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Paclitaxel is a standard chemotherapeutic agent for ovarian cancer. PEA-15 (phosphoprotein enriched in astrocytes-15 kDa) regulates cell proliferation, autophagy, apoptosis, and glucose metabolism and also mediates AKT-dependent chemoresistance in breast cancer. The functions of PEA-15 are tightly regulated by its phosphorylation status at Ser104 and Ser116. However, the effect of PEA-15 phosphorylation status on chemosensitivity of cancer cells remains unknown. Here, we tested the hypothesis that PEA-15 phosphorylated at both Ser104 and Ser116 (pPEA-15) sensitizes ovarian cancer cells to paclitaxel. We first found that knockdown of PEA-15 in PEA-15–high expressing HEY and OVTOKO ovarian cancer cells resulted in paclitaxel resistance, whereas re-expression of PEA-15 in these cells led to paclitaxel sensitization. We next found that SKOV3.ip1-DD cells (expressing phosphomimetic PEA-15) were more sensitive to paclitaxel than SKOV3.ip1-AA cells (expressing nonphosphorylatable PEA-15). Compared with SKOV3.ip1-vector and SKOV3.ip1-AA cells, SKOV3.ip1-DD cells displayed reduced cell viability, inhibited anchorage-independent growth, and augmented apoptosis when treated with paclitaxel. Furthermore, HEY and OVTOKO cells displayed enhanced paclitaxel sensitivity when transiently overexpressing phosphomimetic PEA-15 and reduced paclitaxel sensitivity when transiently overexpressing nonphosphorylatable PEA-15. These results indicate that pPEA-15 sensitizes ovarian cancer cells to paclitaxel. cDNA microarray analysis suggested that SCLIP (SCG10-like protein), a microtubule-destabilizing protein, is involved in pPEA-15–mediated chemosensitization. We found that reduced expression and possibly posttranslational modification of SCLIP following paclitaxel treatment impaired the microtubule-destabilizing effect of SCLIP, thereby promoting induction of mitotic arrest and apoptosis by paclitaxel. Our findings highlight the importance of pPEA-15 as a promising target for improving the efficacy of paclitaxel-based therapy in ovarian cancer. Mol Cancer Ther; 12(6); 1099–111. ©2013 AACR.

Related Article from Two Good Choices to Prevent Breast Cancer: Great Taste, Less Filling

Mitotic accumulation induced by KW-2450 in TNBC cells.

Knockdown of IGF-IR or InsR in TNBC cells.

Supplementary Figures 1-4 from Dual Targeting of Tumor Angiogenesis and Chemotherapy by Endostatin–Cytosine Deaminase–Uracil Phosphoribosyltransferase

PDF file, 81K, Inflammatory infiltration analysis of mammary tumors.

Supplementary Methods from Dual Targeting of Tumor Angiogenesis and Chemotherapy by Endostatin–Cytosine Deaminase–Uracil Phosphoribosyltransferase

Supplementary Figure S1. PARPi upregulates PD-L1 in a dose-dependent manner in MD-MB-231 cells. Supplementary Figure S2. Downregulation of BRCA1 or BRCA2 has no effect on PARPi-induced PD-L1 upregulation. Supplementary Figure S3. PARPi inactivates GSK3β. Supplementary Figure S4. PARPi blocks cell proliferation of MDA-MB-231 cells but not activated PBMCs. Supplementary Figure S5. Toxicity assessment of treatment on BALB/c mice.

Supplementary Table S1 from Breast Cancer Molecular Subtypes Respond Differently to Preoperative Chemotherapy

Supplementary Table 1. Patients with high sTK1 and relative median sTK1 at different time points.

