Results 231 to 240 of about 1,981,824 (263)

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

Molecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice, Jose I. Lopez, Aitziber Ugalde‐Olano, Maite Zufiaurre, Ianire Astobiza, Natalia Martin‐Martin, Laura Bozal‐Basterra, Saioa Garcia‐Longarte, Amaia Zabala‐Letona, Sofia Rey, Aida Santos‐Martin, Miguel Unda, Ana Loizaga‐Iriarte, Mariona Graupera, Paolo Nuciforo, Arkaitz Carracedo, Isabel Mendizabal   +16 more
wiley   +1 more source

Next‐generation proteomics improves lung cancer risk prediction

Molecular Oncology, EarlyView.
This is one of very few studies that used prediagnostic blood samples from participants of two large population‐based cohorts. We identified, evaluated, and validated an innovative protein marker model that outperformed an established risk prediction model and criteria employed by low‐dose computed tomography in lung cancer screening trials.
Megha Bhardwaj, Clara Frick, Ben Schöttker, Bernd Holleczek, Hermann Brenner   +4 more
wiley   +1 more source

Profiling Patients with Chronic Ulcers Using K-Means Clustering and Analysis of the Impact on the Consumption of Medical Resources: Retrospective Study on Hospitalized Patients in Romania. [PDF]

J Clin Med
Taroi Yassin Cataniciu M, Gligorea I, Fleacă R, Vecerzan Novac L, Prihoi A, Domnariu CD.   +5 more
europepmc   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

Molecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak, Karolina Pytlak, Sandra Jaworowska, Bogusz Kulawiak, Piotr Bednarczyk   +4 more
wiley   +1 more source

Unveiling Health Security Patterns in the European Union through a Hybrid Entropy-CoCoSo and K-Means Clustering Framework. [PDF]

F1000Res
Nasser AA, Al-Samawi YA, Alghawli ASA, Essayed AAK.   +3 more
europepmc   +1 more source

Effective therapeutic targeting of CTNNB1‐mutant hepatoblastoma with WNTinib

Molecular Oncology, EarlyView.
WNTinib, a Wnt/CTNNB1 inhibitor, was tested in hepatoblastoma (HB) experimental models. It delayed tumor growth and improved survival in CTNNB1‐mutant in vivo models. In organoids, WNTinib outperformed cisplatin and showed enhanced efficacy in combination therapy, supporting its potential as a targeted treatment for CTNNB1‐mutated HB.
Ugne Balaseviciute, Júlia Huguet‐Pradell, Jordi Abril‐Fornaguera, Albert Gris‐Oliver, Alex Rialdi, Elisa Fernández‐Martínez, Carla Montironi, Vanessa Del Pozo, Peter Houghton, Laura Zanatto, Agavni Mesropian, Ieva Keraite, Swan Thung, Carolina Armengol, Pau Sancho‐Bru, Ernesto Guccione, Roser Pinyol, Josep M. Llovet   +17 more
wiley   +1 more source

Study of intelligent home environment system based on big data and improved k-means algorithm. [PDF]

Sci Rep
Yu S, Liu C, Li M.
europepmc   +1 more source

Integration of Gaussian process regression and K means clustering for enhanced short term rainfall runoff modeling. [PDF]

Sci Rep
Kisi O, Heddam S, Parmar KS, Petroselli A, Külls C, Zounemat-Kermani M.   +5 more
europepmc   +1 more source

Secure cloud computing: leveraging GNN and leader K-means for intrusion detection optimization. [PDF]

Sci Rep
Dugyala R, Chithaluru P, Ramchander M, Kumar S, Yadav A, Yadav NS, Elminaam DSA, Alsekait DM.   +7 more
europepmc   +1 more source

Using the K-Means Node Clustering Method and ROC Curve Analysis to Define Cut-Off Scores for the Caregiving System Scale. [PDF]

Int J Psychol
Colledani D, Mikulincer M, Shaver PR, Meneghini AM.   +3 more
europepmc   +1 more source