Abstract PS5-12-20: Synthesis-breast: a prospective early-phase trial of a synthetic lethality-focused algorithm to identify therapeutic options in metastatic breast cancer

Abstract Background: Patients with metastatic triple-negative (TNBC) or endocrine-refractory hormone receptor-positive (HR+) breast cancer have limited therapeutic options and survival benefit once reaching chemotherapy-only options. Existing precision oncology uses actionable mutations, which restrict targeted therapies to patients harboring those mutations. ENLIGHT is a computational algorithm that predicts possible treatment options via tumor transcriptomes using synthetic lethality, validated using 21 retrospective pan-cancer trial datasets with 697 total patients. This exploratory clinical trial seeks to evaluate ENLIGHT’s feasibility to prospectively identify treatment options in this population. Design: SYNTHESIS-Breast (Clinicaltrials.gov NCT number requested) is an exploratory single-institution trial that will enroll participants with advanced metastatic TNBC or endocrine-refractory HR+ breast cancer who were previously treated with approved regimens with known overall survival benefits. Tumor biopsy samples (from within 6 months before enrollment) are mailed in for screening and will undergo genomic and transcriptomic profiling using the TruSight Oncology 500 (TSO500) platform; whole-transcriptome RNA-seq will be analyzed through ENLIGHT. Participants - initially seen virtually - will be assigned to 1 of 3 arms based on TSO500 and ENLIGHT as reviewed by a molecular tumor board: Arm 1 (no treatment recommendation), Arm 2 (recommendation for an FDA on-label treatment option), or Arm 3 (ENLIGHT recommendation from 1 of 22 off-label treatment options). Participants in Arm 3 will be treated at the NIH, and those in Arms 1 and 2 will continue with their community oncologists and be followed virtually. The trial uses a Simon two-stage design with a two-part primary objective. Part A assesses feasibility through the number of participants matched to an ENLIGHT-recommended therapy. If enough participants are matched to an ENLIGHT-recommended therapy within 1 year, the trial moves to Part B, evaluating objective response in Arm 3 participants. Overall success of the trial is defined as a 40% response rate of Arm 3 participants.This study is not designed to validate ENLIGHT for routine clinical use but aims to 1) assess the feasibility of prospective use of this computational algorithm within a reasonable timeframe, and 2) guide future trials to validate clinical use of ENLIGHT. In pilot testing of 10 archival breast cancer tissue samples, all RNA-seq-evaluable samples had ≥ 1 ENLIGHT match; 6/10 were matched to immunotherapy options. Among those, 4/6 would not have been eligible under current guidelines. Implications: SYNTHESIS-Breast is a prospective trial that uses ENLIGHT, a computational algorithm based on transcriptome-based synthetic lethality, to predict off-label treatment options for participants with metastatic breast cancer who have exhausted initial-line therapies. The current mutation-based model of precision oncology leaves patients behind, requiring alternative strategies that can use multi-omic data and predictive approaches. Insights from this trial will not only inform future trials using ENLIGHT, but also early-phase trials assessing other computational algorithms. Citation Format: A. B. Warner, B. B. Solarz, M. Belyov, V. Bolanos, A. McCoy, T. Fujii, J. Lee, K. C. Conlon, G. Dinstag, R. Aharonov, T. Beker, K. Aldape, E. Ruppin, S. Lipkowitz, P. S. Rajagopal. Synthesis-breast: a prospective early-phase trial of a synthetic lethality-focused algorithm to identify therapeutic options in metastatic breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS5-12-20.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-ps5-12-20
Primary Topic
Advanced Breast Cancer Therapies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract PS5-12-20: Synthesis-breast: a prospective early-phase trial of a synthetic lethality-focused algorithm to identify therapeutic options in metastatic breast cancer

Takeshi Fujii, Stan Lipkowitz, Eytan Ruppin, K. C. Conlon et al.
Clinical Cancer Research
Advanced Breast Cancer Therapies
article

Abstract PS5-12-20: Synthesis-breast: a prospective early-phase trial of a synthetic lethality-focused algorithm to identify therapeutic options in metastatic breast cancer

