Evidence map›Paper›PMID 31853837›Full record

ArticleJournal of neuro-oncology2020

Identification and validation of a 21-mRNA prognostic signature in diffuse lower-grade gliomas.

Lai-Rong Song, Jian-Cong Weng, Xu-Lei Huo, Liang Wang, Huan Li, Da Li, Zhen Wu, Jun-Ting Zhang

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

8 authors.

Lai-Rong SongDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jian-Cong WengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xu-Lei HuoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Liang WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Huan LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Da LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. lida@bjtth.org.
Zhen WuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. wz_ttyy@163.com.
Jun-Ting ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. zhangjunting2003@aliyun.com.ORCID http://orcid.org/0000-0003-1745-4749

Funding

National Basic Research Program of China (973 Program) 2014CB542006National High-tech Research and Development Program 2014AA020610National Natural Science Foundation of China 81472370National Natural Science Foundation of China 81672506Natural Science Foundation of Beijing Municipality (CN) 7192056
6 · The paper itself

Abstract

purposeDiffuse low-grade and intermediate-grade gliomas, also known as lower-grade gliomas (LGGs), are a class of central nervous system tumors. Overall survival varies greatly between patients, highlighting the importance of evaluating exact outcomes to facilitate individualized clinical management. We aimed to identify an mRNA-based prognostic signature to predict the survival of patients with LGGs.

methodsA total of 874 LGGs from two public datasets were included. Least absolute shrinkage and selection operator (LASSO) Cox regression was used to select the most prognostic mRNAs and build a risk score. A nomogram incorporating the risk score and clinical factors was established for individualized survival prediction. The performance of the nomogram was assessed in the training set (329 patients), internal validation set (140 patients), and external validation set (405 patients).

results21 most prognostic mRNAs remained following the LASSO Cox regression. The 21-mRNA signature successfully stratified patients into high- and low-risk groups (P < 0.001 for all datasets in Kaplan-Meier analysis). Subsequent gene set enrichment analysis identified 19 essential biological processes in high-risk LGGs. Furthermore, a nomogram incorporating the risk score, age, grade, and 1p/19q status was developed with favorable calibration and high predictive accuracy in the training set and validation sets (C-index: 0.877, 0.878, and 0.812, respectively).

conclusionThe 21-mRNA signature has reliable prognostic value for LGGs and might facilitate the effective stratification and individualized management of patients.

Indexed as

NomogramsTranscriptomeBiomarkers, TumorBrain NeoplasmsFemaleFollow-Up StudiesGene Expression ProfilingGene Expression Regulation, NeoplasticGliomaHumansMaleNeoplasm GradingRetrospective StudiesRisk FactorsRNA, MessengerSurvival RateBiomarkers, TumorRNA, MessengerBiomarkersLASSO cox regressionLower-grade gliomasmRNA signaturePrognosis

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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.