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Ductal carcinoma in situ (DCIS) is an early form of breast cancer that has traditionally been characterized by neoplastic cells that are still confined to the mammary ducts. The 20-year breast cancer mortality rate following a DCIS diagnosis, with or without treatment, remains at 3.3%. Despite the overall success in DCIS treatments preventing local invasive breast cancer recurrence, there are still a substantial number of women who, after a DCIS diagnosis, die from metastatic breast cancer. We currently lack predictive tools to identify the high-risk patients who would benefit most from treatment. Emerging clinical and experimental evidence suggest that breast cancer cells may disseminate throughout the body very early in carcinogenesis. These circulating tumor cells (CTCs), rare cancer cells that are shed from the primary tumor into blood, may offer insights into early cancer progression and help identify high-risk patients. Because CTCs can extravasate from blood into tissue and form secondary tumor sites or dormant niches, they are potential biomarkers of metastasis and recurrence. The labyrinth, a high-throughput inertial microfluidic device, has previously demonstrated success in isolating CTCs through inertial separation due to their larger size when compared to white blood cells. Compared to antigen-based isolation technology, inertial microfluidic devices can isolate heterogeneous CTCs with a variety of surface proteins. Using this technology, we isolated and identified CTCs (DAPI+/Pan cytokeratin+/CD45- cells) in 63.2% (12/19) of DCIS patients with an average of 1.27 CTCs per five mls of blood compared to 0.259 CTCs per five mls of blood found in healthy controls (p =0.0078, unpaired t-test). The majority of healthy controls (15/19) had no detectable CTCs. Additionally, immunofluorescence staining showed that 10.5% of CTCs were EpCAM (Epithelial cell adhesion molecule) positive and 26.3% were positive for vimentin, a mesenchymal marker. Single-cell qPCR revealed potential CTCs with no gene expression of traditional white blood cell markers such as CD45, CD20, CD11B, and CD3D. The majority of these cells expressed proliferation (PKM2, TIMP1) and mesenchymal (SPARC, TGFβ1) markers, which can contribute to the cells’ ability to migrate and metastasize. Preliminary targeted DNA sequencing of eight CTC-enriched blood samples identified copy number variations previously associated with higher grade and poorly differentiated DCIS, and single nucleotide variations previously found in DCIS samples (NOTCH1 c.7541_7542del). Ultimately, this study suggests that DCIS generates CTCs prior to microinvasion. CTC isolation and detection may serve as a biomarker for high-risk DCIS and may also be used to explore mechanisms of early cancer dissemination. Citation Format: Brittany Rupp, Brooke Thanasiu, Neha Nagpal, Yan Hong, Dean E. Brenner, Kirsten Tuck, Kirk Herman, Fariba Behbod, Justin Colacino, Max Wicha, Sunitha Nagrath. Isolation and characterization of circulating tumor cells from ductal carcinoma in situ patients using label free technology [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3354.

BACKGROUND: The intestinal microbiome is an important determinant of inflammatory balance in the colon that may affect response to dietary agents. OBJECTIVE: This is a secondary analysis of a clinical trial, the Fish Oil Study, to determine whether interindividual differences in colonic bacteria are associated with variability in the reduction of colonic prostaglandin E(2) (PGE(2)) concentrations after personalized supplementation with ω-3 (n–3) fatty acids. METHODS: Forty-seven healthy adults (17 men, 30 women, ages 26–75 y) provided biopsy samples of colonic mucosa and luminal stool brushings before and after personalized ω-3 fatty acid supplementation that was based on blood fatty acid responses. Samples were analyzed using 16S ribosomal RNA sequencing. The data analyses focused on changes in bacterial community diversity. Linear regression was used to evaluate factors that predict a reduction in colonic PGE(2). RESULTS: At baseline, increased bacterial diversity, as measured by the Shannon and Inverse Simpson indexes in both biopsy and luminal brushing samples, was positively correlated with dietary fiber intakes and negatively correlated with fat intakes. Dietary supplementation with ω-3 fatty acids increased the Yue and Clayton community dis-similarity index between the microbiome in luminal brushings and colon biopsy samples post-supplementation (P = 0.015). In addition, there was a small group of individuals with relatively high Prevotella abundance who were resistant to the anti-inflammatory effects of ω-3 fatty acid supplementation. In linear regression analyses, increases in diversity of the bacteria in the luminal brushing samples, but not in the biopsy samples, were significant predictors of lower colonic PGE(2) concentrations post-supplementation in models that included baseline PGE(2), baseline body mass index, and changes in colonic eicosapentaenoic acid–to–arachidonic acid ratios. The changes in bacterial diversity contributed to 6–8% of the interindividual variance in change in colonic PGE(2) (P = 0.001). CONCLUSIONS: Dietary supplementation with ω-3 fatty acids had little effect on intestinal bacteria in healthy humans; however, an increase in diversity in the luminal brushings significantly predicted reductions in colonic PGE(2). This trial was registered at www.clinicaltrials.gov as NCT 01860352.

