Search

Purpose: Recent developments in rare-cell technology have led to improved blood-based assays that allow for the reliable detection, enumeration, and more recently, genomic profiling of circulating tumor cells (CTC). We evaluated two different approaches for enumeration of CTCs in a prospective therapeutic study of patients with metastatic triple-negative breast cancer (TNBC).Experimental Design: The CellSearch system, a commercially available and U.S. Food and Drug Administration (FDA)–cleared assay for CTC enumeration, and IE/FC, an alternative method using EPCAM-based immunomagnetic enrichment and flow cytometry that maintains cell viability, were used to enumerate CTCs in the blood of patients with metastatic TNBC. CTC numbers were assessed at baseline and 7 to 14 days after initiation of therapy with cetuximab ± carboplatin in a phase II multicenter clinical trial (TBCRC 001).Results: CTC numbers from two methods were significantly correlated at baseline (r = 0.62) and at 7 to 14 days (r = 0.53). Baseline CTCs showed no association with time-to-progression (TTP), whereas CTCs at 7 to 14 days were significantly correlated with TTP (CellSearch P = 0.02; IE/FC P = 0.03). CTCs at both time points were significantly associated with overall survival (OS) [CellSearch: baseline (P = 0.0001) and 7 to 14 days (P < 0.0001); IE/FC: baseline (P = 0.0009) and 7 to 14 days (P = 0.0086)].Conclusions: Our findings demonstrate that CTC enumeration by two different assays was highly concordant. In addition, results of both assays were significantly correlated with TTP and OS in patients with TNBC. The IE/FC method is also easily adapted to isolation of pure populations of CTCs for genomic profiling. Clin Cancer Res; 21(5); 1098–105. ©2014 AACR.

Supplementary Figure 1. Development, optimization and performance of the gene expression assay. Supplementary Figure 2. Evaluation of assay performance using cancer cell line spike-in models. Supplementary Figure 3. Sample processing and quality control measures Supplementary Figure 4. Expression analysis of CTCs and matched normal blood samples. Supplementary Figure 5. Subtype and proliferation status. Supplementary Figure 6. Serial analysis. Supplementary Figure 7. Clustering analysis of copy number data. Supplementary Figure 8. ESR1 and ERBB2 status in CTCs and patient outcome Supplementary Figure 9. CTC molecular subtype and patient outcome.

Supplementary Table 3. Proportional hazard Cox multivariate regression models to estimate risk of progression or death for dichotomized groups based on predefined cutoffs for CellSearch and IE/FC circulating tumor cell (CTC) enumeration at different time points. Multivariate Cox models with the dichotomized CellSearch and IE/FC groups using various cutoffs were used to estimate hazard ratios to compare prognostic value with respect to TTP or OS. For TTP assessment, Models #1 and #3 showed that only CTC numbers obtained via CellSearch using the cutoff of {greater than or equal to}1 CTC/mL at 7-14d approached significance (p

Supplementary Table 1. REMARK flow diagram of patients and sample collection and processing for each enumeration method (CellSearch and IE/FC). Blood samples from 102 patients with metastatic triple-negative breast cancer were collected at baseline and 7-14days after initiation of treatment. Circulating tumor cells in patients' blood from the same draw were contemporaneously enumerated by CellSearch and IE/FC.

Supplementary Table 2. Median overall survival (OS) and time-to-progression (TTP) in months for different groups based on CTC status. Patients were assigned to the following groups: favorable (

Purpose: We profiled circulating tumor cells (CTCs) to study the biology of blood-borne metastasis and to monitor biomarker status in metastatic breast cancer (MBC).Methods: CTCs were isolated from 105 patients with MBC using EPCAM-based immunomagnetic enrichment and fluorescence-activated cells sorting (IE/FACS), 28 of whom had serial CTC analysis (74 samples, 2–5 time points). CTCs were subjected to microfluidic-based multiplex QPCR array of 64 cancer-related genes (n = 151) and genome-wide copy-number analysis by array comparative genomic hybridization (aCGH; n = 49).Results: Combined transcriptional and genomic profiling showed that CTCs were 26% ESR1−ERBB2−, 48% ESR1+ERBB2−, and 27% ERBB2+. Serial testing showed that ERBB2 status was more stable over time compared with ESR1 and proliferation (MKI67) status. While cell-to-cell heterogeneity was observed at the single-cell level, with increasingly stable expression in larger pools, patient-specific CTC expression “fingerprints” were also observed. CTC copy-number profiles clustered into three groups based on the extent of genomic aberrations and the presence of large chromosomal imbalances. Comparative analysis showed discordance in ESR1/ER (27%) and ERBB2/HER2 (23%) status between CTCs and matched primary tumors. CTCs in 65% of the patients were considered to have low proliferation potential. Patients who harbored CTCs with high proliferation (MKI67) status had significantly reduced progression-free survival (P = 0.0011) and overall survival (P = 0.0095) compared with patients with low proliferative CTCs.Conclusions: We demonstrate an approach for complete isolation of EPCAM-positive CTCs and downstream comprehensive transcriptional/genomic characterization to examine the biology and assess breast cancer biomarkers in these cells over time. Clin Cancer Res; 24(6); 1486–99. ©2018 AACR.

Supplementary Table 4. Proportional hazard Cox multivariate regression models to estimate risk of progression or death for dichotomized groups based on circulating tumor cell (CTC) status. Patients were assigned to the following groups: favorable (3.8) and IE/FC (p{less than or equal to}0.0049, HR=2.7). Models #1 and #2 revealed borderline significance for patients who were defined as favorable to unfavorable via CellSearch using either cutoff (p=0.0631, HR=2.4 and p=0.0520, HR=7.8).

Purpose:We evaluated the prognostic and predictive value of circulating tumor cells (CTCs) hormone receptor–positive (HR+) metastatic breast cancer (MBC) patients randomized to letrozole alone or letrozole plus bevacizumab in the first-line setting (CALGB 40503).Experimental Design:Blood samples were collected at pretreatment and three additional time points during therapy. The presence of ≥5 CTCs per 7.5 mL of blood was considered CTC positive. Association of CTCs with progression-free survival (PFS) and overall survival (OS) was assessed using Cox regression models.Results:Of 343 patients treated, 294 had CTC data and were included in this analysis. Median follow-up was 39 months. In multivariable analysis, CTC-positive patients at baseline (31%) had significantly reduced PFS [HR, 1.49; 95% confidence interval (CI), 1.12–1.97] and OS (HR, 2.08; 95% CI, 1.49–2.93) compared with CTC negative. Failure to clear CTCs during treatment was associated with significantly increased risk of progression (HR, 2.2; 95% CI, 1.58–3.07) and death (HR, 3.4; 95% CI, 2.36–4.88). CTC-positive patients who received only letrozole had the worse PFS (HR, 2.3; 95% CI, 1.54–3.47) and OS (HR, 2.6; 95% CI, 1.59–4.40). Median PFS in CTC-positive patients was significantly longer (18.0 vs. 7.0 months) in letrozole plus bevacizumab versus letrozole arm (P = 0.0009). Restricted mean survival time analysis further revealed that addition of bevacizumab was associated with PFS benefit in both CTC-positive and CTC-negative patients, but OS benefit was only observed in CTC-positive patients.Conclusions:CTCs were highly prognostic for the addition of bevacizumab to first-line letrozole in patients with HR+ MBC in CALGB 40503. Further research to determine the potential predictive value of CTCs in this setting is warranted.

Purpose:We examined the prognostic impact of circulating tumor cells (CTCs) and disseminated tumor cells (DTCs) detected at the time of surgery in 742 untreated patients with early breast cancer.Experimental Design:DTCs in bone marrow were enumerated using the EPCAM-based immunomagnetic enrichment and flow cytometry (IE/FC) assay. CTCs in blood were enumerated either by IE/FC or CellSearch. Median follow-up was 7.1 years for distant recurrence-free survival (DRFS) and 9.1 years for breast cancer–specific survival (BCSS) and overall survival (OS). Cox regressions were used to estimate hazard ratios for DRFS, BCSS, and OS in all patients, as well as in hormone receptor–positive (HR-positive, 87%) and HR-negative (13%) subsets.Results:In multivariate models, CTC positivity by IE/FC was significantly associated with reduced BCSS in both all (n = 288; P = 0.0138) and HR-positive patients (n = 249; P = 0.0454). CTC positivity by CellSearch was significantly associated with reduced DRFS in both all (n = 380; P = 0.0067) and HR-positive patients (n = 328; P = 0.0002). DTC status, by itself, was not prognostic; however, when combined with CTC status by IE/FC (n = 273), double positivity (CTC+/DTC+, 8%) was significantly associated with reduced DRFS (P = 0.0270), BCSS (P = 0.0205), and OS (P = 0.0168). In HR-positive patients, double positivity (9% of 235) was significantly associated with reduced DRFS (P = 0.0285), BCSS (P = 0.0357), and OS (P = 0.0092).Conclusions:Detection of CTCs in patients with HR-positive early breast cancer was an independent prognostic factor for DRFS (using CellSearch) and BCSS (using IE/FC). Simultaneous detection of DTCs provided additional prognostic power for outcome, including OS.

