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Characterization of X-Linked SNP Genotypic Variation in Globally Distributed Human Populations Genome Biology 2010, 11:R10
Casto et al. Genome Biology 2010, 11:R10 http://genomebiology.com/2010/11/1/R10 RESEARCH Open Access CharacterizationResearch of X-Linked SNP genotypic variation in globally distributed human populations Amanda M Casto*1, Jun Z Li2, Devin Absher3, Richard Myers3, Sohini Ramachandran4 and Marcus W Feldman5 HumanAnhumanulation analysis structurepopulationsX-linked of X-linked variationand provides de geneticmographic insights variation patterns. into in pop- Abstract Background: The transmission pattern of the human X chromosome reduces its population size relative to the autosomes, subjects it to disproportionate influence by female demography, and leaves X-linked mutations exposed to selection in males. As a result, the analysis of X-linked genomic variation can provide insights into the influence of demography and selection on the human genome. Here we characterize the genomic variation represented by 16,297 X-linked SNPs genotyped in the CEPH human genome diversity project samples. Results: We found that X chromosomes tend to be more differentiated between human populations than autosomes, with several notable exceptions. Comparisons between genetically distant populations also showed an excess of X- linked SNPs with large allele frequency differences. Combining information about these SNPs with results from tests designed to detect selective sweeps, we identified two regions that were clear outliers from the rest of the X chromosome for haplotype structure and allele frequency distribution. We were also able to more precisely define the geographical extent of some previously described X-linked selective sweeps. Conclusions: The relationship between male and female demographic histories is likely to be complex as evidence supporting different conclusions can be found in the same dataset. -
An Integrated Genome-Wide Approach to Discover Tumor- Specific Antigens As Potential Immunologic and Clinical Targets in Cancer
Published OnlineFirst November 7, 2012; DOI: 10.1158/0008-5472.CAN-12-1656 Cancer Integrated Systems and Technologies Research An Integrated Genome-Wide Approach to Discover Tumor- Specific Antigens as Potential Immunologic and Clinical Targets in Cancer Qing-Wen Xu1, Wei Zhao1, Yue Wang8,9, Maureen A. Sartor11, Dong-Mei Han2, Jixin Deng10, Rakesh Ponnala8,9, Jiang-Ying Yang3, Qing-Yun Zhang3, Guo-Qing Liao4, Yi-Mei Qu4,LuLi5, Fang-Fang Liu6, Hong-Mei Zhao7, Yan-Hui Yin1, Wei-Feng Chen1,†, Yu Zhang1, and Xiao-Song Wang8,9 Abstract Tumor-specific antigens (TSA) are central elements in the immune control of cancers. To systematically explore the TSA genome, we developed a computational technology called heterogeneous expression profile analysis (HEPA), which can identify genes relatively uniquely expressed in cancer cells in contrast to normal somatic tissues. Rating human genes by their HEPA score enriched for clinically useful TSA genes, nominating candidate targets whose tumor-specific expression was verified by reverse transcription PCR (RT-PCR). Coupled with HEPA, we designed a novel assay termed protein A/G–based reverse serological evaluation (PARSE) for quick detection of serum autoantibodies against an array of putative TSA genes. Remarkably, highly tumor-specific autoantibody responses against seven candidate targets were detected in 4% to 11% of patients, resulting in distinctive autoantibody signatures in lung and stomach cancers. Interrogation of a larger cohort of 149 patients and 123 healthy individuals validated the predictive value of the autoantibody signature for lung cancer. Together, our results establish an integrated technology to uncover a cancer-specific antigen genome offering a reservoir of novel immunologic and clinical targets. -
A Comprehensive Analysis of the MAGE Family As Prognostic and Diagnostic Markers for Hepatocellular Carcinoma
