1
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Mohapatra G, Dachet F, Coleman LJ, Gillis B, Behm FG. Identification of unique genomic signatures in patients with fibromyalgia and chronic pain. Sci Rep 2024; 14:3949. [PMID: 38366049 PMCID: PMC10873305 DOI: 10.1038/s41598-024-53874-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 02/06/2024] [Indexed: 02/18/2024] Open
Abstract
Fibromyalgia (FM) is a chronic pain syndrome characterized by widespread pain. The pathophysiology of fibromyalgia is not clearly understood and there are no specific biomarkers available for accurate diagnosis. Here we define genomic signatures using high throughput RNA sequencing on 96 fibromyalgia and 93 control cases. Our findings revealed three major fibromyalgia-associated expression signatures. The first group included 43 patients with a signature enriched for gene expression associated with extracellular matrix and downregulation of RhoGDI signaling pathway. The second group included 30 patients and showed a profound reduction in the expression of inflammatory mediators with an increased expression of genes involved in the CLEAR signaling pathway. These results suggest defective tissue homeostasis associated with the extra-cellular matrix and cellular program that regulates lysosomal biogenesis and participates in macromolecule clearance in fibromyalgia. The third group of 17 FM patients showed overexpression of pathways that control acute inflammation and dysfunction of the global transcriptional process. The result of this study indicates that FM is a heterogeneous and complex disease. Further elucidation of these pathways will lead to the development of accurate diagnostic markers, and effective therapeutic options for fibromyalgia.
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Affiliation(s)
- Gayatry Mohapatra
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, 840 S. Wood St., Chicago, IL, 60612, USA.
| | - Fabien Dachet
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, 840 S. Wood St., Chicago, IL, 60612, USA
| | - Louis J Coleman
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, 840 S. Wood St., Chicago, IL, 60612, USA
| | - Bruce Gillis
- Department of Medicine, University of Illinois at Chicago (UIC) College of Medicine, Chicago, USA
| | - Frederick G Behm
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, 840 S. Wood St., Chicago, IL, 60612, USA
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2
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Vormittag-Nocito E, Acosta AM, Agarwal S, Narayan KD, Kumar R, Al Rasheed MRH, Kajdacsy-Balla A, Behm FG, Mohapatra G. In-Depth Comparison of Genetic Variants Demonstrates a Close Relationship Between Invasive and Intraductal Components of Prostate Cancer. Mod Pathol 2023; 36:100130. [PMID: 36933394 DOI: 10.1016/j.modpat.2023.100130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 01/06/2023] [Accepted: 01/31/2023] [Indexed: 02/15/2023]
Abstract
Intraductal carcinoma (IDC) of the prostate is often associated with concurrent high-grade invasive prostate cancer (PCa) and poor clinical outcomes. In this context, IDC is thought to represent the retrograde spread of invasive prostatic adenocarcinoma into the acini and ducts. Prior studies have demonstrated a concordance of PTEN loss and genomic instability between the IDC and high-grade invasive components of PCa, but larger genomic association studies to solidify our understanding of the relationship between these 2 lesions are lacking. Here, we evaluate the genomic relationship between duct-confined (high-grade prostatic intraepithelial neoplasia and IDC) and invasive components of high-grade PCa using genetic variants generated by whole exome sequencing. High-grade prostatic intraepithelial neoplasia and IDC were laser-microdissected, and PCa and nonneoplastic tissue was manually dissected from 12 radical prostatectomies. A targeted next-generation sequencing panel was used to identify disease-relevant variants. Additionally, the degree of overlap between adjacent lesions was determined by comparing exome-wide variants detected using whole exome sequencing data. Our results demonstrate that IDC and invasive high-grade PCa components show common genetic variants and copy number alterations. Hierarchical clustering of genome-wide variants suggests that in these tumors, IDC is more closely related to the high-grade invasive components of the tumor compared with high-grade prostatic intraepithelial neoplasia. In conclusion, this study reinforces the concept that, in the context of high-grade PCa, IDC likely represents a late event associated with tumor progression.
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Affiliation(s)
- Erica Vormittag-Nocito
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Andres M Acosta
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Shivangi Agarwal
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Kunwar D Narayan
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Ravindra Kumar
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Mohamed Rizwan H Al Rasheed
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Andre Kajdacsy-Balla
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Frederick G Behm
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois
| | - Gayatry Mohapatra
- Laboratory of Genomic Medicine, Department of Pathology, University of Illinois at Chicago (UIC) College of Medicine, Chicago, Illinois.
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3
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Zhang Z, Ma X, Ekiert J, Mohapatra G, Coleman L, Truica CI, Blaes A, Rana J, Pavankumar T, Green L, Yu M, Toppmeyer D, O’Regan R, Wisinski KB, Danciu OC, Hoskins K, Gao Y. Abstract P5-02-47: Quantitative proteomic analysis of plasma exosomes from patients with advanced hormone receptor-positive/HER2-negative breast cancer receiving palbociclib and tamoxifen. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p5-02-47] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Background: A CDK4/6 inhibitor (CDK4/6i) in combination with endocrine therapy (ET) is standard first-line therapy for advanced, hormone receptor (HR)-positive, HER2-negative breast cancer (BC). However, not all patients respond and responders eventually develop drug resistance and disease progression. Exosomes are small extracellular vesicles that are secreted by both normal and tumor cells as a mechanism for intercellular communication. The protein cargo of exosomes reflects biological processes activated in cancer cells and may serve as predictive biomarkers to select patients most likely to benefit from treatment and to identify mechanisms of resistance. Methods: Whole blood was collected in Streck tubes at baseline and at time points during treatment from patients with advanced, HR+/HER2- BC enrolled in a single arm, phase 2 trial of first line therapy with palbociclib plus tamoxifen that was conducted by The Big Ten Cancer Research Consortium (NCT02668666). Plasma was separated and stored at -80C within 48 hours of collection. Different exosome protein isolation methods were evaluated and optimized to maximize protein recovery. Exosome and plasma proteins were extracted, purified, and digested with trypsin. Tryptic peptides were isotopically labeled with Tandem Mass Tag (TMT) 10plex for protein expression level quantitation. Triplicate samples from each patient were analyzed by LC-MS/MS with QExactive HF Orbitrap mass spectrometer. An unsupervised clustering method was used to classify patients based on exosomal proteomic profiles. Results: We developed a sensitive and efficient exosome extraction method to obtain exosome protein from minimal volumes of patient plasma. The optimized exosome isolation method quantitatively identified 800 proteins from a 100 µl plasma sample. Significant enrichment of exosome-specific markers was observed when comparing patient samples with healthy donor samples. A network model was developed to differentiate responders/stable disease patients from non-responders using exosome proteomics data generated from pretreatment plasma samples. Preliminary data from the first 22 patients analyzed (responders, n= 6; stable disease, n=12, and non-responder, n=4) identified a network of 45 proteins that predicted response/stable disease vs progressive disease with high specificity (95%) and sensitivity (89%). We also noted significant differences in the exosome proteomic profiles of patients with de novo vs. recurrent metastatic disease. A network of 22 proteins differentiated de novo vs recurrent metastatic disease with > 85% sensitivity and 78% specificity, providing molecular evidence differentiating the two disease states. This finding is relevant in light of the higher response rate and improved PFS in patients with de novo metastatic disease in this trial, and confirms that this approach may provide molecular insight into mechanisms of primary resistance to CDK4/6i. Results for the entire trial cohort of 46 patients will be presented, along with analysis of serial samples collected at various time points during treatment. Conclusion: This proof-of-concept study demonstrates that an ultrasensitive exosome proteomics platform combined with deep learning methods is ideally suited for developing predictive protein biomarkers and for exploring molecular mechanisms of drug resistance. If results are confirmed, this novel approach holds great promise for identifying protein biomarkers that could be used to select patients unlikely to respond to ET and CDK4/6i in order to spare them ineffective treatment and for selecting participants for clinical trials of novel agents. Additionally, exosome proteomics data generated from serially collected specimens can be used to identify mechanisms of resistance that emerge during therapy. This approach can be widely applied to other treatment regimens and disease sites. This study was funded by Pfizer.
Citation Format: Ziwei Zhang, Xiuyuan Ma, Julia Ekiert, Gayatry Mohapatra, Louis Coleman, Cristina I. Truica, Anne Blaes, Jatin Rana, Tandra Pavankumar, Lauren Green, Menggang Yu, Deborah Toppmeyer, Ruth O’Regan, Kari B. Wisinski, Oana C. Danciu, Kent Hoskins, Yu Gao. Quantitative proteomic analysis of plasma exosomes from patients with advanced hormone receptor-positive/HER2-negative breast cancer receiving palbociclib and tamoxifen [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-47.
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Affiliation(s)
| | | | | | | | | | | | - Anne Blaes
- 7University of Minnesota, Minneapolis, MN
| | | | | | | | - Menggang Yu
- 11University of Wisconsin Carbone Cancer Center
| | | | - Ruth O’Regan
- 13University of Rochester Medical Center, Rochester, New York
| | - Kari B. Wisinski
- 14University of Wisconsin Carbone Cancer Center, MADISON, Wisconsin
| | | | | | - Yu Gao
- 17University of Illinois at Chicago
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Vormittag-Nocito E, Kumar R, Narayan KD, Chen Z, David O, Behm F, Mohapatra G. Utilization of cytologic cell blocks for targeted sequencing of solid tumors. Cancer Med 2023; 12:4042-4063. [PMID: 36125633 PMCID: PMC9972011 DOI: 10.1002/cam4.5261] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 08/26/2022] [Accepted: 09/07/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Targeted sequencing of cytologic samples has significantly increased in recent years. With increasing numbers of clinical trials for variant specific therapeutics, validating a comprehensive assay for cytologic samples has become clinically important. AIM For this study, a retrospective review of cytologic cell blocks from fine needle aspirations and fluid specimens was performed. METHODS Two hundred twenty six total cases of solid tumor malignancies were identified, of which 120 cases and 20 lymph node negative controls were sequenced for the Oncomine Comprehensive Assay. Cytology and surgical specimen correlation was performed in a subset of cases. Statistical analysis to determine variant concordance was performed. RESULTS Within the 117 cases sequenced, a total of 347 pathogenic variants were detected. Of the 117 cases, 32 cases (27.4%) would qualify for FDA approved targeted therapy according to the current guidelines, and an additional 23 cases (19.7%) would qualify for clinical trial based on pathogenic variants detected. DISCUSSION With over 27% of cases in our cohort qualifying for some form of targeted therapy, our study shows the importance of providing comprehensive molecular diagnostic options. Despite only half of the cytology cases in the review period having enough material to be sequenced, overall approximately 27% of patients in this cohort would have benefitted from this service.
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Affiliation(s)
| | - Ravindra Kumar
- Department of Pathology, Laboratory of Genomic Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Kunwar Digvijay Narayan
- Department of Pathology, Laboratory of Genomic Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Zhengjia Chen
- Department of Biostatistics, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Odile David
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Frederick Behm
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Gayatry Mohapatra
- Department of Pathology, Laboratory of Genomic Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
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Zhang Z, Ma X, Ekiert J, Simons Y, Coleman L, Truica CI, Blaes AH, Rana J, Tandra P, Green L, Yu M, Toppmeyer D, O'Regan R, Wisinski KB, Danciu OC, Mohapatra G, Hoskins K, Gao Y. Identification of exosome protein biomarkers in patients with advanced hormone receptor-positive breast cancer treated with palbociclib and tamoxifen. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e13014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e13014 Background: The combination of a CDK4/6 inhibitor (CDK4/6i) plus endocrine therapy (ET) doubles progression free survival compared with ET alone in hormone receptor (HR)-positive, advanced breast cancer (BC), although not all patients respond and responders eventually develop resistance and disease progression. Exosomes are membrane-bound extracellular vesicles that are released from tumors for cell-to-cell transfer of lipids, proteins, and nucleic acids. Analysis of exosome cargo provides a dynamic and functional read-out of biological pathways that are activated in cancer cells. We performed deep proteomic analysis of plasma exosomes from patients receiving palbociclib/tamoxifen to identify protein networks that predict response to CDK4/6i and ET and that may contribute to drug resistance. Methods: The Big Ten Cancer Research Consortium conducted a phase II trial of palbociclib plus tamoxifen as first line therapy for patients with advanced, HR+/HER2- BC (NCT02668666). Whole blood was collected in Streck tubes from all participants at baseline and at time points during study treatment. Plasma was separated and stored at -80C within 48 hours of collection. Exosome extraction and purification was optimized for maximum proteomic coverage. Proteins were labeled with tandem mass tag 10plex and quantified with ultrasensitive mass spectrometry. Detected proteins were mapped to pathways with the Reactome Pathway Database. An unsupervised machine learning approach with modified graphic neural networks was used to determine whether differential expression of protein networks in plasma exosomes predicts treatment response. Results: We detected more than 700 exosome proteins from100 μl plasma in 16 study participants (responders, n = 11; non-responders, n = 5). Significant enrichment of exosome-specific markers was observed when comparing patient samples with healthy donor samples. Exosomal protein networks in pretreatment samples predicted treatment response with 95% sensitivity and 85% specificity in unsupervised clustering. The top weighted protein networks in the treatment response model are enriched for membrane attack complex, complement activation and lipoprotein receptor binding pathways. Conclusions: Ultrasensitive proteomic analysis combined with deep learning methods provides a detailed picture of the proteome landscape of plasma exosomes in advanced breast cancer patients and is ideally suited for serial analyses to study emergence of resistance mechanisms. This approach also demonstrated unparalleled accuracy as a predictive biomarker to identify patients unlikely to respond to CDK4/6i and ET. If results are confirmed, this novel approach could hold great promise for identifying protein biomarkers and mechanisms of resistance that emerge during anticancer therapy. Clinical trial information: NCT02668666.