Supplementary Figures and Tables except Table S7

Supplementary Figure 1. REMARK flow diagram of patients and sample collection and processing for each enumeration method (CellSearch and IE/FC). Blood samples from 102 patients with metastatic triple-negative breast cancer were collected at baseline and 7-14days after initiation of treatment. Circulating tumor cells in patients' blood from the same draw were contemporaneously enumerated by CellSearch and IE/FC.

Supplementary Figure Legends. REMARK flow diagram

TS1-4

PDF file - 965K, FIG S1: Distribution of MAD estimates across all 102 circulating tumor cell samples FIG S2: Visualization of IE/FACS-isolated cells via hematoxylin/eosin staining; FIG S3: Visualization of IE/FACS-isolated cells via fluorescence in-situ hybridization (FISH) analysis; FIG S4: aCGH analysis of spiked BT474 cells at the single cell level; FIG S5: aCGH analysis of spiked MCF7 cells; FIG S6: Study flow chart; FIG S7: Sorting replication in Patient #303; FIG S8: Comparison of circulating tumor cells and matched primary tumor

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BackgroundWe examined the prognostic significance of circulating tumor cell (CTC) dynamics during treatment in metastatic breast cancer (MBC) patients receiving first-line chemotherapy.MethodsSerial CTC data from 469 patients (2202 samples) were used to build a novel latent mixture model to identify groups with similar CTC trajectory (tCTC) patterns during the course of treatment. Cox regression was used to estimate hazard ratios for progression-free survival (PFS) and overall survival (OS) in groups based on baseline CTCs, combined CTC status at baseline to the end of cycle 1, and tCTC. Akaike information criterion was used to select the model that best predicted PFS and OS.ResultsLatent mixture modeling revealed 4 distinct tCTC patterns: undetectable CTCs (56.9% ), low (23.7%), intermediate (14.5%), or high (4.9%). Patients with low, intermediate, and high tCTC patterns had statistically significant inferior PFS and OS compared with those with undetectable CTCs (P < .001). Akaike Information Criterion indicated that the tCTC model best predicted PFS and OS compared with baseline CTCs and combined CTC status at baseline to the end of cycle 1 models. Validation studies in an independent cohort of 1856 MBC patients confirmed these findings. Further validation using only a single pretreatment CTC measurement confirmed prognostic performance of the tCTC model.ConclusionsWe identified 4 novel prognostic groups in MBC based on similarities in tCTC patterns during chemotherapy. Prognostic groups included patients with very poor outcome (intermediate + high CTCs, 19.4%) who could benefit from more effective treatment. Our novel prognostic classification approach may be used for fine-tuning of CTC-based risk stratification strategies to guide future prospective clinical trials in MBC.

Purpose: We evaluated the prognostic and predictive value of circulating tumor cells (CTCs) hormone receptor–positive (HR+) metastatic breast cancer (MBC) patients randomized to letrozole alone or letrozole plus bevacizumab in the first-line setting (CALGB 40503). Experimental Design: Blood samples were collected at pretreatment and three additional time points during therapy. The presence of ≥5 CTCs per 7.5 mL of blood was considered CTC positive. Association of CTCs with progression-free survival (PFS) and overall survival (OS) was assessed using Cox regression models. Results: Of 343 patients treated, 294 had CTC data and were included in this analysis. Median follow-up was 39 months. In multivariable analysis, CTC-positive patients at baseline (31%) had significantly reduced PFS [HR, 1.49; 95% confidence interval (CI), 1.12–1.97] and OS (HR, 2.08; 95% CI, 1.49–2.93) compared with CTC negative. Failure to clear CTCs during treatment was associated with significantly increased risk of progression (HR, 2.2; 95% CI, 1.58–3.07) and death (HR, 3.4; 95% CI, 2.36–4.88). CTC-positive patients who received only letrozole had the worse PFS (HR, 2.3; 95% CI, 1.54–3.47) and OS (HR, 2.6; 95% CI, 1.59–4.40). Median PFS in CTC-positive patients was significantly longer (18.0 vs. 7.0 months) in letrozole plus bevacizumab versus letrozole arm (P = 0.0009). Restricted mean survival time analysis further revealed that addition of bevacizumab was associated with PFS benefit in both CTC-positive and CTC-negative patients, but OS benefit was only observed in CTC-positive patients. Conclusions: CTCs were highly prognostic for the addition of bevacizumab to first-line letrozole in patients with HR+ MBC in CALGB 40503. Further research to determine the potential predictive value of CTCs in this setting is warranted.

Detection of disseminated tumor cells (DTCs) in bone marrow is an established negative prognostic factor. We isolated small pools of (~20) EPCAM-positive DTCs from early breast cancer patients for genomic profiling. Genome-wide copy number profiles of DTC pools (n = 45) appeared less aberrant than the corresponding primary tumors (PT, n = 16). PIK3CA mutations were detected in 26% of DTC pools (n = 53), none of them were shared with matched PTs. Expression profiling of DTC pools (n = 30) confirmed the upregulation of EPCAM expression and certain oncogenes (e.g., MYC and CCNE1), as well as the absence of hematopoietic features. Two expression subtypes were observed: (1) luminal with dual epithelial–mesenchymal properties (high ESR1 and VIM/CAV1 expression), and (2) basal-like with proliferative/stem cell-like phenotype (low ESR1 and high MKI67/ALDH1A1 expression). We observed high discordance between ESR1 (40%) and ERRB2 (43%) expression in DTC pools vs. the clinical ER and HER2 status of the corresponding primary tumors, suggesting plasticity of biomarker status during dissemination to the bone marrow. Comparison of expression profiles of DTC pools with available data from circulating tumor cells (CTCs) of metastatic breast cancer patients revealed gene expression signatures in DTCs that were unique from those of CTCs. For example, ALDH1A1, CAV1, and VIM were upregulated in DTC pools relative to CTCs. Taken together, analysis of pooled DTCs revealed molecular heterogeneity, possible genetic divergence from corresponding primary tumor, and two distinct subpopulations. Validation in larger cohorts is needed to confirm the presence of these molecular subtypes and to evaluate their biological and clinical significance., Genetics: two subtypes of disseminated tumor cells in bone marrow Tumor cells found in the bone marrow of women with early-stage breast cancer constitute molecularly distinct populations that could impact patient outcomes and treatment responses. Mark Jesus Magbanua and coworkers from the University of California, San Francisco, USA, performed genome-wide copy number variation analysis, expression profiling on 64 cancer-related genes and screened for PIK3CA mutations in pools of tumor cells isolated from bone marrow aspirates of patients undergoing surgery. These disseminated tumor cells (DTCs) contained fewer genomic abnormalities on average than their corresponding primary tumors, although the DTCs often acquired oncogenic mutations in PIK3CA. Expression profiling revealed two distinct subtypes of DTCs, both of which were different from circulating tumor cells found in the bloodstream. Further studies are needed to evaluate the biological and clinical significance of this molecular and genomic heterogeneity in DTCs.

Purpose: We profiled circulating tumor cells (CTCs) to study the biology of blood-borne metastasis and to monitor biomarker status in metastatic breast cancer (MBC).Methods: CTCs were isolated from 105 patients with MBC using EPCAM-based immunomagnetic enrichment and fluorescence-activated cells sorting (IE/FACS), 28 of whom had serial CTC analysis (74 samples, 2–5 time points). CTCs were subjected to microfluidic-based multiplex QPCR array of 64 cancer-related genes (n = 151) and genome-wide copy-number analysis by array comparative genomic hybridization (aCGH; n = 49).Results: Combined transcriptional and genomic profiling showed that CTCs were 26% ESR1−ERBB2−, 48% ESR1+ERBB2−, and 27% ERBB2+. Serial testing showed that ERBB2 status was more stable over time compared with ESR1 and proliferation (MKI67) status. While cell-to-cell heterogeneity was observed at the single-cell level, with increasingly stable expression in larger pools, patient-specific CTC expression “fingerprints” were also observed. CTC copy-number profiles clustered into three groups based on the extent of genomic aberrations and the presence of large chromosomal imbalances. Comparative analysis showed discordance in ESR1/ER (27%) and ERBB2/HER2 (23%) status between CTCs and matched primary tumors. CTCs in 65% of the patients were considered to have low proliferation potential. Patients who harbored CTCs with high proliferation (MKI67) status had significantly reduced progression-free survival (P = 0.0011) and overall survival (P = 0.0095) compared with patients with low proliferative CTCs.Conclusions: We demonstrate an approach for complete isolation of EPCAM-positive CTCs and downstream comprehensive transcriptional/genomic characterization to examine the biology and assess breast cancer biomarkers in these cells over time. Clin Cancer Res; 24(6); 1486–99. ©2018 AACR.

