Evidence map›Paper›PMID 25137071›Full record

ArticlePloS one2014

Circulating miR-19a and miR-205 in serum may predict the sensitivity of luminal A subtype of breast cancer patients to neoadjuvant chemotherapy with epirubicin plus paclitaxel.

Qian Li, Mei Liu, Fei Ma, Yang Luo, Ruigang Cai, Liming Wang, Ningzhi Xu, Binghe Xu

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03779022 (MicroRNA and Relevant Biomarkers of Breast Cancer in Patients Undergoing Neoadjuvant Treatment), which is not on this map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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.

NCT03779022 unknown statusnot on this mapstarted 2015, after this paper: background citation

MicroRNA and Relevant Biomarkers of Breast Cancer in Patients Undergoing Neoadjuvant Treatment

TypeobservationalSponsorCui YiminRan2015 to 2019Enrolled100ConditionsBreast CancerArmsmicroRNA
3 · Its place in the literature

Who cites it

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  15. miR-205 in Breast Cancer: State of the Art.International journal of molecular sciences · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Qian LiDepartment of Medical Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China; Department of Tumor Chemotherapy and Radiation Sickness in Peking University Third Hospital, Beijing, China.
Mei LiuLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Fei MaDepartment of Medical Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Yang LuoDepartment of Medical Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Ruigang CaiDepartment of Medical Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Liming WangDepartment of Abdominal Surgery, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Ningzhi XuLaboratory of Cell and Molecular Biology & State Key Laboratory of Molecular Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.
Binghe XuDepartment of Medical Oncology, Cancer Institute and Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe luminal A subtype of breast cancer has a good prognosis and is sensitive to endocrine therapy but is less sensitive to chemotherapy. It is necessary to identify biomarkers to predict chemosensitivity and avoid over-treatment. We hypothesized that miRNAs in the serum might be associated with chemosensitivity.

methodsSixty-eight breast cancer patients received neoadjuvant chemotherapy with epirubicin plus paclitaxel. The serum of the patients was collected before chemotherapy and stored at -80°C. The samples were classified into two groups in term of the chemosensitivity. We identified the differential expression patterns of miRNAs between the chemotherapy sensitive and resistant groups using microRNA profiling. Four miRNAs that were differentially expressed between the two groups were further validated in another 56 samples. We created a model fitting formula and a receiver operating characteristics (ROC) curve using logistic regression analysis to evaluate the prediction potency.

resultsWe identified 8 miRNAs differentially expressed between the two groups: 6 miRNAs were up-regulated, and 2 miRNAs were down-regulated in the resistant group compared with the sensitive group. The expression of miR-19a and miR-205 were determined to have significant differences between the two groups (P<0.05). A predictive model of these two miRNAs was created by the logistic regression analysis. The probability of this model was 89.71%. Based on the ROC curve, the specificity was 75.00%, and the sensitivity was 81.25%.

conclusionsThe combination of miR-19a and miR-205 in the serum may predict the chemosensitivity of luminal A subtype of breast cancer to epirubicin plus paclitaxel neoadjuvant chemotherapy.

Indexed as

Drug Resistance, NeoplasmAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorBreast NeoplasmsChemotherapy, AdjuvantEpirubicinFemaleHumansMicroRNAsMiddle AgedNeoadjuvant TherapyPaclitaxelProportional Hazards ModelsROC CurveTreatment OutcomeBiomarkers, TumorEpirubicinMicroRNAsMIR205, humanMIRN19A microRNA, humanPaclitaxel

Identifiers

PMID25137071
PMCPMC4138038

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Registered trials

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.