Harvard: A device developed by Harvard Medical School investigators at
Massachusetts General Hospital may bring rapid, accurate molecular
diagnosis of cancer and other diseases to locations lacking the latest
medical technology. In their report appearing in PNAS Early Edition,
the researchers describe a smartphone-based device that uses technology
for making holograms to collect detailed microscopic images for digital
analysis of the molecular composition of cells and tissues.
“The global burden of cancer, limited access to prompt pathology
services in many regions and emerging cell profiling technologies
increase the need for low-cost, portable and rapid diagnostic approaches
that can be delivered at the point of care,” said Cesar Castro,
HMS instructor in medicine at Mass General and co-lead author of the
report. “The emerging genomic and biological data for various cancers,
which can be essential to choosing the most appropriate therapy,
supports the need for molecular profiling strategies that are more
accessible to providers, clinical investigators and patients. We believe
the platform we have developed provides essential features at an
extraordinary low cost.”
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The device—called the D3 (digital diffraction diagnosis)
system—features an imaging module with a battery-powered LED light
clipped onto a standard smartphone. It records high-resolution imaging
data with its camera.
With a much greater field of view than traditional microscopy, the D3
system is capable of recording data on more than 100,000 cells from a
blood or tissue sample in a single image. The data can then be
transmitted for analysis to a remote graphic-processing server via a
secure, encrypted cloud service. The results can be rapidly returned to
the point of care.
For molecular analysis of tumors, a sample of blood or tissue is
labeled with microbeads that bind to known cancer-related molecules; the
sample is then loaded into the D3 imaging module. After the image is
recorded and data transmitted to the server, the presence of specific
molecules is detected by analyzing the diffraction patterns generated by
the microbeads.
The use of variously sized or coated beads may offer unique
diffraction signatures to facilitate detection. A numerical algorithm
developed by the research team for the D3 platform can distinguish cells
from beads and analyze as much as 10 MB of data in less than
nine-hundredths of a second.
A pilot test of the system with cancer cell lines detected the
presence of tumor proteins with an accuracy matching the current gold
standard for molecular profiling. The larger field of view enabled
simultaneous analysis of more than 100,000 cells at a time.
The investigators then conducted analysis of cervical biopsy samples
from 25 women with abnormal Pap smears—samples collected along with
those used for clinical diagnosis—using microbeads tagged with
antibodies against three published markers of cervical cancer.
Based on the number of antibody-tagged microbeads binding to cells,
D3 analysis promptly and reliably categorized biopsy samples as
high-risk, low-risk or benign, with results matching conventional
pathologic analysis.
D3 analysis of fine-needle lymph node biopsy samples was accurately
able to differentiate four patients whose lymphoma diagnosis was
confirmed by conventional pathology from another four with benign lymph
node enlargement. Along with protein analyses, the system was enhanced
to successfully detect DNA—in this instance from human
papillomavirus—with great sensitivity.
In these pilot tests, results of the D3 assay were available in under
an hour and at a cost of $1.80 per assay, a price that would be
expected to drop with further refinement of the system.
“We expect that the D3 platform will enhance the breadth and depth of
cancer screening in a way that is feasible and sustainable for resource
limited-settings,” said Ralph Weissleder,
HMS Thrall Family Professor of Radiology at Mass General, director of
the Mass General Center for Systems Biology and co-senior author of the
paper. “By taking advantage of the increased penetration of mobile phone
technology worldwide, the system should allow the prompt triaging of
suspicious or high-risk cases. That could help to offset delays caused
by limited pathology services in those regions and reduce the need for
patients to return for follow-up care, which is often challenging for
them.”
In their further development of this technology, co-senior author Hakho Lee,
HMS assistant professor of radiology at Mass General, noted, “The
research team will investigate the D3 platform’s ability to analyze
protein and DNA markers of other disease catalysts, including infectious
agents and allergens, integrate the software with larger databases and
conduct clinical studies in settings such as care-delivery sites in
developing countries or rural settings and for home testing with
seamless sharing of information with providers and/or clinical
investigators.”
Mass General has filed a patent application covering the D3 technology.
“Compared with traditional analysis techniques, the D3 mobile
platform generates robust biological data while being significantly more
cost-conscious, operable by nonspecialist end users and well-suited to
point-of-care settings,” said co-lead author Hyungsoon Im,
HMS research fellow in radiology at Mass General. “We have field tested
the wireless readouts in rural areas of northern New England without
problems and believe this technology is poised to deliver fast, low-cost
and accurate cancer and HPV diagnosis.”
The study was supported by National Institutes of Health grants
R01-HL113156, R01-EB010011, R01-EB00462605A1, T32CA79443 and
K12CA087723-11A1; National Heart, Lung and Blood Institute contract
HHSN268201000044C; and Department of Defense Ovarian Cancer Research
Program Award W81XWH-14-1-0279.
Adapted from a Mass General news release.