Evidence map›Paper›PMID 34905504›Full record

ArticleAging2021

A novel immune-related long non-coding RNAs risk model for prognosis assessment of lung adenocarcinoma.

Songmei Lu, Nan Shan, Xingyue Chen, Fangliang Peng, Yiming Wang, Hao Long

Open access · hybridAbstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 3 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

6 authors at 3 institutions in 1 country.

Songmei LuDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Nan ShanDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xingyue ChenDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Fangliang PengDepartment of Gynaecology and Obstetrics, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yiming WangDepartment of Medical Oncology, Chongqing University Cancer Hospital, Chongqing, China.
Hao LongDepartment of Biological Immunotherapy, Chongqing University Cancer Hospital, Chongqing, China.
Chongqing Cancer Hospital · CNFirst Affiliated Hospital of Chongqing Medical University · CNChongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe abundant immune-related long non-coding RNA (IRLNRs) in immune cells and immune microenvironment have the potential to forecast prognosis and evaluate the effect of immunotherapy. IRLNRs analysis will provide a new perspective for LUAC research.

methodsWe calculated the immune score of each sample according to the expression levels of immune-related genes (IRGs) and screened the survival-related IRLNRs (sIRLNRs) by Cox regression analysis. The expression levels of AC068338.3 and AL691432.2 in tissues and cell lines were confirmed by RT-qPCR.

results36 IRLNRs were selected by Pearson correlation analysis. Ten sIRLNRs were significantly correlated with the clinical outcomes of LUAC patients. Five sIRLNRs were identified by multivariate COX regression analysis to establish the immune-related risk score model (IRRS). The overall survival (OS) in the high-risk group was shorter than that in the low-risk group. IRRS could be an independent prognostic factor with significant survival correlation The distributions of immune gene concentrations were different between high-risk group and low-risk group. Furthermore, we further verified that the expression levels of AC068338.3 and AL691432.2 in different LUAC cell lines and tumor tissues were lower than that in Human bronchial epithelial cell (HBE) and adjacent tissues respectively. The lower expression levels of AC068338.3 and AL691432.2 were detected with the more advance T-stages.

conclusionsOur results highlighted some sIRLNRs with significant clinical correlations and demonstrated their monitored and prognostic values for LUAC patients. The results of this study may provide a new perspective for immunological research and immunotherapy strategies.

Indexed as

Adenocarcinoma of LungFemaleHumansImmunogenetic PhenomenaImmunotherapyLung NeoplasmsMalePrognosisProportional Hazards ModelsReal-Time Polymerase Chain ReactionRisk AssessmentRNA, Long NoncodingSurvival AnalysisTreatment OutcomeRNA, Long Noncodingimmune-related risk score modellong non-coding RNAsLUACOS

Identifiers

PMID34905504
PMCPMC8714149
OpenAlexW4200608643

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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.