ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019
[Bioinformatic analysis of direct protein targets of aspirin against human breast cancer proliferation].
Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed, 1 citations in OpenAlex.
- Screening and Identification of Key Common and Specific Genes and Their Prognostic Roles in Different Molecular Subtypes of Breast Cancer.Frontiers in molecular biosciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo explore the molecular mechanism underlying the inhibitory effects of aspirin against human breast cancer cell proliferation through bioinformatics analysis.
methodsDrug Bank 5.1.3 was searched to identify direct protein targets (DPTs) of aspirin, and the protein-protein interaction (PPI) network of the DPTs was constructed online using STRING and the signaling pathways involved were identified. The genetic alterations of 6 DPTs associated with human breast cancer was analyzed and visualized by cBio Portal and OncoPrint, respectively. The transcriptomic data of breast cancer and normal tissues were downloaded from TCGA database, and the overexpressed genes were analyzed by DECenter. The intersection between the genes associated with the DPTs obtained by STRING analysis and the differentially over-expressed genes in TCGA was determined to confirm the candidate DPTs as a potential target of aspirin, and GO functional enrichment analysis was performed using Gene Ontology. The potential targets of aspirin against the proliferation of human breast cancer cells were verified by Western blotting.
resultsEleven DPTs of aspirin were identified. KEGG pathway enrichment indicated that 6 genes (EDNRA, IKBKB, NFKB2, NFKBIA, PTGS2 and TP53) were associated with the occurrence and development of cancer. A total of 10 220 differentially expressed genes were identified from the TCGA database, and among them 4 genes (
conclusions
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.