Biology subjects

Sequist, L. V.

Publications and source records attributed to Sequist, L. V..

4 recordsLinked to original sources

bioRxiv2025

Multimodal profiling of proinflammatory protease activity identifies caspase-1 as a target for lung cancer interception

The systemic inhibition of IL-1b, a key mediator of pulmonary inflammation, has been shown to reduce the incidence of lung cancer in patients in years following treatment, but knowledge gaps surrounding its activation and role in the tumor microenvironment are hindering approaches for cancer interception. We developed a suite of activity-based technologies to probe inflammation in early lung cancer and identified a translational target candidate. We designed probes sensitive to various IL-1b-activating proteases and applied them to a murine model of inflammatory lung cancer, Kras/Trp53-mutant with SIINFEKL expression (KPS). Our nanosensors revealed reduced cleavage of a caspase-1 reporter in the lungs of KPS mice treated with IL-1b antibody, as well as elevated caspase-1 expression and activity in naive tumor tissue sections, highlighting the importance of caspase-1 processing of IL-1b during cancer development. We conducted a pre-clinical trial of a novel combination intervention by administering both IL-1b blockade and caspase-1 inhibition shortly after tumor induction. Following treatment, we observed significant reduction in lung cancer formation, including complete ablation of tumor incidence in nearly 20% of KPS mice. Our approach to understand the interplay of protease activity and cytokine activation supports development of new strategies to mitigate inflammation and intercept lung cancer progression.

bioengineering↗

bioRxiv2024

Tumor cell-based liquid biopsy using high-throughput microfluidic enrichment of entire leukapheresis product

Circulating Tumor Cells (CTCs), interrogated by sampling blood from patients with cancer, contain multiple analytes, including intact RNA, high molecular weight DNA, proteins, and metabolic markers. However, the clinical utility of tumor cell-based liquid biopsy has been limited since CTCs are very rare, and current technologies cannot process the blood volumes required to isolate a sufficient number of tumor cells for in-depth assays. We previously described a high-throughput microfluidic prototype utilizing high-flow channels and amplification of cell sorting forces through magnetic lenses. Here, we apply this technology to analyze patient-derived leukapheresis products, interrogating a mean blood volume of 5.83 liters from patients with metastatic cancer, with a median of 2,799 CTCs purified per patient. Isolation of many CTCs from individual patients enables characterization of their morphological and molecular heterogeneity, including cell and nuclear size and RNA expression. It also allows robust detection of gene copy number variation, a definitive cancer marker with potential diagnostic applications. High-volume microfluidic enrichment of CTCs constitutes a new dimension in liquid biopsies.

bioengineering↗

bioRxiv2021

APOBEC3A drives acquired resistance to targeted therapies in non-small cell lung cancer

Acquired drug resistance to even the most effective anti-cancer targeted therapies remains an unsolved clinical problem. Although many drivers of acquired drug resistance have been identified1-6, the underlying molecular mechanisms shaping tumor evolution during treatment are incompletely understood. The extent to which therapy actively drives tumor evolution by promoting mutagenic processes7 or simply provides the selective pressure necessary for the outgrowth of drug-resistant clones8 remains an open question. Here, we report that lung cancer targeted therapies commonly used in the clinic induce the expression of cytidine deaminase APOBEC3A (A3A), leading to sustained mutagenesis in drug-tolerant cancer cells persisting during therapy. Induction of A3A facilitated the formation of double-strand DNA breaks (DSBs) in cycling drug-treated cells, and fully resistant clones that evolved from drug-tolerant intermediates exhibited an elevated burden of chromosomal aberrations such as copy number alterations and structural variations. Preventing therapy-induced A3A mutagenesis either by gene deletion or RNAi-mediated suppression delayed the emergence of drug resistance. Finally, we observed accumulation of A3A mutations in lung cancer patients who developed drug resistance after treatment with sequential targeted therapies. These data suggest that induction of A3A mutagenesis in response to targeted therapy treatment may facilitate the development of acquired resistance in non-small-cell lung cancer. Thus, suppressing expression or enzymatic activity of A3A may represent a potential therapeutic strategy to prevent or delay acquired resistance to lung cancer targeted therapy.

cancer biology↗

bioRxiv2019

Modeling Resistance and Recurrence Patterns of Combined Targeted- Chemoradiotherapy Predicts Benefit of Shorter Induction Period

The optimal integration of molecularly targeted therapies with concurrent chemotherapy and radiation (CRT) to improve cures in genotype-defined cancers is unknown. Here, we develop a bio-mathematical framework to simulate patterns of local versus distant recurrences in a heterogeneous lung cancer population receiving combined targeted therapy and CRT. Our validated model predicts that targeted induction before CRT, an approach currently being tested in clinical trials, may render adjuvant targeted therapy less effective due to proliferation of drug-resistant cancer cells when using very long induction periods. Furthermore, our simulations not only demonstrate the competing effects of drug-resistant cell expansion versus overall tumor regression as a function of induction length, but can also directly estimate the probability of observing an improvement in progression-free survival at a given cohort size. We thus demonstrate that such stochastic biological simulations have the potential to quantitatively inform the design of multimodality clinical trials in genotype-defined cancers.

biophysics↗