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Affiliation(s)
- Ziwei Zhang
- University of Illinois at Chicago College of Pharmacy, Chicago, IL
| | - Xiuyuan Ma
- University of Illinois at Chicago, Chicago, IL
| | - Julia Ekiert
- University of Illinois Chicago College of Pharmacy, Chicago, IL
| | | | | | | | | | - Jatin Rana
- Michigan State University, East Lansing, MI
| | | | | | - Menggang Yu
- University of Wisconsin Department of Biostatistics and Medical Informatics, Madison, WI
| | | | - Ruth O'Regan
- University of Wisconsin Carbone Cancer Center, Madison, WI
| | | | | | - Gayatry Mohapatra
- University of Illinois at Chicago College of Medicine, Division of Pathology, Chicago, IL
| | | | - Yu Gao
- University of Illinois Chicago, Chicago, IL
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6
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Simons Y, Hassan M, Chlipala G, Danciu OC, Gadi VK, Singh M, Mohapatra G, Hoskins K. Molecular characterization of luminal breast tumors in African American women. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.550] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
550 Background: Racial disparities in breast cancer (BC) mortality are attributed to later stage diagnoses and a higher incidence of triple-negative BC among African American (AA) women. In previous work, we showed that AA women with ER+ BC are more likely to develop biologically aggressive disease and are more likely to die from early stage, ER+ BC than non-Hispanic White women (Hoskins et al, JAMA Oncol, 2021). The underlying molecular drivers of this disparity are unknown. Here we report the molecular characterization of a series of luminal BC from AA women. Methods: Consecutive breast tumor specimens received in the Pathology Department underwent next generation sequencing (NGS). Unstained FFPE tissue sections were macro-dissected to isolate tumor cells, and nucleic acids were extracted using commercially available kits. DNA and RNA sequencing libraries were prepared with the Oncomine Comprehensive Assay v3 (OCAv3) (Thermo Fisher), which includes 161 driver genes and detects SNVs, CNVs, INDELs and gene fusions. Sequencing was performed on the Ion S5XL sequencer. Sequencing reads were mapped to the UCSC human genome build GRCh37/hg19 using Torrent Suite™ software (version 5.10; Thermo Fisher). Data analysis and variant calling was performed using the Ion Reporter analysis tool. Results: We identified 60 somatic driver gene alterations in luminal tumors from 35 AA patients (primary tumors, n = 26; metastatic tumors, n = 9). Recurrently altered genes identified in > 5% of tumors are listed in the Table. The most frequently altered gene was PIK3CA (42% of tumors). ESR1 gene fusions were seen in 25% of tumors. Interestingly, an equal frequency of ESR1 fusions were detected in primary (27%) and metastatic (22%) tumors, in contrast to activating mutations which are found in recurrent tumors following treatment with aromatase inhibitors. ARID1A alterations were identified in 17% of primary tumors. ARID1A encodes a subunit of the SWI/SNF chromatin remodeling complex. Alterations in ARID1A confer endocrine resistance, and are enriched in recurrent tumors in the literature. We also found a high number of CNVs in members of the FGF gene family (36% of tumors), which are also associated with resistance to endocrine therapy. An in silico analysis comparing our findings with publicly available datasets will be presented. Conclusions: This study of somatic driver gene alterations in a consecutive series of luminal breast tumors from AA patients found a higher than expected frequency of alterations in genes associated with endocrine resistance in untreated primary tumors, suggesting a partial explanation for racial disparities in survival.[Table: see text]
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Affiliation(s)
- Yael Simons
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
| | - Mohamed Hassan
- University of Illinois at Chicago College of Medicine, Division of Pathology, Chicago, IL
| | - George Chlipala
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
| | - Oana Cristina Danciu
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
| | - Vijayakrishna K. Gadi
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
| | - Manmeet Singh
- University of Illinois at Chicago College of Medicine, Division of Pathology, Chicago, IL
| | - Gayatry Mohapatra
- University of Illinois at Chicago College of Medicine, Division of Pathology, Chicago, IL
| | - Kent Hoskins
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
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Ma X, Gao Y, Mohapatra G, Coleman L, Simons Y, Truica CI, Blaes AH, Rana J, Tandra P, Green L, Liu LC, Yu M, Toppmeyer D, O'Regan R, Wisinski KB, Danciu OC, Hoskins K. Deep proteomic analysis of plasma exosomes in patients with advanced, hormone receptor-positive breast cancer treated with palbociclib and tamoxifen. J Clin Oncol 2021. [DOI: 10.1200/jco.2021.39.15_suppl.1030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
1030 Background: Combining a CDK4/6 inhibitor (CDK4/6i) with endocrine therapy (ET) in advanced, hormone receptor (HR)-positive, HER2-negative breast cancer (BC) doubles median progression-free survival, but eventually drug resistance and disease progression occur. For most patients, the mechanism of resistance is unknown. Exosomes are membrane-bound extracellular vesicles that contain lipids, proteins, and nucleic acids, and are released from tumors as a form of intercellular communication. Exosomes can be recovered from plasma, and analysis of their cargo provides a dynamic read-out of biological pathways that are activated in cancer cells. Proteomic analysis of plasma exosomes may provide insight into mechanisms of resistance that emerge during treatment with CDK4/6i-ET. Methods: The Big Ten Cancer Research Consortium conducted a single arm, phase II trial of palbociclib plus tamoxifen as first line therapy for advanced, HR+/HER2- BC (NCT02668666). Whole blood was collected in Streck tubes from study participants (n = 49) at baseline, at disease progression, and at time points during study treatment. Plasma was separated and stored at -80C within 48 hours of collection. Exosomes were isolated from thawed plasma using commercially available kits and ultracentrifugation. Exosome extraction and purification was optimized for protein recovery. Purified exosomes were processed for proteomic analysis and labeled with TMT10 (tandem mass tag 10plex) and quantified with the QExactive HF mass spectrometer. Ultrasensitive mass spectrometry provided deep proteomic coverage of exosomal proteins and detected various post-translational modifications (PTM). Data were analyzed with a pipeline developed in our lab using an improved SEQUEST/ProLuCID database search engine and Percolator data filtering toolchain. Exosome protein expression was determined at baseline, at best response and at the time of progression. Results: With our ultrasensitive proteomic method, we detected more than 500 exosome proteins from as little as 100 ng of purified exosomes. A significant enrichment of exosome specific markers was observed when comparing patient samples with healthy donor samples. Enrichment of surface glycoproteins (e.g. CD44) was seen in BC patient samples, as in previous reports. Ultrasensitive proteomics also detected PTM including phosphorylation, methylation, oxidation, deamidation, and glycosylation. Differential proteomic and PTM profiles comparing samples collected from responding patients at baseline vs. at progression will be presented. Conclusions: Our innovative method provided an unparalleled portrait of the proteomic landscape of plasma exosomes during treatment with CDK4/6i-ET. This powerful approach may provide novel insights into mechanisms of resistance that emerge during treatment. This study was funded by Pfizer. Clinical trial information: NCT02668666 .
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Affiliation(s)
- Xiuyuan Ma
- University of Illinois at Chicago, Chicago, IL
| | - Yu Gao
- University of Illinois at Chicago, CHICAGO, IL
| | - Gayatry Mohapatra
- University of Illinois at Chicago College of Medicine, Division of Pathology, Chicago, IL
| | | | - Yael Simons
- University of Illinois at Chicago, Chicago, IL
| | | | | | - Jatin Rana
- William Beaumont Hospital, Royal Oak, MI
| | | | | | - Li C Liu
- University of Illinois at Chicago School of Public Health, Chicago, IL
| | - Menggang Yu
- University of Wisconsin - Madison Biostatistics and Medical Informatics, Madison, WI
| | | | - Ruth O'Regan
- University of Wisconsin Carbone Cancer Center, Madison, WI
| | | | - Oana Cristina Danciu
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
| | - Kent Hoskins
- University of Illinois at Chicago College of Medicine, Division of Medical Oncology, Chicago, IL
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Dachet F, Brown JB, Valyi-Nagy T, Narayan KD, Serafini A, Boley N, Gingeras TR, Celniker SE, Mohapatra G, Loeb JA. Selective time-dependent changes in activity and cell-specific gene expression in human postmortem brain. Sci Rep 2021; 11:6078. [PMID: 33758256 PMCID: PMC7988150 DOI: 10.1038/s41598-021-85801-6] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 02/24/2021] [Indexed: 12/15/2022] Open
Abstract
As a means to understand human neuropsychiatric disorders from human brain samples, we compared the transcription patterns and histological features of postmortem brain to fresh human neocortex isolated immediately following surgical removal. Compared to a number of neuropsychiatric disease-associated postmortem transcriptomes, the fresh human brain transcriptome had an entirely unique transcriptional pattern. To understand this difference, we measured genome-wide transcription as a function of time after fresh tissue removal to mimic the postmortem interval. Within a few hours, a selective reduction in the number of neuronal activity-dependent transcripts occurred with relative preservation of housekeeping genes commonly used as a reference for RNA normalization. Gene clustering indicated a rapid reduction in neuronal gene expression with a reciprocal time-dependent increase in astroglial and microglial gene expression that continued to increase for at least 24 h after tissue resection. Predicted transcriptional changes were confirmed histologically on the same tissue demonstrating that while neurons were degenerating, glial cells underwent an outgrowth of their processes. The rapid loss of neuronal genes and reciprocal expression of glial genes highlights highly dynamic transcriptional and cellular changes that occur during the postmortem interval. Understanding these time-dependent changes in gene expression in post mortem brain samples is critical for the interpretation of research studies on human brain disorders.
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Affiliation(s)
- Fabien Dachet
- University of Illinois at Chicago, Chicago, IL, 60612, USA.
| | - James B Brown
- Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA
| | | | | | - Anna Serafini
- University of Illinois at Chicago, Chicago, IL, 60612, USA
| | - Nathan Boley
- University of California, Berkeley, CA, 94720, USA
| | | | | | | | - Jeffrey A Loeb
- University of Illinois at Chicago, Chicago, IL, 60612, USA.
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Singh A, Simons Y, Biren-Fetz J, Mohapatra G, Ni H, Gaitonde S, Khan I. Extended treatment response to imatinib in Rosai-Dorfman disease. Eur J Haematol 2021; 106:868-870. [PMID: 33619765 DOI: 10.1111/ejh.13605] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 11/30/2022]
Affiliation(s)
- Avani Singh
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Yael Simons
- Division of Hematology and Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - John Biren-Fetz
- Department of Radiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Gayatry Mohapatra
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | - Hongyu Ni
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | - Sujata Gaitonde
- Department of Pathology, University of Illinois at Chicago, Chicago, IL, USA
| | - Irum Khan
- Division of Hematology and Oncology, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
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Kelly Nicholas M, Valyi-Nagy T, Coleman L, Slavin K, Kpshy M, Michals E, Arzbaecher J, Miller C, Mohapatra G. PATH-42. COMBINED NEXT GENERATION SEQUENCING AND IMMUNOHISTOCHEMISTRY IN THE DIFFERENTIAL DIAGNOSIS OF A PROGRESSIVE NEURONAL-GLIAL TUMOR: A COMPOSITE NEOPLASM. Neuro Oncol 2020. [DOI: 10.1093/neuonc/noaa215.722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
BACKGROUND
Neuronal-Glial tumors (NGT) are rare neoplasms typically benign, and characterized by various admixtures of neuronal and glial components. Occasionally these tumors transform to higher grades and rarely develop other histologic features inconsistent with a neuroepithelial origin, raising the question of histogenesis. We present a case of World Health Organization (WHO) grade I ganglioglioma (GG) diagnosed in a 28 year old man whose tumor, over a period of 8 years, progressed to anaplastic ganglioglioma (AGG, WHO grade III) and ultimately AGG with high grade sarcomatoid features. The sarcomatoid component eventually outgrew the NGT components, resulting in the patient’s death. We used next generation sequencing (NGS) and immunohistochemistry to characterize the genetic changes associated with these events.
METHODS
Tissues representing NGT and sarcomatoid components were macrodissected from 6 samples representing the tumor during its evolution from low to higher grades. DNA and RNA were extracted from these samples and NGS performed using the Oncomine Comprehensive Panel. Whole exome sequencing was performed using DNA from the 6 tumor samples and adjacent non-neoplastic tissue.
RESULTS
The original tumor, WHO grade I ganglioglioma had a BRAF V600E mutation. Seven years later, the AGG component had the BRAF V600E, absent in the sarcomatoid component, which had a CDKN2A homozygous deletion. The following year, the sarcomatoid component appeared to predominate and had an additional PIK3CA activating mutation. The NGT component retained the original BRAF mutation but no others. Hierarchical clustering of genome-wide variants identified two distinct cell populations emerging over time: GG progressing to AGG and sarcomatoid tumor.
CONCLUSIONS
Based on these results, we propose two distinct tumor cell populations: GG/AGG and sarcomatoid component, evolving over time and resulting in what is commonly considered a collision tumor, two independent tumors adjacent to each other.
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Affiliation(s)
- M Kelly Nicholas
- University of Illinois College of Medicine at Chicago, Chicago, IL, USA
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Acosta AM, Vormittag E, Al Rasheed MRH, Sharif A, Mon KS, Kajdacsy-Balla A, Mohapatra G. Comparison of prostatic adenocarcinoma Gleason 5 and intraductal carcinoma of the prostate with tumor necrosis. A morphometric study. Pathol Res Pract 2018; 214:1681-1685. [DOI: 10.1016/j.prp.2018.08.030] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/25/2018] [Revised: 08/27/2018] [Accepted: 08/28/2018] [Indexed: 11/16/2022]
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Acosta AM, Rasheed MRHA, Panchal D, Rogozinska M, Behm FG, Mohapatra G. Abstract 1617: Utility of a solid-tumor NGS panel in the differential diagnosis of composite neoplasms with divergent phenotypes. Cancer Res 2018. [DOI: 10.1158/1538-7445.am2018-1617] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Introduction: Composite neoplasms (CN) are rare, diagnostically challenging lesions that require differentiating between three possibilities: clonal tumors with divergent phenotypes (mixed tumors, MT), collision of two synchronous adjacent tumors (CT) and tumor-to-tumor metastasis (TTM). To make this distinction, pathologists have relied on morphology, immunohistochemistry and limited molecular techniques such as single-gene sequencing. In this study, we performed next-generation sequencing (NGS) on 4 CN to illustrate the diagnostic utility of NGS-based approach in these rare tumors.
