Abstract Background: The development of novel chemotherapeutic agents has significantly improved the prognosis and survival of patients with breast cancer. ER positive or luminal tumors represent around two thirds of all breast cancers and these cancers are comprised of different histologies including differing gene expression and mutational profiles. This study examined biomarkers involved in immune evasion including PD-L1 and its association with other biological pathways as potential treatment options for luminal breast cancer patients. Methods: We analyzed 1311 breast samples using a multiplatform approach including whole genome mRNA expression (HumanHT-12 v4 BeadChip Illumina Inc., San Diego, CA), protein expression (immunohistochemistry), gene copy number changes (in situ hybridization) and gene sequencing and an additional 304 breast samples were tested for PD-1 and PD-L1 by IHC. The mRNA expression data was based on whole tumor and represents cell type heterogeneity. Heat map analysis was done to look at differential gene expression between the PD-L1 high vs low luminal breast cancers. Results: Based on expression of ER, PR and HER2 by IHC, we subdivided the data into sub- cohorts. Elevated mRNA expression of immune markers including PD-L1, CTLA4, B7H-3, and IDO1 was noted in the ER+HER2- luminal population including ER+ PR- and ER+PR+ cohort. Positive correlation was found between PD-L1 and other immune regulators including CTLA-4, B7-H3 and IDO1 (Spearman correlations of 0.49, 0.36 and 0.46). Protein expression of PD-L1 was found to be specific to the HER2 negative cohort with no expression in the HER2 positive cohort regardless of ER status. Within the ER+HER2- cohort, PD-L1 expression was 5% {ER+PR+ was 5% (4/81) and the ER+PR- was 6% (2/34)}. In contrast, PD-L1 expression was higher in the triple negative cohort, 17% (13/75). The expression of PD-1 on the other hand was present throughout the different cohorts. PD-1 expression ranged from 43% in the ER+HER2- cohort {41% (14/34) in ER+PR-HER2-; 43% (35/81) in ER+PR+HER2-} to 33% in the ER+HER2+ cohort {44% (4/9) in ER+PR-Her2+; and 17% (1/6) in ER+PR+HER2+}. In the ER-HER2+ cohort PD-L1 expression was 75%{6/8 in ER-PR-HER2+ and 0/0 in ER-PR+HER+} and 63%(47/75) in the triple negative cohort. Pathway analysis of the PD-L1 negative vs positive luminal population identified 127 genes involved in various cancer pathways including EGFR and VEGF signaling network (P=7.47e-09). Conclusions: The expression of immune regulatory targets in the breast cancer population suggests that immune- targeted therapies with anti PD-1/PD-L1, CTLA4, B7-H3 and IDO1 may be effective especially in the luminal cohort. Our study further shows that ER+HER2- breast cancer patients may be better candidates for immunotherapy with checkpoint inhibitors as compared to ER+HER2+ due to lack of PD-L1 expression in the HER2 positive cohort. Further validation of our findings is ongoing. Citation Format: Gargi D Basu, Anatole Ghazalpour, Randal Vader, Sandeep Reddy, Karen Anderson, Ann McCullough, Barbara Pockaj. Expression of novel immunotherapeutic targets in luminal breast cancer patients [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P5-04-08.
