Evidence map›Paper›PMID 33836755›Full record

ArticleWorld journal of surgical oncology2021

Comprehensive analyses of correlation and survival reveal informative lncRNA prognostic signatures in colon cancer.

Meihong Gao, Yang Guo, Yifu Xiao, Xuequn Shang

Open access · goldAbstract read
In one paragraph

Article in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 31 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Meihong GaoSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, People's Republic of China.
Yang GuoSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, People's Republic of China.
Yifu XiaoSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, People's Republic of China.
Xuequn ShangSchool of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, People's Republic of China. shang@nwpu.edu.cn.
Northwestern Polytechnical University · CN

Funding

National Natural Science Foundation of China 61772426National Natural Science Foundation of China U1811262
6 · The paper itself

Abstract

backgroundColon cancer is a commonly worldwide cancer with high morbidity and mortality. Long non-coding RNAs (lncRNAs) are involved in many biological processes and are closely related to the occurrence of colon cancer. Identification of the prognostic signatures of lncRNAs in colon cancer has great significance for its treatment.

methodsWe first identified the colon cancer-related mRNAs and lncRNAs according to the differential analysis methods using the expression data in TCGA. Then, we performed correlation analysis between the identified mRNAs and lncRNAs by integrating their expression values and secondary structure information to estimate the co-regulatory relationships between the cancer-related mRNAs and lncRNAs. Besides, the competing endogenous RNA regulation network based on co-regulatory relationships was constructed to reveal cancer-related regulatory patterns. Meanwhile, we used traditional regression analysis (univariate Cox analysis, random survival forest analysis, and lasso regression analysis) to screen the cancer-related lncRNAs. Finally, by combining the identified colon cancer-related lncRNAs according to the above analyses, we constructed a risk prognosis model for colon cancer through multivariate Cox analysis and also validated the model in the colon cancer dataset in TCGA cohorts.

resultsSix lncRNAs were found highly correlated with the overall survival of colon cancer patients, and a risk prognosis model based on them was constructed to predict the overall survival of colon cancer patients. In particular, EVX1-AS, ZNF667-AS1, CTC-428G20.6, and CTC-297N7.9 were first reported to be related to colon cancer by using our model, among which EVX1-AS and ZNF667-AS1 have been predicted to be related to colon cancer in LncRNADisease database.

conclusionsThis study identified the potential regulatory relationships between lncRNAs and mRNAs by integrating their expression values and secondary structure information and presented a significant 6-lncRNA risk prognosis model to predict the overall survival of colon cancer patients.

Indexed as

Colonic NeoplasmsMicroRNAsRNA, Long NoncodingBiomarkers, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimatePrognosisBiomarkers, TumorMicroRNAsRNA, Long NoncodingLong non-coding RNAsOverall survivalRegression analysisRegulatory patternsRisk prognosis modelSecondary structure information

Identifiers

PMID33836755
PMCPMC8035745
OpenAlexW3149624111

What OpenQuestion holds

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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.