Results 191 to 200 of about 2,540,413 (305)

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

Academic partnerships with clinical nurse scientist mentors improve the Doctor of Nursing Practice student experience. [PDF]

J Am Assoc Nurse Pract
Gettis MA, Winter K, Calamaro CJ.
europepmc   +1 more source

Profiling neoadjuvant therapy response in rectal cancer using meta‐analysis of publicly available transcriptomic RNA‐seq datasets

Molecular Oncology, EarlyView.
This study integrates publicly available transcriptomic datasets to identify molecular signatures associated with response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. By analyzing a combination of multiple cohorts with bioinformatics approaches, we reveal biological pathways and immune‐related features that may improve ...
Aleksandra Stanojevic, Rafael Stroggilos, Mladen Marinkovic, Ana Djuric, Suzana Stojanovic‐Rundic, Radmila Jankovic, Sergi Castellvi‐Bel, Remond J.A. Fijneman, Antonia Vlahou, Jerome Zoidakis, Milena Cavic   +10 more
wiley   +1 more source

Beyond the Audit Cycle: Using Quality Improvement Data to Inform Dental Commissioning. [PDF]

Int J Paediatr Dent
Biggadike A, Shirlaw P, Johnson J.
europepmc   +1 more source

Predictive and prognostic biomarkers of Bacillus Calmette‐Guérin therapy failure in bladder cancer patients: A systematic review

Molecular Oncology, EarlyView.
High‐risk bladder cancer is typically treated with Bacillus Calmette‐Guérin (BCG), but 30–40% of patients relapse. No FDA‐ or CE‐approved biomarkers currently predict or prognosticate BCG failure. We systematically reviewed the literature and identified 72 eligible studies, revealing several promising biomarkers associated with BCG treatment response ...
Rui Ribeiro‐Pereira, Ana Teixeira‐Marques, Rui Freitas, João A Carvalho, Sara Monteiro‐Reis, Giorgio I. Russo, Rui Henrique, Carmen Jerónimo   +7 more
wiley   +1 more source

usiGrabber: automating the curation of proteomics spectra data at scale, making large datasets ready for use in machine learning systems. [PDF]

Bioinformatics
Auge G, Clausen M, Ketterer K, Schaefer J, Schmitt N, Altenburg T, Hartmaring Y, Raetz H, Schlaffner CN, Renard BY.   +9 more
europepmc   +1 more source

Regulation of the lncRNA NEAT1 by p53‐ΔNp63 crosstalk modulates the DNA damage response and therapeutic efficacy in HNSCC

Molecular Oncology, EarlyView.
In head and neck squamous cell carcinoma (HNSCC) p53 and p63 exert opposite roles on the transcription regulation of the lncRNA NEAT1. Under basal conditions, p53 levels are low and p63 represses NEAT1 expression. Upon genotoxic stress, p53 is rapidly induced, displacing p63 from the NEAT1 promoter leading to NEAT1 transcriptional activation and ...
Sara De Domenico, Veronica La Banca, Silvia D'Amico, Stefano Scalera, Sara Nicolai, Angelo Peschiaroli   +5 more
wiley   +1 more source

Valuing impact: Estimating return on investment of mental health and wellbeing projects for veterans and first responders. [PDF]

PLoS One
Mohanty I, Niyonsenga T, Salvador-Carulla L, Woods C, Lukersmith S.   +4 more
europepmc   +1 more source

Paclitaxel induces NM2‐dependent cellular contraction through GEF‐H1 dissociation from microtubules and RhoA/ROCK activation in cancer cells

Molecular Oncology, EarlyView.
Taxanes are widely used chemotherapeutics whose effects on cellular mechanics remain poorly understood. We show that paclitaxel induces rapid cellular contraction by promoting GEF‐H1 dissociation from microtubules and non‐muscle myosin II activation through RhoA/ROCK.
Gloria Asensio‐Juárez, Rafael Pérez‐Díaz, Hugo Ramos‐Solano, Marina Garrido‐Casado, Vanessa C. Talayero, Miguel Vicente‐Manzanares   +5 more
wiley   +1 more source

Deep Learning-Based Intelligent Resource Management for Renewable Energy Engineering Projects. [PDF]

Ann N Y Acad Sci
Yao Y.
europepmc   +1 more source