Bladder cancer stage-associated hub genes revealed by WGCNA co-expression network analysis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Yu Di, Dongshan Chen, Wei Yu, Lei Yan

ABSTRACT

Background: Bladder cancer was a malignant disease in patients, our research aimed at discovering the possible biomarkers for the diseases. Results: The gene chip GSE31684, including 93samples, was downloaded from the GEO datasets and co-expression network was constructed by the data. Molecular complex detection(MCODE) was used to identify hub genes. The most significant cluster including 16 genes: CDH11, COL3A1, COL6A3, COL5A1, AEBP1, COL1A2, NTM, COL11A1, THBS2, COL8A1, COL1A1, BGN, MMP2, PXDN, THY1, and TGFB1I1 was identified. After annotated by BiNGO, they were suggested associated with collagen fibril organization and blood vessel development. In addition, the Kaplan Meier curves were obtained by UALCAN. The high expression of THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1, and TGFB1I1 indicated poor prognosis of the patients(P < 0.05). Finally, we examined genes' expression between low and high tumor stage by the Wilcoxon test(P < 0.05), TGFB1I1 was excluded. Conclusion: THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1 associated with the tumor stage as well as tumor patients' prognosis. COL5A1, COL8A1(P < 0.01) may serve as therapeutic targets for the disease. More... »

PAGES

7

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s41065-019-0083-y

DOI

http://dx.doi.org/10.1186/s41065-019-0083-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111748984

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30723390


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "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": "Oligonucleotide Array Sequence Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urinary Bladder Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Qilu Hospital of Shandong University", 
          "id": "https://www.grid.ac/institutes/grid.452402.5", 
          "name": [
            "Department of Urinary Surgery, Qilu Hospital, Jinan, Shandong province, China", 
            "Department laboratory of cardiovascular center of Shandong province, Jinan, Shandong province, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Di", 
        "givenName": "Yu", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qilu Hospital of Shandong University", 
          "id": "https://www.grid.ac/institutes/grid.452402.5", 
          "name": [
            "Department of Urinary Surgery, Qilu Hospital, Jinan, Shandong province, China", 
            "Department laboratory of cardiovascular center of Shandong province, Jinan, Shandong province, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Dongshan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lanzhou University", 
          "id": "https://www.grid.ac/institutes/grid.32566.34", 
          "name": [
            "Lanzhou medical college of Lanzhou University, Lanzhou, Gansu province, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Wei", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Qilu Hospital of Shandong University", 
          "id": "https://www.grid.ac/institutes/grid.452402.5", 
          "name": [
            "Department of Urinary Surgery, Qilu Hospital, Jinan, Shandong province, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yan", 
        "givenName": "Lei", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.eururo.2016.09.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003459445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-4-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013256259", 
          "https://doi.org/10.1186/1471-2105-4-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-4-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013256259", 
          "https://doi.org/10.1186/1471-2105-4-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ucl.2015.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014953911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471250953.bi0813s47", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015063588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/iub.151", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016811743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/dddt.s112113", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017285452"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-9-559", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020312314", 
          "https://doi.org/10.1186/1471-2105-9-559"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.11803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020337902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2202/1544-6115.1128", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020363278"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0608396103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027034100"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/bti551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032806326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pgen.0020130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035790850"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt439", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037069232"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5114/jcb.2014.43777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038181780"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.urology.2005.08.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041392648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-16-s3-s4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041831846", 
