Perez, Edith A.

Abstract Background: In the adjuvant setting, HER2 breast cancer patients treated with trastuzumab along with chemotherapy have superior survival compared to patients treated with chemotherapy alone (Perez EA, et al. J Clin Oncol. 2013 31:2115-22). Functional evidence suggests a role for the FC gamma receptor genes in antibody response. Mice deficient in the FC gamma receptor genes show significantly reduced antitumor effect. Polymorphisms within FCGR2A and FCGR3A are associated with binding affinity of natural killer cells to the IgG1 portion of trastuzumab and a polymorphism in FCGR2B (I232T, T allele) is associated with impaired negative regulatory activity. Association of FC gamma receptor polymorphisms with clinical response among trastuzumab-treated patients is equivocal with both positive (Musolino A, et al. J Clin Oncol. 2008 26:1789-96) and negative associations (Hurvitz SA, et al. Clin Cancer Res. 2012 18:3478-86), a lack of sufficiently powered clinical samples and a lack of cohorts with clearly demonstrated survival benefit to trastuzumab containing regimens. Methods: Genomic DNA was analyzed for FcyRIIIa, FcyRIIa, and FcyRIIb polymorphisms (FCGR3A V158F, FCGR2A H131R and FCGR2B I232T) using Taqman SNP real-time PCR assays (Applied Biosystems) in 1,336 patients from the N9831 clinical trial of adjuvant trastuzumab in HER2+ breast cancer. 1325 patients were evaluable. Patients in Arm A (N=419) received chemotherapy only. Patients in Arms B (N=469) and C (N= 437) were treated with chemotherapy and trastuzumab (sequentially in Arm B and concurrently in Arm C). We performed Kaplan-Meier analyses of disease free survival (DFS) by arm and genotype for each polymorphism. Results: There were only minor differences in demographics and tumor features when comparing the subset with DNA to other N9831 participants who did not provide DNA. Patients who provided DNA in Arms B and C demonstrated superior DFS relative to patients in Arm A who provided DNA (p<0.001). Genotype distributions in the N9831 population for FCGR2A and FCGR3A polymorphisms were in Hardy-Weinberg equilibrium, p>0.05 and FCGR2B, p>0.01. In contrast to previous reports in the metastatic setting, we did not find that trastuzumab-treated patients who had the FCGR3A 158 V and/or FCGR2A 131 H genotypes demonstrated superior DFS to those without those genotypes. Similarly, we did not see an effect of FCGR2B I232T with the exception that I/I patients (p<0.001) apparently derived more benefit, in terms of DFS, from trastuzumab than did T carriers (p=0.81). However, 5-year DFS was not different between these two groups, I/I and T carriers within Arms B/C. Conclusions: Our analysis failed to reveal strong associations between FCGR genotypes and outcome in patients with HER2+ breast cancer treated with trastuzumab. While the present data do not preclude a functional role for FC gamma receptors in the clinical activity of trastuzumab, the results suggest that these naturally occurring polymorphisms may have minor (if any) impact in the adjuvant setting, which is consistent with previous findings by Hurvitz and colleagues. Citation Format: Mark Pegram, Rebecca M. Olson, Nadine Norton, Kathleen Tenner, Karla L. Ballman, Raphael Clynes, Keith L. Knutson, Edith A. Perez. Analysis of the associations of FC gamma receptor polymorphisms (FCGR3A, FCGR2A, and FCGR2B) with outcome in HER2+ breast cancer patients treated with trastuzumab in NCCTG (Alliance) trial N9831. [abstract]. In: Proceedings of the AACR Special Conference on Advances in Breast Cancer Research: Genetics, Biology, and Clinical Applications; Oct 3-6, 2013; San Diego, CA. Philadelphia (PA): AACR; Mol Cancer Res 2013;11(10 Suppl):Abstract nr B123.