Materials and Methods: Of the 4 CN included in the study, 2 had been diagnosed as MT containing phenotypically different cell populations (mixed adenoneuroendocrine carcinoma of the gallbladder and metastatic papillary thyroid carcinoma with squamous dedifferentiation), while the remaining 2 had been interpreted as TTM (esophageal adenocarcinoma to lung adenocarcinoma and small cell carcinoma of the lung to meningeal melanoma). Pathology diagnoses were made using clinical, histologic and immunophenotypic information. Manual dissection of the tumor components was performed on formalin-fixed, paraffin-embedded tissue sections for extraction of DNA and RNA. NGS was performed using the Oncomine Comprehensive Panel on Ion S5XL sequencer. Ion Reporter variant caller pipeline was used for data analysis.
Results: Sequencing results confirmed the histopathologic diagnosis in all cases (Table 1). Importantly, comparison of our results with data from TCGA studies allowed a meaningful interpretation of the genetic aberrations found, and shed light on the biology of these lesions.
Table 1 – Integration of immunophenotypic and massively parallel sequencing data from 4 composite neoplasmsNDiagnosisComponentsIHCGeneType of aberrationVariant effect (AA change)InterpretationCN1Mixed adenoneuroendocrine carcinomaAdenocarcinomaCK20 -/p53 -/p63 -/CK7 +/ CDX2 +ERBB2CNV–Amplification8.57CCNE1CNV–Amplification16.7Large cell neuroendocrine carcinomaCK20 -/p53 -/p63 -/CK7 +/ CDX2 +/Chromo +/Synapto +CCND1CNV–Amplification4.63ATMCNV–Deletion0.39TP53CNV–Deletion0.56CCNE1CNV–Amplification402Metastatic papillary thyroid carcinoma with squamous dedifferentiationPapillary thyroid carcinomaCK 5/6 -/p40 -/PAX8 +/TTF1 +/TG +BRAFMutation (c.1799T>A)Missense (p.Val600Glu)Deleterious (GOF)–Squamous cell carcinomaCK5/6 +/p40 +/PAX8 +/TTF1 -/TG -BRAFMutation (c.1799T>A)Missense (p.Val600Glu)Deleterious (GOF)–PIK3CAMutation (c.1633G>A)Missense (p.Glu545Lys)Deleterious (GOF)–3Esophageal adenocarcinoma metastatic to lung adenocarcinomaLow grade adenocarcinoma (lung)TTF1 +/HER2 -CDKN2ACNV–Deletion0.76CDKN2AMutation (c.170C>T)Missense (p.Ala57Val)Deleterious (LOF)–KRASMutation (c.35G>T)Missense (p.Gly12Val)Deleterious (GOF)–STK11Mutation (c.580G>T)Missense (p.Asp194Tyr)Deleterious (LOF)–High grade adenocarcinoma (lung)TTF1 -/HER2 +CDKN2AMutation (c.170C>T)Missense (p.Ala57Val)Deleterious (LOF)–KRASMutation (c.35G>T)Missense (p.Gly12Val)Deleterious (GOF)–STK11Mutation (c.580G>T)Missense (p.Asp194Tyr)Deleterious (LOF)–High grade adenocarcinoma (esophagus)–CDKN2AMutation (c.170C>T)Missense (p.Ala57Val)Deleterious (LOF)–KRASCNV–Amplification22.01TP53Mutation (c.614A>G)Missense (p.Tyr205Cys)Deleterious (LOF)–4Small cell carcinoma of the lung combined metastatic to meningeal melanomaSmall cell carcinomaTTF1 +/Synapto +/Chromo +/AE1+3 +/CAM 5.2 +/MelanA -/HMB 45 -RB1Mutation (c.1183C>T)NonsenseDeleterious (LOF)GAS6CNV–Amplification6.14TP53Mutation (c.473G>T)Missense (p.Arg158Leu)Deleterious (LOF)MelanomaTTF1 -/Synapto -/Chromo -/AE1+3 -/CAM 5.2 -/Melan-A +/Pan-M +/MITF +NRASMutation (c.35G>A)Missense (p.Gly12Asp)Deleterious (GOF)TERTCNV–Amplification21.34
Conclusion: This study illustrates the diagnostic utility of NGS in tumors with more than a single histologic component. Additionally, it demonstrates a potential role for NGS in the detection of clinically actionable targets in a group of neoplasms that lack standardized treatment.
Citation Format: Andres M. Acosta, Mohamed Rizwan H. Al Rasheed, Dipti Panchal, Magdalena Rogozinska, Frederick G. Behm, Gayatry Mohapatra. Utility of a solid-tumor NGS panel in the differential diagnosis of composite neoplasms with divergent phenotypes [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 1617.
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Acosta AM, Al Rasheed MRH, Rauscher GH, Vormittag E, Mon KS, Sharif A, Kajdacsy-Balla A, Mohapatra G. Tumor necrosis in radical prostatectomies with high-grade prostate cancer is associated with multiple poor prognostic features and a high prevalence of residual disease. Hum Pathol 2017; 75:1-9. [PMID: 29180249 DOI: 10.1016/j.humpath.2017.11.015] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2017] [Revised: 10/24/2017] [Accepted: 11/14/2017] [Indexed: 10/18/2022]
Abstract
The Gleason grading system and the recently defined Grade Groups are strong, well-established predictors of outcome in prostate cancer. Each Gleason score, however, is the result of a sum of categories (Gleason patterns or GPs) that are intrinsically heterogeneous, as each individual pattern encompasses several tumor morphologies. Although the prognostic value of specific morphologic components of GP4 has recently been demonstrated, the significance of the different patterns of GP5 is largely unknown. We reviewed 344 consecutive prostatectomies performed at the Hospital of the University of Illinois at Chicago between 2011 and 2016 and selected 56 cases with primary or secondary GP5 with archival material available for review. Subsequently, we sorted the cases according to the presence or absence of tumor necrosis in invasive adenocarcinoma GP5-designated G5 (+N) and G5 (-N), respectively-for comparison of histopathologic and clinical characteristics. The GP5 (+N) group demonstrated higher prevalence of biochemical recurrence (P=.0006) and seminal vesicle invasion (P=.02), with a trend toward a higher frequency of lymph node metastases (P=.07) and multifocal surgical margin involvement (P=.09). Also, G5 (+N) patients showed higher preoperative prostate-specific antigen values (P=.005) and a larger percentage of submitted tissue involved by tumor (P<.0001). Our results show that GP5 with tumor necrosis is associated with poor prognostic histopathologic features and high rates of residual disease after prostatectomy.
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Affiliation(s)
- Andres M Acosta
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612.
| | | | - Garth H Rauscher
- Department of Epidemiology, School of Public Health, University of Illinois at Chicago, Chicago, IL 60612
| | - Erica Vormittag
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612
| | - Khin Su Mon
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612
| | - Asma Sharif
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612
| | | | - Gayatry Mohapatra
- Department of Pathology, University of Illinois at Chicago, Chicago, IL 60612.
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Gaertner Z, Lu Y, Kim J, Mohapatra G, Mehta A, Lakka S, Engelhard H. Abstract 5430: GAPDH loss in a tumorigenic human glioblastoma cell line. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-5430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Background: Glyceraldehyde 3-phosphate dehydrogenase (GAPDH) is a ubiquitous, multifunctional 37 kDa enzyme best known for catalyzing the sixth step in glycolysis. GAPDH expression is so consistent that it has been granted “housekeeping” status, and is used as a standard (along with β-actin) for normalizing Western blots. While increased GAPDH expression has been described in hypoxia, diabetes, and some cancers, decreased expression is rare. Here we describe a new human glioblastoma cell line that exhibits GAPDH loss, while maintaining a high degree of malignancy.
Methods: Primary cultures of human glioblastoma cells were initiated and maintained in DMEM with 10% FBS. This particular cell line (designated E297) grew readily, and was passaged more than 40 times. E297 cells were confirmed to be negative for HIV, HTLV, hepatitis B and C, CMV, and mycoplasma contamination. Cells in exponential growth were stained for routine markers, and studied by DNA flow cytometry. GAPDH expression was studied by Western blot analysis using polyclonal rabbit anti-human GAPDH IgG (Abcam, Rosemont, IL), with HeLa, U138, U87 and U251 cells (as well as β-actin staining) as positive controls. For intracranial implantation into Wistar-Furth rats (male, 10-11 weeks), cells were suspended at 20 x 106 cells/ml. Using aseptic technique, rats were anesthetized, and placed into a stereotactic frame. A burr hole was drilled 3 mm right of the bregma and 25 µl of suspension injected (5 mm depth) over 10 min. by Hamilton syringe. Rats were studied by MRI and euthanized when symptomatic.
Results: E297 cells have glial/epithelioid morphology, with a doubling time of 24 + 2 hours in logarithmic growth phase, with a single DNA subpopulation with 28% S phase. They stain positively for GFAP, vimentin, bFGF, c-myc and p53, but fail to express GAPDH. 10/10 animals implanted intracerebrally developed tumors, becoming symptomatic and requiring sacrifice at 25 days (mean). Loss of GAPDH expression was confirmed by Western blot analysis.
Conclusions: The E297 human glioblastoma cell line is highly aggressive and proliferates rapidly. It is tumorigenic in nonimmunosuppressed rats but lacks GAPDH protein. We conclude that GAPDH expression is not essential for glioblastoma cell proliferation under routine culture conditions, and care needs to be taken when using GAPDH as a normalization standard for Western blots of cancer cells.
Citation Format: Zachary Gaertner, Yi Lu, Jinsuh Kim, Gayatry Mohapatra, Ankit Mehta, Sanjani Lakka, Herbert Engelhard. GAPDH loss in a tumorigenic human glioblastoma cell line [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 5430. doi:10.1158/1538-7445.AM2017-5430
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Affiliation(s)
| | - Yi Lu
- Univ. of Illinois at Chicago, Chicago, IL
| | - Jinsuh Kim
- Univ. of Illinois at Chicago, Chicago, IL
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Amidei C, Nicholas M, Sica R, Kim S, Arzbaecher J, Mohapatra G. RARE-42. LEPTOMENINGEAL DISSEMINATION IN MALIGNANT GLIOMA: A CASE SERIES. Neuro Oncol 2016. [DOI: 10.1093/neuonc/now212.704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Tsang TY, Mohapatra G, Itamochi H, Mok SC, Birrer MJ. Abstract 1102: Integrated genomic analysis of clear-cell ovarian cancer identifies PRKCI as a therapeutic target. Cancer Res 2015. [DOI: 10.1158/1538-7445.am2015-1102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Clear-cell ovarian cancer (CCOC) is the third most common subtype of ovarian cancer. CCOC is more resistant to standard chemotherapy and has a poorer prognosis than serous and endometrioid histotypes. Through a comprehensive genomic approach, genes that are responsible for the aggressive behavior of CCOC were identified and their mechanism explored.
Genome-wide DNA copy number alterations were measured in 13 CCOC cell lines using high-resolution oligonucleotide array comparative genomic hybridization (Agilent 105k Human Genome CGH Microarray). Genomic identification of significant targets in cancer (GISTIC) analysis identified 16 amplicons containing 391 genes. Integrating whole genome expression data from human CCOC tumor specimens and normal ovarian surface epithelium specimen revealed 45 amplified genes showed mRNA overexpression in CCOC tumor specimens. Among the 45 genes, protein kinase C iota (PRKCI) was amplified in 9/13 CCOC cell lines and was overexpressed (6.7 fold) in CCOC tumor specimens. Cell proliferation, migration/invasion and tumorigenicity were suppressed by knockdown of PRKCI in PRKCI-overexpressing cells (KOC-7c and OVISE) and were enhanced by overexpression of PRKCI in cells with low endogenous levels of PRKCI (ES2 and TOV21G). Targeted inhibition of PRKCI with sodium aurothiomalate (ATM) suppressed cell growth, cell migration/invasion and tumorigenicity in CCOC cells. Western blot analysis revealed that PRKCI oncogenic function was mediated through MEK/ERK and PI3K/Akt signaling pathways. Thus, PKRCI can be considered as a potential novel CCOC-specific target; not only it inhibits malignant behavior of CCOC cells, but also induces the two major molecular pathways regulating cisplatin resistance. The results from the present study indicate that our comprehensive genomic analysis of CCOC allows identification of therapeutic targets responsible for the aggressive behavior specific of this ovarian cancer histotype and thus improve its therapeutic outcome.
Citation Format: Tsun Yee Tsang, Gayatry Mohapatra, Hiroaki Itamochi, Samuel C. Mok, Michael J. Birrer. Integrated genomic analysis of clear-cell ovarian cancer identifies PRKCI as a therapeutic target. [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 1102. doi:10.1158/1538-7445.AM2015-1102
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Affiliation(s)
| | | | | | - Samuel C. Mok
- 3The University of Texas M. D. Anderson Cancer Center, Houston, TX
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Mohapatra G, He L, Guo L, Vathipadiekal V, Sergent P, Growdon W, Rueda B, Engler D, Orsulic S, Birrer M. Abstract 1534: Identification of LMX1B as a novel oncogene in human ovarian cancer. Cancer Res 2014. [DOI: 10.1158/1538-7445.am2014-1534] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Ovarian cancers are thought to result from the accumulation of multiple genetic aberrations that transform ovarian and/or fallopian tube surface epithelial cells, allowing for their abnormal growth, proliferation and metastasis. We carried out genome-wide copy-number analysis using array comparative genomic hybridization on a panel of mouse ovarian cancer (OVCA) cell lines previously established in our laboratory. We identified a recurrent focal amplification on mouse chromosomal region 2qB, which contains the LIM homeodomain containing transcription factor 1B (Lmx1b) gene. LMX1B is not expressed in normal human ovary, but is expressed in many human OVCA cell lines and primary tumors. High expression of LMX1B correlates with poor outcome. To clarify the role of LMX1B in ovarian carcinogenesis, we transduced LMX1B into a panel of mouse and human OVCA cell lines and demonstrated that LMX1B strongly promotes migration of cancer cells in culture and accelerates xenograft growth in nude mice. Conversely, knockdown of LMX1B in a human cell line with endogenous high expression of LMX1B inhibits cell migration in vitro and tumor growth in vivo. Microarray analysis of cells overexpressing LMX1B identified NF-κB pathway as a potential mediator of tumor progression and subsequent treatment of NF-κB inhibitor decreased the migratory capacity of these cells. Thus, our data demonstrate that LMX1B functions as an oncogene in OVCA pathogenesis.
