Evidence map›Paper›PMID 29288364›Full record

ArticleJournal of cancer research and clinical oncology2018

MiRNA signature predicts the response of patients with advanced lung adenocarcinoma to platinum-based treatment.

Xiaoyue Xu, Shaorong Yu, Wenbo Sun, Xiaobing Qin, Yan Chen, Leilei Zhou, Rui Lou, Shuchen Dong, Bo Shen, Jianzhong Wu and 5 more

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 37% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
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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

15 authors at 4 institutions in 1 country.

Xiaoyue XuNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Shaorong YuNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Wenbo SunDepartment of Neurosurgery, Nanjing Medical University Affiliated Brain Hospital, Nanjing, Jiangsu, China.
Xiaobing QinNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Yan ChenNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Leilei ZhouNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Rui LouNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Shuchen DongNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Bo ShenNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Jianzhong WuNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Jialan ZangNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Haixia CaoNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Meiqi ShiNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Qin ZhangNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China.
Jifeng FengNanjing Medical University Affiliated Cancer Hospital, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Baiziting No.42, Nanjing, 210009, Jiangsu, China. fjif@vip.sina.com.ORCID http://orcid.org/0000-0002-7979-2391
Jiangsu Cancer Hospital · CNHuaian First People’s Hospital · CNNanjing Brain Hospital · CNXuzhou Medical College · CN

Funding

The National Natural Science Foundation of China 81372396The National Natural Science Foundation of China 81402483The Project of Invigorating Health Care through Science, Technology and Education, Jiangsu Provincial Medical Youth Talent QNRC2016646
6 · The paper itself

Abstract

backgroundAccumulating literature proved that miRNAs can regulate the sensitivity of platinum and act as a promising candidate to predict the response of patients with lung adenocarcinoma to chemotherapy. However, most studies on miRNAs were restricted to in vitro experiments. This study aimed to evaluate whether miRNAs alone or in combination (miRNA signature) can act as predictive biomarkers of platinum-based chemotherapy in patients with lung adenocarcinoma.

methodsEight miRNAs that most probably predict the efficacy of platinum were screened in 111 tumor tissues of lung adenocarcinoma. Univariate and multivariate Cox analyses, Kaplan-Meier survival curve analysis, Chi-square test, and univariate and multivariate logistic regression analyses were employed to determine whether miRNA expression is associated with the response of patients to platinum-based chemotherapy. The maximum significant odds ratio value was acquired by multiple cycles of multivariate logistic regression analysis. The cut-off points of miRNAs were obtained. A miRNA chemo-sensibility index (CI) formula was established, and its prediction performance was confirmed in another independent set (n = 31).

resultsUnderexpression of three miRNAs (miRNA-21, miRNA-125b, and miRNA-224) was independently associated with the chemotherapy sensitivity of patients with lung adenocarcinoma. The miRNA CI formula containing these three miRNAs was calculated as (1.364 × miR-21) + (1.323 × miR-125b) + (1.131 × miR-224). A high CI was related to platinum-based chemotherapy resistance, and its prediction performance was confirmed in the testing set. The MAPK, PI3K-Akt, Ras, and cGMP-PKG signaling pathways were considered to be most probably correlated with platinum resistance.

conclusionOur miRNA CI formula can act as an independent predictor to predict the response of patients with lung adenocarcinoma to platinum-based chemotherapy.

Indexed as

AdenocarcinomaLung NeoplasmsTranscriptomeAdenocarcinoma of LungAdultAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, PharmacologicalBiomarkers, TumorCisplatinDrug Resistance, NeoplasmFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMicroRNAsBiomarkers, PharmacologicalBiomarkers, TumorCisplatinMicroRNAsLung adenocarcinomaMiRNAPlatinum resistancePrediction

Identifiers

PMID29288364
PMCPMC11813395
OpenAlexW2778959358

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.