OncoResponse in partnership with MD Anderson Cancer Center received a portion of $73 million the Cancer Prevention and Research Institute of Texas has doled out this spring. Photo via oncoresponse.com

A biotech company has landed a more than $13 million grant from the Cancer Prevention and Research Institute of Texas.

The nearly $13.3 million grant given to OncoResponse — which is relocating from Seattle to Houston, according to CPRIT's news release — will help the company develop fully human monoclonal antibodies for treatment of cancer that otherwise would not respond to immunotherapy. OncoResponse already has a partnership with MD Anderson Cancer Center, which is one of the company’s investors.

“We are thrilled to receive this recognition from CPRIT in supporting the potential of our immunotherapy candidate OR502. We greatly appreciate the additional support from our investors as we continue to make significant progress with our drug development efforts advancing immunotherapies derived from clues of Elite Responders,” says Clifford Stocks, CEO of OncoResponse, in a news release.

Aside from the grant, OncoResponse just hauled in $14 million from existing investors in a round led by RiverVest Venture Partners. Other participants in the series D round include Venture Partners, Canaan Partners, 3B Future Health Fund, Bering Capital, Takeda Ventures, and InterVest Capital Partners.

To date, OncoResponse has raised more than $180 million, according to market research company CB Insights.

A representative of OncoResponse couldn’t be reached for comment about the company’s relocation to Houston.

MD Anderson and Seattle-based Theraclone Sciences launched OncoResponse in 2015. Rice University was among the inaugural investors.

OncoResponse’s OR2805 immunotherapy product is being evaluated in a Phase 1 clinical trial. It’s the company’s leading immunotherapy candidate. OncoResponse is also working on OR502, an antibody being prepared for investigational and clinical studies.

“The modern treatment of cancer activates the body’s own immune system to attack cancer,” OncoResponse says in a summary posted on the website of the Cancer Prevention and Research Institute of Texas (CPRIT).

“These treatments, called immunotherapy, may not be successful if the cancer can recruit bad-acting cells, such as tumor associated macrophages, or TAMs, that create barriers preventing immunotherapies from activating the body’s own defenses against the cancer. To find drugs that may help counteract these TAMs, OncoResponse looked to patients who had responded very well to immunotherapy to see if their bodies made factors to block TAMs and helped them fight their cancers.”

OncoResponse’s OR502 prevents TAMs from shutting down the body’s response to cancer, thus restoring tumor-killing immune activity, CPRIT explains.

In addition to OncoResponse, recent CPRIT grant recipients from the Houston area are:

  • Houston-based 7 Hills Pharma, $13,439,001. The company is working on immunotherapies for treatment of cancer and prevention of infectious diseases.
  • Houston-based Allterum Therapeutics, $11,721,150. The company is coming up with an antibody for treatment of patients with acute lymphoblastic leukemia. This type of cancer affects blood and bone marrow.
  • Houston-based Cell Therapy Manufacturing Center, $9.1 million. The center is a joint venture between National Resilience and MD Anderson Cancer Center that is developing cell therapy manufacturing technologies to support biotech partnerships.
  • Houston-based Pulmotect, $8,851,165. The company’s PUL-042 product is aimed at treating and preventing respiratory complications in cancer patients.
  • Cancer researcher Michael King, $6 million. The grant helped lure King to Rice from Nashville’s Vanderbilt University, where he’s been the chair of biomedical engineering. King’s lab at Vanderbilt has been testing therapies for metastatic breast cancer and prostate cancer.
  • Missouri City-based OmniNano Pharmaceuticals, $2,711,437. The pharmatech company is working on two drugs for treatment of solid tumors in patients with pancreatic cancer.

“Texas is unique because of CPRIT’s ability to invest in cutting-edge research when private capital is scarce. This is yet another way Texas is leading the nation in the fight against cancer,” Wayne Roberts, CEO of CPRIT, says in a news release.

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Houston doctor wins NIH grant to test virtual reality for ICU delirium

Virtual healing

Think of it like a reverse version of The Matrix. A person wakes up in a hospital bed and gets plugged into a virtual reality game world in order to heal.

While it may sound far-fetched, Dr. Hina Faisal, a Houston Methodist critical care specialist in the Department of Surgery, was recently awarded a $242,000 grant from the National Institute of Health to test the effects of VR games on patients coming out of major surgery in the intensive care unit (ICU).