Citation Format: Gayatry Mohapatra, Lei He, Lankai Guo, Vinod Vathipadiekal, Petra Sergent, Whitfield Growdon, Bo Rueda, David Engler, Sandra Orsulic, Michael Birrer. Identification of LMX1B as a novel oncogene in human ovarian cancer. [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 1534. doi:10.1158/1538-7445.AM2014-1534
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Affiliation(s)
| | - Lei He
- 1Massachusetts General Hospital, Boston, MA
| | - Lankai Guo
- 1Massachusetts General Hospital, Boston, MA
| | | | | | | | - Bo Rueda
- 1Massachusetts General Hospital, Boston, MA
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Hooli BV, Kovacs-Vajna ZM, Mullin K, Blumenthal MA, Mattheisen M, Zhang C, Lange C, Mohapatra G, Bertram L, Tanzi RE. Rare autosomal copy number variations in early-onset familial Alzheimer's disease. Mol Psychiatry 2014; 19:676-81. [PMID: 23752245 DOI: 10.1038/mp.2013.77] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2013] [Revised: 03/19/2013] [Accepted: 04/15/2013] [Indexed: 01/08/2023]
Abstract
Over 200 rare and fully penetrant pathogenic mutations in amyloid precursor protein (APP), presenilin 1 and 2 (PSEN1 and PSEN2) cause a subset of early-onset familial Alzheimer's disease (EO-FAD). Of these, 21 cases of EO-FAD families carrying unique APP locus duplications remain the only pathogenic copy number variations (CNVs) identified to date in Alzheimer's disease (AD). Using high-density DNA microarrays, we performed a comprehensive genome-wide analysis for the presence of rare CNVs in 261 EO-FAD and early/mixed-onset pedigrees. Our analysis revealed 10 novel private CNVs in 10 EO-FAD families overlapping a set of genes that includes: A2BP1, ABAT, CDH2, CRMP1, DMRT1, EPHA5, EPHA6, ERMP1, EVC, EVC2, FLJ35024 and VLDLR. In addition, CNVs encompassing two known frontotemporal dementia genes, CHMP2B and MAPT were found. To our knowledge, this is the first study reporting rare gene-rich CNVs in EO-FAD and early/mixed-onset AD that are likely to underlie pathogenicity in familial AD and perhaps related dementias.
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Affiliation(s)
- B V Hooli
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - Z M Kovacs-Vajna
- Department of Information Engineering, University of Brescia, Brescia, Italy
| | - K Mullin
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - M A Blumenthal
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - M Mattheisen
- Channing Laboratory, Brigham and Women's Hospital, Boston MA, USA
| | - C Zhang
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
| | - C Lange
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - G Mohapatra
- Molecular Pathology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - L Bertram
- Max-Planck Institute for Molecular Genetics, Neuropsychiatric Genetics Group, Berlin, Germany
| | - R E Tanzi
- Department of Neurology, Genetics and Aging Research Unit, MassGeneral Institute for Neurodegenerative Disease, Massachusetts General Hospital, Charlestown, MA, USA
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Tanwar PS, Mohapatra G, Chiang S, Engler DA, Zhang L, Kaneko-Tarui T, Ohguchi Y, Birrer MJ, Teixeira JM. Loss of LKB1 and PTEN tumor suppressor genes in the ovarian surface epithelium induces papillary serous ovarian cancer. Carcinogenesis 2013; 35:546-53. [PMID: 24170201 DOI: 10.1093/carcin/bgt357] [Citation(s) in RCA: 48] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
Epithelial ovarian cancer presents mostly with serous, endometrioid or mucinous histology but is treated as a single disease. The development of histotype-specific therapy has been challenging because of the relative lack of studies attributing disrupted pathways to a distinct histotype differentiation. mTOR activation is frequently associated with poor prognosis in serous ovarian cancer, which is the most common and most deadly histotype. However, the mechanisms dysregulating mTOR in the pathogenesis of ovarian cancer are unknown. We detected copy number loss and correlated lower expression levels of LKB1, TSC1, TSC2 and PTEN tumor suppressor genes for upstream regulators of mTOR activity in up to 80% in primary ovarian serous tumor databases, with LKB1 allelic loss-predominant. Reduced LKB1 protein was usually associated with increased mTOR activity in both serous ovarian cancer cell lines and primary tumors. Conditional deletion of Lkb1 in murine ovarian surface epithelial (OSE) cells caused papillary hyperplasia and shedding but not tumors. Simultaneous deletion of Lkb1 and Pten, however, led to development of high-grade ovarian serous histotype tumors with 100% penetrance that expressed WT1, ERα, PAX8, TP53 and cytokeratin 8, typical markers used in the differential diagnosis of serous ovarian cancer. Neither hysterectomy nor salpingectomy interfered with progression of ovarian tumorigenesis, suggesting that neither uterine nor Fallopian tube epithelial cells were contributing to tumorigenesis. These results implicate LKB1 loss in the OSE in the pathogenesis of serous ovarian cancer and provide a compelling rationale for investigating the therapeutic potential of targeting LKB1 signaling in patients with this deadly disease.
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Affiliation(s)
- Pradeep S Tanwar
- Vincent Center for Reproductive Biology, Department of Obstetrics, Gynecology, and Reproductive Biology
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Wei W, Mok SC, Oliva E, Kim SH, Mohapatra G, Birrer MJ. FGF18 as a prognostic and therapeutic biomarker in ovarian cancer. J Clin Invest 2013; 123:4435-48. [PMID: 24018557 DOI: 10.1172/jci70625] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Accepted: 07/11/2013] [Indexed: 12/13/2022] Open
Abstract
High-throughput genomic technologies have identified biomarkers and potential therapeutic targets for ovarian cancer. Comprehensive functional validation studies of the biological and clinical implications of these biomarkers are needed to advance them toward clinical use. Amplification of chromosomal region 5q31-5q35.3 has been used to predict poor prognosis in patients with advanced stage, high-grade serous ovarian cancer. In this study, we further dissected this large amplicon and identified the overexpression of FGF18 as an independent predictive marker for poor clinical outcome in this patient population. Using cell culture and xenograft models, we show that FGF18 signaling promoted tumor progression by modulating the ovarian tumor aggressiveness and microenvironment. FGF18 controlled migration, invasion, and tumorigenicity of ovarian cancer cells through NF-κB activation, which increased the production of oncogenic cytokines and chemokines. This resulted in a tumor microenvironment characterized by enhanced angiogenesis and augmented tumor-associated macrophage infiltration and M2 polarization. Tumors from ovarian cancer patients had increased FGF18 expression levels with microvessel density and M2 macrophage infiltration, confirming our in vitro results. These findings demonstrate that FGF18 is important for a subset of ovarian cancers and may serve as a therapeutic target.
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Mohapatra G, Kikuchi J, Birrer MJ. Abstract 2997: SOX2 contributes towards invasive phenotype of serous ovarian cancer by up-regulating MMP2. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-2997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
SOX2 encodes a member of the SRY-related HMG-box (SOX) family of transcription factors involved in the regulation of embryonic development and in the determination of cell fate. SOX2 maps to 3q26.33, a region frequently amplified in HGSOvCa as reported in the TCGA and other large array-based CGH studies. However, the role of SOX2 in HGSOvCa oncogenesis and progression has not been studied yet. Given the importance of SOX2 in maintenance of stem cell phenotype and its overexpression in solid tumors, we sought to define the role of SOX2 in HGSOvCa.
In order to establish a direct role for SOX2 in vivo, we conducted DNA copy number analysis and qRT-PCR analysis in two independent panels of primary HGSOvCa and 25 serous OVCA lines. We overexpressed SOX2 in T29, OVCA433, A2780, SKOV3 and OVCAR5 cells and/or knockdown SOX2 in UCI101 and OV90 cells. Ectopic expression of SOX2 resulted in decreased cell proliferation, soft agar colony formation, in vivo tumorigenicity but higher degree of invasion relative to cells with empty vectors. SOX2 overexpression increased MMP2 activity as determined by gelatin zymography. We also performed mRNA profiling to identify SOX2 target genes. SOX2 knockdown cells decreased migration,andinvasion but increased tumorigenicity. Differentially expressed genes in cells overexpressing SOX2 will be presented. Increased SOX2 expression in HGSOvCa appears to produce a more invasive yet quiestant cell. Overexpression of SOX2 may induce a stem-like transcriptional program in HGSOvCa. Thus, identifying SOX2 target genes may offer new insight into the understanding of ovarian cancer biology.
Citation Format: Gayatry Mohapatra, Junko Kikuchi, Michael J. Birrer. SOX2 contributes towards invasive phenotype of serous ovarian cancer by up-regulating MMP2. [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 2997. doi:10.1158/1538-7445.AM2013-2997
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Tsang TY, Mohapatra G, Itamochi H, Mok SC, Birrer MJ. Abstract 799: Global genomic analysis identified PRKCI as a potential therapeutic target gene for human clear cell ovarian cancer. Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Clear cell ovarian cancer (CCOC), a rare epithelial ovarian cancer histotype, is more resistant to standard chemotherapy and has a worse prognosis than serous and endometrioid histotypes. We attempted to identify genes that are responsible for the aggressive behavior of CCOC and could be potential therapeutic targets using genomic and expression profilings. To identify gene amplification, genome-wide DNA copy number alterations were measured in 13 CCOC cell lines using high-resolution oligonucleotide array CGH (Agilent 105k Human Genome CGH Microarray). GISTIC analysis identified 16 amplified regions containing 391 genes. After comparison to our database of differentially expressed genes between human CCOC specimens and normal ovarian surface epithelium specimen (Affymetrix U133 Plus 2.0 microarrays), 45 of the amplified genes showed mRNA overexpression in CCOC specimens. Among the 45 genes, protein kinase C iota (PRKCI) was amplified in 9/13 CCOC cell lines and was overexpressed (6.7 fold) in CCOC specimens. Analysis using PathwayStudio software identified PRKCI mediated pathways for cell migration and invasion. Knock-down of PRKCI by transfection with PRKCI specific siRNAs suppressed cell migration and invasion in KOC-7c and OVISE cells. On the other hand, ectopic expression of PRKCI by transfection with PRKCI expressing vector enhanced cell migration and invasion in ES2 and TOV21G cells. The results from the present study therefore suggested that PRKCI may promote metastasis and serve as a potential target gene for treatment of human clear cell ovarian cancer.
Citation Format: Tsun Yee Tsang, Gayatry Mohapatra, Hiroaki Itamochi, Samuel C. Mok, Michael J. Birrer. Global genomic analysis identified PRKCI as a potential therapeutic target gene for human clear cell ovarian cancer. [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 799. doi:10.1158/1538-7445.AM2013-799
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Affiliation(s)
| | | | | | - Samuel C. Mok
- 3The University of Texas M. D. Anderson Cancer Center, Houston, TX
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Kim SH, Mok SC, Wei W, Vinod V, Mohapatra G, Birrer M. Abstract 3001: Aberrantly up-regulated synaptotagmin-like 2 (SYTL2) promotes tumorigenesis of ovarian cancer cells . Cancer Res 2013. [DOI: 10.1158/1538-7445.am2013-3001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Epithelial ovarian cancer is the fifth leading cause of cancer-related death among woman and has the highest case-fatality rate among gynecologic cancers. Recently, microarray based high-throughput studies have characterized the genomics of epithelial ovarian cancer. These studies have revealed extensive DNA copy number alterations with large areas of gene amplification. There are however little data identifying the genes critical for the clinicopathologic characteristics of this tumor. Here, we describe an analysis of 11q14 amplicon which has been found in 25% of serous ovarian cancers. Among the genes in the 11q14 amplicon we validate an increased DNA copy number of SYTL2 in patient samples and show that this gene has the strongest negative prognostic power. Ectopic overexpression of SYTL2 in ovarian cancer cell lines A2780 and A224 showed increases in cell proliferation, colony formation, migration and invasion in vitro. In nude mice xenograft models, SYTL2 expression in A2780 cells resulted in increased tumor formation. SYTL2 may act through a novel mechanism by enhancing the secretion of Wnt-3a while having minimal effects on its expression. In summary, our data suggest SYTL2 has oncogenic effcst in ovarian cancer and may contribute to the progression of the disease.
Citation Format: Sung-hoon Kim, Samuel C. Mok, Wei Wei, Vathipadiekal Vinod, Gayatry Mohapatra, Michael Birrer. Aberrantly up-regulated synaptotagmin-like 2 (SYTL2) promotes tumorigenesis of ovarian cancer cells . [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 3001. doi:10.1158/1538-7445.AM2013-3001
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Affiliation(s)
| | - Samuel C. Mok
- 2MD Anderson Cancer Center, The University of Texas, Houston, TX
| | - Wei Wei
- 1Massachusetts General Hospital, Boston, MA
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Abstract
Alterations in the copy number of the cancer genome are frequently observed in brain tumors especially gliomas. Some pertinent examples include amplification of the EGFR locus in chromosome 7p and loss of the PTEN locus in 10q in glioblastoma. Meningiomas are often associated with loss of the NF2 locus in 22q. Array CGH or aCGH probes provide a reliable, consistent, and economical method of profiling genome-wide copy number alterations (CNAs) of cancer specimens at fairly robust resolution. This has allowed for the systematic assessment of brain tumors for recurrent genomic CNAs. In addition, recent technical advancements have increased the robustness of this technique to accommodate DNA derived from formalin-fixed paraffin-embedded (FFPE) tissue. Lastly, novel technologies such as next-generation sequencing and multiplex digital gene counting technology such as NanoString will expand the -repertoire of techniques for assessing CNAs in brain tumors.
