Recurrent amplification of MYC and TNFRSF11B in 8q24 is associated with poor survival in patients with gastric cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-01

AUTHORS

Xiaohong Wang, Yiqiang Liu, Duanfang Shao, Ziliang Qian, Zhengwei Dong, Yun Sun, Xiaofang Xing, Xiaojing Cheng, Hong Du, Ying Hu, Yingai Li, Lin Li, Bin Dong, Ziyu Li, Aiwen Wu, Xiaojiang Wu, Zhaode Bu, Xianglong Zong, Guanshan Zhu, Qunsheng Ji, Xian-zi Wen, Lian-hai Zhang, Jia-fu Ji

ABSTRACT

BACKGROUND: Gastric cancer (GC) is an aggressive malignancy whose mechanisms of development and progression are poorly understood. The identification of prognosis-related genomic loci and genes may suffer from the relatively small case numbers and a lack of systematic validation in previous studies. METHODS: Array-based comparative genomic hybridization (aCGH) coupled with patient clinical information was applied to identify prognosis-related loci and genes with high-frequency recurrent gains in 129 GC patients. The candidate loci and genes were then validated using an independent cohort of 384 patients through branched DNA signal amplification analysis (QuantiGene assays). RESULTS: In the 129 patients, a copy number gain of three chromosome regions-namely, 8q22 (including ESRP1 and CCNE2), 8q24 (including MYC and TNFRSF11B), and 20q11-q13 (including SRC, MMP9, and CSE1L)--conferred poor survival for patients. In addition, the correlation between the branched DNA signal amplification analysis results and the aCGH results was analyzed in 73 of these 129 patients, and MYC, TNFRSF11B, ESRP1, CSE1L, and MMP9 were found to be well correlated. Further validation using an independent cohort (n = 384) verified that only MYC and TNFRSF11B within 8q24 are related to survival. Patients with gains in both MYC and TNFRSF11B had poorer survival than those with no gains, particularly those with noncardia GC. Gains in both of these genes were also a significant independent prognostic indicator. CONCLUSIONS: Our results revealed that copy number gains in MYC and TNFRSF11B located at 8q24 are associated with survival in GC, particularly noncardia GC. More... »

PAGES

116-127

References to SciGraph publications

  • 2008-09. Squalene epoxidase, located on chromosome 8q24.1, is upregulated in 8q+ breast cancer and indicates poor clinical outcome in stage I and II disease in BRITISH JOURNAL OF CANCER
  • 2012-12. Genome-wide CNV analysis replicates the association between GSTM1 deletion and bladder cancer: a support for using continuous measurement from SNP-array data in BMC GENOMICS
  • 2003-08. Expression of osteoprotegerin correlates with aggressiveness and poor prognosis of gastric carcinoma in VIRCHOWS ARCHIV
  • 2012-12. Osteoprotegerin (OPG) protects ovarian cancer cells from TRAIL-induced apoptosis but does not contribute to malignant ascites-mediated attenuation of TRAIL-induced apoptosis in JOURNAL OF OVARIAN RESEARCH
  • 2006-09. Evaluation of DNA microarray results with quantitative gene expression platforms in NATURE BIOTECHNOLOGY
  • 2006-06. Comprehensive analysis of 19q12 amplicon in human gastric cancers in MODERN PATHOLOGY
  • 2013-12. MYC, FBXW7 and TP53 copy number variation and expression in Gastric Cancer in BMC GASTROENTEROLOGY
  • 2003-06. DNA copy number changes in young gastric cancer patients with special reference to chromosome 19 in BRITISH JOURNAL OF CANCER
  • 2010-11. The impact of C-MYC gene expression on gastric cancer cell in MOLECULAR AND CELLULAR BIOCHEMISTRY
  • 2013-12. Duodenal mucosal risk markers in patients with familial adenomatous polyposis: effects of celecoxib/ursodeoxycholic acid co-treatment and comparison with patient controls in ORPHANET JOURNAL OF RARE DISEASES
  • 2004-08. Osteoprotegerin (OPG) Produced by Bone Marrow Stromal Cells Protects Breast Cancer Cells from TRAIL-Induced Apoptosis in BREAST CANCER RESEARCH AND TREATMENT
  • 2005-08. Osteoprotegerin (OPG) Expression by Breast Cancer Cells in vitro and Breast Tumours in vivo – A Role in Tumour Cell Survival? in BREAST CANCER RESEARCH AND TREATMENT
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s10120-015-0467-2

