A precision drug-repurposing program developed at the University of Pittsburgh. Investigational, and not yet for clinical use.

Precision drug repurposing for pancreatic cancer

Choosing the next drug for pancreatic cancer, when the standard options run out.

PancRx is a drug-matching tool in development at the University of Pittsburgh. When a pancreatic cancer patient has already been through first-line treatment, can the tumor's own biology point to an approved drug that is likely to help?

The idea

Second-line treatment is often a judgment call with little evidence behind it.

First-line treatment for pancreatic ductal adenocarcinoma is usually one of two chemotherapy regimens, FOLFIRINOX or a gemcitabine and nab-paclitaxel combination. Which one a patient starts on depends largely on what their body can tolerate, since FOLFIRINOX is the more aggressive of the two. When the first regimen stops working, the second line is often simply the other one.

The new generation of KRAS inhibitors is beginning to change this picture, and it is a real advance. But it does not reach every patient. Some tumors carry no targetable KRAS alteration, and some progress even after a targeted drug. For those patients, the question of what to try next still has almost no evidence behind it.

That gap is where PancRx is meant to help. Rather than matching on mutations alone, which captures only what is broken and works only a fraction of the time in most solid tumors, PancRx looks at gene activity, a picture of how the tumor is actually behaving, and uses it to find approved drugs whose effect works against that behavior.

How it works
  1. Read the tumor's activity

    Start from a picture of which genes are switched on in the tumor, taken from a tissue sample or, where possible, a blood draw.

  2. Match it against known drugs

    Compare that picture against a large body of information on how approved drugs act on cells, drawn from decades of public research.

  3. Find what works against it

    Surface the drugs whose effect runs counter to the tumor's, and rank them by how strongly they push against its behavior, regardless of what those drugs were originally approved to treat.

  4. Deliver a clear shortlist

    Return a short, ranked list of candidates with the reasoning behind each, meant to inform a tumor board or treating oncologist rather than to replace their judgment.

Why it matters

A large, underserved need, and an approach that starts from medicines we already trust.

Pancreatic cancer has one of the lowest survival rates of any major cancer, and the patients PancRx focuses on, those who have already run through standard treatment, are among the hardest to help and the least served by what exists today.

Because PancRx works only with drugs that are already approved, it starts from medicines whose safety is already understood. That avoids the long and costly road of developing a new drug from scratch, and points instead to options a clinician could reasonably consider now.

Its value grows with use. The matching improves as it draws on more real patient outcomes, and the data access we are building, including our discussions with PanCAN, is difficult for others to reproduce. A clear clinical need, an approach grounded in existing medicine, and data that becomes more valuable over time are what make this worth building.

Where things stand

We have a working computational pipeline, an early proof of concept, and a team spanning pharmacy, pharmacogenomics, and computational drug discovery. What comes next is validation. The current focus is retrospective testing, checking the approach against past patients whose treatments and outcomes are already known, and we are in active discussions with PanCAN about access to their Know Your Tumor dataset to test it against real molecular and outcomes data. PancRx is investigational and not yet used to guide care, but the methodology it builds on is well established, and the path to validation is clear.

Who we are
Cameron Noval, BS, PharmD candidate, project lead

A student pharmacist at the University of Pittsburgh with a bioengineering background, Cameron leads the day-to-day research and builds the drug-matching pipeline, from the data work through planning the validation studies.

Christian A. Fernandez, PhD, principal investigator

Associate Professor in the Department of Pharmaceutical Sciences at Pitt and a member of the Center for Pharmacogenetics, with a lab focused on immuno-oncology and pharmacogenomics in cancer.

Junmei Wang, PhD, co-investigator

Associate Professor in the Department of Pharmaceutical Sciences and a core member of the Computational Chemical Genomics Screening Center, with expertise in molecular modeling and AI-driven drug discovery.

University of Pittsburgh. In early data discussions with PanCAN's Know Your Tumor program. Supported by the PUnCh innovation program.

Getting involved

If you are an oncologist who treats pancreatic cancer, we would welcome hearing from you, whether you want to partner as a clinical champion, see how a recommendation is built, or simply have questions. We especially value hearing where the approach falls short.

If your institution holds molecular and outcomes data, that is the fastest way to test whether this actually works, and we would like to talk.

And if you are a resident or researcher interested in computational oncology or drug repurposing, there is room to get involved. The best way to reach us is below.

pancreatic cancer awareness ribbon

Get in touch

Clinician, potential data partner, or researcher, we would be glad to hear from you and will follow up directly.