iTRAQ-based proteomic analysis of DMH-induced colorectal cancer in mice reveals the expressions of β-catenin, decorin, septin-7, and S100A10 expression in ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-02

AUTHORS

G. Liu, F. Fei, J. Qu, X. Wang, Y. Zhao, Y. Li, S. Zhang

ABSTRACT

PURPOSE: The aim of this study is to explore the roles of β-catenin, decorin, septin-7, and S100A10 expression in colorectal cancer development. METHODS: Twenty-five BALB/c mice were divided into five groups; four groups were administrated N,N-dimethylhydrazine for 0, 10, 15, and 20 weeks, and one group was administrated normal saline for 20 weeks. The colons were collected for histopathological analysis. Protein samples prepared from the frozen colon tissues of mice treated with N,N-dimethylhydrazine for the different time points were evaluated using the isobaric tags for relative and absolute quantification (iTRAQ) labeling technique coupled with the 2D liquid chromatography-tandem mass spectrometry analysis. Based on the proteomic analysis results, immunohistochemical staining of β-catenin, decorin, septin-7, and S100A10 was performed in paraffin-embedded mice colorectal tissue, and 53 cases of human hereditary polyposis colorectal cancer samples. RESULTS: Colorectal cancer was observed in mice treated with N,N-dimethylhydrazine for 20 weeks, and adenomas were observed in mice subjected to the 10-, and 15-week treatments. Seventy-two differentially expressed proteins were involved in the development of cancer as per the iTRAQ and spectrometry analysis. In normal epithelium, adenoma, and cancer from human hereditary polyposis colorectal cancer, S100A10 expression (c2 = 100.989, P = 0.000) was highest in cancer, whereas decorin (c2 = 12.852, P = 0.002) and septin-7 (c2 = 66.519, P = 0.002) expressions were highest in the normal epithelium, which was confirmed via immunohistochemical staining. CONCLUSIONS: The subcellular localization of β-catenin and decorin, septin-7, and S100A10 expressions are associated with the development of colorectal cancer in mice after N,N-dimethylhydrazine treatment and in human hereditary polyposis colorectal cancers. More... »

PAGES

1-12

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12094-018-1912-6

DOI

http://dx.doi.org/10.1007/s12094-018-1912-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105203729