    DOI

    http://dx.doi.org/10.1007/s10120-015-0467-2

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005233594

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/25618371


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Chromosomes, Human, Pair 8", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cohort Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Comparative Genomic Hybridization", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Amplification", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Gene Dosage", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Genes, myc", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Osteoprotegerin", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stomach Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Survival Analysis", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wang", 
            "givenName": "Xiaohong", 
            "id": "sg:person.0753013464.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753013464.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Pathology, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Liu", 
            "givenName": "Yiqiang", 
            "id": "sg:person.0725652430.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725652430.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shao", 
            "givenName": "Duanfang", 
            "id": "sg:person.0701342500.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701342500.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Qian", 
            "givenName": "Ziliang", 
            "id": "sg:person.01132277212.11", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132277212.11"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dong", 
            "givenName": "Zhengwei", 
            "id": "sg:person.01016050612.82", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016050612.82"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Yun", 
            "id": "sg:person.01223515652.34", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223515652.34"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Xing", 
            "givenName": "Xiaofang", 
            "id": "sg:person.01114731271.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114731271.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cheng", 
            "givenName": "Xiaojing", 
            "id": "sg:person.01021126664.98", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021126664.98"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Du", 
            "givenName": "Hong", 
            "id": "sg:person.01203470464.12", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203470464.12"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hu", 
            "givenName": "Ying", 
            "id": "sg:person.01204037144.69", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204037144.69"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Yingai", 
            "id": "sg:person.01135355264.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135355264.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Lin", 
            "id": "sg:person.0705203600.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705203600.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Pathology, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dong", 
            "givenName": "Bin", 
            "id": "sg:person.01033033374.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033033374.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Ziyu", 
            "id": "sg:person.013663110714.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013663110714.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Aiwen", 
            "id": "sg:person.01133157076.16", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133157076.16"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Xiaojiang", 
            "id": "sg:person.0704700264.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704700264.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bu", 
            "givenName": "Zhaode", 
            "id": "sg:person.0613517364.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613517364.54"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zong", 
            "givenName": "Xianglong", 
            "id": "sg:person.0641174201.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641174201.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhu", 
            "givenName": "Guanshan", 
            "id": "sg:person.01305012320.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305012320.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ji", 
            "givenName": "Qunsheng", 
            "id": "sg:person.01012063220.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012063220.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wen", 
            "givenName": "Xian-zi", 
            "id": "sg:person.01005466367.92", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005466367.92"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Lian-hai", 
            "id": "sg:person.0626755231.70", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626755231.70"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ji", 
            "givenName": "Jia-fu", 
            "id": "sg:person.01022571576.54", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022571576.54"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1002/jso.21585", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000622210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jso.21585", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000622210"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1757-2215-5-34", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000742849", 
              "https://doi.org/10.1186/1757-2215-5-34"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-09-1423", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001878004"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/gcc.1166", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001917499"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-07-5019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003001472"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1158/1078-0432.ccr-05-1977", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004152286"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-005-2419-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008264217", 
              "https://doi.org/10.1007/s10549-005-2419-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-005-2419-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008264217", 
              "https://doi.org/10.1007/s10549-005-2419-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1349-7006.2010.01500.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009486050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1349-7006.2010.01500.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009486050"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11010-010-0536-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010578723", 
              "https://doi.org/10.1007/s11010-010-0536-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11010-010-0536-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010578723", 
              "https://doi.org/10.1007/s11010-010-0536-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cncr.27607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011529011"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/path.1459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013136737"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1349-7006.2005.00016.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018762388"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1440-1746.2009.06191.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019685538"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1440-1746.2009.06191.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019685538"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cncr.21978", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022542032"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:brea.0000036900.48763.b3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022591624", 
              "https://doi.org/10.1023/b:brea.0000036900.48763.b3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-230x-13-141", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022863719", 
              "https://doi.org/10.1186/1471-230x-13-141"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(11)61941-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023440562"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2164-13-326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023869355", 
              "https://doi.org/10.1186/1471-2164-13-326"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/path.2686", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024220986"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.arcmed.2009.07.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024568108"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2011/631268", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024864399"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/path.2424", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025694785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/path.2424", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025694785"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pone.0064420", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026995127"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6600969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027201309", 
              "https://doi.org/10.1038/sj.bjc.6600969"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6600969", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027201309", 
              "https://doi.org/10.1038/sj.bjc.6600969"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3346/jkms.2006.21.4.656", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030393138"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bjc.6604556", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030629795", 
              "https://doi.org/10.1038/sj.bjc.6604556"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00428-003-0845-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033765951", 
              "https://doi.org/10.1007/s00428-003-0845-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037539567", 
              "https://doi.org/10.1038/nbt1236"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nbt1236", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037539567", 
              "https://doi.org/10.1038/nbt1236"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.5230/jgc.2012.12.2.73", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037623974"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1750-1172-8-181", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037883991", 
              "https://doi.org/10.1186/1750-1172-8-181"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/j.gastro.2011.12.039", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041961860"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1155/2004/454238", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042544156"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/carcin/bgr228", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044337028"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.3800593", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048059529", 
              "https://doi.org/10.1038/modpathol.3800593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/modpathol.3800593", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048059529", 
              "https://doi.org/10.1038/modpathol.3800593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/cs20050175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049942278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1042/cs20050175", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049942278"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cancergencyto.2005.01.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050711863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cancergencyto.2005.01.007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050711863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1309/ajcp1boutwf6erys", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050908851"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078687279", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2013.0070", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078728471"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2013.0070", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078728471"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2016-01", 
        "datePublishedReg": "2016-01-01", 
        "description": "BACKGROUND: Gastric cancer (GC) is an aggressive malignancy whose mechanisms of development and progression are poorly understood. The identification of prognosis-related genomic loci and genes may suffer from the relatively small case numbers and a lack of systematic validation in previous studies.\nMETHODS: Array-based comparative genomic hybridization (aCGH) coupled with patient clinical information was applied to identify prognosis-related loci and genes with high-frequency recurrent gains in 129 GC patients. The candidate loci and genes were then validated using an independent cohort of 384 patients through branched DNA signal amplification analysis (QuantiGene assays).\nRESULTS: In the 129 patients, a copy number gain of three chromosome regions-namely, 8q22 (including ESRP1 and CCNE2), 8q24 (including MYC and TNFRSF11B), and 20q11-q13 (including SRC, MMP9, and CSE1L)--conferred poor survival for patients. In addition, the correlation between the branched DNA signal amplification analysis results and the aCGH results was analyzed in 73 of these 129 patients, and MYC, TNFRSF11B, ESRP1, CSE1L, and MMP9 were found to be well correlated. Further validation using an independent cohort (n = 384) verified that only MYC and TNFRSF11B within 8q24 are related to survival. Patients with gains in both MYC and TNFRSF11B had poorer survival than those with no gains, particularly those with noncardia GC. Gains in both of these genes were also a significant independent prognostic indicator.\nCONCLUSIONS: Our results revealed that copy number gains in MYC and TNFRSF11B located at 8q24 are associated with survival in GC, particularly noncardia GC.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s10120-015-0467-2", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isFundedItemOf": [
          {
            "id": "sg:grant.7013697", 
            "type": "MonetaryGrant"
          }
        ], 
        "isPartOf": [
          {
            "id": "sg:journal.1020959", 
            "issn": [
              "1436-3291", 
              "1436-3305"
            ], 
            "name": "Gastric Cancer", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "19"
          }
        ], 
        "name": "Recurrent amplification of MYC and TNFRSF11B in 8q24 is associated with poor survival in patients with gastric cancer", 
        "pagination": "116-127", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "18ef2d2c5dfd34cb01633792a9d13a48695e56f64788692c231751ea037fd390"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "25618371"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100886238"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s10120-015-0467-2"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005233594"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s10120-015-0467-2", 
          "https://app.dimensions.ai/details/publication/pub.1005233594"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T15:45", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000486.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s10120-015-0467-2"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s10120-015-0467-2'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s10120-015-0467-2'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10120-015-0467-2'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10120-015-0467-2'


