This framework will expand to shed light on the variability
of drug response based on information the medical community continues to gather about how an individual responds to a particular drug and dose combination.
Looking forward, the researchers are applying their approach to study cellular
drug responses in clinical samples, but also aim to make their methods widely accessible.
Researchers have identified genetic mutations that may be linked to this phenomenon and will evaluate their impact
on drug response.
The emphasis is on helping students visualize the various processes
determining drug response and how these relate to variability between individuals and between population groups.
His current research and teaching focuses on understanding the molecular basis of
individualized drug responses, an area essential for the development of personalized medicine treatments.
Genetic studies
of drug response are often based only on memory of the response rather than systematically recorded data.
Many clinical trials do not routinely collect DNA from volunteers, making it sometimes difficult for scientists to correlate disease or
drug response with genes.
This framework will be built upon available open - source deep learning platforms that can be adapted to address different aspects of the cancer process as represented by JDACS4C's challenge topics: 1) understand the molecular basis of key protein interactions; 2) develop predictive models
for drug response; and 3) automate the extraction and analysis of information from millions of cancer patient records to determine optimal cancer treatment strategies.
With CiPA, human iPSC - cardiomyocytes are employed to assess drug effects on the cardiac action potential to confirm the outcome of in silico modeling efforts, relying on hiPSC - cardiomyocytes to provide the integrated
drug response from multiple native human currents in a human - derived cellular preparation.
See full infographic: JPGINFOGRAPHIC BY JUDE BUFFUMFueled in part by interest generated by Champions, more and more scientists now use PDX mice to study the potential
cancer drug responses of individual patients.
University of North Carolina - Chapel Hill Development of an in vitro platform for the evaluation of genetic susceptibility factors associated with adverse drug response
In the new study, the lab has conducted the first large - scale whole genome sequencing study of
asthma drug response in African Americans and Latino children in an effort to pin down the genetic factors contributing to reduced albuterol response more precisely than possible in previous association studies.
«If we know how genes
control drug response, we can create a statistical model that shows us what will happen before using the drug,» said Wu, who is also a member of Penn State's Huck Institutes of the Life Sciences.
«Traditional medicine doesn't consider
mechanistic drug response,» said Rongling Wu, director of the Center for Statistical Genetics and professor of public health sciences within the division of biostatistics and bioinformatics at the Penn State College of Medicine.
This type of testing could help doctors predict
drug responses based on measurements of cancer cell growth rates after drug exposure, says Scott Manalis, the Andrew and Erna Viterbi Professor in the MIT departments of Biological Engineering and Mechanical Engineering and a member of MIT's Koch Institute for Integrative Cancer Research.
Among other problems, Potti altered data sets to
make drug response predictors look more accurate.
GenProfile focuses on the systematic analysis of DNA sequence variation in biomedically relevant genes in order to identify those variants, or combinations of variants (gene profiles), that determine an individual's genetic risk for disease, predict individually
different drug response, and ultimately pave the way to a personalized medicine.
As an investigator in TGen's Pharmaceutical Genomics Division, Dr. Azorsa applied siRNA screening to identify novel therapeutic targets in cancer as well as functionally relevant gene targets that
modulate drug response.
This permits new insights into organisms and creates the potential for a wide range of applications — from more exact delineation of tumor and metastasis through to
tracking drug responses within whole - body imaging.
«No one has really shown that [using PDX mice to
evaluate drug responses] actually changes and improves outcome,» says Judy Boughey, an oncologist and researcher at the Mayo Clinic in Minnesota, who is using PDX mice in a breast cancer study.
The researchers are now linking the genetic information with the
human drug responses and exploring drug options in the chemotherapy - resistant PDX mice.
We also seek similar scaling up of the in vitro experiments, sampling deeper into the landscape of cancer genes, gene - gene interactions and
combination drug responses.
The team has garnered a two - year, $ 1 million Movember Foundation - PCF Challenge Award from the Prostate Cancer Foundation to examine how mutations in a molecular pathway critical to prostate cancer development
affect drug response and could point the way to more tailored treatment.
All DruGeVar database records involve correlations between 91 drugs, 13 genomic loci and 98 genomic variants which has previously implicated in
variable drug responses both in terms of efficacy and toxicity.
«Population differences in gene expression have only recently begun to be investigated,» said Dolan, «We believe they play a significant role in susceptibility to disease and in
regulating drug response.
It meets a particularly pressing need in oncology, where, as Ratain and O'Donnell wrote in Molecular Oncology this past January, the window between therapeutic and toxic for drugs «is often narrow, the need for
favorable drug response is often acute and the consequences of drug toxicity can be life - threatening.»
Biomarker an indicator of a biologic state, disease process or
drug response often used in drug development.
This article outlines how organoids can be used to model various human pathologies «in a dish» and how patient - derived organoids may be able to
predict drug response in a personalized manner.
These CMs form myofibril - aligned, multi-layered and 3D - organized Cardiac Tissue - Like Constructs (CTLCs), which show
robust drug response and may be readily used for repair of injured rat hearts with myocardial infarctions.
«The drug - microbe interactions in this study provide clear - cut candidate mediators of
individualized drug responses to be studied in the future.»
Development of an in vitro platform for the evaluation of genetic susceptibility factors associated with adverse drug response
As well as patent pending the SkimuneTM test, the Newcastle University team have set up a company Alcyomics Limited which aims to take the technology forward to offer personalised medicine, enabling an individual to be tested
for drug responses.
Because these variants occur less frequently, they have the potential to have a stronger influence
on drug response.»
With good foresight and strategic planning, it could develop into a premier regional center for the study
of drug response in Asians — a timely development toward better therapeutics for at least a third of the world's population.
Human Tumor «Avatars» Reveal New Genetic Sources of
Drug Response in Late - Stage Colorectal Cancer Therapy
Throw in the complexities and heterogeneities of an evolving disease of genetic mutation, such as cancer, and
the drug response from one person to the next can be even more variable.)
In particular, the team looked at pharmacokinetics, which influences the concentration of a drug reaching its target, and pharmacodynamics, which determines
the drug response.
Wu focused on the big picture by studying
drug response and drug reaction.
[Liewei Wang, Howard McLeod and Richard Weinshilboum, «Genomics and
Drug Response»]
Scientists could build chips containing cells from patients with specific genetic mutations, which could predict
drug responses in specific populations, as well as personalized chips that predict an individual's drug response.
Severely depressed or schizophrenic patients could benefit enormously from tests that reveal which drug and dose will help them the most, but unlike asthma,
drug response can be difficult to quantify biologically, making gene - drug relations tougher to pin down.