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Poster session 01

110P - Characteristics and survival outcomes of patients (pts) with RET fusion-positive (RET-fp) solid tumours receiving non-RET inhibitor (RETi) therapy in a real-world setting

Date

10 Sep 2022

Session

Poster session 01

Topics

Cancer Intelligence (eHealth, Telehealth Technology, BIG Data);  Molecular Oncology

Tumour Site

Presenters

Pilar Garrido Lopez

Citation

Annals of Oncology (2022) 33 (suppl_7): S27-S54. 10.1016/annonc/annonc1037

Authors

P. Garrido Lopez1, S. Siena2, M. Taylor3, A. Beringer4, W. Bordogna5, O. Fajardo6, C. Nikolaidis7

Author affiliations

  • 1 Department Of Medical Oncology, Ramón y Cajal University Hospital, 28034 - Madrid/ES
  • 2 Department Of Oncology And Hemato-oncology, Università degli Studi di Milano, and Niguarda Cancer Center, Grande Ospedale Metropolitano Niguarda, Milan/IT
  • 3 Earle A. Chiles Research Institute, Providence Portland Medical Center, Portland/US
  • 4 Global Product Development Medical Affairs Oncology, F. Hoffmann-La Roche Ltd, Basel/CH
  • 5 Global Product Development Medical Affairs Oncology, F. Hoffmann-La Roche Ltd, 4070 - Basel/CH
  • 6 Product Development Data Sciences, F. Hoffmann-La Roche AG, 4070 - Basel/CH
  • 7 Product Development Data Sciences, F. Hoffmann-La Roche Ltd, 4070 - Basel/CH

Resources

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Abstract 110P

Background

RET alterations are oncogenic drivers in multiple solid tumours and can be targeted with effective and well tolerated RETis. The genomic landscape and natural history of pts whose tumours harbour RET fusions is unknown. We describe the clinical and demographic profiles of pts with RET-fp metastatic solid tumours receiving non-RETi therapy in a real-world setting and assess the value of RET fusions as prognostic biomarkers.

Methods

Demographics and clinical data for RETi-naïve pts with metastatic solid tumours (excluding non-small cell lung cancer) and ≥1 DNA Foundation Medicine NGS test (1 Jan 2012 – 31 Dec 2021) were obtained from the nationwide de-identified Flatiron Health and Foundation Medicine multi-tumour clinicogenomic database (CGDB). The overall survival (OS) of RET-fp pts was compared with that of matched RET-WT pts. Mahalanobis distance matching (two models) was used to match RET-WT pts with RET-fp pts 4:1, using preselected covariates. Model 1: pts matched based on age, gender, race, practice type, tumour type and ECOG PS. Model 2: pts matched based on all Model 1 covariates, plus lines of therapy since initial diagnosis of metastatic disease and time from initial diagnosis to NGS test.

Results

Overall, 10,174 pts had RET-WT and 27 pts had RET-fp tumours. Median OS was numerically lower in pts with RET-fp (6.6 months [95% CI 2.2–10.5]) vs those with matched RET-WT tumours (n=108; 11.4 months [95% CI 7.9–16.8]; Model 1, HR: 1.61 [95% CI 0.98–2.65]; Model 2, HR: 1.52 [95% CI 0.93–2.48]). Pt characteristics are shown in the Table; known oncogenic co-alterations were uncommon in RET-fp pts. Table: 110P

RET-WT (n=10,174) Matched RET-WT (n=108) RET-fp (n=27)
Age, mean (SD) 62.6 (11.9) 65.8 (8.8) 64.7 (10.1)
ECOG PS, %
0–1 56.4 58.3 55.6
≥2 12.2 3.7 3.7
Missing 31.4 38.0 40.7
Practice type, %
Community 11.5 11.1 11.1
Academic 88.5 88.9 88.9
Previous lines of therapy, %
0–2 60.1 51.9 51.9
≥3 16.6 3.7 3.7
Missing 23.3 44.4 44.4
Tumour type (RET-fp N≥3), %
Colorectal 35.9 29.6 29.6
Pancreatic 16.6 14.8 14.8
Thyroid 1.0 14.8 14.8
Breast 14.8 11.1 11.1
Neuroendocrine 3.9 11.1 11.1
Co-occurring biomarkers, %
NTRK 0.2 0 0
ROS1 0.2 0 0
ALK 0.2 0 0
BRAF 5.0 5.6 0
EGFR 0.9 1.9 0
KRAS 33.7 28.7 0
MET 0.1 0 0
ERBB2 3.3 2.8 7.4
Tumour mutational burden, %
Low 54.5 54.6 33.3
Intermediate 17.2 20.4 25.9
High 2.0 1.9 7.4
Missing 26.2 23.1 33.3

Conclusions

This study selected a small cohort of RETi-naïve pts in the CGDB. Despite the small sample, pts with RET-fp tumours had numerically higher risk of death vs pts with RET-WT tumours. This highlights the unmet need for effective RETi therapies that could improve the survival of pts with RET-fp metastatic solid tumours.

Clinical trial identification

NCT03037385.

Editorial acknowledgement

Medical writing support for the development of this abstract, under direction of the authors, was provided by Claire White, PhD, of Ashfield MedComms, an Ashfield Health company, and was funded by F. Hoffmann-La Roche Ltd.

Legal entity responsible for the study

F. Hoffmann-La Roche Ltd.

Funding

F. Hoffmann-La Roche Ltd.

Disclosure

P. Garrido Lopez: Financial Interests, Personal, Invited Speaker: AstraZeneca, Janssen, MSD, Medscape, Novartis, Pfizer, Roche, Takeda, Touchtime; Financial Interests, Personal, Advisory Board: AbbVie, Amgen, AstraZeneca, Bayer, GlaxoSmithKline, Janssen, Lilly, MSD, Novartis, Pfizer, Roche, Takeda, Sanofi. S. Siena: Financial Interests, Personal, Advisory Board: Agenus, AstraZeneca, Bayer, BMS, CheckmAb, Daiichi Sankyo, Guardant Health, Menarini, Merck, Novartis, Roche-Genentech, Seagen. M. Taylor: Financial Interests, Personal, Advisory Board: Bristol Myers Squibb, Eisai Inc., Novartis, Merck, Pfizer, Bayer, Sanofi/Genzyme, Regeneron, Bayer, Loxo Oncology, Blueprint Medicines, Immuneonc, Exelixis, Cascade Prodrug; Financial Interests, Personal, Speaker’s Bureau: Bristol Myers Squibb, Eisai Inc., Merck, Blueprint Medicines. A. Beringer: Financial Interests, Personal, Stocks/Shares: F. Hoffmann-La Roche AG; Financial Interests, Personal, Full or part-time Employment: F. Hoffmann-La Roche AG. W. Bordogna: Financial Interests, Personal, Stocks/Shares: F. Hoffmann-La Roche Ltd.; Financial Interests, Personal, Full or part-time Employment: F. Hoffmann-La Roche Ltd. O. Fajardo, C. Nikolaidis: Financial Interests, Personal, Full or part-time Employment: F. Hoffmann-La Roche Ltd.

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