A Synthetic Lethality-Focused Algorithm to Identify Therapeutic Options in Advanced Metastatic Breast Cancer (SYNTHESIS-Breast)
NCT ID: NCT07067138
Last Updated: 2025-11-12
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.
NOT_YET_RECRUITING
NA
175 participants
INTERVENTIONAL
2025-11-17
2029-08-04
Brief Summary
Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.
Breast cancer is the most common cancer in US women. There are different types of breast cancers; some are aggressive and difficult to treat. Researchers want to know if an algorithm (ENLIGHT) can help choose approved drugs that will treat these cancers more effectively.
Objective:
To test whether ENLIGHT can find better treatments for aggressive breast cancers.
Eligibility:
People aged 18 years and older with triple-negative or endocrine therapy resistant breast cancer; the cancer must have either failed to respond to treatment or come back after treatment.
Design:
Participants will be screened. A sample of tissue taken from the tumor will be tested using ENLIGHT as well as another method (TruSight Oncology 500).
Participants will be assigned to 1 of 3 groups based on the algorithm search results:
Group 1: No drug option was recommended. Participants will continue with their standard treatment with their local doctors.
Group 2: A drug already approved for the participant's disease was recommended, but the participant has not yet received it. These results will be sent to the participant's local doctors. Participants may return to the NIH if their disease gets worse after using the suggested drugs.
Group 3: A drug approved for other uses was recommended. Participants will be treated with the recommended drugs at the NIH; their care will be managed by an NIH doctor. They will continue to receive treatment as long as the drugs are helping them. They will have follow-up visits for 2 years after treatment ends.
Participants who are not treated at the NIH will be contacted for a check on their health every 3 months for 2 years.
Detailed Description
Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.
* While 10-20% of breast cancers diagnosed in the U.S. are "triple-negative" (TNBC), the 5-year survival rate among TNBC patients with metastatic disease at diagnosis is 12%, and median survival after recurrence is approximately 24 months, demonstrating clear need for additional therapeutic options.
* Patients with metastatic hormone-receptor positive (HR+) breast cancer who develop endocrine-refractory disease (that is, no longer responsive to combinations including endocrine therapy) also suffer from a dearth of therapeutic options beyond cytotoxic chemotherapy, with overall survival after standard of care treatment (as seen across recent trials) often less than 1 year.
* Personalized oncology strategies have the potential to identify therapies across multiple cancer types. However, such strategies (which currently use patient DNA sequencing) only select a small subgroup of candidate patients by targeting direct matches in their cancers necessitating approaches that can broaden the pool of patients who may benefit from targeted therapies.
* Recent computational approaches are able to leverage additional -omics data, such as whole-transcriptome RNA-seq, and relationships between genes, such as synthetic lethality, to better predict responses to off-label targeted therapy or immunotherapy treatments compared to single-target strategies in retrospective clinical trial data.
* This study will apply the use of one such published computational transcriptomics algorithm, ENLIGHT, to prospectively identify therapeutic options for participants with metastatic breast cancer who currently experience limited treatment options.
Objectives:
* Part A: To assess the feasibility of using the ENLIGHT algorithm to match heavily pretreated participants with metastatic breast cancer to off-label therapies
* Part B (If feasibility-run in is met): To assess the objective response rate (ORR) of participants with advanced breast cancer using treatment recommended by the computational transcriptomics algorithm ENLIGHT
Eligibility:
* Participants must have a histologically confirmed diagnosis of metastatic breast cancer.
* Participant tumor subtypes will be enrolled as follows:
* TNBC Cohort: TNBC will be defined as estrogen receptor (ER) \< 10% or progesterone receptor (PR) \<10% by immunohistochemistry (IHC).
* Endocrine-Refractory Cohort: HR+ (ER positive and/or PR positive). HR+ will be defined as ER \>=10% or PR \>= 10% by IHC.
* For both cohorts, HER2 will be considered negative if not amplified as per ASCO-CAP guidelines per IHC/FISH. Note: HER2-low status will be regarded in accordance with NCCN guidelines (in which this designation serves as a predictive marker for trastuzumab deruxtecan, but participants are otherwise not considered eligible for other HER2-directed therapies).
* Participants must have been treated with at least one line of standard systemic therapy after diagnosis of metastatic disease, have progressive disease on their current regimen, and must not be eligible for another approved/standard therapy that has been shown to improve overall survival.
