Evidence map›Paper›PMID 38021786›Full record

ArticleCureus2023

An Exosome-Related Long Non-coding RNA (lncRNA)-Based Signature for Prognosis and Therapeutic Interventions in Lung Adenocarcinoma.

Jinghong Li, Junhua Wang, Zhihong Chen, Pan Hu, Xiaodan Zhang, Xiaojun Guo, Xiao Zhu, Yongmei Huang

Abstract read
In one paragraph

Article in Cureus, 2023. 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
–field-weighted citation impact
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. Liquid biopsy techniques and lung cancer: diagnosis, monitoring and evaluation.Journal of experimental & clinical cancer research : CR · 2024
    Review
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

8 authors.

Jinghong LiComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Junhua WangOncology Department, Qingdao Hospital, University of Health and Rehabilitation Sciences (Qingdao Municipal Hospital), Qingdao, CHN.
Zhihong ChenComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Pan HuComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Xiaodan ZhangComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Xiaojun GuoComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Xiao ZhuGenetics Department, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.
Yongmei HuangComputational Oncology Laboratory, Marine Biomedical Research Institute, Guangdong Medical University, Zhanjiang, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The poor prognosis of lung adenocarcinoma (LUAD) has been confirmed by a large number of studies, so it is necessary to construct a prognosis model. In addition, exosome is closely related to tumors, but there are few studies on exosome-related long non-coding RNA (lncRNA) (ExolncRNA). Methods In this study, we designed a prognostic model, exosome-related lncRNA-based signature (ExoLncSig), using ExolncRNA expression profiles of LUAD patients from The Cancer Genome Atlas (TCGA). ExolncRNAs were identified through univariate and multivariate and Lasso analyses. Subsequently, based on the ExoLncSig, gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, immune function and immunotherapy analysis, drug screening, and so on were performed. Results AC026355.2, AC108136.1, AL590428.1, and LINC01312 were examined to establish the ExoLncSig. Gene enrichment analysis identified potential prognostic markers and therapeutic targets, including human leukocyte antigen (HLA), parainflammation, chemokine receptor (CCR), antigen-presenting cell (APC) co-inhibition, cancer-associated fibroblast (CAF), and myeloid-derived suppressor cell (MDSC). Moreover, we ascertained that the high-risk subgroup exhibits heightened susceptibility to pharmaceutical agents. Conclusion Our findings indicate that ExoLncSig holds promise as a valuable prognostic marker in LUAD. Furthermore, the immunogenic properties of ExolncRNAs may pave the way for the development of a therapeutic vaccine against LUAD.

Indexed as

drug therapyexosome-related lncrnalung adenocarcinomaprognostic modeltumor microenvironment

Identifiers

PMID38021786
PMCPMC10666655

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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.