Evidence map›Paper›PMID 36093548›Full record

ArticleTranslational cancer research2022

Development of multivariable risk signature based on four immune-related RNA-binding proteins to predict survival and immune status in lung adenocarcinoma.

Qingsheng You, Hao Shen

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Qingsheng YouDepartment of Cardiothoracic Surgery, Affiliated Hospital of Nantong University, Nantong, China.
Hao ShenSchool of Medicine, Nantong University, Nantong, China.
Affiliated Hospital of Nantong University · CNNantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to construct a risk signature with predictive power based on immune-related RNA-binding proteins (RBPs) for lung adenocarcinoma (LUAD) patients. Methods: The Cancer Genome Atlas (TCGA) database was used as the data source. Immune genes (IGs) were obtained from the Immunology Database and Analysis Portal (immPort) database. Differentially expressed RBPs and IGs between tumor and normal tissues were screened. For external validation, an independent cohort from the Gene-Expression Omnibus (GEO) database was used. The accuracy of the risk signature prediction was evaluated using Cox regression analysis and the receiver operating characteristic (ROC) curve. Results: The risk signature was constructed from four immune-related and prognostic RBPs ( Conclusions: The risk signature of immune-related RBPs can provide the basis for clinical decisions regarding diagnosis, prognosis, and immunotherapy in LUAD patients.

Indexed as

drug sensitivityimmune infiltrationLung adenocarcinoma (LUAD)prognostic modelRNA-binding protein (RBP)

Identifiers

PMID36093548
PMCPMC9459526
OpenAlexW4285548768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.