Abstract 5203
Background
Breast cancers display substantial inter/intra-tumor heterogeneity. While numerous fusion genes have been identified, most are found to be subclonal, passenger alterations. To discover fusion genes which drive tumor progression and metastasis, we performed RNA-sequencing of matched primary and metastatic breast cancer samples.
Methods
RNA-sequencing was performed from sixteen patients matched primary-recurrent tumor tissue and RNA-sequencing data was successfully achieved from sixteen primary tumors and eight recurrent tumors. DeFuse program was used to identify fusion transcripts (FT).
Results
Among the sixteen patients, six were hormone receptor positive, three were HER2 positive and seven were triple negative tumors. Three cases displayed loco-regional recurrence only and other patients had distant metastases. Overall, 516 fusion transcripts were identified. Mean numbers of fusions in primary and recurred tumors were 28 and 14.6 FTs per sample. Numbers of fusions were greater in two cases with BRCA1 pathogenic germline mutations while no significant differences were observed across subtypes. Novel inter-chromosomal fusion transcript, BCL2-ESR1, CSMD1-ESR1 and HPGDS-ESR1 were found in one hormone receptor positive patient’s metastasis and/or primary tumor. All fusions resulted in preservation of the DNA-binding domain and ligand-binding domain (exon4-10) of the ESR1 gene, with high ESR1 FPKM expression value. Fusions of ERBB2-, MALAT1- and CDK6- genes were found. Among the identified FTs, three cases harbored a previously reported recurrent fusion transcript EEF1DP3-FRY.
Conclusions
RNA sequencing revealed numerous fusion transcripts. Among them we found novel fusions including ESR1 fusions which need further validation and functional annotation to confirm their role in tumor progression and metastasis.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Asan Medical Center.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
4732 - Progesterone Receptor Isoform Ratio Dictates Antiprogestins/Progestins Effects on Metastatic Breast Cancer Models
Presenter: Maria Abascal
Session: Poster Display session 2
Resources:
Abstract
5737 - PAM50 and CGH-array genomic characterization of HER2-Equivocal Breast Cancers defined by the 2018 ASCO/CAP recommendations.
Presenter: Carine Ngo
Session: Poster Display session 2
Resources:
Abstract
1096 - OncotypeDX® predictive nomogram for recurrence score output: a machine learning system based on quantitative immunochemistry analysis - ADAPTED01
Presenter: Fabio Marazzi
Session: Poster Display session 2
Resources:
Abstract
5426 - Geriatric parameters predict both disease-related and patient-reported outcomes in older patients with breast cancer
Presenter: Willeke van der Plas-Krijgsman
Session: Poster Display session 2
Resources:
Abstract
5865 - Patients with a 21-gene assay in South East London differ from the TAILORx trial population
Presenter: Charalampos Gousis
Session: Poster Display session 2
Resources:
Abstract
1312 - Predictive tools in adjuvant breast cancer – what is the standard of evidence supporting their utility? A literature review examining validation of Adjuvant!, Cancermath and NHS Predict
Presenter: Alice Loft
Session: Poster Display session 2
Resources:
Abstract
2445 - Oncologic outcome of invasive lobular carcinoma: Is it different from that of invasive ductal carcinoma?
Presenter: Hee Jun Choi
Session: Poster Display session 2
Resources:
Abstract
2476 - Pathologic response and survival efficacy in patients with initial nodal involvement after neoadjuvant chemotherapy in early breast cancer
Presenter: SERAFIN MORALES Murillo
Session: Poster Display session 2
Resources:
Abstract
3761 - Chemotherapy-induced amenorrhea: prognostic impact on premenopausal Egyptian patients with breast cancer
Presenter: Khaled Abdel Karim
Session: Poster Display session 2
Resources:
Abstract
4687 - Predicting the presence of breast cancer using circulating small RNA in the serum
Presenter: Yumiko Koi
Session: Poster Display session 2
Resources:
Abstract