     

    This table displays all metadata directly associated to this object as RDF triples.

    464 TRIPLES      21 PREDICATES      85 URIs      38 LITERALS      26 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s10120-015-0467-2 schema:about N103dd3f670574fc3923c469bca30753b
    2 N12a0d0bec06845f19459e12af3f0c707
    3 N21dc8125e10646e5a17a2b02949e60f2
    4 N244d4b20ae3049b99c8bb9668978c303
    5 N37a7e2033ce246fd8fa7e30bd75b8333
    6 N4eaf02069a9f4cf79c36b977e75a410c
    7 N608cba45977f4864a683b0d69a2abc7e
    8 N60bdaae5448045f6a7c7dad4ddbc9dd0
    9 N617362e0ef6d49ccb14b830f60e14727
    10 Na33dcc16663a4b4c8c0f364ff1ce03cd
    11 Na9e77dbe53df4605afbfc874a51d5404
    12 Nc5e73a37942b4ab18e3e32f58418bf5b
    13 Nc8db3c6859d44ef780493cb20242539c
    14 Nce026d4eca7746cab83caf428fe9ae8b
    15 Nd95e69ff355f4dc1a7a6ad45aeda17a8
    16 Ne42cab66a32f4c6f8b8c4b94d708228f
    17 Ne85f6169bc5843b6858a122300701699
    18 anzsrc-for:11
    19 anzsrc-for:1112
    20 schema:author Nc3cc95fd15cd4b62a705146d13966ff1
    21 schema:citation sg:pub.10.1007/s00428-003-0845-8
    22 sg:pub.10.1007/s10549-005-2419-8
    23 sg:pub.10.1007/s11010-010-0536-0
    24 sg:pub.10.1023/b:brea.0000036900.48763.b3
    25 sg:pub.10.1038/modpathol.3800593
    26 sg:pub.10.1038/nbt1236
    27 sg:pub.10.1038/sj.bjc.6600969
    28 sg:pub.10.1038/sj.bjc.6604556
    29 sg:pub.10.1186/1471-2164-13-326
    30 sg:pub.10.1186/1471-230x-13-141
    31 sg:pub.10.1186/1750-1172-8-181
    32 sg:pub.10.1186/1757-2215-5-34
    33 https://app.dimensions.ai/details/publication/pub.1078687279
    34 https://doi.org/10.1002/cncr.21978
    35 https://doi.org/10.1002/cncr.27607
    36 https://doi.org/10.1002/gcc.1166
    37 https://doi.org/10.1002/jso.21585
    38 https://doi.org/10.1002/path.1459
    39 https://doi.org/10.1002/path.2424
    40 https://doi.org/10.1002/path.2686
    41 https://doi.org/10.1016/j.arcmed.2009.07.004
    42 https://doi.org/10.1016/j.cancergencyto.2005.01.007
    43 https://doi.org/10.1016/s0140-6736(11)61941-7
    44 https://doi.org/10.1042/cs20050175
    45 https://doi.org/10.1053/j.gastro.2011.12.039
    46 https://doi.org/10.1093/carcin/bgr228
    47 https://doi.org/10.1111/j.1349-7006.2005.00016.x
    48 https://doi.org/10.1111/j.1349-7006.2010.01500.x
    49 https://doi.org/10.1111/j.1440-1746.2009.06191.x
    50 https://doi.org/10.1155/2004/454238
    51 https://doi.org/10.1155/2011/631268
    52 https://doi.org/10.1158/1078-0432.ccr-05-1977
    53 https://doi.org/10.1158/1078-0432.ccr-07-5019
    54 https://doi.org/10.1158/1078-0432.ccr-09-1423
    55 https://doi.org/10.1309/ajcp1boutwf6erys
    56 https://doi.org/10.1371/journal.pone.0064420
    57 https://doi.org/10.3346/jkms.2006.21.4.656
    58 https://doi.org/10.5230/jgc.2012.12.2.73
    59 https://doi.org/10.6004/jnccn.2013.0070
    60 schema:datePublished 2016-01
    61 schema:datePublishedReg 2016-01-01
    62 schema:description BACKGROUND: Gastric cancer (GC) is an aggressive malignancy whose mechanisms of development and progression are poorly understood. The identification of prognosis-related genomic loci and genes may suffer from the relatively small case numbers and a lack of systematic validation in previous studies. METHODS: Array-based comparative genomic hybridization (aCGH) coupled with patient clinical information was applied to identify prognosis-related loci and genes with high-frequency recurrent gains in 129 GC patients. The candidate loci and genes were then validated using an independent cohort of 384 patients through branched DNA signal amplification analysis (QuantiGene assays). RESULTS: In the 129 patients, a copy number gain of three chromosome regions-namely, 8q22 (including ESRP1 and CCNE2), 8q24 (including MYC and TNFRSF11B), and 20q11-q13 (including SRC, MMP9, and CSE1L)--conferred poor survival for patients. In addition, the correlation between the branched DNA signal amplification analysis results and the aCGH results was analyzed in 73 of these 129 patients, and MYC, TNFRSF11B, ESRP1, CSE1L, and MMP9 were found to be well correlated. Further validation using an independent cohort (n = 384) verified that only MYC and TNFRSF11B within 8q24 are related to survival. Patients with gains in both MYC and TNFRSF11B had poorer survival than those with no gains, particularly those with noncardia GC. Gains in both of these genes were also a significant independent prognostic indicator. CONCLUSIONS: Our results revealed that copy number gains in MYC and TNFRSF11B located at 8q24 are associated with survival in GC, particularly noncardia GC.
    63 schema:genre research_article
    64 schema:inLanguage en
    65 schema:isAccessibleForFree true
    66 schema:isPartOf N2b4cc5581f804386a07ab6e065d8ccaa
