Evidence map›Paper›PMID 33589575›Full record

ArticleAging2021

Development and validation of RNA binding protein-applied prediction model for gastric cancer.

Shuang Dai, Yan Huang, Ting Liu, Zi-Han Xu, Tao Liu, Lan Chen, Zhi-Wu Wang, Feng Luo

Open access · greenAbstract readValidation Study
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Novel roles of METTL1/WDR4 in tumor via mMolecular therapy oncolytics · 2022
    Review
  9. The potential role of NJournal of hematology & oncology · 2022
    Review
  10. 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

8 authors at 2 institutions in 1 country.

Shuang DaiDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Yan HuangDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Ting LiuDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Zi-Han XuDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Tao LiuDepartment of Medical Oncology, Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Lan ChenDepartment of Medical Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Zhi-Wu WangDepartment of Chemoradiotherapy, Tangshan People's Hospital, Tangshan 063000, P.R. China.
Feng LuoDepartment of Medical Oncology, Lung Cancer Center, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, P.R. China.
Sichuan University · CNTangshan People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-binding proteins (RBPs) have been reported to be associated with the occurrence and progression of multiple cancers, but the role in gastric adenocarcinoma remains poorly understood. The present study aims to uncover potential RBPs associated with the survival of gastric adenocarcinoma, as well as corresponding biologic properties and signaling pathways of these RBPs. RNA sequencing and clinical data of GC were obtained from The Cancer Genome Atlas (n=373) and the Gene Expression Omnibus (GSE84437, n=433) database. Tumor samples in TCGA were randomly divided into the training and internal testing group by R software. A total of 238 DERBPs were selected for univariate and multivariate Cox regression analyses. Five pivotal RBP genes (RNASE2, METTL1, ANG, YBX2 and LARP6) were screened out and were used to construct a new prognostic model. Survival relevance and prediction accuracy of model were tested via Kaplan-Meier (K-M) curves and receiver operating characteristic (ROC) curves in internal and external testing groups. Further analysis has also showed that this model could serve as an independent prognosis-related parameter. A prognostic nomogram has been eventually developed, and presents a good performance of prediction.

Indexed as

NomogramsAdenocarcinomaHumansProtein Interaction MapsRNA-Binding ProteinsStomach NeoplasmsRNA-Binding Proteinsbioinformatic analysisgastric cancernomogramprognosisRNA-binding proteins

Identifiers

PMID33589575
PMCPMC7950299
OpenAlexW3129353342

What OpenQuestion 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 OpenQuestion graph.