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29956073


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Tianjin People's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417031.0", 
          "name": [
            "Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "G.", 
        "id": "sg:person.01312165332.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312165332.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nankai University", 
          "id": "https://www.grid.ac/institutes/grid.216938.7", 
          "name": [
            "Nankai University School of Medicine, Nankai University, 300071, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fei", 
        "givenName": "F.", 
        "id": "sg:person.01200261600.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200261600.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nankai University", 
          "id": "https://www.grid.ac/institutes/grid.216938.7", 
          "name": [
            "Nankai University School of Medicine, Nankai University, 300071, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qu", 
        "givenName": "J.", 
        "id": "sg:person.010033305663.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010033305663.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin University of Traditional Chinese Medicine", 
          "id": "https://www.grid.ac/institutes/grid.410648.f", 
          "name": [
            "Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People\u2019s Republic of China", 
            "Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "X.", 
        "id": "sg:person.015421063612.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015421063612.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin People's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417031.0", 
          "name": [
            "Department of General Surgery, Tianjin Union Medical Center, 300121, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhao", 
        "givenName": "Y.", 
        "id": "sg:person.0704007652.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704007652.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tianjin People's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.417031.0", 
          "name": [
            "Departments of Colorectal Surgery, Tianjin Union Medical Center, 300121, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Y.", 
        "id": "sg:person.07746375757.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07746375757.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Nankai University", 
          "id": "https://www.grid.ac/institutes/grid.216938.7", 
          "name": [
            "Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People\u2019s Republic of China", 
            "Nankai University School of Medicine, Nankai University, 300071, Tianjin, People\u2019s Republic of China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "S.", 
        "id": "sg:person.01270566675.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270566675.99"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.devcel.2004.12.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001887918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2009.1529", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002301684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.2009.20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003829989", 
          "https://doi.org/10.1038/labinvest.2009.20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.2009.20", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003829989", 
          "https://doi.org/10.1038/labinvest.2009.20"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.28319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010603647"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canlet.2012.08.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012197012"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-011-9157-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012523155", 
          "https://doi.org/10.1007/s12022-011-9157-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-011-9157-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012523155", 
          "https://doi.org/10.1007/s12022-011-9157-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12022-011-9157-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012523155", 
          "https://doi.org/10.1007/s12022-011-9157-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-08-0520", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013508887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/07357900801898664", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014839626"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.addr.2015.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018793476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.gene.2012.12.077", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019474370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2011/792362", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022263639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm3284", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023400186", 
          "https://doi.org/10.1038/nrm3284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1096-9861(20001211)428:2<223::aid-cne3>3.0.co;2-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024734878"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prp.2014.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025226509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.prp.2014.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025226509"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.10408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025634098"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/0008-5472.can-11-1748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028860902"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.canlet.2006.08.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037970020"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7314/apjcp.2016.17.1.289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046173118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7314/apjcp.2016.17.1.289", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046173118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10689-011-9451-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049198150", 