* Participants with HR+ disease must be deemed refractory to endocrine therapy per their clinical team, with concordance by study team.
* Participants must have measurable disease per RECIST v1.1.
* Archival tumor (preserved via FFPE) must be available from a biopsy performed within the past 6 months, or participants will need to undergo core biopsy and have at least one amenable tumor for the procedure, to optimize reliability of ENLIGHT results.
* Age \>=18 years
Design:
* This is an exploratory study that uses the ENLIGHT algorithm (Pangea Biomed) on whole-exome RNA-seq extracted from FFPE tissue to recommend and prioritize off-label therapies for participants.
* FFPE blocks from biopsies performed locally may be submitted if obtained 6 months or less prior to study enrollment, or biopsies may be obtained at the NIH in those participants for whom archival tissue is not available and there is at least one measurable site of disease that is deemed safe to biopsy.
* All RNA-seq extraction and sequencing will be performed by the CLIA-certified Laboratory of Pathology at the Center for Cancer Research, National Cancer Institute.
* Using the ENLIGHT algorithm to recommend and prioritize possible treatment options will test utility of this algorithm, which leverages RNA-seq, to add to clinical decision support.
* While on treatment at the NIH, participants will be asked to provide both blood correlative samples and an optional post-treatment tissue biopsy at day 15 / start of cycle 2 as per their treatment protocol.
Conditions
See the medical conditions and disease areas that this research is targeting or investigating.
Keywords
Explore important study keywords that can help with search, categorization, and topic discovery.
Study Design
Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.
NON_RANDOMIZED
PARALLEL
DEVICE_FEASIBILITY
NONE
Study Groups
Review each arm or cohort in the study, along with the interventions and objectives associated with them.
1/No Recommended Match
Treatment per physician's choice
Expression Networks for highLIGHting Tumor vulnerabilities (ENLIGHT)
This is a computational algorithm that takes RNA-seq data from tumor FFPE blocks and, given a list of pre-specified treatments, generates as output the predicted responses to those treatments.
TruSight(R) Oncology 500
TSO500 uses formalin-fixed, paraffin-embedded (FFPE) tumor blocks to generate a 523-gene DNA panel (with tumor mutational burden and microsatellite instability) to assess for biomarkers linked to FDA-approved, on-label therapies as well as whole-exome RNA-seq that can be used with the ENLIGHT algorithm.
TruSeq Matched Tumor Normal Whole Exome Sequencing Assay
The TruSeq Matched Tumor-Normal Whole Exome Sequencing assay is a next-generation sequencing assay that uses tumor DNA from formalin-fixed, paraffin-embedded (FFPE) tumor blocks and germline DNA drawn from blood to provide extended sequencing information on the tumor as well as any pathogenic variants, likely pathogenic variants, and variants of uncertain significance in 156 genes from the normal blood sample.
2/Genomic Marker Associated with FDA-Approved On-Label Treatment
Treatment in accordance with genomic marker; treatment to be directed locally by referring/treating physician
Expression Networks for highLIGHting Tumor vulnerabilities (ENLIGHT)
This is a computational algorithm that takes RNA-seq data from tumor FFPE blocks and, given a list of pre-specified treatments, generates as output the predicted responses to those treatments.
TruSight(R) Oncology 500
TSO500 uses formalin-fixed, paraffin-embedded (FFPE) tumor blocks to generate a 523-gene DNA panel (with tumor mutational burden and microsatellite instability) to assess for biomarkers linked to FDA-approved, on-label therapies as well as whole-exome RNA-seq that can be used with the ENLIGHT algorithm.
TruSeq Matched Tumor Normal Whole Exome Sequencing Assay
The TruSeq Matched Tumor-Normal Whole Exome Sequencing assay is a next-generation sequencing assay that uses tumor DNA from formalin-fixed, paraffin-embedded (FFPE) tumor blocks and germline DNA drawn from blood to provide extended sequencing information on the tumor as well as any pathogenic variants, likely pathogenic variants, and variants of uncertain significance in 156 genes from the normal blood sample.
3/Transcriptomic Match
Treatment regimen as selected by transcriptomic algorithm; treatment to be directed by NIH study team with requirement for treatment at NIH
Expression Networks for highLIGHting Tumor vulnerabilities (ENLIGHT)
This is a computational algorithm that takes RNA-seq data from tumor FFPE blocks and, given a list of pre-specified treatments, generates as output the predicted responses to those treatments.