Purpose: We examined the prognostic impact of circulating tumor cells (CTCs) and disseminated tumor cells (DTCs) detected at the time of surgery in 742 untreated patients with early breast cancer. Experimental Design: DTCs in bone marrow were enumerated using the EPCAM-based immunomagnetic enrichment and flow cytometry (IE/FC) assay. CTCs in blood were enumerated either by IE/FC or CellSearch. Median follow-up was 7.1 years for distant recurrence-free survival (DRFS) and 9.1 years for breast cancer–specific survival (BCSS) and overall survival (OS). Cox regressions were used to estimate hazard ratios for DRFS, BCSS, and OS in all patients, as well as in hormone receptor–positive (HR-positive, 87%) and HR-negative (13%) subsets. Results: In multivariate models, CTC positivity by IE/FC was significantly associated with reduced BCSS in both all (n = 288; P = 0.0138) and HR-positive patients (n = 249; P = 0.0454). CTC positivity by CellSearch was significantly associated with reduced DRFS in both all (n = 380; P = 0.0067) and HR-positive patients (n = 328; P = 0.0002). DTC status, by itself, was not prognostic; however, when combined with CTC status by IE/FC (n = 273), double positivity (CTC+/DTC+, 8%) was significantly associated with reduced DRFS (P = 0.0270), BCSS (P = 0.0205), and OS (P = 0.0168). In HR-positive patients, double positivity (9% of 235) was significantly associated with reduced DRFS (P = 0.0285), BCSS (P = 0.0357), and OS (P = 0.0092). Conclusions: Detection of CTCs in patients with HR-positive early breast cancer was an independent prognostic factor for DRFS (using CellSearch) and BCSS (using IE/FC). Simultaneous detection of DTCs provided additional prognostic power for outcome, including OS.

Purpose: Recent developments in rare-cell technology have led to improved blood-based assays that allow for the reliable detection, enumeration, and more recently, genomic profiling of circulating tumor cells (CTC). We evaluated two different approaches for enumeration of CTCs in a prospective therapeutic study of patients with metastatic triple-negative breast cancer (TNBC). Experimental Design: The CellSearch system, a commercially available and U.S. Food and Drug Administration (FDA)–cleared assay for CTC enumeration, and IE/FC, an alternative method using EPCAM-based immunomagnetic enrichment and flow cytometry that maintains cell viability, were used to enumerate CTCs in the blood of patients with metastatic TNBC. CTC numbers were assessed at baseline and 7 to 14 days after initiation of therapy with cetuximab ± carboplatin in a phase II multicenter clinical trial (TBCRC 001). Results: CTC numbers from two methods were significantly correlated at baseline (r = 0.62) and at 7 to 14 days (r = 0.53). Baseline CTCs showed no association with time-to-progression (TTP), whereas CTCs at 7 to 14 days were significantly correlated with TTP (CellSearch P = 0.02; IE/FC P = 0.03). CTCs at both time points were significantly associated with overall survival (OS) [CellSearch: baseline (P = 0.0001) and 7 to 14 days (P < 0.0001); IE/FC: baseline (P = 0.0009) and 7 to 14 days (P = 0.0086)]. Conclusions: Our findings demonstrate that CTC enumeration by two different assays was highly concordant. In addition, results of both assays were significantly correlated with TTP and OS in patients with TNBC. The IE/FC method is also easily adapted to isolation of pure populations of CTCs for genomic profiling. Clin Cancer Res; 21(5); 1098–105. ©2014 AACR.

1049 Background: CALGB 40503 randomized HR+ MBC postmenopausal pts to Let alone or Let+Bev as first-line therapy. Adding Bev to Let prolonged progression-free survival (PFS) but not overall survival (OS) (Dickler JCO 2016). We performed a correlative study to assess prognostic and predictive value of CTCs in this population. Methods: Blood was collected prior to initiation of treatment. CTCs were enumerated using US FDA-cleared CellSearch assay; samples with ≥5 CTCs per 7.5 mLs of blood were considered CTC-positive (CTC+). Correlation of CTCs with PFS and OS was assessed using Cox regression analysis. Median follow-up was 39 months (mo). Results: Of 343 pts treated, 294 had CTC data and were included in this analysis. Original study results that showed improved PFS (HR = 0.75; 95% CI: 0.59-0.96) but not OS (HR = 0.87; 95% CI: 0.65-1.18) in pts receiving Let+Bev compared to Let were recapitulated in this subset. In multivariable analysis, CTC+ pts (31%) had significantly reduced PFS (HR = 1.49; 95% CI: 1.12-1.97) and OS (HR = 2.08; 95% CI: 1.49-2.93) compared to CTC- pts. Moreover, CTC+ pts who did not receive Bev had worse PFS (HR = 2.31; 95% CI: 1.54-3.47) and OS (HR = 2.64; 95% CI: 1.59-4.40) (Table). CTC+ pts who received Bev had numerically longer median PFS (18.0 vs. 7.0 mo) and OS (33.6 vs. 27.1 mo) compared to CTC+ pts with no Bev; however, tests for interaction between CTC status and Bev (yes vs. no) were not statistically significant for PFS (p=0.70) or OS (p=0.84). Conclusions: CTCs were highly prognostic in this study involving addition of Bev to first-line Let in postmenopausal HR+ MBC. Further research to determine the potential predictive value of CTCs in the setting of both metastatic disease and early breast cancer is warranted. Support: U10CA180821, U10CA180882; Genentech; https://acknowledgments.alliancefound.org ; NCT00601900. Survival in HR+ MBC pts receiving Let or Let+Bev stratified by CTC status. Clinical trial information: NCT00601900. [Table: see text]

We examined the prognostic impact of CTCs and DTCs detected at the time of definitive surgery in pts diagnosed with early breast cancer (EBC). Methods: Blood and bone marrow samples from 742 treatment-naïve EBC pts, not eligible for neoadjuvant therapy, were collected immediately prior to surgery. 87% were hormone receptor (HR)-positive, and 71% were node-negative. DTCs (n=584) were enumerated using an EPCAM-based method involving immunomagnetic enrichment and flow cytometry (IE/FC). CTCs were enumerated either by IE/FC (n=288) or CellSearch (n=380). Optimal cutoffs for CTC-/DTC-positivity were selected using Monte-Carlo cross validation. Multivariate Cox regression analysis was performed to determine correlation between levels of CTCs/DTCs vs. distant recurrence-free survival (DRFS) and breast cancer-specific survival (BCSS). The overall median follow-up was 7.1 years for DRFS and and 9.1 years for BCSS, but extended up to 13.3 years in subset analyses (Table 1). Results: CTC-positivity by CellSearch was associated with HER2-positivity (Fisher p=0.01). Using optimized cutoffs in multivariate analyses, we found that CTC-positive pts by CellSearch had a statistically significant increased risk of distant recurrence (HR 4.93, p=0.0067). Moreover, pts who were CTC-positive by IE/FC had a statistically significant increased risk of breast cancer-specific death (HR=3.54, p=0.0138). DTC status, by itself, was not prognostic; however, when combined with CTC status by IE/FC (n=273), positive detection for both (CTC+DTC+) was significantly associated with increased risk of distant recurrence (HR=3.09, p=0.0270) and breast cancer-specific death (HR=4.55, p=0.0205). Table 1.Multivariate analysis to determine the prognostic significance of CTCs and DTCs detected at the time of surgery in treatment naive early breast cancer patients. Adjusted for age at diagnosis, tumor size, pathologic stage, HR and HER2 status, node status and grade. DRFS BCSS Variable and Method% positiveHR [95% CI]Wald p-valueMedian f/u [range] Years*HR [95% CI]Wald p-valueMedian f/u [range] Years*CTC+ vs. CTC- by CellSearch94.93[1.56-15.6]0.00676.4 [0.16-13.8]4.50[0.76-26.5]0.09627.5 [0.71-15.0]CTC+ vs. CTC- by IE/FC401.92[0.93-3.95]0.07599.8 [0.09-18.5]3.54[1.29-9.72]0.013813.3 [1.93-18.5]DTC+ vs. DTC- by IE/FC181.46[0.75-2.81]0.26317.5 [0.09-18.5]1.48[0.64-3.42]0.35429.8 [1.55-18.5]CTC+DTC+ vs. CTC-DTC- by IE/FC8**3.09[1.14-8.40]0.02709.8 [0.09-18.5]4.55[1.26-16.39]0.020513.3 [1.93-18.5]*f/u - follow-up; **double positive Conclusions: We demonstrate the impact of quantitative evaluation of CTCs and DTCs by IE/FC. Our large single institution dataset, in which CTCs and DTCs have been contemporaneously quantitated, has the longest patient follow-up. Simultaneous detection of CTCs and DTCs at the time of definitive surgery in treatment naïve EBC pts is an independent prognostic factor associated with increased long-term risk of distant recurrence and death due to breast cancer. Given the lack of early endpoints for low-risk patients, liquid biopsy may be an important consideration for future studies. Citation Format: Magbanua MJM, Yau C, Wolf D, Lee JS, Chattopadhyay A, Scott JH, Yoder E, Hwang S, Alvarado M, Ewing CA, Delson AL, van't Veer L, Esserman L, Park JW. Detection of circulating tumor cells (CTC) in blood and disseminated tumor cells (DTC) in bone marrow at surgery identifies breast cancer patients (pts) with long-term risk of distant recurrence and breast cancer-specific death [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P3-01-02.