A Comprehensive Analysis of the MAGE Family as Prognostic and Diagnostic Markers for Hepatocellular Carcinoma Rong Li Guangdong Provincial Key Laboratory of Liver Disease Research, Guangdong province engineering laboratory for transplantation medicine, Third Aliated Hospital of Sun Yat-sen University Jiao Gong Department of Laboratory Medicine, Third Aliated Hospital of Sun Yat-sen University Cuicui Xiao Department of Anesthesiology, Cell-Gene therapy Translational Medicine Research Center, Third Aliated Hospital of Sun Yat-sen University Shuguang Zhu Department of Hepatic Surgery and Liver Transplantation Center, The Third Aliated Hospital of Sun Yat-sen University Zhongying Hu Guangdong provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Jinliang Liang Guangdong Provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Xuejiao Li Guangdong Provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Xijing Yan Department of Hepatic Surgery and Liver Transplantation Center, Third Aliated Hospital of Sun Yat-sen University Xijian Zhang Department of Hepatic Surgery and Liver Transplantation Center, Third Aliated Hospital of Sun Yat-sen University Danyang Li Department of Infectious Diseases, Third Aliated Hospital of Sun Yat-sen University Wei Liu Guangdong Provincial Key Laboratory of Liver Disease Research, Guangdong province engineering laboratory for transplantation medicine, Third Aliated Hospital -
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Colemon et al. Genes and Environment (2020) 42:24 https://doi.org/10.1186/s41021-020-00162-2 RESEARCH Open Access DNA hypomethylation drives changes in MAGE-A gene expression resulting in alteration of proliferative status of cells Ashley Colemon1, Taylor M. Harris2 and Saumya Ramanathan2,3* Abstract Melanoma Antigen Genes (MAGEs) are a family of genes that have piqued the interest of scientists for their unique expression pattern. A subset of MAGEs (Type I) are expressed in spermatogonial cells and in no other somatic tissue, and then re-expressed in many cancers. Type I MAGEs are often referred to as cancer-testis antigens due to this expression pattern, while Type II MAGEs are more ubiquitous in expression. This study determines the cause and consequence of the aberrant expression of the MAGE-A subfamily of cancer-testis antigens. We have discovered that MAGE-A genes are regulated by DNA methylation, as revealed by treatment with 5-azacytidine, an inhibitor of DNA methyltransferases. Furthermore, bioinformatics analysis of existing methylome sequencing data also corroborates our findings. The consequence of expressing certain MAGE-A genes is an increase in cell proliferation and colony formation and resistance to chemo-therapeutic agent 5-fluorouracil and DNA damaging agent sodium arsenite. Taken together, these data indicate that DNA methylation plays a crucial role in regulating the expression of MAGE-A genes which then act as drivers of cell proliferation, anchorage-independent growth and chemo-resistance that is critical for cancer-cell survival. Keywords: Cancer, Cancer-testis antigens, Melanoma antigen genes, Anchorage-independent growth, Epigenetics, DNA methylation, Gene expression, Cell proliferation, Chemo-resistance Introduction antigens, and located on the X-chromosome, whereas Type Melanoma Antigen Genes (MAGEs) were first discovered II MAGEs are ubiquitous in expression and some members because a patient with melanoma and a few melanoma cell such as MAGEL2 are located on autosomes [3]. -
Evaluation of the X-Linked High-Grade Myopia Locus (MYP1) with Cone Dysfunction and Color Vision Deficiencies
Evaluation of the X-Linked High-Grade Myopia Locus (MYP1) with Cone Dysfunction and Color Vision Deficiencies Ravikanth Metlapally,1,2 Michel Michaelides,3,4 Anuradha Bulusu,2 Yi-Ju Li,2 Marianne Schwartz,5 Thomas Rosenberg,6 David M. Hunt,3 Anthony T. Moore,3,4 Stephan Zu¨chner,2 Catherine Bowes Rickman,1 and Terri L. Young1,2 PURPOSE. X-linked high myopia with mild cone dysfunction and umerous genetic linkage studies have identified chromo- color vision defects has been mapped to chromosome Xq28 Nsomal regions associated with primarily familial develop- (MYP1 locus). CXorf2/TEX28 is a nested, intercalated gene ment of myopia.1 In the present study, we evaluated pedigrees within the red-green opsin cone pigment gene tandem array on that mapped to the first identified locus for high myopia on Xq28. The authors investigated whether TEX28 gene alter- chromosome X (MYP1, OMIM 310460).2 In a large pedigree ations were associated with the Xq28-linked