Evidence map›Paper›PMID 30835732›Full record

ArticlePloS one2019

A new highly sensitive real-time quantitative-PCR method for detection of BCR-ABL1 to monitor minimal residual disease in chronic myeloid leukemia after discontinuation of imatinib.

Hiroaki Kitamura, Yoko Tabe, Tomohiko Ai, Koji Tsuchiya, Maiko Yuri, Shigeki Misawa, Takashi Horii, Atsushi Kawaguchi, Akimichi Ohsaka, Shinya Kimura

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. MolecularInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. An Imatinib-non-responsive patient with anClinical case reports · 2020
    Article
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

10 authors at 3 institutions in 1 country.

Hiroaki KitamuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Yoko TabeDepartment of Next Generation Hematology Laboratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.ORCID 0000-0002-3734-0346
Tomohiko AiDepartment of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Koji TsuchiyaDepartment of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Maiko YuriDepartment of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Shigeki MisawaDepartment of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Takashi HoriiDepartment of Clinical Laboratory, Juntendo University Hospital, Bunkyo-ku, Tokyo, Japan.
Atsushi KawaguchiEducation and Research Center for Community Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Akimichi OhsakaDepartment of Next Generation Hematology Laboratory Medicine, Juntendo University Graduate School of Medicine, Bunkyo-ku, Tokyo, Japan.
Shinya KimuraDivision of Hematology, Respiratory Medicine and Oncology, Department of Internal Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Juntendo University Hospital · JPJuntendo University · JPSaga University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors (TKIs) targeting the BCR-ABL1 fusion protein, encoded by the Philadelphia chromosome, have drastically improved the outcomes for patients with chronic myeloid leukemia (CML). Although several real-time quantitative polymerase chain reaction (RQ-PCR) kits for the detection of BCR-ABL1 transcripts are commercially available, their accuracy and efficiency in laboratory practice require reevaluation. We have developed a new in-house RQ-PCR method to detect minimal residual disease (MRD) in CML cases. MRD was analyzed in 102 patients with CML from the DOMEST study, a clinical trial to study the rationale for imatinib mesylate discontinuation in Japan. The BCR-ABL1/ABL1 ratio was evaluated using the international standard (IS) ratio, where IS < 0.1% was defined as a major molecular response. At enrollment, BCR-ABL1 transcripts were undetectable in all samples using a widely-applied RQ-PCR method performed in the commercial laboratory, BML (BML Inc., Tokyo, Japan); however, the in-house method detected the BCR-ABL1 transcripts in five samples (5%) (mean IS ratio: 0.0062 ± 0.0010%). After discontinuation of imatinib, BCR-ABL1 transcripts were detected using the in-house RQ-PCR in 21 patients (21%) that were not positive using the BML method. Nineteen samples were also tested using a commercially available RQ-PCR assay kit with a detection limit of IS ratio, 0.0032 (ODK-1201, Otsuka Pharmaceutical Co., Tokyo, Japan). This method detected low levels of BCR-ABL1 transcripts in 14 samples (74%), but scored negative for five samples (26%) that were positive using the in-house method. From the perspective of the in-house RQ-PCR method, number of patients confirmed loss of MMR was 4. These data suggest that our new in-house RQ-PCR method is effective for monitoring MRD in CML.

Indexed as

AdolescentAdultAgedAged, 80 and overFusion Proteins, bcr-ablHumansImatinib MesylateLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMiddle AgedMonitoring, PhysiologicNeoplasm, ResidualProtein Kinase InhibitorsReal-Time Polymerase Chain ReactionWithholding TreatmentYoung AdultFusion Proteins, bcr-ablImatinib MesylateProtein Kinase Inhibitors

Identifiers

PMID30835732
PMCPMC6400442
OpenAlexW2953080307

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.