Real-world clinical utility of comprehensive genomic and transcriptomic profiling in metastatic breast cancer (mBC).

A Akshara Singareeka Raghavendra (Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA) A Artem Tarasov (BostonGene Corporation, Waltham, MA) J Jason A. Mouabbi (The University of Texas MD Anderson Cancer Center, Houston, TX) A Anastasiya Evdokimova (2BostonGene, 100 Beaver St, United States) V Viktor Smirnov (2BostonGene, 100 Beaver St, United States) K Konstantin Rumyantsev (BostonGene Corporation, Waltham, MA) C Carlos Hernando Barcenas (Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX) R Rachel M. Layman (Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA) E Egor Savin (BostonGene, Houston, TX) B Bora Lim P Paula R. Pohlmann S Senthil Damodaran (Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA) M Michael Hensley (BostonGene Corporation, Waltham, MA) N Neeharika Makani (Bostongene, Waltham, MA) A Anna Ogloblina (BostonGene Corporation, Waltham, MA) N Nathan Hale Fowler (BostonGene Corporation, Waltham, MA) S Sharon H. Giordano A Aleksander Bagaev (12BostonGene Corporation, Waltham, MA) C Clinton Yam D Debasish Tripathy (The University of Texas MD Anderson Cancer Center, Houston, TX)

Abstract

e13080 Background: Integrated DNA/RNA comprehensive genomic profiling (CGP) may expand therapeutic opportunities and support decision-making in metastatic breast cancer (mBC), yet real-world evidence for its clinical utility remains limited. We evaluated the impact of CGP-guided care on treatment decisions and outcomes in a heterogeneous mBC cohort. Methods: A retrospective, single-center analysis of 207 patients with mBC who underwent BostonGene’s Tumor Portrait test. Actionable alterations were defined per NCCN/FDA guidelines or clinical trial eligibility. Clinical utility is defined as CGP-driven treatment initiation or identification of guideline-supported future options was assessed in patients with ≥60 days of follow-up (n = 160). Subgroup analyses evaluated outcomes with trastuzumab deruxtecan (T-DXd), sacituzumab govitecan (SG), or immune checkpoint inhibitors using RNA-seq-based ADC biomarker thresholds, breast cancer classifier (BCC/PAM50), and tumor microenvironment subtypes. Progression-free survival (PFS) was analyzed using Kaplan–Meier methods and Cox regression. Results: The cohort included HR+/HER2− (58%), TNBC (35%), and HER2+ (7%) mBC, with a median of 2 prior therapy (range: 1–11). Overall, 65.5% of patients had actionable molecular alterations, of which 33.9% were supported by NCCN/FDA-approved indications, while the remaining alterations were potentially targetable within clinical trial settings. CGP directly informed treatment initiation in 10% of patients and identified potential future targeted therapy options in an additional 15%. Luminal B and Basal BCC subtypes were consistently associated with inferior PFS outcomes across the cohort. Among patients treated with T-DXd (n = 45), higher HER2 RNA expression was associated with reduced progression risk, whereas Basal and Luminal B subtypes demonstrated worse PFS (p = 0.006). Among patients receiving SG (n = 55), those with TNBC had longer PFS than those with HR-positive mBC, whereas TROP2 RNA expression was uniformly high and not predictive of outcome. Among patients treated with immunotherapy (n = 25), PD-L1 expression was not significantly associated with PFS. Conclusions: Integrated DNA and RNA CGP identified actionable alterations in most patients in our study cohort. It also either directly informed treatment decisions or identified new guideline-supported treatment options in 25% (total) of cases. Transcriptomic subtyping provided further prognostic insights, particularly among patients receiving T-DXd, that contextualize treatment selection and sequence when multiple therapeutic options are available, including scenarios in which more potent ADC-based regimens may be favored over alternative targeted approaches.

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

A

Akshara Singareeka Raghavendra

Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA

A

Artem Tarasov

BostonGene Corporation, Waltham, MA

J

Jason A. Mouabbi

The University of Texas MD Anderson Cancer Center, Houston, TX

A

Anastasiya Evdokimova

2BostonGene, 100 Beaver St, United States

V

Viktor Smirnov

2BostonGene, 100 Beaver St, United States

K

Konstantin Rumyantsev

BostonGene Corporation, Waltham, MA

C

Carlos Hernando Barcenas

Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX

R

Rachel M. Layman

Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA

E

Egor Savin

BostonGene, Houston, TX

B

Bora Lim

P

Paula R. Pohlmann

S

Senthil Damodaran

Department of Breast Medical Oncology The University of Texas MD Anderson Cancer Center Houston Texas USA

M

Michael Hensley

BostonGene Corporation, Waltham, MA

N

Neeharika Makani

Bostongene, Waltham, MA

A

Anna Ogloblina

BostonGene Corporation, Waltham, MA

N

Nathan Hale Fowler

BostonGene Corporation, Waltham, MA

S

Sharon H. Giordano

A

Aleksander Bagaev

12BostonGene Corporation, Waltham, MA

C

Clinton Yam

D

Debasish Tripathy

The University of Texas MD Anderson Cancer Center, Houston, TX