K
Kenneth J. Pienta
Researcher at Johns Hopkins University School of Medicine
Publications - 751
Citations - 72579
Kenneth J. Pienta is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Prostate cancer & Cancer. The author has an hindex of 127, co-authored 671 publications receiving 64531 citations. Previous affiliations of Kenneth J. Pienta include Rutgers University & Harper University Hospital.
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Piflufolastat F 18-PET/CT in patients with prostate cancer: An analysis of OSPREY (cohorts A and B) standardized uptake value (SUV) results stratified by PSA and Gleason score.
Michael A. Gorin,Steven P. Rowe,Kenneth J. Pienta,Peter R. Carroll,Frédéric Pouliot,Stephan Probst,Lawrence Saperstein,Mark A. Preston,Ajjai Alva,Akash Patnaik,Nancy Stambler,Barry A. Siegel,Michael J. Morris +12 more
TL;DR: Piflufolastat F 18-PET/CT uptake was significantly higher in biopsy + lesions and increased with baseline PSA, and SUVpeak for biopsied bone and LN appeared to increase with rising baseline PSO.
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Baseline PSMA‐PET/CT as a predictor of PSA persistence following radical prostatectomy in high‐risk nonmetastatic prostate cancer patients receiving neoadjuvant therapy
Xinxin Du,Jiazhou Liu,Yun Su,Yinjie Zhu,Jiahua Pan,Baijun Dong,Ruohua Chen,Jianjun Li,Zhen Tong,Kenneth J. Pienta,Steven P. Rowe,Liang Dong,W. Xu +12 more
TL;DR: In this paper , the prognostic value of baseline prostate-specific membrane antigen-ligand positron emission tomography/computed tomography (PSMA•PET/CT) was evaluated in high-risk, nonmetastatic PCa patients who received neoadjuvant hormonal or chemohormonal treatment followed by radical prostatectomy (RP).
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Abstract B022: The polyaneuploid transition as a hedge against failures in resistance acquisition
TL;DR: This work utilizes the bacteria E. coli as a model system of the evolutionary conserved polyploid mechanism of resistance and hypothesizes that the PAT facilitates inherited universal therapeutic resistance, suggesting that antibiotic resistance might be dependent on the ability to endure repeated futile endeavors to explore the phenotypic landscape.
Elucidative ( CLETE ) Binary Classification Platform for 1 Tabular Data 2
Ahmad Nasimian,Saleena Younus,Emma U. Hammarlund,Kenneth J. Pienta,Lars Rönnstrand,Julhash U. Kazi +5 more
TL;DR: In this paper , the authors present an easily accessible platform dedicated to Clear, Legible, Explainable, Transparent, and Elucidative (CLETE) yet wholly modifiable binary classification models.
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Abstract 2205: KRTAP 2-3 is a novel potential biomarker of cells in the polyaneuploid cancer cell (PACC) state to predict cancer recurrence
TL;DR: Mendez et al. as discussed by the authors used RNA in situ-hybridization (RNAish) to identify cells in the polyaneuploid cancer cell (PACC) state, which is characterized by large cell size and polyploidization of the baseline aneuploid genome.