TruSight(R) Oncology 500
TSO500 uses formalin-fixed, paraffin-embedded (FFPE) tumor blocks to generate a 523-gene DNA panel (with tumor mutational burden and microsatellite instability) to assess for biomarkers linked to FDA-approved, on-label therapies as well as whole-exome RNA-seq that can be used with the ENLIGHT algorithm.
TruSeq Matched Tumor Normal Whole Exome Sequencing Assay
The TruSeq Matched Tumor-Normal Whole Exome Sequencing assay is a next-generation sequencing assay that uses tumor DNA from formalin-fixed, paraffin-embedded (FFPE) tumor blocks and germline DNA drawn from blood to provide extended sequencing information on the tumor as well as any pathogenic variants, likely pathogenic variants, and variants of uncertain significance in 156 genes from the normal blood sample.
Interventions
Learn about the drugs, procedures, or behavioral strategies being tested and how they are applied within this trial.
Expression Networks for highLIGHting Tumor vulnerabilities (ENLIGHT)
This is a computational algorithm that takes RNA-seq data from tumor FFPE blocks and, given a list of pre-specified treatments, generates as output the predicted responses to those treatments.
TruSight(R) Oncology 500
TSO500 uses formalin-fixed, paraffin-embedded (FFPE) tumor blocks to generate a 523-gene DNA panel (with tumor mutational burden and microsatellite instability) to assess for biomarkers linked to FDA-approved, on-label therapies as well as whole-exome RNA-seq that can be used with the ENLIGHT algorithm.
TruSeq Matched Tumor Normal Whole Exome Sequencing Assay
The TruSeq Matched Tumor-Normal Whole Exome Sequencing assay is a next-generation sequencing assay that uses tumor DNA from formalin-fixed, paraffin-embedded (FFPE) tumor blocks and germline DNA drawn from blood to provide extended sequencing information on the tumor as well as any pathogenic variants, likely pathogenic variants, and variants of uncertain significance in 156 genes from the normal blood sample.
Eligibility Criteria
Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.
Inclusion Criteria
2. Participant tumor subtypes will be enrolled as follows:
* TNBC Cohort: TNBC will be defined as ER \< 10% or PR \< 10% by immunohistochemistry (IHC).
* Endocrine-Refractory Cohort: HR+ (ER+ and/or PR+) will be defined as ER \>= 10% or PR \>= 10% by IHC.
* For both cohorts, HER2 will be considered negative if not amplified as per ASCOCAP guidelines per IHC/FISH. Note: HER2-low status will be regarded in accordance with NCCN guidelines (in which this designation serves as a predictive marker for trastuzumab deruxtecan, but participants are otherwise not considered eligible for other HER2-directed therapies).
3. Participants must have been treated with at least one (1) line of systemic therapy after diagnosis of metastatic disease, have progressive disease or adverse events requiring discontinuation of their current regimen, and must not be able to transition to another approved systemic therapy shown to improve overall survival.
-Participants with HR+ disease must be deemed refractory to endocrine therapy per their clinical team, with concordance by study team.
Note: Participants who cannot receive standard therapy that has been shown to prolong overall survival due to concurrent medical issues versus progression of disease will be eligible, if other eligibility criteria are met. If appropriate, participants may remain on treatment during biopsy, screening and initial tissue review/testing for this study. However, their clinical team must confirm that the current line of treatment no longer offers benefit prior to the time of reporting and treatment assignment.
4. Participants must have measurable disease per RECIST v1.1. Note: Palliative radiotherapy to site(s) of disease may be completed during screening as long as disease outside of the planned sites of radiation is available for response assessment.
5. Archival tumor (preserved via FFPE) must be available from a biopsy performed within the past 6 months. The timeframe of 6 months is required to optimize reliability of ENLIGHT results. It is assumed that a participant has had no more than one (1) line of systemic treatment since the last biopsy. Participants who have had multiple intervening lines of therapy since biopsy was obtained will be reviewed by the study team to determine if another biopsy may be needed. Note: If archival tissue is not available within that timeframe, tissue from the next scheduled biopsy can be sent to NIH for testing. If it is not possible for a biopsy to be scheduled, the study team will evaluate the possibility of a biopsy being performed at the NIH for enrollment purposes.