          "https://doi.org/10.1186/1471-2164-16-s3-s4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2015.08.037", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044399001"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fgene.2015.00174", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047437996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-11-2271", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053514460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbw139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053735895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bib/bbw139", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053735895"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/117693510700300022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077901890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/117693510700300022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077901890"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neo.2017.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090745274"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3233/blc-170119", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090921253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.19733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090938272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/551s33a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092574470", 
          "https://doi.org/10.1038/551s33a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/551s33a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092574470", 
          "https://doi.org/10.1038/551s33a"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fphys.2017.00947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1093044086"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.23805", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100155259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2018.04.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103627338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2018.04.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103627338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cbin.10979", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103636037"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2147/ott.s163891", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103981484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/carcin/bgy069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104169756"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1515/hukin-2017-0177", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104636309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.21492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1106916204"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3389/fonc.2018.00450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107574471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pharmthera.2018.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107728003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pharmthera.2018.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107728003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pharmthera.2018.10.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107728003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s40798-018-0161-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107776072", 
          "https://doi.org/10.1186/s40798-018-0161-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "Background: Bladder cancer was a malignant disease in patients, our research aimed at discovering the possible biomarkers for the diseases.\nResults: The gene chip GSE31684, including 93samples, was downloaded from the GEO datasets and co-expression network was constructed by the data. Molecular complex detection(MCODE) was used to identify hub genes. The most significant cluster including 16 genes: CDH11, COL3A1, COL6A3, COL5A1, AEBP1, COL1A2, NTM, COL11A1, THBS2, COL8A1, COL1A1, BGN, MMP2, PXDN, THY1, and TGFB1I1 was identified. After annotated by BiNGO, they were suggested associated with collagen fibril organization and blood vessel development. In addition, the Kaplan Meier curves were obtained by UALCAN. The high expression of THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1, and TGFB1I1 indicated poor prognosis of the patients(P\u2009<\u20090.05). Finally, we examined genes' expression between low and high tumor stage by the Wilcoxon test(P\u2009<\u20090.05), TGFB1I1 was excluded.\nConclusion: THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1 associated with the tumor stage as well as tumor patients' prognosis. COL5A1, COL8A1(P\u2009<\u20090.01) may serve as therapeutic targets for the disease.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s41065-019-0083-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017631", 
        "issn": [
          "0018-0661", 
          "1601-5223"
        ], 
        "name": "Hereditas", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "156"
      }
    ], 
    "name": "Bladder cancer stage-associated hub genes revealed by WGCNA co-expression network analysis", 
    "pagination": "7", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1bb241d3a020f5107a334e5e29dddacd111f792213e8fca8bf0b2cdb88cd31f2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30723390"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0374654"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s41065-019-0083-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111748984"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s41065-019-0083-y", 
      "https://app.dimensions.ai/details/publication/pub.1111748984"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:06", 
    "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/v90/0000000352_0000000352/records_60372_00000004.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs41065-019-0083-y"
  }
]
 

