrizio Angaroni, Francesca D'Avila, Andrea Conti, Cristina Pirrone, Giovanni Micheloni, Lucia Tararà, Giorgia Millefanti, Emanuela Maserati, Roberto Valli and 10 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cell death & disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 7 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

20 authors at 6 institutions in 1 country.

Alessia RaineroDepartment of Medicine and Surgery, University of Insubria, Varese, Italy. alessia.rainero@gmail.com.ORCID 0000-0002-3794-4385
Fabrizio AngaroniDepartment of Science and High Technology, University of Insubria, Como, Italy.
Francesca D'AvilaImmunology and Functional Genomics Unit, Centro Cardiologico Monzino IRCCS, via Parea 4, 20138, Milan, Italy.
Andrea ContiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Cristina PirroneDepartment of Biology and Life Sciences, University of Insubria, Varese, Italy.
Giovanni MicheloniDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Lucia TararàDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Giorgia MillefantiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Emanuela MaseratiDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Roberto ValliDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
Orietta SpinelliDepartment of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.ORCID 0000-0003-0374-1536
Ksenija BuklijasDepartment of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Anna MichelatoDepartment of Hematology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Rosario CasaloneDepartment of Genetics and Cytogenetics, ASST Sette Laghi, Ospedale di Circolo Fondazione Macchi, Varese, Italy.
Cristina BarlassinaDepartment of Health Sciences, University of Milan, Milan, Italy.
Matteo BarcellaDepartment of Health Sciences, University of Milan, Milan, Italy.
Silvia SirchiaDepartment of Health Sciences, University of Milan, Milan, Italy.
Eleonora PiscitelliBiomedical Technologies Institute, CNR, Milan, Italy.
Massimo CacciaDepartment of Science and High Technology, University of Insubria, Como, Italy.ORCID 0000-0002-9499-678X
Giovanni PortaDepartment of Medicine and Surgery, University of Insubria, Varese, Italy.
University of Insubria · ITOspedale Papa Giovanni XXIII · ITUniversity of Milan · ITCentro Cardiologico Monzino · ITInstitute of Biomedical Technologies · ITOspedale di Circolo e Fondazione Macchi · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Myeloid Leukemia (CML) is a stem cell cancer that arises when t(9;22) translocation occurs in a hematopoietic stem cells. This event results in the expression of the BCR-ABL1 fusion gene, which codes for a constitutively active tyrosine kinase that is responsible for the transformation of a HSC into a CML stem cell, which then gives rise to a clonal myeloproliferative disease. The introduction of Tyrosine Kinase Inhibitors (TKIs) has revolutionized the management of the disease. However, these drugs do not seem to be able to eradicate the malignancy. Indeed, discontinuation trials (STIM; TWISER; DADI) for those patients who achieved a profound molecular response showed 50% relapsing within 12 months. We performed a comparative analysis on 15 CML patients and one B-ALL patient, between the standard quantitative reverse-transcriptase PCR (qRT-PCR) and our genomic DNA patient-specific quantitative PCR assay (gDNA qPCR). Here we demonstrate that gDNA qPCR is better than standard qRT-PCR in disease monitoring after an average follow-up period of 200 days. Specifically, we statistically demonstrated that DNA negativity is more reliable than RNA negativity in indicating when TKIs therapy can be safely stopped.

Indexed as

AgedDNAFemaleFollow-Up StudiesFusion Proteins, bcr-ablHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedNeoplastic Stem CellsPrecursor B-Cell Lymphoblastic Leukemia-LymphomaProtein Kinase InhibitorsProtein-Tyrosine KinasesReal-Time Polymerase Chain ReactionReproducibility of ResultsBCR-ABL1 fusion protein, humanDNAFusion Proteins, bcr-ablImatinib MesylateProtein Kinase InhibitorsProtein-Tyrosine KinasesRNA, Messenger

Identifiers

PMID29500381
PMCPMC5834620
OpenAlexW2791561208

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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.