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Affiliation(s)
- Gayatry Mohapatra
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
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Kozono D, Nitta M, Sampetrean O, Kimberly N, Kushwaha D, Merzon D, Ligon K, Zhu S, Zhu K, Kim TH, Kwon CH, Becher O, Saya H, Chen CC, Donovan LK, Birks SM, Bosak V, Pilkington GJ, Mao P, Li J, Joshi K, Hu B, Cheng S, Sobol RW, Nakano I, Li M, Hale JS, Myers JT, Huang AY, Gladson C, Sloan AA, Rich JN, Lathia JD, Hall PE, Li M, Gallagher J, Hale JS, Wu Q, Venere M, Levy E, Rani MS, Huang P, Bae E, Selfridge J, Cheng L, Guvenc H, McLendon RE, Nakano I, Sloan AE, Phillips H, Lai A, Gladson C, Bredel M, Bao S, Hjelmeland A, Lathia JD, Rich JN, Hale JS, Li M, Sinyuk M, Rich JN, Lathia JD, Lathia JD, Li M, Sathyan P, Hale J, Zinn P, Gallagher J, Wu Q, Carson CT, Naik U, Hjelmeland A, Majumder S, Rich JN, Venere M, Wu Q, Song LA, Vasanji A, Tenley N, Hjelmeland AB, Rich JN, Peruzzi P, Bronisz A, Antonio Chiocca E, Godlewski JA, Guryanova OA, Wu Q, Fang X, Rich JN, Bao S, Christel HMC, Benito C, Zoltan G, Aline B, Tilman S, Josephine B, Carolin M, Thomas S, Violaine G, Unterberg A, Capilla-Gonzalez V, Guerrero-Cazares H, Cebrian-Silla A, Garcia-Verdugo JM, Quinones-Hinojosa A, Man J, Shoemake J, Venere M, Rich J, Yu J, He X, DiMeco F, Vescovi AL, Heth JA, Muraszko KM, Fan X, Nguyen SA, Stechishin OD, Luchman HA, Kelly JJ, Cairncross JG, Weiss S, Kim Y, Kim E, Wu Q, Guryanova OO, Hitomi M, Lathia J, Serwanski D, Sloan AE, Robert J, Lee J, Nishiyama A, Bao S, Hjelmeland AB, Rich JN, Liu JK, Wu Q, Hjelmeland AB, Rich JN, Flavahan WA, Kim Y, Li M, Lathia J, Rich J, Hjelmeland A, Fernandez N, Wu M, Bredel M, Das S, Bazzoli E, Pulvirenti T, Oberstadt MC, Perna F, Boyoung W, Schultz N, Huse JT, Fomchenko EI, Voza F, Tabar V, Brennan CW, DeAngelis LM, Nimer SD, Holland EC, Squatrito M, Chen YH, Gutmann DH, Kim SH, Lee MK, Chwae YJ, Yoo BC, Kim KH, Soeda A, Hara A, Iwama T, Park DM, Golebiewska A, Bougnaud S, Stieber D, Brons NH, Vallar L, Hertel F, Bjerkvig R, Niclou SP, Hamerlik P, Lathia JD, Rasmussen R, Fricova D, Rich JN, Jiri B, Schulte A, Kathagen A, Zapf S, Meissner H, Phillips HS, Westphal M, Lamszus K, Sanzey M, Golebiewska A, Stieber D, Niclou SP, Singh SK, Vartanian A, Gumin J, Sulman EP, Lang FF, Zadeh G, Bayin NS, Dietrich A, Abel T, Chao MV, Song HR, Buchholz CJ, Placantonakis D, Esencay M, Zagzag D, Balyasnikova IV, Prasol MS, Ferguson SD, Ahmed AU, Han Y, Lesniak MS, Barish ME, Brown CE, Herrmann K, Argalian S, Gutova M, Tang Y, Annala A, Moats RA, Ghoda LY, Aboody KS, Hitomi M, Gallagher J, Gadani S, Li M, Adkins J, Vsanji A, Wu Q, Soeda A, McLendon R, Chenn A, Hjelmeland A, Park D, Lathia J, Rich J, Dictus C, Friauf S, Valous NA, Grabe N, Muerle B, Unterberg AW, Herold-Mende CC, Lee HK, Finniss S, Buchris E, Ziv-Av A, Casacu S, Xiang C, Bobbit K, Rempel SA, Mikkelsen T, Slavin S, Brodie C, Kim E, Woo DH, Oh Y, Kim M, Nam DH, Lee J, Li Q, Salas S, Pendleton C, Wijesekera O, Chesler D, Wang J, Smith C, Guerrero-Cazares H, Levchenko A, Quinones-Hinojosa A, LaPlant Q, Pitter K, Bleau AM, Helmy K, Werbeck J, Barrett L, Shimizu F, Benezra R, Tabar V, Holland E, Chu Q, Bar E, Orr B, Eberhart CG, Schmid RS, Bash RE, Werneke AM, White KK, Miller CR, Agasse F, Jhaveri N, Hofman FM, Chen TC, Natsume A, Wakabayashi T, Kondo Y, Woo DH, Kim E, Chang N, Nam DH, Lee J, Moon E, Kanai R, Yip S, Kimura A, Tanaka S, Rheinbay E, Cahill D, Curry W, Mohapatra G, Iafrate J, Chi A, Martuza R, Rabkin S, Wakimoto H, Cusulin C, Luchman HA, Weiss S, Gutova M, Frank JA, Annala AJ, Barish ME, Moats RA, Aboody KS. LAB-STEM CELLS. Neuro Oncol 2012. [DOI: 10.1093/neuonc/nos239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Engler D, Gupta S, Growdan W, Drapkin R, Nitta M, Sergent P, Allred S, Gross J, Deavers M, Kuo WL, Karlan B, Rueda B, Orsulic S, Gershenson D, Birrer M, Gray J, Mohapatra G. Abstract 5093: Genome wide DNA copy number analysis of serous type ovarian carcinomas identifies genetic markers predictive of clinical outcome. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-5093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Ovarian cancer is the fifth leading cause of cancer death in women. Ovarian cancers display a high degree of complex genetic alterations involving many oncogenes and tumor suppressor genes. Analysis of the association between genetic alterations and clinical endpoints such as survival will lead to improved patient management via genetic stratification of patients into clinically relevant subgroups. In this study, we aim to define subgroups of high-grade serous ovarian carcinomas that differ with respect to prognosis and overall survival. Genome-wide DNA copy number alterations (CNAs) were measured in 72 clinically annotated, high-grade serous tumors using high-resolution oligonucleotide arrays. Two clinically annotated, independent cohorts were used as validation sets. Unsupervised hierarchical clustering of copy number data resulted in two clusters with significant difference in progression free survival (PFS) and marginal difference in overall survival (OS). GISTIC analysis of the two clusters identified altered regions unique to each cluster. Supervised clustering of two independent large cohorts of high-grade serous tumors using the classification scheme derived from the two initial clusters validated our results and identified 8 genomic regions that are distinctly different among the subgroups. These 8 regions map to 8p21.3, 8p23.2, 12p12.1, 17p11.2, 17p12, 19q12, 20q11.21 and 20q13.12; and harbor potential oncogenes and tumor suppressor genes that are likely to be involved in the pathogenesis of ovarian carcinoma. We have identified a set of genetic alterations that could be used for stratification of high-grade serous tumors into clinically relevant treatment subgroups.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 5093. doi:1538-7445.AM2012-5093
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Affiliation(s)
| | - Sumeet Gupta
- 2Whitehead Institute of Biomedical Research, Cambridge, MA
| | | | | | - Mai Nitta
- 3Massachusetts General Hospital, Boston, MA
| | | | | | - Jenny Gross
- 5Cedars Sinai Medical Center, Los Angeles, CA
| | | | - Wen-Lin Kuo
- 7Lawrence Berkeley National Laboratory, Berkeley, CA
| | - Beth Karlan
- 5Cedars Sinai Medical Center, Los Angeles, CA
| | - Bo Rueda
- 3Massachusetts General Hospital, Boston, MA
| | | | | | | | - Joe Gray
- 7Lawrence Berkeley National Laboratory, Berkeley, CA
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Wei W, Mohapatra G, Birrer MJ. Abstract 1072: The FGF18/FGFR4 amplicon: Novel therapeutic biomarkers for ovarian cancer. Cancer Res 2012. [DOI: 10.1158/1538-7445.am2012-1072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Epithelial ovarian cancer is the fifth leading cause of cancer-related death among women and has the highest case-fatality rate among gynecologic cancers. High throughput genomic technologies have been instrumental in identifying new biomarkers and potential novel therapeutic targets for ovarian cancer. However, comprehensive functional validation studies on both the biological and clinical levels are needed to better understand the mechanistic basis for these biomarkers and realize their clinical significance and application. Fibroblast growth factor 18 (FGF18) has been recently identified as an aberrantly expressed gene within an expression signature predicting poor rate of survival in patients with advanced stage serous ovarian cancers. In addition, genomic amplification of both FGF18 and FGFR4 has been shown to predict for poor overall survival among women with advanced stage high grade serous ovarian cancers. siRNA mediated knock-down of FGFR4 abolishes FGF18 induced phosphorylation of FRS2 and ERK1/2 in ovarian cancer cells, indicating the FGF18 signaling is at least partially conferred by FGFR4 in ovarian cancer cells. However, the exact role of FGF18/FGFR4 in the clinicopathologic properties of ovarian cancer has not been determined. Preliminary studies by ectopic FGF18 overexpression or recombinant FGF18 treatment demonstrate that FGF18 promotes the in vitro migration and invasion of both ovarian cancer cells and endothelial cells. In SCID mice xenograft models, FGF18 expression in ovarian cancer cells results in increased tumor formation. Microarray analysis identified up-regulation of a large number of proinflammatory cytokines by FGF18 which may mediate the increases in angiogenesis and infiltration of macrophages seen in FGF18 expressing xenografts. Pathway analysis further demonstrated participation of NF-κB signaling in FGF18 mediated cytokine production. Conversely, knock-down of FGF18 in ovarian cancer cells reduces the in vitro migration; inhibits the production of cytokines and impairs the in vivo tumorigenicity in SCID mice xenograft model. Taken together, FGF18/FGFR4 axis may play an important role in ovarian cancer pathogenesis and may serve as a novel therapeutic target.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 1072. doi:1538-7445.AM2012-1072
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Affiliation(s)
- Wei Wei
- 1Massachusetts General Hospital, Boston, MA
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Hooli BV, Mohapatra G, Mattheisen M, Parrado AR, Roehr JT, Shen Y, Gusella JF, Moir R, Saunders AJ, Lange C, Tanzi RE, Bertram L. Role of common and rare APP DNA sequence variants in Alzheimer disease. Neurology 2012; 78:1250-7. [PMID: 22491860 DOI: 10.1212/wnl.0b013e3182515972] [Citation(s) in RCA: 57] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVES More than 30 different rare mutations, including copy number variants (CNVs), in the amyloid precursor protein gene (APP) cause early-onset familial Alzheimer disease (EOFAD), whereas the contribution of common APP variants to disease risk remains controversial. In this study we systematically assessed the role of both rare and common APP DNA variants in Alzheimer disease (AD) families. METHODS Families with EOFAD genetically linked to the APP region were screened for missense mutations and locus duplications of APP. Further, using genome-wide DNA microarray data, we examined the APP locus for CNVs in a total of 797 additional early- and late-onset AD pedigrees. Finally, 423 single nucleotide polymorphisms (SNPs) in the APP locus, including 2 promoter polymorphisms previously associated with AD risk, were tested in up to 4,200 individuals from multiplex AD families. RESULTS Analyses of 8 21q21-linked families revealed one family carrying a nonsynonymous mutation in exon 17 (Val717Leu) and another family with a partially penetrant 3.5-Mb locus duplication encompassing APP. CNV analysis in the APP locus revealed an additional family carrying a fully penetrant 380-kb duplication, merely spanning APP. Last, contrary to previous reports, association analyses of more than 400 different SNPs in or near APP failed to show significant effects on AD risk. CONCLUSION Our study shows that APP mutations and locus duplications are a very rare cause of EOFAD and that the contribution of common APP variants to AD susceptibility is insignificant. Furthermore, duplications of APP may not be fully penetrant, possibly indicating the existence of hitherto unknown protective genetic factors.
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Affiliation(s)
- B V Hooli
- Genetics and Aging Research Unit, Massachusetts General Hospital, Charlestown, MA, USA
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Jansen M, Mohapatra G, Betensky RA, Keohane C, Louis DN. Gain of chromosome arm 1q in atypical meningioma correlates with shorter progression-free survival. Neuropathol Appl Neurobiol 2012; 38:213-9. [PMID: 21988727 PMCID: PMC3563294 DOI: 10.1111/j.1365-2990.2011.01222.x] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
AIMS Atypical (World Health Organization grade II) meningiomas have moderately high recurrence rates; even for completely resected tumours, approximately one-third will recur. Post-operative radiotherapy may aid local control and improve survival, but carries the risk of side effects. More accurate prediction of recurrence risk is therefore needed for patients with atypical meningioma. Previously, we used high-resolution array comparative genomic hybridization to identify genetic variations in 47 primary atypical meningiomas and found that approximately 60% of tumours show gain of 1q at 1q25.1 and 1q25.3 to 1q32.1 and that 1q gain appeared to correlate with shorter progression-free survival. This study aimed to validate and extend these findings in an independent sample. METHODS Eighty-six completely resected atypical meningiomas (with 25 recurrences) from two neurosurgical centres in Ireland were identified and clinical follow-up was obtained. Utilizing a dual-colour interphase fluorescence in situ hybridization assay, 1q gain was assessed using Bacterial Artificial Chromosome probes directed against 1q25.1 and 1q32.1. RESULTS The results confirm the high prevalence of 1q gain at these loci in atypical meningiomas. We further show that gain at 1q32.1 and age each correlate with progression-free survival in patients who have undergone complete surgical resection of atypical meningiomas. CONCLUSIONS These independent findings suggest that assessment of 1q copy number status can add clinically useful information for the management of patients with atypical meningiomas.
