Evidence map›Paper›PMID 36628246›Full record

ArticleAmerican journal of translational research2022

Analysis of M6A associated lncRNAs in prognosis and immune response of NSCLC patients.

Jing Lin, Xiao-Ling Gu, Chu-Ling Li, Zi-Mu Wang, Zhao-Feng Wang, Ran-Pu Wu, Yong Song, Ying Wu, Hong-Bing Liu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

9 authors at 2 institutions in 1 country.

Jing LinDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Xiao-Ling GuDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Chu-Ling LiDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Zi-Mu WangDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Zhao-Feng WangDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Ran-Pu WuDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Yong SongDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Ying WuAffiliated Hospital of Nanjing University of Chinese Medicine, Jiangsu Province Hospital of Chinese Medicine Nanjing, China.
Hong-Bing LiuDepartment of Respiratory Medicine, Jinling Hospital, Medical School of Nanjing University Nanjing, China.
Nanjing Medical University · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distinguishing between N6-methyladenosine (m6A)-associated long noncoding RNAs (lncRNAs) is crucial in non-small-cell lung cancer (NSCLC) patients. In this research, the prognosis and immunotherapeutic response of lncRNAs and m6A in NSCLC were examined. lncRNAs related to m6A were identified using co-expression analyses, and their prognostic impact on patients with NSCLC was assessed using univariate Cox regression analysis. Sixty-three m6A-associated lncRNAs were determined as prognostic lncRNAs, and on this basis, 25 m6A-associated lncRNAs were screened by least absolute shrinkage and selection operator (lasso) Cox regression. Multivariable Cox analysis obtained 14 m6A-associated lncRNAs for the construction of risk model. The NSCLC patients were grouped into different risk subgroups in accordance with the median of the risk fraction in each data, and we evaluated the differences of potential immunotherapeutic characteristics and drug sensitivity prediction between the two subgroups. By using this model to recombine patients, they can be effectively distinguished in terms of the immunotherapy response. Furthermore, candidate compounds for the differentiation of NSCLC subtypes were identified. The model based on 14 m6A-associated lncRNAs is a promising prognostic biomarker, which may help to predict the efficacy of immunotherapy in NSCLC patients and provide a theoretical basis for improving the outcome of patients.

Indexed as

immunotherapy responselncRNAsM6ANSCLCprognosis

Identifiers

PMID36628246
PMCPMC9827342
OpenAlexW4315619144

What OpenQuestion holds

Textmetadata
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.