Search bioRxiv⌕ Search

bioRxiv · 10.1101/2023.04.28.538664

Hypoxia-induced circSTT3A maintains Breast Cancer Stem Cell formation by Stabilizing PGK1 protein

Abstract

BackgroundHypoxia is a key feature of tumor microenvironment that can cause fundamental changes in cancer cells, and may also lead to the development of breast cancer stem cells (BCSCs) with self-renewal ability. However, the mechanism of hypoxia in inducing BCSCs is not fully understood. MethodsPerforming RNA sequence and bioinformatics analysis, a hypoxia specific circular RNA (circRNA), named circSTT3A, was identified in hypoxic breast cancer cells and tissues. The clinical significance of circSTT3A was investigated in breast cancer (BC) tissues and tissue array. The loss and acquisition of circSTT3A were carried out in vivo and in vitro to confirm its functional roles in BCSC stemness maintenance. HIF1 droved circSTT3A expression was evaluated by chromatin immunoprecipitation and dual luciferase reporter assays. RNA pull-down, RNA immunoprecipitation, silver staining detection, mass spectrographic analysis, co-immunoprecipitation assays and western blotting were exerted to determine circSTT3A directly binding with HSP70 and PGK1 proteins. CircSTT3A-mediated serine metabolism was determined by UHPLC-QTRAP-MS system and ELISA kit. BC mouse model was used to assess the effects of circSTT3A/Hsp70/PGK1 on tumorigenesis and chemotherapy resistance in vivo. ResultsA novel hypoxia specific circSTT3A was significantly upregulated in clinical breast cancer tissues, and was related to the clinical stage and poor prognosis of BC patients. The hypoxia inducible factor 1 alpha (HIF1)-regulated circSTT3A has remarkable effect on mammosphere formation in breast cancer cells. Our work revealed that circSTT3A directly interacting with nucleotide-binding domain of heat shock protein 70 (HSP70) increases the ability of HSP70 to recruit phosphoglycerate kinase 1 (PGK1) via its substrate-binding domain, which reduces the ubiquitination of PGK1 and increases the stability of PGK1. The enhanced PGK1 catalyzes 1,3-diphosphoglycerate (1, 3-BPG) into 3-phosphoglycerate (3-PG) leading to 3-PG accumulation and increase of serine synthesis, thus to facilitate BCSC enrichment under hypoxic microenvironment. Loss of circSTT3A or PGK1 substantially induces suppression in tumor initiation and tumor growth, which dramatically increases tumor sensitivity to Doxorubicin treatment in mice. ConclusionsHypoxia induced circSTT3A/HSP70/PGK1 axis plays a critical role in maintaining BCSC properties and may be meaningful for treating patients with breast cancer.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ming, X., Sun, Y., Zhou, X., Qin, Y., Yang, L., Wen, S., Qiu, Y., Jin, T., Chen, S., Tang, R., Guo, Y., Mranran, L.. 2023-05-01. Hypoxia-induced circSTT3A maintains Breast Cancer Stem Cell formation by Stabilizing PGK1 protein. https://doi.org/10.1101/2023.04.28.538664

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↗