Evidence map›Paper›PMID 35936736›Full record

ArticleFrontiers in oncology2022

A novel cuproptosis-related prognostic lncRNA signature and lncRNA MIR31HG/miR-193a-3p/TNFRSF21 regulatory axis in lung adenocarcinoma.

Xiaocong Mo, Di Hu, Pingshan Yang, Yin Li, Shoaib Bashir, Aitao Nai, Feng Ma, Guoxia Jia, Meng Xu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 82 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Prognostic significance ofTranslational cancer research · 2025
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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

9 authors at 1 institution in 1 country.

Xiaocong MoDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Di HuDepartment of Neurology and Stroke Centre, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Pingshan YangDepartment of Thoracic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yin LiDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Shoaib BashirDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Aitao NaiDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Feng MaDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Guoxia JiaDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
Meng XuDepartment of Oncology, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, China.
First Affiliated Hospital of Jinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) remains the most common subtype of lung malignancy. Cuproptosis is a newly identified cell death which could regulate tumor cell proliferation and progression. Long non-coding RNAs (lncRNAs) are key molecules and potential biomarkers for diagnosing and treating various diseases. However, the effects of cuproptosis-related lncRNAs on LUAD are still unclear. In our study, 7 cuproptosis-related lncRNAs were selected to establish a prognostic model using univariate Cox regression analysis, LASSO algorithm, and multivariate analysis. Furthermore, we evaluated AC008764.2, AL022323.1, ELN-AS1, and LINC00578, which were identified as protective lncRNAs, while AL031667.3, AL606489.1, and MIR31HG were identified as risk lncRNAs. The risk score calculated by the prognostic model proved to be an effective independent factor compared with other clinical features by Cox regression analyses [univariate analysis: hazard ratio (HR) = 1.065, 95% confidence interval (CI) = 1.043-1.087,

Indexed as

cuproptosislung adenocarcinomamiR-193a-3pMIR31HGTNFRSF21

Identifiers

PMID35936736
PMCPMC9353736
OpenAlexW4286471124

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Registered trials

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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.