ArticlePLoS computational biology2026
Network-based exploration of 4-(phenylsulfonyl)morpholine molecules for metastatic triple-negative breast cancer suppression.
Article in PLoS computational biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous subtype of breast cancer, with limited treatment options due to the absence of estrogen receptors, progesterone receptors, and human epidermal growth factor receptor 2 (HER2) expression. This characteristic renders TNBC resistant to hormone-based and HER2-targeted therapies, leaving cytotoxic chemotherapy as the predominant strategy and highlighting the urgency for novel interventions. In this study, we investigated the mechanism of action of GL24, a potent 4-(phenylsulfonyl)morpholine-based small molecule with selective tumor suppression effects on metastatic TNBC cells, while being ineffective against TNBC cells derived from the primary tumor site, using gene co-expression analysis. By considering the distinct phenotypic responses induced by GL24, we tailored our co-expression analysis approach, selecting gene pairs that exhibited differential co-expression in effective cells while excluding gene pairs that also showed differential patterns in non-effective cells. Constructing a co-expression network from these differential pairs, followed by enrichment analysis and functional annotation, revealed specific gene interactions and molecular pathways associated with GL24-mediated TNBC inhibition. These insights supported the previously established findings that showed convergence on apoptosis based on differentially expressed genes, while also providing complementary information by highlighting pathways involved in metabolic alterations, proliferation, and migration or invasion. This expanded understanding advances the knowledge of the mechanisms of GL24 in combating TNBC.
Indexed as
Identifiers
What Socratic 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 Socratic graph.