          "https://doi.org/10.1007/s10689-011-9451-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2015/376576", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051625676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2013.96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051752409", 
          "https://doi.org/10.1038/onc.2013.96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/onc.2013.96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051752409", 
          "https://doi.org/10.1038/onc.2013.96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11060-009-0092-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053429474", 
          "https://doi.org/10.1007/s11060-009-0092-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11060-009-0092-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053429474", 
          "https://doi.org/10.1007/s11060-009-0092-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1086/301883", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1058609480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2011.1353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071531466"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077463141", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20892/j.issn.2095-3941.2016.0088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084380959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12307-017-0195-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086304948", 
          "https://doi.org/10.1007/s12307-017-0195-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12307-017-0195-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086304948", 
          "https://doi.org/10.1007/s12307-017-0195-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/jca.19723", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090650291"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/etm.2017.4792", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090705597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.18632/oncotarget.20800", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091522592"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-02", 
    "datePublishedReg": "2019-02-01", 
    "description": "PURPOSE: The aim of this study is to explore the roles of \u03b2-catenin, decorin, septin-7, and S100A10 expression in colorectal cancer development.\nMETHODS: Twenty-five BALB/c mice were divided into five groups; four groups were administrated N,N-dimethylhydrazine for 0, 10, 15, and 20\u00a0weeks, and one group was administrated normal saline for 20\u00a0weeks. The colons were collected for histopathological analysis. Protein samples prepared from the frozen colon tissues of mice treated with N,N-dimethylhydrazine for the different time points were evaluated using the isobaric tags for relative and absolute quantification (iTRAQ) labeling technique coupled with the 2D liquid chromatography-tandem mass spectrometry analysis. Based on the proteomic analysis results, immunohistochemical staining of \u03b2-catenin, decorin, septin-7, and S100A10 was performed in paraffin-embedded mice colorectal tissue, and 53 cases of human hereditary polyposis colorectal cancer samples.\nRESULTS: Colorectal cancer was observed in mice treated with N,N-dimethylhydrazine for 20\u00a0weeks, and adenomas were observed in mice subjected to the 10-, and 15-week treatments. Seventy-two differentially expressed proteins were involved in the development of cancer as per the iTRAQ and spectrometry analysis. In normal epithelium, adenoma, and cancer from human hereditary polyposis colorectal cancer, S100A10 expression (c2\u2009=\u2009100.989, P\u2009=\u20090.000) was highest in cancer, whereas decorin (c2\u2009=\u200912.852, P\u2009=\u20090.002) and septin-7 (c2\u2009=\u200966.519, P\u2009=\u20090.002) expressions were highest in the normal epithelium, which was confirmed via immunohistochemical staining.\nCONCLUSIONS: The subcellular localization of \u03b2-catenin and decorin, septin-7, and S100A10 expressions are associated with the development of colorectal cancer in mice after N,N-dimethylhydrazine treatment and in human hereditary polyposis colorectal cancers.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12094-018-1912-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1035367", 
        "issn": [
          "1699-048X", 
          "1699-3055"
        ], 
        "name": "Clinical and Translational Oncology", 
        "type": "Periodical"
      }
    ], 
    "name": "iTRAQ-based proteomic analysis of DMH-induced colorectal cancer in mice reveals the expressions of \u03b2-catenin, decorin, septin-7, and S100A10 expression in 53 cases of human hereditary polyposis colorectal cancer", 
    "pagination": "1-12", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "c22d6bc808994cebed6b58c236554911b412c8ef5577eba13e8716fcf5fa5857"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29956073"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101247119"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12094-018-1912-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105203729"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12094-018-1912-6", 
      "https://app.dimensions.ai/details/publication/pub.1105203729"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:46", 
    "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_8687_00000562.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs12094-018-1912-6"
  }
]
 