It is hypothesized that cancer prognosis may be related to the functional status of the immune system. We examined the correlation between peripheral blood CD4/CD8 ratio measured at the time of surgery and clinical outcome in patients diagnosed with early stage breast cancer. Patient and Methods Peripheral blood from 57 treatment-naïve early breast cancer patients, not eligible for neoadjuvant chemotherapy, was collected on the day of definitive surgery. CD4+ and CD8+ T cells were enumerated using flow cytometry and the ratio between the two immune cell populations was calculated. Cox regression analyses were performed to determine the relationship between CD4/CD8 ratio vs. distant disease-free survival (DRFS), breast cancer-specific survival (BCSS) and overall survival (OS). The median follow-up times were 10.1 years (range: 0.4-17.5) and 15.0 (range: 1.0-18.5) for DRFS and BCSS/OS, respectively. Results The patients' mean age at diagnosis was 54 years old (range: 31-78). 82% were hormone receptor-positive, 21% HER2-positive, and 61% node-negative. The median CD4/CD8 ratio was 2; and a ratio ≤ 2 was considered low. CD4/CD8 ratio was not associated with any of the clinicopathologic variable examined. Multivariate analysis using a survival model that adjusted for potential confounding factors (age, tumor size, grade, stage, hormone receptor, HER2, lymph-node status) revealed that patients with low CD4/CD8 ratio have statistically significant increased risk of distant recurrence (DRFS HR 5.3, Wald p=0.0381) and death (OS HR 3.8 Wald p=0.0271). Conclusions Immune dysfunction at the time surgery is correlated with long-term increased risk for metastatic recurrence and death. Larger clinical studies are warranted to confirm the results of this study. Citation Format: Magbanua MJM, Yau C, Scott JH, van't Veer L, Park JW, Esserman L, Campbell M. Low peripheral blood CD4/CD8 ratio at the time of surgery is a negative long-term prognostic factor in women with early stage breast cancer [abstract]. In: Proceedings of the 2018 San Antonio Breast Cancer Symposium; 2018 Dec 4-8; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2019;79(4 Suppl):Abstract nr P4-01-12.

Although leptomeningeal carcinomatosis is a well-established clinical syndrome, virtually nothing is known about the tumor cells responsible for this particularly aggressive metastatic process. To isolate cerebrospinal fluid–derived tumor cells (CSFTC) from 15 patients with metastatic breast cancer diagnosed with leptomeningeal carcinomatosis, CSF samples were subjected to a two-step method involving immunomagnetic enrichment and fluorescence-activated cell sorting (IE/FACS), a technique previously used for isolating circulating tumor cells (CTC) from blood. CSFTCs were subjected to genome-wide copy number analysis by array comparative genomic hybridization. Genomic profiling was successfully performed for 13 of 15 patients (87%). Copy number analysis in CSFTCs revealed genomic alterations commonly observed in primary breast cancer and CTCs, indicating their malignant origin. Interestingly, 12 (92%) harbored high-level gains on the 8q24 locus, which includes the MYC oncogene. Comparison of CSFTCs against corresponding archival primary tumors in six patients revealed clonal relationships with some divergence. Good concordance among serial samples attested to the reproducibility of the assay. Our approach for isolation and molecular analysis of CSFTCs yielded new insights into the molecular nature of these cells. Further genomic and functional analyses may help elucidate mechanisms by which tumor cells metastasize to the central nervous system. Cancer Res; 73(23); 7134–43. ©2013 AACR.

Preclinical data have demonstrated that the combination of antihuman epidermal growth factor receptor-2 (anti-HER2) and antivascular endothelial growth factor (anti-VEGF)--targeted agents has antitumor activity; these data indicate certain patients with HER2-overexpressing breast cancer may derive clinical benefit from this combination. The purpose of this single-arm phase II study was to determine the efficacy and safety of the dual-targeting combination of lapatinib and bevacizumab. Women with HER2-overexpressing advanced breast cancer received 1,500 mg oral lapatinib daily plus 10 mg/kg IV bevacizumab every 2 weeks. The primary endpoint was progression-free survival (PFS) at week 12; secondary endpoints included overall tumor response rate (ORR), clinical benefit rate (CBR), duration of response, time-to-response, PFS, and safety. Circulating tumor cells (CTC) and circulating endothelial cells (CEC) were measured at baseline and during study treatment as potential response markers. Fifty-two patients with stage IV disease were enrolled. The 12-week investigator-assessed PFS rate was 69.2% (95% confidence interval [CI]: 54.9, 81.3). Median PFS was 24.7 weeks (95% CI: 20.4, 35.1), and the CBR was 30.8% (95% CI: 18.7, 45.1). Of 45 patients with measurable disease, 6 were determined to have a partial response per Response Evaluation Criteria in Solid Tumors (ORR: 13.3%; 95% CI: 5.1, 26.8). The most common adverse events (AEs) included diarrhea, rash, and fatigue; most of these were either grade 1 or 2. Clinical responses were correlated with decreases in CTC and CEC. Lapatinib plus bevacizumab was active in patients with HER2-overexpressing breast cancer. The AE profile of the combination was consistent with the known profiles for these agents.

Background: The paucity of information regarding the molecular nature of CTCs can be largely attributed to the difficulty of isolating these rare cells. As such, efforts on RNA profiling of CTCs have been limited to studies using immuno-enriched samples containing a high background of leukocytes. Methods: We developed a two-step process: immunomagnetic enrichment followed by fluorescence activated cell sorting (IE/FACS) to isolate CTCs away from leukocytes and performed expression analysis on a limited panel of genes. Magnetic beads coated with EpCAM mAb were used to enrich for tumor cells. Enriched samples were then subjected to FACS using fluorescently labeled mAbs to distinguish tumor cells (EpCAM+) from leukocytes (CD45+) during sorting. CTCs and matched leukocytes were isolated from 67 sequential patients with MBC. Total RNA from isolated 20–50 cells was reverse-transcribed into cDNA. Sixty four (64) CTC-related genes from previous published reports were chosen for expression analysis. cDNA of these genes were pre-amplified and analyzed in triplicate via Taqman®-based RT-PCR in a low density array format. Statistical analysis of gene expression data was performed using Realtime Statminer®. Results: Unsupervised hierarchical clustering analysis showed that CTCs clustered away from the leukocytes. Differential gene expression analysis revealed the up-regulation of several genes including EPCAM, MUC1, and KRT19 in CTCs (adjusted p Discussion: We demonstrate the feasibility of isolation and gene expression analysis of CTCs. Molecular profiling confirmed that isolated CTCs were highly pure with little or no evidence of leukocyte contamination. This approach can serve as a non-invasive source of tumor tissue for further molecular characterization of CTCs and for monitoring of therapeutic efficacy of targeted therapies in clinical trials. This study was supported by CALGB and BCRF. Citation Information: Cancer Res 2011;71(24 Suppl):Abstract nr P4-07-17.

