bioRxiv Science⌕ Search
Home/Archive/bioRxiv

bioRxiv · 10.1101/2024.06.10.598307

Multimodal Phasor Approach to study breast cancer cells invasion in 3D spheroid model

Tedeschi, G.·Palomba, F.·Scipioni, L.·Digman, M. A.
View original source ↗Export metadata ↓

Abstract

We implemented a multimodal set of functional imaging techniques optimized for deep-tissue imaging to investigate how cancer cells invade surrounding tissues and how their physiological properties change in the process. As a model for cancer invasion of the extracellular matrix, we created 3D spheroids from triple-negative breast cancer cells (MDA-MB-231) and non-tumorigenic breast epithelial cells (MCF-10A). We analyzed multiple hallmarks of cancer within the same spheroid by combining a number of imaging techniques, such as metabolic imaging of NADH by Fluorescence Lifetime Imaging Microscopy (NADH-FLIM), hyperspectral imaging of a solvatochromic lipophilic dye (Nile Red) and extracellular matrix imaging by Second Harmonic Generation (SHG). We included phasor-based bioimage analysis of spheroids at three different time points, tracking both morphological and biological properties, including cellular metabolism, fatty acids storage, and collagen organization. Employing this multimodal deep-imaging framework, we observed and quantified cancer cell plasticity in response to changes in the environment composition.

Source connections

Explore related subjects

cancer biologyPreprint

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Tedeschi, G., Palomba, F., Scipioni, L., Digman, M. A.. 2024-06-12. Multimodal Phasor Approach to study breast cancer cells invasion in 3D spheroid model. https://doi.org/10.1101/2024.06.10.598307

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

KEEP EXPLORING

Related preprints

bioRxiv2026

An Oxidative Stress-Associated Seven-Gene Prognostic Signature in Lung Adenocarcinoma: Integrative Transcriptomic Analysis Across Public Cohorts

Lung adenocarcinoma is molecularly heterogeneous, and oxidative-stress programs can support either tumor restraint or tumor adaptation depending on cellular context. This study integrated public lung adenocarcinoma transcriptomic cohorts to identify oxidative-stress-associated expression features and evaluate their prognostic relevance. Expression profiles from The Cancer Genome Atlas, Genotype-Tissue Expression project, and GEO series GSE31210, GSE40791, and GSE30219 were analyzed. Differential expression, weighted gene co-expression network analysis, functional enrichment, univariable Cox regression, and least absolute shrinkage and selection operator Cox modeling were combined to derive a risk signature. Immune-cell enrichment, gene set enrichment analysis, gene set variation analysis, and pan-cancer analyses were used for biological characterization. A total of 1,305 genes differed between tumor and control samples, including 498 upregulated and 807 downregulated genes. Intersection of differentially expressed genes, the oxidative-stress-associated co-expression module, and the oxidative-stress gene set yielded 44 genes enriched in responses to reactive oxygen species and hydrogen peroxide, antioxidant and peroxidase activities, focal adhesion, Rap1 signaling, and PI3K-Akt signaling. A seven-gene signature comprising FBLN5, HBB, FYN, HGF, TFAP2A, PLIN5, and F2RL1 stratified the 523-sample training cohort and the 207-sample internal validation cohort into groups with different overall survival. Time-dependent areas under the receiver operating characteristic curve at 1, 3, and 5 years were 0.677, 0.622, and 0.649 in training and 0.613, 0.691, and 0.706 in internal validation. In the 85-case GSE30219 external cohort, corresponding values were 0.588, 0.661, and 0.631; survival separation followed the expected direction but did not reach statistical significance (log-rank P = 0.100). Seventeen immune-cell signatures differed between risk groups, while high-risk tumors were enriched for cell-cycle, DNA-replication, mismatch-repair, glycolytic, E2F, G2M-checkpoint, MYC-target, and mTORC1-related programs. The signature therefore captures reproducible oxidative-stress-associated transcriptional variation with moderate prognostic discrimination. Its clinical utility requires prospective evaluation, complete clinical adjustment, and experimental validation.

