Purpose

GI stromal tumors (GISTs) are commonly associated with somatic mutations in KIT and PDGFRA. However, a subset arises from mutations in NF1, most commonly associated with neurofibromatosis type 1. We define the anatomic distribution of NF1 alterations in GIST.

Methods

We describe the demographic/clinicopathologic features of 177 patients from two institutions whose GISTs underwent next-generation sequencing of ≥315 cancer-related genes.

Results

We initially identified six (9.7%) of 62 GISTs with NF1 genomic alterations from the first cohort. Of these six patients, five (83.3%) had unifocal tumors at the duodenal-jejunal flexure (DJF). Two additional patients with DJF GISTs had non-NF1 (KIT and BRAF) genomic alterations. After excluding one DJF GIST with an NF1 single nucleotide polymorphism, four (57.1%) of seven sequenced DJF tumors demonstrated deleterious NF1 alterations, whereas only one (1.8%) of 55 sequenced non-DJF GISTs had a deleterious NF1 somatic mutation (P < .001). One patient with DJF GIST had a germline NF1 variant that was associated with incomplete penetrance of clinical neurofibromatosis type 1 features along with a somatic NF1 mutation. Of the five DJF GISTs with any NF1 alteration, three (60%) had KIT mutations, and three (60%) had Notch pathway mutations (NOTCH2, MAML2, CDC73). We validated these findings in a second cohort of 115 GISTs, where two (40%) of five unifocal NF1-mutated GISTs arose at the DJF, and one of these also had a Notch pathway mutation (EP300).

Conclusion

Broad genomic profiling of adult GISTs has revealed that NF1 alterations are enriched in DJF GISTs. These tumors also may harbor concurrent activating KIT and/or inactivating Notch pathway mutations. In some cases, germline NF1 genetic testing may be appropriate for patients with DJF GISTs.

Purpose

Gastrointestinal stromal tumors (GIST) commonly arise in different regions of the stomach and are driven by various mutations (most often in KIT, PDGFRA, and SDHx). We hypothesized that the anatomic location of gastric GIST is associated with unique genomic profiles and distinct driver mutations.

Experimental design

We compared KIT versus non-KIT status with tumor location within the National Cancer Database (NCDB) for 2,418 patients with primary gastric GIST. Additionally, we compiled an international cohort (TransAtlantic GIST Collaborative, TAGC) of 236 patients and reviewed sequencing results, cross-sectional imaging, and operative reports. Subgroup analyses were performed for tumors located proximally versus distally. Risk factors for KIT versus non-KIT tumors were identified using multivariate regression analysis. A random forest machine learning model was then developed to determine feature importance.

Results

Within the NCDB cohort, non-KIT mutants dominated distal tumor locations (P < 0.03). Proximal GIST were almost exclusively KIT mutant (96%) in the TAGC cohort, whereas 100% of PDGFRA and SDH-mutant GIST occurred in the distal stomach. On multivariate regression analysis, tumor location was associated with KIT versus non-KIT mutations. Using random forest machine learning analysis, stomach location was the most important feature for predicting mutation status.

Conclusions

We provide the first evidence that the mutational landscape of gastric GIST is related to tumor location. Proximal gastric GIST are overwhelmingly KIT mutant, irrespective of morphology or age, whereas distal tumors display non-KIT genomic diversity. Anatomic location of gastric GIST may therefore provide immediate guidance for clinical treatment decisions and selective confirmatory genomic testing when resources are limited.