Supplementary Data from Association of Cardiovascular Disease Risk Factors with Late Cardiotoxicity and Survival in HER2-positive Breast Cancer Survivors

Purpose:Metastasis requires malignant cell circulation from the primary to a distant tissue. Elevated levels of circulating tumor cells (CTC) portend a poor prognosis in breast and other cancers. Recent studies have suggested that CTC clusters may be a factor in the metastatic process. We conducted a prospective retrospective study of the SWOG0500 clinical trial to test whether CTC clusters are associated with poorer prognosis.Experimental Design:CTC CellSearch galleries from SWOG0500 trial were reread using prespecified criteria for CTC clusters, doublets, and enumeration. Survival analysis methods include Kaplan–Meier plots and log-rank tests.Results:Patients were classified into three prognostic subgroups based on baseline CTC/7.5 mL whole blood (WB): Arm A: P < 0.0001). Furthermore, doublets or clusters were significantly more common in patients who were ultimately assigned to Arm C versus B (54% vs. 25%; P < 0.0001). In Arm C, doublets and clusters were associated with worse overall survival than only doublets, clusters, or no doublets nor clusters at baseline (P = 0.008) and first follow-up (P = 0.010). When compared with enumeration alone, doublets, clusters, or both were not prognostic in patients who had 5–19 or ≥20 CTC/7.5 mL WB.Conclusions:In patients with metastatic breast cancer starting first-line chemotherapy, mortality is independent of the presence of CTC clusters, but rather depends on the number of CTC/7.5 mL WB.

Supplementary Figure 1: Examples of staining and coring system for cyclin E; Supplementary Figure 2: Examples of LMW-E cyclin E staining; Supplementary Figure 3: REMARK diagram of biospecimen availability for the MDA Lab00-222, NCI TMA, MDA TMA, and UK TMA cohorts.

Purpose: Circulating tumor cells (CTC) represent a new outcome-associated biomarker independent from known prognostic factors in metastatic breast cancer (MBC). The objective here was to develop and validate nomograms that combined baseline CTC counts and the other prognostic factors to assess the outcome of individual patients starting first-line treatment for MBC.Experimental Design: We used a training set of 236 patients with MBCs starting a first-line treatment from the M.D. Anderson Cancer Center (Houston, TX) to establish nomograms that calculated the predicted probability of survival at different time points: 1, 2, and 5 years for overall survival (OS) and 6 months and 1 and 2 years for progression-free survival (PFS).The covariates computed in the model were age, disease subtype, visceral metastases, performance status, and CTC counts by CellSearch. Nomograms were independently validated with 210 patients with MBCs from the Institut Curie (Paris, France) who underwent first-line chemotherapy. The discriminatory ability and accuracy of the models were assessed using Harrell c-statistic and calibration plots at different time points in both training and validation datasets.Results: Median follow-up was of 23 and 29 months in the MD Anderson and Institut Curie cohorts, respectively. Nomograms showed good c-statistics: 0.74 for OS and 0.65 for PFS and discriminated OS prediction at 1, 2, and 5 years, and PFS prediction at 6 months and 1 and 2 years.Conclusions: Nomograms, which relied on CTC counts as a continuous covariate, easily facilitated the use of a web-based tool for estimating survival, supporting treatment decisions and clinical trial stratification in first-line MBCs. Clin Cancer Res; 19(6); 1596–602. ©2013 AACR.

R File codes pertaining to NCI cohort

PARPi treatment enhances resistance to activated T-cell killing. Time-lapse video of 231 (Nuc-RFP) cells with olaparib treatment co-cultured with activated PBMCs taken using the IncuCyte Zoom microscope.