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Affiliation(s)
- M Jansen
- Pathology Service, Harvard Medical School, USA
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Kim S, Vathipadiekal V, Kikuchi J, Mohapatra G, Cho H, Nam E, Kim S, Kim J, Kim Y, Birrer M. Role of synaptotagmin-like 2 (SYTL2) in ovarian cancer progression. Gynecol Oncol 2012. [DOI: 10.1016/j.ygyno.2011.12.337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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Engler DA, Gupta S, Growdon WB, Drapkin RI, Nitta M, Sergent PA, Allred SF, Gross J, Deavers MT, Kuo WL, Karlan BY, Rueda BR, Orsulic S, Gershenson DM, Birrer MJ, Gray JW, Mohapatra G. Genome wide DNA copy number analysis of serous type ovarian carcinomas identifies genetic markers predictive of clinical outcome. PLoS One 2012; 7:e30996. [PMID: 22355333 PMCID: PMC3280266 DOI: 10.1371/journal.pone.0030996] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2011] [Accepted: 12/28/2011] [Indexed: 01/09/2023] Open
Abstract
Ovarian cancer is the fifth leading cause of cancer death in women. Ovarian cancers display a high degree of complex genetic alterations involving many oncogenes and tumor suppressor genes. Analysis of the association between genetic alterations and clinical endpoints such as survival will lead to improved patient management via genetic stratification of patients into clinically relevant subgroups. In this study, we aim to define subgroups of high-grade serous ovarian carcinomas that differ with respect to prognosis and overall survival. Genome-wide DNA copy number alterations (CNAs) were measured in 72 clinically annotated, high-grade serous tumors using high-resolution oligonucleotide arrays. Two clinically annotated, independent cohorts were used for validation. Unsupervised hierarchical clustering of copy number data derived from the 72 patient cohort resulted in two clusters with significant difference in progression free survival (PFS) and a marginal difference in overall survival (OS). GISTIC analysis of the two clusters identified altered regions unique to each cluster. Supervised clustering of two independent large cohorts of high-grade serous tumors using the classification scheme derived from the two initial clusters validated our results and identified 8 genomic regions that are distinctly different among the subgroups. These 8 regions map to 8p21.3, 8p23.2, 12p12.1, 17p11.2, 17p12, 19q12, 20q11.21 and 20q13.12; and harbor potential oncogenes and tumor suppressor genes that are likely to be involved in the pathogenesis of ovarian carcinoma. We have identified a set of genetic alterations that could be used for stratification of high-grade serous tumors into clinically relevant treatment subgroups.
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Affiliation(s)
- David A. Engler
- Department of Statistics, Brigham Young University, Provo, Utah, United States of America
| | - Sumeet Gupta
- Whitehead Institute of Biomedical Research, Cambridge, Massachusetts, United States of America
| | - Whitfield B. Growdon
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Ronny I. Drapkin
- Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, United States of America
| | - Mai Nitta
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Petra A. Sergent
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Serena F. Allred
- Department of Statistics, Brigham Young University, Provo, Utah, United States of America
| | - Jenny Gross
- Women's Cancer Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Michael T. Deavers
- Department of Pathology and Gynecology Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Wen-Lin Kuo
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Beth Y. Karlan
- Women's Cancer Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - Bo R. Rueda
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Sandra Orsulic
- Women's Cancer Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - David M. Gershenson
- Department of Pathology and Gynecology Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America
| | - Michael J. Birrer
- Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Joe W. Gray
- Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
| | - Gayatry Mohapatra
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- * E-mail:
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McCann CK, Growdon WB, Kulkarni-Datar K, Curley MD, Friel AM, Proctor JL, Sheikh H, Deyneko I, Ferguson JA, Vathipadiekal V, Birrer MJ, Borger DR, Mohapatra G, Zukerberg LR, Foster R, MacDougall JR, Rueda BR. Inhibition of Hedgehog signaling antagonizes serous ovarian cancer growth in a primary xenograft model. PLoS One 2011; 6:e28077. [PMID: 22140510 PMCID: PMC3226669 DOI: 10.1371/journal.pone.0028077] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2011] [Accepted: 10/31/2011] [Indexed: 12/21/2022] Open
Abstract
Background Recent evidence links aberrant activation of Hedgehog (Hh) signaling with the pathogenesis of several cancers including medulloblastoma, basal cell, small cell lung, pancreatic, prostate and ovarian. This investigation was designed to determine if inhibition of this pathway could inhibit serous ovarian cancer growth. Methodology We utilized an in vivo pre-clinical model of serous ovarian cancer to characterize the anti-tumor activity of Hh pathway inhibitors cyclopamine and a clinically applicable derivative, IPI-926. Primary human serous ovarian tumor tissue was used to generate tumor xenografts in mice that were subsequently treated with cyclopamine or IPI-926. Principal Findings Both compounds demonstrated significant anti-tumor activity as single agents. When IPI-926 was used in combination with paclitaxel and carboplatinum (T/C), no synergistic effect was observed, though sustained treatment with IPI-926 after cessation of T/C continued to suppress tumor growth. Hh pathway activity was analyzed by RT-PCR to assess changes in Gli1 transcript levels. A single dose of IPI-926 inhibited mouse stromal Gli1 transcript levels at 24 hours with unchanged human intra-tumor Gli1 levels. Chronic IPI-926 therapy for 21 days, however, inhibited Hh signaling in both mouse stromal and human tumor cells. Expression data from the micro-dissected stroma in human serous ovarian tumors confirmed the presence of Gli1 transcript and a significant association between elevated Gli1 transcript levels and worsened survival. Conclusions/Significance IPI-926 treatment inhibits serous tumor growth suggesting the Hh signaling pathway contributes to the pathogenesis of ovarian cancer and may hold promise as a novel therapeutic target, especially in the maintenance setting.
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MESH Headings
- Animals
- Cell Proliferation/drug effects
- Female
- Gene Expression Regulation, Neoplastic/drug effects
- Hedgehog Proteins/genetics
- Hedgehog Proteins/metabolism
- Humans
- Maintenance Chemotherapy
- Mice
- Neoplasms, Cystic, Mucinous, and Serous/drug therapy
- Neoplasms, Cystic, Mucinous, and Serous/genetics
- Neoplasms, Cystic, Mucinous, and Serous/pathology
- Ovarian Neoplasms/drug therapy
- Ovarian Neoplasms/genetics
- Ovarian Neoplasms/pathology
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Signal Transduction/drug effects
- Stromal Cells/drug effects
- Stromal Cells/metabolism
- Stromal Cells/pathology
- Survival Analysis
- Transcription Factors/genetics
- Transcription Factors/metabolism
- Veratrum Alkaloids/pharmacology
- Veratrum Alkaloids/therapeutic use
- Xenograft Model Antitumor Assays
- Zinc Finger Protein GLI1
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Affiliation(s)
- Christopher K. McCann
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Division of Gynecologic Oncology, Department of Vincent Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Whitfield B. Growdon
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Division of Gynecologic Oncology, Department of Vincent Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Kashmira Kulkarni-Datar
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Michael D. Curley
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Anne M. Friel
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Jennifer L. Proctor
- Infinity Pharmaceuticals, Cambridge, Massachusetts, United States of America
| | - Hana Sheikh
- Infinity Pharmaceuticals, Cambridge, Massachusetts, United States of America
| | - Igor Deyneko
- Infinity Pharmaceuticals, Cambridge, Massachusetts, United States of America
| | - Jeanne A. Ferguson
- Infinity Pharmaceuticals, Cambridge, Massachusetts, United States of America
| | - Vinod Vathipadiekal
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, United States of America
| | - Michael J. Birrer
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, United States of America
| | - Darrell R. Borger
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, United States of America
| | - Gayatry Mohapatra
- Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts, United States of America
| | - Lawrence R. Zukerberg
- Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Rosemary Foster
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - John R. MacDougall
- Infinity Pharmaceuticals, Cambridge, Massachusetts, United States of America
| | - Bo R. Rueda
- Department of Vincent Obstetrics and Gynecology, Vincent Center for Reproductive Biology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Division of Gynecologic Oncology, Department of Vincent Obstetrics and Gynecology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
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Wakimoto H, Mohapatra G, Kanai R, Curry WT, Yip S, Nitta M, Patel AP, Barnard ZR, Stemmer-Rachamimov AO, Louis DN, Martuza RL, Rabkin SD. Maintenance of primary tumor phenotype and genotype in glioblastoma stem cells. Neuro Oncol 2011; 14:132-44. [PMID: 22067563 DOI: 10.1093/neuonc/nor195] [Citation(s) in RCA: 181] [Impact Index Per Article: 13.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
The clinicopathological heterogeneity of glioblastoma (GBM) and the various genetic and phenotypic subtypes in GBM stem cells (GSCs) are well described. However, the relationship between GSCs and the corresponding primary tumor from which they were isolated is poorly understood. We have established GSC-enriched neurosphere cultures from 15 newly diagnosed GBM specimens and examined the relationship between the histopathological and genomic features of GSC-derived orthotopic xenografts and those of the respective patient tumors. GSC-initiated xenografts recapitulate the distinctive cytological hallmarks and diverse histological variants associated with the corresponding patient GBM, including giant cell and gemistocytic GBM, and primitive neuroectodermal tumor (PNET)-like components. This indicates that GSCs generate tumors that preserve patient-specific disease phenotypes. The majority of GSC-derived intracerebral xenografts (11 of 15) demonstrated a highly invasive behavior crossing the midline, whereas the remainder formed discrete nodular and vascular masses. In some cases, GSC invasiveness correlated with preoperative MRI, but not with the status of PI3-kinase/Akt pathways or O(6)-methylguanine methyltransferase expression. Genome-wide screening by array comparative genomic hybridization and fluorescence in situ hybridization revealed that GSCs harbor unique genetic copy number aberrations. GSCs acquiring amplifications of the myc family genes represent only a minority of tumor cells within the original patient tumors. Thus, GSCs are a genetically distinct subpopulation of neoplastic cells within a GBM. These studies highlight the value of GSCs for preclinical modeling of clinically relevant, patient-specific GBM and, thus, pave the way for testing novel anti-GSC/GBM agents for personalized therapy.
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Affiliation(s)
- Hiroaki Wakimoto
- Department of Neurosurgery, Massachusetts General Hospital, Boston, MA 02114, USA.
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Mohapatra G, Engler DA, Starbuck KD, Kim JC, Bernay DC, Scangas GA, Rousseau A, Batchelor TT, Betensky RA, Louis DN. Genome-wide comparison of paired fresh frozen and formalin-fixed paraffin-embedded gliomas by custom BAC and oligonucleotide array comparative genomic hybridization: facilitating analysis of archival gliomas. Acta Neuropathol 2011; 121:529-43. [PMID: 21080181 DOI: 10.1007/s00401-010-0773-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2010] [Revised: 10/20/2010] [Accepted: 10/31/2010] [Indexed: 12/01/2022]
Abstract
Array comparative genomic hybridization (aCGH) is a powerful tool for detecting DNA copy number alterations (CNA). Because diffuse malignant gliomas are often sampled by small biopsies, formalin-fixed paraffin-embedded (FFPE) blocks are often the only tissue available for genetic analysis; FFPE tissues are also needed to study the intratumoral heterogeneity that characterizes these neoplasms. In this paper, we present a combination of evaluations and technical advances that provide strong support for the ready use of oligonucleotide aCGH on FFPE diffuse gliomas. We first compared aCGH using bacterial artificial chromosome (BAC) arrays in 45 paired frozen and FFPE gliomas, and demonstrate a high concordance rate between FFPE and frozen DNA in an individual clone-level analysis of sensitivity and specificity, assuring that under certain array conditions, frozen and FFPE DNA can perform nearly identically. However, because oligonucleotide arrays offer advantages to BAC arrays in genomic coverage and practical availability, we next developed a method of labeling DNA from FFPE tissue that allows efficient hybridization to oligonucleotide arrays. To demonstrate utility in FFPE tissues, we applied this approach to biphasic anaplastic oligoastrocytomas and demonstrate CNA differences between DNA obtained from the two components. Therefore, BAC and oligonucleotide aCGH can be sensitive and specific tools for detecting CNAs in FFPE DNA, and novel labeling techniques enable the routine use of oligonucleotide arrays for FFPE DNA. In combination, these advances should facilitate genome-wide analysis of rare, small and/or histologically heterogeneous gliomas from FFPE tissues.
