Perelman – Page 6 – Penn Bioengineering Blog

March 24, 2023March 23, 2023

More Cancers May be Treated with Drugs than Previously Believed

by Alex Gardner

3D illustration of cancer cells — nucleus and membrane of pathogen micro organisms in blue background

Up to 50 percent of cancer-signaling proteins once believed to be immune to drug treatments due to a lack of targetable protein regions may actually be treatable, according to a new study from the Perelman School of Medicine at the University of Pennsylvania. The findings, published this month in Nature Communications, suggest there may be new opportunities to treat cancer with new or existing drugs.

Researchers, clinicians, and pharmacologists looking to identify new ways to treat medical conditions—from cancer to autoimmune diseases—often focus on protein pockets, areas within protein structures to which certain proteins or molecules can bind. While some pockets are easily identifiable within a protein structure, others are not. Those hidden pockets, referred to as cryptic pockets, can provide new opportunities for drugs to bind to. The more pockets scientists and clinicians have to target with drugs, the more opportunities they have to control disease.

The research team identified new pockets using a Penn-designed neural network, called PocketMiner, which is artificial intelligence that predicts where cryptic pockets are likely to form from a single protein structure and learns from itself. Using PocketMiner—which was trained on simulations run on the world’s largest super computer—researchers simulated single protein structures and successfully predicted the locations of cryptic pockets in 35 cancer-related protein structures in thousands of areas of the body. These once-hidden targets, now identified, open up new approaches for potentially treating existing cancer.

What’s more, while successfully predicting the cryptic pockets, the method scientists used in this study was much faster than previous simulation or machine-learning methods. The network allows researchers to nearly instantaneously decide if a protein is likely to have cryptic pockets before investing in more expensive simulations or experiments to pursue a predicted pocket further.

“More than half of human proteins are considered undruggable due to an apparent lack of binding proteins in the snapshots we have,” said Gregory R. Bowman, PhD, a professor of Biochemistry and Biophysics and Bioengineering at Penn and the lead author of the study. “This PocketMiner research and other research like it not only predict druggable pockets in critical protein structures related to cancer but suggest most human proteins likely have druggable pockets, too. It’s a finding that offers hope to those with currently untreatable diseases.”

Read the full story in Penn Medicine News.

March 23, 2023March 22, 2023

2022 PIP/PEP Prize Winners: Where are they now?

by Brandon Baker

William Danon and Luka Yancopoulos pose in front of College Hall in April 2022. They are co-founders of Grapevine and the winners of the 2022 President’s Innovation Prize. (Photo: Eric Sucar)

In April 2022, three President’s Prize-winning teams were selected from an applicant pool of 71 people to develop projects that promote engagement and innovation. Each project received $100,000, as well as a $50,000 living stipend per team member.

The President’s Innovation Prize and President’s Engagement Prize winners included Grapevine, which aims to better connect buyers and suppliers to stabilize the medical supply chain market; IF Ventures, with its mission to scale impact by supporting college students with early-stage startup ideas that have measurable social and environmental impact; and Cosmic Writers, which organizes writing workshops to cultivate K-12 students to be better writers and communicators — and, therefore, better citizens.

“In less than a year, these three PIP and PEP prize-winning teams have already proven their commitment to making a difference in the world,” says President Liz Magill. “Their projects are ambitious and inspiring, and I am proud the University has been able to provide financial and networking support for these determined changemakers.”

Grapevine, 2022 President’s Innovation Prize Winners

After graduating in May 2022, Luka Yancopoulos, an Environmental Studies major and a Bioengineering major in the School of Engineering and Applied Science and William Danon, a History major, relocated to an office space in Westchester, New York, and got to work on a research and validation process — first, by spending a day at a Penn Medicine facility, Lancaster General Health, then by committing hundreds of hours to interviewing distributor and procurement teams alike, along with potential client companies. The mission, as any researcher knows, was to understand key pain points. They also onboarded veterans in logistics, technology, and payment security and processing while devising an organizational structure in which Yancopoulous leads on technology and design solutions while Danon interfaces with customers to know what needs remain unmet.