A debilitating complication of breast cancer is the metastatic spread of tumor cells to the leptomeninges or cerebrospinal fluid (CSF). Patients diagnosed with this aggressive clinical syndrome, known as leptomeningeal carcinomatosis, have very poor prognosis. Despite improvements in detecting cerebrospinal fluid tumor cells (CSFTCs), information regarding their molecular biology is extremely limited. In our recent work, we utilized a protocol previously used for circulating tumor cell isolation to purify tumor cells from the CSF. We then performed genomic characterization of CSFTCs as well as archival tumors from the same patient. Here, we describe the microarray data and quality controls associated with our study published in the Cancer Research journal in 2013 [1]. We also provide an R script containing code for quality control of microarray data and assessment of copy number calls. The microarray data has been deposited into Gene Expression Omnibus under accession # GSE46068.

Background: Clinical studies have demonstrated the prognostic and predictive value of the number of CTCs in metastatic breast cancer. However, it is the molecular characterization of CTCs that offers insight into the biology of these tumor cells in the context of personalized treatment. Methods: Ten to twenty mLs of blood from 32 metastatic breast cancer patients with poor prognosis (≥5 CTCs in 7.5mLs blood) were subjected to immunomagnetic enrichment. Pools of ∼20 CTCs [EpCAM+, CD45-, nucleated] were isolated via fluorescence activated cell sorting, FACS. Genomic DNA was subjected to whole genome amplification followed by array comparative genomic hybridization (CGH) analysis. Serial genomic profiling was performed in three patients. Genomic profiles from archival primary tumor available from 4 patients were compared to matched CTCs. Copy number analysis was performed using the Nexus® Copy Number. Genomic alterations with p ≥0.05 were considered significant. Results: Genomic profiling of CTCs revealed significant recurrent (≥35%) genomic alterations including gains in 8q12.1, 8q24 and losses in 1p36, 4p16, 5q21, 10q22, 11q24-25, and 13q34. Good concordance of CGH profiles obtained from CTCs isolated from serial blood samples attested to the reproducibility of the assay. Furthermore, comparisons of CTCs with matched archival primary tumors confirmed shared lineage with some divergence. Conclusions: Copy number analysis revealed common genomic alterations in CTCs as well as shared aberrations with matched primary tumor. In addition, we demonstrated the feasibility of serial genomic profiling of CTCs. Future work will determine associations between genomic aberrations in CTCs and clinicopathological parameters. Uncovering genomic alterations in CTCs may lead to the discovery of therapeutic biomarkers to specifically target these cells in breast cancer patients who respond poorly to current aggressive therapies. Citation Information: Cancer Res 2010;70(24 Suppl):Abstract nr PD04-10.

BACKGROUND: The presence of disseminated tumor cells (DTCs) in bone marrow of early breast cancer (EBC) patients is a strong predictor of poor prognosis. We assessed heterogeneity in copy number, PIK3CA mutation, and gene expression in DTCs to shed light on the molecular biology of these cells. METHODS: We isolated EPCAM-positive DTCs in 71 EBC patients using immunomagnetic enrichment and fluorescence-activated cell sorting (IE/FACS). Isolated DTCs, along with corresponding primary tumors (n=16), were subjected to genome-wide copy number profiling (n=47) by array comparative genomic hybridization, and mutation screening of the PIK3CA gene (n=53) by Sanger sequencing. The expression of 64 cancer-related genes in DTCs was analyzed by microfluidic-based multiplexed RT-QPCR (n=30). DTC expression profiles were compared with available gene expression data from circulating tumor cells (CTCs) of metastatic breast cancer patients. RESULTS: Copy number profiles of DTCs were less aberrant and distinct from their corresponding primary tumors. PIK3CA mutations detected in 26% of DTCs were mutually exclusive to those found in matched primary tumors. Expression profiles of DTCs were distinguishable from marrow leukocytes, and displayed up-regulation of oncogenes MYC and CCNE1. Unsupervised hierarchical clustering analysis revealed two subtypes of DTCs: (1) luminal with dual epithelial-mesenchymal properties (high ESR1 and VIM/CAV1 expression), and (2) basal-like with proliferative/stem cell-like phenotype (low ESR1 and high MKI67/ALDH1A1 expression). DTCs possessed gene expression signatures that were unique from those of CTCs. ALDH1A1, CAV1 and VIM were up-regulated in DTCs relative to CTCs. ESR1/ER and ERBB2/HER2 status in DTCs vs. corresponding primary tumors showed high discordance (40% and 43%, respectively), suggesting shift in biomarker status in micrometastatic cells in the bone marrow. CONCLUSIONS: We demonstrate the feasibility of isolation and comprehensive molecular characterization of DTCs from bone marrow of EBC patients. Comparative genomic analysis suggests that DTCs disseminate early and acquire genomic aberrations independently of the primary tumor. Expression profiling revealed two distinct subpopulations of DTCs. Validation in larger cohorts is needed to confirm the presence of these molecular subtypes and to evaluate their biological and clinical significance. Citation Format: Mark Jesus M. Magbanua, Hope Rugo, Louai Hauranieh, Ritu Roy, Janet Scott, Jen Chieh Lee, Feng Hsiao, Eduardo Sosa, Denise Wolf, Laura van't Veer, Laura Esserman, John Park. Genomic and expression profiling reveals molecular heterogeneity of disseminated tumor cells in early breast cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 5578.

Little is known about the dynamics of CTCs during treatment and its clinical significance. We examined the predictive utility of serial CTC analysis in ER+HER2- MBC patients (pts) treated with chemotherapy in the CALGB 40502/NCCTG N063H study, a randomized phase III trial of weekly paclitaxel compared to weekly nanoparticle albumin bound nab-paclitaxel or ixabepilone +/- bevacizumab as first-line therapy (ClinicalTrials.gov Identifier: NCT00785291, Support: U10CA180821, U10CA180882). Methods: Of the 783 pts treated, 469 had ≥3 serial blood samples (including baseline) successfully analyzed for CTCs by CellSearch® and were included in this analysis (n=2,202). Samples with ≥5 CTCs per 7.5 mLs of blood were considered CTC+. The prognostic and predictive performance of baseline CTCs (bCTC) and CTC status from baseline to cycle 2 (b2CTC) were compared to a novel latent mixture model classification based on trajectory of CTCs (tCTC). Akaike Information Criterion (AIC) was used to select the model (bCTC vs b2CTC vs tCTC) that best predicts overall survival (OS), progression-free survival (PFS), and time-to-treatment failure (TTF). Results: 53% of the pts were CTC+ at baseline. b2CTC status changed in 36% of the pts, most of whom were CTC+CTC- (35%), and very few CTC-CTC+ (1%); the rest of the pts did not experience a change in b2CTC status (46% CTC-CTC- and 19% CTC+CTC+). Mixture model analysis revealed 4 groups of pts that show distinct tCTC patterns over the course of treatment: consitently very low/undectectable CTCs (tCTCneg, 56%), low (tCTClo, 24%), intermediate (tCTCmid, 15%), or high (tCTChi, 5%). bCTC, b2CTC, and tCTC were significantly correlated with tumor subtype (all p OSPFSTTFModelsHR (95% CI)p-valueHR (95% CI)p-valueHR (95% CI)p-valuebCTC (vs CTC-) → CTC+2.5(1.8-3.3) Pts with tCTClo, tCTCmid and tCTChi had significantly shorter OS, PFS and TTF compared to those with tCTCneg. After adjustment for potential confounders, AIC analysis revealed that the tCTC model best predicts OS and PFS, while b2CTC best predicts TTF. AIC Score*ModelsOSPFSTTFbCTC243240514199b2CTC240540384186tCTC237940264188*The lowest AIC score indicates the best model. Conclusions: Analysis of CTC trajectory patterns identified pts with poor outcome who could potentially benefit from more effective treatment. Validation in independent cohorts is warranted to confirm the findings in this study. Citation Format: Magbanua MJ, Hendrix L, Hyslop T, Barry WT, Winer EP, Hudis C, Toppmeyer D, Burnstein H, Qadir M, Ma C, Scott JH, Park JW, Rugo HS. Trajectory patterns of circulating tumor cells (CTC) in chemotherapy-treated metastatic breast cancer (MBC) patients predict poor clinical outcomes: CALGB 40502 (Alliance)/NCCTG N063H study [abstract]. In: Proceedings of the 2017 San Antonio Breast Cancer Symposium; 2017 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2018;78(4 Suppl):Abstract nr P2-01-01.