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.10.1186/s41065-019-0083-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s41065-019-0083-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s41065-019-0083-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s41065-019-0083-y'


 

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

239 TRIPLES      21 PREDICATES      74 URIs      30 LITERALS      18 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s41065-019-0083-y schema:about N6ef0200f35224c589eb26296b53fb276
2 Na3d82eeb9538446ab1879571d9b388c2
3 Na7fe52a03a2742a49a7e85f58c33b2e8
4 Nafeb8c02afe9430989a323120ec751e3
5 Nb3c2c89710eb454c8ee35a27f9398df8
6 Nc7d371c5836447a0a0e432b4cfb8c417
7 Nf72bd3a69eec43e59c7d68955d2d71d4
8 Nf7a56864e4c44d9c8645b0bf091f20da
9 Nfdaa8c4185af4a9a92efa095e8e6f2f2
10 anzsrc-for:11
11 anzsrc-for:1112
12 schema:author Nf71a89f902da498e8ca38a225226a6f3
13 schema:citation sg:pub.10.1038/551s33a
14 sg:pub.10.1186/1471-2105-4-2
15 sg:pub.10.1186/1471-2105-9-559
16 sg:pub.10.1186/1471-2164-16-s3-s4
17 sg:pub.10.1186/s40798-018-0161-0
18 https://doi.org/10.1002/0471250953.bi0813s47
19 https://doi.org/10.1002/cbin.10979
20 https://doi.org/10.1002/iub.151
21 https://doi.org/10.1016/j.eururo.2015.08.037
22 https://doi.org/10.1016/j.eururo.2016.09.035
23 https://doi.org/10.1016/j.gene.2018.04.066
24 https://doi.org/10.1016/j.neo.2017.05.002
25 https://doi.org/10.1016/j.pharmthera.2018.10.008
26 https://doi.org/10.1016/j.ucl.2015.02.003
27 https://doi.org/10.1016/j.urology.2005.08.065
28 https://doi.org/10.1073/pnas.0608396103
29 https://doi.org/10.1093/bib/bbw139
30 https://doi.org/10.1093/bioinformatics/bti551
31 https://doi.org/10.1093/carcin/bgy069
32 https://doi.org/10.1093/nar/gkt439
33 https://doi.org/10.1158/1078-0432.ccr-11-2271
34 https://doi.org/10.1177/117693510700300022
35 https://doi.org/10.1371/journal.pgen.0020130
36 https://doi.org/10.1515/hukin-2017-0177
37 https://doi.org/10.18632/oncotarget.11803
38 https://doi.org/10.18632/oncotarget.19733
39 https://doi.org/10.18632/oncotarget.23805
40 https://doi.org/10.2147/dddt.s112113
41 https://doi.org/10.2147/ott.s163891
42 https://doi.org/10.2202/1544-6115.1128
43 https://doi.org/10.3233/blc-170119
44 https://doi.org/10.3322/caac.21492
45 https://doi.org/10.3389/fgene.2015.00174
46 https://doi.org/10.3389/fonc.2018.00450
47 https://doi.org/10.3389/fphys.2017.00947
48 https://doi.org/10.5114/jcb.2014.43777
49 schema:datePublished 2019-12
50 schema:datePublishedReg 2019-12-01
51 schema:description Background: Bladder cancer was a malignant disease in patients, our research aimed at discovering the possible biomarkers for the diseases. Results: The gene chip GSE31684, including 93samples, was downloaded from the GEO datasets and co-expression network was constructed by the data. Molecular complex detection(MCODE) was used to identify hub genes. The most significant cluster including 16 genes: CDH11, COL3A1, COL6A3, COL5A1, AEBP1, COL1A2, NTM, COL11A1, THBS2, COL8A1, COL1A1, BGN, MMP2, PXDN, THY1, and TGFB1I1 was identified. After annotated by BiNGO, they were suggested associated with collagen fibril organization and blood vessel development. In addition, the Kaplan Meier curves were obtained by UALCAN. The high expression of THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1, and TGFB1I1 indicated poor prognosis of the patients(P < 0.05). Finally, we examined genes' expression between low and high tumor stage by the Wilcoxon test(P < 0.05), TGFB1I1 was excluded. Conclusion: THY1, AEBP1, CDH11, COL1A1, COL1A2, COL11A1, MMP2, PXDN, BGN, COL5A1, COL8A1 associated with the tumor stage as well as tumor patients' prognosis. COL5A1, COL8A1(P < 0.01) may serve as therapeutic targets for the disease.
52 schema:genre research_article
53 schema:inLanguage en
54 schema:isAccessibleForFree true
55 schema:isPartOf N0f4e8a1f82484f2a90bbff831115fb68
56 N8160b77e0bf24ae2af86b4fc26f6629e
57 sg:journal.1017631
58 schema:name Bladder cancer stage-associated hub genes revealed by WGCNA co-expression network analysis
59 schema:pagination 7
60 schema:productId N0b12c17d13f34d98b3854c0c532f7d5b
61 N0e74e74109df423680eb377049fd232d
62 N6c077c5a20034200b7737c76bcb29b8f
63 Nd407e2d9fabc4ef2a682cd445d03ceb3
64 Nfc4b33acf6b94756b6c9193b7262ad5c
65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111748984
66 https://doi.org/10.1186/s41065-019-0083-y
67 schema:sdDatePublished 2019-04-11T11:06
68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
69 schema:sdPublisher Nacbd9ff5b05747768426cffa015d3fdb
70 schema:url https://link.springer.com/10.1186%2Fs41065-019-0083-y
71 sgo:license sg:explorer/license/
72 sgo:sdDataset articles
73 rdf:type schema:ScholarlyArticle
74 N0b12c17d13f34d98b3854c0c532f7d5b schema:name doi