6. Age \>=18 years.
7. ECOG performance status \<2 (Karnofsky \>60%)
8. Participants must have organ and marrow function as defined below:
* Leukocytes \>= 3,000/mcL
* Hemoglobin \>= 8g/dL
* Absolute neutrophil count \>= 1,200/mcL
* Platelets \>=75,000/mcL
* Total bilirubin \<= 1.5 x institutional upper limit of normal (In the case of known Gilbert's Disease, total bili \>1.5 may be considered.)
* AST(SGOT)/ALT(SGPT) \<= 3x institutional upper limit of normal
* Creatinine \< 1.5 x normal institutional limits OR Creatinine clearance \>=60 mL/min/1.73 m2
9. Ability to take oral medications.
10. Participants with an existing diagnosis of diabetes or hypertension, must have disease well-controlled with at least annual physician follow-up.
11. Women of child-bearing potential and men with a partner of child-bearing potential must be willing to use appropriate contraception in the event that they match to a therapy that requires such. The duration of contraception use will depend on the therapy assigned.
12. Willingness to comply with required study procedures and visits for the duration of study.
13. Participants with asymptomatic brain metastases may be included if metastases have been previously treated with local therapy including radiation at least 4 weeks prior to first dose of treatment and there is no indication for additional local therapy (including active progression).
14. Participants with human immunodeficiency virus (HIV) must be on an effective antiretroviral therapy with undetectable viral load for at least the last 6 months.
15. Participants with evidence of chronic hepatitis B virus (HBV) infection, must have HBV viral load that is undetectable on suppressive therapy, if indicated.
16. Participants with a history of hepatitis C virus (HCV) infection must have been treated and cured. Participants with HCV infection must be currently on treatment, with undetectable HCV viral load.
17. Participants with a prior or concurrent malignancy are eligible if the natural history or treatment does not have the potential to interfere with the safety or efficacy assessment of the off-label therapies offered on this study in the opinion of the Principal Investigator (PI) and are otherwise eligible for this trial.
18. Participants with current symptoms of cardiac disease, or history of treatment with cardiotoxic agents, should have a clinical risk assessment of cardiac function using the New York Heart Association Functional Classification. Note: To be eligible for this trial, participants should be class 2B or better.
19. Ability of participant to understand and the willingness to sign a written informed consent document.
Exclusion Criteria
2. Participants with uncontrolled intercurrent illness evaluated by physical exam and chemistries or situations that would limit compliance with study requirements, interpretation of results or that could increase risk to the participant.
3. Participants with the following active cardiac conditions: symptomatic congestive heart failure, unstable angina pectoris or cardiac arrhythmia (per medical record).
4. Participants with lung disease requiring continuous oxygen supplementation.
5. Participants with decompensated cirrhosis and/or end-stage kidney disease on dialysis.
6. Participants with positive serum or urine beta-HCG pregnancy test performed at screening.
7. Participants who are unable to provide tissue specimens of sufficient quality for use in this study. Quality of DNA and RNA is determined during screening. This may be due to issues with biopsy sample collection, inadequate RNA extraction, or quality control failure. Participants may be re-screened if initial specimens are not adequate, if they are amenable to re-biopsy, and additional site(s) of disease for adequate re-sampling are available.
18 Years
120 Years
ALL
No
Sponsors
Meet the organizations funding or collaborating on the study and learn about their roles.
National Cancer Institute (NCI)
NIH
Responsible Party
Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.
Principal Investigators
Learn about the lead researchers overseeing the trial and their institutional affiliations.
Padma S Rajagopal, M.D.
Role: PRINCIPAL_INVESTIGATOR
National Cancer Institute (NCI)
Locations
Explore where the study is taking place and check the recruitment status at each participating site.
National Institutes of Health Clinical Center
Bethesda, Maryland, United States
Countries
Review the countries where the study has at least one active or historical site.
Central Contacts
Reach out to these primary contacts for questions about participation or study logistics.
Facility Contacts
Find local site contact details for specific facilities participating in the trial.
National Cancer Institute Referral Office
Role: primary
Related Links
Access external resources that provide additional context or updates about the study.
NIH Clinical Center Detailed Web Page
Other Identifiers
Review additional registry numbers or institutional identifiers associated with this trial.
001891-C
Identifier Type: -
Identifier Source: secondary_id
10001891
Identifier Type: -
Identifier Source: org_study_id