Biology subjects

Mathey-Andrews, N.

Publications and source records attributed to Mathey-Andrews, N..

3 recordsLinked to original sources

bioRxiv2026

Modeling lung adenocarcinoma using layer-by-layer nanoparticles mitigates innate immune cell activation

Lung adenocarcinoma, driven frequently by KRAS and p53 mutations, remains a leading cause of cancer mortality. Current state-of-the-art genetically engineered mouse models often rely on viral delivery of recombinases, such as Cre recombinase, to initiate transformation. However, viral particles can infect and activate innate immune cells, thus potentially impacting studies of tumor-immune dynamics. Here, we develop a layer-by-layer (LbL) polyplex platform using poly({beta}-aminoester) (PBAE) polymers layered with poly-L-aspartic acid (PLD) to deliver Cre mRNA to lungs while avoiding immune cell transfection and activation. PLD-coated nanoparticles (PLD-NPs) exhibit stable mRNA encapsulation and efficient transfection in vitro, even after lyophilization and long-term storage. In KrasLSL-G12D/+;p53flox/flox (KP) mice, PLD-NPs initiate lung adenocarcinomas that mirror human histopathology without infecting or activating dendritic cells and alveolar macrophages, unlike lentiviral (LV) or adenoviral delivery methods. Single-cell transcriptional profiling revealed that LV administration drives long-term upregulation of antigen presentation and costimulatory machinery in lung-resident myeloid populations. This persistent immune activation is avoided by NP delivery. By uncoupling tumor initiation from innate immune activation, this platform enables the high-fidelity interrogation of tumor-immune dynamics, especially for non-inflammation-driven lung cancer.

immunology↗

bioRxiv2026

PRMT5 inhibitors actively promote metastatic progression of lung adenocarcinoma

Epigenetic changes are a major driver of cancer progression, placing considerable focus on epigenetic regulators as therapeutic targets. Protein arginine methyltransferase 5 (PRMT5) is one such regulator, and numerous PRMT5 inhibitors (PRMT5i) in clinical trials. Despite this, the mechanisms and consequences of PRMT5i-resistance are unknown. Here, we demonstrate that aggressive cancer progression is an inbuilt feature of PRMT5i-resistance acquisition in lung adenocarcinoma (LUAD). Independently-generated resistant cell lines gain dedifferentiation signatures that typify late-stage disease and show increased metastatic potential in vivo. We establish that these state shifts are a direct consequence of PRMT5i action; treatment induces rapid and widespread chromatin rewiring, enabling derepression of late-stage disease states that are stably established in resistant cells. Notably, treatment of lung tumor-bearing mice drives rapid disease advancement without decreasing tumor burden, showing that drug-induced disease progression supersedes any benefits from PRMT5 inhibition in vivo. Furthermore, analyses of human cell lines and patient cohorts supports the notion of PRMT5 inhibition-mediated dedifferentiation. Collectively our data show that PRMT5i can actively promote self-resistance and disease progression in different tumor types. This raises serious concerns for the use of PRMT5i in patients, arguing that clinical studies should consider the possibility of drug-induced plasticity, resistance, and disease advancement.

cancer biology↗

bioRxiv2024

Spatiotemporal lineage tracing reveals the dynamic spatial architecture of tumor growth and metastasis

Tumour progression is driven by dynamic interactions between cancer cells and their surrounding microenvironment. Investigating the spatiotemporal evolution of tumours can provide crucial insights into how intrinsic changes within cancer cells and extrinsic alterations in the microenvironment cooperate to drive different stages of tumour progression. Here, we integrate high-resolution spatial transcriptomics and evolving lineage tracing technologies to elucidate how tumour expansion, plasticity, and metastasis co-evolve with microenvironmental remodelling in a Kras;p53-driven mouse model of lung adenocarcinoma. We find that rapid subclonal expansion contributes to a hypoxic, immunosuppressive, and fibrotic microenvironment that is associated with the emergence of pro-metastatic cancer cell states. Furthermore, metastases arise from spatially-confined subclones of primary tumours and remodel the distant metastatic niche into a fibrotic, collagen-rich microenvironment. Together, we present a comprehensive dataset integrating spatial assays and lineage tracing to elucidate how sequential changes in cancer cell state and microenvironmental structures cooperate to promote tumour progression.

cancer biology↗