    67 N80de5eedaf3840f19536c692844e6177
    68 sg:journal.1020959
    69 schema:name Recurrent amplification of MYC and TNFRSF11B in 8q24 is associated with poor survival in patients with gastric cancer
    70 schema:pagination 116-127
    71 schema:productId N3768bca84ca24dc7863afe816bf9075f
    72 N62c716dfab8540a68bbb9f7406f3d7a2
    73 Nad80da118cb64554aeb8a13322d7971f
    74 Nb4aa5c5fabf240609fbc0e0a5522b7d3
    75 Ndcdbcfb28b4f4d5c93ad2d5911b72e2d
    76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005233594
    77 https://doi.org/10.1007/s10120-015-0467-2
    78 schema:sdDatePublished 2019-04-10T15:45
    79 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    80 schema:sdPublisher N4446dcf41d6a437389a64d77880eea25
    81 schema:url http://link.springer.com/10.1007/s10120-015-0467-2
    82 sgo:license sg:explorer/license/
    83 sgo:sdDataset articles
    84 rdf:type schema:ScholarlyArticle
    85 N015d1e9551024fc5a2a4daf0559e52b6 rdf:first sg:person.01132277212.11
    86 rdf:rest Nf3a425a9556b48de9dc5be612a2e3e9a
    87 N038898cfe86e4e9eaae5cb3822c1db42 rdf:first sg:person.01005466367.92
    88 rdf:rest N6b768ecf8ad449b1b828d77cff08d036
    89 N103dd3f670574fc3923c469bca30753b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    90 schema:name Male
    91 rdf:type schema:DefinedTerm
    92 N12a0d0bec06845f19459e12af3f0c707 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Gene Amplification
    94 rdf:type schema:DefinedTerm
    95 N15cf6a6db227416b8cd3b75d7ffa6a40 rdf:first sg:person.01133157076.16
    96 rdf:rest Nc1323651c6d54667924cf0d366677556
    97 N1f4035fcd0034fbcacbd4d8f62d205a2 rdf:first sg:person.01204037144.69
    98 rdf:rest N82eb8793b4454e62bdd97cf8442a379e
    99 N21dc8125e10646e5a17a2b02949e60f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Stomach Neoplasms
    101 rdf:type schema:DefinedTerm
    102 N23089ef1bdb6444f9db4b4575ac39a83 rdf:first sg:person.01021126664.98
    103 rdf:rest N7df9e708d19c44249896bcda6b670240
    104 N244d4b20ae3049b99c8bb9668978c303 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Comparative Genomic Hybridization
    106 rdf:type schema:DefinedTerm
    107 N255f59c2158f47f0b496d7bb53d12d5d rdf:first sg:person.0641174201.04
    108 rdf:rest Nf79096492acb4109984d7f04070527e9
    109 N2a1acbd54b7a4e2c895e4b0fd1f07c70 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    110 rdf:type schema:Organization
    111 N2b4cc5581f804386a07ab6e065d8ccaa schema:volumeNumber 19
    112 rdf:type schema:PublicationVolume
    113 N2b99d64f2b1047f1980ff84337bd1b2e schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    114 rdf:type schema:Organization
    115 N3768bca84ca24dc7863afe816bf9075f schema:name dimensions_id
    116 schema:value pub.1005233594
    117 rdf:type schema:PropertyValue
    118 N37a7e2033ce246fd8fa7e30bd75b8333 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Osteoprotegerin
    120 rdf:type schema:DefinedTerm
    121 N4446dcf41d6a437389a64d77880eea25 schema:name Springer Nature - SN SciGraph project
    122 rdf:type schema:Organization
    123 N4adc9a5009c04012b80c9911fa67a9c0 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    124 rdf:type schema:Organization
    125 N4c698634ce4545208720b8c3f5f5da39 rdf:first sg:person.01022571576.54
    126 rdf:rest rdf:nil
    127 N4eaf02069a9f4cf79c36b977e75a410c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    128 schema:name Aged, 80 and over
    129 rdf:type schema:DefinedTerm
    130 N5904f90fb5014509b1c6c4fa294eb594 rdf:first sg:person.013663110714.00
    131 rdf:rest N15cf6a6db227416b8cd3b75d7ffa6a40
    132 N608cba45977f4864a683b0d69a2abc7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    133 schema:name Survival Analysis
    134 rdf:type schema:DefinedTerm
    135 N60bdaae5448045f6a7c7dad4ddbc9dd0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    136 schema:name Aged
    137 rdf:type schema:DefinedTerm
    138 N617362e0ef6d49ccb14b830f60e14727 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    139 schema:name Chromosomes, Human, Pair 8
    140 rdf:type schema:DefinedTerm
    141 N62c716dfab8540a68bbb9f7406f3d7a2 schema:name readcube_id
    142 schema:value 18ef2d2c5dfd34cb01633792a9d13a48695e56f64788692c231751ea037fd390
    143 rdf:type schema:PropertyValue
    144 N671bad6d442143b89ec0ed8aee92b563 rdf:first sg:person.01114731271.26
    145 rdf:rest N23089ef1bdb6444f9db4b4575ac39a83
    146 N6b768ecf8ad449b1b828d77cff08d036 rdf:first sg:person.0626755231.70
    147 rdf:rest N4c698634ce4545208720b8c3f5f5da39
    148 N7df9e708d19c44249896bcda6b670240 rdf:first sg:person.01203470464.12
    149 rdf:rest N1f4035fcd0034fbcacbd4d8f62d205a2
