Clinical OMICs - Volume 3, Issue 9 - 26
ities for recruiting and monitoring patients with a focus on
patient engagement.
A key aspect of the PMI cohort is the shift from a "physician-centric" model to a "patient-centric" model. In today's
internet-connected, mobile-phone-carrying, electronic-medical-record-enabled world, much of the patient and
medical information that previously required physician
interaction now can be obtained directly from the patient.
Combine this with advances in genomic technologies
that enable full genome and transcriptome analysis for a
drop of blood, and it is now possible to go directly to the
patient for many studies.
A Direct-to-Patient Research Model
Consistent with the goals of PMI, Los Angeles-based DxTerity Diagnostics recently launched is Direct-to-Patient (D2P)
Platform, which streamlines qualification, consenting,
genomic profiling and patient monitoring, and allows the
whole process to occur from the convenience and privacy
of a patient's home. Patients are recruited using a combination of social media, health websites, Google, and research
foundations as well as physician organizations, if available.
Patients are directed to a website that describes the study
and asked a series of questions to determine eligibility.
Qualified patients are digitally consented, and sent a
blood collection kit that the patient uses to self-collect 100
microliters (about 4 drops) of blood from a fingertip. The
patient returns the sample by standard mail. No refrigeration is required. Electronic Data Capture (EDC) monitors
and tracks patient samples, and Patient Reported Outcome
Cancer Database (continued from page 7)
"Understanding the biology of cancer from the patient
data will provide invaluable insight into various cancers
and how to treat it in the most precise manner."
The Galas lab will apply to the data its proprietary computational biology method to develop a better understanding of cancer development and progression. It will
be the first time the lab has used its technology for cancer
research. To date the lab has successfully used its approach
to analyze data ranging from RNA profiles in patients with
26
Clinical OMICs September 2016
(PRO) data is collected via a web interface.
Upon receipt of the samples by DxTerity, a full range of
genomic analysis is possible, as well as testing of a limited
menu of protein markers. Importantly, unlike saliva collection or cheek swabs that only support DNA analysis, blood
enables transcriptome analysis (RNA), which is particularly
useful for monitoring immune response. An added benefit
of D2P is the ability to perform more frequent monitoring
of patients, enabling researchers to characterize and monitor populations very closely and at any frequency (even
daily), rather than the standard two- to four-month intervals. This increased monitoring frequency is particularly
useful for characterizing a patient's response to a treatment change or for autoimmune diseases like rheumatoid
arthritis, lupus, and multiple sclerosis that are prone to
cycles of remission and flare.
Overall, patient-centric clinical studies like those empowered by DxTerity's Direct-to-Patient platform are an important innovation in genomic research, and should lead to
significant advances in precision medicine. The potential
cost savings and health benefits of precision medicine are
exciting. The first rule of medicine, however, is still to do no
harm, and new genomic tests need to be validated prior to
incorporation into routine medical care.
Bob Terbrueggen
is CEO of DxTerity Genomics, a Los
Angeles-based developer and marketer
of genetic tests.
autoimmune disease to childhood development.
"Allowing (Dr. Galas's) extremely innovative analytical
platform to survey our Cancer Database will enable Indivumed and collaborative research partners to better
understand the complexity of cancer and to translate their
specific targets and biomarkers in the context of the clinical world of cancer," said Hartmut Juhl, M.D., Ph.D., founder
and CEO of Indivumed. "Overall, we hope to get closer to
the development of a true precision medicine for cancer
patients."
www.clinicalomics.com
http://www.clinicalomics.com
Table of Contents for the Digital Edition of Clinical OMICs - Volume 3, Issue 9
Contents
Clinical OMICs - Volume 3, Issue 9 - Cover1
Clinical OMICs - Volume 3, Issue 9 - Cover2
Clinical OMICs - Volume 3, Issue 9 - Contents
Clinical OMICs - Volume 3, Issue 9 - 4
Clinical OMICs - Volume 3, Issue 9 - 5
Clinical OMICs - Volume 3, Issue 9 - 6
Clinical OMICs - Volume 3, Issue 9 - 7
Clinical OMICs - Volume 3, Issue 9 - 8
Clinical OMICs - Volume 3, Issue 9 - 9
Clinical OMICs - Volume 3, Issue 9 - 10
Clinical OMICs - Volume 3, Issue 9 - 11
Clinical OMICs - Volume 3, Issue 9 - 12
Clinical OMICs - Volume 3, Issue 9 - 13
Clinical OMICs - Volume 3, Issue 9 - 14
Clinical OMICs - Volume 3, Issue 9 - 15
Clinical OMICs - Volume 3, Issue 9 - 16
Clinical OMICs - Volume 3, Issue 9 - 17
Clinical OMICs - Volume 3, Issue 9 - 18
Clinical OMICs - Volume 3, Issue 9 - 19
Clinical OMICs - Volume 3, Issue 9 - 20
Clinical OMICs - Volume 3, Issue 9 - 21
Clinical OMICs - Volume 3, Issue 9 - 22
Clinical OMICs - Volume 3, Issue 9 - 23
Clinical OMICs - Volume 3, Issue 9 - 24
Clinical OMICs - Volume 3, Issue 9 - 25
Clinical OMICs - Volume 3, Issue 9 - 26
Clinical OMICs - Volume 3, Issue 9 - 27
Clinical OMICs - Volume 3, Issue 9 - 28
Clinical OMICs - Volume 3, Issue 9 - 29
Clinical OMICs - Volume 3, Issue 9 - 30
Clinical OMICs - Volume 3, Issue 9 - 31
Clinical OMICs - Volume 3, Issue 9 - 32
Clinical OMICs - Volume 3, Issue 9 - 33
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue15
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue14
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue13
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue1
https://www.nxtbookmedia.com