Evidence map›Paper›PMID 25405855›Full record

ArticleMolecular medicine reports2015

Reduced tumorigenicity and drug resistance through the downregulation of octamer-binding protein 4 and Nanog transcriptional factor expression in human breast stem cells.

Zheng-Jie Huang, Jun You, Wei-Yuan Luo, Bai-Sheng Chen, Qing-Zhao Feng, Bing-Lin Wu, Long Jiang, Qi Luo

Open access · hybridAbstract read
In one paragraph

Article in Molecular medicine reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  7. Polyphenols Extracted fromMolecules (Basel, Switzerland) · 2020
    Article
  8. Review
  9. NANOG helps cancer cells escape NK cell attack by downregulating ICAM1 during tumorigenesis.Journal of experimental & clinical cancer research : CR · 2019
    Article
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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

8 authors at 1 institution in 1 country.

Zheng-Jie HuangDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Jun YouDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Wei-Yuan LuoDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Bai-Sheng ChenDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Qing-Zhao FengDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Bing-Lin WuDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Long JiangDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
Qi LuoDepartment of Surgical Oncology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, P.R. China.
First Affiliated Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is the most common type of malignancy among females. Previous studies examining breast cancer tissue have demonstrated the presence of stem cells, and have detected octamer‑binding protein 4 (Oct4) and Nanog transcription factor expression. In the present study, breast cancer stem cells (CSCs) were isolated and enriched from MDA‑MB‑231 breast cancer cell lines, and were defined as MDA‑MB‑231 stem cells using flow cytometry. The expression of Oct4 and Nanog in breast CSCs were detected by quantitative polymerase chain reaction and western blotting. RNA interference (RNAi) was used in order to downregulate the expression of Oct4 and Nanog. Drug resistance and tumor‑initiating capability following in vivo injection of MDA‑MB‑231 stem cells trans-duced with negative RNAi, Oct4 RNAi and Nanog RNAi were compared with that of MDA‑MB‑231 stem cells without siRNA transfection as a control group. In addition the capability of MDA‑MB‑231 breast cancer cells to initiate tumor formation in mice was compared with that of MDA‑MB‑231 stem cells. A paclitaxel inhibition test was also conducted in order to detect resistance of MDA‑MB‑231 breast cancer stem cells to this treatment. The MDA‑MB‑231 stem cells were revealed to exhibit elevated percentages of the cluster of differentiation (CD)44+CD24‑/low subset, high tumorigenicity and resistance to chemotherapy, all of which are characteristic stem cell properties. In addition, the MDA‑MB‑231 stem cells were more tumorigenic in vivo. Furthermore, the breast CSCs also expressed high levels of the Oct4 and Nanog transcription factors. Therefore, downregulation of Oct4 or Nanog expression may reduce chemotherapeutic drug resistance and tumorigenicity in breast CSCs. In conclusion, Oct4 and Nanog expression may be a key factor in the development of resistance to chemotherapy and tumor growth of breast CSCs. This finding indicates that Oct4 or Nanog‑targeted therapy may be a promising means of overcoming resistance to chemotherapy and inhibiting tumor growth in breast cancer treatment.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCell Line, TumorCell Transformation, NeoplasticDown-RegulationDrug ResistanceFemaleGene ExpressionHomeodomain ProteinsHumansNanog Homeobox ProteinNeoplastic Stem CellsOctamer Transcription Factor-3PaclitaxelPhenotypeSpheroids, CellularAntineoplastic AgentsHomeodomain ProteinsNanog Homeobox ProteinNANOG protein, humanOctamer Transcription Factor-3Paclitaxel

Identifiers

PMID25405855
PMCPMC4270319
OpenAlexW2168525289

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.