Improvement in pancreatic cancer treatment represents an urgent medical goal that has been hampered by the lack of predictive biomarkers. Circulating Tumor Cells (CTCs) may be able to overcome this issue by allowing the monitoring of therapeutic response and tumor aggressiveness through ex vivo expansion. The successful expansion of CTCs is challenging, due to their low numbers in blood and the high abundance of blood cells. Here, we explored the utility of pancreatic CTC cultures as a preclinical model for treatment response. CTCs were isolated from ten patients with locally advanced pancreatic cancer using the Labyrinth, a biomarker independent, size based, inertial microfluidic separation device. Three patient-derived CTC samples were successfully expanded in adherent and spheroid cultures. Molecular and functional characterization was performed on the expanded CTC lines. CTC lines exhibited KRAS mutations, consistent with pancreatic cancers. Additionally, we evaluated take rate and metastatic potential in vivo and examined the utility of CTC lines for cytotoxicity assays. Patient derived expanded CTCs successfully generated patient derived xenograft (PDX) models with a 100% take rate. Our results demonstrate that CTC cultures are possible and provide a valuable resource for translational pancreatic cancer research, while also providing meaningful insight into the development of distant metastasis, as well as treatment resistance.

This clinical trial developed a personalized dosing model for reducing prostaglandin E2 (PGE2) in colonic mucosa using ω-3 fatty acid supplementation. The model utilized serum eicosapentaenoic acid (EPA, ω-3):arachidonic acid (AA, ω-6) ratios as biomarkers of colonic mucosal PGE2 concentration. Normal human volunteers were given low and high ω-3 fatty acid test doses for 2 weeks. This established a slope and intercept of the line for dose versus serum EPA:AA ratio in each individual. The slope and intercept was utilized to calculate a personalized target dose that was given for 12 weeks. This target dose was calculated on the basis of a model, initially derived from lean rodents, showing a log-linear relationship between serum EPA:AA ratios and colonic mucosal PGE2 reduction. Bayesian methods allowed addition of human data to the rodent model as the trial progressed. The dosing model aimed to achieve a serum EPA:AA ratio that is associated with a 50% reduction in colonic PGE2. Mean colonic mucosal PGE2 concentrations were 6.55 ng/mg protein (SD, 5.78) before any supplementation and 3.59 ng/mg protein (SD, 3.29) after 12 weeks of target dosing. In secondary analyses, the decreases in PGE2 were significantly attenuated in overweight and obese participants. This occurred despite a higher target dose for the obese versus normal weight participants, as generated by the pharmacodynamic predictive model. Large decreases also were observed in 12-hydroxyicosatetraenoic acids, and PGE3 increased substantially. Future biomarker-driven dosing models for cancer prevention therefore should consider energy balance as well as overall eicosanoid homeostasis in normal tissue. Cancer Prev Res; 10(12); 729–37. ©2017 AACR.