Takeshi Fujii, Stan Lipkowitz, Eytan Ruppin, K. C. Conlon, V. Bolanos, K. Aldape, R. Aharonov, T. Beker, A. McCoy, M. Belyov, J. Lee, A. B. Warner, P. S. Rajagopal, G. Dinstag, B. B. Solarz
article en

Abstract

Abstract Background: Patients with metastatic triple-negative (TNBC) or endocrine-refractory hormone receptor-positive (HR+) breast cancer have limited therapeutic options and survival benefit once reaching chemotherapy-only options. Existing precision oncology uses actionable mutations, which restrict targeted therapies to patients harboring those mutations. ENLIGHT is a computational algorithm that predicts possible treatment options via tumor transcriptomes using synthetic lethality, validated using 21 retrospective pan-cancer trial datasets with 697 total patients. This exploratory clinical trial seeks to evaluate ENLIGHT’s feasibility to prospectively identify treatment options in this population. Design: SYNTHESIS-Breast (Clinicaltrials.gov NCT number requested) is an exploratory single-institution trial that will enroll participants with advanced metastatic TNBC or endocrine-refractory HR+ breast cancer who were previously treated with approved regimens with known overall survival benefits. Tumor biopsy samples (from within 6 months before enrollment) are mailed in for screening and will undergo genomic and transcriptomic profiling using the TruSight Oncology 500 (TSO500) platform; whole-transcriptome RNA-seq will be analyzed through ENLIGHT. Participants - initially seen virtually - will be assigned to 1 of 3 arms based on TSO500 and ENLIGHT as reviewed by a molecular tumor board: Arm 1 (no treatment recommendation), Arm 2 (recommendation for an FDA on-label treatment option), or Arm 3 (ENLIGHT recommendation from 1 of 22 off-label treatment options). Participants in Arm 3 will be treated at the NIH, and those in Arms 1 and 2 will continue with their community oncologists and be followed virtually. The trial uses a Simon two-stage design with a two-part primary objective. Part A assesses feasibility through the number of participants matched to an ENLIGHT-recommended therapy. If enough participants are matched to an ENLIGHT-recommended therapy within 1 year, the trial moves to Part B, evaluating objective response in Arm 3 participants. Overall success of the trial is defined as a 40% response rate of Arm 3 participants.This study is not designed to validate ENLIGHT for routine clinical use but aims to 1) assess the feasibility of prospective use of this computational algorithm within a reasonable timeframe, and 2) guide future trials to validate clinical use of ENLIGHT. In pilot testing of 10 archival breast cancer tissue samples, all RNA-seq-evaluable samples had ≥ 1 ENLIGHT match; 6/10 were matched to immunotherapy options. Among those, 4/6 would not have been eligible under current guidelines. Implications: SYNTHESIS-Breast is a prospective trial that uses ENLIGHT, a computational algorithm based on transcriptome-based synthetic lethality, to predict off-label treatment options for participants with metastatic breast cancer who have exhausted initial-line therapies. The current mutation-based model of precision oncology leaves patients behind, requiring alternative strategies that can use multi-omic data and predictive approaches. Insights from this trial will not only inform future trials using ENLIGHT, but also early-phase trials assessing other computational algorithms. Citation Format: A. B. Warner, B. B. Solarz, M. Belyov, V. Bolanos, A. McCoy, T. Fujii, J. Lee, K. C. Conlon, G. Dinstag, R. Aharonov, T. Beker, K. Aldape, E. Ruppin, S. Lipkowitz, P. S. Rajagopal. Synthesis-breast: a prospective early-phase trial of a synthetic lethality-focused algorithm to identify therapeutic options in metastatic breast cancer [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS5-12-20.

Clinical Cancer ResearchVol. 32(4_Supplement)
National Institutes of Health (US), Office of the Director (US), Biomed Research Institute (US), Department of Health and Human Services (US)
Good health and well-being
Openalex Percentile: Top 51%
Advanced Breast Cancer Therapies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.