Background: The role of bevacizumab, a recombinant humanized monoclonal antibody directed against vascular endothelial growth factor, in the treatment of pancreatic cancer remains unclear. The objectives of this study were to determine safety and efficacy in chemotherapy-naive patients with metastatic pancreatic cancer receiving bevacizumab in combination with fixed-dose rate (FDR) gemcitabine and low-dose cisplatin. Methods: Eligible patients received gemcitabine 1,000 mg/m2 at FDR infusion (10 mg/m2 per minute), cisplatin 20 mg/m2, and bevacizumab 10 mg/kg, on days 1 and 15 of a 28-day cycle. Patients were monitored by computed tomography scans every two cycles and monthly serum CA19-9 measurements. Results: Of 52 patients eligible for analysis, ten (19.2%) had an unconfirmed response and 30 (57.7%) had stable disease. Of 35 patients with elevated baseline CA19-9 levels, 20 (57.1%) had ≥50% biomarker decline during treatment. Median time to tumor progression was 6.6 months and median survival was 8.2 months (estimated 1-year survival, 36%). Grade 3/4 toxicities possibly related to bevacizumab included thromboembolic events (15.1%), hypertension (13.2%), gastrointestinal bleeding (9.4%), cardiac events (7.5%), and bowel perforation (5.7%). Plasma vascular endothelial growth factor and basic fibroblast growth factor levels and circulating tumor cell concentration did not correlate with overall survival, either at baseline or after 2 months of therapy. Conclusions: This bevacizumab-containing study regimen is modestly effective in patients with metastatic pancreatic cancer, although occasional serious complications may occur. Given the negative results of CALGB 80303, future efforts should be focused on identifying those specific patients who are most likely to benefit from bevacizumab-based therapy.

The urological oncology section is relatively long this month, and this reflects the many high-quality manuscripts we receive. When you consider our relatively high rejection rate, you will understand just how many papers on this topic are submitted. The high quality of oncology papers is clear in this month’s section. You will also notice that all but one of them are on prostate cancer, and the reason for this is similar to that mentioned above, as this topic is, as might be expected, the most commonly submitted in this section. However, I am only too happy to reassure readers, and those primarily interested in other types of urological cancer, that the imbalance in this month’s section is not a permanent fixture. OBJECTIVE To determine the feasibility of using flow cytometry fluorescence-activated cell sorting (FACS) analysis for detecting circulating epithelial cells (CECs) in patients with hormone-refractory prostate cancer (HRPC), and to determine whether CECs can be used to predict survival in these patients. PATIENTS AND METHODS Several prognostic models that include routinely used clinical and laboratory variables for predicting survival in men with HRPC have been reported; the presence of CECs measured by reverse transcriptase-polymerase chain reaction for prostate-specific antigen (PSA) in patients with HRPC is an independent prognostic factor for survival. CECs detected by FACS analysis correlate with advanced stage and poor survival outcome. A retrospective study was conducted to assess the presence of CECs by FACS analysis in metastatic HRPC patients initiating systemic chemotherapy with a taxane-based regimen. The association between clinical variables previously described and the presence of CECs along with the effect of the magnitude of CECs on survival was calculated, in 41 patients with HRPC, all of whom had peripheral blood collected for FACS analysis. RESULTS Except for four patients, all those with metastatic HRPC had detectable CECs. Among these patients, the number of CECs/mL was correlated with age, serum PSA level and serum alkaline phosphatase (ALP). Higher serum levels of PSA and ALP predicted a poor survival outcome. Similarly, patients with ≤1.8 CECs/mL had a significantly longer survival than those with more CECs/mL (P = 0.02). With a median follow-up of 15.4 months, the median overall survival for all patients was 18.4 months. CONCLUSIONS The presence of more CECs in patients with metastatic HRPC was associated with a poorer survival outcome; levels of ≥1.8 CECs/mL were associated with a shorter survival in patients with metastatic HRPC.

Circulating tumor cells are commonly observed in the peripheral blood of advanced breast cancer patients. We tested the feasibility of tumor cell detection in the cerebrospinal fluid (CSF) and studied its clinical relevance in leptomeningeal metastasis (LM) of breast cancer. CSF samples were collected from 38 metastatic breast cancer patients known or suspected to have LM. Control CSF samples were collected from 14 individuals without solid tumor malignancy. We used a modified CellSearch™ assay and an alternative EPCAM-based method involving immunomagnetic enrichment followed by flow cytometry (IE/FC) to enumerate CSF tumor cells (CSFTCs). CSFTCs were assayed at time of LM diagnosis and over the course of LM-directed therapy. We analyzed a total of 102 CSF samples with modified CellSearch™. The CSFTC counts were strongly correlated with the corresponding IE/FC results (Pearson’s r = 0.94). Twenty-eight out of 30 samples in which malignant cells were identified by CSF cytology were CSFTC-positive by modified CellSearch™. Baseline CSFTC levels from 21 patients eventually diagnosed with LM were significantly higher than the controls (p = 0.0202), whereas 13 patients deemed not to have LM showed CSFTC results indistinguishable from the controls. In patients with serial samples, it was possible to monitor CSFTC levels as a potential biomarker of treatment response. CSFTC detection using a modified CellSearch™ assay demonstrated high sensitivity in detecting malignant cells in CSF and may be a promising method for diagnosing LM and monitoring LM during treatment.

Circulating tumor cells (CTCs) are prognostic in all stages of breast cancer. However, since they are extremely rare, little is known about the molecular nature of these cells. We report a novel strategy for the isolation and expression profiling of pure populations of CTCs derived from peripheral blood. We developed a method to isolate CTCs based on immunomagnetic capture followed by fluorescence-activated cell sorting (IE/FACS). After assay validation using the BT474 cell line spiked into blood samples in vitro, RNA from CTCs isolated from the blood of five metastatic breast cancer (MBC) patients was linearly amplified and subjected to gene expression profiling via cDNA microarrays. We isolated a range of 9-993 captured CTCs from five MBC patients’ blood and profiled their RNA in comparison to a diverse panel of primary breast tumors (n = 55). Unsupervised hierarchical clustering revealed that CTC profiles clustered with more aggressive subtypes of primary breast tumors and were readily distinguishable from peripheral blood (PB) and normal epithelium. Differential expression analysis revealed CTCs to have downregulated apoptosis, and they were distinguishable from PB by the relative absence of immune-related signals. As expected, CTCs from MBC had significantly higher risk of recurrence scores than primary tumors (p = 0.0073). This study demonstrates that it is feasible to isolate CTCs from PB with high purity through IE/FACS and profile them via gene expression analysis. Our approach may inform the discovery of therapeutic predictors and be useful for real-time identification of emerging resistance mechanisms in MBC patients.

Cytokines produced by T lymphocytes are critical to the efficacy of a given immune response and dysregulation of immune responses may play a role in cancer progression. We assessed the intracellular cytokine profiles of T cells in the peripheral blood of women with breast cancer and explored the relationship of these responses with the presence of cancer in lymph nodes and bone marrow. Peripheral blood lymphocytes from 84 patients and 26 healthy volunteers were analyzed by 4-color flow cytometry for surface markers and for intracellular cytokines. Bone marrow samples from some of these patients were also collected and analyzed for the presence of epithelial cells (micrometastases) by flow cytometry. The percentages of both CD4(+) and CD8(+) cells producing type1 (IL-2, IFN-gamma or TNF-alpha) and type 2 (IL-4) were significantly lower in patients with breast cancer compared to healthy controls. These results indicate a general immune dysfunction in these patients as opposed to a shift in the balance of type1 and type2 cells. These dysregulated T cell responses did not correlate with age, stage of disease, or nodal status. However, we did observe a correlation between number of micrometastases in the bone marrow and T cell responsiveness.

