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Updated: May 22, 2026

Genetic Profiling and Genome-Scale Dropout Screening to Identify Therapeutic Targets in Mouse Models of Malignant Peripheral Nerve Sheath Tumor
Published on: August 25, 2023
Mutation profiling identifies numerous rare drug targets and distinct mutation patterns in different clinical
Libero Santarpia1, Yuan Qi, Katherine Stemke-Hale
1Department of Oncology, Translational Research Unit, Hospital of Prato and Istituto Toscano Tumori, 59100, Prato, Italy. lsantarpia@usl4.toscana.it
Abstract:
The mutation pattern of breast cancer molecular subtypes is incompletely understood. The purpose of this study was to identify mutations in genes that may be targeted with currently available investigational drugs in the three major breast cancer subtypes (ER+/HER2-, HER2+, and Triple Negative). We extracted DNA from fine needle aspirations of 267 stage I-III breast cancers. These tumor specimens typically consisted of >80% neoplastic cells. We examined 28 genes for 163 known cancer-related nucleic acid variations by Sequenom technology. We observed at least one mutation in 38 alleles corresponding to 15 genes in 108 (40%) samples, including PIK3CA (16.1% of all samples), FBXW7 (8%), BRAF (3.0%), EGFR (2.6%), AKT1 and CTNNB1 (1.9% each), KIT and KRAS (1.5% each), and PDGFR-α (1.1%). We also checked for the polymorphism in PHLPP2 that is known to activate AKT and it was found at 13.5% of the patient samples. PIK3CA mutations were more frequent in estrogen receptor-positive cancers compared to triple negative breast cancer (TNBC) (19 vs. 8%, p=0.001). High frequency of PIK3CA mutations (28%) were also found in HER2+ breast tumors. In TNBC, FBXW7 mutations were significantly more frequent compared to ER+ tumors (13 vs. 5%, p=0.037). We performed validation for all mutated alleles with allele-specific PCR or direct sequencing; alleles analyzed by two different sequencing techniques showed 95-100% concordance for mutation status. In conclusion, different breast cancer subtypes harbor different type of mutations and approximately 40 % of tumors contained individually rare mutations in signaling pathways that can be potentially targeted with drugs. Simultaneous testing of many different mutations in a single needle biopsy is feasible and allows the design of prospective clinical trials that could test the functional importance of these mutations in the future.
Insights
This study identified common gene mutations in different breast cancer subtypes, finding that 40% of tumors had targetable mutations. This supports using molecular profiling for personalized breast cancer treatment strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Breast cancer comprises distinct molecular subtypes with varying prognoses.
- The mutation landscape across these subtypes is not fully characterized.
- Understanding subtype-specific mutations is crucial for targeted therapy development.
Purpose of the Study:
- To identify actionable mutations in key genes across major breast cancer subtypes: estrogen receptor-positive/HER2-negative, HER2-positive, and triple-negative breast cancer (TNBC).
- To assess the feasibility of simultaneous mutation detection in fine needle aspirates for clinical trial design.
Main Methods:
- DNA extraction from 267 fine needle aspirations of stage I-III breast cancers.
- Sequenom technology used to analyze 28 genes for 163 known cancer-related mutations.
- Validation of detected mutations using allele-specific PCR or direct sequencing.
Main Results:
- Mutations were found in 40% of samples across 15 genes.
- PIK3CA mutations were most common (16.1%), particularly in ER+ and HER2+ subtypes.
- FBXW7 mutations were more frequent in TNBC compared to ER+ breast cancer.
- PHLPP2 polymorphism, activating AKT, was observed in 13.5% of samples.
Conclusions:
- Distinct breast cancer molecular subtypes exhibit unique mutation profiles.
- Approximately 40% of breast cancers harbor targetable mutations in signaling pathways.
- Multiplex mutation testing on fine needle aspirates is feasible for guiding future clinical trials.
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