Athanasios C. Tsiatis
3 Papers
Athanasios C. Tsiatis is an academic researcher. The author has contributed to research in topics: Prostate cancer & Hazard ratio. The author has an hindex of 3, co-authored 3 publications.
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Papers
A 17-gene Assay to Predict Prostate Cancer Aggressiveness in the Context of Gleason Grade Heterogeneity, Tumor Multifocality, and Biopsy Undersampling
Eric A. Klein,Matthew R. Cooperberg,Cristina Magi-Galluzzi,Jeffry P. Simko,Sara M. Falzarano,Tara Maddala,June M. Chan,Jianbo Li,Janet E. Cowan,Athanasios C. Tsiatis,Diana B. Cherbavaz,Robert J. Pelham,Imelda Tenggara-Hunter,Frederick L. Baehner,Dejan Knezevic,Phillip G. Febbo,Steven Shak,Michael W. Kattan,Mark Lee,Peter R. Carroll +19 more
TL;DR: GPS was validated for its ability to predict men who have high-grade or high-stage PCa at diagnosis and may help men diagnosed with PCa decide between active surveillance and immediate definitive treatment.
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The 17-Gene Genomic Prostate Score Assay Predicts Outcome After Radical Prostatectomy Independent of PTEN Status.
Cristina Magi-Galluzzi,Sudhir Isharwal,Sara M. Falzarano,Athanasios C. Tsiatis,Anne Dee,Tara Maddala,Dejan Knezevic,Phillip G. Febbo,Jeffrey Lawrence,Eric A. Klein +9 more
TL;DR: In this paper, the ability of loss of phosphatase and tensin homolog (PTEN) and Genomic prostate score assay (GPS) in predicting the biochemical recurrence and clinical-recurrence (CR) after radical prostatectomy (RP) for clinically localized prostate cancer (PCa).
A 16-gene assay to predict recurrence after surgery in localised renal cell carcinoma: Development and validation studies
Brian I. Rini,Audrey Goddard,Dejan Knezevic,Tara Maddala,Ming Zhou,Hakan Aydin,Steven C. Campbell,Paul Elson,Serge Koscielny,Margarita Lopatin,Christer Svedman,Jean-Francois Martini,J. Andrew Williams,Virginie Verkarre,Camelia Radulescu,Yann Neuzillet,Isabelle Hemmerle,Marc Olivier Timsit,Athanasios C. Tsiatis,Michael Bonham,Thierry Lebret,Arnaud Mejean,Bernard Escudier +22 more
TL;DR: The findings validate the recurrence score as a predictor of clinical outcome in patients with stage I-III clear cell renal cell carcinoma, providing a more accurate and individualised risk assessment beyond existing clinical and pathological parameters.