Results 41 to 50 of about 9,980,667 (237)

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

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Comparison of the Diagnostic Performance of Multiparametric Prostate Magnetic Resonance Imaging Results with Classical Parameters for Prostate Carcinoma in Gray Zone Patients

Journal of Urological Surgery
Objective: To compare the diagnostic value of prostate imaging-reporting and data system (mpMRI) version 2.0 with classical parameters for prostate cancer detection in gray zone patients with ultrasonography-guided prostate biopsy as a reference point ...
Coşkun Bostancı, Demirhan Örsan Demir
doaj   +1 more source

PANoptosis in the pathogenesis of myelodysplastic syndromes

Molecular Oncology, EarlyView.
PANoptosis, a combination of three types of programmed cell death, is mediated by a large protein complex called a PANoptosome. In healthy bone marrow hematopoietic cells, PANoptosis is restricted by inhibitory signaling. In MDS, bone marrow cells become sensitive to the PANoptotic stimuli due to the aberrant inactivation of inhibitory signaling or ...
Rohit Thalla, Jyoti Lamichhane, Cameron Lewis, Peter Breslin, Jiwang Zhang   +4 more
wiley   +1 more source

Unraveling the epigenetic code in cancer cell–tumor microenvironment crosstalk

Molecular Oncology, EarlyView.
Epigenetic regulation is a key driver of cancer development and progression. Diverse epigenetic alterations in cancer cells and components of the tumor microenvironment (TME) orchestrate their communication through multiple mechanisms. We discuss how the epigenetic code coordinates bidirectional cancer cell–TME crosstalk to promote cancer progression ...
Ji Hoon Park, Mi‐Young Kim
wiley   +1 more source