    150 N80c7af6d721f43f8ba08f315f8ad6777 rdf:first sg:person.0705203600.96
    151 rdf:rest Nd99a4c9facdb4738b47556c77dabcf83
    152 N80de5eedaf3840f19536c692844e6177 schema:issueNumber 1
    153 rdf:type schema:PublicationIssue
    154 N82eb8793b4454e62bdd97cf8442a379e rdf:first sg:person.01135355264.49
    155 rdf:rest N80c7af6d721f43f8ba08f315f8ad6777
    156 N8316939d513843ddabfb7a7ec9e2459e schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    157 rdf:type schema:Organization
    158 N9044c57524544be1a46a899290f1ac94 schema:name Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China
    159 rdf:type schema:Organization
    160 N90c6c4f6e4d543d1b9e4b425ceb73da4 schema:name Department of Pathology, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    161 rdf:type schema:Organization
    162 N948b29b115fe4c70b7e532fa1470b332 rdf:first sg:person.0725652430.11
    163 rdf:rest Nf8842d8ad5c74802b743d0b1da431aa1
    164 N9813e8660d0b4534a53d82d7412021f4 rdf:first sg:person.0613517364.54
    165 rdf:rest N255f59c2158f47f0b496d7bb53d12d5d
    166 Na30b156eb74c44f0958f0d938403c7aa schema:name Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    167 rdf:type schema:Organization
    168 Na33dcc16663a4b4c8c0f364ff1ce03cd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    169 schema:name Humans
    170 rdf:type schema:DefinedTerm
    171 Na65ac7530d794a85b9ebb513f395a137 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    172 rdf:type schema:Organization
    173 Na882826d05f84b498010c92a1baead04 schema:name Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    174 rdf:type schema:Organization
    175 Na903a95efa9143748003633af3571d26 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    176 rdf:type schema:Organization
    177 Na9e77dbe53df4605afbfc874a51d5404 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    178 schema:name Adult
    179 rdf:type schema:DefinedTerm
    180 Nacc943d5d7a84533911d83e04b7a550a schema:name Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China
    181 rdf:type schema:Organization
    182 Nad80da118cb64554aeb8a13322d7971f schema:name doi
    183 schema:value 10.1007/s10120-015-0467-2
    184 rdf:type schema:PropertyValue
    185 Nb4a3e755d9544a9ca6bcf238fc01cf0d schema:name Department of Pathology, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    186 rdf:type schema:Organization
    187 Nb4aa5c5fabf240609fbc0e0a5522b7d3 schema:name pubmed_id
    188 schema:value 25618371
    189 rdf:type schema:PropertyValue
    190 Nc0ce62d627c747a496b2ab6c5e279fac schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    191 rdf:type schema:Organization
    192 Nc1323651c6d54667924cf0d366677556 rdf:first sg:person.0704700264.42
    193 rdf:rest N9813e8660d0b4534a53d82d7412021f4
    194 Nc3cc95fd15cd4b62a705146d13966ff1 rdf:first sg:person.0753013464.68
    195 rdf:rest N948b29b115fe4c70b7e532fa1470b332
    196 Nc5e73a37942b4ab18e3e32f58418bf5b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    197 schema:name Genes, myc
    198 rdf:type schema:DefinedTerm
    199 Nc8db3c6859d44ef780493cb20242539c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    200 schema:name Gene Dosage
    201 rdf:type schema:DefinedTerm
    202 Ncb44cfc9f7274c4e9ffc7a84b778bc23 schema:name Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China
    203 rdf:type schema:Organization
    204 Nce026d4eca7746cab83caf428fe9ae8b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    205 schema:name Middle Aged
    206 rdf:type schema:DefinedTerm
    207 Nd2f6ad64ec4a481eb59ab64cccd15941 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    208 rdf:type schema:Organization
    209 Nd4d8504fe7e74b2c9da8abaed12d2a17 schema:name Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Department of Tissue Bank, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    210 rdf:type schema:Organization
    211 Nd95e69ff355f4dc1a7a6ad45aeda17a8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    212 schema:name Prognosis
    213 rdf:type schema:DefinedTerm
    214 Nd99a4c9facdb4738b47556c77dabcf83 rdf:first sg:person.01033033374.08
    215 rdf:rest N5904f90fb5014509b1c6c4fa294eb594
    216 Ndcdbcfb28b4f4d5c93ad2d5911b72e2d schema:name nlm_unique_id
    217 schema:value 100886238
    218 rdf:type schema:PropertyValue
    219 Ndf65f0c839224ba6966ce1eed78821ec rdf:first sg:person.01012063220.48
    220 rdf:rest N038898cfe86e4e9eaae5cb3822c1db42
    221 Ne1ebf39906694f709ebc6a97547fdb73 schema:name Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China
    222 rdf:type schema:Organization
    223 Ne42cab66a32f4c6f8b8c4b94d708228f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    224 schema:name Cohort Studies
    225 rdf:type schema:DefinedTerm
