ArticleCells2021
Knowledge-Guided "Community Network" Analysis Reveals the Functional Modules and Candidate Targets in Non-Small-Cell Lung Cancer.
Article in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 20 citations in OpenAlex.
- Integrated Network Analysis Reveals a Directly Regulatory Network of FOXM1 Associated With the Cell Cycle in Lung Adenocarcinoma.Bioinformatics and biology insights · 2026Article
- Perturbation response scanning of drug-target networks: Drug repurposing for multiple sclerosis.Journal of pharmaceutical analysis · 2025Article
- Knowledge-guided multi-level network modeling with experimental characterization identifies PRKCA as a novel biomarker and tumor suppressor triggering ferroptosis in prostate cancer.Briefings in bioinformatics · 2025Article
- Differential network analysis reveals the key role of the ECM-receptor pathway inMolecular therapy. Nucleic acids · 2024Article
- Drug Repurposing for COVID-19 by Constructing a Comorbidity Network with Central Nervous System Disorders.International journal of molecular sciences · 2024Article
- DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer.BMC bioinformatics · 2023Article
- The Intriguing Thyroid Hormones-Lung Cancer Association as Exemplification of the Thyroid Hormones-Cancer Association: Three Decades of Evolving Research.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Non-small-cell lung cancer (NSCLC) represents a heterogeneous group of malignancies that are the leading cause of cancer-related death worldwide. Although many NSCLC-related genes and pathways have been identified, there remains an urgent need to mechanistically understand how these genes and pathways drive NSCLC. Here, we propose a knowledge-guided and network-based integration method, called the node and edge Prioritization-based Community Analysis, to identify functional modules and their candidate targets in NSCLC. The protein-protein interaction network was prioritized by performing a random walk with restart algorithm based on NSCLC seed genes and the integrating edge weights, and then a "community network" was constructed by combining Girvan-Newman and Label Propagation algorithms. This systems biology analysis revealed that the
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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.