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Drug response

Predicting drug response of tumors from integrated genomic profiles by deep neural networks

Predicting drug response of tumors from integrated genomic profiles by deep neural networks

... This study addresses the need for a translation of pharmacogenomics features identified from pre-clinical cell line models to predict drug response of tumors. We developed a DNN model capable of extracting ...

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Association of PDE11A global haplotype with major depression and antidepressant drug response

Association of PDE11A global haplotype with major depression and antidepressant drug response

... The haplotypes were estimated with PHASE in the whole group of participants, and then compared their distribution between groups. The phase reconstruction method regards the unknown haplotypes as unobserved random ...

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Unearthing new genomic markers of drug response by improved measurement of discriminative power

Unearthing new genomic markers of drug response by improved measurement of discriminative power

... and/or response to therapy ...of drug-gene associations to be used as predictive biomarkers of in vitro drug response is carried out on human cancer tumour-derived cell lines ...18], ...

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Drug response to PD-1/PD-L1 blockade: based on biomarkers

Drug response to PD-1/PD-L1 blockade: based on biomarkers

... of response to anti-PD-1/PD-L1 drug negligible of tumor ...in drug response prediction, MSI is still not sufficient for drug response prediction due to its various frequencies in ...

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Encircling the regions of the pharmacogenomic landscape that determine drug response

Encircling the regions of the pharmacogenomic landscape that determine drug response

... and drug sensi- tivity data are necessary for drug-gene correlations to be captured, thus requiring, in practice, considerably large panels of CCLs, which limits the throughput of the tech- nique to a few ...

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Liver microsystems in vitro for drug response

Liver microsystems in vitro for drug response

... reliable drug response with cells of minimum number, which relieves the demand for animal testing and decreases the duration before human clinical trials ...

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Defining subpopulations of differential drug response to reveal novel target populations

Defining subpopulations of differential drug response to reveal novel target populations

... high-throughput drug screens, which enables the discovery of drug response ...reproduced drug sensitivity association with BRAF mutation in melanoma, or afatinib sensitivity with ERBB2 ...

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Integrating rare genetic variants into pharmacogenetic drug response predictions

Integrating rare genetic variants into pharmacogenetic drug response predictions

... regarding drug efficacy and its propensity to cause ADRs and thereby to contribute to the implementation of pharmacogenetic markers into routine care [48, ...gene-drug response predictions and to ...

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Evolutionary Diagnosis of non-synonymous variants involved in differential drug response

Evolutionary Diagnosis of non-synonymous variants involved in differential drug response

... variants. Drug-EvoD was the first attempt on exploring ways to identify drug- associated variants with available ...on drug response, this kind of computational tools have the potential to ...

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The role of microenvironment and immunity in drug response in leukemia

The role of microenvironment and immunity in drug response in leukemia

... The tumor microenvironment and primary cancer cells exchange signals in a two-way process that can lead to evasion of immune re- sponse, change in TME function, uncontrolled proliferation of cancer cells, metastasis to ...

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PHARMACOGENETICS: GENETICALLY DETERMINED VARIATIONS IN DRUG RESPONSE

PHARMACOGENETICS: GENETICALLY DETERMINED VARIATIONS IN DRUG RESPONSE

... Instead of the standard trial-and-error method of matching patients with the right drugs, doctors will be able to analyze a patient's genetic profile and prescribe the best available drug therapy from the ...

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A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies

A systematic analysis of genomics-based modeling approaches for prediction of drug response to cytotoxic chemotherapies

... predictive drug response models for 608 cell lines and 111 drugs in the GDSC using genomic and chemical properties of drugs reporting an overall Pearson correlation of ...individual drug correlations ...

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Resistance to cancer chemotherapy: failure in drug response from ADME to P-gp

Resistance to cancer chemotherapy: failure in drug response from ADME to P-gp

... (multi) drug resistance is becom- ing a central issue and a significant challenge for medicine ...Although drug resistance is often studied at the sin- gle cell level, it is important to realize that the ...

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Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response

Mechanistic interpretation of non-coding variants for discovering transcriptional regulators of drug response

... cytotoxic response (EC50) to each of 24 different treatments, mostly cancer drugs ...specific drug) across the panel of LCLs, and used Hi-C data [21] from the GM12878 cell line in step (b) of the above ...

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Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response

Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response

... BP response, only with the weighted average of all four methods was power maintained at 80% without an increase in sample size exceeding the N = 400 randomized to each single- drug therapy in the PEAR ...

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Exploring the role of epigenetic alterations in myeloid malignancies with focus on drug response

Exploring the role of epigenetic alterations in myeloid malignancies with focus on drug response

... KIT transcription start site, and a gene upstream (PDGFRα) and downstream (KDR) of KIT by ChIP-qPCR. The first observation was a general increase of the acetylated histone marks, as anticipated upon SAHA treatment. ...

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A Review of Modeling Approaches to Predict Drug Response in Clinical Oncology

A Review of Modeling Approaches to Predict Drug Response in Clinical Oncology

... Analytical models present some advantages from an imple- mentation point of view. Due to mathematical simplicity, they are easy to implement in classical software programs, and allow for very quick computations. However, ...

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Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

Deep sequencing reveals microRNAs predictive of antiangiogenic drug response

... the response of ccRCC to antiangiogenic ...poor response to sunitinib (18), and the analysis of 6 extreme responders suggested a potential role for several miRNAs ...

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Modelling tumor growth with immune response and drug using ordinary differential equations

Modelling tumor growth with immune response and drug using ordinary differential equations

... The drug effect is added into the tumor system with immune ...and drug with positive immune ...immune response. This means that if a certain amount of drug is given to the patient, this system ...

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Impact of the Mass Drug Administration for malaria in response to the Ebola outbreak in Sierra Leone

Impact of the Mass Drug Administration for malaria in response to the Ebola outbreak in Sierra Leone

... anti-malarial drug with moderate half-life unless there is a simultaneous reduction in the vectorial capac- ...gametocytocidal drug (primaquine) was used in the campaign, no impact on long-term reduction of ...

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