Purpose: We examined in a prospective, randomized, international clinical trial the performance of a previously defined 30-gene predictor (DLDA-30) of pathologic complete response (pCR) to preoperative weekly paclitaxel and fluorouracil, doxorubicin, and cyclophosphamide (T/FAC) chemotherapy, and assessed if DLDA-30 also predicts increased sensitivity to FAC-only chemotherapy. We compared the pCR rates after T/FAC versus FACx6 preoperative chemotherapy. We also did an exploratory analysis to identify novel candidate genes that differentially predict response in the two treatment arms.Experimental Design: Two hundred and seventy-three patients were randomly assigned to receive either weekly paclitaxel × 12 followed by FAC × 4 (T/FAC, n = 138), or FAC × 6 (n = 135) neoadjuvant chemotherapy. All patients underwent a pretreatment fine-needle aspiration biopsy of the tumor for gene expression profiling and treatment response prediction.Results: The pCR rates were 19% and 9% in the T/FAC and FAC arms, respectively (P < 0.05). In the T/FAC arm, the positive predictive value (PPV) of the genomic predictor was 38% [95% confidence interval (95% CI), 21-56%], the negative predictive value was 88% (95% CI, 77-95%), and the area under the receiver operating characteristic curve (AUC) was 0.711. In the FAC arm, the PPV was 9% (95% CI, 1-29%) and the AUC was 0.584. This suggests that the genomic predictor may have regimen specificity. Its performance was similar to a clinical variable–based predictor nomogram.Conclusions: Gene expression profiling for prospective response prediction was feasible in this international trial. The 30-gene predictor can identify patients with greater than average sensitivity to T/FAC chemotherapy. However, it captured molecular equivalents of clinical phenotype. Next-generation predictive markers will need to be developed separately for different molecular subsets of breast cancers. Clin Cancer Res; 16(21); 5351–61. ©2010 AACR.

PDF - 160KB, Supplementary Figure 1 -Histograms of BUM model to the P-values from the ANOVA test of race/ethnicity by breast cancer subtype in 177 proteins. Supplementary Figure 2 - Histograms of BUM model to the P-values from the ANOVA test of race/ethnicity by breast cancer subtype in 16,438 probe sets. Supplementary Figure 3 - Unsupervised clustering of the significant 384 probe sets with FDR

Supplementary Figures 1 and 2 from Silencing Kinase-Interacting Stathmin Gene Enhances Erlotinib Sensitivity by Inhibiting Ser10 p27 Phosphorylation in Epidermal Growth Factor Receptor–Expressing Breast Cancer

Purpose: To examine gene expression differences between pre- and post-neoadjuvant systemic therapy (NST) specimens of breast cancers and identify biologic changers that may lead to new therapeutic insights.Methods: Gene expression data from prechemotherapy fine needle aspiration specimens were compared with resected residual cancers in 21 patients after 4 to 6 months of NST. We removed stroma-associated genes to minimize confounding effects. PAM50 was used to assign molecular class. Paired t test and gene set analysis were used to identify differentially expressed genes and pathways.Results: The ER and HER2 status based on mRNA expression remained stable in all but two cases, and there were no changes in proliferation metrics (Ki67 and proliferating cell nuclear antigen expression). Molecular class changed in 8 cases (33.3%), usually to normal-like class, which was associated with low residual cancer cell cellularity. The expression of 200 to 600 probe sets changed between baseline and post-NST samples. In basal-like cancers, pathways driven by increased expression of phosphoinositide 3-kinase, small G proteins, and calmodulin-dependent protein kinase II and energy metabolism were enriched, whereas immune cell–derived and the sonic hedgehog pathways were depleted in residual cancer. In non–basal-like breast cancers, notch signaling and energy metabolism (e.g., fatty acid synthesis) were enriched and sonic hedgehog signaling and immune-related pathways were depleted in residual cancer. There was no increase in epithelial–mesenchymal transition or cancer stem cell signatures.Conclusions: Our data indicate that energy metabolism related processes are upregulated and immune-related signals are depleted in residual cancers. Targeting these biologic processes may represent promising adjuvant treatment strategies for patients with residual cancer. Clin Cancer Res; 18(4); 1109–19. ©2012 AACR.

