Researchers create personalized organoid models for rare spinal cancer
Chordoma currently has few therapeutic options

Date:
February 16, 2022
Source:
University of California - Los Angeles Health Sciences
Summary:
A new study adds to a growing body of evidence that organoids --
lab- grown collections of cells that mimic a patient's tumor --
are a promising avenue for drug discovery to improve outcomes in
patients with cancer, particularly rare cancers for which clinical
data on drug effectiveness is often lacking.



FULL STORY ==========================================================================
A new study adds to a growing body of evidence that organoids -- lab-grown collections of cells that mimic a patient's tumor -- are a promising
avenue for drug discovery to improve outcomes in patients with cancer, particularly rare cancers for which clinical data on drug effectiveness
is often lacking.


========================================================================== Organoids are grown in a lab using a patient's own tissue cells
collected during surgery. These "mini tumors" are simpler, smaller
versions of bodily organs or tumors that replicate the full-function structures. Scientists in the laboratory of Dr. Alice Soragni at UCLA have pioneered their growth and use to study diseases and possible treatments.

In the latest study, published online Wednesday in Science Advances, investigators led by Dr. Soragni obtained seven tumor samples from
five patients with a rare bone cancer called a chordoma, which has few therapeutic options. Chordomas are tumors that arise in the sacrum or
skull base. Their primary treatment is surgery, but because of their
location, complete removal is not always feasible and recurrence rates
are high. Chordomas do not respond to conventional chemotherapy, and
their rarity (approximately one case for each million people a year in
the U.S.) complicates running trials to identify effective therapies.

"There is a real need for clinically-relevant, personalized models to find therapeutics for chordoma and many other rare cancers," said Soragni,
who is an assistant professor in the Department of Orthopaedic Surgery
and a member of the Jonsson Comprehensive Cancer Center. "Because this
cancer is so rare and there are few models available, our ability to
study how it responds to potential drugs is quite limited. What we have
done is to optimize a platform to grow organoids using cells from the
tumors to be able to investigate their biological characteristics and
determine which pathways might be most promising for treatment by testing
them against a wide range of therapeutics." As reported in the new study, investigators successfully created viable organoids from all samples. The patient-derived organoids showed morphologies and characteristics closely matching the actual chordoma tumors they were derived from, such as
expressing a protein called Ki-67, associated with cell proliferation,
and brachyury, a protein that is a well- established marker of chordoma.

The investigators then used the organoids to perform high-throughput
drug screening, an automated drug discovery process that allows for large numbers of potential therapeutics to be tested at once, rather than one
at a time, significantly accelerating the development and testing of
potential targets and drugs. This type of large-scale screening has been
key to drug development and testing but this is its first application
to patient-derived chordoma organoids.

From the screening, the authors identified several drug targets and
biological pathways that could be potentially pursued for therapy for
chordoma. They also pinpoint the importance of a personalized approach,
given the diverse responses seen among patients as well as between
different tumors collected from the same patient.

"We've shown that the patient-derived tumor organoids we develop can
be effectively screened against hundreds of drugs using our platform,
which now includes machine learning approaches to study organoids growth patterns and pathway analysis to find targetable biological processes,"
said Soragni. Over the past year, the laboratory of Dr. Soragni has
extended its screening capabilities to be able to generate and test
hundreds to thousands of drugs on tumor organoids each week thanks to
funds from an NIH grant and the Department of Orthopaedic Surgery. "Our automation-compatible approach to grow and screen patient-derived tumor organoids works well for rare carcinomas (Phan et al, 2019) and now even
slow growing bone tumors. Our work continues to be focused on generating individualized models for rare tumors, which often lack therapeutic
options, with a long-term goal to leverage these results in clinic."
The study's first authors are Ahmad Al Shihabi, MD, Project scientist
in the lab of Dr. Alice Soragni at UCLA and Ardalan Davarifar, MD, PhD, hematology/ oncology clinical fellow in the Soragni Lab. The other
authors are Huyen Thi Lam Nguyen, Nasrin Tavanaie, Scott D. Nelson,
Jane Yanagawa, Noah Federman, Nicholas Bernthal, and Alice Soragni,
all of UCLA, and Francis Hornicek, former UCLA now of University of Miami.

The research was supported by the NIH (R01CA244729 to A.S.) and a Seed
Grant from UCLA David Geffen School of Medicine (to A.S., N.F. and J.Y.).

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dreams in this free online course from New Scientist -- Sign_up_now_>>> ========================================================================== Story Source: Materials provided by University_of_California_-_Los_Angeles_Health_Sciences.

Note: Content may be edited for style and length.


========================================================================== Journal Reference:
1. Ahmad Al Shihabi, Ardalan Davarifar, Huyen Thi Lam Nguyen, Nasrin
Tavanaie, Scott D. Nelson, Jane Yanagawa, Noah Federman, Nicholas
Bernthal, Francis Hornicek, Alice Soragni. Personalized chordoma
organoids for drug discovery studies. Science Advances, 2022; 8
(7) DOI: 10.1126/sciadv.abl3674 ==========================================================================

Link to news story: https://www.sciencedaily.com/releases/2022/02/220216162306.htm

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