Abstract P2-03-07: Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer
Abstract Background: Breast tumors exhibit intratumor heterogeneity resulting in targeted therapy resistance and other challenges in disease management. To address the sources of heterogeneity, we performed a unique, in-depth analysis of clonal architecture in primary chemoradiation-naïve breast cancers. We combined DNA content-based flow cytometry and ploidy analysis with aCGH and next-generation sequencing (NGS) in multiple biopsies from the tumors and involved lymph nodes (LNs). Material and methods: We used DNA content-based flow sorting to isolate nuclei from distinct populations of diploid and aneuploid tumor cells in surgical tumor samples from two chemoradiation-naïve patients. Each sorted tumor cell population was interrogated with aCGH and exome NGS. In Patient #1, we used 12 fresh frozen sections morphologically mapped from within a HER2+, ER+, PR- primary invasive ductal carcinoma (IDC) of histological grade 3 with LN involvement and 2-3 sections from 2 out of 5 LNs. In Patient #2, 11 morphologically mapped fresh frozen sections were analyzed from a grade 2, ER+, PR+, HER2+, BRCA2 mutant LN- IDC. In parallel, matching samples were processed for IHC assays. Results: We identified multiple co-existing aneuploid populations within the biopsies. The 17 primary and LN biopsies from Patient #1 fell into 6 distinct ploidy groups albeit with aberrant but homogenous aCGH profiles, characterized by SARC amplification and homozygous deletions in ROBO1 and ROBO2. In contrast a dominant ploidy was identified throughout Patient #2 but with heterogeneous aCGH profiles. Mutation profiles obtained through exome sequencing further confirmed that ploidy was the main driver in Patient #1 whereas copy number aberrations played the key role in Patient #2 with the BRCA2 mutation (R3129X). A dendrogram based on exome variant calls of the aneuploid populations in Patient #1 strongly correlated with ploidy group and further revealed the specific clonal population characterized by a 5N ploidy and homozygous mutations in TP53 and PIK3CA as the progenitor to the ploidies present in the distant LNs. Strikngly, both patients had no HER2 amplification or mutation across their clonal populations, contradicting the initial IHC staining in a single core biopsy. Conclusions Rather than inferring the presence of distinct tumor cell populations, our novel flow-sorting based approach of first identifying the clonal populations and then interrogating their genomes, provides an objective method of exploring the sources and clinical significance of tumor heterogeneity. Our approach of clonal analysis has broad implications in the study of tumor heterogeneity and the identification of drivers in breast and other solid tumors that can advance more effective treatment and clinical management of patients with this disease. Citation Format: Princy Francis, Lucretia M Alvarez, Elizabeth Lenkiewicz, Mia Champion, Lisa Evers, Karen L Anderson, Ann E McCullough, Michael T Barrett, Barbara Pockaj. Deep clonal profiling identifies distinct mechanisms of heterogeneity and evolution in breast cancer [abstract]. In: Proceedings of the Thirty-Seventh Annual CTRC-AACR San Antonio Breast Cancer Symposium: 2014 Dec 9-13; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2015;75(9 Suppl):Abstract nr P2-03-07.
Abstract 4694: Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility
Abstract Background: Whole genome/exome/RNA sequencing has revolutionized the ability to assess the genomic landscape of cancer and is increasingly being utilized for clinical decision-making. Initial clinical applications have been constrained by specimen quantity, analyte quality and the time from sample acquisition to results report. Methods: Patients with advanced cancers underwent surgical resection, excisional/core biopsies, or bone marrow biopsy. Samples were analyzed by whole genome or exome sequencing in addition to RNA sequencing, bioinformatics analysis, and therapeutic target prioritization by a multi-disciplinary Clinical Genomics Board. All prioritized targets were CLIA validated using Sanger sequencing, RT-qPCR, FISH, or IHC as appropriate. Treatment was delivered using off-label FDA approved drugs, clinical trials, or single patient INDs. Results: We have enrolled 40 patients for whom sequencing data is available on 33. The initial 6 patients were evaluated in a non-CLIA pilot phase and 27 in a CLIA-enabled phase. Tumor types in the CLIA-enabled phase with the highest enrollment were pancreatic cancer (n=8) and cholangiocarcinoma (n=8). We sought to quantify the targets identified along with clinical benefit, defining these as the “Actionable Index” (AI) (proportion of patients with ≥ 1 putative drug target) and “Utility Index” (UI) (proportion of patients who derive clinical benefit). Putative therapeutic targets were identified in 7/8 (AI=0.88) cholangiocarcinoma (CC) patients and in 5/8 (AI=0.63) pancreatic cancer (PC) patients. All 3 CC patients who received target directed