Current cell-free DNA (cfDNA) next generation sequencing (NGS) precision oncology workflows are typically limited to targeted and/or disease-specific applications. In advanced cancer, disease burden and cfDNA tumor content are often elevated, yielding unique precision oncology opportunities. We sought to demonstrate the utility of a pan-cancer, rapid, inexpensive, whole genome NGS of cfDNA approach (PRINCe) as a precision oncology screening strategy via ultra-low coverage (~0.01x) tumor content determination through genome-wide copy number alteration (CNA) profiling. We applied PRINCe to a retrospective cohort of 124 cfDNA samples from 100 patients with advanced cancers, including 76 men with metastatic castration-resistant prostate cancer (mCRPC), enabling cfDNA tumor content approximation and actionable focal CNA detection, while facilitating concordance analyses between cfDNA and tissue-based NGS profiles and assessment of cfDNA alteration associations with mCRPC treatment outcomes. Therapeutically relevant focal CNAs were present in 42 (34%) cfDNA samples, including 36 of 93 (39%) mCRPC patient samples harboring AR amplification. PRINCe identified pre-treatment cfDNA CNA profiles facilitating disease monitoring. Combining PRINCe with routine targeted NGS of cfDNA enabled mutation and CNA assessment with coverages tuned to cfDNA tumor content. In mCRPC, genome-wide PRINCe cfDNA and matched tissue CNA profiles showed high concordance (median Pearson correlation = 0.87), and PRINCe detectable AR amplifications predicted reduced time on therapy, independent of therapy type (Kaplan-Meier log-rank test, chi-square = 24.9, p < 0.0001). Our screening approach enables robust, broadly applicable cfDNA-based precision oncology for patients with advanced cancer through scalable identification of therapeutically relevant CNAs and pre-/post-treatment genomic profiles, enabling cfDNA- or tissue-based precision oncology workflow optimization.

This clinical trial developed a personalized dosing model for reducing prostaglandin E2 (PGE2) in colonic mucosa using ω-3 fatty acid supplementation. The model utilized serum eicosapentaenoic acid (EPA, ω-3):arachidonic acid (AA, ω-6) ratios as biomarkers of colonic mucosal PGE2 concentration. Normal human volunteers were given low and high ω-3 fatty acid test doses for 2 weeks. This established a slope and intercept of the line for dose versus serum EPA:AA ratio in each individual. The slope and intercept was utilized to calculate a personalized target dose that was given for 12 weeks. This target dose was calculated on the basis of a model, initially derived from lean rodents, showing a log-linear relationship between serum EPA:AA ratios and colonic mucosal PGE2 reduction. Bayesian methods allowed addition of human data to the rodent model as the trial progressed. The dosing model aimed to achieve a serum EPA:AA ratio that is associated with a 50% reduction in colonic PGE2. Mean colonic mucosal PGE2 concentrations were 6.55 ng/mg protein (SD, 5.78) before any supplementation and 3.59 ng/mg protein (SD, 3.29) after 12 weeks of target dosing. In secondary analyses, the decreases in PGE2 were significantly attenuated in overweight and obese participants. This occurred despite a higher target dose for the obese versus normal weight participants, as generated by the pharmacodynamic predictive model. Large decreases also were observed in 12-hydroxyicosatetraenoic acids, and PGE3 increased substantially. Future biomarker-driven dosing models for cancer prevention therefore should consider energy balance as well as overall eicosanoid homeostasis in normal tissue.

144 Background: Although cell free DNA (cfDNA) profiling by next generation sequencing (NGS) holds great promise for precision oncology, the inability to estimate tumor content a priori typically results in ultra-deep sequencing (e.g. 10,000x) based approaches—often at limited loci—to ensure accurate assessment of cfDNA samples where tumor content can be < 0.1%. However, a large subset of patients with advanced cancers, where most precision oncology is applied, have much greater cfDNA tumor content. Methods: Here we demonstrate the utility of a pan-cancer, rapid, inexpensive, whole genome NGS of cfDNA approach (PRINCe) on benchtop sequencers as a precision medicine screening strategy based on ultra-low coverage (~0.005x) tumor content determination through genome-wide copy number alteration (CNA) profiling using 48 plasma cfDNA samples from patients with advanced cancer. Results: Using this approach, we identified therapeutically relevant focal CNAs in 13 of 48 (27%) cfDNA samples from patients with metastatic cancer, including 11 of 36 (31%) from patients with mCRPC. We further show that PRINCe is effective at whole genome coverages as low as 0.005x. Combining PRINCe with targeted multiplexed-PCR NGS of the same cfDNA enables mutation and CNA assessment using effective coverage as low as 25x based on calibrating sequencing depth to cfDNA tumor content. Lastly, PRINCe identifies pre-treatment cfDNA copy number profiles that can be used for inexpensive disease monitoring. Conclusions: Taken together, our screening approach enables broadly applicable cfDNA based precision oncology for patients with advanced cancer through rapid, inexpensive identification of therapeutically relevant CNAs and pre-treatment genomic profiles for disease monitoring, while also guiding additional cfDNA profiling approaches to reserve costly ultra-deep approaches for patients with very low cfDNA tumor content.