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Supplementary Figure from A Randomized Trial of Fulvestrant, Everolimus, and Anastrozole for the Front-line Treatment of Patients with Advanced Hormone Receptor–positive Breast Cancer, SWOG S1222

R File codes pertaining to UK cohort

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Purpose: The clinical outcome for patients with breast cancer is influenced by the metastatic competence of the cancer and its sensitivity to endocrine therapy and chemotherapy. A molecular marker may be prognostic of outcome or predictive of response to therapy, or a combination of both.Experimental Design: We examined separately the prognostic and predictive values of tau mRNA expression in estrogen receptor (ER)–positive primary breast cancers in three patient cohorts. We used gene expression data from 209 untreated patients to assess the pure prognostic value of tau, data from 267 patients treated with adjuvant tamoxifen to assess predictive value for endocrine therapy, and data from 82 patients treated with preoperative paclitaxel followed by 5-fluorouracil, doxorubicin, and cyclophosphamide (paclitaxel/FAC) to assess predictive value for chemotherapy response. Wilcoxon rank sum test was used to compare tau expression between different outcome groups.Results: Higher tau mRNA expression showed borderline nonsignificant association with better prognosis in the absence of systemic adjuvant therapy. Higher tau mRNA expression was significantly associated with no recurrence (at 5 and 10 years, P = 0.005 and P = 0.05, respectively) in patients treated with tamoxifen, indicating a predictive value for endocrine therapy. Tau expression was significantly lower in patients who achieved pathologic complete response to paclitaxel/FAC chemotherapy (P < 0.001).Conclusion: This study suggests that high tau mRNA expression in ER-positive breast cancer indicates an endocrine-sensitive but chemotherapy-resistant disease. In contrast, low tau expression identifies a subset of ER-positive cancers that have poor prognosis with tamoxifen alone and may benefit from taxane-containing chemotherapy.

Purpose: Inflammatory breast cancer (IBC) is a rare but aggressive type of advanced breast cancer. Epidermal growth factor receptor (EGFR) expression is an independent poor prognostic factor in IBC. The purpose of this study was to determine the effect on IBC tumorigenicity and metastasis of blocking the EGFR pathway.Experimental Design: IBC cell lines, which express high level of EGFR, were treated with EGFR small interfering RNA and with the EGFR tyrosine kinase inhibitor erlotinib. The role of EGFR in IBC cell proliferation, motility, invasiveness, and change of the expression levels of epithelial-mesenchymal transition markers was examined. The role of extracellular signal–regulated kinase (ERK)-1/2 in erlotinib activity was also studied. The activity of erlotinib in tumor growth and metastasis was examined in an orthotopic xenograft model of IBC.Results: Erlotinib inhibited proliferation and anchorage-independent growth of IBC cells, and this inhibition was ERK dependent. Erlotinib inhibited cell motility and invasiveness and reversed the mesenchymal phenotype of IBC cells to epithelial phenotype in three-dimensional culture. Erlotinib dramatically inhibited IBC tumor growth in a xenograft model. Interestingly, erlotinib inhibited spontaneous lung metastasis, even at a low dose that had no significant effect on primary tumor growth. These erlotinib-treated tumors were converted to epithelial phenotype from mesenchymal phenotype.Conclusions: The EGFR pathway is involved in tumor growth and metastasis of IBC. Targeting EGFR through the ERK pathway may represent an effective therapeutic approach to suppress tumorigenicity and prevent metastasis in EGFR-expressing IBC. (Clin Cancer Res 2009;15(21):6639–48)

R File codes pertaining to the MDACC-TMA cohort

The epidermal growth factor receptor (EGFR) signaling pathway has emerged as a promising target for cancer therapy. EGFR tyrosine kinase inhibitors (TKI) such as erlotinib have been approved for cancer treatment but have shown very limited activity in breast cancer patients. Clarifying the molecular mechanism underlying resistance to EGFR TKIs could lead to more effective treatment against breast cancer. We previously reported that the sensitivity of breast cancer cells to erlotinib is partially dependent on p27 and that cytoplasmic localization of p27 is associated with erlotinib resistance. In the present study, we found that erlotinib induces p27 phosphorylation at Ser10 (S10), and S10 p27 phosphorylation leads to erlotinib resistance in EGFR-expressing breast cancer. Inhibiting S10 phosphorylation of p27 by knocking down human kinase-interacting stathmin (KIS), a nuclear protein that can phosphorylate p27 at S10, led to p27 accumulation in the nucleus and enhanced erlotinib-mediated cytotoxicity. Further, in vivo KIS gene silencing enhanced the antitumor activity of erlotinib in an orthotopic breast cancer xenograft model. KIS depletion also enhanced erlotinib sensitivity in erlotinib-resistant EGFR-expressing triple-negative breast cancer cells. Our study provides a rationale for the development of combinations of erlotinib with KIS inhibition to overcome EGFR TKI resistance in EGFR-expressing breast cancer. Mol Cancer Ther; 9(11); 3090–9. ©2010 AACR.

