Results 161 to 170 of about 1,969,863 (367)

Bayesian data assimilation to support informed decision-making in individualised chemotherapy [PDF]

open access: yesarXiv, 2019
An essential component of therapeutic drug/biomarker monitoring (TDM) is to combine patient data with prior knowledge for model-based predictions of therapy outcomes. Current Bayesian forecasting tools typically rely only on the most probable model parameters (maximum a-posteriori (MAP) estimate).
arxiv  

Dermatomyositis as paraneoplastic syndrome of peritoneal and ovarian relapse after long-term complete remission in patient with metastatic bilateral breast cancer [Dermatomiozitis kao paraneoplastički sindrom peritonealnog i ovarijalnog relapsa nakon dugog perioda potpune remisije u bolesnice s metastatskim bilateralnim rakom dojke] [PDF]

open access: yes, 2012
Dermatomyositis is a rare disease characterised by inflammatory muscle affection and characteristic cutaneous changes. When occuring in a patient with cancer, dermatomyositis may indicate recurrence or progression and poor outcome.
Bolanča, Ante   +5 more
core  

The atypical KRASQ22K mutation directs TGF‐β response towards partial epithelial‐to‐mesenchymal transition in patient‐derived colorectal cancer tumoroids

open access: yesMolecular Oncology, EarlyView.
TGF‐β has a complex role in cancer, exhibiting both tumor‐suppressive and tumor‐promoting properties. Using a series of differentiated tumoroids, derived from different stages and mutational background of colorectal cancer patients, we replicate this duality of TGF‐β in vitro. Notably, the atypical but highly aggressive KRASQ22K mutation rendered early‐
Theresia Mair   +17 more
wiley   +1 more source

STUDIES ON THE CHEMOTHERAPY OF THE HUMAN MALARIAS. VI. THE PHYSIOLOGICAL DISPOSITION, ANTIMALARIAL ACTIVITY, AND TOXICITY OF SEVERAL DERIVATIVES OF 4-AMINOQUINOLINE 12 [PDF]

open access: bronze, 1948
Robert W. Berliner   +8 more
openalex   +1 more source

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

The development of drug resistance in metastatic tumours under chemotherapy: an evolutionary perspective [PDF]

open access: yesarXiv
We present a mathematical model of the evolutionary dynamics of a metastatic tumour under chemotherapy, comprising non-local partial differential equations for the phenotype-structured cell populations in the primary tumour and its metastasis. These equations are coupled with a physiologically-based pharmacokinetic model of drug delivery, implementing ...
arxiv  

ShcD adaptor protein drives invasion of triple negative breast cancer cells by aberrant activation of EGFR signaling

open access: yesMolecular Oncology, EarlyView.
We identified adaptor protein ShcD as upregulated in triple‐negative breast cancer and found its expression to be correlated with reduced patient survival and increased invasion in cell models. Using a proteomic screen, we identified novel ShcD binding partners involved in EGFR signaling pathways.
Hayley R. Lau   +11 more
wiley   +1 more source

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