Publications by authors named "Stefanie Galban"

Background: Chronic obstructive pulmonary disease (COPD) exhibits considerable progression heterogeneity. We hypothesized that elastic principal graph analysis (EPGA) would identify distinct clinical phenotypes and their longitudinal relationships.

Methods: Cross-sectional data from 8,972 tobacco-exposed COPDGene participants, with and without COPD, were used to train a model with EPGA, using thirty clinical, physiologic and CT features.

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Background: Small airways disease (SAD) is a major cause of airflow obstruction in COPD patients and has been identified as a precursor to emphysema. Although the amount of SAD in the lungs can be quantified using our Parametric Response Mapping (PRM) approach, the full breadth of this readout as a measure of emphysema and COPD progression has yet to be explored. We evaluated topological features of PRM-derived normal parenchyma and SAD as surrogates of emphysema and predictors of spirometric decline.

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This manuscript has been withdrawn by the authors due to a dispute over co-first authorship that is currently being arbitrated by the medical school at our institution. Therefore, the authors do not wish this work to be cited as reference for the project. Upon completion of the arbitration process, we will take steps to revert the current withdrawn status.

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Article Synopsis
  • - Recent clinical trials for H3K27-altered diffuse midline gliomas (DMGs) are showing promising results, indicating potential advancements in treatment.
  • - The text identifies three key challenges: improving experimental models to include immune and brain-specific factors, fostering collaboration between researchers, clinicians, and the industry, and optimizing clinical processes like biopsy and drug delivery.
  • - Emphasizes that extensive collaboration is crucial for enhancing our understanding of DMGs, as well as improving diagnostics and therapies for these tumors.
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Unlabelled: Idiopathic pulmonary fibrosis (IPF) is characterized by progressive, often fatal loss of lung function due to overactive collagen production and tissue scarring. Patients with IPF have a sevenfold-increased risk of developing lung cancer. The COVID-19 pandemic has increased the number of patients with lung diseases, and infection can worsen prognoses for those with chronic lung diseases and disease-associated cancer.

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  • - The assessment of donor lungs for transplantation is mostly subjective and varies greatly, lacking standardized criteria; researchers explored using a CT-based machine learning algorithm to evaluate donor lungs before surgery.
  • - The study collected clinical data and CT scans from 100 cases, training a machine learning method called dictionary learning to identify specific image patterns related to lung health.
  • - The algorithm successfully detected lung abnormalities, highlighting patients with a higher risk of complications post-transplant and emphasizing the need for objective screening methods as the use of less-than-ideal donor lungs increases.
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Therapeutic resistance remains a major obstacle to successful clinical management of diffuse intrinsic pontine glioma (DIPG), a high-grade pediatric tumor of the brain stem. In nearly all patients, available therapies fail to prevent progression. Innovative combinatorial therapies that penetrate the blood-brain barrier and lead to long-term control of tumor growth are desperately needed.

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Rationale And Objectives: Small airways disease (SAD) and emphysema are significant components of chronic obstructive pulmonary disease (COPD), a heterogenous disease where predicting progression is difficult. SAD, a principal cause of airflow obstruction in mild COPD, has been identified as a precursor to emphysema. Parametric Response Mapping (PRM) of chest computed tomography (CT) can help distinguish SAD from emphysema.

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Therapeutic resistance remains a major obstacle to preventing progression of H3K27M-altered Diffuse Midline Glioma (DMG). Resistance is driven in part by ALDH-positive cancer stem cells (CSC), with high ALDH1A3 expression observed in H3K27M-mutant DMG biopsies. We hypothesized that ALDH-mediated stemness and resistance may in part be driven by the oncohistone itself.

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Early detection of lung cancer is critical for improvement of patient survival. To address the clinical need for efficacious treatments, genetically engineered mouse models (GEMM) have become integral in identifying and evaluating the molecular underpinnings of this complex disease that may be exploited as therapeutic targets. Assessment of GEMM tumor burden on histopathological sections performed by manual inspection is both time consuming and prone to subjective bias.

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Diffuse midline glioma (DMG) is the leading cause of brain tumor-related deaths in children. DMG typically presents with variable neurologic symptoms between ages 3 and 10. Currently, radiation remains the standard therapy for DMG to halt progression and reduce tumor bulk to minimize symptoms.

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  • * Loss of GOT2 disrupts the balance of cellular redox (oxidation-reduction), resulting in halted growth and proliferation of pancreatic ductal adenocarcinoma (PDA) cells in lab settings; however, it doesn't affect tumor growth in mouse models.
  • * The pancreatic tumor microenvironment, especially cancer-associated fibroblasts (CAFs), can restore PDA cell growth despite GOT2 loss by releasing pyruvate, highlighting how external factors influence
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Purpose: Parametric response mapping (PRM) of high-resolution, paired inspiration and expiration computed tomography (CT) scans is a promising analytical imaging technique that is currently used in diagnostic applications and offers the ability to characterize and quantify certain pulmonary pathologies on a patient-specific basis. As one of the first studies to implement such a technique in the radiation oncology clinic, the goal of this work was to assess the feasibility for PRM analysis to identify pulmonary abnormalities in patients with lung cancer before radiation therapy (RT).

