ArticleSaudi journal of biological sciences2022
Bioinformatics role of the WGCNA analysis and co-expression network identifies of prognostic marker in lung cancer.
Article in Saudi journal of biological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Downregulation of LRRC59 suppresses cervical cancer progression likely by inhibiting YBX1-mediated Wnt/β-catenin signaling.Scientific reports · 2026Article
- Analysis of microarray and single-cell RNA-seq finds gene co-expression, cell-cell communication, and tumor environment associated with cytoskeleton protein in epithelial-mesenchymal transition in ovarian cancer.Discover oncology · 2026Article
- A Decade-Old Atlas of TMEM (Transmembrane) Protein Family in Lung Cancer: Lessons Learnt and Future Directions.International journal of molecular sciences · 2026Review
- Identification of key factors causing ketosis in dairy cows with low feed intake.Animal biotechnology · 2025Article
- Identification of adipose-proximal biomarkers in breast cancer using weighted gene co-expression network analysis.Protoplasma · 2025Article
- Identification and analysis of pyroptosis-related key genes in heart failure.Journal of cardiothoracic surgery · 2025Article
- Mitochondrial ribosomal proteins: potential targets for cancer prognosis and therapy.Frontiers in oncology · 2025Review
- Exploitation of Key Regulatory Modules and Genes for High-Salt Adaptation in Schizothoracine by Weighted Gene Co-Expression Network Analysis.Animals : an open access journal from MDPI · 2024Article
- Deciphering molecular landscape of breast cancer progression and insights from functional genomics and therapeutic explorations followed by in vitro validation.Scientific reports · 2024Article
- Integrating Microarray Data and Single-Cell RNA-Seq Reveals Key Gene Involved in Spermatogonia Stem Cell Aging.International journal of molecular sciences · 2024Article
- Exploring a new signature for lung adenocarcinoma: analyzing cuproptosis-related genes through Integrated single-cell and bulk RNA sequencing.Discover oncology · 2024Article
- Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response.Frontiers in immunology · 2024Article
- Genome-wide identification of CCO gene family in cucumber (Cucumis sativus) and its comparative analysis with A. thaliana.BMC plant biology · 2023Article
- Upregulation of TUBG1 expression promotes hepatocellular carcinoma development.Medical oncology (Northwood, London, England) · 2023Article
- Genome-wide identification and in-silico expression analysis of carotenoid cleavage oxygenases gene family inFrontiers in plant science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lung cancer is the most talked about cancer in the world. It is also one of the cancers that currently has a high mortality rate. The aim of our research is to find more effective therapeutic targets and prognostic markers for human lung cancer. First, we download gene expression data from the GEO database. We performed weighted co-expression network analysis on the selected genes, we then constructed scale-free networks and topological overlap matrices, and performed correlation modular analysis with the cancer group. We screened the 200 genes with the highest correlation in the cyan module for functional enrichment analysis and protein interaction network construction, found that most of them focused on cell division, tumor necrosis factor-mediated signaling pathways, cellular redox homeostasis, reactive oxygen species biosynthesis, and other processes, and were related to the cell cycle, apoptosis, HIF-1 signaling pathway, p53 signaling pathway, NF-κB signaling pathway, and several cancer disease pathways are involved. Finally, we used the GEPIA website data to perform survival analysis on some of the genes with GS > 0.6 in the cyan module. CBX3, AHCY, MRPL12, TPGB, TUBG1, KIF11, LRRC59, MRPL17, TMEM106B, ZWINT, TRIP13, and HMMR was identified as an important prognostic factor for lung cancer patients. In summary, we identified 12 mRNAs associated with lung cancer prognosis. Our study contributes to a deeper understanding of the molecular mechanisms of lung cancer and provides new insights into drug use and prognosis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.