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Poster session 01

105P - Pan-tumor survey of ROS1 fusions detected by next-generation RNA sequencing

Date

10 Sep 2022

Session

Poster session 01

Topics

Genetic and Genomic Testing

Tumour Site

Presenters

Shannon Zhang

Citation

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

Authors

S. Zhang1, M. Nagasaka2, Y. Baca3, J. Xiu4, J.J. nieva5, A. VanderWalde4, J.J. Swensen3, D. Spetzler3, W..M. Korn6, S. Liu7, S.I. Ou8

Author affiliations

  • 1 Medicine Department, UCI Health - University of California Irvine, 92868 - Orange/US
  • 2 Medicine, UCI Health - University of California Irvine, 92868 - Orange/US
  • 3 Clinical And Translational, Caris Life Sciences, 85040 - Phoenix/US
  • 4 Clinical And Translational, Caris Life Sciences, 85054 - Phoenix/US
  • 5 Department Of Oncology, USC - University of Southern California - Norris Comprehensive Cancer Center, 90033 - Los Angeles/US
  • 6 Medicine Department, UCSF-Diller Cancer Research Building, Mount Zion, 94115 - San Francisco/US
  • 7 Oncology, Lombardi Cancer Center Georgetown University, 20007 - Washington/US
  • 8 Medicine Department, UCI Health Chao Family Comprehensive Cancer Center, 92868 - Orange/US

Resources

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Abstract 105P

Background

Two ROS1 tyrosine kinase inhibitors have been approved for ROS1 fusion-positive (ROS1+) non-small cell lung cancer (NSCLC). We performed a pan-tumor analysis of the incidence and characteristics of ROS1 fusions across all solid tumors.

Methods

A retrospective analysis was performed on ROS1-positive solid malignancies identified by targeted RNA sequencing and whole transcriptome sequencing of clinical tumor samples through Caris Life Science (Phoenix, AZ). Real-world overall survival (rwOS) was obtained from insurance claims data and calculated from either tissue collection to last contact or time on treatment (TOT) from start to finish of ICI. Comparison of survival was performed by Kaplan-Meier analysis.

Results

A total of 259 ROS1+ samples across 17 distinct solid malignancies were identified from approximately 175,350 tumors that underwent sequencing (88% from whole transcriptome; 12% from targeted RNA; (Table). ROS1+ NSCLC constituted 78.8% of the ROS1+ solid malignancies, followed by glioblastoma (6.9%) and breast cancer (2.7%). The frequency of ROS1 fusion was approximately 0.47% among NSCLC, 0.29% for glioblastoma and 0.04% for breast cancer. The mean tumor mutation burden for all ROS1+ tumors was 4.8 mutations/Mb (SD 2.8). The distribution of PD-L1 (22C3) expression among all ROS1+ malignancies were 0% (18.6%), 1%-49% (29.4%), and > 50% (52.0%). The mean junctional read among all tumor types was 54.7 with NSCLC at 64.0 (SD 107.77), glioblastoma at 32.2 (SD 55.12) and breast cancer at 6.7 (SD 5.20). The most common genetic co-alterations of ROS1+ NSCLC were TP53 (29.1%) and SETD2 (7.3%). Although the analysis was limited in sample size, ROS1+ in glioblastoma may represent a potential poor prognostic factor (HR 0.56 95% CI: 0.23-1.35, p=0.19). Also, treatment with immunotherapy in ROS1+ fusions demonstrated shorter survival than those treated with ROS1 TKIs (HR 2.77 95% CI: 0.85-9.03, p=0.08). Table: 105P

All NSCLC Glioblastoma Breast
N 259 204 18 7
Age median(range) 63 (18-89) 65 (27-89) 63 (41-89) 60 (40-77)
Male 113 86 11 0
Female 146 118 7 7
Sequencing methods
Targeted RNA (Archer) 55 49 4 1
WTS 204 155 14 6
Mean junction read 54.7 64.0 32.2 6.7
TMB (median) 4 4 3 5

Conclusions

ROS1 fusions occurred at a low frequency among a diverse range of solid tumors.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

M. Nagasaka: Financial Interests, Personal, Advisory Board: AstraZeneca, Caris Life Sciences, Daiichi Sankyo, Novartis, EMD Serono, Janssen, Pfizer, Genentech, Mirati, Regeneron, Silverback; Financial Interests, Personal, Invited Speaker: Takeda, Blueprint; Financial Interests, Personal, Expert Testimony: Lilly; Financial Interests, Personal, Other, Travel: AnHeart. Y. Baca: Financial Interests, Personal, Stocks/Shares: Caris Life Sciences. J. Xiu: Financial Interests, Personal, Stocks/Shares: Caris Life Sciences. J.J. nieva: Financial Interests, Personal and Institutional, Research Grant: Merck, Genentech; Financial Interests, Personal, Advisory Board: Mindmed, AstraZeneca, Naveris, G1 Therapeutics, Aadi Biosciences; Financial Interests, Personal, Ownership Interest: Epic Sciences, Quantgene, Indee Bio. A. VanderWalde: Financial Interests, Personal and Institutional, Research Grant: Merck, Genentech; Financial Interests, Personal, Advisory Board: Mindmed, AstraZeneca, Naveris, G1 Therapeutics, Aadi Biosciences; Financial Interests, Personal, Ownership Interest: Epic Sciences, Quantgene, Indee Bio. J.J. Swensen: Financial Interests, Personal, Stocks/Shares: Caris Life Sciences. D. Spetzler: Financial Interests, Personal, Stocks/Shares: Caris Life Sciences. W.M. Korn: Financial Interests, Personal, Stocks/Shares: Caris Life Sciences. S.V. Liu: Financial Interests, Personal, Advisory Board: Amgen, AstraZeneca, Bayer, Beigene, Blueprint, Bristol Myers Squibb, Boehringer Ingelheim, Daiichi Sankyo, Eisai, Elevation Oncology, Genentech/ Roche, Gilead, Guardant Health, Janssen, Jazz Pharmaceuticals, Lilly, Merck/MSD, Novartis, Regeneron, Sanofi, Takeda, Turning Point Therapeutics; Financial Interests, Institutional, Research Grant: Alkermes, Bayer, Blueprint, Bristol Myers Squibb, Elevation Oncology, Genentech, Gilead, Merck, Merus, Nuvalent, Pfizer, Rain Therapeutics, RAPT, Turning Point Therapeutics. S.I. Ou: Financial Interests, Personal, Invited Speaker: Pfizer, Roche; Financial Interests, Personal, Advisory Board: JNJ/Janssen, Elevation Oncology; Financial Interests, Personal, Stocks/Shares: Turning Point Therapeutics, Elevation Oncology; Financial Interests, Institutional, Invited Speaker: Pfizer, Mirati, JNJ/jassen, Merus. All other authors have declared no conflicts of interest.

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