Evidence map›Paper›PMID 26797784›Full record

ReviewTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Extracellular vesicles in breast cancer drug resistance and their clinical application.

Shentong Yu, Yifang Wei, Yuqiao Xu, Yuan Zhang, Jipeng Li, Jian Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
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  10. The choice of endogenous controls in exosomal microRNA assessments from biofluids.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 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 2 institutions in 1 country.

Shentong YuDepartment of Biochemistry and Molecular Biology, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.
Yifang WeiDepartment of Biochemistry and Molecular Biology, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.
Yuqiao XuDepartment of Pathology, Xijing Hospital, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China.
Yuan ZhangDepartment of Oncology, The State Key Discipline of Cell Biology, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China.
Jipeng LiState Key Laboratory of Cancer Biology, Institute of Digestive Diseases, Xijing Hospital, The Fourth Military Medical University, Xi'an, 710032, China. jipengli1974@aliyun.com.
Jian ZhangDepartment of Biochemistry and Molecular Biology, State Key Laboratory of Cancer Biology, The Fourth Military Medical University, Xi'an, 710032, China. biozhangj@hotmail.com.
Air Force Medical University · CNXijing Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug resistance currently represents a daunting challenge in the treatment of breast cancer patients. With an increased understanding of the underlying mechanisms of drug resistance, the role of extracellular vesicles (EVs) in the development of chemo-insensitivity attracts extensive attention. EVs are membrane-limited, cell type-dependent vesicles that are secreted by normal or malignant cells. EVs comprise various types of contents, including genetic cargoes, proteins, and specific lipids. The characteristics of the contents determine their specific functions in not only physiological but also pathological conditions. It has been demonstrated that miRNAs and proteins in EVs are strongly correlated with breast cancer drug resistance. Additionally, they may exert an influence on de novo and acquired resistance bioprocesses. With the advances in extraction and detection technologies, EVs have also been employed to precisely diagnose and predict the outcome of therapy in breast cancer. On the other hand, they can also be exploited as efficient delivery system in future anticancer applications. In this paper, we summarized relative mechanisms concerning the relationship between EVs and breast cancer drug resistance, and then, we provide up-to-date research advances in the clinical application of EVs.

Indexed as

ATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2Breast NeoplasmsDrug Resistance, NeoplasmExosomesExtracellular VesiclesFemaleHumansMicroRNAsNeoplasm ProteinsABCG2 protein, humanATP Binding Cassette Transporter, Subfamily B, Member 1ATP Binding Cassette Transporter, Subfamily G, Member 2MicroRNAsNeoplasm ProteinsBiological markersBreast cancerDrug resistanceExosomeMicrovesiclesTherapeutics

Identifiers

PMID26797784
OpenAlexW2289431629

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.