Evidence map›Paper›PMID 30760083›Full record

ArticleRNA biology2019

Time resolved gene expression analysis during tamoxifen adaption of MCF-7 cells identifies long non-coding RNAs with prognostic impact.

Martin Porsch, Esra Özdemir, Martin Wisniewski, Sebastian Graf, Fabian Bull, Katrin Hoffmann, Atanas Ignatov, Johannes Haybaeck, Ivo Grosse, Thomas Kalinski and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in RNA biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-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

7 citing papers in PubMed, 12 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

11 authors at 4 institutions in 2 countries.

Martin Porscha Insitute of Computer Science , Martin Luther University Halle-Wittenberg , Halle , Germany.ORCID 0000-0003-3431-2507
Esra Özdemird Institute of Pathology, Otto von Guericke University Magdeburg , Magdeburg , Germany.
Martin Wisniewskid Institute of Pathology, Otto von Guericke University Magdeburg , Magdeburg , Germany.ORCID 0000-0002-0259-9358
Sebastian Grafa Insitute of Computer Science , Martin Luther University Halle-Wittenberg , Halle , Germany.
Fabian Bulla Insitute of Computer Science , Martin Luther University Halle-Wittenberg , Halle , Germany.
Katrin Hoffmannb Institute of Human Genetics , Martin Luther University Halle-Wittenberg , Halle , Germany.
Atanas Ignatove Department of Obstetrics and Gynecology , Otto von Guericke University Magdeburg , Magdeburg , Germany.
Johannes Haybaeckd Institute of Pathology, Otto von Guericke University Magdeburg , Magdeburg , Germany.
Ivo Grossea Insitute of Computer Science , Martin Luther University Halle-Wittenberg , Halle , Germany.ORCID 0000-0001-5318-4825
Thomas Kalinskid Institute of Pathology, Otto von Guericke University Magdeburg , Magdeburg , Germany.
Norbert Nassd Institute of Pathology, Otto von Guericke University Magdeburg , Magdeburg , Germany.ORCID 0000-0003-2563-0386
Otto-von-Guericke-Universität Magdeburg · DEGerman Centre for Integrative Biodiversity Research · DEMartin Luther University Halle-Wittenberg · DEInnsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acquired tamoxifen resistance is a persistent problem for the treatment of estrogen receptor positive, premenopausal breast cancer patients and predictive biomarkers are still elusive. We here analyzed gene expression changes in a cellular model to identify early and late changes upon tamoxifen exposure and thereby novel prognostic biomarkers. Estrogen receptor positive MCF-7 cells were incubated with 4OH-tamoxifen (10 nM) and gene expression analyzed by array hybridization during 12 weeks. Array results were confirmed by nCounter- and qRT-PCR technique. Pathway enrichment analysis revealed that early responses concerned mainly amine synthesis and NRF2-related signaling and evolved into a stable gene expression pattern within 4 weeks characterized by changes in glucuronidation-, estrogen metabolism-, nuclear receptor- and interferon signaling pathways. As a large number of long non coding RNAs was subject to regulation, we investigated 5 of these (linc01213, linc00632 linc0992, LOC101929547 and XR_133213) in more detail. From these, only linc01213 was upregulated but all were less abundant in estrogen-receptor negative cell lines (MDA-MB 231, SKBR-3 and UACC3199). In a web-based survival analysis linc01213 and linc00632 turned out to have prognostic impact. Linc01213 was investigated further by plasmid-mediated over-expression as well as siRNA down-regulation in MCF-7 cells. Nevertheless, this had no effect on proliferation or expression of tamoxifen regulated genes, but migration was increased. In conclusion, the cellular model identified a set of lincRNAs with prognostic relevance for breast cancer. One of these, linc01213 although regulated by 4OH-tamoxifen, is not a central regulator of tamoxifen adaption, but interferes with the regulation of migration.

Indexed as

Drug Resistance, NeoplasmBreast NeoplasmsCell MovementCell ProliferationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMCF-7 CellsPrognosisReceptors, EstrogenRNA, Long NoncodingTamoxifenTime FactorsReceptors, EstrogenRNA, Long NoncodingTamoxifenbiomarkerBreast cancergene expressionlong-non coding RNAstamoxifen

Identifiers

PMID30760083
PMCPMC6546408
OpenAlexW2913461027

What OpenQuestion holds

Textmetadata
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.