BACKGROUNDPostmenopausal women with breast cancer receiving aromatase inhibitors are at an increased risk of bone loss. The current study was undertaken to determine whether upfront versus delayed treatment with zoledronic acid (ZA) impacted bone loss. This report described the 5‐year follow‐up results.METHODSA total of 551 postmenopausal women with breast cancer who completed tamoxifen treatment and were undergoing daily letrozole treatment were randomized to either upfront (274 patients) or delayed (277 patients) ZA at a dose of 4 mg intravenously every 6 months. In the patients on the delayed treatment arm, ZA was initiated for a postbaseline bone mineral density T‐score of <‐2.0 or fracture.RESULTSThe incidence of a 5% decrease in the total lumbar spine bone mineral density at 5 years was 10.2% in the upfront treatment arm versus 41.2% in the delayed treatment arm (P<.0001). A total of 41 patients in the delayed treatment arm were eventually started on ZA. With the exception of increased NCI Common Toxicity Criteria (CTC) grade 1/2 elevated creatinine and fever in the patients treated on the upfront arm and cerebrovascular ischemia among those in the delayed treatment arm, there were no significant differences observed between arms with respect to the most common adverse events of arthralgia and back pain. Osteoporosis occurred less frequently in the upfront treatment arm (2 vs 8 cumulative cases), although this difference was not found to be statistically significant. Bone fractures occurred in 24 patients in the upfront treatment arm versus 25 patients in the delayed treatment arm.CONCLUSIONSImmediate treatment with ZA prevented bone loss compared with delayed treatment in postmenopausal women receiving letrozole and these differences were maintained at 5 years. The incidence of osteoporosis or fractures was not found to be significantly different between treatment arms. Cancer 2015;121:2537–2543. © 2015 American Cancer Society.

Abstract Invasive ductal carcinomas (IDC) of the breast are associated with altered expression of hormone receptors (HR), amplification or overexpression of HER2, or a triple-negative phenotype. The most aggressive cases of IDC are characterized by a high proliferation rate, a great propensity to metastasize, and their ability to resist to standard chemotherapy, hormone therapy, or HER2-targeted therapy. Using progression tissue microarrays, we here demonstrate that the serine/threonine kinase protein kinase D3 (PKD3) is highly upregulated in estrogen receptor (ER)–negative (ER−) tumors. We identify direct binding of the ER to the PRKD3 gene promoter as a mechanism of inhibition of PKD3 expression. Loss of ER results in upregulation of PKD3, leading to all hallmarks of aggressive IDC, including increased cell proliferation, migration, and invasion. This identifies ER− breast cancers as ideal for treatment with the PKD inhibitor CRT0066101. We show that similar to a knockdown of PKD3, treatment with this inhibitor targets all tumorigenic processes in vitro and decreases growth of primary tumors and metastasis in vivo. Our data strongly support the development of PKD inhibitors for clinical use for ER− breast cancers, including the triple-negative phenotype. Mol Cancer Ther; 14(6); 1306–16. ©2015 AACR.

Purpose This phase III randomized trial (ClinicalTrials.gov identifier: NCT00337103) compared eribulin with capecitabine in patients with locally advanced or metastatic breast cancer (MBC). Patients and Methods Women with MBC who had received prior anthracycline- and taxane-based therapy were randomly assigned to receive eribulin or capecitabine as their first-, second-, or third-line chemotherapy for advanced/metastatic disease. Stratification factors were human epidermal growth factor receptor-2 (HER2) status and geographic region. Coprimary end points were overall survival (OS) and progression-free survival (PFS). Results Median OS times for eribulin (n = 554) and capecitabine (n = 548) were 15.9 and 14.5 months, respectively (hazard ratio [HR], 0.88; 95% CI, 0.77 to 1.00; P = .056). Median PFS times for eribulin and capecitabine were 4.1 and 4.2 months, respectively (HR, 1.08; 95% CI, 0.93 to 1.25; P = .30). Objective response rates were 11.0% for eribulin and 11.5% for capecitabine. Global health status and overall quality-of-life scores over time were similar in the treatment arms. Both treatments had manageable safety profiles consistent with their known adverse effects; most adverse events were grade 1 or 2. Conclusion In this phase III study, eribulin was not shown to be superior to capecitabine with regard to OS or PFS.

