Evidence map›Paper›PMID 28514730›Full record

ArticleOncotarget2017

Circulating microRNAs as novel biomarkers of ALK-positive nonsmall cell lung cancer and predictors of response to crizotinib therapy.

Liang-Liang Li, Li-Li Qu, Han-Jiang Fu, Xiao-Fei Zheng, Chuan-Hao Tang, Xiao-Yan Li, Jian Chen, Wei-Xia Wang, Shao-Xing Yang, Lin Wang and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.1field-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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  11. The Roles of MicroRNA in Lung Cancer.International journal of molecular sciences · 2019
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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

18 authors at 4 institutions in 1 country.

Liang-Liang LiDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Li-Li QuDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Han-Jiang FuDepartment of Biochemistry and Molecular Biology, Beijing Institute of Radiation Medicine, Beijing, China.
Xiao-Fei ZhengDepartment of Biochemistry and Molecular Biology, Beijing Institute of Radiation Medicine, Beijing, China.
Chuan-Hao TangDepartment of Oncology, Peking University International Hospital, Beijing, China.
Xiao-Yan LiDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Jian ChenDepartment of Respiratory, Affiliated Hospital of Aviation Medicine, Beijing, China.
Wei-Xia WangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Shao-Xing YangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Lin WangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Guan-Hua ZhaoDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Pan-Pan LvDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Min ZhangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Yang-Yang LeiDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Hai-Feng QinDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Hong WangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Hong-Jun GaoDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Xiao-Qing LiuDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing, China.
Academy of Military Medical Sciences · CNBeijing Radiation Center · CNPeking University · CNThe 309th Hospital of Chinese People's Liberation Army · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circulating microRNAs are potential diagnostic and predictive biomarkers, but have not been investigated for patients with anaplastic lymphoma kinase (ALK)-positive lung cancer. In this exploratory study, we sought to identify potential plasma biomarkers for ALK-positive non-small cell lung cancer (NSCLC). A microRNA microarray was used to select ALK-related microRNAs in ALK-positive NSCLC (n = 3), ALK-negative NSCLC (n = 3), and healthy subjects (n = 3). Plasma levels of 21 microRNAs were differentially expressed for ALK-positive and ALK-negative NSCLC, including 14 down-regulated and 7 up-regulated microRNAs. We also identified 5s rRNA as the most stable endogenous control gene using geNorm and NormFinder algorithms. Candidate microRNAs in plasma from ALK-positive (n = 41) and ALK-negative NSCLC patients (n = 32) were quantified using real-time reverse transcriptase quantitative polymerase chain reaction. The expression levels of miR-28-5p, miR-362-5p, and miR-660-5p were all down-regulated in ALK-positive NSCLC, compared with ALK-negative NSCLC. The areas under the receiver operating characteristic curves of miR-28-5p, miR-362-5p, miR-660-5p, and 3-microRNAs panel were 0.873, 0.673, 0.760, and 0.876, respectively. The positive predictive values of miR-28-5p, miR-362-5p, and miR-660-5p were 96.43%, 80.77%, and 83.87%, respectively. Increased plasma levels of miR-660-5p after crizotinib treatment predicted good tumor response (p = 0.012). The pre-crizotinib levels of miR-362-5p were significantly associated with progression-free survival (p = 0.015). Thus, in this preliminary investigation, we identified a potential panel of 3 microRNAs for distinguishing between patients with ALK-positive and ALK-negative NSCLC. We also identified miR-660-5p and miR-362-5p as potential predictors for response to crizotinib treatment.

Indexed as

Biomarkers, TumorCirculating MicroRNAAdultAgedAged, 80 and overAnaplastic Lymphoma KinaseAntineoplastic AgentsCarcinoma, Non-Small-Cell LungCrizotinibGene Expression ProfilingHumansKaplan-Meier EstimateLiquid BiopsyLung NeoplasmsMicroRNAsMiddle AgedALK protein, humanAnaplastic Lymphoma KinaseAntineoplastic AgentsBiomarkers, TumorCirculating MicroRNACrizotinibMicroRNAsProtein Kinase InhibitorsPyrazolesPyridinesReceptor Protein-Tyrosine KinasesALKbiomarkermicroRNAnon-small cell lung cancerplasma

Identifiers

PMID28514730
PMCPMC5542196
OpenAlexW2608869746

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.