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Nature Reviews. Clinical Oncology|February 21, 2019
Therapeutic implications of germline genetic findings in cancerSubotheni Thavaneswaran, Emma Rath, Kathy Tucker, et al.Surgery|October 18, 2024
Oncogenic mutations in the TP53 and PI-3 kinase/AKT pathway are independent predictors of survival for advanced thyroid cancer: Analysis from the Molecular Screening and Therapeutics (MoST) programElan Novis, Anthony Glover, John P Grady, et al.Nature Reviews. Clinical Oncology|April 19, 2019
Author Correction: Therapeutic implications of germline genetic findings in cancerSubotheni Thavaneswaran, Emma Rath, Kathy Tucker, et al.Journal of Genetic Counseling|February 19, 2018
Development and Pilot Testing of a Decision Aid for Genomic Research Participants Notified of Clinically Actionable Research Findings for Cancer RiskAmanda M Willis, Sian K Smith, Bettina Meiser, et al.Vascular Health and Risk Management|June 23, 2007
Vascular wall proteoglycan synthesis and structure as a target for the prevention of atherosclerosisPeter J Little, Mandy L Ballinger, Narin OsmanPatient Education and Counseling|May 21, 2023
Family communication and results disclosure after germline sequencing: A mixed methods studyCamelia Harrison, Nicci Bartley, Chris Jacobs, et al.Clinical Sarcoma Research|May 17, 2012
An increased incidence of Hodgkin's lymphoma in patients with adult-onset sarcomaMegan E Downing, Gillian S Dite, Mandy L Ballinger, et al.Journal of Genetic Counseling|January 20, 2021
Influence of lived experience on risk perception among women who received a breast cancer polygenic risk score: 'Another piece of the pie'Amanda M Willis, Sian K Smith, Bettina Meiser, et al.Patient Education and Counseling|May 21, 2021
Effectively communicating comprehensive tumor genomic profiling results: Mitigating uncertainty for advanced cancer patientsNicci Bartley, Megan C Best, Barbara B Biesecker, et al.Studies in Health Technology and Informatics|August 8, 2025
Automating Precision Oncology Literature Curation: A Decision Tree Approach Using Large Language ModelsFrank P Lin, Minh Tran, Subotheni Thavaneswaran, et al.Pageof 33