Purpose To develop a genomic signature that predicts benefit from trastuzumab in human epidermal growth factor receptor 2–positive breast cancer. Patients and Methods DASL technology was used to quantify mRNA in samples from 1,282 patients enrolled onto the Combination Chemotherapy With or Without Trastuzumab in Treating Women With Breast Cancer (North Central Cancer Treatment Group N9831 [NCCTG-N9831]) adjuvant trastuzumab trial. Cox proportional hazard ratios (HRs), adjusted for significant clinicopathologic risk factors, were used to determine the association of each gene with relapse-free survival (RFS) for 433 patients who received chemotherapy alone (arm A) and 849 patients who received chemotherapy plus trastuzumab (arms B and C). Network and pathway analyses were used to identify key biologic processes linked to RFS. The signature was built by using a voting scheme. Results Network and functional ontology analyses suggested that increased RFS was linked to a subset of immune function genes. A voting scheme model was used to define immune gene enrichment based on the expression of any nine or more of 14 immune function genes at or above the 0.40 quantile for the population. This model was used to identify immune gene–enriched tumors in arm A and arms B and C. Immune gene enrichment was linked to increased RFS in arms B and C (HR, 0.35; 95% CI, 0.22 to 0.55; P < .001), whereas arm B and C patients who did not exhibit immune gene enrichment did not benefit from trastuzumab (HR, 0.89; 95% CI, 0.62 to 1.28; P = .53). Enriched immune function gene expression as defined by our predictive signature was not associated with increased RFS in arm A (HR, 0.90; 95% CI, 0.60 to 1.37; P = .64). Conclusion Increased expression of a subset of immune function genes may provide a means of predicting benefit from adjuvant trastuzumab.

Purpose Positive interim analysis findings from four large adjuvant trials evaluating trastuzumab in patients with early-stage human epidermal growth factor receptor 2 (HER2) –positive breast cancer were first reported in 2005. One of these reports, the joint analysis of North Central Cancer Treatment Group NCCTG N9831 (Combination Chemotherapy With or Without Trastuzumab in Treating Women With HER2-Overexpressing Breast Cancer) and the National Surgical Adjuvant Breast and Bowel Project NSABP B-31 (Doxorubicin and Cyclophosphamide Plus Paclitaxel With or Without Trastuzumab in Treating Women With Node-Positive Breast Cancer That Overexpresses HER2), was updated in 2011. We now report the planned definitive overall survival (OS) results from this joint analysis along with updates on the disease-free survival (DFS) end point. Methods In all, 4,046 patients with HER2-positive operable breast cancer were enrolled to receive doxorubicin and cyclophosphamide followed by paclitaxel with or without trastuzumab in both trials. The required number of events for the definitive statistical analysis for OS (710 events) was reached in September 2012. Updated analyses of overall DFS and related subgroups were also performed. Results Median time on study was 8.4 years. Adding trastuzumab to chemotherapy led to a 37% relative improvement in OS (hazard ratio [HR], 0.63; 95% CI, 0.54 to 0.73; P < .001) and an increase in 10-year OS rate from 75.2% to 84%. These results were accompanied by an improvement in DFS of 40% (HR, 0.60; 95% CI, 0.53 to 0.68; P < .001) and increase in 10-year DFS rate from 62.2% to 73.7%. All patient subgroups benefited from addition of this targeted anti-HER2 agent. Conclusion The addition of trastuzumab to paclitaxel after doxorubicin and cyclophosphamide in early-stage HER2-positive breast cancer results in a substantial and durable improvement in survival as a result of a sustained marked reduction in cancer recurrence.