myopia pheno- reported in 1988, this locus was mapped to chromosome type. Genomic DNA from five pedigrees (with high myopia and Xq27.3–28 by Schwartz et al.2–4 and Young et al.2–4 using either protanopia or deuteranopia) that mapped to Xq28 were restriction fragment-linked polymorphic markers. The family screened for TEX28 copy number variations (CNVs) and se- originated in Bornholm, Denmark, and the phenotype of Born- quence variants. holm eye disease (BED) included high-grade myopia, amblyo- pia, optic nerve hypoplasia, subnormal dark-adapted electro- METHODS. To examine for CNVs, ultra-high resolution array- retinographic (ERG) flicker function, and deuteranopia. -
A Novel Cancer/Testis Antigen KP-OVA-52 Identified by SEREX in Human Ovarian Cancer Is Regulated by DNA Methylation
INTERNATIONAL JOURNAL OF ONCOLOGY 41: 1139-1147, 2012 A novel cancer/testis antigen KP-OVA-52 identified by SEREX in human ovarian cancer is regulated by DNA methylation KANG-MI KIM1*, MYUNG-HA SONG2*, MIN-JU KIM2, SAYEEMA DAUDI3, ANTHONY MILIOTTO3, LLOYD OLD4, KUNLE ODUNSI3 and SANG-YULL LEE2 Departments of 1Microbiology and Immunology and 2Biochemistry, School of Medicine, Pusan National University, Yangsan-si, Gyeongsangnam-do 626-770, Republic of Korea; 3Department of Gynecologic Oncology and Center for Immunotherapy Roswell Park Cancer Institute, New York, NY 142634; 4Ludwig Institute for Cancer Research, New York Branch at Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA Received March 6, 2012; Accepted May 14, 2012 DOI: 10.3892/ijo.2012.1508 Abstract. SEREX has proven to be a powerful method that takes not significantly improved over the last 30 years despite advances advantage of the presence of spontaneous humoral immune in treatment (3). Current therapies are effective for patients with response in some cancer patients. In this study, immunoscreening early stage disease (FIGO stage I/II) where 5-year survival rates of normal testis and two ovarian cancer cell line cDNA expres- range from 73% to 93%. Their usefulness, however, is limited for sion libraries with sera from ovarian cancer patients led to the patients with advanced stage disease where the 5-year survival isolation of 75 independent antigens, designated KP-OVA-1 is only about 30% (2). Because so many ovarian cancer patients through KP-OVA-75. Of these, RT-PCR showed KP-OVA-52 are diagnosed at a later stage, it is important to find methods by to be expressed strongly in normal testis, in ovarian cancer cell which to improve treatments for more advanced disease. -
| Hao Wala Naman Takia Pilot at an Wa Aina Tatti
|HAO WALA NAMAN TAKIAUS009920379B2 PILOT AT AN WA AINA TATTI (12 ) United States Patent (10 ) Patent No. : US 9 , 920 , 379 B2 Bentwich et al. (45 ) Date of Patent: Mar. 20 , 2018 ( 54 ) NUCLEIC ACIDS RELATED TO ( 2013. 01 ) ; C12N 2310 / 531 (2013 . 01 ) ; C12N MIR - 29B - 1 -5P AND USES THEREOF 2320 / 10 ( 2013 .01 ) ; C12N 2320 / 11 ( 2013 . 01 ) ; CI2N 2320 / 30 ( 2013 .01 ) ; C12N 2330 / 10 (71 ) Applicant : Rosetta Genomics Ltd ., Rehovot ( IL ) (2013 .01 ) ; C12Q 2600 / 106 (2013 .01 ) ; C12Q @ 2600 / 136 ( 2013 . 01 ) ; C12Q 2600 / 158 ( 72 ) Inventors : Itzhak Bentwich , Tel Aviv ( IL ) ; Amir (2013 . 01) ; C12Q 2600 / 16 (2013 . 01 ) ; C12Q Ayniel, Tel Aviv ( IL ) ; Yael Karov , Tel 2600 / 178 (2013 .01 ) Aviv ( IL ) ; Ranit Aharonov , Tel Aviv (58 ) Field of Classification Search None (IL ) See application file for complete search history . @( 73 ) Assignee : ROSETTA GENOMICS LTD ., Rehovot ( IL ) (56 ) References Cited U . S . PATENT DOCUMENTS @( * ) Notice : Subject to any disclaimer , the term of this patent is extended or adjusted under 35 7 , 250 , 289 B2 7 /2007 Zhou 7 , 407 , 784 B2 8 /2008 Butzke et al . U . S . C . 154 (b ) by 0 days . 7 ,655 , 785 B1 2 / 2010 Bentwich 7 , 820 , 809 B2 10 /2010 Khvorova et al . ( 21 ) Appl. No. : 15 /586 , 747 2005 /0075492 Al 4 /2005 Chen et al . 2005 /0261218 AL 11 / 2005 Esau ( 22 ) Filed : May 4 , 2017 2006 /0247193 AL 11 /2006 Kazunari 2008 /0125583 Al 5 /2008 Rigoutsos et al . 2008 /0269072 Al 10 / 2008 Hart et al. (65 ) Prior Publication Data 2012 / 0094374 Al 4 / 2012 Bentwich US 2017 / 0298447 A1 Oct. -
MAGEC3 Is a Prognostic Biomarker in Ovarian and Kidney Cancers