treatment achieved a partial response (UI=0.38). In contrast, none of the 4 PC patients who received target directed therapy had treatment response (UI=0.0). Interestingly no actionable targets were identified in 1 CC and in 2 PCs. One CC with an identified target was unable to access the drug and subsequently died. A CC patient and a PC patient, each with identified targets, expired prior to the initiation of therapy. Conclusions: While whole genome/exome/RNA sequencing is providing unparalleled detail of tumor genomes, the application to the clinic must be carefully considered. Actionability of targets will eventually need to be defined in close relation to eventual clinical utility and appropriate refinements to disease-gene-drug databases implemented. Preliminary observations in pancreatic cancer and cholangiocarcinoma demonstrate disparity in correlation between utility indices and actionable indices. Application of these tools in larger cohorts and types of tumors will need to be conducted to ascertain more precise estimates. Additional measures that are organ-site agnostic but pertain to specific targets (e.g. BRAF) will also need to be developed in order to facilitate more judicious application of sequencing in the clinical setting. Citation Format: Jan B. Egan, Alan H. Bryce, Mia D. Champion, Winnie S. Liang, Rafael Fonseca, Ann E. McCullough, Michael T. Barrett, Katherine Hunt, Rachel M. Condjella, Robert R. McWilliams, Stephen D. Mastrian, Janine LoBello, Daniel Von Hoff, David W. Craig, A. Keith Stewart, John D. Carpten, Mitesh J. Borad. Indices of actionability and clinical utility in a CLIA-enabled study of whole genome/exome/RNA sequencing in 33 cancer patients: Actionable vs. utility. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4694. doi:10.1158/1538-7445.AM2014-4694
Teaching Video Neuro
Images
: How to unmask respiratory strength confounded by facial diplegia
Genomic Analysis Reveals That Immune Function Genes Are Strongly Linked to Clinical Outcome in the North Central Cancer Treatment Group N9831 Adjuvant Trastuzumab Trial
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.
Sinonasal Phosphaturic Mesenchymal Tumor: Case Report and Systematic Review
We report a case of sinonasal phosphaturic mesenchymal tumor (PMT) and conduct a systematic review of the literature to highlight a unique paraneoplastic syndrome associated with PMT. We used English language publications from Medline and Cochrane databases (1970–2013) as data sources. A systematic review of the literature was conducted. All reported cases of head and neck PMTs were included. The presence or absence of the associated paraneoplastic syndrome was noted. We found 33 cases of PMT in the head and neck reported in the literature, 17 of which occurred in the sinonasal area. Approximately 5% of all PMTs are located in the head and neck. Just greater than half are concentrated in the sinonasal area, and the remaining involve various bony and soft tissue structures of the head and neck. PMT is sometimes associated with a paraneoplastic syndrome of tumor-induced (oncogenic) osteomalacia (TIO) causing bone pain, muscle weakness, and pathologic fractures. We present the 18th reported case of sinonasal PMT. A smooth mucosa-covered midline intraseptal mass filling the posterior nasal cavity with destruction and erosion of the skull base was found in an adult male. The patient underwent successful endoscopic resection with wide negative margins and is without recurrence at 24-month follow-up. PMT is a benign, locally aggressive tumor with rare malignant transformation. Knowledge of the bony invasion and destruction caused by this tumor is essential in planning surgical resection with wide negative margins. Familiarity with the associated TIO is essential to investigate for and manage any associated bony morbidity.
Antineoplastic Agents and the Associated Myelosuppressive Effects
Bone marrow is a complex organ responsible for the regulation of hematopoietic cell distribution throughout the human body. Patients receiving antineoplastic agents as a therapeutic intervention for hematologic malignancy often experience varying degrees of myelotoxicity. Antineoplastic agents cause hypocellularity in marrow resulting in a reduction in hematopoietic tissue activity and a corresponding decline in cell production. Quantifying the adverse effects on hematopoiesis is based on the properties of a single agent, the use of individual drugs within a combination chemotherapy regimen, and the course, or courses, of chemotherapy designed to treat cancer. The direct or indirect suppression of erythrocytes, granulocytes, and megakaryocytes has potential for multiple negative clinical consequences ranging from increased monitoring of blood counts to life-threatening infection and death. This review will provide an overview of the structure and function of competent adult bone marrow, describe the process of hematopoiesis, and characterize the myelotoxicities associated with common antineoplastic agents currently used in the treatment of cancer.