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Affiliation(s)
- Gayatry Mohapatra
- Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
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35
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Friel AM, Zhang L, Curley MD, Therrien VA, Sergent PA, Belden SE, Borger DR, Mohapatra G, Zukerberg LR, Foster R, Rueda BR. Epigenetic regulation of CD133 and tumorigenicity of CD133 positive and negative endometrial cancer cells. Reprod Biol Endocrinol 2010; 8:147. [PMID: 21122138 PMCID: PMC3027593 DOI: 10.1186/1477-7827-8-147] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2010] [Accepted: 12/01/2010] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Recent data provide significant evidence to support the hypothesis that there are sub-populations of cells within solid tumors that have an increased tumor initiating potential relative to the total tumor population. CD133, a cell surface marker expressed on primitive cells of neural, hematopoietic, endothelial and epithelial lineages has been identified as a marker for tumor initiating cells in solid tumors of the brain, colon, pancreas, ovary and endometrium. Our objectives were to assess the relative level of CD133 expressing cells in primary human endometrial tumors, confirm their tumorigenic potential, and determine whether CD133 expression was epigenetically modified. METHODS We assessed CD133 expression in primary human endometrial tumors by flow cytometry and analyzed the relative tumorigenicity of CD133+ and CD133- cells in an in vivo NOD/SCID mouse model. We assessed potential changes in CD133 expression over the course of serial transplantation by immunofluorescence and flow cytometry. We further examined CD133 promoter methylation and expression in normal endometrium and malignant tumors. RESULTS As determined by flow cytometric analysis, the percentage of CD133+ cells in primary human endometrial cancer samples ranged from 5.7% to 27.4%. In addition, we confirmed the tumor initiating potential of CD133+ and CD133- cell fractions in NOD/SCID mice. Interestingly, the percentage of CD133+ cells in human endometrial tumor xenografts, as evidenced by immunofluorescence, increased with serial transplantation although this trend was not consistently detected by flow cytometry. We also determined that the relative levels of CD133 increased in endometrial cancer cell lines following treatment with 5-aza-2'-deoxycytidine suggesting a role for methylation in the regulation of CD133. To support this finding, we demonstrated that regions of the CD133 promoter were hypomethylated in malignant endometrial tissue relative to benign control endometrial tissue. Lastly, we determined that methylation of the CD133 promoter decreases over serial transplantation of an endometrial tumor xenograft. CONCLUSIONS These findings support the hypotheses that CD133 expression in endometrial cancer may be epigenetically regulated and that cell fractions enriched for CD133+ cells may well contribute to endometrial cancer tumorigenicity, pathology and recurrence.
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Affiliation(s)
- Anne M Friel
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Ling Zhang
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Michael D Curley
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Vanessa A Therrien
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Petra A Sergent
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sarah E Belden
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA
| | - Darrell R Borger
- Division of Hematology-Oncology, Massachusetts General Hospital Cancer Center, Boston, Massachusetts 02114, USA
| | - Gayatry Mohapatra
- Department of Molecular Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Lawrence R Zukerberg
- Department of Molecular Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Rosemary Foster
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA 02115, USA
| | - Bo R Rueda
- Vincent Center for Reproductive Biology, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
- Department of Obstetrics, Gynecology and Reproductive Biology, Harvard Medical School, Boston, MA 02115, USA
- Gynecologic Oncology Division, Vincent Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA 02114, USA
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McDaniel S, Minnier J, Betensky RA, Mohapatra G, Shen Y, Gusella JF, Louis DN, Cai T. Assessing Population Level Genetic Instability via Moving Average. Stat Biosci 2010; 2:120-136. [PMID: 22866169 DOI: 10.1007/s12561-010-9028-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
Abstract
Tumoral tissues tend to generally exhibit aberrations in DNA copy number that are associated with the development and progression of cancer. Genotyping methods such as array-based comparative genomic hybridization (aCGH) provide means to identify copy number variation across the entire genome. To address some of the shortfalls of existing methods of DNA copy number data analysis, including strong model assumptions, lack of accounting for sampling variability of estimators, and the assumption that clones are independent, we propose a simple graphical approach to assess population-level genetic alterations over the entire genome based on moving average. Furthermore, existing methods primarily focus on segmentation and do not examine the association of covariates with genetic instability. In our methods, covariates are incorporated through a possibly mis-specified working model and sampling variabilities of estimators are approximated using a resampling method that is based on perturbing observed processes. Our proposal, which is applicable to partial, entire or multiple chromosomes, is illustrated through application to aCGH studies of two brain tumor types, meningioma and glioma.
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Affiliation(s)
- Samuel McDaniel
- Department of Mathematics, The University of the West Indies, Mona, Jamaica
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Doucette TA, Kong LY, Yang Y, Wei J, Wang J, Fuller GN, Heimberger AB, Rao G, Ajewung N, Kamnasaran D, Katz AM, Amankulor N, Squatrito M, Hambardzumyan D, Holland EC, Poschl J, Lorenz A, Von Bueren A, Li S, Peraud A, Tonn JC, Herms J, Xiang M, Rutkowski S, Kretzschmar H, Schuller U, Studebaker A, Raffel C, Aoki Y, Hashizume R, Ozawa T, Gupta N, James CD, Navis AC, Hamans BC, Claes A, Heerschap A, Wesseling P, Jeuken JW, Leenders WP, Agudelo PA, Williams S, Nowicki MO, Johnson J, Li PK, Chiocca EA, Lannutti JJ, Lawler SE, Viapiano MS, Bergeron J, Aliaga A, Bedell B, Soderquist C, Sonabend A, Lei L, Crisman C, Yun JP, Sisti J, Castelli M, Bruce JN, Canoll P, Kirsch M, Stelling A, Salzer R, Krafft C, Schackert G, Steiner G, Balvers RK, van den Hengel SK, Wakimoto H, Hoeben RC, Leenstra S, Dirven CM, Lamfers ML, Sabha NS, Agnihotri S, Wolf A, von Deimling A, Croul S, Guha A, Trojahn US, Lenferink A, Bedell B, O'Connor-McCourt M, Wakimoto H, Kanai R, Curry WT, Yip S, Barnard ZR, Mohapatra G, Stemmer-Rachamimov AO, Martuza RL, Rabkin SD, Binder ZA, Salmasi V, Lim M, Weingart J, Brem H, Olivi A, Riggins GJ, Gallia GL, Rong Y, Zhang Z, Gang C, Tucker-Burden C, Van Meir E, Brat DJ, Balvers RK, Kloezeman JJ, Kleijn A, French PJ, Dirven CM, Leenstra S, Lamfers ML, Balvers RK, Kloezeman JJ, Spoor JK, Dirven CM, Lamfers ML, Leenstra S, Bazzoli E, Fomchenko EI, Schultz N, Brennan C, DeAngelis LM, Holland EC, Nimer SD, Squatrito M, Mohyeldin A, Hsu W, Shah SR, Adams H, Shah P, Katuri L, Kosztowski T, Loeb DM, Wolinsky JP, Gokaskan ZL, Quinones-Hinojosa A, Daphu IK, Immervoll H, Bjerkvig R, Thorsen F, Caretti V, Idema S, Zondervan I, Meijer DH, Lagerweij T, Barazas M, Vos W, Hamans B, van der Stoop P, Hulleman E, van der Valk P, Bugiani M, Wesseling P, Vandertop WP, Noske D, Kaspers GJ, Molthoff C, Wurdinger T, Chow LM, Endersby R, Zhu X, Rankin S, Qu C, Zhang J, Ellison DW, Baker SJ, Tabar V, LaFaille F, Studer L. Tumor Models (In Vivo/In Vitro). Neuro Oncol 2010. [DOI: 10.1093/neuonc/noq116.s20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
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Rueda BR, Friel AM, Zhang L, Curley MD, Mohapatra G, Sergent PA, Therrien VA, Foster R. Abstract 4302: Human endometrial cancer cell CD133+ cell fractions are regulated by methylation. Cancer Res 2010. [DOI: 10.1158/1538-7445.am10-4302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Like other solid tumors, endometrial tumors have been shown to contain a subset of tumor initiating cells although little is known about how these rare sub-fractions are regulated. Our primary objective was to analyze potential epigenetic regulation of such a tumor initiating cell population in human endometrial cancer cells. To accomplish this, we demonstrated by flow cytometry that primary endometrial tumors contain CD133+ cells. To assess their tumor initiating capacity, serially transplanted endometrial human tumor explants generated in NOD/SCID mice were harvested, enzymatically dissociated, depleted of H-2Kd+ mouse cells and sorted via flow cytometry to generate relatively pure (> 98.8 %) CD133+ and CD133− fractions. These positive and negative fractions were serially diluted and subcutaneously injected into immunocompromised mice. The CD133+ fractions had a significantly increased capacity for tumor formation relative to the CD133− fractions and this difference was more pronounced as the number of injected cells decreased. Interestingly, the level of CD133+ tumor cells appeared to be enriched following serial transplantation as evidenced by flow cytometric and immunohistochemical analyses. It has been proposed that methylation may play a role in regulation of tumor initiating cells. To investigate this possibility in endometrial cancer, we isolated DNA from serially transplanted tumors and analyzed the methylation status of CpG islands located upstream of the CD133 transcription start site. This region was shown to be a target of methylation, which led us to determine whether changing the methylation status would alter CD133 expression in endometrial cancer cells. We treated 4 individual human endometrial cancer cell lines with either vehicle or 5 μM 5-aza-2′-deoxyctidine (5-aza-DC), for 72 hours, and evaluated post-treatment levels of CD133 expression by RT-PCR and flow cytometry. In the tested cell lines, CD133 mRNA levels, as measured by RT-PCR, were increased following treatment with 5-aza-DC suggesting that methylation of the CD133 promoter was suppressing its expression. To extend this finding, we analyzed the percentage of CD133 expressing cells in either vehicle treated or 5-aza-DC by flow cytometry. Consistent with the RT-PCR results, the frequency of CD133-expressing cells was increased in 3 of the 4 cell lines following treatment with 5-aza-DC. It is not clear however, if the 5-aza-DC mediated demethylation and subsequent shift in the percentage of CD133+ cells correlates with a shift in the frequency of cells that have increased tumor initiating capacity. Nevertheless, CD133 expression in human endometrial cancer cells is regulated at least in part by methylation and altering this may cause these tumor cells to become more sensitive to standard chemotherapy regimens.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4302.
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Affiliation(s)
| | | | - Ling Zhang
- 1Massachusetts General Hospital, Boston, MA
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Rothenberg SM, Mohapatra G, Rivera MN, Winokur D, Greninger P, Cohen EE, Louis DN, Settleman J, Haber DA. Abstract 5757: A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers. Cancer Res 2010. [DOI: 10.1158/1538-7445.am10-5757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
In a genome-wide screen of 684 cancer cell lines, we identified homozygous intragenic microdeletions involving genes encoding components of the apical-basal cell polarity complexes. Among these, PARD3 is disrupted in cell lines and primary tumors from squamous carcinomas and glioblastomas. Reconstituting PARD3 expression in both cell types restores tight junctions and retards contactdependent proliferation. Searching specifically for small intragenic microdeletions using high resolution genomic arrays may be complementary to other genomic deletion screens and resequencing efforts in identifying new tumor suppressor genes.
Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 5757.
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Affiliation(s)
| | | | | | - Daniel Winokur
- 1Massachusetts General Hosp. Cancer Ctr., Charlestown, MA
| | | | | | - David N. Louis
- 2Massachusetts General Hosp. Dept. of Pathology, Charlestown, MA
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40
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Rothenberg SM, Mohapatra G, Rivera MN, Winokur D, Greninger P, Nitta M, Sadow PM, Sooriyakumar G, Brannigan BW, Ulman MJ, Perera RM, Wang R, Tam A, Ma XJ, Erlander M, Sgroi DC, Rocco JW, Lingen MW, Cohen EEW, Louis DN, Settleman J, Haber DA. A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers. Cancer Res 2010; 70:2158-64. [PMID: 20215515 DOI: 10.1158/0008-5472.can-09-3458] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In a genome-wide screen of 684 cancer cell lines, we identified homozygous intragenic microdeletions involving genes encoding components of the apical-basal cell polarity complexes. Among these, PARD3 is disrupted in cell lines and primary tumors from squamous carcinomas and glioblastomas. Reconstituting PARD3 expression in both cell types restores tight junctions and retards contact-dependent proliferation. Searching specifically for small intragenic microdeletions using high-resolution genomic arrays may be complementary to other genomic deletion screens and resequencing efforts in identifying new tumor suppressor genes.
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Affiliation(s)
- S Michael Rothenberg
- Massachusetts General Hospital Cancer Center and Center for Molecular Therapeutics, Harvard Medical School, Charlestown, Massachusetts 02129, USA
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Abstract
Array CGH is a high-throughput technique designed to detect genomic alterations linked to the development and progression of cancer. The technique yields fluorescence ratios that characterize DNA copy number change in tumor versus healthy cells. Classification of tumors based on aCGH profiles is of scientific interest but the analysis of these data is complicated by the large number of highly correlated measures. In this article, we develop a supervised Bayesian latent class approach for classification that relies on a hidden Markov model to account for the dependence in the intensity ratios. Supervision means that classification is guided by a clinical endpoint. Posterior inferences are made about class-specific copy number gains and losses. We demonstrate our technique on a study of brain tumors, for which our approach is capable of identifying subsets of tumors with different genomic profiles, and differentiates classes by survival much better than unsupervised methods.
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Affiliation(s)
- Stacia M DeSantis
- Department of Biostatistics, Bioinformatics, and Epidemiology, Medical University of South Carolina, 135 Cannon Street, Suite 303, Charleston, South Carolina 29403, USA.
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42
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Xing D, Scangas G, Nitta M, He L, Xu X, Ioffe YJM, Aspuria PJ, Hedvat CY, Anderson ML, Oliva E, Karlan BY, Mohapatra G, Orsulic S. A role for BRCA1 in uterine leiomyosarcoma. Cancer Res 2009; 69:8231-5. [PMID: 19843854 DOI: 10.1158/0008-5472.can-09-2543] [Citation(s) in RCA: 45] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Uterine leiomyosarcoma (ULMS) is a rare gynecologic malignancy with a low survival rate. Currently, there is no effective treatment for ULMS. Infrequent occurrences of human ULMS hamper the understanding of the initiation and progression of the disease, thereby limiting the ability to develop efficient therapies. To elucidate the roles of the p53 and BRCA1 tumor suppressor genes in gynecologic malignancies, we generated mice in which p53 and/or BRCA1 can be conditionally deleted using anti-Müllerian hormone type II receptor (Amhr2)-driven Cre recombinase. We showed that conditional deletion of p53 in mice results in the development of uterine tumors that resemble human ULMS and that concurrent deletion of p53 and BRCA1 significantly accelerates the progression of these tumors. This finding led to our hypothesis that BRCA1 may play a role in human ULMS development. Consistent with this hypothesis, we showed that the BRCA1 protein is absent in 29% of human ULMS and that BRCA1 promoter methylation is the likely mechanism of BRCA1 downregulation. These data indicate that the loss of BRCA1 function may be an important step in the progression of ULMS. Our findings provide a rationale for investigating therapies that target BRCA1 deficiency in ULMS.