75 schema:value 10.1186/s41065-019-0083-y
76 rdf:type schema:PropertyValue
77 N0e74e74109df423680eb377049fd232d schema:name nlm_unique_id
78 schema:value 0374654
79 rdf:type schema:PropertyValue
80 N0f4e8a1f82484f2a90bbff831115fb68 schema:issueNumber 1
81 rdf:type schema:PublicationIssue
82 N3a6e7adc76364a16a5dbb156724ed29c rdf:first Nc7df618a97a44de4a499cffeeeb1454e
83 rdf:rest rdf:nil
84 N4f687f4bb3ff4c20a95b1a5732b55797 schema:affiliation https://www.grid.ac/institutes/grid.32566.34
85 schema:familyName Yu
86 schema:givenName Wei
87 rdf:type schema:Person
88 N6c077c5a20034200b7737c76bcb29b8f schema:name dimensions_id
89 schema:value pub.1111748984
90 rdf:type schema:PropertyValue
91 N6ef0200f35224c589eb26296b53fb276 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Middle Aged
93 rdf:type schema:DefinedTerm
94 N7d807452da314c0a92a51af5f70f44da rdf:first N951414ccaa174e8d925ceb5ae61ebc87
95 rdf:rest N9455a0fea30d46ad913d6047f60394b0
96 N8160b77e0bf24ae2af86b4fc26f6629e schema:volumeNumber 156
97 rdf:type schema:PublicationVolume
98 N8ac3efaa4cd24652a61c4c824d6fe8b6 schema:affiliation https://www.grid.ac/institutes/grid.452402.5
99 schema:familyName Di
100 schema:givenName Yu
101 rdf:type schema:Person
102 N9455a0fea30d46ad913d6047f60394b0 rdf:first N4f687f4bb3ff4c20a95b1a5732b55797
103 rdf:rest N3a6e7adc76364a16a5dbb156724ed29c
104 N951414ccaa174e8d925ceb5ae61ebc87 schema:affiliation https://www.grid.ac/institutes/grid.452402.5
105 schema:familyName Chen
106 schema:givenName Dongshan
107 rdf:type schema:Person
108 Na3d82eeb9538446ab1879571d9b388c2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Aged
110 rdf:type schema:DefinedTerm
111 Na7fe52a03a2742a49a7e85f58c33b2e8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Humans
113 rdf:type schema:DefinedTerm
114 Nacbd9ff5b05747768426cffa015d3fdb schema:name Springer Nature - SN SciGraph project
115 rdf:type schema:Organization
116 Nafeb8c02afe9430989a323120ec751e3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Oligonucleotide Array Sequence Analysis
118 rdf:type schema:DefinedTerm
119 Nb3c2c89710eb454c8ee35a27f9398df8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Biomarkers, Tumor
121 rdf:type schema:DefinedTerm
122 Nc7d371c5836447a0a0e432b4cfb8c417 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Survival Analysis
124 rdf:type schema:DefinedTerm
125 Nc7df618a97a44de4a499cffeeeb1454e schema:affiliation https://www.grid.ac/institutes/grid.452402.5
126 schema:familyName Yan
127 schema:givenName Lei
128 rdf:type schema:Person
129 Nd407e2d9fabc4ef2a682cd445d03ceb3 schema:name readcube_id
130 schema:value 1bb241d3a020f5107a334e5e29dddacd111f792213e8fca8bf0b2cdb88cd31f2
131 rdf:type schema:PropertyValue
132 Nf71a89f902da498e8ca38a225226a6f3 rdf:first N8ac3efaa4cd24652a61c4c824d6fe8b6
133 rdf:rest N7d807452da314c0a92a51af5f70f44da
134 Nf72bd3a69eec43e59c7d68955d2d71d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Female
136 rdf:type schema:DefinedTerm
137 Nf7a56864e4c44d9c8645b0bf091f20da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Urinary Bladder Neoplasms
139 rdf:type schema:DefinedTerm
140 Nfc4b33acf6b94756b6c9193b7262ad5c schema:name pubmed_id
141 schema:value 30723390
142 rdf:type schema:PropertyValue
143 Nfdaa8c4185af4a9a92efa095e8e6f2f2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Male
145 rdf:type schema:DefinedTerm
146 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
147 schema:name Medical and Health Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
150 schema:name Oncology and Carcinogenesis
151 rdf:type schema:DefinedTerm
152 sg:journal.1017631 schema:issn 0018-0661
153 1601-5223
154 schema:name Hereditas
155 rdf:type schema:Periodical
156 sg:pub.10.1038/551s33a schema:sameAs https://app.dimensions.ai/details/publication/pub.1092574470
157 https://doi.org/10.1038/551s33a
158 rdf:type schema:CreativeWork
159 sg:pub.10.1186/1471-2105-4-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013256259
160 https://doi.org/10.1186/1471-2105-4-2
161 rdf:type schema:CreativeWork
162 sg:pub.10.1186/1471-2105-9-559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020312314
163 https://doi.org/10.1186/1471-2105-9-559
164 rdf:type schema:CreativeWork
165 sg:pub.10.1186/1471-2164-16-s3-s4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041831846
166 https://doi.org/10.1186/1471-2164-16-s3-s4
167 rdf:type schema:CreativeWork
168 sg:pub.10.1186/s40798-018-0161-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107776072
169 https://doi.org/10.1186/s40798-018-0161-0
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1002/0471250953.bi0813s47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015063588