Background: CTCs offer a relatively non-invasive source of metastatic tissue for molecular analysis. To elucidate the underlying biology of blood-borne metastasis, we profiled CTCs from MBC patients (pts). Methods: CTCs were isolated by IE/FACS (immunomagnetic enrichment/fluorescence-activated cell sorting). Expression of 64 cancer-related genes in CTCs was analyzed via microfluidic-based multiplex QPCR. Genome-wide copy number (CN) analysis by array comparative genomic hybridization (ACGH) was performed on CTCs isolated from the same tumor-enriched blood samples. The Illumina platform was utilized for next generation sequencing and data was analyzed using NantOmics analysis pipeline and Nexus 8.0 software. Mutations were confirmed by Sanger sequencing or by digital droplet PCR. Results: Expression profiles of CTCs from 105 MBC pts clustered away from those of blood, indicating high-purity isolation of CTCs by IE/FACS. In addition to EPCAM, tumor-related genes, e.g., CCND1, MUC1, and TTF3 were upregulated in CTCs. Approximately 70% of the CTC samples were considered ER-positive, of which 47% were ER+HER2+, and 22% ER+HER2-. Among the ER+HER2- samples, about two-thirds (68%) had low proliferative (MKI67) status. HER2-positive and triple-negative CTCs accounted for 27% and 30% of the samples, respectively. Furthermore, 30% of the samples were assigned to luminal A, 6% to luminal B, 13% to Her2-enriched, 33% to basal-like, and 12% to normal-like subtypes. Expression profiling of CTCs in 74 serial blood samples from 28 pts showed fluctuations in expression at the gene-level, while subtype calls were mostly consistent across time points. CTCs from 49 of the 105 pts analyzed by ACGH revealed numerous genomic aberrations such as 1q/8q gains and 8p/16q losses, consistent with breast cancer origin. CN profiles grouped into three major clusters: CTCs exhibiting low genomic instability, 8q gain, and 1q gain/11q loss. ERBB2 and CCND1 were upregulated in CTCs showing increased genomic alterations. Changes in ER (n=102) and HER2 (n=130) status between CTCs and matched primary tumors (PT) were observed in 27% and 23% of the pts, respectively, indicating that biomarker status may change during disease progression. Comparative analysis of CN data from low-pass whole genome sequencing (WGS) of CTCs vs. matched PTs (n=7 pairs) demonstrated clonal-relatedness as well as some genetic divergence. WGS (38x) and whole exome sequencing (140x) analysis of CTCs from an index pt diagnosed with invasive lobular carcinoma detected numerous genomic aberrations, including a copy loss and a frameshift mutation in E-cadherin (CDH1). Interestingly, analysis of CN and mutation data revealed that CTCs were more closely related to the lymph node metastases than to the PT. Single-cell sequencing of CTCs revealed uniformity in genome-wide CN alterations, while cell-to-cell heterogeneity was observed only when single-cell expression profiles were analyzed. Conclusions: Comprehensive molecular characterization provided novel insights into the biology of breast CTCs. Further CTC profiling may open avenues for discovery and development of novel biomarkers for personalized medicine and strategies to prevent metastasis. Citation Format: Magbanua MJ, Hauranieh L, Roy R, Wolf D, Benz S, Vaske C, Pendyala P, Sosa E, Scott J, Lee JS, Ordonez A, Ho B, Solanki T, VantVeer L, Rugo H, Park J. Comprehensive genomic characterization of circulating tumor cells (CTCs) in metastatic breast cancer (MBC) sheds light on the biology of blood-borne metastasis [abstract]. In: Proceedings of the 2016 San Antonio Breast Cancer Symposium; 2016 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2017;77(4 Suppl):Abstract nr P1-01-04.

The aim of this study was to determine the potential and mechanism of tumor necrosis factor beta (TNFbeta) mediated cytolysis in human ovarian and cervical carcinoma cells.The cytolytic potential of tumor necrosis factor alpha (TNFalpha) and TNFbeta was determined using the TNF reference cell line L929 and human ovarian (SK-OV-3, CaOV-3) and cervical (SiHa, HT-3) carcinoma cell lines. We have previously reported the effects of the lipoxygenase enzyme inhibitor, nordihydroguaiaretic acid, the oxygen radical scavenger glutathione, and fragmented DNA-specific staining with diamidino-2-phenylindole and ApopTag on TNFalpha-mediated cytolysis in these cells. The effects of these agents on TNFbeta-mediated cytolysis were determined.All of the cell lines express a protein-synthesis-dependent TNFalpha and TNFbeta resistance mechanisms. When protein synthesis is inhibited the cytolytic activity of TNFbeta was fivefold greater than that of TNFalpha in L929 cells. In contrast, the cytolytic activity of TNFalpha was fivefold greater than that of TNFbeta in the human cells. Like the TNFalpha cytolytic mechanism, the TNFbeta cytolytic mechanism is dependent on lipoxygenase enzymes, but not oxygen radicals, and results in apoptosis.To date there is little information about the cytolytic potential of TNFbeta in human cells. The fact that the cytolytic mechanism of TNFbeta appears very similar to that of TNFalpha could be important to our understanding of the potential of these closely related cytokines in anticancer therapies. Although the cytolytic potential of TNFbeta is greater than that of TNFalpha in mouse cells, this is not true in human cells and could limit the efficacy of TNFbeta in anticancer therapies.

Molecular characterization of circulating tumor cells (CTC) from blood is technically challenging because cells are rare and difficult to isolate. We developed a novel approach to isolate CTCs from blood via immunomagnetic enrichment followed by fluorescence-activated cell sorting (IE–FACS). Isolated CTCs were subjected to genome-wide copy number analysis via array comparative genomic hybridization (aCGH). In clinical studies, CTCs were isolated from 181 patients with metastatic breast cancer, 102 of which were successfully profiled, including matched archival primary tumor from five patients. CTCs revealed a wide range of copy number alterations including those previously reported in breast cancer. Comparison with two published aCGH datasets of primary breast tumors revealed similar frequencies of recurrent genomic copy number aberrations. In addition, serial testing of CTCs confirmed reproducibility and indicated genomic change over time. Comparison of CTCs with matched archival primary tumors confirmed shared lineage as well as some divergence. We showed that it is feasible to isolate CTCs away from hematopoietic cells with high purity through IE–FACS and profile them via aCGH analysis. Our approach may be used to explore genomic events involved in cancer progression and to monitor therapeutic efficacy of targeted therapies in clinical trials in a relatively noninvasive manner. Cancer Res; 73(1); 30–40. ©2012 AACR.

Background The number of circulating tumor cells (CTCs) in metastatic prostate cancer patients provides prognostic and predictive information. However, it is the molecular characterization of CTCs that offers insight into the biology of these tumor cells in the context of personalized treatment. Methods We developed a novel approach to isolate CTCs away from hematopoietic cells with high purity, enabling genomic analysis of these cells. The isolation protocol involves immunomagnetic enrichment followed by fluorescence activated cell sorting (IE/FACS). To evaluate the feasibility of isolation of CTCs by IE/FACS and downstream genomic profiling, we conducted a pilot study in patients with metastatic castration resistant prostate cancer (CRPC). Twenty (20) sequential CRPC patients were assayed using CellSearch™. Twelve (12) patients positive for CTCs were subjected to immunomagnetic enrichment and fluorescence activated cell sorting (IE/FACS) to isolate CTCs. Genomic DNA of CTCs was subjected to whole genome amplification (WGA) followed by gene copy number analysis via array comparative genomic hybridization (aCGH). Results CTCs from nine (9) patients successfully profiled were observed to have multiple copy number aberrations including those previously reported in primary prostate tumors such as gains in 8q and losses in 8p. High-level copy number gains at the androgen receptor (AR) locus were observed in 7 (78%) cases. Comparison of genomic profiles between CTCs and archival primary tumors from the same patients revealed common lineage. However, high-level copy number gains in the AR locus were observed in CTCs, but not in the matched archival primary tumors. Conclusions We developed a new approach to isolate prostate CTCs without significant leukocyte admixture, and to subject them to genome-wide copy number analysis. Our assay may be utilized to explore genomic events involved in cancer progression, e.g. development of castration resistance and to monitor therapeutic efficacy of targeted therapies in clinical trials in a relatively non-invasive manner.

No standard of care exists for patients with metastatic pancreatic cancer following progression on first-line chemotherapy. Based on potential for additive or synergistic activity by concurrent inhibition of VEGF and EGFR, we conducted a phase II study evaluating the combination of bevacizumab plus erlotinib in this patient population.Patients with metastatic pancreatic adenocarcinoma, ECOG performance status 0-1, and previous exposure to 1-3 systemic therapies (at least one gemcitabine-based) were eligible. Treatment consisted of bevacizumab 15 mg/kg every 21 days plus erlotinib 150 mg daily.Thirty-six patients were enrolled, including eight who had previously received VEGF-targeted therapy and nine prior erlotinib. Median number of treatment cycles was 2 (range, 1-7). Common toxicities included rash (72%), diarrhea (25%), venous thromboembolic events (15%), and hypertension (11%). One patient demonstrated partial response and seven others stable disease for2 cycles. CA19-9 decline ≥25% was observed in 4/26 patients with baseline levels2x ULN. Estimated median time to progression was 40 days (95% CI, 35-41 days) and median survival 102 days (95% CI, 74-117 days), with a 6-month survival rate of 22%. Baseline concentration of circulating endothelial cells (CD45(-)/CD34(+)/CD31(+)) was inversely associated with overall survival.The combination of bevacizumab and erlotinib is safe but relatively ineffective in patients with gemcitabine-refractory metastatic pancreatic cancer. Future studies should focus on refining subsets of patients in this challenging population likely to benefit from treatment beyond first-line.

