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Browsing by Author "Siegel, Jennifer J."
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Item Enhanced metastatic risk assessment in cutaneous squamous cell carcinoma with the 40-gene expression profile test(Future Medicine, 2022-03) Ibrahim, Sherrif F.; Kasprzak, Julia M.; Hall, Mary A.; Fitzgerald, Alison L.; Siegel, Jennifer J.; Kurley, Sarah J.; Covington, Kyle R.; Goldberg, Matthew S.; Farberg, Aaron S.; Trotter, Shannon C.; Reed, Kenneth; Brodland, David G.; Koyfman, Shlomo A.; Somani, Ally-Khan; Arron, Sarah T.; Wysong, Ashley; Dermatology, School of MedicineAim: To clinically validate the 40-gene expression profile (40-GEP) test for cutaneous squamous cell carcinoma patients and evaluate coupling the test with individual clinicopathologic risk factor-based assessment methods. Patients & methods: In a 33-site study, primary tumors with known patient outcomes were assessed under clinical testing conditions (n = 420). The 40-GEP results were integrated with clinicopathologic risk factors. Kaplan–Meier and Cox regression analyses were performed for metastasis. Results: The 40-GEP test demonstrated significant prognostic value. Risk classification was improved via integration of 40-GEP results with clinicopathologic risk factor-based assessment, with metastasis rates near the general cutaneous squamous cell carcinoma population for Class 1 and ≥50% for Class 2B. Conclusion: Combining molecular profiling with clinicopathologic risk factor assessment enhances stratification of cutaneous squamous cell carcinoma patients and may inform decision-making for risk-appropriate management strategies.Item Integrating the 40-Gene Expression Profile (40-GEP) Test Improves Metastatic Risk-Stratification Within Clinically Relevant Subgroups of High-Risk Cutaneous Squamous Cell Carcinoma (cSCC) Patients(Springer, 2024) Wysong, Ashley; Somani, Ally-Khan; Ibrahim, Sherrif F.; Cañueto, Javier; Fitzgerald, Alison L.; Siegel, Jennifer J.; Prasai, Anesh; Goldberg, Matthew S.; Farberg, Aaron S.; Regula, Christie; Bar, Anna; Kasprzak, Julia; Brodland, David G.; Koyfman, Shlomo A.; Arron, Sarah T.; Dermatology, School of MedicineIntroduction: The validated 40-gene expression profile (40-GEP) test independently stratifies risk of regional or distant metastasis for cutaneous squamous cell carcinoma (cSCC) tumors with high-risk clinicopathologic features. This study evaluated the stratification of risk by the 40-GEP test in a large cohort of tumors with one or more high-risk factors and in clinically relevant subgroups, including tumors within National Comprehensive Cancer Network (NCCN) high- and very-high-risk groups, lower-stage BWH T1 and T2a tumors, and patients > 65 years old. Methods: This multicenter (n = 58) performance study of the 40-GEP included 897 patients. Kaplan-Meier analyses were performed to assess risk stratification profiles for 40-GEP Class 1 (low), Class 2A (higher) and Class 2B (highest) risk groups, while nested Cox regression models were used to compare risk prediction of clinicopathologic risk classification systems versus risk classification systems in combination with 40-GEP. Results: Patients classified as 40-GEP Class 1, Class 2A, or Class 2B had significantly different metastatic risk profiles (p < 0.0001). Integrating 40-GEP results into models with individual clinicopathologic risk factors or risk classification systems (Brigham and Women's Hospital, American Joint Committee on Cancer Staging Manual, 8th Edition) and NCCN demonstrated significant improvement in accuracy for prediction of metastatic events (ANOVA for model deviance, p < 0.0001 for all models). Conclusion: The 40-GEP test demonstrates accurate, independent, clinically actionable stratification of metastatic risk and improves predictive accuracy when integrated into risk classification systems. The improved accuracy of risk assessment when including tumor biology via the 40-GEP test ensures more risk-aligned, personalized patient management decisions.Item Linear Self-Motion Cues Support the Spatial Distribution and Stability of Hippocampal Place Cells(Elsevier, 2018-06-04) Harvey, Ryan E.; Rutan, Stephanie A.; Willey, Gabrielle R.; Siegel, Jennifer J.; Clark, Benjamin J.; Yoder, Ryan M.; Psychology, School of ScienceThe vestibular system provides a crucial component of place-cell and head-direction cell activity [1-7]. Otolith signals are necessary for head-direction signal stability and associated behavior [8, 9], and the head-direction signal's contribution to parahippocampal spatial representations [10-14] suggests that place cells may also require otolithic information. Here, we demonstrate that self-movement information from the otolith organs is necessary for the development of stable place fields within and across sessions. Place cells in otoconia-deficient tilted mice showed reduced spatial coherence and formed place fields that were located closer to environmental boundaries, relative to those of control mice. These differences reveal an important otolithic contribution to place-cell functioning and provide insight into the cognitive deficits associated with otolith dysfunction.Item Real-World Evidence Shows Clinicians Appropriately Use the Prognostic 40-Gene Expression Profile (40-GEP) Test for High-Risk Cutaneous Squamous Cell Carcinoma (cSCC) Patients(Taylor & Francis, 2022-09) Hooper, Perry B.; Farberg, Aaron S.; Fitzgerald, Alison L.; Siegel, Jennifer J.; Rackley, Briana B.; Prasai, Anesh; Kurley, Sarah J.; Goldberg, Matthew S.; Litchman, Graham H.; Dermatology, School of MedicineTreatment decisions for patients with cutaneous squamous cell carcinoma (cSCC) are traditionally based upon clinicopathologic risk factors and staging systems. Due to the accuracy limitations of these resources in predicting poor outcomes, there is a clinically significant need for more accurate methods of risk assessment. The 40-gene expression profile (40-GEP) test was developed to augment metastatic risk prediction of high-risk cSCC patients and has been validated in two independent, multi-center studies involving over 1,000 patients. This study substantiates that the 40-GEP is appropriately utilized by clinicians and that the personalized risk-stratification results are impactful in guiding risk-aligned patient management.