Methods And Materials: High-resolution, paired inspiration and expiration CT scans were acquired from 23 patients with lung cancer as part of routine treatment planning CT acquisition.

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Chronic rejection of lung allografts has two major subtypes, bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS), which present radiologically either as air trapping with small airways disease or with persistent pleuroparenchymal opacities. Parametric response mapping (PRM), a computed tomography (CT) methodology, has been demonstrated as an objective readout of BOS and RAS and bears prognostic importance, but has yet to be correlated to biological measures. Using a topological technique, we evaluate the distribution and arrangement of PRM-derived classifications of pulmonary abnormalities from lung transplant recipients undergoing redo-transplantation for end-stage BOS (N = 6) or RAS (N = 6).

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Background: Radiologic evidence of air trapping (AT) on expiratory computed tomography (CT) scans is associated with early pulmonary dysfunction in patients with cystic fibrosis (CF). However, standard techniques for quantitative assessment of AT are highly variable, resulting in limited efficacy for monitoring disease progression.

Objective: To investigate the effectiveness of a convolutional neural network (CNN) model for quantifying and monitoring AT, and to compare it with other quantitative AT measures obtained from threshold-based techniques.

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Article Synopsis
  • Understanding the cancer stem cell (CSC) characteristics in diffuse intrinsic pontine glioma (DIPG) is crucial for overcoming treatment resistance and finding new therapies.
  • Patient-derived DIPG cells showed varying levels of aldehyde dehydrogenase (ALDH) and CD133, indicating a stem-like phenotype associated with increased cell growth and survival challenges.
  • Targeting the MAPK/PI3K/mTOR signaling pathway can inhibit tumor growth and metabolism in ALDH-positive tumors, suggesting potential for targeted therapy against the CSC traits in DIPG.
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An inexpensive, accurate focused ultrasound stereotactic targeting method guided by pretreatment magnetic resonance imaging (MRI) images for murine brain models is presented. An uncertainty of each sub-component of the stereotactic system was analyzed. The entire system was calibrated using clot phantoms.

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We previously reported that overexpression of cytochrome P450 family 24 subfamily A member 1 (CYP24A1) increases lung cancer cell proliferation by activating RAS signaling and that CYP24A1 knockdown inhibits tumor growth. However, the mechanism of CYP24A1-mediated cancer cell proliferation remains unclear. Here, we conducted cell synchronization and biochemical experiments in lung adenocarcinoma cells, revealing a link between CYP24A1 and anaphase-promoting complex (APC), a key cell cycle regulator.

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Parametric response mapping (PRM) is a novel computed tomography (CT) technology that has shown potential for assessment of bronchiolitis obliterans syndrome (BOS) after hematopoietic stem cell transplantation (HCT). The primary aim of this study was to evaluate whether variations in image acquisition under real-world conditions affect the PRM measurements of clinically diagnosed BOS. CT scans were obtained retrospectively from 72 HCT recipients with BOS and graft-versus-host disease from Fred Hutchinson Cancer Research Center, Karolinska Institute, and the University of Michigan.

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Metastatic prostate cancer to bone remains incurable, driving efforts to develop individualized, targeted therapies to improve clinical outcomes while limiting adverse side-effects. Due to the complexity in cellular signaling pathways and the interaction between cancer and its microenvironment, multiparametric imaging approaches for treatment response may improve understanding of the biological effects of therapy. An orthotopic model of castration resistant prostate cancer (CRPC) bone metastasis was treated with the tyrosine kinase inhibitor Cabozantinib (CABO).

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Purpose: ST-162 and ST-168 are small-molecule bifunctional inhibitors of MEK and PI3K signaling pathways that are being developed as novel antitumor agents. Previous small-molecule and biologic MEK inhibitors demonstrated ocular toxicity events that were dose limiting in clinical studies. We evaluated in vitro and in vivo ocular toxicity profiles of ST-162 and ST-168.

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  • Pancreatic cancer features common mutations in KRAS and TP53, with KRAS mutations occurring early in the disease process and TP53 mutations happening later.
  • Using genetically engineered mice, researchers replicated the mutation order found in human pancreatic tumors, demonstrating the evolving role of mutant p53 throughout cancer progression.
  • The study highlights that while mutant p53 is essential for the development of early cancer lesions, it becomes less crucial for tumor growth but continues to influence cancer metabolism and invasiveness.
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The structure-based design of a new single entity, MEK/PI3K bifunctional inhibitor (, ), which displays improved MEK1 and PI3K isoform inhibition, is described. demonstrated a 2.2-fold improvement in MEK1 inhibition and a 2.

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