ArticleOncology letters2020
Article in Oncology letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed, 35 citations in OpenAlex.
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- Exploring manzamine a: a promising anti-lung cancer agent from marine spongeFrontiers in pharmacology · 2025Review
- Lung Single-Cell Transcriptomics Offers Insights into the Pulmonary Interstitial Toxicity Caused by Silica Nanoparticles.Environment & health (Washington, D.C.) · 2024Article
- Molecular Investigation and Preliminary Validation of Candidate Genes Associated with Neurological Damage in Heat Stroke.Molecular neurobiology · 2024Article
- Metabolomics combined with network pharmacology reveals the potential development value of Campanumoea javanica Bl. and its metabolite differences with Codonopsis Radix.BMC plant biology · 2024Article
- Two decades of a protooncogene TBL1XR1: from a transcription modulator to cancer therapeutic target.Frontiers in oncology · 2024Review
- Systematic analysis of various RNA transcripts and construction of biological regulatory networks at the post-transcriptional level for chronic obstructive pulmonary disease.Journal of translational medicine · 2023Article
- Article
- Role of NAT10-mediated ac4C-modified HSP90AA1 RNA acetylation in ER stress-mediated metastasis and lenvatinib resistance in hepatocellular carcinoma.Cell death discovery · 2023Article
- Biological and Genetic Mechanisms of COPD, Its Diagnosis, Treatment, and Relationship with Lung Cancer.Biomedicines · 2023Review
- Network pharmacology and bioinformatics analysis identifies potential therapeutic targets ofFrontiers in endocrinology · 2023Article
- LINC01578 affects the radiation resistance of lung cancer cells through regulating microRNA-216b-5p/TBL1XR1 axis.Bioengineered · 2022Article
- A feature selection-based framework to identify biomarkers for cancer diagnosis: A focus on lung adenocarcinoma.PloS one · 2022Article
- Utilizing Bioinformatics Technology to Explore the Potential Mechanism of Danggui Buxue Decoction against NSCLC.Disease markers · 2022Article
- Fully integrating pathophysiological insights in COPD: an updated working disease model to broaden therapeutic vision.European respiratory review : an official journal of the European Respiratory Society · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chronic obstructive pulmonary disease (COPD) and squamous cell lung carcinoma (SCC) are smoking-related diseases. However, the connection between the two is poorly understood. Microarray gene expression profiles in bronchial epithelium from patients with SCC with or without COPD were downloaded from the Gene Expression Omnibus repository. Differentially expressed genes associated with COPD and SCC were identified and visualized using the Advanced Network Merger module in Cytoscape. COPD-associated genes in SCC progression were further identified using the BisoGenet plug-in in Cytoscape. The genetic interaction network was predicted using the Network Analysis function. Heat shock protein 90 α family class A member 1 (
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.