Evidence map›Paper›PMID 25355160›Full record

ArticleMolecular and cellular biochemistry2015

OCT4 mutations in human erythroleukemic cells: implications for multiple drug resistance (MDR) phenotype.

Bruno Rodrigues Oliveira, Marcio Azevedo Figueiredo, Gilma Santos Trindade, Luis Fernando Marins

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Article in Molecular and cellular biochemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. ABC Transporters in Cancer Stem Cells: Beyond Chemoresistance.International journal of molecular sciences · 2017
    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

4 authors at 1 institution in 1 country.

Bruno Rodrigues OliveiraInstituto de Ciências Biológicas (ICB), Universidade Federal do Rio Grande - FURG, Rio Grande. Av. Italia Km8, Rio Grande, RS, 96203-900, Brazil.
Marcio Azevedo Figueiredo
Gilma Santos Trindade
Luis Fernando Marins
Universidade Federal do Rio Grande · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The OCT4 transcription factor is a crucial stem cells marker and it has been related to the cancer stem cells concept. Moreover, it has also been associated to the multiple drug resistance (MDR) phenotype. Our first results pointed out a straight relation between OCT4 and ABC transporters in K562-derivative MDR (Lucena) cells. Sequencing of ABC promoters did not reveal any mutation that could explain the differential expression of OCT4 in Lucena cells. Furthermore, sequencing of the homeobox domain region from the OCT4 gene isolated from both cell lines evinced, for the first time, that this transcription factor is a target of mutations and might be related to the MDR phenotype. The encountered mutations implied in several amino acids substitutions in both cell lines. K562 had seven amino acids substituted (three of them exclusive), while Lucena had 13 substitutions (nine of them exclusive). In addition, an in silico search for phosphorylation motifs within the amino acid stretch compared showed that human normal OCT4 has seven potential phosphorylation motifs. However, K562 has lost one phosphorylation motif and Lucena two of them. These findings bring OCT4 as an important target for cancer treatment, especially those resistant to chemotherapy.

Indexed as

Cell Line, TumorDrug Resistance, MultipleHumansLeukemia, Erythroblastic, AcuteMutationNeoplastic Stem CellsOctamer Transcription Factor-3PhosphorylationOctamer Transcription Factor-3POU5F1 protein, human

Identifiers

PMID25355160
OpenAlexW2139367667

What OpenQuestion holds

Textmetadata
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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.