Abstract PD4-7: Deep clonal profiling of primary breast cancer and distant lymph node metastases
Abstract Background: Breast and other solid tumors exhibit high and varying degrees of intra-tumor heterogeneity that make the management and treatment of these diseases rather difficult. In order to study clinically relevant tumor heterogeneity in detail we performed an in-depth analysis of the clonal architecture of primary chemoradiation-naive breast cancers and their lymph node metastases. We combined DNA content-based flow cytometry and ploidy analysis with high-definition array comparative genomic hybridization (aCGH) and next-generation sequencing technologies to interrogate the genomes and transcriptomes of multiple biopsies from the tumors and involved lymph nodes. Thus rather than inferring the presence of distinct tumor cell populations, our flow-sorting based approach of first identifying and defining the clonal populations and then interrogating their genomes provides a highly objective method of exploring the clinical significance of tumor heterogeneity in solid tumors. Material and methods: We used DAPI-based DNA content measurements and flow sorting to isolate nuclei from distinct clonal populations of diploid and aneuploid tumor cells in surgical tumor samples and distant lymph nodes from chemoradiation naive patients. In parallel, matching samples were processed for pathological, transcriptome, and IHC based assays. Each distinct sorted tumor cell population was then interrogated with aCGH and next generation sequencing. For each patient, the detailed profiles of ploidy, copy number aberrations and mutations were used to recreate and map the lineages present in the primary tumor and lymph. In one detailed case, we used 12 fresh frozen sections morphologically mapped from within a chemo-naïve primary invasive ductal carcinoma of histological grade 3 with lymph node involvement, 2-3 fresh frozen sections from 2 out of 5 lymph nodes with metastatic carcinoma, formalin-fixed paraffin-embedded (FFPE) tissue sections from 2 more of the involved lymph nodes and 5 morphologically mapped FFPE samples of normal tissue adjacent to the tumor. Results: We identified multiple coexisting aneuploid populations within biopsies from individual patients. Our clonal analysis determined the genomic aberrations arising in lineages that spread throughout the primary tumor and later bifurcated to distinct lymph nodes, revealing distinct therapeutic targets in the trunk and branches of the tumor. We identified driver events including high-level focal amplifications (e.g. SARC) and homozygous deletions (e.g. ROBO1 and ROBO2), that converge on distinct cellular signaling pathways. Conclusion: The approach highlighted here has broad implications in the study of tumor heterogeneity in breast and other solid tumors by providing a unique ultra-high resolution view of tumor heterogeneity that can advance more effective treatment and clinical management of patients with this disease. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr PD4-7.
