Evidence map›Paper›PMID 34306030›Full record

ArticleFrontiers in genetics2021

Immune-Related Gene Expression Analysis Revealed Three lncRNAs as Prognostic Factors for Colon Cancer.

Xiao-Liang Xing, Ti Zhang, Zhi-Yong Yao, Chaoqun Xing, Chunxiao Wang, Yuan-Wu Liu, Minjiang Huang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 11 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

7 authors at 2 institutions in 1 country.

Xiao-Liang XingSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Ti ZhangSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Zhi-Yong YaoSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Chaoqun XingSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Chunxiao WangSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Yuan-Wu LiuBeijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China.
Minjiang HuangSchool of Public Health and Laboratory Medicine, Hunan University of Medicine, Huaihua, China.
Hunan University · CNChina Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the most common cancers. Almost 80% of CRC cases are colon adenocarcinomas (COADs). Several studies have indicated the role of immunotherapy in the treatment of various cancers. Our study aimed to identify immune-related long non-coding RNAs (lncRNAs) and to use them to construct a risk assessment model for evaluating COAD prognosis. Using differential expression, correlation, and Cox regression analyses, we identified three immune-related differentially expressed lncRNAs (IR-DELs) and used them to construct a risk assessment model. The area under the curve (AUC) for each receiver operating characteristic (ROC) curve at 3-, 5-, and 10-years were greater than 0.6. In addition, the risk assessment model was correlated with several immune cells and factors. The three IR-DELs (AC124067.4, LINC02604, and MIR4435-2HG) identified in this study can be used to predict outcomes for patients with COAD and might help in identifying those who can benefit from anti-tumor immunotherapy.

Indexed as

COADimmunelncRNAsoverall survivalrisk model

Identifiers

PMID34306030
PMCPMC8299306
OpenAlexW3177584573

What Socratic 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 Socratic graph.