Results 41 to 50 of about 9,980,709 (276)

Peripheral zone PSA density: a predominant variable to improve prostate cancer detection efficiency in men with PSA higher than 4 ng ml-1

Asian Journal of Andrology, 2021
To improve the diagnostic efficiency of prostate cancer (PCa) and reduce unnecessary biopsies, we defined and analyzed the diagnostic efficiency of peripheral zone prostate-specific antigen (PSA) density (PZ-PSAD).
Cheng Wang, Yue-Yang Wang, Shi-Yuan Wang, Ji-Xiang Ding, Mao Ding, Yuan Ruan, Xiao-Hai Wang, Yi-Feng Jing, Bang-Min Han, Shu-Jie Xia, Chen-Yi Jiang, Fu-Jun Zhao   +11 more
doaj   +1 more source

Loss of IGF‐1R impairs DNA‐PKcs recruitment to chromatin leading to defective end‐joining

Molecular Oncology, EarlyView.
IGF‐1R promotes radioresistance by facilitating DNA‐PKcs recruitment to chromatin, enabling non‐homologous end‐joining (NHEJ) repair of double‐strand breaks. Inhibition or loss of IGF‐1R disrupts this recruitment to damage sites, driving compensatory reliance on microhomology‐mediated end‐joining (MMEJ) repair.
Matthew O. Ellis, Jack V. Mills, Wojciech Niedzwiedz, Valentine M. Macaulay   +3 more
wiley   +1 more source

Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335

Diagnostics, 2021
Prostate-specific antigen (PSA) has been criticized for its low specificity for prostate cancer, which has led to the increased adoption of additional biomarkers, PSA density (PSAD), and multiparametric magnetic resonance imaging (mpMRI) to increase the ...
Joshua S. Jue, David Mikhail, Javier González, Mahmoud Alameddine   +3 more
doaj   +1 more source

Flow Enabled Target Capture Halbach‐based magnetic enrichment increases circulating tumor cell capture from blood in metastatic cancer patients

Molecular Oncology, EarlyView.
Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens, Anouk Mentink, Tom Niessink, Frank Coumans, Leonie Mekenkamp, Ruchi Bansal, Jeroen Hiltermann   +6 more
wiley   +1 more source

Prostate-specific antigen density predicts favorable pathology and biochemical recurrence in patients with intermediate-risk prostate cancer

Asian Journal of Andrology, 2016
This study was designed to identify clinical predictors of favorable pathology and biochemical recurrence (BCR) in patients with intermediate-risk prostate cancer (IRPCa).
Ho Won Kang, Hae Do Jung, Joo Yong Lee, Jong Kyou Kwon, Seong Uk Jeh, Kang Su Cho, Won Sik Ham, Young Deuk Choi   +7 more
doaj   +1 more source

Targeting advanced prostate cancer with STEAP1 chimeric antigen receptor T cell and tumor-localized IL-12 immunotherapy

Nature Communications, 2023
Six transmembrane epithelial antigen of the prostate 1 (STEAP1) is a cell surface antigen for therapeutic targeting in prostate cancer. Here, we report broad expression of STEAP1 relative to prostate-specific membrane antigen (PSMA) in lethal metastatic ...
Vipul Bhatia, Nikhil V. Kamat, Tiffany E. Pariva, Li-Ting Wu, Annabelle Tsao, Koichi Sasaki, Huiyun Sun, Gerardo Javier, Sam Nutt, Ilsa Coleman, Lauren Hitchcock, Ailin Zhang, Dmytro Rudoy, Roman Gulati, Radhika A. Patel, Martine P. Roudier, Lawrence D. True, Shivani Srivastava, Colm M. Morrissey, Michael C. Haffner, Peter S. Nelson, Saul J. Priceman, Jun Ishihara, John K. Lee   +23 more
doaj   +1 more source

Modified Predictive Model and Nomogram by Incorporating Prebiopsy Biparametric Magnetic Resonance Imaging With Clinical Indicators for Prostate Biopsy Decision Making

Frontiers in Oncology, 2021
PurposeThe purpose of this study is to explore the value of combining bpMRI and clinical indicators in the diagnosis of clinically significant prostate cancer (csPCa), and developing a prediction model and Nomogram to guide clinical decision-making ...
Jin-feng Pan, Jin-feng Pan, Rui Su, Rui Su, Rui Su, Jian-zhou Cao, Jian-zhou Cao, Zhen-ya Zhao, Da-wei Ren, Sha-zhou Ye, Sha-zhou Ye, Rui-da Huang, Rui-da Huang, Zhu-lei Tao, Zhu-lei Tao, Cheng-ling Yu, Cheng-ling Yu, Jun-hui Jiang, Jun-hui Jiang, Qi Ma, Qi Ma, Qi Ma, Qi Ma   +22 more
doaj   +1 more source

Epigenetic heterogeneity and plasticity in therapy‐induced tumor states through single‐cell multi‐omics

Molecular Oncology, EarlyView.
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim, Hwiyeong Lee, Jin Hong, Daechan Park   +3 more
wiley   +1 more source

Machine learning methods can more efficiently predict prostate cancer compared with prostate-specific antigen density and prostate-specific antigen velocity

Prostate International, 2019
Background: Prostate-specific antigen (PSA)–based screening for prostate cancer has been widely performed, but its accuracy is unsatisfactory. To improve accuracy, building an effective statistical model using machine learning methods (MLMs) is a ...
Satoshi Nitta, Masakazu Tsutsumi, Shotaro Sakka, Tsuyoshi Endo, Kenichiro Hashimoto, Morikuni Hasegawa, Takayuki Hayashi, Koji Kawai, Hiroyuki Nishiyama   +8 more
doaj   +1 more source

The Specific Choice of Transrectal Ultrasound-Guided Prostate Biopsy Scheme Based on Prostate Specific Antigen and Prostate Specific Antigen Density [PDF]

Medical Science Monitor, 2019
BACKGROUND Although magnetic resonance imaging (MRI)-targeted biopsy and saturation biopsy can improve the accuracy of prostate biopsy, transrectal ultrasound (TRUS)-guided prostate biopsy is still the cornerstone for diagnosis of prostate cancer.
Chen, Yue, Jiang, Xingkang, Liu, Ranlu, Zhang, Zhihong, Luo, Fei, Qi, Shiyong, Xu, Yong   +6 more
openaire   +2 more sources