Evidence map›Paper›PMID 27634874›Full record

ArticleOncotarget2016

Integrating microRNA and mRNA expression profiles of acute promyelocytic leukemia cells to explore the occurrence mechanisms of differentiation syndrome.

Yingmei Zhang, Jinxiao Hou, Fei Ge, Fenglin Cao, Haitao Li, Ping Wang, Mengyuan Xu, Peng Song, Xiaoxia Li, Shuye Wang and 8 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Thrombosis in Myeloid Malignancies: From CHIP to AML.Cardiovascular & hematological disorders drug targets · 2024
    Review
  3. 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

18 authors at 2 institutions in 1 country.

Yingmei ZhangCentral Laboratory, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Jinxiao HouDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Fei GeDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Fenglin CaoCentral Laboratory, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Haitao LiDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Ping WangDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Mengyuan XuDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Peng SongCentral Laboratory, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Xiaoxia LiDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Shuye WangDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Jinmei LiDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Xueying HanDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Yanhong ZhaoDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Yanhua SuDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Yinghua LiDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Shengjin FanDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Limin LiDepartment of Hematology, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Jin ZhouCentral Laboratory, The First Affiliated Hospital, Harbin Medical University, Harbin, China.
Harbin Medical University · CNFirst Affiliated Hospital of Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The pathogenesis of therapy-induced differentiation syndrome (DS) in patients with acute promyelocytic leukemia (APL) remains unclear. In this study, mRNA and microRNA (miRNA) expression profiling of peripheral blood APL cells from patients complicated with vs. without DS were integratively analyzed to explore the mechanisms underlying arsenic trioxide treatment-associated DS. By integrating the differentially expressed data with the data of differentially expressed microRNAs and their computationally predicted target genes, as well as the data of transcription factors and differentially expressed target microRNAs obtained from a literature search, a DS-related genetic regulatory network was constructed. Then using an EAGLE algorithm in clusterViz, the network was subdivided into 10 modules. Using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database the modules were annotated functionally, and three functionally active modules were recognized. The further in-depth analyses on the annotated functions of the three modules and the expression and roles of the related genes revealed that proliferation, differentiation, apoptosis and infiltration capability of APL cells might play important roles in the DS pathogenesis. The results could improve our understanding of DS pathogenesis from a more overall perspective, and could provide new clues for future research.

Indexed as

Cell DifferentiationCell Line, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, LeukemicGene Regulatory NetworksHumansLeukemia, Promyelocytic, AcuteMicroRNAsMolecular Sequence AnnotationReproducibility of ResultsRNA, MessengerTranscriptomeMicroRNAsRNA, Messengeracute promyelocytic leukemiadifferentiation syndromemicroarraysmicroRNAmRNA

Identifiers

PMID27634874
PMCPMC5341995
OpenAlexW2519872574

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.