Information of Microarray Data - PDF file 31K, Gene expression data have been deposited into the GEO database

Figure legends pertaining to supplemental figures 1-3

XLS file - 15K, DLDA30 probe set interaction with treatment using logistic regression.

Supplementary Tables S1-5 and Supplementary Fig. S1

Purpose:Adjuvant therapy for small, node-negative HER2-positive breast cancer (HER2+ BC) is controversial. We aimed to identify the subgroup that would benefit most from adjuvant chemotherapy and trastuzumab.Experimental Design:We reviewed records of patients with pT1N0M0 HER2+ BC treated at our institution from January 1, 1998, through October 31, 2009. We compared three groups: A, no adjuvant chemotherapy; B, adjuvant chemotherapy only; and C, adjuvant chemotherapy with trastuzumab. We evaluated disease-free survival (DFS), overall survival (OS), distant recurrence-free survival (DRFS), and breast cancer-specific survival (BCSS) in each group.Results:We reviewed 587 consecutive patients with a median follow-up of 123.0 months. The 10-year DFS rate was 81.0%, 65.4%, and 97.3% in groups A, B, and C, respectively (P < 0.001). The restricted mean survival time ratio did not differ between groups A and B [ratio = 0.982; 95% confidence interval (CI), 0.930–1.036; P = 0.498). Cox regression showed that adjuvant chemotherapy with trastuzumab was associated with better DFS compared with no adjuvant chemotherapy [hazard ratio (HR), 0.071; 95% CI, 0.025–0.204; P < 0.001). Larger tumor size was associated with short DFS (HR, 2.384; 95% CI, 1.549–3.056; P < 0.001); improvements in DFS, OS, DRFS, and BCSS were observed with adjuvant chemotherapy plus trastuzumab in patients with tumors ≥0.8-cm diameter. Receiving adjuvant chemotherapy with trastuzumab was not associated with improved DFS, OS, or DRFS for tumors Conclusions:Adjuvant chemotherapy plus trastuzumab should be recommended for patients with pT1N0M0 HER2+ BC ≥0.8 cm in diameter; adjuvant therapy may not be necessary for tumors

Supplementary Legend

Supplementary Figure S1. Restricted mean survival time among patients who received no adjuvant chemotherapy (group A) and patients who received adjuvant chemotherapy only (group B), in patients with pT1N0M0 HER2-positive breast cancer.

Supplementary Figure from Molecular Characterization and Prospective Evaluation of Pathologic Response and Outcomes with Neoadjuvant Therapy in Metaplastic Triple-Negative Breast Cancer

