Evidence map›Paper›PMID 35218396›Full record

ArticleMolecular genetics and genomics : MGG2022

A two-phase comprehensive NSCLC prognostic study identifies lncRNAs with significant main effect and interaction.

Jing Zhu, Jinxing Guan, Xinyu Ji, Yunjie Song, Xiaoshuang Xu, Qianqian Wang, Quanan Zhang, Renhua Guo, Rui Wang, Ruyang Zhang

Abstract read
In one paragraph

Article in Molecular genetics and genomics : MGG, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Jing Zhu *Department of Oncology, The Affiliated Jiangning Hospital of Nanjing Medical University, 169 Hushan Road, No. 2 Building, 212 East Ward, Nanjing, 211100, Jiangsu, China.
Jinxing Guan *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China.
Xinyu Ji *Department of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China.
Yunjie SongDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China.
Xiaoshuang XuDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China.
Qianqian WangDepartment of Medical Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, No. 3 Building, Floor 10, Nanjing, 210003, Jiangsu, China.
Quanan ZhangDepartment of Oncology, The Affiliated Jiangning Hospital of Nanjing Medical University, 169 Hushan Road, No. 2 Building, 212 East Ward, Nanjing, 211100, Jiangsu, China. zhang_quan_an_njmu@163.com.
Renhua GuoDepartment of Medical Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, No. 3 Building, Floor 10, Nanjing, 210003, Jiangsu, China. rhguo@njmu.edu.cn.
Rui WangDepartment of Medical Oncology, Jinling Hospital, School of Medicine, Nanjing University, 34 Yanggongjing Street, Building 1, Floor 6, Nanjing, 210002, Jiangsu, China. wangrui218@163.com.
Ruyang ZhangDepartment of Biostatistics, Center for Global Health, School of Public Health, Nanjing Medical University, 101 Longmian Avenue, SPH Building, Room 406, Nanjing, 211166, Jiangsu, China. zhangruyang@njmu.edu.cn.ORCID http://orcid.org/0000-0003-3861-4297

Funding

National Natural Science Foundation of China 81772995National Natural Science Foundation of China 81972188Natural Science Foundation of Jiangsu Province BK20191354Postdoctoral Research Foundation of China 2018M633767
6 · The paper itself

Abstract

Long noncoding RNA (lncRNA) are involved in regulating physiological behaviors for various malignant tumors, including non-small-cell lung cancer (NSCLC). However, few studies comprehensively evaluated both lncRNA-lncRNA interaction effects and main effects of lncRNA on overall survival of NSCLC. Hence, we performed a two-phase designed study of lncRNA expression in tumor tissues using 604 NSCLC patients from The Cancer Genome Atlas as the discovery phase and 839 patients from Gene Expression Omnibus as the validation phase. In the discovery phase, we adopted a two-step strategy, Screening before Testing, for dimension reduction and signal detection. These candidate lncRNAs first screened out by the weighted random forest (Ranger), were then tested through the Cox proportional hazards model adjusted for covariates. Significant lncRNAs with either type of effects aforementioned were carried forward into the validation phase to confirm their significances again. As a result, in the discovery phase, 19 lncRNAs were identified by Ranger, among which five lncRNAs and one pair of lncRNA-lncRNA interaction exhibited significant effects (FDR-q ≤ 0.05) main and interaction effects on NSCLC survival, respectively, through Cox model. After the independent validation, we finally observed that one lncRNA (ENSG00000227403.1) with main effect was robustly associated with NSCLC prognosis (HR

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsRNA, Long NoncodingBiomarkers, TumorGene Expression Regulation, NeoplasticHumansPrognosisBiomarkers, TumorRNA, Long NoncodingInteractionlncRNAMain effectNon-small-cell lung cancerOverall survival

Identifiers

PMID35218396
PMCPMC8960609

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.