Abstract 167P
Background
GISTs are rare soft tissue neoplasms harboring, in most cases, activating mutations in KIT and PDGFRA genes. The aim of this study is to describe the molecular characteristics of GIST samples from Regina Elena National Cancer Institute.
Methods
We collected sequencing data from 153 samples from GIST patients between January 2017 and March 2023. Next generation sequencing was performed on samples derived from surgical excision or biopsy of the primary or metastatic lesions. The Ion AmpliSeq Cancer Hotspot panel V2 and the Oncomine Focus Assay (Thermofisher Scientific) were used. The analysis was performed with R-4.2.2 and oncokb-annotator.
Results
The top 5 mutated genes were KIT (69% of the cases), TP53 (63%), PDGFRA (20%), KDR (20%), and PIK3CA (17%); the median number of variants per sample was 3. The most affected exons in KIT were 11 (51%), 9 (13.9%), 10 (13.3%); exon 17 harbored 3.3% of the variants; exon 13 1.3%. The most affected exons in PDGFRA were 18 (36.6%) and 10 (34.1%); the mutations in exons 14 and 12 accounted, respectively, for 7.3% and 4.9% of the cases. We annotated the variants according to OncoKB Therapeutic Levels of Evidence V2: 74 out of 631 total variants (11.7%) were annotated as oncogenic, 86 (13.6%) as likely oncogenic, 14 (2.2%) as likely neutral and 457 (72.4%) as inconclusive or unknown. Among the 160 oncogenic or likely oncogenic variants, 103 (64.4%) had a therapeutic level 1, 18 (11.3%) level 2, 9 (5.6%) level R1, 5 (3.1%) level R2. As for the KIT gene, 90 of the 151 variants (59.6%) were annotated as oncogenic or likely oncogenic, all of them had a therapeutic level 1, 5 (3.3%) had level R2. Regarding the PDGFRA gene, 14 out of 41 variants (34.1%) were annotated as oncogenic or likely oncogenic, all but one had a therapeutic level 1, 14 level 2, 9 level R1. The remaining oncogenic or likely oncogenic variants affected the following genes: KDR (19.4%), TP53 (8.8%), CTNNB1, JAK2, FBXW7, GNAS, NF1, PIK3CA, RB1, RET; 2 of them had a therapeutic level 3B, 1 level 4.
Conclusions
Most of the recorded variants were in KIT and PDGFRA genes. More than half of them are oncogenic and targetable. Notably, we found other oncogenic variants that can have a role in the development of the disease and in the onset of resistance to the treatment.
Editorial acknowledgement
Clinical trial identification
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
B. Casini: Financial Interests, Personal, Other: Novartis, GSK.V. Ferraresi: Financial Interests, Personal, Invited Speaker: Novartis, Pierre Fabre, Bristol Myers Squibb, MSD, PharmaMar. All other authors have declared no conflicts of interest.
Resources from the same session
93P - A new platform for fast-track molecular stratification of endometrial carcinomas enabling timely treatment decisions in precision oncology
Presenter: Susanne Walz
Session: Cocktail & Poster Display session
Resources:
Abstract
94P - Harnessing circulating tumor DNA in bronchoalveolar lavage fluid for precise molecular diagnosis of NSCLC
Presenter: Frank Borm
Session: Cocktail & Poster Display session
Resources:
Abstract
95P - Automatic data processing to identify EGFR mutations in pathology reports of patients with non-small cell lung cancer (NSCLC)
Presenter: Betzabel Cajiao Garcia
Session: Cocktail & Poster Display session
Resources:
Abstract
96P - Analysis of concordance between microsatellite instability by next generation sequencing (NGS-MSI) and mismatch repair deficiency by immunohistochemistry (IHC-MMR) in endometrial cancer (EC) patients
Presenter: Simona Duranti
Session: Cocktail & Poster Display session
Resources:
Abstract
97P - Prospects of liquid biopsy in determining prognosis in children with HGG and DIPG
Presenter: Olga Regentova
Session: Cocktail & Poster Display session
Resources:
Abstract
98P - Liquid biopsy in NSCLC: A promising tool to predict immunotherapy response
Presenter: Ana Fernández
Session: Cocktail & Poster Display session
Resources:
Abstract
99P - Comprehensive genomic sequencing as an ancillary diagnostic tool for pathologists
Presenter: Dan Miller
Session: Cocktail & Poster Display session
Resources:
Abstract
100P - Standard serum biomarkers to help predict a cancer diagnosis in patients with non-specific symptoms: Data from Guy´s rapid diagnostic clinic
Presenter: Maria Monroy Iglesias
Session: Cocktail & Poster Display session
Resources:
Abstract
101P - Patient-derived organoids to optimize CDK4/6 inhibitor-based treatment selection in early breast cancer
Presenter: Carla Alves
Session: Cocktail & Poster Display session
Resources:
Abstract
102P - MicroRNAs in urine and saliva as non-invasive biomarkers of minimal residual disease in pediatric acute lymphoblastic leukemia
Presenter: Alejandra Pando-Caciano
Session: Cocktail & Poster Display session
Resources:
Abstract