Abstract OT-09-04: Analysis of genomic alterations in cell free DNA and gut bacterial diversity in metastatic breast cancer (MBC) patients on endocrine therapy: A pilot study
Bibliographic record
Abstract
Abstract Background: Endocrine therapies have been associated with an overall survival benefit in MBC. However, a majority of patients eventually develop endocrine resistance and the factors associated with short versus long term response to endocrine therapies have not been well defined. These factors include key genomic alterations as well as alterations in steroid metabolism pathways. Gut bacteria play an important role in estrogen metabolism and may thus impact response to endocrine-based therapies. Our study aims to investigate both genomic and gut bacterial profiles in patients treated with endocrine therapies in MBC to further elucidate potential mechanisms of acquired endocrine resistance. Specific Aims: (1) To examine mutational profiles in cell free DNA of ER+/HER2- MBC patients treated with Aromatase Inhibitors (AI) + CDK 4/6 inhibitors to identify common oncogenic alterations associated clinical outcomes. (2) To identify gut bacterial profiles predictive of short versus long term response to endocrine therapy with AI + CDK 4/6 inhibitors. (3) To identify dietary factors associated with clinical outcomes on AI + CDK 4/6 inhibitor treatment. Patients and Methods: This is a prospective pilot study with the aim of collecting blood and fecal samples for biomarker analysis. Patients with advanced ER+/HER2- breast cancer initiating on standard of care first line palliative systemic therapy with an AI in combination with a CDK 4/6 inhibitor will be screened for eligibility. Patients with relapse on prior endocrine therapy or within 6 months of discontinuation of prior adjuvant endocrine therapy as well as patients with a history of inflammatory bowel disease, chronic diarrhea, malabsorption syndromes and prior bowel resection will be excluded. Taxonomic composition of fecal samples will be assessed by 16S rRNA gene microbiota sequencing. A subset of samples will undergo shotgun metagenomic sequencing. Targeted qPCR will be used to quantitate total bacterial density (by 16S rRNA gene qPCR), as well as genus/ species identified from published studies. Molecular alterations in cell free DNA extracted from peripheral blood samples will be analyzed using the Oncomine (ThermoFisher) Breast cfDNA assay. Droplet digital PCR assays will be designed to investigate common hotspot mutations in additional genes of interest. Dietary information will be assessed through standardized food frequency questionnaire administered at the start of treatment. Study outcomes will be mainly exploratory and hypothesis-generating. The sample size of 20 patients was determined in order to formulate an acceptable confidence interval (>95%) and to account for drop-outs and patients with insufficient number or quality of samples. The primary outcome is to compare genomic and gut bacterial profiles in patients with short (<6 months) versus long (≥24 months) time-to-treatment failure (TTF), defined as the time from first treatment on study until the date of treatment discontinuation for whatever reason (including toxicity). Secondary outcomes include overall survival, toxicity and frequency of genomic and bacterial alterations. Expected Results and Conclusions: We have enrolled two patients after an accrual period of 4 months. Detailed analysis of the genomic profiles in cell free DNA and gut bacterial diversity will provide a comprehensive portrait of the molecular and gut bacterial profiles associated with short versus long term responders to endocrine therapy and might shed light on new therapeutic targets. Citation Format: Rossanna C. Pezo, Andrea Eisen, Sonal Gandhi, Ellen Warner, Katarzyna Jerzak, Maureen Trudeau, Arun Seth. Analysis of genomic alterations in cell free DNA and gut bacterial diversity in metastatic breast cancer (MBC) patients on endocrine therapy: A pilot study [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr OT-09-04.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".