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Affiliation(s)
- Deyin Xing
- Molecular Pathology Unit and Center for Cancer Research, Massachusetts General Hospital, Charlestown, Massachusetts, USA
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Shen Y, Nunes F, Stemmer-Rachamimov A, James M, Mohapatra G, Plotkin S, Betensky RA, Engler DA, Roy J, Ramesh V, Gusella JF. Genomic profiling distinguishes familial multiple and sporadic multiple meningiomas. BMC Med Genomics 2009; 2:42. [PMID: 19589153 PMCID: PMC2716362 DOI: 10.1186/1755-8794-2-42] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2009] [Accepted: 07/09/2009] [Indexed: 11/27/2022] Open
Abstract
Background Meningiomas may occur either as familial tumors in two distinct disorders, familial multiple meningioma and neurofibromatosis 2 (NF2), or sporadically, as either single or multiple tumors in individuals with no family history. Meningiomas in NF2 and approximately 60% of sporadic meningiomas involve inactivation of the NF2 locus, encoding the tumor suppressor merlin on chromosome 22q. This study was undertaken to establish whether genomic profiling could distinguish familial multiple meningiomas from sporadic solitary and sporadic multiple meningiomas. Methods We compared 73 meningiomas presenting as sporadic solitary (64), sporadic multiple (5) and familial multiple (4) tumors using genomic profiling by array comparative genomic hybridization (array CGH). Results Sporadic solitary meningiomas revealed genomic rearrangements consistent with at least two mechanisms of tumor initiation, as unsupervised cluster analysis readily distinguished tumors with chromosome 22 deletion (associated with loss of the NF2 tumor suppressor) from those without chromosome 22 deletion. Whereas sporadic meningiomas without chromosome 22 loss exhibited fewer chromosomal imbalance events overall, tumors with chromosome 22 deletion further clustered into two major groups that largely, though not perfectly, matched with their benign (WHO Grade I) or advanced (WHO Grades II and III) histological grade, with the latter exhibiting a significantly greater degree of genomic imbalance (P < 0.001). Sporadic multiple meningiomas showed a frequency of genomic imbalance events comparable to the atypical grade solitary tumors. By contrast, familial multiple meningiomas displayed no imbalances, supporting a distinct mechanism for the origin for these tumors. Conclusion Genomic profiling can provide an unbiased adjunct to traditional meningioma classification and provides a basis for exploring the different genetic underpinnings of tumor initiation and progression. Most importantly, the striking difference observed between sporadic and familial multiple meningiomas indicates that genomic profiling can provide valuable information for differential diagnosis of subjects with multiple meningiomas and for considering the risk for tumor occurrence in their family members.
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Affiliation(s)
- Yiping Shen
- Molecular Neurogenetics Unit, Center for Human Genetic Research, Massachusetts General Hospital, Boston, MA, 02114, USA.
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Stamoulis C, Betensky RA, Mohapatra G, Louis DN. Application of signal processing techniques for estimating regions of copy number variations in human meningioma DNA. Annu Int Conf IEEE Eng Med Biol Soc 2009; 2009:6973-6976. [PMID: 19964720 PMCID: PMC2796201 DOI: 10.1109/iembs.2009.5333851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
We applied mode-decomposition and matched-filtering, both signal processing techniques used to increase the signal-to-noise ratio (SNR), to array CGH data of human meningioma DNA, in order to extract genomic regions of copy-number changes potentially associated with tumor progression. DNA segments from different chromosomes were decomposed into a small number of dominant components (modes), and low-amplitude modes were eliminated. The SNR of the entire segment was increased and it was possible to identify local changes in the data spatial structure, previously indistinguishable due to noise. We applied matched-filtering to the mode-reduced signals, using a normal DNA sequences (averaged over 50 healthy donors) as the template. The residual signals from this process were analyzed to identify disease-related copy number changes. We were able to identify distinct local changes at different chromosomes in patients with recurrent versus primary meningiomas.
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Affiliation(s)
- Catherine Stamoulis
- Department of Neurology, Harvard Medical School, Beth Israel Deaconess Medical Center, Boston MA 02215
| | - Rebecca A. Betensky
- Department of Biostatistics, Harvard School of Public Health, Boston MA 02115
| | | | - David N. Louis
- Pathology Service, Massachusetts General Hospital, Boston MA 02114
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45
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Kim S, Mohapatra G, Haber DA. In vitro phosphorylation of BRCA2 by the checkpoint kinase CHEK2. Br J Cancer 2008; 99:1302-6. [PMID: 18797466 PMCID: PMC2570522 DOI: 10.1038/sj.bjc.6604644] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Germline mutations in both BRCA2 and CHEK2 are associated with an increased risk for male breast cancer. To search for potential interactions between the products of these breast cancer susceptibility genes, we undertook systematic mapping of BRCA2 for potential phosphorylation sites by CHEK2. In vitro kinase assays and mass spectrometric analysis identified a 50 amino-acid fragment within the N-terminus of BRCA2 potentially targeted by CHEK2, containing two major phosphopeptides. Inducible overexpression of this peptide, but not a derivative with mutated phosphorylation sites, leads to increased chromosome fragmentation and suppression of cellular proliferation. These results suggest a link between CHEK2 and BRCA2 pathways, which may contribute to the spectrum of cancers associated with germline CHEK2 mutations.
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Affiliation(s)
- S Kim
- Massachusetts General Hospital Cancer Center, Harvard Medical School, Massachusetts General Hospital, Charlestown, MA 02129, USA
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46
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Mohapatra G, Betensky RA, Miller ER, Carey B, Gaumont LD, Engler DA, Louis DN. Glioma test array for use with formalin-fixed, paraffin-embedded tissue: array comparative genomic hybridization correlates with loss of heterozygosity and fluorescence in situ hybridization. J Mol Diagn 2006; 8:268-76. [PMID: 16645215 PMCID: PMC1867586 DOI: 10.2353/jmoldx.2006.050109] [Citation(s) in RCA: 37] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Array-based comparative genomic hybridization (aCGH) is a powerful, high-throughput tool for whole genome analysis. Until recently, aCGH could only be reproducibly performed on frozen tissue samples and with significant tissue amounts. For brain tumors however, paraffin-embedded tissue blocks from small stereotactic biopsies may be the only tissue routinely available. The development of methods to analyze formalin-fixed, paraffin-embedded (FFPE) material therefore has the potential to impact molecular diagnosis in a significant way. To this end, we constructed a BAC array representing chromosomes 1, 7, 19, and X because 1p/19q deletion and EGFR gene amplification provide clinically relevant information for glioma diagnosis. We also optimized a two-step labeling procedure using an amine-modified nucleotide for generating aCGH probes. Using this approach, we analyzed a series of 28 FFPE oligodendroglial tumors for alterations of chromosomes 1, 7, and 19. We also independently assayed these tumors for 1p/19q deletion by fluorescence in situ hybridization and by loss of heterozygosity analyses. The concordance between aCGH, standard loss of heterozygosity and fluorescence in situ hybridization was nearly 100% for the chromosomes analyzed. These results suggest that aCGH could offer an improved molecular diagnostic approach for gliomas because of its ability to detect clinically relevant molecular alterations in small FFPE specimens.
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Affiliation(s)
- Gayatry Mohapatra
- Department of Pathology, Cancer Center and Neurosurgical Service, Massachusetts General Hospital and Harvard Medical School, Boston 02129, USA
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47
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Smolen GA, Muir B, Mohapatra G, Barmettler A, Kim WJ, Rivera MN, Haserlat SM, Okimoto RA, Kwak E, Dahiya S, Garber JE, Bell DW, Sgroi DC, Chin L, Deng CX, Haber DA. Frequent met oncogene amplification in a Brca1/Trp53 mouse model of mammary tumorigenesis. Cancer Res 2006; 66:3452-5. [PMID: 16585167 DOI: 10.1158/0008-5472.can-05-4181] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
In a screen for gene copy number alterations in mouse mammary tumors initiated by loss of the Brca1 and Trp53 genes, we observed that the majority (11 of 15; 73%) had high-level amplification of wild-type Met, encoding a growth factor receptor implicated in tumor progression. Met amplification was localized to unstable double minute chromosomes and was uniquely found in mouse breast tumors driven by loss of Brca1 and Trp53. Whereas analogous MET amplification was not found in human breast cancers, the identification of a dominant somatic genetic lesion in the Brca1/Trp53 mouse model suggests that recurrent secondary hits may also exist in BRCA1-initiated human breast cancer.
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Affiliation(s)
- Gromoslaw A Smolen
- Massachusetts General Hospital Cancer Center, Harvard Medical School, 13th Street, Charlestown, MA 02129, USA
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48
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Smolen GA, Sordella R, Muir B, Mohapatra G, Barmettler A, Archibald H, Kim WJ, Okimoto RA, Bell DW, Sgroi DC, Christensen JG, Settleman J, Haber DA. Amplification of MET may identify a subset of cancers with extreme sensitivity to the selective tyrosine kinase inhibitor PHA-665752. Proc Natl Acad Sci U S A 2006; 103:2316-21. [PMID: 16461907 PMCID: PMC1413705 DOI: 10.1073/pnas.0508776103] [Citation(s) in RCA: 425] [Impact Index Per Article: 23.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
The success of molecular targeted therapy in cancer may depend on the selection of appropriate tumor types whose survival depends on the drug target, so-called "oncogene addiction." Preclinical approaches to defining drug-responsive subsets are needed if initial clinical trials are to be directed at the most susceptible patient population. Here, we show that gastric cancer cells with high-level stable chromosomal amplification of the growth factor receptor MET are extraordinarily susceptible to the selective inhibitor PHA-665752. Although MET activation has primarily been linked with tumor cell migration and invasiveness, the amplified wild-type MET in these cells is constitutively activated, and its continued signaling is required for cell survival. Treatment with PHA-665752 triggers massive apoptosis in 5 of 5 gastric cancer cell lines with MET amplification but in 0 of 12 without increased gene copy numbers (P = 0.00016). MET amplification may thus identify a subset of epithelial cancers that are uniquely sensitive to disruption of this pathway and define a patient group that is appropriate for clinical trials of targeted therapy using MET inhibitors.
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Affiliation(s)
| | | | - Beth Muir
- Department of Pathology, Molecular Pathology Research Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129; and
| | - Gayatry Mohapatra
- Department of Pathology, Molecular Pathology Research Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129; and
| | - Anne Barmettler
- Department of Pathology, Molecular Pathology Research Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129; and
| | | | | | | | | | - Dennis C. Sgroi
- Department of Pathology, Molecular Pathology Research Unit, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129; and
| | | | | | - Daniel A. Haber
- *Cancer Center and
- To whom correspondence should be addressed at:
Massachusetts General Hospital Cancer Center, Building 149, 13th Street, Charlestown, MA 02129. E-mail:
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49
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Riemenschneider MJ, Mueller W, Betensky RA, Mohapatra G, Louis DN. In situ analysis of integrin and growth factor receptor signaling pathways in human glioblastomas suggests overlapping relationships with focal adhesion kinase activation. Am J Pathol 2006; 167:1379-87. [PMID: 16251422 PMCID: PMC1603783 DOI: 10.1016/s0002-9440(10)61225-4] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
Deregulated integrin signaling is common in cancers, including glioblastoma. Integrin binding and growth factor receptor signaling activate focal adhesion kinase (FAK) and subsequently up-regulate extracellular regulated kinases (ERK-1/2), leading to cell-cycle progression and cell migration. Most studies of this pathway have used in vitro systems or tumor lysate-based approaches. We examined these pathways primarily in situ using a panel of 30 glioblastomas and gene expression arrays, immunohistochemistry, and fluorescence in situ hybridization, emphasizing the histological distribution of molecular changes. Within individual tumors, increased expression of FAK, p-FAK, paxillin, ERK-1/2, and p-ERK-1/2 occurred in regions of elevated EGFR and/or PDGFRA expression. Moreover, FAK activation levels correlated with EGFR and PDGFRA expression, and p-FAK and EGFR expression co-localized at the single-cell level. In addition, integrin expression was enriched in EGFR/PDGFRA-overexpressing areas but was more regionally confined than FAK, p-FAK, and paxillin. Integrins beta8 and alpha5beta1 were most commonly expressed, often in a perinecrotic or perivascular pattern. Taken together, our data suggest that growth factor receptor overexpression facilitates alterations in the integrin signaling pathway. Thus, FAK may act in glioblastoma as a downstream target of growth factor signaling, with integrins enhancing the impact of such signaling in the tumor microenvironment.
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Affiliation(s)
- Markus J Riemenschneider
- Department of Pathology, Molecular Neuro-Oncology Laboratory, 149-7151, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
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50
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Abstract
DNA sequence copy number has been shown to be associated with cancer development and progression. Array-based comparative genomic hybridization (aCGH) is a recent development that seeks to identify the copy number ratio at large numbers of markers across the genome. Due to experimental and biological variations across chromosomes and hybridizations, current methods are limited to analyses of single chromosomes. We propose a more powerful approach that borrows strength across chromosomes and hybridizations. We assume a Gaussian mixture model, with a hidden Markov dependence structure and with random effects to allow for intertumoral variation, as well as intratumoral clonal variation. For ease of computation, we base estimation on a pseudolikelihood function. The method produces quantitative assessments of the likelihood of genetic alterations at each clone, along with a graphical display for simple visual interpretation. We assess the characteristics of the method through simulation studies and analysis of a brain tumor aCGH data set. We show that the pseudolikelihood approach is superior to existing methods both in detecting small regions of copy number alteration and in accurately classifying regions of change when intratumoral clonal variation is present. Software for this approach is available at http://www.biostat.harvard.edu/ approximately betensky/papers.html.
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Affiliation(s)
- David A Engler
- Department of Biostatistics, Harvard University, 655 Huntington Avenue, Boston, MA 02115, and Massachusetts General Hospital, Department of Pathology, Charlestown 02129, USA.
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