Grapevine soft launched in fall 2022 and, they say, has interfaced with 30 companies through its digital platform to facilitate sales among 40 suppliers, amounting to more than $20,000 in transactions. The appeal of the platform, they say, remains the concept of the “digital supply chain network,” which Yancopoulos says partners can use to connect with resellers, hospitals, distributors, and others to reduce the risk of supply chain disruption that is not just a product of the pandemic, he adds, but “forever ongoing.”

“It’s driven by the principle that together we’re stronger, and I mean that in every aspect of my life,” he says. “That people are stronger, and with Grapevine we work to [bolster] supply chains and increase the accessibility of health care products — together.”

Since winning the President’s Innovation Prize, they’ve focused on working with small- to medium-sized businesses — whether local clinics or high-quality, specialized resellers — that struggle to compete with or pay for traditional, large-scale distributors that are better-resourced or too expensive. It’s allowed them to also find new users, like health care-adjacent businesses including funeral homes and tattoo parlors.

Their current tagline: “Grow with us,” Danon says.

Watch a video overview of Grapevine’s progress since receiving the PIP prize and read more about the other PIP/PEP prize winners at Penn Today.

Read more stories featuring Grapevine.

March 17, 2023

A Potential Strategy to Improve T Cell Therapy in Solid Tumors

A new Penn Medicine preclinical study demonstrates a simultaneous ‘knockout’ of two inflammatory regulators boosts T cell expansion to attack solid tumors.

by Meagan Raeke

A new approach that delivers a “one-two punch” to help T cells attack solid tumors is the focus of a preclinical study by researchers from the Perelman School of Medicine. The findings, published in the Proceedings of the National Academy of Sciences, show that targeting two regulators that control gene functions related to inflammation led to at least 10 times greater T cell expansion in models, resulting in increased anti-tumor immune activity and durability.

CAR T cell therapy was pioneered at Penn Medicine by Carl H. June, the Richard W. Vague Professor in Immunotherapy at Penn and director of the Center for Cellular Immunotherapies (CCI) at Abramson Cancer Center, whose work led to the first approved CAR T cell therapy for B-cell acute lymphoblastic leukemia in 2017. Since then, personalized cellular therapies have revolutionized blood cancer treatment, but remained stubbornly ineffective against solid tumors, such as lung cancer and breast cancer.

“We want to unlock CAR T cell therapy for patients with solid tumors, which include the most commonly diagnosed cancer types,” says June, the new study’s senior author. “Our study shows that immune inflammatory regulator targeting is worth additional investigation to enhance T cell potency.”

One of the challenges for CAR T cell therapy in solid tumors is a phenomenon known as T cell exhaustion, where the persistent antigen exposure from the solid mass of tumor cells wears out the T cells to the point that they aren’t able to mount an anti-tumor response. Engineering already exhausted T cells from patients for CAR T cell therapy results in a less effective product because the T cells don’t multiply enough or remember their task as well.

Previous observational studies hinted at the inflammatory regulator Regnase-1 as a potential target to indirectly overcome the effects of T cell exhaustion because it can cause hyperinflammation when disrupted in T cells—reviving them to produce an anti-tumor response. The research team, including lead author David Mai, a bioengineering graduate student in the School of Engineering and Applied Science, and co-corresponding author Neil Sheppard, head of the CCI T Cell Engineering Lab, hypothesized that targeting the related, but independent Roquin-1 regulator at the same time could boost responses further.

“Each of these two regulatory genes has been implicated in restricting T cell inflammatory responses, but we found that disrupting them together produced much greater anti-cancer effects than disrupting them individually,” Mai says. “By building on previous research, we are starting to get closer to strategies that seem to be promising in the solid tumor context.”

Read the full story in Penn Medicine News.

June is a member of the Penn Bioengineering Graduate Group. Read more stories featuring June’s research here.