medRxiv preprint doi: https://doi.org/10.1101/2021.04.30.21256427; this version posted May 4, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. MAGEC3 is a prognostic biomarker in ovarian and kidney cancers James Ellegate Jr1, Michalis Mastri1, Emily Isenhart1, John J. Krolewski1, Gurkamal Chatta2, Eric Kauffman2, Melissa Moffitt3, Kevin H. Eng1,4* 1. Department of Cancer Genetics and Genomics 2. Department of Urology 3. Department of Gynecologic Oncology 4. Department of Biostatistics and Bioinformatics Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263 USA Corresponding author: Kevin H. Eng, Ph.D. Department of Cancer Genetics and Genomics Roswell Park Comprehensive Cancer Center Elm and Carlton Streets Buffalo, NY 14263 USA [email protected] STATEMENT OF TRANSLATIONAL RELEVANCE MAGEC3 protein is expressed in multiple tissues and is dysregulated in cancer. In this work, we show that ovarian and kidney cancer patients with loss of MAGEC3 protein have favorable prognosis, indicating that MAGEC3 protein level may be used as a prognostic biomarker. Integrative genomic analysis of patients spanning more than nine cancer types showed an association between MAGEC3 protein and genes affecting stress response, including those involved in cell cycle and DNA damage repair. Additionally, it is correlated with tumor mutational burden in patients with mutated oncogenes. These associations suggest that MAGEC3 protein levels may be used to identify patients with deficient DNA damage repair mechanisms that can be targeted by PARP inhibitors. -
Study of Cancer Genes in X -Chromosome
Journal of Theoretical and Applied Information Technology © 2008 JATIT. All rights reserved. www.jatit.org STUDY OF CANCER GENES IN X -CHROMOSOME Niranjan, V1, Mahmood, R1, Kalaivani.A2 and Sudha.S2 1 Department of Biotechnology and Bioinformatics, Kuvempu University, Jnana Sahyadri, Shankaraghatta, Karnataka 577451, 2 Department of Pharmacoinformatics, Sastra University Thanjore, Tamilnadu India Email: [email protected], [email protected] ABSTRACT Cancer results due to mutations that occur within our genetic material. A small proportion of our genes are directly involved in maintaining normal cell growth; mutations that occur within these genes can eventually lead to cancer. Stevenson et al. was the first to discover the various reasons for the occurrence and the prevalence of cancer with the X-Chromosomal disorders. Our research focused on finding out the cancerous genes located on X – chromosome and the study of their expression. We found in majority were in the tissues of nervous systems, liver, pancreas and prostate which is characteristics of higher mammalians. Hence the sex chromosomes play a major role in cancer. Another important conclusion we were able to draw from the analysis is that CT antigens and its homologs were found to be most important in cancer and hence we investigated on MAGEE1 the most important CT antigens, which was found to be more responsible for causing cancer, Several databases were made use of in the comprehensive analysis of the magee1 gene. An extensive analysis of the magee1 gene including modeling of its structure may prove useful in designing a drug for cancer treatment. Keywords: Gene expression, MAGEE-1 gene, CT antigens, Homology modeling, Structure validation. -
Figures, Tables, Notes
Supplementary Note 1: BAC selection strategy and assembly of the rhesus MSY sequence The CHORI-250 BAC library had been fingerprinted and assembled into fingerprint contigs at the Michael Smith Genome Sciences Centre (http://www.bcgsc.ca/downloads/rhesusmap.tar.gz). We identified Y chromosome fingerprint contigs by searching for contigs containing multiple BACs with end sequences that did not match the female whole-genome shotgun sequence. We then verified the male-specificity of these contigs using +/- PCR assays on male and female genomic DNA and selected tiling paths of clones for sequencing. We used high-density filter hybridization with pools of overgo probes to identify clones from the CHORI-250 and RMAEX libraries to fill gaps. The assembled rhesus MSY sequence spans 11.0 megabases (Mb) in three contigs (Supplemenary File 1). The largest contig (7.9 Mb) is anchored by the pseudoautosomal region, which was confirmed to be located at the distal end of the chromosome