Evidence map›Paper›PMID 25628645›Full record

ArticleFrontiers in genetics2014

Identification of genetic variants or genes that are associated with Homoharringtonine (HHT) response through a genome-wide association study in human lymphoblastoid cell lines (LCLs).

Yin Tong, Nifang Niu, Gregory Jenkins, Anthony Batzler, Liang Li, Krishna R Kalari, Liewei Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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  4. Cephalotaxus Alkaloids.The Alkaloids. Chemistry and biology
    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

7 authors at 2 institutions in 2 countries.

Yin TongDepartment of Hematology, Shanghai General Hospital, Shanghai Jiao Tong University Affiliated First People's Hospital Shanghai, China.
Nifang NiuDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, MN, USA.
Gregory JenkinsDivision of Statistic and Bioinformatics, Department of Health Science Research, Mayo Clinic Rochester, MN, USA.
Anthony BatzlerDivision of Statistic and Bioinformatics, Department of Health Science Research, Mayo Clinic Rochester, MN, USA.
Liang LiDepartment of Oncology, Institute of Medicinal Biotechnology, Peking Union Medical College and Chinese Academy of Medical Sciences Beijing, China.
Krishna R KalariDivision of Statistic and Bioinformatics, Department of Health Science Research, Mayo Clinic Rochester, MN, USA.
Liewei WangDepartment of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic Rochester, MN, USA.
Mayo Clinic · USShanghai Jiao Tong University · CN

Funding

Pharmacogenetics of Phase II Drug Metabolizing EnzymesU19GM061388 · NIGMS · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2010 to 2014
$15.8M
NIGMS NIH HHS U19 GM061388
6 · The paper itself

Abstract

Homoharringtonine (HHT) has been widely used in China to treat patients with acute and chronic myeloid leukemia for decades. Since response to HHT varies among patients, our study aimed to identify biomarkers that might influence the response to HHT using a panel of various human lymphoblastoid cell lines (LCLs). Genome-wide association (GWA) analysis using single nucleotide polymorphism (SNP) and mRNA expression data was assessed for association with cytotoxicity to HHT in LCLs. Integrated analysis among SNPs, expression, AUC value was also performed to help select candidate genes for further functional characterization. Functional validation of candidate genes was performed using leukemia cell lines (U937, K562). Candidate genes were knocked down using specific siRNA and its response to HHT was assessed using MTS assay. We found that 15 expression probes were associated with HHT AUC with P < 10(-4), and 96 individual probe sets with P < 10(-3). Eighteen SNPs were associated with HHT AUC with P < 10(-5) and 281 SNPs with P < 10(-4). The integrated analysis identified 4 unique SNPs that were associated with both expression and AUC. Functional validation using siRNA knockdown in leukemia cell lines showed that knocking down CCDC88A, CTBP2, SOCS4 genes in U937 and K562 cells significantly altered HHT cytotoxicity. In summary, this study performed with LCLs can help to identify novel biomarker that might contribute to variation in response to HHT therapy.

Indexed as

biomarkersgenome-wide association studyHomoharringtonine (HHT)leukemialymphoblastoid cell line system

Identifiers

PMID25628645
PMCPMC4292778
OpenAlexW2063153686

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.