September 7, 2015

Dense surrounding tissue can block drugs from reaching pancreatic cancer tumors, but it also can help prevent the cancer from spreading. New research led by members of the UNC Lineberger Comprehensive Cancer Center helps explain the conflicting role of the surrounding tissue, known as stroma.

Lindsay A. Williams, UNC Lineberger researcher and doctoral student in epidemiology at UNC Gillings School of Global Public Health, is a co-author of the study, which examined molecular characteristics and found two subtypes of pancreatic cancer stroma.

Published Sept. 7 in the journal Nature Genetics, the study describes both new subtypes of stroma and two subtypes of pancreatic cancer tumors. The findings could help doctors tailor treatments to individual patients, an advancement particularly important for a disease that has a five-year survival rate of only seven percent.

“Right now, we still treat pancreatic cancers as one entity, while for some other cancers, we personalize treatment based on an individual patient’s tumor genetics or other characteristics,” said the study’s senior author Jen Jen Yeh, MD, a UNC Lineberger member and associate professor and the vice chair for research in the UNC School of Medicine’s Department of Surgery. “We believe these results will set the groundwork for future clinical trials, allow treatments to be assigned based on the subtypes, and guide the development of new therapies.”

The study reveals the most rigorously validated classification system for pancreatic ductal adenocarcinoma to date. Previous studies, including one in 2011 led by Eric A. Collisson, MD, assistant professor at the University of California at San Francisco School of Medicine, have identified subtypes of pancreatic cancer. However, researchers in the current study believe those attempts were confounded by the large amount of surrounding stroma that is intermixed with both normal and cancerous pancreatic tissue.

To solve that problem, UNC Lineberger researchers used a mathematical approach led by Richard Moffitt, PhD, a postdoctoral research associate at UNC Lineberger, to separate the tissue. The approach, called blind source separation, allowed researchers to separate normal tissue from cancerous tissue and from the stroma. Researchers then were able to examine gene expression patterns for each type in tissue samples from five different institutions. They analyzed 145 primary and 61 metastatic tumors, 17 cell lines, as well as 46 normal pancreatic samples and 88 samples of normal, non-cancerous tissue outside of the pancreas.

“The issue is that pancreatic cancer is a particularly difficult cancer to analyze because of its confounding stroma, so we needed to marry the right data analysis technique to the right problem,” Moffitt said.

The researchers uncovered two subtypes of pancreatic stroma that they called “normal” and “activated.” Patients with the activated subtype had worse survival outcomes.

“This study helps make sense of researchers’ conflicting findings about stroma – that it can either promote or be a barrier to tumor spread,” Yeh said. “We are seeing two distinct types of stroma in patients.”

Analysis also revealed two subtypes of pancreatic cancer tumors. One subtype, called “basal-like,” is linked to worse outcomes for patients. Forty-four percent of patients with the basal-like subtype lived one year after surgery, compared to a 70 percent survival for patients with other subtype, which they called “classical.”  Basal-like tumors also trended toward a better response to adjuvant therapy.

“If we know that your tumor is aggressive, then it may be important to treat your whole body first with neoadjuvant therapy, which is therapy given prior to surgery, as opposed to just trying to remove the tumor with surgery at the outset,” said Yeh, who, in addition to her role in the Department of Surgery, also has an appointment in the UNC School of Medicine Pharmacology Department. “In addition, the basal-like subtype is very similar to basal breast and bladder cancers, which respond to therapies differently than other tumor subtypes, so we are very interested in seeing whether or not this is true for pancreatic cancer as well.”

Overall, the findings suggest that treatment decisions should be based on both a patient’s stroma and tumor subtype. Yeh said the researchers will be launching clinical trials to investigate how patients with the different subtypes respond to treatment.

“For pancreatic cancer in particular, it’s a race against the clock,” Yeh said. “Every therapy counts, so you want your first therapy to work. With this cancer, you don’t have a lot of time to try different therapies. If a patient is given a therapy that is unsuccessful, that is time in which the patient’s disease has progressed. So the goal is to start patients on the right therapy from the get-go.”

The study was supported in part by the National Cancer Institute, the University Cancer Research Fund, the Sidney Kimmel Foundation, the American College of Surgeons, and a UNC Lineberger Comprehensive Cancer Center Postdoctoral Training Grant.

In addition to Yeh, Moffitt and Williams, UNC study authors include Raoud Marayati, Elizabeth L. Flate, S. Gabriela Herrera Loeza, Katherine A. Hoadley, Naim U. Rashid and Jadwiga K. Smyla, of UNC Lineberger; Samuel C. Eaton of the UNC School of Medicine Department of Pharmacology; and Alexander H. Chung of the UNC School of Medicine Department of Pharmacology. Keith E. Volmar, of Rex Healthcare, is a co-author. Hoadley also is affiliated with the UNC Department of Genetics.

Other co-authors are from the Eppley Institute of the University of Nebraska Medical Center; the Robert H. Lurie Comprehensive Cancer Center of Northwestern University and the Feinberg School of Medicine; the NorthShore University Health System Department of Surgery; and the Memorial Sloan-Kettering Cancer Center Human Oncology and Pathogenesis Program and the David Rubenstein Center for Pancreatic Cancer Research.



Gillings School of Global Public Health contact: David Pesci, director of
communications, (919) 962-2600 or dpesci@unc.edu
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