Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 01

183P - Frequency of actionable fusions in 7,735 patients with solid tumors

Date

21 Oct 2023

Session

Poster session 01

Topics

Laboratory Diagnostics;  Pathology/Molecular Biology;  Translational Research;  Targeted Therapy;  Genetic and Genomic Testing;  Rare Cancers

Tumour Site

Renal Cell Cancer;  Ovarian Cancer;  Small Cell Lung Cancer;  Melanoma;  Thyroid Cancer;  Gastric Cancer;  Urothelial Cancer;  Endometrial Cancer;  Soft Tissue Sarcomas;  Breast Cancer;  Cervical Cancer;  Mesothelioma;  GIST;  Adrenal Carcinoma;  Carcinoma of Unknown Primary Site (CUP);  Prostate Cancer;  Thymoma and Thymic Cancer;  Central Nervous System Malignancies;  Colon and Rectal Cancer;  Head and Neck Cancers

Presenters

Kevin McDonnell

Citation

Annals of Oncology (2023) 34 (suppl_2): S233-S277. 10.1016/S0923-7534(23)01932-4

Authors

K.J. McDonnell1, J.R. Hoag2, C. Flannery2, D. Hall3, M.C. Evans4, A. Akkunuri4, S. Thakkar3, J.R. Lobello5, G.D. Basu5, R.F.L. Baehner5, J.D. Bonner1, S.S. Lindsey1, C. Hong1, X. Xia1, S. Gray1, S.B. Gruber1

Author affiliations

  • 1 Center For Precision Medicine, City of Hope Comprehensive Cancer Center, 91010 - Duarte/US
  • 2 Clinical Biostatistics, Exact Sciences Corporation, 53719 - Madison/US
  • 3 Precision Oncology, Exact Sciences Corporation, 94063 - Redwood City/US
  • 4 Bioinformatics, Exact Sciences Corporation, 53719 - Madison/US
  • 5 Precision Oncology, Exact Sciences Corporation, Redwood City/US

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 183P

Background

Identifying rare oncogenic gene fusions can be challenging. Comprehensive genomic profiling (CGP) approaches that include RNA sequencing can improve fusion detection versus exome or targeted DNA sequencing alone. Here, we characterize gene fusions in solid tumors detected with the OncoExTraTM tumor-normal, whole-exome (WES), whole-transcriptome (WTS) CGP assay.

Methods

The study included oncology patients with solid tumor samples tested with the OncoExTra assay between May 2018 and November 2022. We quantified the frequency of all potentially clinically-relevant fusions, including those with therapeutic, clinical trial eligibility, prognostic or diagnostic implications, and the subset of these with FDA-approved therapies at the time of testing.

Results

Overall, 7,735 patients and 33 tumor types were included. We identified 931 (12.0%) patients with clinically-relevant fusions, 224 (2.9%) of whom had a fusion associated with an FDA-approved therapy, with large variation in frequency across tumor types (Table). Sarcomas had one of the highest proportions (34.4%) of fusions identified, many of which are diagnostic or prognostic: PAX3/7-FOXO1 (n=17), SS18-SSX (n=10), CIC-DUX4 (n=8), and MDM2 (n=6). We also detected fusions in 189 (9.5%) breast (including 43 with ESR1, 13 with ERBB2, 12 with FGFR family), 33 (3.4%) colorectal (including 5 RSPO, 3 RET), and 29 (9.9%) non-small cell lung (including 10 ALK, 5 RET, 3 ERBB2) cancer patients. Across all cancers, ERG (3.0%) was the most common fusion partner, found predominantly in prostate cancer patients. Other notable fusions involved ESR1 (n=64); RAF family (n=30); NTRK family (n=27); and RSPO family (n=12).

Conclusions

Oncogenic gene fusions, including those with FDA-approved therapies, were identified with varying frequency across solid tumors. Sarcomas had a high proportion of fusions, including those with therapeutic, diagnostic and prognostic relevance. Table: 183P

Gene fusions in select tumor types

Tumor type Patients, n (%) Total fusions, n (% of patients) Fusions with FDA-approved therapies, n (% of patients)
Breast 1989 (25.7%) 189 (9.5%) 65 (3.3%)
Colorectal 975 (12.6%) 33 (3.4%) 9 (0.9%)
Prostate 582 (7.5%) 277 (47.6%) 7 (1.2%)
Ovary 389 (5.0%) 21 (5.4%) 4 (1.0%)
Sarcoma 326 (4.2%) 112 (34.4%) 16 (4.9%)
NSCLC 293 (3.8%) 29 (9.9%) 18 (6.1%)
Brain 274 (3.5%) 41 (15.0%) 22 (8.0%)
Bladder 197 (2.5%) 14 (7.1%) 6 (3.0%)
Thyroid 132 (1.7%) 17 (12.9%) 15 (11.4%)
Biliary 93 (1.2%) 16 (17.2%) 11 (11.8%)
All Cancers 7735 (100.0%) 931 (12.0%) 224 (2.9%)

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

Exact Sciences Corporation.

Funding

Exact Sciences Corporation.

Disclosure

J.R. Hoag, C. Flannery, D. Hall, M.C. Evans, A. Akkunuri, S. Thakkar, J.R. Lobello, G.D. Basu: Financial Interests, Personal, Full or part-time Employment: Exact Sciences. S.B. Gruber: Financial Interests, Personal, Ownership Interest: Brogent International. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.