February 7, 2023February 7, 2023

Carl June and Avery Posey Lead the Way in CAR T Cell Therapy

Perelman School of Medicine (PSOM) professors and Penn Bioengineering Graduate Group members Carl June and Avery Posey are leading the charge in T cell therapy and the fight against cancer.

Advances in genome editing through processes such as CRISPR, and the ability to rewire cells through synthetic biology, have led to increasingly elaborate approaches for modifying and supercharging T cells for therapy. Avery Posey, Assistant Professor of Pharmacology, and Carl June, the Richard W. Vague Professor in Immunotherapy, explain how new techniques are providing tools to counter some of the limitations of current CAR T cell therapies in a recent Nature feature.

The pair were also part of a team of researchers from PSOM, the Children’s Hospital of Philadelphia (CHOP), and the Corporal Michael J. Crescenz VA Medical Center to receive an inaugural $8 million Therapy ACceleration To Intercept CAncer Lethality (TACTICAL) Award from the Prostate Cancer Foundation. Their project will develop new clinic-ready CAR T cell therapies for Metastatic Castrate-Resistant Prostate Cancer (mCRPC).

Read “The race to supercharge cancer-fighting T cells” in Nature.

Read about the TACTICAL Award in the December 2022 Awards & Accolades section of Penn Medicine News.

January 20, 2023January 19, 2023

RNA Lipid Nanoparticle Engineering Stops Liver Fibrosis in its Tracks, Reverses Damage

by Melissa Pappas

Members of the research team include (from left to right) Xuexiang Han, Michael J. Mitchell, Ningqiang Gong, Lulu Xue, Sarah J. Shepherd, and Rakan El-Mayta.

Since the success of the COVID-19 vaccine, RNA therapies have been the object of increasing interest in the biotech world. These therapies work with your body to target the genetic root of diseases and infections, a promising alternative treatment method to that of traditional pharmaceutical drugs.

Lipid nanoparticles (LNPs) have been successfully used in drug delivery for decades. FDA-approved therapies use them as vehicles for delivering messenger RNA (mRNA), which prompts the cell to make new proteins, and small interfering RNA (siRNA), which instruct the cell to silence or inhibit the expression of certain proteins.

The biggest challenge in developing a successful RNA therapy is its targeted delivery. Research is now confronting the current limitations of LNPs, which have left many diseases without an effective RNA therapy.

Liver fibrosis occurs when the liver is repeatedly damaged and the healing process results in the accumulation of scar tissue, impeding healthy liver function. It is a chronic disease characterized by the buildup of excessive collagen-rich extracellular matrix (ECM). Liver fibrosis has remained challenging to treat using RNA therapies due to a lack of delivery systems for targeting activated liver-resident fibroblasts. Both the solid fibroblast structure and the lack of specificity or affinity to target these fibroblasts has impeded current LNPs from entering activated liver-resident fibroblasts, and thus they are unable to deliver RNA therapeutics.

To tackle this issue and help provide a treatment for the millions of people who suffer from this chronic disease, Michael Mitchell, J. Peter and Geri Skirkanich Assistant Professor of Innovation in the Department of Bioengineering, and postdoctoral fellows Xuexiang Han and Ningqiang Gong, found a new way to synthesize ligand-tethered LNPs, increasing their selectivity and allowing them to target liver fibroblasts.

Lulu Xue, Margaret Billingsley, Rakan El-Mayta, Sarah J. Shepherd, Mohamad-Gabriel Alameh and Drew Weissman, Roberts Family Professor in Vaccine Research and Director of the Penn Institute for RNA Innovation at the Perelman School of Medicine, also contributed to this work.

Read the full story in Penn Engineering Today.

January 19, 2023

ASSET Center Inaugural Seed Grants Will Fund Trustworthy AI Research in Healthcare

by Devorah Fischler

Penn Engineering’s newly established ASSET Center aims to make AI-enabled systems more “safe, explainable and trustworthy” by studying the fundamentals of the artificial neural networks that organize and interpret data to solve problems.