cancer biology↗
bioRxiv2026

Nanoparticle size governs engagement with myeloid cells and hitchhiking to hematopoietic organs in myeloproliferative neoplasms

Nanoparticle design principles contribute to desirable in vivo performance, including prolonged circulation, desirable biodistribution profiles, and tuned interactions with the immune system. The importance of these variables, although well-established in solid tumors, remains elusive in the context of hematological malignancies. Here, we investigated the influence of liposome size on biodistribution and cellular uptake within hematopoietic compartments - bone marrow (BM) and spleen - in JAK2V617F myeloproliferative neoplasms (MPN). A milli-fluidic manufacturing platform combined with a Design-of-Experiments (DoE) approach was used to generate small, medium, and large liposomes. Liposome uptake was assessed ex vivo using blood samples from healthy donors and MPN patients, followed by in vivo biodistribution studies in a transgenic JAK2V617F MPN mouse model. Organ-level accumulation was quantified using hybrid fluorescence / computed tomography (FLT/CT) imaging, while cellular uptake was evaluated via flow cytometry. Whole-body imaging revealed that increasing liposome size enhanced delivery to both the spleen and BM, with larger liposomes exhibiting the highest accumulation in both organs. Cellular analysis corroborated the in vivo observations, demonstrating that large liposomes are taken up to a greater extent by monocytes and granulocytes, in both spleen and BM. At late time-points post-injection, the liposomal accumulation was twice as high in the BM in comparison to the spleen and peripheral blood, highlighting the progressively elevated accumulation and retention in the BM, as opposed to the elimination phase nanoparticles undergo in clearance organs and circulation at these time-points. Of note, among BM mature myeloid cells, neutrophils were associated with a higher nanoparticle uptake than monocytes, highlighting their capability to phagocytose material in circulation and hitchhike it to malignant or inflamed regions. These findings demonstrate that continuous flow manufacturing procedures can swiftly produce nanoparticles with desirable characteristics that are essential for tuning the biodistribution towards hematopoietic organs and myeloid immune cells. By providing mechanistic insights into nanoparticle behavior within hematopoietic compartments, this work advances our understanding of nanomedicine in vivo performance and highlights particle size as a critical quality attribute that can be optimized and controlled to improve targeted delivery to myeloid cells in the treatment of hematological malignancies.

cancer biology↗
bioRxiv2026

A stromal metabolic program suppresses NK-cell immunity to drive tumor progression in HER2-low breast cancer

Cancer-associated fibroblasts (CAFs) are major regulators of the tumor microenvironment, yet how distinct CAF states suppress innate immunity in HER2-low breast cancer remains poorly understood. Here, we identify an S100A4-enriched CAF population that expands during HER2-low breast tumor progression and establishes a metabolically immunosuppressive niche. Spatial transcriptomics and multiplex imaging of human HER2-low tumors reveal progressive CAF accumulation and an inverse spatial association between S100A4-enriched CAFs and immune infiltration, including natural killer (NK) cells. Using an immunocompetent HER2-low mammary tumor model, we show that S100A4-enriched CAFs promote tumor initiation and progression while suppressing NK-cell cytotoxicity, IFN-{gamma} production, perforin, and granzyme B. Fractionation of CAF-conditioned media and metabolic profiling identify a low-molecular-weight immunosuppressive program characterized by enhanced branched-chain amino acid catabolism and accumulation of branched-chain -keto acids (BCKAs). Mechanistically, BCKAs directly suppress NK-cell IFN-{gamma} production, whereas inhibition of the branched-chain aminotransferase BCAT1 reduces CAF-mediated NK-cell suppression and restores antitumor cytotoxicity. BCAT1 inhibition also suppresses HER2-low tumor growth in vivo, an effect attenuated by NK-cell depletion, establishing NK-cell restoration as a functional component of its antitumor activity. Together, these findings uncover a CAF-driven metabolic immune checkpoint in which S100A4-enriched CAFs exploit BCAT1-dependent BCKA production to suppress NK-cell surveillance and promote HER2-low breast tumor progression. Targeting stromal BCAT1 therefore represents a potential strategy to dismantle CAF-mediated immune suppression and restore innate antitumor immunity.

cancer biology↗