The five-year study will focus on older patients using mental stimulation techniques to reduce incidences of delirium. The award comes courtesy of the National Institute on Aging K76 Paul B. Beeson Emerging Leaders Career Development Award in Aging.

“As the population of older adults continues to grow, the need for effective, scalable interventions to prevent postoperative complications like delirium is more important than ever,” Faisal said in a news release.

ICU delirium is a serious condition that can lead to major complications and even death. Roughly 87 percent of patients who undergo major surgery involving intubation will experience some form of delirium coming out of anesthesia. Causes can range from infection to drug reactions. While many cases are mild, prolonged ICU delirium may prevent a patient from following medical advice or even cause them to hurt themselves.

Using VR games to treat delirium is a rapidly emerging and exciting branch of medicine. Studies show that VR games can help promote mental activity, memory and cognitive function. However, the full benefits are currently unknown as studies have been hampered by small patient populations.

Faisal believes that half of all ICU delirium cases are preventable through VR treatment. Currently, a general lack of knowledge and resources has been holding back the advancement of the treatment.

Hopefully, the work of Faisal in one of the busiest medical cities in the world can alleviate that problem as she spends the next half-decade plugging patients into games to aid in their healing.

Houston scientists develop breakthrough AI-driven process to design, decode genetic circuits

biotech breakthrough

Researchers at Rice University have developed an innovative process that uses artificial intelligence to better understand complex genetic circuits.

A study, published in the journal Nature, shows how the new technique, known as “Combining Long- and Short-range Sequencing to Investigate Genetic Complexity,” or CLASSIC, can generate and test millions of DNA designs at the same time, which, according to Rice.

The work was led by Rice’s Caleb Bashor, deputy director for the Rice Synthetic Biology Institute and member of the Ken Kennedy Institute. Bashor has been working with Kshitij Rai and Ronan O’Connell, co-first authors on the study, on the CLASSIC for over four years, according to a news release.

“Our work is the first demonstration that you can use AI for designing these circuits,” Bashor said in the release.

Genetic circuits program cells to perform specific functions. Finding the circuit that matches a desired function or performance "can be like looking for a needle in a haystack," Bashor explained. This work looked to find a solution to this long-standing challenge in synthetic biology.

First, the team developed a library of proof-of-concept genetic circuits. It then pooled the circuits and inserted them into human cells. Next, they used long-read and short-read DNA sequencing to create "a master map" that linked each circuit to how it performed.

The data was then used to train AI and machine learning models to analyze circuits and make accurate predictions for how untested circuits might perform.

“We end up with measurements for a lot of the possible designs but not all of them, and that is where building the (machine learning) model comes in,” O’Connell explained in the release. “We use the data to train a model that can understand this landscape and predict things we were not able to generate data on.”

Ultimately, the researchers believe the circuit characterization and AI-driven understanding can speed up synthetic biology, lead to faster development of biotechnology and potentially support more cell-based therapy breakthroughs by shedding new light on how gene circuits behave, according to Rice.

“We think AI/ML-driven design is the future of synthetic biology,” Bashor added in the release. “As we collect more data using CLASSIC, we can train more complex models to make predictions for how to design even more sophisticated and useful cellular biotechnology.”

The team at Rice also worked with Pankaj Mehta’s group in the department of physics at Boston University and Todd Treangen’s group in Rice’s computer science department. Research was supported by the National Institutes of Health, Office of Naval Research, the Robert J. Kleberg Jr. and Helen C. Kleberg Foundation, the American Heart Association, National Library of Medicine, the National Science Foundation, Rice’s Ken Kennedy Institute and the Rice Institute of Synthetic Biology.

James Collins, a biomedical engineer at MIT who helped establish synthetic biology as a field, added that CLASSIC is a new, defining milestone.

“Twenty-five years ago, those early circuits showed that we could program living cells, but they were built one at a time, each requiring months of tuning,” said Collins, who was one of the inventors of the toggle switch. “Bashor and colleagues have now delivered a transformative leap: CLASSIC brings high-throughput engineering to gene circuit design, allowing exploration of combinatorial spaces that were previously out of reach. Their platform doesn’t just accelerate the design-build-test-learn cycle; it redefines its scale, marking a new era of data-driven synthetic biology.”