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1002/cbin.10979 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103636037
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1002/iub.151 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016811743
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1016/j.eururo.2015.08.037 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044399001
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1016/j.eururo.2016.09.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003459445
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1016/j.gene.2018.04.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103627338
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1016/j.neo.2017.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090745274
184 rdf:type schema:CreativeWork
185 https://doi.org/10.1016/j.pharmthera.2018.10.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107728003
186 rdf:type schema:CreativeWork
187 https://doi.org/10.1016/j.ucl.2015.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014953911
188 rdf:type schema:CreativeWork
189 https://doi.org/10.1016/j.urology.2005.08.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041392648
190 rdf:type schema:CreativeWork
191 https://doi.org/10.1073/pnas.0608396103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027034100
192 rdf:type schema:CreativeWork
193 https://doi.org/10.1093/bib/bbw139 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053735895
194 rdf:type schema:CreativeWork
195 https://doi.org/10.1093/bioinformatics/bti551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032806326
196 rdf:type schema:CreativeWork
197 https://doi.org/10.1093/carcin/bgy069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104169756
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1093/nar/gkt439 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037069232
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1158/1078-0432.ccr-11-2271 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053514460
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1177/117693510700300022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077901890
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1371/journal.pgen.0020130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035790850
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1515/hukin-2017-0177 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104636309
208 rdf:type schema:CreativeWork
209 https://doi.org/10.18632/oncotarget.11803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020337902
210 rdf:type schema:CreativeWork
211 https://doi.org/10.18632/oncotarget.19733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090938272
212 rdf:type schema:CreativeWork
213 https://doi.org/10.18632/oncotarget.23805 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100155259
214 rdf:type schema:CreativeWork
215 https://doi.org/10.2147/dddt.s112113 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017285452
216 rdf:type schema:CreativeWork
217 https://doi.org/10.2147/ott.s163891 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103981484
218 rdf:type schema:CreativeWork
219 https://doi.org/10.2202/1544-6115.1128 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020363278
220 rdf:type schema:CreativeWork
221 https://doi.org/10.3233/blc-170119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090921253
222 rdf:type schema:CreativeWork
223 https://doi.org/10.3322/caac.21492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1106916204
224 rdf:type schema:CreativeWork
225 https://doi.org/10.3389/fgene.2015.00174 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047437996
226 rdf:type schema:CreativeWork
227 https://doi.org/10.3389/fonc.2018.00450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107574471
228 rdf:type schema:CreativeWork
229 https://doi.org/10.3389/fphys.2017.00947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093044086
230 rdf:type schema:CreativeWork
231 https://doi.org/10.5114/jcb.2014.43777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038181780
232 rdf:type schema:CreativeWork
233 https://www.grid.ac/institutes/grid.32566.34 schema:alternateName Lanzhou University
234 schema:name Lanzhou medical college of Lanzhou University, Lanzhou, Gansu province, China
235 rdf:type schema:Organization
236 https://www.grid.ac/institutes/grid.452402.5 schema:alternateName Qilu Hospital of Shandong University
237 schema:name Department laboratory of cardiovascular center of Shandong province, Jinan, Shandong province, China
238 Department of Urinary Surgery, Qilu Hospital, Jinan, Shandong province, China
239 rdf:type schema:Organization
 




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


...