bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.64898/2026.05.17.725321

Unveiling Gloriosine as a Dual-Acting Regulator of Glutamine Metabolism and Ferroptosis in Triple-Negative Breast Cancer: Insights from Network Pharmacology and Experimental Validation

Dey, B.·Chatterjee, E.·Bansode, A.·Goel, B.·Jain, S. K.·Naik, P. K.·Guru, S. K.
View original source ↗Export metadata ↓

Abstract

BackgroundTNBC lacks clearly defined molecular targets, so chemotherapy remains the standard approach despite resistance, toxicity, and high relapse rates. New, less toxic therapeutic options are urgently needed. This study evaluated the anticancer potential of gloriosine, a plant-derived alkaloid known to inhibit tumor cell growth with minimal effect on normal breast cells. MethodsPutative targets of gloriosine were predicted using SwissTargetPrediction, TargetNet, and PharmMapper, then intersected with gene sets linked to TNBC and glutamine metabolism. The resulting network was characterized through protein-protein interaction mapping and Gene Ontology/KEGG enrichment analysis. Molecular docking assessed binding affinity to top targets, and predictions were validated experimentally using cell viability, colony formation, and wound-healing assays. Oxidative stress and ferroptosis were assessed via ROS (DCFDA), glutathione, and lipid peroxidation (MDA) assays, along with Western blotting and FerroOrange staining. ResultsNetwork analysis identified 100 predicted targets, 60 overlapping with TNBC/glutamine-metabolism genes; SRC, EGFR, mTOR, and HSP90AA1 emerged as hub proteins. Enrichment analysis linked this network to cancer progression, metabolic reprogramming, and resistance pathways, including central carbon metabolism and ErbB/EGFR-inhibitor resistance signaling. Docking confirmed strong gloriosine-target binding. Experimentally, gloriosine reduced cell proliferation and migration in a dose-dependent manner. Mechanistically, it suppressed glutaminolysis and induced ferroptosis, marked by increased ROS, glutathione depletion, elevated lipid peroxidation, GPX4 suppression, and intracellular iron accumulation. ConclusionsGloriosine suppresses TNBC growth via multi-target modulation and ferroptosis induction, supporting its potential as a novel anticancer candidate. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=133 SRC="FIGDIR/small/725321v2_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@aaebf6org.highwire.dtl.DTLVardef@16988bforg.highwire.dtl.DTLVardef@190db4dorg.highwire.dtl.DTLVardef@12dc2fd_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstractC_FLOATNO Flow chart of the network pharmacological and in vitro study of gloriosine C_FIG

Explore related subjects

cancer biologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Dey, B., Chatterjee, E., Bansode, A., Goel, B., Jain, S. K., Naik, P. K., Guru, S. K.. 2026-05-19. Unveiling Gloriosine as a Dual-Acting Regulator of Glutamine Metabolism and Ferroptosis in Triple-Negative Breast Cancer: Insights from Network Pharmacology and Experimental Validation. https://doi.org/10.64898/2026.05.17.725321

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

bioRxiv2026

m6A-Driven Intratumoral Cholesterol Biosynthesis Fuels Castration-Resistant Prostate Cancer Progression

Both nuclear pore complexes (NPCs) and RNA N6-methyladenosine (m6A) machinery are indispensable for proper cellular function. Although their collaborative roles in the nuclear export of messenger RNAs (mRNAs) have been reported, it remains ambiguous whether and how this collaboration may contribute to cancer progression. Here we identify a functional cooperation between NPCs and m6A signaling that promotes the development of castration-resistant prostate cancer (CRPC). We showed that nuclear export of m6A-modified mRNAs, mediated by the interaction between RNA methyltransferase METTL3 and the nucleoporin NUP93, is functionally coupled to cholesterol biosynthesis. Given that cholesterol-fueled intratumoral androgen production is one of the mechanisms driving CRPC, we demonstrated that overexpression of the wild-type METTL3 or NUP93, but neither the enzymatically dead METTL3 nor the mutant NUP93 that loses METTL3-interacting capability, elevates intracellular levels of androgens, activates AR signaling under castrate condition, and promotes androgen-independent growth of prostate cancer cells both in vitro and in vivo. Importantly, pharmacological inhibition of METTL3 or targeted demethylation on mRNAs encoding key cholesterol biosynthesis enzymes effectively suppressed CRPC malignancy. Together, these findings uncover a therapeutically targetable m6A-METTL3-NUP93 axis that links nuclear mRNA export and metabolic reprogramming to fuel CRPC progression, providing a conceptually new strategy for the treatment of this lethal disease.