    226 Ne48aa4d65ba643ba90a31fac75d756bc schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    227 rdf:type schema:Organization
    228 Ne79be7d508944c6ca31fd33ad6c76682 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    229 rdf:type schema:Organization
    230 Ne85f6169bc5843b6858a122300701699 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    231 schema:name Female
    232 rdf:type schema:DefinedTerm
    233 Neabf297cac6142b0999f980c1d8edd06 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    234 rdf:type schema:Organization
    235 Nead2b9e629094701b5c850aa0179fbd8 schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    236 rdf:type schema:Organization
    237 Nf3a425a9556b48de9dc5be612a2e3e9a rdf:first sg:person.01016050612.82
    238 rdf:rest Nfb5fa91ca3bc468fba1d37eafd7b826b
    239 Nf79096492acb4109984d7f04070527e9 rdf:first sg:person.01305012320.41
    240 rdf:rest Ndf65f0c839224ba6966ce1eed78821ec
    241 Nf8842d8ad5c74802b743d0b1da431aa1 rdf:first sg:person.0701342500.26
    242 rdf:rest N015d1e9551024fc5a2a4daf0559e52b6
    243 Nfb5fa91ca3bc468fba1d37eafd7b826b rdf:first sg:person.01223515652.34
    244 rdf:rest N671bad6d442143b89ec0ed8aee92b563
    245 Nfc47f4a88fc14479a62323739c6cbb12 schema:name Asia and Emerging Markets Innovative Medicine, AstraZeneca R&D, 201203, Shanghai, China
    246 rdf:type schema:Organization
    247 Nfddee617612f40c6b958637e228dfa4c schema:name Department of Surgery, Peking University Cancer Hospital and Institute, 100142, Beijing, China
    248 rdf:type schema:Organization
    249 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    250 schema:name Medical and Health Sciences
    251 rdf:type schema:DefinedTerm
    252 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    253 schema:name Oncology and Carcinogenesis
    254 rdf:type schema:DefinedTerm
    255 sg:grant.7013697 http://pending.schema.org/fundedItem sg:pub.10.1007/s10120-015-0467-2
    256 rdf:type schema:MonetaryGrant
    257 sg:journal.1020959 schema:issn 1436-3291
    258 1436-3305
    259 schema:name Gastric Cancer
    260 rdf:type schema:Periodical
    261 sg:person.01005466367.92 schema:affiliation Na903a95efa9143748003633af3571d26
    262 schema:familyName Wen
    263 schema:givenName Xian-zi
    264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01005466367.92
    265 rdf:type schema:Person
    266 sg:person.01012063220.48 schema:affiliation Nfc47f4a88fc14479a62323739c6cbb12
    267 schema:familyName Ji
    268 schema:givenName Qunsheng
    269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01012063220.48
    270 rdf:type schema:Person
    271 sg:person.01016050612.82 schema:affiliation Ncb44cfc9f7274c4e9ffc7a84b778bc23
    272 schema:familyName Dong
    273 schema:givenName Zhengwei
    274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016050612.82
    275 rdf:type schema:Person
    276 sg:person.01021126664.98 schema:affiliation N2a1acbd54b7a4e2c895e4b0fd1f07c70
    277 schema:familyName Cheng
    278 schema:givenName Xiaojing
    279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01021126664.98
    280 rdf:type schema:Person
    281 sg:person.01022571576.54 schema:affiliation Nfddee617612f40c6b958637e228dfa4c
    282 schema:familyName Ji
    283 schema:givenName Jia-fu
    284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01022571576.54
    285 rdf:type schema:Person
    286 sg:person.01033033374.08 schema:affiliation N90c6c4f6e4d543d1b9e4b425ceb73da4
    287 schema:familyName Dong
    288 schema:givenName Bin
    289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033033374.08
    290 rdf:type schema:Person
    291 sg:person.01114731271.26 schema:affiliation N4adc9a5009c04012b80c9911fa67a9c0
    292 schema:familyName Xing
    293 schema:givenName Xiaofang
    294 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114731271.26
    295 rdf:type schema:Person
    296 sg:person.01132277212.11 schema:affiliation Ne1ebf39906694f709ebc6a97547fdb73
    297 schema:familyName Qian
    298 schema:givenName Ziliang
    299 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132277212.11
    300 rdf:type schema:Person
    301 sg:person.01133157076.16 schema:affiliation Nead2b9e629094701b5c850aa0179fbd8
    302 schema:familyName Wu
    303 schema:givenName Aiwen
    304 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133157076.16
    305 rdf:type schema:Person
    306 sg:person.01135355264.49 schema:affiliation Na882826d05f84b498010c92a1baead04
    307 schema:familyName Li
    308 schema:givenName Yingai
    309 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01135355264.49
    310 rdf:type schema:Person
    311 sg:person.01203470464.12 schema:affiliation Na65ac7530d794a85b9ebb513f395a137
