PHILADELPHIA – Casting one of the largest genomic nets to date for the rare tumors of the autonomic nervous system known as pheochromocytoma and paraganglioma (PCC/PGL) captured several new mutations driving the disease that could serve as potential drug targets, researchers from
Penn Medicine and other institutions
reported this week in
Cancer Cell.
Analyzing genetic data of 173 patients from The Cancer Genome Atlas, researchers, including senior author Katherine Nathanson, MD, a professor in the division of Translational Medicine and Human Genetics at the Perelman School of Medicine at the University of Pennsylvania and associate director for Population Science at Penn’s Abramson Cancer Center, identified CSDE1 and fusion genes in MAML3 as drivers of the disease, both a first for any cancer type. The researchers also classified PCC/PGL into four distinct subtypes, each driven by mutations in distinct biological pathways, two of which are novel.
“What’s interesting about these tumors is that while they are astonishingly diverse genetically, with both inherited and somatic drivers influencing tumorigenesis, each has a single driver mutation, not multiple mutations,” Nathanson said. “This characteristic makes these tumors ideal candidates for targeted therapy.” Other cancer types typically contain anywhere from two to eight of these driver mutations.
The discovery of these single drivers in PCC/PGL provides more opportunities for molecular diagnosis and prognosis in these patients, particularly those with more aggressive cancers, the authors said.
PGLs are rare tumors of nerve ganglia in the body, whereas PCCs form in the center of the adrenal gland, which is responsible for producing adrenaline. The tumor causes the glands to overproduce adrenaline, leading to elevated blood pressure, severe headaches, and heart palpitations. Both are found in about two out of every million people each year. An even smaller percentage of those tumors become malignant – and become very aggressive. For that group, the five-year survival rate is about 50 percent.
Matthew D. Wilkerson, MD, the Bioinformatics Director at the Collaborative Health Initiative Research Program at the Uniformed Services University, is the paper’s co-senior author.
To identify and characterize the genetic missteps, researchers analyzed tumor specimens using whole-exome sequencing, mRNA and microRNA sequencing, DNA-methylation arrays, and reverse-phase protein arrays. The four molecularly defined subgroups included: a kinase-signaling subtype, a pseudohypoxia subtype, a cortical admixture subtype, and a Wnt-altered subtype. The last two have been newly classified.
The results also provided clinically actionable information by confirming and identifying several molecular markers associated with an increased risk of aggressive and metastatic disease, including germline mutations in SDBH, somatic mutations in ATRX (previously established in a Penn Medicine study), and new gene fusions – a genetic hybrid, of sorts – in MAML3.
Because the MAML3 fusion gene activates the Wnt-altered subtype, the authors said, existing targeted therapies that inhibit the beta-catenin and STAT3 pathways may also prove effective in certain PCC/PGL tumors.
Other mutations identified in the analysis may also serve as potential targets for drugs currently being investigated in other cancers. For example, glutaminase inhibitors are being tested in SDH-mutant tumors, including breast and lung, and ATR inhibitors are being investigated in blood cancers. Today, there are several U.S. Food and Drug Administration-approved targeted therapies for mutations, such as BRAF and FGFR1, among others, also found in PCC/PGL.
“The study gives us the most comprehensive understanding of this disease to date – which we believe will help researchers design better trials and target mutations that will ultimately help improve treatment for these patients,” Nathanson said. “The next step is to focus more on aggressive cancers that metastasize and the drivers behind those tumors.”
Lauren Fishbein, MD, PhD, MTR, a former instructor in the division of Endocrinology, Diabetes and Metabolism at Penn who is now at the University of Colorado Hospital, served as the study’s first author.
The study was supported with grants by the National Institutes of Health (U54 HG003273, U54 HG003067, U54 HG003079, U24 CA143799, U24 CA143835, U24 CA143840, U24 CA143843, U24 CA143845, U24 CA143848, U24 CA143858, U24 CA143866, U24 CA143867, U24 CA143882, U24 CA143883, U24 CA144025, P30 CA016672).
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