Evidence map›Paper›PMID 35116519›Full record

ArticleTranslational cancer research2021

Construction of a prognostic risk model of colorectal adenocarcinoma through integrated analysis of RNA-binding proteins.

Xinhong Liu, Qikun Lv, Zuolin Jing, Xingyao Long, Ruokun Yi, Dingyi Yang, Xin Zhao

Open access · diamondAbstract read
In one paragraph

Article in Translational cancer research, 2021. 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
0.1field-weighted citation impact, top 63% 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, 1 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Xinhong Liu *Chongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Qikun Lv *Department of Critical Care Medicine, Chongqing University Cancer Hospital, Chongqing, China.
Zuolin JingChongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Xingyao LongChongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Ruokun YiChongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Dingyi Yang *Key Laboratory for Biorheological Science and Technology of Ministry of Education (Chongqing University), Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer Hospital, Chongqing, China.
Xin Zhao *Chongqing Collaborative Innovation Center for Functional Food, Chongqing University of Education, Chongqing, China.
Chongqing University of Education · CNChongqing Cancer Hospital · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRNA binding proteins (RBPs) play an important role in a variety of cancers. However, their mechanisms in cancer progression are still limited especially in colorectal adenocarcinoma (COAD). Integrated analysis of RBPs will provide a better understanding of disease genesis and new insights into COAD treatment.

methodsThe gene expression data and corresponding clinical information for COAD were downloaded from The Cancer Genome Atlas (TCGA) database. Univariate Cox regression analysis was used to screen for RBPs associated with COAD recurrence, and multivariate Cox proportional hazards regression analyses were used to identify genes that were associated with COAD recurrence. A nomogram was constructed to predict the recurrence of COAD, and a receiver operating characteristic (ROC) curve analysis was performed to determine the accuracy of the prediction models. The Human Protein Atlas database was used in prediction models to confirm the expression of key genes in COAD patients.

resultsA total of 177 differentially expressed RBPs was obtained, comprising 123 upregulated and 54 downregulated. GO and KEGG enrichment analysis showed that the differentially expressed RBPs were mainly related to mRNA metabolism, RNA processing and translation regulation. Seven RBP genes (

conclusionsWe constructed a COAD prognostic model through bioinformatics analysis and the nomogram can effectively predict the 1-year, 2-year, and 3-year survival rate for COAD patients.

Indexed as

bioinformaticsColon adenocarcinomaprognosisRNA-binding protein (RBP)survival

Identifiers

PMID35116519
PMCPMC8799218
OpenAlexW3160234262

What OpenQuestion holds

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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.