An Exploratory Study Using a Synthetic Lethality-Focused Algorithm to Identify Therapeutic Options in Advanced Metastatic Breast Cancer (SYNTHESIS-Breast)

Summary

Background: 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.

Description

Eligibility

Age range

18–120 years

Sex

All

Healthy volunteers

No

Interventions

• Device
  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.

• Device
  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.

• Device
  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.

Location