Article
Pathology
Chantal Atallah, Ants Toi, Theodorus H. van der Kwast
Summary: Several modifications have been made to the Gleason grading system, including the definition and reporting of GP5, with the addition of sub-patterns over time. The presence of GP5 indicates an unfavorable prognosis, but there is a lack of data on the prognostic impact of individual GP5 sub-patterns.
Article
Oncology
Bumjin Lim, Wonchul Lee, Yoon Soo Kyung, Dalsan You, In Gab Jeong, Jun Hyuk Hong, Hanjong Ahn, Choung-Soo Kim
Summary: A Gleason grade of 5 and bone metastasis lesion count >= 4 were found to be significantly associated with CRPC-free survival and overall survival in patients with metastatic hormone-sensitive prostate cancer (mHSPC). Gleason grade 5 is a new prognostic indicator for mHSPC.
JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Gloria Bertoli, Antonella Panio, Claudia Cava, Francesca Gallivanone, Martina Alini, Giulia Strano, Federico Molfino, Loredana Brioschi, Paola Viani, Danilo Porro
Summary: Prostate cancer is a common male neoplasm and is the second leading cause of cancer death in American men. Traditional diagnosis of prostate cancer relies on prostate secreted antigen (PSA) evaluation, but false positives are common, making additional tests necessary. This study explores the role of miR-153 in controlling cell growth and invasion in high Gleason Score prostate cancer, and suggests that miR-153 could serve as a circulating biomarker for diagnosis.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Oncology
Marian Cruz-Burgos, Sergio A. Cortes-Ramirez, Alberto Losada-Garcia, Miguel Morales-Pacheco, Eduardo Martinez-Martinez, Jorge Gustavo Morales-Montor, Alejandro Servin-Haddad, J. Samuel Izquierdo-Luna, Griselda Rodriguez-Martinez, Maria del Pilar Ramos-Godinez, Vanessa Gonzalez-Covarrubias, Abraham Canavera-Constantino, Imelda Gonzalez-Ramirez, Boyang Su, Hon S. Leong, Mauricio Rodriguez-Dorantes
Summary: Metastasis is the main cause of death in prostate cancer patients. This study investigates the potential diagnostic value of extracellular vesicle-derived microRNAs in liquid biopsies for prostate cancer. Through microarray analysis, differential expression of microRNAs was observed in metastatic lymph nodes compared to prostate tumors and non-metastatic lymph node tissues. Specifically, miR-150-5p shows promise as a diagnostic marker for high-grade Gleason scores and early detection of metastasis.
Article
Oncology
Keiichiro Mori, Vidit Sharma, Eva M. Comperat, Shun Sato, Ekaterina Laukhtina, Victor M. Schuettfort, Benjamin Pradere, Reza Sari Motlagh, Hadi Mostafaei, Fahad Quhal, Mehdi Kardoust Parizi, Mohammad Abufaraj, Pierre I. Karakiewicz, Shin Egawa, Derya Tilki, Stephen A. Boorjian, Shahrokh F. Shariat
Summary: This study evaluated the prognostic differences among various Gleason scores in patients with Grade group 4 prostate cancer. Different Gleason scores within Grade group 4 were significantly associated with biochemical recurrence, but not with prostate cancer-specific or all-cause mortality. Patients with Gleason score 5 + 3 had a higher risk of Gleason score upgrading.
ANNALS OF SURGICAL ONCOLOGY
(2021)
Article
Oncology
Aradhana M. Venkatesan, Eniola Mudairu-Dawodu, Cihan Duran, R. Jason Stafford, Yuanqing Yan, Wei Wei, Vikas Kundra
Summary: The study found that the utility of mpMRI in detecting suspected local recurrence post RP is associated with PSA and Gleason grade. In patients with lower Gleason grade and low PSA, mpMRI results are likely to be negative; while in patients with higher Gleason grade and high PSA, mpMRI results are likely to be positive. This can help guide further diagnostic and treatment decisions in patients with suspected recurrence.
Article
Multidisciplinary Sciences
Mpho Mokoatle, Darlington Mapiye, Vukosi Marivate, Vanessa M. Hayes, Riana Bornman
Summary: The current research on predicting Gleason grade groups using DNA sequences as the sole input source still faces challenges, but in the new problem of predicting tumor DNA sequences from matched-normal DNA sequences, machine learning models showed improved performance.
