Evidence map›Paper›PMID 25782411›Full record

ReviewCellular and molecular life sciences : CMLS2015

The novel role of miRNAs for tamoxifen resistance in human breast cancer.

Wenwen Zhang, Jing Xu, Yaqin Shi, Qian Sun, Qun Zhang, Xiaoxiang Guan

Open access · greenAbstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

17 citing papers in PubMed, 31 citations in OpenAlex.

  1. Review
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  3. miRNAs as emerging predictors of tamoxifen resistance in breast cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025
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  16. Article
  17. Tamoxifen Resistance: Emerging Molecular Targets.International journal of molecular sciences · 2016
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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

6 authors at 3 institutions in 1 country.

Wenwen ZhangDepartment of Medical Oncology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, China.
Jing Xu
Yaqin Shi
Qian Sun
Qun Zhang
Xiaoxiang Guan
Nanjing Medical University · CNNanjing General Hospital of Nanjing Military Command · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The selective estrogen receptor modulator tamoxifen is the most commonly used treatment for patients with ER-positive breast cancer. However, tumor cells often develop resistance to tamoxifen therapy, which is a major obstacle limiting the success of breast cancer treatment. miRNAs, as oncogenic or tumor suppressor genes, regulate the expression and function of their related target genes to affect the biological behaviors of cancer cells, including cancer initiation, progression, metastasis, and therapeutic resistance. In detail, many miRNAs associated with breast cancer tamoxifen resistance have been identified, which offer new targets for breast cancer therapy. Here, we review the miRNAs involved in regulation of tamoxifen resistance in human breast cancer and the mechanism of how the modulation of miRNAs may regulate the sensitivity of breast cancer cells to tamoxifen. We also discuss the future prospects of studies about miRNAs in regulation of tamoxifen resistance and miRNA-based therapeutics for tamoxifen resistance breast cancer patients.

Indexed as

Models, BiologicalBreast NeoplasmsCell CycleDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionExtracellular MatrixFemaleGenes, Tumor SuppressorHumansMicroRNAsReceptors, EstrogenSignal TransductionTamoxifenMicroRNAsReceptors, EstrogenTamoxifen

Identifiers

PMID25782411
PMCPMC11113898
OpenAlexW2077027168

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.