ASSET’s first funding collaboration is with Penn’s Perelman School of Medicine (PSOM) and the Penn Institute for Biomedical Informatics (IBI). Together, they have launched a series of seed grants that will fund research at the intersection of AI and healthcare.

Teams featuring faculty members from Penn Engineering, Penn Medicine and the Wharton School applied for these grants, to be funded annually at $100,000. A committee consisting of faculty from both Penn Engineering and PSOM evaluated 18 applications and judged the proposals based on clinical relevance, AI foundations and potential for impact.

Artificial intelligence and machine learning promise to revolutionize nearly every field, sifting through massive amounts of data to find insights that humans would miss, making faster and more accurate decisions and predictions as a result.

Applying those insights to healthcare could yield life-saving benefits. For example, AI-enabled systems could analyze medical imaging for hard-to-spot tumors, collate multiple streams of disparate patient information for faster diagnoses or more accurately predict the course of disease.

Given the stakes, however, understanding exactly how these technologies arrive at their conclusions is critical. Doctors, nurses and other healthcare providers won’t use such technologies if they don’t trust that their internal logic is sound.

“We are developing techniques that will allow AI-based decision systems to provide both quantifiable guarantees and explanations of their predictions,” says Rajeev Alur, Zisman Family Professor in Computer and Information Science and Director of the ASSET Center. “Transparency and accuracy are key.”

“Development of explainable and trustworthy AI is critical for adoption in the practice of medicine,” adds Marylyn Ritchie, Professor of Genetics and Director of the Penn Institute for Biomedical Informatics. “We are thrilled about this partnership between ASSET and IBI to fund these innovative and exciting projects.”

Seven projects were selected in the inaugural class, including projects from Dani S. Bassett, J. Peter Skirkanich Professor in the Departments of Bioengineering, Electrical and Systems Engineering, Physics & Astronomy, Neurology, and Psychiatry, and several members of the Penn Bioengineering Graduate Group: Despina Kontos, Matthew J. Wilson Professor of Research Radiology II, Department of Radiology, Penn Medicine and Lyle Ungar, Professor, Department of Computer and Information Science, Penn Engineering; Spyridon Bakas, Assistant Professor, Departments of Pathology and Laboratory Medicine and Radiology, Penn Medicine; and Walter R. Witschey, Associate Professor, Department of Radiology, Penn Medicine.

Optimizing clinical monitoring for delivery room resuscitation using novel interpretable AI

Elizabeth Foglia, Associate Professor, Department of Pediatrics, Penn Medicine and the Children’s Hospital of Philadelphia

Dani S. Bassett, J. Peter Skirkanich Professor, Departments of Bioengineering and Electrical and Systems Engineering, Penn Engineering

This project will apply a novel interpretable machine learning approach, known as the Distributed Information Bottleneck, to solve pressing problems in identifying and displaying critical information during time-sensitive clinical encounters. This project will develop a framework for the optimal integration of information from multiple physiologic measures that are continuously monitored during delivery room resuscitation. The team’s immediate goal is to detect and display key target respiratory parameters during delivery room resuscitation to prevent acute and chronic lung injury for preterm infants. Because this approach is generalizable to any setting in which complex relations between information-rich variables are predictive of health outcomes, the project will lay the groundwork for future applications to other clinical scenarios.

Read the full list of projects and abstracts in Penn Engineering Today.

January 11, 2023

OCTOPUS, an Optimized Device for Growing Mini-Organs in a Dish

by Devorah Fischler

With OCTOPUS, Dan Huh’s team has significantly advanced the frontiers of organoid research, providing a platform superior to conventional gel droplets. OCTOPUS splits the soft hydrogel culture material into a tentacled geometry. The thin, radial culture chambers sit on a circular disk the size of a U.S. quarter, allowing organoids to advance to an unprecedented degree of maturity.