Article
Pathology
Yalei Chen, Ian M. Loveless, Tiffany Nakai, Rehnuma Newaz, Firas F. Abdollah, Craig G. Rogers, Oudai Hassan, Dhananjay Chitale, Kanika Arora, Sean R. Williamson, Nilesh S. Gupta, Benjamin A. Rybicki, Sudha M. Sadasivan, Albert M. Levin
Summary: The use of artificial intelligence in assessing the percentage of Gleason pattern 4 (%GP4) improves the accuracy and reproducibility of prostate cancer grade group (GG) 2 and 3 tumor classification. This study trained a convolutional neural network (CNN) model to identify and quantify GP3 and GP4 areas and estimate %GP4. The CNN-predicted %GP4 was found to be significantly associated with biochemical recurrence (BCR) risk in intermediate-risk GG 2 and 3 tumors.
Article
Medical Laboratory Technology
Uttara Saran, Balaji Chandrasekaran, Venkatesh Kolluru, Ashish Tyagi, Kristy D. Nguyen, Crystal L. Valadon, Saad P. Shaheen, Maiying Kong, Triparna Poddar, Murali K. Ankem, Chendil Damodaran
Summary: The study found that ROCK1 and miR-301a were significantly higher in Gleason 6 and 7 CaP compared to BPH, while an inverse trend was observed with RUNX3. The combination of all three molecular markers significantly improved the diagnostic accuracy of clinical nomograms and correlated with disease progression.
TRANSLATIONAL RESEARCH
(2021)
Article
Genetics & Heredity
Ying Huang, Fan Yang, Wenyi Zhang, Yupeng Zhou, Dengyi Duan, Shuang Liu, Jianmin Li, Yang Zhao
Summary: In this study, a novel prediction model for prostate cancer prognosis was developed by identifying lysosome-related genes and the Gleason score. The model showed high accuracy in predicting prostate cancer progression.
FRONTIERS IN GENETICS
(2023)
Article
Cell Biology
Zhengtong Lv, Jianlong Wang, Xuan Wang, Miao Mo, Guyu Tang, Haozhe Xu, Jianye Wang, Yuan Li, Ming Liu
Summary: A risk model containing nine ferroptosis-related genes was constructed in this study, demonstrating strong prognostic and therapeutic predictive power in prostate cancer. The higher risk score calculated by the model was significantly associated with adverse clinicopathological characteristics, immune infiltration, probability of biochemical recurrence, and treatment response in PCa. The findings provide new insights and potential clinical applications of ferroptosis in PCa.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Public, Environmental & Occupational Health
Renata Zelic, Francesca Giunchi, Jonna Fridfeldt, Jessica Carlsson, Sabina Davidsson, Luca Lianas, Cecilia Mascia, Daniela Zugna, Luca Molinaro, Per Henrik Vincent, Gianluigi Zanetti, Ove Andren, Lorenzo Richiardi, Olof Akre, Michelangelo Fiorentino, Andreas Pettersson
Summary: The International Society of Urological Pathology (ISUP) revised the Gleason system in 2005 and 2014, resulting in improved prediction of prostate cancer death. The inclusion of cribriform patterns as Gleason 4, as well as the presence of comedonecrosis, HGPIN, and higher percentage of cores with cancer, further enhance the discrimination of prostate cancer death.
CLINICAL EPIDEMIOLOGY
(2022)
Review
Orthopedics
Y. Henrotin
Summary: Recent studies have focused on the application of protein-derived soluble biomarkers in osteoarthritis, with research areas including disease burden, investigative biomarkers, prognosis, treatment efficacy, and the diagnostic and phenotyping value of these biomarkers. These studies contribute to a more targeted management of patients suffering from osteoarthritis.
OSTEOARTHRITIS AND CARTILAGE
(2022)
Article
Oncology
Xiaofeng Qiao, Xiling Gu, Yunfan Liu, Xin Shu, Guangyong Ai, Shuang Qian, Li Liu, Xiaojing He, Jingjing Zhang
Summary: This study investigated the value of machine learning models based on MR radiomics features in predicting the Ki67 index and Gleason grade group of prostate cancer (PCa). The results showed that these models can effectively predict the aggressiveness of PCa and may provide a noninvasive, repeatable, and accurate diagnostic method for clinical decision-making.
Article
Radiology, Nuclear Medicine & Medical Imaging
Yang Qiu, Yun-Fan Liu, Xin Shu, Xiao-Feng Qiao, Guang-Yong Ai, Xiao-Jing He
Summary: This study developed and evaluated a machine learning model based on peritumoral radiomic features to differentiate low-Gleason grade group (L-GGG) and high-GGG (H-GGG) prostate lesions. The model showed superior performance compared to the original tumor and centra-tumoral classification models.
