Evidence map›Paper›PMID 38628436›Full record

ArticleTherapeutic advances in hematology2024

Advancements in minimal residual disease detection: a practical approach using single-cell droplet PCR for comprehensive monitoring in hematological malignancy.

Satoshi Uchiyama, Kentaro Fukushima, Seiichiro Katagiri, Junichi Tsuchiya, Tomohiro Kubo, SungGi Chi, Yosuke Minami

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 1 country.

Satoshi UchiyamaDepartment of Hematology, National Cancer Center East Hospital, Kashiwa, Japan.
Kentaro FukushimaDepartment of Hematology and Oncology, Osaka University Graduate School of Medicine, Suita, Japan.ORCID https://orcid.org/0000-0002-8003-2584
Seiichiro KatagiriDepartment of Hematology, Tokyo Medical University Hospital, Shinjuku City, Japan.
Junichi TsuchiyaDepartment of Research and Development, TL Genomics Inc., Koganei City, Japan.
Tomohiro KuboDepartment of Research and Development, TL Genomics Inc., Koganei City, Japan.
SungGi ChiDepartment of Hematology, National Cancer Center East Hospital, Kashiwa, Japan.
Yosuke MinamiDepartment of Hematology, National Cancer Center East Hospital, 2-7-1 Kashiwano-ha, Kashiwa, Chiba 277-8577, Japan.
National Cancer Center Hospital East · JPThe University of Osaka · JPTokyo Medical University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of chromosomal abnormalities accompanied by copy number alterations is important for understanding tumor characteristics. Testing methodologies for copy number abnormality have limited sensitivity, resulting in their use only for the sample provided at the time of diagnosis or recurrence of malignancy, but not for the monitoring of minimal residual disease (MRD) during and after therapy. We developped the "DimShift" technology which enable to measure the copy number of target gene/chromosome in each cell, which is given by the single cell droplet PCR. Qualitative result of DimShift given by peripheral blood was perfectly concordant with that of bone marrow. These findings and performances are promising to be the new methodology for MRD detection in malignant diseases utilizing bone marrow as well as peripheral blood.

Indexed as

chromosomal abnormalitiesdroplet digital PCRminimal residual diseasemyelodysplastic syndrome

Identifiers

PMID38628436
PMCPMC11020714
OpenAlexW4394826891

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.