Evidence map›Paper›PMID 30786836›Full record

ArticleTechnology in cancer research & treatment2019

Plasma microRNAs Predict Chemoresistance in Patients With Metastatic Breast Cancer.

Bin Shao, Xiaoxia Wang, Lei Zhang, Deyu Li, Xiaoran Liu, Guohong Song, Huiqing Cao, Jun Zhu, Huiping Li

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 39 citations in OpenAlex.

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  16. Hypoxia, endoplasmic reticulum stress and chemoresistance: dangerous liaisons.Journal of experimental & clinical cancer research : CR · 2021
    Review
  17. Article
  18. Review
  19. Article
  20. The Regulatory Role of MicroRNAs in Breast Cancer.International journal of molecular sciences · 2019
    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

9 authors at 2 institutions in 1 country.

Bin Shao1 Department of Medical Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.ORCID 0000-0001-9195-8043
Xiaoxia Wang2 Laboratory of Nucleic Acid Technology, Institute of Molecular Medicine, Peking University, Beijing, People's Republic of China.
Lei Zhang2 Laboratory of Nucleic Acid Technology, Institute of Molecular Medicine, Peking University, Beijing, People's Republic of China.
Deyu Li3 Kunshan RNAi institute, Kunshan, Jiangsu province, People's Republic of China.
Xiaoran Liu1 Department of Medical Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Guohong Song1 Department of Medical Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Huiqing Cao2 Laboratory of Nucleic Acid Technology, Institute of Molecular Medicine, Peking University, Beijing, People's Republic of China.
Jun Zhu1 Department of Medical Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Huiping Li1 Department of Medical Oncology, Key laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, People's Republic of China.
Peking University · CNJiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs contribute to chemotherapy response in different types of cancer. We hypothesized that plasma miRNAs are potentially associated with chemotherapy response in patients with metastatic breast cancer. PATIENTS AND

methodsFourteen candidate microRNAs were chosen from the literature, and their plasma levels were measured by quantitative polymerase chain reaction (PCR). Forty metastatic breast cancer patients were chosen as the training groups. The potential significant microRNAs were validated in another 103 plasma samples.

resultsIn the training set, we identified 3 microRNAs (miR-200a, miR-210, and miR-451) as significantly dysregulated miRNAs between sensitive group (partial response (and stable disease) and resistant group (progressive disease). Then, in the validation set, miR-200a (area under the curve = 0.881, sensitivity = 94.1%, specificity = 76.7%) and miR-210 (area under the curve = 0.851, sensitivity = 88.2%, specificity = 72.1%) showed high diagnostic accuracy for distinguishing sensitive group from resistant group. Furthermore, the plasma level of miR-200a was significantly associated with the stage in surgery ( P = .035), and the high level of miR-210 expression was associated with internal organ metastasis (liver, lung, and brain; P = .024).

conclusionsPlasma miR-200a and miR-210 could be effective biomarkers for the prediction of chemotherapy resistance in metastatic breast cancer patients.

Indexed as

Gene Expression Regulation, NeoplasticAdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma, LobularCase-Control StudiesDrug Resistance, NeoplasmFemaleHumansMicroRNAsMiddle AgedPrognosisBiomarkers, TumorMicroRNAschemoresistancemetastatic breast cancermiRNAplasmapredictive

Identifiers

PMID30786836
PMCPMC6383099
OpenAlexW2915939009

What OpenQuestion holds

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LicenceCC BY-NC
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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.