Evidence map›Paper›PMID 27656831›Full record

ArticleOncology research2016

Induction of Multidrug Resistance of Acute Myeloid Leukemia Cells by Cocultured Stromal Cells via Upregulation of the PI3K/Akt Signaling Pathway.

Ping Chen, Qing Jin, Qiang Fu, Peidong You, Xi Jiang, Qin Yuan, Huifang Huang

Open access · hybridAbstract read
In one paragraph

Article in Oncology research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.4field-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

19 citing papers in PubMed, 25 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

7 authors at 1 institution in 1 country.

Ping ChenFujian Institute of Hematology, Fujian Provincial Key Laboratory of Hematology, Fujian Medical University Union Hospital, Fujian, P.R. China.
Qing Jin
Qiang Fu
Peidong You
Xi Jiang
Qin Yuan
Huifang Huang
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the role of the PI3K/Akt signaling pathway in multidrug resistance of acute myeloid leukemia (AML) cells induced by cocultured stromal cells. Human AML cell lines HL-60 and U937 were adhesion cocultured with human bone marrow stromal cell line HS-5 cells. Such coculturing induced HL-60 and U937 cells resistant to chemotherapeutic drugs including daunorubicin (DNR), homoharringtonine (HHT), and cytosine arabinoside (Ara-C). The coculturing-induced resistance of AML cells to DNR, HHT, and Ara-C can be partially reversed by inhibition of the PI3K/Akt signaling pathway. Clinically, AML patients with a low level of PTEN and a high level of CCND1 had high relapse rates within 1 year, and newly diagnosed AML patients with extramedullary infiltration had a low level of PTEN. This study confirms the involvement of the PI3K/Akt signaling pathway in multidrug resistance in AML cells induced by stroma and suggests that the expression of PTEN and CCND1 may be a prognostic indicator for AML.

Indexed as

Drug Resistance, MultipleDrug Resistance, NeoplasmSignal TransductionAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2BiomarkersCell Line, TumorCoculture TechniquesHumansPhosphatidylinositol 3-KinasesPrognosisProto-Oncogene Proteins c-aktStromal CellsAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2BiomarkersPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID27656831
PMCPMC7838662
OpenAlexW2511694050

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.