by extended metaphase fluorescence in situ hybridization (EM-FISH) (Supplementary Fig. 2). The smallest contig (1.1 Mb) is bounded by the centromere. The rhesus Y is acrocentric, as determined by EM-FISH (Supplementary Fig. 3). Therefore, the third contig (1.9 Mb) is located between the 7.9 Mb and 1.1 Mb contigs. We determined the orientation of the 1.9 Mb contig by EM-FISH (Supplementary Fig. 4) and radiation hybrid mapping (Supplementary Fig. 5 and Supplementary File 2). We conclude that our assembled sequence is nearly complete based on the small size of the gaps between the three contigs as determined by interphase FISH (Supplementary Fig. -
Genomic Organization, Incidence, and Localization of the SPAN-X Family of Cancer-Testis Antigens in Melanoma Tumors and Cell Lines
Vol. 10, 101–112, January 1, 2004 Clinical Cancer Research 101 Genomic Organization, Incidence, and Localization of the SPAN-X Family of Cancer-Testis Antigens in Melanoma Tumors and Cell Lines 1 1 V. Anne Westbrook, Pamela D. Schoppee, immunoreactive proteins migrated between Mr 15,000 and 1 1 Alan B. Diekman, Kenneth L. Klotz, Mr 20,000 similar to those observed in spermatozoa. Immu- Margaretta Allietta,1 Kevin T. Hogan,2 noperoxidase labeling of melanoma cells and tissue sections 2 3 demonstrated SPAN-X protein localization in the nucleus, Craig L. Slingluff, James W. Patterson, cytoplasm, or both. Ultrastructurally, in melanoma cells 3 4 Henry F. Frierson, William P. Irvin, Jr., with nuclear SPAN-X, the protein was associated with the Charles J. Flickinger,1 Michael A. Coppola,1 and nuclear envelope, a localization similar to that observed in John C. Herr1 human spermatids and spermatozoa. Significantly, the inci- 1Departments of Cell Biology, 2Surgery, 3Pathology, and 4Obstetrics dence of SPAN-X-positive immunostaining was greatest in and Gynecology, Center for Research in Contraceptive and the more aggressive skin tumors, particularly in distant, Reproductive Health, University of Virginia, Charlottesville, Virginia nonlymphatic metastatic melanomas. Conclusions: The data herein suggest that the SPAN-X protein may be a useful target in cancer immunotherapy. ABSTRACT Purpose: Members of the SPAN-X (sperm protein as- INTRODUCTION sociated with the nucleus mapped to the X chromosome) Molecular characterization of human tumor antigens rec- family of cancer-testis antigens are promising targets for ognized by the cellular or humoral immune systems of cancer tumor immunotherapy because they are normally expressed patients has generated new prospects for the development of exclusively during spermiogenesis on the adluminal side of cancer vaccines (1–3). -
TUMOR Weight Pvalue LLID Unigene Clone ID Gene Name Clone Title
TUMOR Weight pValue LLID UniGene Clone ID Gene Name Clone Title DFSP 21.995618 0.000001 22901 Hs.279937 767289 KIAA1001 KIAA1001 protein (arylsulfatase G ) DFSP 20.640497 0.000001 22901 Hs.279937 767289 KIAA1001 KIAA1001 protein (arylsulfatase G ) DFSP 16.808706 0.000001 115207 Hs.109438 491519 LOC115207 hypothetical protein BC013764 Potassium channel tetramerisation domain containing 12 (KCTD12) DFSP 16.762566 0.000001 6241 Hs.75319 624627 RRM2 ribonucleotide reductase M2 polypeptide DFSP 15.336772 0.000001 26960 Hs.3821 32273 NBEA neurobeachin DFSP 15.292698 0.000001 3956 Hs.227751 2911117 LGALS1 lectin, galactoside-binding, soluble, 1 (galectin 1) DFSP 14.971929 0.000001 4853 Hs.8121 855336 NOTCH2 Notch homolog 2 (Drosophila) DFSP 14.461723 0.000001 2012 Hs.79368 1589468 EMP1 epithelial membrane protein 1 DFSP 14.2439 0.000001 10253 Hs.18676 813698 SPRY2 sprouty homolog 2 (Drosophila) DFSP 14.096623 0.000001 1306 Hs.83164 809901 COL15A1 collagen, type XV, alpha 1 DFSP 13.865339 0.000001 192137 Hs.239870 138929 HCC-4 cervical cancer oncogene 4 DFSP 13.84257 0.000001 10184 Hs.79299 1469377 LHFPL2 lipoma HMGIC fusion partner-like 2 DFSP 13.022625 0.000001 124540 Hs.173179 244227 MSI2 musashi homolog 2 (Drosophila) DFSP 12.98912 0.000001 64216 Hs.7395 897576 TFB2M transcription factor B2, mitochondrial DFSP 12.551832 0.000001 8829 Hs.69285 489535 NRP1 neuropilin 1 DFSP 12.417664 0.000001 26471 Hs.8603 80484 P8 p8 protein (candidate of metastasis 1) DFSP 12.344255 0.000001 10577 Hs.119529 854644 NPC2 Niemann-Pick disease, type C2 DFSP 12.260815