    312 schema:familyName Du
    313 schema:givenName Hong
    314 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203470464.12
    315 rdf:type schema:Person
    316 sg:person.01204037144.69 schema:affiliation Nd4d8504fe7e74b2c9da8abaed12d2a17
    317 schema:familyName Hu
    318 schema:givenName Ying
    319 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204037144.69
    320 rdf:type schema:Person
    321 sg:person.01223515652.34 schema:affiliation Nacc943d5d7a84533911d83e04b7a550a
    322 schema:familyName Sun
    323 schema:givenName Yun
    324 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223515652.34
    325 rdf:type schema:Person
    326 sg:person.01305012320.41 schema:affiliation N9044c57524544be1a46a899290f1ac94
    327 schema:familyName Zhu
    328 schema:givenName Guanshan
    329 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305012320.41
    330 rdf:type schema:Person
    331 sg:person.013663110714.00 schema:affiliation Ne79be7d508944c6ca31fd33ad6c76682
    332 schema:familyName Li
    333 schema:givenName Ziyu
    334 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013663110714.00
    335 rdf:type schema:Person
    336 sg:person.0613517364.54 schema:affiliation N8316939d513843ddabfb7a7ec9e2459e
    337 schema:familyName Bu
    338 schema:givenName Zhaode
    339 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0613517364.54
    340 rdf:type schema:Person
    341 sg:person.0626755231.70 schema:affiliation Nd2f6ad64ec4a481eb59ab64cccd15941
    342 schema:familyName Zhang
    343 schema:givenName Lian-hai
    344 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626755231.70
    345 rdf:type schema:Person
    346 sg:person.0641174201.04 schema:affiliation Neabf297cac6142b0999f980c1d8edd06
    347 schema:familyName Zong
    348 schema:givenName Xianglong
    349 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641174201.04
    350 rdf:type schema:Person
    351 sg:person.0701342500.26 schema:affiliation Nc0ce62d627c747a496b2ab6c5e279fac
    352 schema:familyName Shao
    353 schema:givenName Duanfang
    354 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0701342500.26
    355 rdf:type schema:Person
    356 sg:person.0704700264.42 schema:affiliation Ne48aa4d65ba643ba90a31fac75d756bc
    357 schema:familyName Wu
    358 schema:givenName Xiaojiang
    359 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704700264.42
    360 rdf:type schema:Person
    361 sg:person.0705203600.96 schema:affiliation N2b99d64f2b1047f1980ff84337bd1b2e
    362 schema:familyName Li
    363 schema:givenName Lin
    364 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705203600.96
    365 rdf:type schema:Person
    366 sg:person.0725652430.11 schema:affiliation Nb4a3e755d9544a9ca6bcf238fc01cf0d
    367 schema:familyName Liu
    368 schema:givenName Yiqiang
    369 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0725652430.11
    370 rdf:type schema:Person
    371 sg:person.0753013464.68 schema:affiliation Na30b156eb74c44f0958f0d938403c7aa
    372 schema:familyName Wang
    373 schema:givenName Xiaohong
    374 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753013464.68
    375 rdf:type schema:Person
    376 sg:pub.10.1007/s00428-003-0845-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033765951
    377 https://doi.org/10.1007/s00428-003-0845-8
    378 rdf:type schema:CreativeWork
    379 sg:pub.10.1007/s10549-005-2419-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008264217
    380 https://doi.org/10.1007/s10549-005-2419-8
    381 rdf:type schema:CreativeWork
    382 sg:pub.10.1007/s11010-010-0536-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010578723
    383 https://doi.org/10.1007/s11010-010-0536-0
    384 rdf:type schema:CreativeWork
    385 sg:pub.10.1023/b:brea.0000036900.48763.b3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022591624
    386 https://doi.org/10.1023/b:brea.0000036900.48763.b3
    387 rdf:type schema:CreativeWork
    388 sg:pub.10.1038/modpathol.3800593 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048059529
    389 https://doi.org/10.1038/modpathol.3800593
    390 rdf:type schema:CreativeWork
    391 sg:pub.10.1038/nbt1236 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037539567
    392 https://doi.org/10.1038/nbt1236
    393 rdf:type schema:CreativeWork
    394 sg:pub.10.1038/sj.bjc.6600969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027201309
    395 https://doi.org/10.1038/sj.bjc.6600969
    396 rdf:type schema:CreativeWork
    397 sg:pub.10.1038/sj.bjc.6604556 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030629795
    398 https://doi.org/10.1038/sj.bjc.6604556
    399 rdf:type schema:CreativeWork
