Evidence map›Paper›PMID 27233074›Full record

ArticleOncotarget2016

Targeting Notch-1 positive acute leukemia cells by novel fucose-bound liposomes carrying daunorubicin.

Michihiro Ono, Rishu Takimoto, Takahiro Osuga, Yutaka Okagawa, Masahiro Hirakawa, Makoto Yoshida, Yohei Arihara, Naoki Uemura, Naoki Hayasaka, Shogo Miura and 9 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. 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

19 authors at 1 institution in 1 country.

Michihiro OnoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Rishu TakimotoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Takahiro OsugaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yutaka OkagawaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Masahiro HirakawaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Makoto YoshidaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yohei AriharaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Naoki UemuraDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Naoki HayasakaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Shogo MiuraDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Teppei MatsunoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Fumito TamuraDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Yasushi SatoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Tsutomu SatoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Satoshi IyamaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Koji MiyanishiDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Kohichi TakadaDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Masayoshi KobuneDivision of Molecular Oncology, Sapporo Medical University Graduate School of Medicine, Sapporo, Japan.
Junji KatoDepartment of Medical Oncology and Hematology, Sapporo Medical University School of Medicine, Sapporo, Japan.
Sapporo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complete remission by induction therapy in acute myelogenous leukemia (AML) can be achieved due to improvements in supportive and optimized therapy. However, more than 20% of patients will still need to undergo salvage therapy, and most will have a poor prognosis. Determining the specificity of drugs to leukemia cells is important since this will maximize the dose of chemotherapeutic agents that can be administered to AML patients. In turn, this would be expected to lead to reduced drug toxicity and its increased efficacy. We targeted Notch-1 positive AML cells utilizing fucose-bound liposomes, since activation of Notch-1 is required for O-fucosylation. Herein, we report that intravenously injected, L-fucose-bound liposomes containing daunorubicin can be successfully delivered to AML cells that express fucosylated antigens. This resulted in efficient tumor growth inhibition in tumor-bearing mice and decreased proliferation of AML patient-derived leukemia cells. Thus, biological targeting by fucose-bound liposomes that takes advantage of the intrinsic characteristics of AML cells could be a promising new strategy for Notch-1 positive-AML treatment.

Indexed as

AdultAgedAged, 80 and overAnimalsAntibiotics, AntineoplasticCell Line, TumorDaunorubicinFemaleFucoseHL-60 CellsHumansLeukemia, Myeloid, AcuteLiposomesMaleMiceMiddle AgedAntibiotics, AntineoplasticDaunorubicinFucoseLiposomesNOTCH1 protein, humanReceptor, Notch1AMLL-fucoseliposomeNotch-1targeting

Identifiers

PMID27233074
PMCPMC5122413
OpenAlexW2396044684

What OpenQuestion holds

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LicenceCC BY
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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.