Results 31 to 40 of about 95,272 (257)

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

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

Mechanisms and therapeutic opportunities of the ribotoxic stress response in cancer

Molecular Oncology, EarlyView.
Cancer cells' high translational demand creates opportunities to therapeutically target ribosome function. Ribosome stalling and collisions activate ZAKα and the ribotoxic stress response (RSR), which can trigger rapid, p53‐independent apoptosis in cancer.
Anastassiya Kim, Maryam Aslam, Elouise Torruella, Alphons Sony, Asif Rahman, Simira Smith, Columba de la Parra, Moira Sauane   +7 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

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

Evaluation of Cutoff Point Prostate Specific Antigen (PSA) and Prostate Specific Antigen Density (PSAD) in Patients with Suspected Prostate Cancer. [PDF]

Med Arch
Background: Prostate cancer is the second leading cause of cancer death in men worldwide. There is no national standard for PSA cut-off levels even through the transrectal prostate biopsy procedure causes many serious complications such as bleeding, infection, and sepsis.
Daryanto B, Trianto R, Seputra KP, Purnomo AF.   +3 more
europepmc   +3 more sources

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

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 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

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