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Browsing by Author "Liu, David"
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Item A PERK-Specific Inhibitor Blocks Metastatic Progression by Limiting Integrated Stress Response-Dependent Survival of Quiescent Cancer Cells(American Association for Cancer Research, 2023) Calvo, Veronica; Zheng, Wei; Adam-Artigues, Anna; Staschke, Kirk A.; Huang, Xin; Cheung, Julie F.; Nobre, Ana Rita; Fujisawa, Sho; Liu, David; Fumagalli, Maria; Surguladze, David; Stokes, Michael E.; Nowacek, Ari; Mulvihill, Mark; Farias, Eduardo F.; Aguirre-Ghiso, Julio A.; Biochemistry and Molecular Biology, School of MedicinePurpose: The integrated stress response (ISR) kinase PERK serves as a survival factor for both proliferative and dormant cancer cells. We aim to validate PERK inhibition as a new strategy to specifically eliminate solitary disseminated cancer cells (DCC) in secondary sites that eventually reawake and originate metastasis. Experimental design: A novel clinical-grade PERK inhibitor (HC4) was tested in mouse syngeneic and PDX models that present quiescent/dormant DCCs or growth-arrested cancer cells in micro-metastatic lesions that upregulate ISR. Results: HC4 significantly blocks metastasis, by killing quiescent/slow-cycling ISRhigh, but not proliferative ISRlow DCCs. HC4 blocked expansion of established micro-metastasis that contained ISRhigh slow-cycling cells. Single-cell gene expression profiling and imaging revealed that a significant proportion of solitary DCCs in lungs were indeed dormant and displayed an unresolved ER stress as revealed by high expression of a PERK-regulated signature. In human breast cancer metastasis biopsies, GADD34 expression (PERK-regulated gene) and quiescence were positively correlated. HC4 effectively eradicated dormant bone marrow DCCs, which usually persist after rounds of therapies. Importantly, treatment with CDK4/6 inhibitors (to force a quiescent state) followed by HC4 further reduced metastatic burden. In HNSCC and HER2+ cancers HC4 caused cell death in dormant DCCs. In HER2+ tumors, PERK inhibition caused killing by reducing HER2 activity because of sub-optimal HER2 trafficking and phosphorylation in response to EGF. Conclusions: Our data identify PERK as a unique vulnerability in quiescent or slow-cycling ISRhigh DCCs. The use of PERK inhibitors may allow targeting of pre-existing or therapy-induced growth arrested "persister" cells that escape anti-proliferative therapies.Item Development of the 12-Item Facial Complaints Evaluation Scale (FaCES-12)(Sage, 2024) Higgins, Thomas S.; Shutt, Travis A.; Ting, Jonathan Y.; Illing, Elisa A.; Tang, Dennis M.; Kosaraju, Nikitha; Potts, Kevin; Cash, Liz; Liu, David; Sheeley, Kathleen A.; Wu, Arthur W.; Otolaryngology -- Head and Neck Surgery, School of MedicineObjectives: Chronic rhinosinusitis and related rhinologic disorders are common in routine otolaryngologic practice. Common presenting symptoms include nasal obstruction, facial pain, facial pressure, headache, and a subjective feeling of the face feeling "swollen," a perceptual distortion. No validated scale exists to assess facial pain in addition to perceptual distortion or headache. The objective was to develop a novel scale for assessment of facial symptoms experienced by patients presenting for rhinologic evaluation. Methods: This was a prospective validation cross-sectional study. A patient questionnaire, the 12-item Facial Complaints Evaluation Scale (FaCES-12), was created to evaluate facial symptoms based on clinical experience and the literature, including severity and timing of facial pain, facial pressure, facial perceptual swelling, and headache. Each item was assessed utilizing an 11-point Likert scale ranging from 0 to 10 in severity. Data was collected prospectively from 210 patients in 1 private and 2 academic otolaryngologic practices from August to December 2019 along with the PROMIS Pain Intensity Scale 3a and 22-Item Sino-nasal Outcome Test. Construct validity was determined using Pearson correlation and exploratory factor analysis. Internal consistency and test-retest reliability were assessed by calculating Cronbach's alpha and assessing test-retest scores. Results: A new 12-item scale named FaCES-12 was developed. FaCES-12 demonstrated high reliability with a Cronbach's alpha of .94 and high test-retest reliability (r = .90). The scale revealed very strong correlation with the PROMIS Pain Intensity Scale 3a (r = .81) and moderate correlation with the Sino-nasal Outcome Test (r = .48). Exploratory factor analysis demonstrated the scale contained interrelated variables that measured unique components of facial sensations. Conclusion: The FaCES-12 is a valid and reliable instrument for use in the evaluation of facial symptoms. Further research into the application of this scale is warranted.Item Integrating molecular profiles into clinical frameworks through the Molecular Oncology Almanac to prospectively guide precision oncology(Springer Nature, 2021) Reardon, Brendan; Moore, Nathanael D.; Moore, Nicholas S.; Kofman, Eric; AlDubayan, Saud H.; Cheung, Alexander T.M.; Conway, Jake; Elmarakeby, Haitham; Imamovic, Alma; Kamran, Sophia C.; Keenan, Tanya; Keliher, Daniel; Konieczkowski, David J.; Liu, David; Mouw, Kent W.; Park, Jihye; Vokes, Natalie I.; Dietlein, Felix; Van Allen, Eliezer M.; Medicine, School of MedicineTumor molecular profiling of single gene-variant ('first-order') genomic alterations informs potential therapeutic approaches. Interactions between such first-order events and global molecular features (for example, mutational signatures) are increasingly associated with clinical outcomes, but these 'second-order' alterations are not yet accounted for in clinical interpretation algorithms and knowledge bases. We introduce the Molecular Oncology Almanac (MOAlmanac), a paired clinical interpretation algorithm and knowledge base to enable integrative interpretation of multimodal genomic data for point-of-care decision making and translational-hypothesis generation. We benchmarked MOAlmanac to a first-order interpretation method across multiple retrospective cohorts and observed an increased number of clinical hypotheses from evaluation of molecular features and profile-to-cell line matchmaking. When applied to a prospective precision oncology trial cohort, MOAlmanac nominated a median of two therapies per patient and identified therapeutic strategies administered in 47% of patients. Overall, we present an open-source computational method for integrative clinical interpretation of individualized molecular profiles.