Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.05.28.656679

Targeted suppression of SPP1 inhibits tumor invasion and metastasis in NRF2 hyperactivated cisplatin resistant HNSCC

Abstract

PurposeCisplatin is the gold standard systemic agent for definitive treatment of HNSCC. The purpose of this study was to investigate the role of SPP1 in the progression and metastasis of cisplatin-resistant HNSCC, particularly in the context of NRF2 hyperactivation. Experimental DesignCDDP resistant HNSCC cell lines stably expressing various shRNA SPP1 constructs were generated. Clonogenic survival assays and a mouse model of oral cancer were used to examine the impact of silenced SPP1 in vitro and in vivo on CDDP sensitivity and tumor progression. Western blotting, cell invasion, functional proteomics RPPA and spatial transcriptomic analyses were performed to identify molecular interactions and metastatic signaling pathways. ResultsTargeted suppression of SPP1 improved cisplatin sensitivity, inhibited tumor invasion and metastasis in vitro and in vivo as well as several metastatic signaling proteins in NRF2- hyperactivated HNSCC. Spatial transcriptomic analysis revealed a potential mechanistic interaction between SPP1, integrins and CD44 receptors in primary and metastatic HNSCC. Spatial annotation and enrichment analyses using HALLMARK revealed gene set signatures of interferon and EMT present in cell clusters with SPP1 expression in both the primary tumor and lung metastases. Finally, increased expression of SPP1 was found to be poor prognostic factor and significantly correlated with NFE2L2/KEAP1 mutational status and higher tumor grade in HNSCC patients. ConclusionsTargeting dysregulated SPP1 improved cisplatin sensitivity, inhibited tumor invasion and metastasis in NRF2-hyperactivated HNSCC. These findings highlight the therapeutic potential of targeting SPP1 and the need for developing specific SPP1 inhibitors to improve outcomes for patients with HNSCC. Translational RelevanceCisplatin-based chemotherapy remains the standard of care for patients with locally advanced head and neck squamous cell carcinoma. Cisplatin resistance often leads to treatment failure and metastasis which accounts for the majority of mortality associated with this disease. Unfortunately, there are no effective therapeutic agents to overcome cisplatin resistance in HNSCC. Here, we present compelling evidence that targeting SPP1 (also known as osteopontin) inhibits cisplatin resistance, tumor progression and metastasis in NRF2-hyperactivated HNSCC, positioning it as a potential therapeutic target to improve treatment outcomes in HNSCC.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Kawabe, M., Yang, S., Bolanos, L. G., Takamatsu, S., Flores, S. A., Castro, P. D., Tsai, T.-Y., Kaga, A. N., Frederick, M. J., Sandulache, V., Kadara, H., Myers, J. N., Osman, A. A.. 2025-06-01. Targeted suppression of SPP1 inhibits tumor invasion and metastasis in NRF2 hyperactivated cisplatin resistant HNSCC. https://doi.org/10.1101/2025.05.28.656679

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

KEEP EXPLORING

Related preprints

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↗

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↗

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↗