Key Protein Linked to Pancreatic Cancer Uncovered
In vitro and mouse model studies reveal that the aberrant expression of the Engrailed-1 (EN1) protein accelerates the progression and metastasis of pancreatic cancer. ()
Pancreatic cancer is the No. 3 cause of cancer-related deaths in the United States, and only 12% of patients survive five years after being diagnosed. Severe pancreatic cancer is associated with metastasis, and it is this spread of secondary tumors that usually causes death, but little is known about the molecular mechanisms that drive metastasis.
Novel Epigenetic Factor Linked to Pancreatic Cancer
"We identified a novel epigenetic factor that can contribute to metastasis in pancreatic cancer, which is one of the most challenging cancers to treat," said Chang-Il Hwang, an assistant professor in the UC Davis Department of Microbiology and Molecular Genetics and a senior author on the paper. "A better understanding of these mechanisms would allow us to identify potential targets and improve patient survival."‘High levels of EN1 are linked to advanced and metastatic pancreatic cancer in human patients, indicating EN1 could be a promising target for pancreatic cancer therapies. #worldcancerday #pancreaticcancer’
Metastasis is an important component of pancreatic cancer progression, but researchers have not been able to identify genetic mutations responsible for it. For this reason, Hwang thought that nongenetic factors, such as epigenetic changes or altered protein production, might be at play. His team previously identified several transcription factors - proteins that control the production of other proteins - that are elevated in pancreatic cancers that have undergone metastasis compared to primary tumors.
One of these proteins, EN1, is essential for the survival of neurons during development and is not usually produced in adult pancreatic cells. EN1 has been shown to promote aggressive forms of breast cancer, and it is also associated with poor prognosis in other cancers, including glioblastoma and salivary gland adenoid cystic carcinoma, but its role in pancreatic cancer had not previously been described.
The researchers tested whether inhibiting EN1 or ramping up its expression impacted the growth and survival of pancreatic cancer "organoids" - three-dimensional clumps of lab-grown tissue. They found that, without EN1, pancreatic cancer cells were less likely to survive and divide, but adding extra EN1 increased the tumors' survival. Furthermore, when the researchers genetically modified mouse pancreatic cancer cell lines so that they produced more EN1 than usual, the cells showed increased rates of cell invasion and migration, key features of metastasis.
"It's very clear that EN1 is a really important factor behind the aggressiveness of pancreatic cancer," said first author Jihao (Reno) Xu, a doctoral candidate in the Biochemistry, Molecular, Cellular and Development Biology graduate group. "When we take the tumor cells and make them overexpress EN1, they become more metastatic and aggressive, and when we knock it down, they become less metastatic."
By analyzing publicly available patient databases, the researchers also showed that EN1 is important for prognosis in human pancreatic cancer. They found that EN1 levels were elevated in a subset of patients with advanced pancreatic cancer, and that patients with elevated EN1 tended to have worse prognoses.
"Patients with high levels of EN1 have shorter survival times, which suggests that it is contributing to the aggressiveness of pancreatic cancer," said Hwang.
Now, Hwang, Xu and their colleagues are working on ways to translate their findings into the clinic by testing different ways to target EN1. They also plan to continue investigating other nongenetic factors that might contribute to pancreatic cancer progression.
"Ultimately, we want to identify new therapeutic strategies to tackle this disease," Xu said.
Reference:
- A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories - (https:onlinelibrary.wiley.com/doi/10.1002/advs.202308537)