cancer biology↗
bioRxiv2026

ST6Gal2 promotes α2,6-sialylation and aggressive phenotypes in neuroblastoma cells

Neuroblastoma is the most common extracranial solid tumor of childhood. Its clinical behavior ranges from spontaneous regression to lethal, treatment-refractory disease. Aberrant 2,6-sialylation contributes to aggressive phenotypes in many cancers, but the role of ST6Gal2, a neural-enriched 2,6-sialyltransferase, in neuroblastoma is largely unexplored. Here, we examine the clinical and functional significance of ST6Gal2 in neuroblastoma. In two independent public cohorts (SEQC, n=498; Kocak, n=649), high ST6GAL2 expression was associated with significantly worse overall and event-free survival. In the SEQC cohort, ST6GAL2 expression was higher in high-risk and MYCN-amplified tumors, varied across International Neuroblastoma Staging System stages, and correlated positively with a mesenchymal transcriptional signature (Spearman {rho}=0.181). The mesenchymal correlation was reproduced in the Kocak cohort ({rho}=0.204). Stable shRNA-mediated knockdown of ST6GAL2 in SK-N-AS and SK-N-BE(2) cells reduced proliferation and viability, impaired wound closure, and decreased migration and invasion. In preliminary experiments in SK-N-AS cells, ST6GAL2 knockdown reduced binding of Sambucus nigra agglutinin, consistent with a role for ST6Gal2 in 2,6-sialylation. Together, these findings link ST6Gal2 expression to aggressive clinical and transcriptional features and pro-tumorigenic phenotypes in neuroblastoma and nominate ST6Gal2-mediated sialylation as a candidate pathway for mechanistic study.

cancer biology↗
bioRxiv2026

Unsupervised transcriptomic analysis of paired pre- and post-treatment specimens reveals divergent chemoimmunomodulatory induction trajectories in breast cancer

The immunomodulatory effects of chemotherapy (chemoimmunomodulation; CIM) are clinically consequential and heterogeneous, yet no systematic framework exists for classifying the immunomodulatory trajectory a tumor follows in response to treatment (CIM trajectory). Here, we present the CIM Induction Classifier (CIMIC), an unsupervised clustering pipeline leveraging delta gene expression across 3,189 CIM-related genes to classify specimens chemoimmunomodulatory trajectory. Applied to two pre- and post-chemotherapy breast cancer (BC) datasets (NKI/SMC, N = 36; NEO, N = 19) and nine epirubicin-perturbed triple-negative BC (TNBC) cell lines, CIMIC identified two divergent CIM trajectories: a functional CIM (Fun-CIM) trajectory, broadly conserved across tumors and cell lines and characterized by induction of inflammatory cell death, antigen presentation, viral mimicry, and adaptive immune activation programs, and a dysfunctional CIM (Dys-CIM) trajectory, characterized by induction of proteostatic and metabolic stress-adaptation programs, reduced immune cell abundances and cytotoxic activity, and enrichment of aggressive BC subtypes. Using survival and longitudinal transcriptomic data in NKI/SMC (N = 20), treatment-induced increases in Fun-CIM-associated genes and ssGSEA scores were associated with reduced recurrence, whereas Dys-CIM-associated genes and scores were associated with increased recurrence. In multivariable analyses within independent chemotherapy-treated BC cohorts (METABRIC, N = 412; SCAN-B, N = 2,462), higher baseline Fun-CIM ssGSEA scores were associated with better outcomes, whereas higher baseline Dys-CIM ssGSEA scores were associated with worse outcomes. These findings establish CIM as a dynamic, trajectory-level process and position CIMIC as a framework for defining CIM trajectories and supporting future efforts to identify predictors, mechanisms, and therapeutic strategies that maximize beneficial CIM.

cancer biology↗