Evidence map›Paper›PMID 29719934›Full record

Trial reportCancer science2018

Pretreatment evaluation of fluorescence resonance energy transfer-based drug sensitivity test for patients with chronic myelogenous leukemia treated with dasatinib.

Takeshi Kondo, Mari Fujioka, Masumi Tsuda, Kazunori Murai, Kohei Yamaguchi, Takuto Miyagishima, Motohiro Shindo, Takahiro Nagashima, Kentaro Wakasa, Nozomu Fujimoto and 20 more

Abstract readClinical Trial
In one paragraph

Trial report in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
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

30 authors.

Takeshi KondoDepartment of Hematology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.ORCID http://orcid.org/0000-0001-7455-5824
Mari FujiokaDepartment of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Masumi TsudaDepartment of Cancer Pathology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Kazunori MuraiDivision of Hematology and Oncology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Kohei YamaguchiDivision of Hematology, Aomori Prefectural Central Hospital, Aomori, Japan.
Takuto MiyagishimaDepartment of Internal Medicine, Japan Labour Health and Welfare Organization, Kushiro Rosai Hospital, Kushiro, Japan.
Motohiro ShindoDivision of Gastroenterology and Hematology/Oncology, Asahikawa Medical University, Asahikawa, Japan.
Takahiro NagashimaDepartment of Internal Medicine/General Medicine, Kitami Red Cross Hospital, Kitami, Japan.
Kentaro WakasaDivision of Hematology, Hokkaido P.W.F.A.C. Obihiro-Kosei General Hospital, Obihiro, Japan.
Nozomu FujimotoDivision of Hematology, Kaisei Hospital, Sapporo, Japan.
Satoshi YamamotoDepartment of Hematology, Sapporo City General Hospital, Sapporo, Japan.
Masakatsu YonezumiDepartment of Hematology, Hokkaido Cancer Center, Sapporo, Japan.
Souichi SaitoDepartment of Internal Medicine, Nihonkai General Hospital, Sakata, Japan.
Shinji SatoDepartment of Hematology, Okitama Public General Hospital, Okitama, Japan.
Kazuei OgawaDepartment of Cardiology and Hematology, Fukushima Medical University, Fukushima, Japan.
Takaaki ChouDepartment of Internal Medicine, Niigata Cancer Center Hospital, Niigata, Japan.
Reiko WatanabeDepartment of Hematology, Saitama Medical Center, Saitama Medical University, Kawagoe, Japan.
Yuichi KatoDepartment of Hematology, Faculty of Medicine, Yamagata University, Yamagata, Japan.
Shuichiro TakahashiDepartment of Hematology, Yamagata Prefectural Central Hospital, Yamagata, Japan.
Yoshiaki OkanoDepartment of Hematology, Iwate Prefectural Miyako Hospital, Miyako, Japan.
Joji YamamotoDepartment of Hematology, Sendai City Hospital, Sendai, Japan.
Masatsugu OhtaDepartment of Hematology, Aizu Medical Center, Fukushima Medical University, Aizuwakamatsu, Japan.
Hiroaki IijimaHokkaido University Hospital Clinical Research and Medical Innovation Center, Sapporo, Japan.
Koji ObaDepartment of Biostatistics, School of Public Health, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Satoshi KishinoDepartment of Medication Use Analysis and Clinical Research, Meiji Pharmaceutical University, Kiyose, Japan.
Junichi SakamotoTokai Central Hospital, Kakamigahara, Japan.
Yoji IshidaDivision of Hematology and Oncology, Department of Internal Medicine, Iwate Medical University School of Medicine, Morioka, Japan.
Yusuke OhbaDepartment of Cell Physiology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Takanori TeshimaDepartment of Hematology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Inter-Michinoku Dasatinib Study Group (IMIDAS)

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tyrosine kinase inhibitors (TKI) are used for primary therapy in patients with newly diagnosed CML. However, a reliable method for optimal selection of a TKI from the viewpoint of drug sensitivity of CML cells has not been established. We have developed a FRET-based drug sensitivity test in which a CrkL-derived fluorescent biosensor efficiently quantifies the kinase activity of BCR-ABL of living cells and sensitively evaluates the inhibitory activity of a TKI against BCR-ABL. Here, we validated the utility of the FRET-based drug sensitivity test carried out at diagnosis for predicting the molecular efficacy. Sixty-two patients with newly diagnosed chronic phase CML were enrolled in this study and treated with dasatinib. Bone marrow cells at diagnosis were subjected to FRET analysis. The ΔFRET value was calculated by subtraction of FRET efficiency in the presence of dasatinib from that in the absence of dasatinib. Treatment response was evaluated every 3 months by the BCR-ABL1 International Scale. Based on the ΔFRET value and molecular response, a threshold of the ΔFRET value in the top 10% of FRET efficiency was set to 0.31. Patients with ΔFRET value ≥0.31 had significantly superior molecular responses (MMR at 6 and 9 months and both MR4 and MR4.5 at 6, 9, and 12 months) compared with the responses in patients with ΔFRET value <0.31. These results suggest that the FRET-based drug sensitivity test at diagnosis can predict early and deep molecular responses. This study is registered with UMIN Clinical Trials Registry (UMIN000006358).

Indexed as

Patient SelectionAdultAgedAged, 80 and overAntineoplastic AgentsBiosensing TechniquesDasatinibDrug Resistance, NeoplasmFemaleFluorescence Resonance Energy TransferFusion Proteins, bcr-ablHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedAntineoplastic AgentsBCR-ABL1 fusion protein, humanDasatinibFusion Proteins, bcr-ablBCR-ABLchronic myeloid leukemiadrug sensitivity testfluorescence resonance energy transfertyrosine kinase inhibitor

Identifiers

PMID29719934
PMCPMC6029835

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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.