Evidence map›Paper›PMID 28791417›Full record

ArticleMolecular medicine reports2017

Diverse gene expression patterns in response to anticancer drugs between human and mouse cell lines revealed by a comparative transcriptomic analysis.

Yong Guo, Zhuoran Liang, Xiaoliang Hou, Zhi Zhang

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Yong GuoSchool of Forestry, Northeast Forestry University, Harbin, Heilongjiang 150040, P.R. China.
Zhuoran LiangSchool of Forestry, Northeast Forestry University, Harbin, Heilongjiang 150040, P.R. China.
Xiaoliang HouDepartment of Food Engineering, Heilongjiang Vocational College for Nationalities, Harbin, Heilongjiang 150066, P.R. China.
Zhi ZhangSchool of Forestry, Northeast Forestry University, Harbin, Heilongjiang 150040, P.R. China.
Northeast Forestry University · CNHeilongjiang Vocational Institute of Ecological Engineering · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to perform comparative genomics using gene expression profile datasets of mice and humans who had been treated with anticancer drugs, to determine the similarities and differences in the antitumor mechanisms in the two mammals. This involved data mining of antitumor gene expression regulation, and screening of genetic loci from experimental mouse models of antitumor targets, to provide a theoretical basis of drug design. Subsequently, 9 overlapping genes with opposite expression patterns were identified across mouse and human cell lines that were treated with a specific cyclin‑dependent kinase 4/6 inhibitor, PD0332991. These genes included LIM homeobox 2, adenomedullin, bone marrow stromal cell antigen 1, caveolin 1, histone cluster 1 (HIST1) H2B family member C, HIST1 H3 family member F, low density lipoprotein‑receptor related protein 11, prolyl 4‑hydroxylase subunit α1 and torsin family 3 member A. In addition, the janus kinase‑signal transducer and activator of transcription signaling pathway, Toll‑like receptor signaling pathway, T cell receptor signaling pathway and the nucleotide‑binding oligomerization domain‑like receptor signaling pathway were identified as candidate pathways for explaining antitumor mechanisms.

Indexed as

Gene Expression ProfilingTranscriptomeAnimalsAntineoplastic AgentsCell Line, TumorComputational BiologyDatabases, GeneticGene Expression Regulation, NeoplasticHumansMiceNeoplasmsSignal TransductionAntineoplastic Agents

Identifiers

PMID28791417
PMCPMC5647007
OpenAlexW2742434807

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.