When it comes to human bodies, there is no such thing as typical. Variation is the rule. In recent years, the biological sciences have increased their focus on exploring the poignant lack of norms between individuals, and medical and pharmaceutical researchers are asking questions about translating insights concerning biological variation into more precise and compassionate care.

What if therapies could be tailored to each patient? What would happen if we could predict an individual body’s response to a drug before trial-and-error treatment? Is it possible to understand the way a person’s disease begins and develops so we can know exactly how to cure it?

Dan Huh, Associate Professor in the Department of Bioengineering at the University of Pennsylvania’s School of Engineering and Applied Science, seeks answers to these questions by replicating biological systems outside of the body. These external copies of internal systems promise to boost drug efficacy while providing new levels of knowledge about patient health.

An innovator of organ-on-a-chip technology, or miniature copies of bodily systems stored in plastic devices no larger than a thumb drive, Huh has broadened his attention to engineering mini-organs in a dish using a patient’s own cells.

A recent study published in Nature Methods helmed by Huh introduces OCTOPUS, a device that nurtures organs-in-a-dish to unmatched levels of maturity. The study leaders include Estelle Park, doctoral student in Bioengineering, Tatiana Karakasheva, Associate Director of the Gastrointestinal Epithelium Modeling Program at Children’s Hospital of Philadelphia (CHOP), and Kathryn Hamilton, Assistant Professor of Pediatrics in Penn’s Perelman School of Medicine and Co-Director of the Gastrointestinal Epithelial Modeling Program at CHOP.

Read the full story in Penn Engineering Today.

January 6, 2023

CAR T Cell Therapy Reaches Beyond Cancer

Penn Medicine researchers laud the early results for CAR T therapy in lupus patients, which point to broader horizons for the use of personalized cellular therapies.

Penn Medicine’s Carl June and Daniel Baker.

Engineered immune cells, known as CAR T cells, have shown the world what personalized immunotherapies can do to fight blood cancers. Now, investigators have reported highly promising early results for CAR T therapy in a small set of patients with the autoimmune disease lupus. Penn Medicine CAR T pioneer Carl June and Daniel Baker, a doctoral student in cell and molecular biology in the Perelman School of Medicine, discuss this development in a commentary published in Cell.

“We’ve always known that in principle, CAR T therapies could have broad applications, and it’s very encouraging to see early evidence that this promise is now being realized,” says June, who is the Richard W. Vague Professor in Immunotherapy in the department of Pathology and Laboratory Medicine at Penn Medicine and director of the Center for Cellular Immunotherapies at the Abramson Cancer Center.

T cells are among the immune system’s most powerful weapons. They can bind to, and kill, other cells they recognize as valid targets, including virus-infected cells. CAR T cells are T cells that have been redirected, through genetic engineering, to efficiently kill specifically defined cell types.

CAR T therapies are created out of each patient’s own cells—collected from the patient’s blood, and then engineered and multiplied in the lab before being reinfused into the patient as a “living drug.” The first CAR T therapy, Kymriah, was developed by June and his team at Penn Medicine, and received Food & Drug Administration approval in 2017. There are now six FDA-approved CAR T cell therapies in the United States, for six different cancers.

From the start of CAR T research, experts believed that T cells could be engineered to fight many conditions other than B cell cancers. Dozens of research teams around the world, including teams at Penn Medicine and biotech spinoffs who are working to develop effective treatments from Penn-developed personalized cellular therapy constructs, are examining these potential new applications. Researchers say lupus is an obvious choice for CAR T therapy because it too is driven by B cells, and thus experimental CAR T therapies against it can employ existing anti-B-cell designs. B cells are the immune system’s antibody-producing cells, and, in lupus, B cells arise that attack the patient’s own organs and tissues.

This story is by Meagan Raeke. Read more at Penn Medicine News.

Carl June is a member of the Penn Bioengineering Graduate Group. Read more stories featuring June’s research here.