Abstract P6-04-03: ERb and breast cancer: A potential predictive and prognostic biomarker and novel therapeutic drug target
Abstract Background: Estrogen receptor beta (ERβ), unlike ERα, classically functions as a tumor suppressor in vitro. However, ERβ's biological functions in vivo and predictive/prognostic value in breast cancer are controversial. Methods: Expression of ERβ protein was determined using a well characterized and validated ERβ specific monoclonal antibody that only recognizes the full-length form of this receptor (PPG5/10) in the following 3 cohorts: 1) a cohort with all breast cancer subtypes (n = 182), 2) a prospective NCCTG adjuvant tamoxifen trial for postmenopausal women with ERα positive breast cancer with long-term follow-up (n = 198) and 3) a cohort of 80 triple negative breast cancers (TNBCs). To elucidate the biological functions of ERβ in breast cancer, novel ERβ expressing MCF7 and MDA-MB-231 cell lines were developed and characterized using multiple techniques and were examined for responsiveness to various ERβ targeted therapies. Results: About one-third of all breast tumors, regardless of sub-type, were shown to express nuclear ERβ and this expression was independent of ERα or HER2. In the NCCTG 89-30-52 cohort, breast cancer recurrence rates were significantly associated with ERβ protein expression with 10 year recurrence rates of 25%, 15% and 4% for zero, low or high levels of ERβ expression respectively. Interestingly, in TNBCs, nuclear ERβ was expressed at intermediate or high levels in 24% of tumors. In the triple negative MDA-MB-231 cell line, expression of ERβ led to inhibition of proliferation and induction of apoptosis in response to estrogen and multiple ERβ specific agonists. Conversely, these same treatments induced proliferation of ERβ-expressing MCF7 cells which endogenously express ERα. However, ERβ expression sensitized MCF7 cells to the anti-proliferative effects of anti-estrogens. Microarray analysis and RT-PCR profiling of MDA-MB-231-ERβ cells revealed that estrogen and ERβ agonists highly induced the expression of multiple cystatins, a family of small secreted cysteine protease inhibitors which function as tumor suppressors, and potently inhibited canonical TGFβ signaling. Conditioned media isolated from estrogen or ERβ agonist treated MDA-MB-231-ERβ cells suppressed the proliferation rates and inhibited TGFβ signaling in other TNBC cell lines, effects that were completely reversed following the depletion of cystatins from the conditioned media. Conclusions: These data demonstrate that ERβ is expressed in a substantial proportion of breast cancers and may have value as a predictive and/or prognostic biomarker. Therapeutic targeting of ERβ may have clinical benefit in multiple breast cancer sub-types; however, the specific drug of choice may vary based on ERα status. Specifically, we have demonstrated that ERβ expression in ERα+ MCF7 cells sensitizes them to the effectiveness of anti-estrogens, an observation that was confirmed in women enrolled in a prospective adjuvant tamoxifen trial. In TNBCs, where targeted therapies are lacking, our data suggest that targeting ERβ with either estrogen or ERβ specific agonists will elicit anti-tumor effects through the induction of cystatins and inhibition of TGFβ signaling resulting in tumor regression and improved patient outcomes. Citation Information: Cancer Res 2013;73(24 Suppl): Abstract nr P6-04-03.
Stability in the cumulative incidence, severity and mortality of 101 cases of invasive mucormycosis in high‐risk patients from 1995 to 2011: a comparison of eras immediately before and after the availability of voriconazole and echinocandin‐amphotericin co
SummaryAs invasive mucormycosis (IM) numbers rise, clinicians suspect prior voriconazole worsens IM incidence and severity, and believe combination anti‐fungal therapy improves IM survival. To compare the cumulative incidence (CI), severity and mortality of IM in eras immediately before and after the commercial availability of voriconazole all IM cases from 1995 to 2011 were analysed across four risk‐groups (hematologic/oncologic malignancy (H/O), stem cell transplantation (SCT), solid organ transplantation (SOT) and other), and two eras, E1 (1995–2003) and E2, (2004–2011). Of 101 IM cases, (79 proven, 22 probable): 30 were in E1 (3.3/year) and 71 in E2 (8.9/year). Between eras, the proportion with H/O or SCT rose from 47% to 73%, while ‘other’ dropped from 33% to 11% (P = 0.036). Between eras, the CI of IM did not significantly increase in SCT (P = 0.27) or SOT (P = 0.30), and patterns of anatomic location (P = 0.122) and surgical debridement (P = 0.200) were similar. Significantly more patients received amphotericin‐echinocandin combination therapy in E2 (31% vs. 5%, P = 0.01); however, 90‐day survival did not improve (54% vs. 59%, P = 0.67). Since 2003, the rise of IM reflects increasing numbers at risk, not prior use of voriconazole. Frequent combination of anti‐fungal therapy has not improved survival.