Results 81 to 90 of about 12,904,370 (340)

A large‐scale retrospective study in metastatic breast cancer patients using circulating tumour DNA and machine learning to predict treatment outcome and progression‐free survival

open access: yesMolecular Oncology, EarlyView.
There is an unmet need in metastatic breast cancer patients to monitor therapy response in real time. In this study, we show how a noninvasive and affordable strategy based on sequencing of plasma samples with longitudinal tracking of tumour fraction paired with a statistical model provides valuable information on treatment response in advance of the ...
Emma J. Beddowes   +20 more
wiley   +1 more source

Multidimensional OMICs reveal ARID1A orchestrated control of DNA damage, splicing, and cell cycle in normal‐like and malignant urothelial cells

open access: yesMolecular Oncology, EarlyView.
Loss of the frequently mutated chromatin remodeler ARID1A, a subunit of the SWI/SNF cBAF complex, results in less open chromatin, alternative splicing, and the failure to stop cells from progressing through the cell cycle after DNA damage in bladder (cancer) cells. Created in BioRender. Epigenetic regulators, such as the SWI/SNF complex, with important
Rebecca M. Schlösser   +11 more
wiley   +1 more source

Medical education and healthcare needs [PDF]

open access: yes, 2006
Educators in the sphere of medicine face a number of complex challenges in the provision of a learning environment suited to ensuring students acquire essential core competencies as well as additional skills and expertise targeted to their area of ...
Vassallo, Josanne
core  

Medical education during pandemics: a UK perspective

open access: yesBMC Medicine, 2020
Introduction As the coronavirus (COVID-19) pandemic becomes widespread, its impact on society is becoming more pervasive and is now threatening medical education.
A. Mian, Shujhat Khan
semanticscholar   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

Medical education and the 21st century [PDF]

open access: yes, 1994
Medical education at both the undergraduate and postgraduate levels has been undergoing continuous changes in the last 40 years. The author why future Maltese doctors should continue with their medical education and have the opportunity to specialize in ...
Fenech, Frederick F.
core  

Expression and DNA methylation of 20S proteasome subunits as prognostic and resistance markers in cancer

open access: yesMolecular Oncology, EarlyView.
Comprehensive analysis of genomic mutations, gene expression, DNA methylation, and pathway analysis of TCGA data was carried out to define cancer types in which proteasome subunits expression is associated with worse survival. Albeit the effect of specific proteasome subunits on cellular function, the main role of the proteasome is better evaluated ...
Ruba Al‐Abdulla   +5 more
wiley   +1 more source

Educating for Indigenous health equity: An international consensus statement [PDF]

open access: yes, 2018
The determinants of health inequities between Indigenous and non-Indigenous populations include factors amenable to medical education’s influence, for example, the competence of the medical workforce to provide effective and equitable care to Indigenous ...
Calam, Betty   +15 more
core   +1 more source

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

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