December 20, 2022

Penn Integrates Knowledge Professor Kevin Johnson Takes the Stage at ‘Engaging Minds’

by Michele Berger

Penn Integrates Knowledge Professor Kevin Johnson takes the stage at 24th Engaging Minds. (Image: Ben Asen)

This past weekend in New York City, the University of Pennsylvania showcased its 24th Engaging Minds event, the first in person since 2019. It was hosted by Penn Alumni.

Three Penn Integrates Knowledge University Professors — Kevin Johnson, Lance Freeman and Dolores Albarracín, — each discussed their research. The audience, at least 600 in person and remote, heard about using city planning to promote racial equity, about how conspiracy theories come to life and propagate, and about the need for physicians to communicate effectively with patients and families.

Following brief remarks from Penn Alumni President Ann Reese, University President Liz Magill introduced the event. “As many of you know, I’ve been thinking a lot and speaking often about what makes Penn Penn,” she said. “What are our distinctive strengths? What are the unique contributions to society that we have made in the past and can make in the future? And where do we go from the extraordinary position we are in now?”

Magill went on to express gratitude for the speakers and invited the audience to think about how the researchers’ work and expertise furthered what she described as the “twin principles of truth and opportunity.”

Effective communication

Johnson, the David L. Cohen University Professor with joint appointments in the Department of Computer and Information Science in the School of Engineering and Applied Science, and the Department of Biostatistics, Epidemiology, and Informatics in the Perelman School of Medicine, started his talk with a case study. “That case is going to be my case,” he said.

He took the audience through his family history, education and training, pausing at a point on the timeline when he was a young physician-scientist who had just explained a new medical topic to a journalist. “I felt really good about the conversation — and then the article came out,” Johnson said.

In the piece, he had been cast as saying that the medical community was over-treating this condition, “which is not what I said.” He realized in that moment that as a physician, he had been taught to communicate what a study finds, not how to act based on those findings. That experience shifted his thinking on how to communicate scientific topics, and he has spent decades trying to move the needle on how others in his field perceive this.

“As scientists we face obstacles. We face the obstacle of scale, so, small projects that we’re asked to generalize. We face the issue of trust. And then we face the issue of values,” Johnson said. “I’ll add a fourth, which is format; the way we choose to reach specific audiences will be different.”

Read more about the 24th Engaging Minds at Penn Today.

Kevin Johnson is the David L. Cohen University of Pennsylvania Professor in the Departments of Biostatistics, Epidemiology and Informatics and Computer and Information Science. As a Penn Integrates Knowlegde (PIK) University Professor, Johnson also holds appointments in the Departments of Bioengineering and Pediatrics, as well as in the Annenberg School of Communication.

December 9, 2022

Dani Smith Bassett Receives 2022-23 Heilmeier Award

by Olivia J. McMahon

Dani Smith Bassett, J. Peter Skirkanich Professor in Bioengineering and in Electrical and Systems Engineering in Penn Engineering, has been named the recipient of the 2022-23 George H. Heilmeier Faculty Award for Excellence in Research for “groundbreaking contributions to modeling and control of brain networks in the contexts of learning, disease and aging.”

The Heilmeier Award honors a Penn Engineering faculty member whose work is scientifically meritorious and has high technological impact and visibility. It is named for the late George H. Heilmeier, a Penn Engineering alumnus and member of the School’s Board of Advisors, whose technological contributions include the development of liquid crystal displays and whose honors include the National Medal of Science and Kyoto Prize.

Bassett, who also holds appointments in Physics & Astronomy in Penn Arts & Sciences and in Neurology and Psychiatry in the Perelman School of Medicine, is a pioneer in the field of network neuroscience, an emerging subfield which incorporates elements of mathematics, physics, biology and systems engineering to better understand how the overall shape of connections between individual neurons influences cognitive traits. They lead the Complex Systems lab, which tackles problems at the intersection of science, engineering and medicine using systems-level approaches, exploring fields such as curiosity, dynamic networks in neuroscience, and psychiatric disease.

Bassett will deliver the 2022-23 Heilmeier Award Lecture in Spring 2023.