Evidence map›Paper›PMID 28101226›Full record

ArticleOncology letters2016

Evaluation of plasma microRNA levels to predict insensitivity of patients with advanced lung adenocarcinomas to pemetrexed and platinum.

Jinghua Zhu, Yuhua Qi, Jianzhong Wu, Meiqi Shi, Jifeng Feng, Longbang Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Cell Behavior of Non-Small Cell Lung Cancer Is at EGFR and MicroRNAs Hands.International journal of molecular sciences · 2021
    Review
  4. Article
  5. Article
  6. Review
  7. Overview upon miR-21 in lung cancer: focus on NSCLC.Cellular and molecular life sciences : CMLS · 2018
    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

6 authors at 3 institutions in 1 country.

Jinghua ZhuDepartment of Medical Oncology, Jiangsu Cancer Institute and Hospital, Nanjing, Jiangsu 210002, P.R. China; School of Medicine, Nanjing University, Nanjing, Jiangsu 210002, P.R. China.
Yuhua QiKey Laboratories of Enteric Pathogenic Microbiology, Ministry of Health, Microbiological Laboratory, Jiangsu Center for Disease Prevention and Control, Nanjing, Jiangsu 210002, P.R. China.
Jianzhong WuResearch Center of Clinical Oncology, Jiangsu Cancer Institute and Hospital, Nanjing, Jiangsu 210002, P.R. China.
Meiqi ShiDepartment of Medical Oncology, Jiangsu Cancer Institute and Hospital, Nanjing, Jiangsu 210002, P.R. China.
Jifeng FengDepartment of Medical Oncology, Jiangsu Cancer Institute and Hospital, Nanjing, Jiangsu 210002, P.R. China.
Longbang ChenSchool of Medicine, Nanjing University, Nanjing, Jiangsu 210002, P.R. China; Department of Medical Oncology, Jinling Hospital, Nanjing, Jiangsu 210002, P.R. China.
Jiangsu Cancer Hospital · CNJiangsu Provincial Center for Disease Control and Prevention · CNNanjing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pemetrexed combined with platinum is a first-line therapy used to treat patients with advanced non-small cell lung cancer (NSCLC) that exhibit negative or unknown epidermal growth factor receptor (EGFR) mutational status or anaplastic lymphoma kinase (ALK) rearrangements. Lung adenocarcinoma (LAC) is the primary type of NSCLC. In order to prevent overtreatment, it is necessary to identify patients with LAC who may not benefit from certain chemotherapies. Patients recruited in the present study (n=129) were diagnosed with advanced LAC and received first-line pemetrexed and platinum-based chemotherapy. A microRNA (miR) microarray was used to screen the plasma miR expression profiles in a screening set of eight patients prior to and following treatment. Specifically, plasma miR-25, miR-21, miR-27b, miR-326, miR-483-5p and miR-920 were selected for reverse transcription-quantitative polymerase chain reaction analysis in a training set (n=44) prior to treatment. The screening and training set patients were all non-smokers with no prior history of serious or chronic disease. The ∆∆Cq values of these miRs were compared between the group that showed benefit from pemetrexed and platinum treatment and the group that did not. Consequently, the ∆∆Cq values of miR-25, miR-21, miR-27b and miR-326 were further determined in a validation set (n=77). The results of the present study demonstrate that plasma expression levels of miR-25, miR-21, miR-27b and miR-326, in the training and validation sets prior to treatment, were significantly different between the benefit and non-benefit groups (P≤0.001). The expression of miR-25, miR-21, miR-27b and miR-326 was upregulated in the non-benefit group and this elevation was positively correlated with decreased progression-free survival (PFS; P≤0.001). In addition, the predictive power of each miR was evaluated through receiver operating characteristic curves, in which miR-25 exhibited the highest degree of accuracy (area under the curve, 0.926; 95% confidence interval, 0.881-0.971). These results indicate that overexpression of plasma miR-25, miR-21, miR-27b and miR-326, prior to treatment, in patients with advanced LAC is predictive of non-benefit from first-line pemetrexed and platinum-based chemotherapy, and is associated with decreased PFS. Among these four miRs, miR-25 exhibited the highest degree of accuracy in predicting insensitivity, suggesting it is the most promising biomarker.

Indexed as

advanced lung adenocarcinomacirculating microRNApemetrexedplatinumpredictive markers

Identifiers

PMID28101226
PMCPMC5228282
OpenAlexW2538770802

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.