Evidence map›Paper›PMID 37559628›Full record

ArticleJournal of thoracic disease2023

Bioinformatics analysis and single-cell RNA sequencing: elucidating the ubiquitination pathways and key enzymes in lung adenocarcinoma.

Tong Lu, Ran Xu, Chenghao Wang, Xiang Zhou, Rafael Parra-Medina, Roberto Díaz-Peña, Bo Peng, Linyou Zhang

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

8 authors.

Tong LuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Ran XuDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Chenghao WangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Xiang ZhouDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Rafael Parra-MedinaDepartment of Pathology, Fundación Universitaria de Ciencias de la Salud, Hospital San José, Bogotá, Colombia.
Roberto Díaz-PeñaFundación Pública Galega de Medicina Xenómica, SERGAS, Grupo de Medicina Xenómica-USC, Health Research Institute of Santiago de Compostela (IDIS), Santiago de Compostela, Spain.
Bo PengDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Linyou ZhangDepartment of Thoracic Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) is a prevalent subtype of lung cancer associated with high mortality rates. We aimed to utilize single-cell multiomics analysis to identify the key molecules involved in ubiquitination modification, which plays a role in LUAD development and progression. Methods: We use a systematic approach to analyze LUAD-related single-cell and bulk transcriptome datasets from Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Single-cell RNA sequencing (scRNA-seq) data were normalized, clustered, and annotated with the Seurat package in R. InferCNV was used to distinguish malignant from epithelial cells, and AUCell evaluated the area under the curve (AUC) score of ubiquitination-related enzymes. Survival and differential analyses identified significant molecular markers associated with ubiquitination. Results: By means of single-cell sequencing analysis, we probed the ubiquitination modification landscape in the LUAD microenvironment. Malignant cells had elevated scores for enzymes and ubiquitin-binding domains compared to normal epithelial cells, with 53 ubiquitination-related molecules showing prognostic disparities. Conclusions: This study examined ubiquitination modifications in LUAD using sequencing data, identifying

Indexed as

AGR2deubiquitinationLung adenocarcinoma (LUAD)PSMD14single-cell RNA sequencing (scRNA-seq)

Identifiers

PMID37559628
PMCPMC10407523

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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.