Purpose:Serum thymidine kinase 1 (sTK1) activity is associated with poor prognosis in metastatic breast cancer (MBC). We assessed the prognostic effect of sTK1 in patients with hormone receptor–positive MBC treated on a prospective randomized trial of anastrozole (A) versus A plus fulvestrant (A + F).Patients and Methods:sTK1 was assessed in 1,726 serums [baseline (BL), cycles 2, 3, 4, and 7] using the DiviTum assay. A prespecified cutoff of ≥200 Du/L was considered high. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan–Meier, log-rank tests, and Cox regression.Results:BL sTK1 was elevated in 171 (40%) of 432 patients. Patients with high versus low BL sTK1 had significantly worse PFS [median 11.2 vs. 17.3 months, HR = 1.76; 95% confidence interval (CI; 1.43–2.16); P < 0.0001] and OS [median 30 vs. 58 months, HR = 2.38; 95% CI (1.91–2.98); P < 0.0001]. OS was significantly better for patients with high sTK1 who did not have prior adjuvant tamoxifen and who received A + F versus A alone [median 46 vs. 21 months, HR = 0.58; 95% CI (0.38–0.87); P = 0.0087]. Patients with low sTK1 had no difference in outcomes by therapy (P = 0.44). At serial timepoints, high versus low sTK1 had significantly worse subsequent PFS and OS [at cycle 2: PFS HR = 1.70, 95% CI (1.34–2.17); P < 0.0001, OS HR = 2.51, 95% CI (1.93–3.26); P < 0.0001].Conclusions:High sTK1 at BL and subsequent timepoints is associated with worse prognosis in patients with MBC starting first-line endocrine therapy (ET). Patients with low sTK1 at BL have comparable outcomes on single-agent or combination ET.

Purpose: We used high-resolution oligonucleotide comparative genomic hybridization (CGH) arrays and matching gene expression array data to identify dysregulated genes and to classify breast cancers according to gene copy number anomalies.Experimental Design: DNA was extracted from 106 pretreatment fine needle aspirations of stage II-III breast cancers that received preoperative chemotherapy. CGH was done using Agilent Human 4 × 44K arrays. Gene expression data generated with Affymetrix U133A gene chips was also available on 103 patients. All P values were adjusted for multiple comparisons.Results: The average number of copy number abnormalities in individual tumors was 76 (range 1-318). Eleven and 37 distinct minimal common regions were gained or lost in >20% of samples, respectively. Several potential therapeutic targets were identified, including FGFR1 that showed high-level amplification in 10% of cases. Close correlation between DNA copy number and mRNA expression levels was detected. Nonnegative matrix factorization (NMF) clustering of DNA copy number aberrations revealed three distinct molecular classes in this data set. NMF class I was characterized by a high rate of triple-negative cancers (64%) and gains of 6p21. VEGFA, E2F3, and NOTCH4 were also gained in 29% to 34% of triple-negative tumors. A gain of ERBB2 gene was observed in 52% of NMF class II and class III was characterized by a high rate of estrogen receptor–positive tumors (73%) and a low rate of pathologic complete response to preoperative chemotherapy (3%).Conclusion: The present study identified dysregulated genes that could classify breast cancer and may represent novel therapeutic targets for molecular subsets of cancers.

XLS file - 57K, Top 206 candidate probesets on the U133A array with logistic regression interaction p-value

Supplementary Table 1 Legend from Reproducibility of Gene Expression Signature–Based Predictions in Replicate Experiments

Purpose:Breast cancer and cardiovascular (CV) diseases often share the same risk factors. It is increasingly important to identify risk factors for CV events in patients with high-risk breast cancer and explore optimal treatment regimens.Experimental Design:Early HER2-positive breast cancer patients at our institution between January 1998 and October 2009 were reviewed. Primary outcome was late-severe-CV-event-free survival, and late severe CV events were defined as cardiovascular death, cardiomyopathy, symptomatic heart failure, and myocardial infarction developing 2+ years after breast cancer diagnosis. Kaplan–Meier plots, Cox proportional hazard regressions, and restricted mean survival time were used to evaluate outcomes.Results:We identified 2,448 consecutive eligible patients with a median follow-up time of 111.0 months (interquartile range, 52.0–151.8 months). One hundred and thirty-six patients had late severe CV events and 752 died of any cause [533 (70.9%) died of primary breast cancer; 12 (1.6%) died of cardiovascular disease]. Hypertension [HR, 1.546; 95% confidence interval (95% CI), 1.030–2.320; P = 0.036] and history of coronary artery disease (CAD; HR, 3.333; 95% CI, 1.669–6.656; P < 0.001) were associated with worse late-severe-CV-event-free survival. Anthracycline-containing regimens (HR, 1.536; 95% CI, 0.979–2.411; P = 0.062) was not a significant risk factor for CV events in multivariate analysis. Regimens containing both anthracycline and anti-HER2 therapy were prognostic for better OS (HR, 0.515; 95% CI, 0.412–0.643; P < 0.001).Conclusions:Hypertension and CAD history were independent prognostic factors for late severe CV events. Adding anti-HER2 agents to anthracycline-containing regimens did not substantially increase the risk for late severe cardiotoxicity and conferred better overall survival.