Background: Recent enumeration studies on CTCs have demonstrated the clinical value of these cells. The molecular biology of CTCs, however, remains poorly understood. Methods: We performed RNA and DNA profiling of CTCs from metastatic breast cancer (MBC) patients. 244 blood samples from 162 MBC patients were subjected to immunomagnetic enrichment and fluorescence activated cell sorting (IE/FACS) to isolate highly pure CTCs. Microfluidic-based multiplex QPCR analysis was utilized to determine the expression levels of 64 cancer-related genes. Parallel genome-wide copy number analysis by array comparative genomic hybridization was also performed on CTCs isolated from the same enriched blood samples. Results: Transcriptional analysis of CTCs was successfully performed in 151 samples from 105 patients. We observed the up-regulation of several genes including CCND1, EPCAM, KRT7 and MUC1 and the down-regulation of hematopoietic-related genes including PTPRC (CD45) and CD68 (adjusted p Conclusions: Parallel gene expression and copy number profiling provided novel insights on the biology of CTCs. Molecular characterization of CTCs may shed further light on the biology of metastasis and disease progression. Citation Format: Mark Jesus Mendoza Magbanua, Louai Hauranieh, Ritu Roy, Praveen Pendyala, Eduardo Sosa, Janet Scott, Hope Rugo, John Park. Comprehensive molecular profiling of circulating tumor cells from metastatic breast cancer patients. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1591. doi:10.1158/1538-7445.AM2015-1591

BACKGROUND Renal cell carcinoma (RCC) is characterized by von Hippel-Lindau gene inactivation and vascular endothelial growth factor (VEGF) overproduction. The mechanism of VEGF overproduction may involve protein kinase C (PKC) delta and zeta isoforms. UCN-01 (7-hydroxystaurosporine) is a selective inhibitor of PKC. Given the historically low objective response rate in RCC, time to disease progression (TTP) as an alternative endpoint was employed to evaluate the antitumor activity of UCN-01 in RCC. METHODS Patients with progressive, metastatic RCC received UCN-01 intravenously on Day 1 of each 21-day cycle. The initial dose was 90 mg/m2 and all subsequent doses were 45 mg/m2 unless modified for toxicity. TTP was the primary endpoint, defined as the period from the first day of treatment until disease progression. Detection of circulating EpCAM-positive renal carcinoma cells was undertaken for predictive or prognostic potential. RESULTS Twenty-one patients were enrolled in this Phase II study. Accrual was halted after failure to reach a predetermined efficacy requirement with 7 patients remaining disease progression free after 4 months (6 cycles). The median TTP for all patients was 2.67 months (range, 0.4–7.6 months). There were no objective responses. Therapy was generally well tolerated. Thirteen patients had < 0.6 EpCAM-positive cells/mL (considered negative) at all time points measured. Two patients had detectable EpCAM-positive cells at a single time point with other measurements being negative. CONCLUSIONS TTP is a novel endpoint for the evaluation of agents in RCC. UCN-01 did not demonstrate significant antitumor activity. No evidence for significant circulating EpCAM-positive cells was found in this study cohort. Cancer 2004. © 2004 American Cancer Society.

The analysis of the lytic mechanism initiated by TNFalpha in three human ovarian cell lines (CAOV-3, SK-OV-3, and OVCAR-3) and in three human cervical cell lines (SIHa, HT-3, and ME-180) in the presence of inhibitors of protein synthesis indicates that this lytic mechanism is similar to the protein synthesis-independent lytic mechanism initiated by TNFalpha in L929 cells. In addition to being independent of protein synthesis, the lytic mechanism initiated by TNFalpha in human ovarian and cervical carcinoma cells is also not dependent on the formation of oxygen radicals, as shown by the inability of the oxygen radical scavengers DMSO or glutathione to inhibit lysis. In spite of the fact that oxygen radicals are not involved in lysis, the TNFalpha lytic mechanism initiated in the human ovarian and cervical carcinoma cells is dependent on the activity of lipoxygenase enzymes. This was shown by the ability of the lipoxygenase enzyme inhibitor, NDGA, to block TNFalpha-mediated lysis. Using DNA-specific staining (DAPI and Apoptag) it was shown that when the human ovarian and cervical carcinoma cells are lysed by TNFalpha, death occurs via apoptosis.

The analysis of the effect of the protein synthesis inhibitors emetine (EM) or actinomycin D (ACT-D) on the TNF alpha-mediated cytolysis of L929 target cells demonstrates a biphasic, concentration (10(-12)-10(-4) M)-dependent curve indicative of two cytolytic mechanisms operative in L929 cells. One TNF alpha cytolytic mechanism is dependent on protein synthesis in the target cells, while the other cytolytic mechanism is protein synthesis independent. Both TNF alpha cytolytic mechanisms cause apoptosis (fragmentation of DNA) as shown by the TNF alpha-mediated release of tritiated thymidine, Apoptag, and DAPI staining, in the presence or absence of EM or ACT-D. The two cytolytic mechanisms are also similar in their requirement for lipoxygenase enzymes as shown by the ability of nordihydroguaiaretic acid (10(-6)-10(-5) M) and ketoconazole (4 x 10(-6)-2 x 10(-5) M) to block TNF alpha-mediated lysis of the target cells. However, the two cytolytic mechanisms differ in their requirement for the production of oxygen free radicals. The oxygen free radical scavengers, dimethylsulphoxide (0.2-0.4 M) and glutathione (2 x 10(-6)-10(-5) M) block the TNF alpha-mediated cytolysis of target cells in the absence of protein synthesis inhibitors, but not in the presence of EM or ACT-D.

Background: Molecular studies of EpCAM-positive cells found in the blood of cancer patients have been limited to immuno-enriched samples containing a high background of leukocytes. We developed a process to isolate rare EpCAM-positive cells and subjected them to DNA and RNA profiling. Methods: Blood was subjected to immunomagnetic enrichment using EpCAM beads followed by fluorescence activated cell sorting (IE/FACS) to isolate EpCAM-positive cells away from leukocytes (CD45+). Duplicate samples of 20 cells were isolated from the same enriched blood from 53 MBC patients and then subjected to DNA and RNA profiling in parallel. For DNA profiling, sorted cells were subjected to BAC array comparative genomic hybridization analysis following whole genome amplification. For RNA profiling, QPCR analysis was performed on sixty four (64) cancer-related genes using Taqman® low density arrays. For non-tumor controls, RNA profiling was performed on matched leukocytes (CD45+) isolated from the same enriched blood samples from 44 of the 53 patients. Results: Differential gene expression analysis between EpCAM-positive cells and matched leukocytes confirmed the up-regulation of EPCAM and other genes including MUC1 and KRT19 (adjusted p Discussion: We demonstrate the feasibility of isolation and molecular analysis of highly pure EpCAM-positive cells in the blood. Our results strongly suggest that epithelial cells captured from blood of MBC patients are malignant in nature and are therefore circulating tumor cells. This approach can serve as a non-invasive source of highly pure metastatic tumor tissue for further molecular characterization. This study was supported by CALGB and BCRF. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P2-01-05.

9 Background: We developed a novel approach to isolate circulating tumor cells (CTCs) via immunomagnetic enrichment followed by fluorescence activated cell sorting (IE/FACS) and examined copy number alterations in these cells. Methods: Magnetic beads coated with EpCAM mAb were added to blood to enrich for tumor cells. Enriched samples were then subjected to FACS analysis using differentially labeled mAbs to distinguish tumor cells (EpCAM+) from leukocytes (CD45+) during sorting. DNA from isolated tumor cells was subjected to whole genome amplification (WGA) and copy number analysis via array comparative genomic hybridization (aCGH). The assay was evaluated in CTCs from 5 MBC pts with matched archival primary tumors and later extended to an additional 176 MBC pts, 97 of which were successfully profiled. Results: Comparison of CTCs with matched archival primary tumors confirmed shared lineage with notable divergence. In addition, serial testing of CTCs confirmed reproducibility, and indicated genomic change over time. Genomic profiling of CTCs from 102 MBC pts revealed a wide range of copy number alterations including those previously reported in breast cancer. Comparison with a published aCGH dataset of primary breast tumors revealed similar frequencies of recurrent genomic copy number aberrations. Conclusions: It is feasible to isolate CTCs away from hematopoietic cells with high purity via IE/FACS and profile them via aCGH analysis following WGA. Our approach may be utilized to explore genomic events involved in cancer progression and to monitor therapeutic efficacy of targeted therapies in clinical trials in a relatively non-invasive manner. This work was supported by grants from the CALGB, BCRF, TBCRC (Avon, Komen), EDRN and U54.

1002 Background: DTC are associated with increased risk of distant recurrence and death in patients (pts) with ESBC, especially if present after adjuvant chemotherapy (AT). Bisphosphonates (BP) inc...