Evidence map›Paper›PMID 27075472›Full record

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

Plasma miRNAs in predicting radiosensitivity in non-small cell lung cancer.

Xu Chen, Yanmei Xu, Xingyun Liao, Rongxia Liao, Luping Zhang, Kai Niu, Tao Li, Dezhi Li, Zhengtang Chen, Yuzhong Duan and 1 more

Open access · hybridAbstract read
In one paragraph

Article 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 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

  1. Pooled it
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  9. Radiotherapy resistance: identifying universal biomarkers for various human cancers.Journal of cancer research and clinical oncology · 2022
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  10. Disease markers · 2022
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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

11 authors at 3 institutions in 1 country.

Xu ChenCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Yanmei XuOncology Department, Leshan People's Hospital, Leshan, Sichuan, 614000, China.
Xingyun LiaoCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Rongxia LiaoMedical English Department, College of Basic Medicine, Third Military Medical University, Chongqing, 400038, China.
Luping ZhangCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Kai NiuCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Tao LiCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Dezhi LiCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Zhengtang ChenCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China.
Yuzhong DuanCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China. cqxqyy@foxmail.com.
Jianguo SunCancer Institute of PLA, Xinqiao Hospital, Third Military Medical University, Chongqing, 400037, China. sunjg09@aliyun.com.
Xinqiao Hospital · CNArmy Medical University · CNLeshan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRadioresistance of thoracic radiotherapy is a major bottleneck in the treatment of non-small cell lung cancer (NSCLC). Until now, there have been no effective biomarkers to predict the radiosensitivity. PURPOSES: Based on miRNA profile screened from NSCLC cell lines with different radiosensitivity, this study was conducted to explore the correlation between plasma miRNAs and radiotherapy response in NSCLC patients, and to identify biomarkers of the radiosensitivity in NSCLC.

methodsDifferentially expressed genes were acquired from time-series gene expression profiles of radioresistant H1299 and radiosensitive H460 lung cancer cells (GSE20549). Potential miRNAs were screened from these differentially expressed genes by combining bioinformatics with GO analysis, pathway analysis, and miRNA prediction. A clinical observational study was performed to explore the correlation between candidate miRNAs and radiotherapy response. Stage IIIa-IV NSCLC patients who received two to four cycles of previous chemotherapy and underwent thoracic radiotherapy alone were included. Total RNA was purified from peripheral blood before radiotherapy, and plasma miRNAs were detected by real-time PCR (qRT-PCR). Then, tumor response, progression-free survival (PFS), and overall survival (OS) were acquired. Four miRNAs significantly different between effective and ineffective groups were further analyzed to obtain cutpoints from receiver operating characteristic (ROC) curves and the predictive value of radiosensitivity.

resultsCandidate miRNAs included 14 miRNAs screened from radioresistant genes and five from radiosensitive genes. From Jan., 2013 to Dec., 2014, 54 eligible patients were enrolled with a median follow-up of 15.3 months (range 4.6 to 31.4) by the deadline of Aug. 31, 2015. Totally, there were no case of complete response (CR), 15 of partial response (PR), 35 of stable disease (SD), and 4 of progressive disease (PD). Eight patients had no progression and 19 patients were still alive. The median PFS and OS were 6.6 months (range 2.3 to 29.3) and 15.3 months (range 4.6 to 31.4), respectively. Four miRNAs (hsa-miR-98-5p, hsa-miR-302e, hsa-miR-495-3p, and hsa-miR-613) demonstrated a higher expression in effective group (CR + PR, 15 cases) than in ineffective group (SD + PD, 39 cases). Based on each cutpoint, objective response rate (ORR) was higher in miR-high group than in miR-low group. No miRNA showed correlation with median PFS or OS.

conclusionBioinformatical analysis and clinical verification reveal the correlation between plasma miRNAs and radiosensitivity in NSCLC patients. Plasma miRNAs represent novel biomarkers to predict radiotherapy response clinically.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungCell Line, TumorFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansKaplan-Meier EstimateLung NeoplasmsMaleMicroRNAsMiddle AgedPredictive Value of TestsBiomarkers, TumorMicroRNAsBioinformaticsBiomarkermiRNAsNSCLCPlasmaRadiosensitivity

Identifiers

PMID27075472
PMCPMC5080326
OpenAlexW2336707614

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.