Abstract MOTIVATION: Transcriptome sequencing (RNA-seq) is the most economical and information-rich next generation sequencing technology to study genomic medicine. Genomic features such as gene expression, transcript expression, fusion transcripts, long non-coding RNAs and expressed single nucleotide variants (eSNVs) can be obtained from RNA-seq data. There are several computational workflows to obtain gene counts, transcript counts and fusion gene candidates, but not a comprehensive system to identify expressed SNVs from RNA-sequencing data. METHODS: We have developed a novel computational system (The eSNV-Detect) with parallel alignment strategies to identify expressed SNVs accurately from tumor transcriptome sequencing data. Sequence-based features like reads supporting reference allele, alternate allele, ratio of alternate reads to total read depth, base qualities, mapping qualities, forward strand and reverse strand supporting reads etc. along with a variety of databases such as dbSNP, 1000 genome, 5400 exome, refGene, avsift, ljb_phylop from UCSC were used to call SNVs from RNA-sequencing data. For the expressed SNVs detected in tumors, we can also identify the amino acid change and classify the protein domains using our method. RESULTS: We have applied the eSNV-Detect method to call novel expressed SNVs in two tumors (one HER2 positive and one ER positive breast tumor). BWA and Bowtie were used to align the two breast tumors. Several filtering criteria's were applied to the tumors to remove any known (germ line) or low confidence SNVs. We randomly selected 83 and 31 eSNVs for the HER2 and ER positive tumors respectively and performed Sanger sequencing validation in tumor and matched normal tissues of the tumor. We were able to validate 81 out of 83 eSNVs in the HER2 tumor sample, and 29 out of 31 eSNVs in the ER positive tumor sample. Of the eSNVs that we validated 39/81 and 10/31 were localized to functional protein domains in HER2 and ER positive tumors respectively. We are also in the process of validating eSNVs detected from RNA-seq with the tumor and blood exome sequencing data we have for the same patients. Citation Format: Xiaojia Tang, Saurabh Baheti, Khader Shameer, Kevin J. Thompson, Jean-Pierre Kocher, Edith A. Perez, Aubrey E. Thompson, Krishna R. Kalari. The eSNV-Detect: a computational system to identify expressed single nucleotide variants from tumor transcriptomes. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3185. doi:10.1158/1538-7445.AM2013-3185

Abstract Next Generation Sequencing (NGS) technologies provide rapid genomic analyses of single nucleotide variants, RNA expression and DNA copy number. Application of these technologies to material isolated from formalin fixed paraffin embedded (FFPE) tissue and even degraded frozen material could provide powerful replication samples but remains challenging. We tested the nanoString platform to validate deep sequence analysis of gene expression and DNA copy number in degraded and FFPE material. Firstly, RNA from the Universal Human Reference RNA and a breast cancer cell line (MDA-MB-436) was artificially degraded to different degrees (RIN 1.2-6.8). We used the nanoString platform to simultaneously measure RNA expression across 226 genes in each degraded sample and the corresponding undegraded RNA. Secondly we isolated RNA and DNA from matched fresh frozen and FFPE tissues from nine breast cancer patients (3 HER2+/ER+/PR+, 2 HER2+/ER-/PR-, 2 HER2+/ER+/PR-, 2 HER2-/ER+/PR+) using the nanoString platform to compare expression and copy number across 226 and 86 genes respectively. Finally, we correlated expression and copy number data generated by nanoString with Illumina transcriptome and whole genome sequencing (WGS). NanoString log2 expression fold-change between all artificially degraded samples and their undegraded counterpart showed extremely high correlation (r2&gt;0.91). NanoString DNA copy number between matched fresh-frozen and FFPE showed a high degree of correlation (r2=0.71). All gene amplifications with copy number ≥ 5 in DNA from fresh-frozen material (N=9) were successfully identified in DNA from FFPE material. We also observed good correlation of gene expression between whole transcriptome sequencing and the nanoString platform (r2 0.59 - 0.72) in FFPE and artificially degraded material and for DNA copy number between WGS and nanoString in DNA isolated from cancer cell lines (r2=0.96). The nanoString platform provides reliable data from highly degraded and FFPE material and correlates with sequence analysis of both expression and copy number from NGS platforms demonstrating potential for large-scale replication studies in FFPE material. Citation Format: Nadine Norton, Edith A. Perez, Yan W. Asmann, Jennifer M. Carr, Brian M. Necela, Jennifer M. Kachergus, Jin Jen, Bruce W. Eckloff, E Aubrey Thompson. Analysis of gene expression and copy number variation in breast tumors using both sequencing and hybridization-based platforms. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 2005. doi:10.1158/1538-7445.AM2013-2005