Evidence map›Paper›PMID 32184656›Full record

ArticleCancer management and research2020

Plasma Long Non-Coding RNA RP11-438N5.3 as a Novel Biomarker for Non-Small Cell Lung Cancer.

Qingjuan Chen, Chenjing Zhu, Yingying Jin, Xiaomin Si, Wan Jiao, Wenjing He, Wei Mao, Ming Li, Guomin Luo

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Qingjuan Chen *Department of Oncology, Yongchuan Hospital of Chongqing Medical University, Chongqing 40016, People's Republic of China.
Chenjing Zhu *Department of Radiation Oncology, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, People's Republic of China.
Yingying JinDepartment of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi Province 710004, People's Republic of China.
Xiaomin SiDepartment of Oncology, Xianyang Center Hospital, Xi'an, Shaanxi Province 712000, People's Republic of China.
Wan JiaoDepartment of Oncology, Xianyang Center Hospital, Xi'an, Shaanxi Province 712000, People's Republic of China.
Wenjing HeDepartment of Oncology, Xianyang Center Hospital, Xi'an, Shaanxi Province 712000, People's Republic of China.
Wei MaoDepartment of Oncology, Xianyang Center Hospital, Xi'an, Shaanxi Province 712000, People's Republic of China.
Ming LiDepartment of Oncology, Yongchuan Hospital of Chongqing Medical University, Chongqing 40016, People's Republic of China.
Guomin LuoDepartment of Oncology, Yongchuan Hospital of Chongqing Medical University, Chongqing 40016, People's Republic of China.
Xian Yang Central Hospital · CNChongqing Medical University · CNNanjing Medical University · CNSecond Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung cancer is one of the most common malignancies around the world. The lack of early diagnosis and effective treatment strategies contributes to the poor prognosis of patients with lung cancer. Recent studies have implied the role of long non-coding RNAs (lncRNAs) in oncogenesis. The purpose of our study was to identify specific lncRNAs which were correlated with non-small cell lung cancer (NSCLC) and their potential functions. MATERIALS AND

methodsThe global plasma lncRNA profiling was performed using LncPath

resultsThe results revealed that plasma level of RP11-438N5.3 was significantly lower in NSCLCs than that in HCs (p <0.01). Receiver operating characteristic (ROC) analyses showed that the area under the ROC curve (AUC) for plasma RP11-438N5.3 was 0.814 (95% CI, 0.743-0.885; p<0.01). High expression of RP11-438N5.3 in plasma correlated with favorable prognosis for NSCLC patients (Hazard ratio = 2.827; 95% CI: 1.036 to 7.718; p = 0.024; Cox regression analysis). Moreover, we found that the plasma level of stromal interaction molecule 1 (STIM1) mRNA was remarkably higher in NSCLC compared with HC (p<0.01), and the AUC for STIM1 was 0.753 (95% CI, 0.673-0.833; p<0.01), RP11-438N5.3 and STIM1 were inversely correlated with each other.

conclusionOur results indicated that RP11-438N5.3 and STIM1 might provide a new strategy for NSCLC diagnosis. Furthermore, increased circulating RP11-438N5.3 level holds great potential in indicating a beneficial prognosis in NSCLC patients.

Indexed as

biomarkerlong non-coding RNAnon-small cell lung cancerRP11-438N5.3stromal interaction molecule 1

Identifiers

PMID32184656
PMCPMC7055527
OpenAlexW3007841458

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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.