ACADEMIC RADIOLOGY
(2023)
Article
Oncology
Angelika Toelle, Klaus Jung, Frank Friedersdorff, Andreas Maxeiner, Michael Lein, Annika Fendler, Carsten Stephan
Summary: The combination of miR-222-3p with PHI can improve the diagnostic accuracy of prostate cancer, demonstrating potential clinical applications.
Article
Urology & Nephrology
Carsten Stephan, Klaus Jung, Michael Lein, Hannah Rochow, Frank Friedersdorff, Andreas Maxeiner
Summary: The Prostate Health Index density (PHID) showed a significant advantage over PHI in detecting any prostate cancer, but performed equally in detecting significant prostate cancer.
WORLD JOURNAL OF UROLOGY
(2021)
Article
Hematology
Andreas Maxeiner, Thomas Fischer, Carsten Stephan, Selda Treskatsch, Alexander Daniel Jacques Baur, Ernst-Michael Jung, Bernd Hamm, Markus Herbert Lerchbaumer
Summary: This study demonstrates that TDI parameters guided by MRI and ultrasound fusion can differentiate between cancerous and noncancerous lesions in prostate, aiding in determining the aggressiveness of prostate cancer.
CLINICAL HEMORHEOLOGY AND MICROCIRCULATION
(2021)
Article
Urology & Nephrology
Robert Peters, Carsten Stephan, Klaus Jung, Michael Lein, Frank Friedersdorff, Andreas Maxeiner
Summary: The study found that in a large Caucasian group, the Prostate Health Index (PHI) density (PHID) did not show a significant advantage over PHI alone, indicating that the increase in diagnostic accuracy is too small to justify its routine clinical use.
UROLOGIA INTERNATIONALIS
(2021)
Article
Oncology
Laura Kristin Esser, Vittorio Branchi, Farhad Shakeri, Adrian Georg Simon, Carsten Stephan, Glen Kristiansen, Andreas Buness, Hubert Schorle, Marieta Ioana Toma
Summary: This study investigated the effects of PARK2 overexpression in ccRCC cell lines and found that it can suppress tumor invasion and migration by regulating the expression of CKS2. It also revealed that high CKS2 levels are associated with high tumor grading and lower patient survival, suggesting CKS2 as a potential biomarker and therapeutic target for ccRCC.
INTERNATIONAL JOURNAL OF ONCOLOGY
(2022)
Article
Oncology
Christine Sanders, Almotasem Salah M. Hamad, Susanna Ng, Racha Hosni, Jorg Ellinger, Niklas Kluemper, Manuel Ritter, Carsten Stephan, Klaus Jung, Michael Holzel, Glen Kristiansen, Stefan Hauser, Marieta Toma
Summary: Clear cell renal cell carcinoma (ccRCC) is a highly immunogenic tumor with variable responses to immune checkpoint therapy. Analysis of immune cell infiltrate in primary tumors and distant metastases revealed correlations with metastasis, tumor differentiation, and overall survival in ccRCC. High levels of CD103+ cells and ITGAE/CD103 expression were associated with poor prognosis.
Article
Oncology
Carsten Stephan, Bernhard Ralla, Florian Bonn, Max Diesner, Michael Lein, Klaus Jung
Summary: Recent research on prostate cancer and vitamin D is controversial. This study investigated changes in three vitamin D-3 metabolites in prostate cancer patients over four years. While two metabolites showed higher values after the study's start, the concentration of 1,25(OH)(2)D-3 remained unchanged. Interestingly, this metabolite was higher in patients with bone metastasis. The potential prognostic value of this finding should be further explored.
Article
Computer Science, Software Engineering
K. U. Barthel, N. Hezel, K. Jung, K. Schall
Summary: Images sorted by similarity can be useful for stock photo agencies or e-commerce applications. We propose a new metric called distance preservation quality (DPQ) to evaluate the quality of image arrangement. Extensive user testing shows that DPQ has a strong correlation with user-perceived quality and performance in image retrieval tasks. We also introduce a new algorithm called Fast linear assignment sorting (FLAS) for creating visually sorted grid layouts, which achieves good sorting qualities while improving run time and computational resources.
COMPUTER GRAPHICS FORUM
(2023)
Letter
Medical Laboratory Technology
Carsten Stephan, Robert Peters, Klaus S. Jung, Andreas Maxeiner
JOURNAL OF CLINICAL LABORATORY ANALYSIS
(2023)