    400 sg:pub.10.1186/1471-2164-13-326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023869355
    401 https://doi.org/10.1186/1471-2164-13-326
    402 rdf:type schema:CreativeWork
    403 sg:pub.10.1186/1471-230x-13-141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022863719
    404 https://doi.org/10.1186/1471-230x-13-141
    405 rdf:type schema:CreativeWork
    406 sg:pub.10.1186/1750-1172-8-181 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037883991
    407 https://doi.org/10.1186/1750-1172-8-181
    408 rdf:type schema:CreativeWork
    409 sg:pub.10.1186/1757-2215-5-34 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000742849
    410 https://doi.org/10.1186/1757-2215-5-34
    411 rdf:type schema:CreativeWork
    412 https://app.dimensions.ai/details/publication/pub.1078687279 schema:CreativeWork
    413 https://doi.org/10.1002/cncr.21978 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022542032
    414 rdf:type schema:CreativeWork
    415 https://doi.org/10.1002/cncr.27607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011529011
    416 rdf:type schema:CreativeWork
    417 https://doi.org/10.1002/gcc.1166 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001917499
    418 rdf:type schema:CreativeWork
    419 https://doi.org/10.1002/jso.21585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000622210
    420 rdf:type schema:CreativeWork
    421 https://doi.org/10.1002/path.1459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013136737
    422 rdf:type schema:CreativeWork
    423 https://doi.org/10.1002/path.2424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025694785
    424 rdf:type schema:CreativeWork
    425 https://doi.org/10.1002/path.2686 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024220986
    426 rdf:type schema:CreativeWork
    427 https://doi.org/10.1016/j.arcmed.2009.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024568108
    428 rdf:type schema:CreativeWork
    429 https://doi.org/10.1016/j.cancergencyto.2005.01.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050711863
    430 rdf:type schema:CreativeWork
    431 https://doi.org/10.1016/s0140-6736(11)61941-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023440562
    432 rdf:type schema:CreativeWork
    433 https://doi.org/10.1042/cs20050175 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049942278
    434 rdf:type schema:CreativeWork
    435 https://doi.org/10.1053/j.gastro.2011.12.039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041961860
    436 rdf:type schema:CreativeWork
    437 https://doi.org/10.1093/carcin/bgr228 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044337028
    438 rdf:type schema:CreativeWork
    439 https://doi.org/10.1111/j.1349-7006.2005.00016.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018762388
    440 rdf:type schema:CreativeWork
    441 https://doi.org/10.1111/j.1349-7006.2010.01500.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1009486050
    442 rdf:type schema:CreativeWork
    443 https://doi.org/10.1111/j.1440-1746.2009.06191.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019685538
    444 rdf:type schema:CreativeWork
    445 https://doi.org/10.1155/2004/454238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042544156
    446 rdf:type schema:CreativeWork
    447 https://doi.org/10.1155/2011/631268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024864399
    448 rdf:type schema:CreativeWork
    449 https://doi.org/10.1158/1078-0432.ccr-05-1977 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004152286
    450 rdf:type schema:CreativeWork
    451 https://doi.org/10.1158/1078-0432.ccr-07-5019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003001472
    452 rdf:type schema:CreativeWork
    453 https://doi.org/10.1158/1078-0432.ccr-09-1423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001878004
    454 rdf:type schema:CreativeWork
    455 https://doi.org/10.1309/ajcp1boutwf6erys schema:sameAs https://app.dimensions.ai/details/publication/pub.1050908851
    456 rdf:type schema:CreativeWork
    457 https://doi.org/10.1371/journal.pone.0064420 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026995127
    458 rdf:type schema:CreativeWork
    459 https://doi.org/10.3346/jkms.2006.21.4.656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030393138
    460 rdf:type schema:CreativeWork
    461 https://doi.org/10.5230/jgc.2012.12.2.73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037623974
    462 rdf:type schema:CreativeWork
    463 https://doi.org/10.6004/jnccn.2013.0070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078728471
    464 rdf:type schema:CreativeWork
     




    Preview window. Press ESC to close (or click here)


    ...