Supplemental Figure 1 (A) Progression-Free Survival in S0226 (B) Overall Survival in S0226

Supplementary Data from Molecular Characterization of Breast Cancer with High-Resolution Oligonucleotide Comparative Genomic Hybridization Array

Patient selection is important for targeted therapies, yet phase I/II trials are often underpowered for developing predictors of drug response. The goal of this research was to define genomic predictors for dasatinib that could be prospectively tested in early-phase clinical trials.Gene expression profiles of dasatinib-sensitive and dasatinib-resistant cell lines (n = 23) were compared to develop a dasatinib-sensitivity index (modified DS index). A Src pathway activity index (revised Src index) was defined using genes induced by the Src transfection of mammary epithelial cells and was optimized to be reproducible across cell lines and human specimens. A dasatinib target index was devised using the weighted sum of 19 kinases that bind to dasatinib with variable affinity. The performance of these prediction models was assessed in independent cell lines with known dasatinib sensitivity. The feasibility of applying these genomic tests to human samples was evaluated on 133 biopsies of primary breast cancers.The modified DS index showed 90% accuracy in independent breast cancer cell lines (n = 12) and the target index, but not the revised Src index signature, also distinguished dasatinib-sensitive and dasatinib-resistant cells (P = 0.0024). The genomic predictors showed acceptable reproducibility in replicate cell line and human gene expression data. When all three predictors were applied to the same 133 patient samples, the predictors identified different patient subsets as potentially sensitive.We defined three conceptually different potential predictors of dasatinib response that were reproducible across cell lines and human data. These candidate markers are being tested in a clinical trial to determine their utility. Mol Cancer Ther; 9(5); 1120–7. ©2010 AACR.

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R File codes pertaining to the Lab222 cohort

Purpose:Metastatic hormone receptor (HR)-positive, HER2-negative breast cancer is an important cause of cancer mortality. Endocrine treatment with or without additional targeted therapies has been the mainstay of treatment. This trial was designed to evaluate the combination of fulvestrant plus everolimus versus fulvestrant, everolimus, and anastrozole compared with fulvestrant alone in the first-line treatment of advanced HR-positive, HER2-negative breast cancer.Patients and Methods:This randomized placebo-controlled trial included postmenopausal women with HR-positive, HER2-negative advanced breast cancer who had received no prior systemic therapy for metastatic disease. Participants were randomized to one of three treatment arms and the primary outcome was progression-free survival (PFS), comparing combinations of fulvestrant and everolimus with or without anastrozole with fulvestrant alone. Circulating tumor cells (CTC), as measured with two different methods, and circulating tumor DNA (ctDNA) were evaluated serially prior to treatment and the beginning of the second cycle of therapy.Results:Due in part to changes in clinical practice, the study was closed after accruing only 37 participants. There was no evidence that everolimus-containing combination treatment improved PFS or overall survival relative to fulvestrant alone. When modeled continuously, an association was observed of baseline CTC and ctDNA with poorer survival.Conclusions:Although power of the study was limited, the findings were unable to support the routine use of everolimus combination endocrine therapy in the first-line treatment of advanced hormone-sensitive breast cancer. Prognostic impact of baseline ctDNA and copy-number variations in CTC was demonstrated.

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Supplementary table 1. Restricted mean survival time (RMST) analysis of overall survival in patients with pT1N0M0 HER2-positive breast cancer who received no adjuvant chemotherapy (group A) or adjuvant chemotherapy only (group B).