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/s12094-018-1912-6'

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/s12094-018-1912-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12094-018-1912-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12094-018-1912-6'


 

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

211 TRIPLES      21 PREDICATES      57 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12094-018-1912-6 schema:about anzsrc-for:11
2 anzsrc-for:1112
3 schema:author Nf9624d21458e43c69e976b832f678795
4 schema:citation sg:pub.10.1007/s10689-011-9451-0
5 sg:pub.10.1007/s11060-009-0092-1
6 sg:pub.10.1007/s12022-011-9157-8
7 sg:pub.10.1007/s12307-017-0195-8
8 sg:pub.10.1038/labinvest.2009.20
9 sg:pub.10.1038/nrm3284
10 sg:pub.10.1038/onc.2013.96
11 https://app.dimensions.ai/details/publication/pub.1077463141
12 https://doi.org/10.1001/jama.2009.1529
13 https://doi.org/10.1002/1096-9861(20001211)428:2<223::aid-cne3>3.0.co;2-m
14 https://doi.org/10.1002/ijc.28319
15 https://doi.org/10.1016/j.addr.2015.10.016
16 https://doi.org/10.1016/j.canlet.2006.08.016
17 https://doi.org/10.1016/j.canlet.2012.08.004
18 https://doi.org/10.1016/j.devcel.2004.12.005
19 https://doi.org/10.1016/j.gene.2012.12.077
20 https://doi.org/10.1016/j.prp.2014.02.009
21 https://doi.org/10.1080/07357900801898664
22 https://doi.org/10.1086/301883
23 https://doi.org/10.1155/2011/792362
24 https://doi.org/10.1155/2015/376576
25 https://doi.org/10.1158/0008-5472.can-11-1748
26 https://doi.org/10.1158/1078-0432.ccr-08-0520
27 https://doi.org/10.18632/oncotarget.10408
28 https://doi.org/10.18632/oncotarget.20800
29 https://doi.org/10.20892/j.issn.2095-3941.2016.0088
30 https://doi.org/10.3892/etm.2017.4792
31 https://doi.org/10.3892/or.2011.1353
32 https://doi.org/10.7150/jca.19723
33 https://doi.org/10.7314/apjcp.2016.17.1.289
34 schema:datePublished 2019-02
35 schema:datePublishedReg 2019-02-01
36 schema:description PURPOSE: The aim of this study is to explore the roles of β-catenin, decorin, septin-7, and S100A10 expression in colorectal cancer development. METHODS: Twenty-five BALB/c mice were divided into five groups; four groups were administrated N,N-dimethylhydrazine for 0, 10, 15, and 20 weeks, and one group was administrated normal saline for 20 weeks. The colons were collected for histopathological analysis. Protein samples prepared from the frozen colon tissues of mice treated with N,N-dimethylhydrazine for the different time points were evaluated using the isobaric tags for relative and absolute quantification (iTRAQ) labeling technique coupled with the 2D liquid chromatography-tandem mass spectrometry analysis. Based on the proteomic analysis results, immunohistochemical staining of β-catenin, decorin, septin-7, and S100A10 was performed in paraffin-embedded mice colorectal tissue, and 53 cases of human hereditary polyposis colorectal cancer samples. RESULTS: Colorectal cancer was observed in mice treated with N,N-dimethylhydrazine for 20 weeks, and adenomas were observed in mice subjected to the 10-, and 15-week treatments. Seventy-two differentially expressed proteins were involved in the development of cancer as per the iTRAQ and spectrometry analysis. In normal epithelium, adenoma, and cancer from human hereditary polyposis colorectal cancer, S100A10 expression (c2 = 100.989, P = 0.000) was highest in cancer, whereas decorin (c2 = 12.852, P = 0.002) and septin-7 (c2 = 66.519, P = 0.002) expressions were highest in the normal epithelium, which was confirmed via immunohistochemical staining. CONCLUSIONS: The subcellular localization of β-catenin and decorin, septin-7, and S100A10 expressions are associated with the development of colorectal cancer in mice after N,N-dimethylhydrazine treatment and in human hereditary polyposis colorectal cancers.
37 schema:genre research_article
38 schema:inLanguage en
39 schema:isAccessibleForFree false
40 schema:isPartOf sg:journal.1035367
41 schema:name iTRAQ-based proteomic analysis of DMH-induced colorectal cancer in mice reveals the expressions of β-catenin, decorin, septin-7, and S100A10 expression in 53 cases of human hereditary polyposis colorectal cancer
42 schema:pagination 1-12
43 schema:productId N2034791935974d2fa357c3aba48d2cdf
44 N364f40c66bb345f2a21f17c72dd24931
45 N8152ef92f843440eb64e0cea5f6b3e94
46 Nd26adac83b884666b96abb5f8584edbb
47 Nf20cbe445f8a4d06aafd0b503fda4815
48 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105203729
49 https://doi.org/10.1007/s12094-018-1912-6
50 schema:sdDatePublished 2019-04-10T21:46
51 schema:sdLicense https://scigraph.springernature.com/explorer/license/
52 schema:sdPublisher N7eb586bed1ff4367bd972d22a9b26ae9
53 schema:url https://link.springer.com/10.1007%2Fs12094-018-1912-6
54 sgo:license sg:explorer/license/
55 sgo:sdDataset articles
56 rdf:type schema:ScholarlyArticle
57 N2034791935974d2fa357c3aba48d2cdf schema:name dimensions_id
58 schema:value pub.1105203729
59 rdf:type schema:PropertyValue
60 N364f40c66bb345f2a21f17c72dd24931 schema:name readcube_id
61 schema:value c22d6bc808994cebed6b58c236554911b412c8ef5577eba13e8716fcf5fa5857
62 rdf:type schema:PropertyValue
63 N7eb586bed1ff4367bd972d22a9b26ae9 schema:name Springer Nature - SN SciGraph project
64 rdf:type schema:Organization
65 N8152ef92f843440eb64e0cea5f6b3e94 schema:name doi
66 schema:value 10.1007/s12094-018-1912-6
67 rdf:type schema:PropertyValue
68 N9b96a37aa37d4684bf0e389884568b43 rdf:first sg:person.01200261600.17
69 rdf:rest Ne942bd30da834d14a0262072f0fc2ef9
70 Na01ef0dc0b9c4368bd885394b8412316 rdf:first sg:person.0704007652.72
71 rdf:rest Nff2396a3cecb40719ef0f85bb1ae60f4
72 Na3427bc3d4514461b9a7a3ef1cc66702 rdf:first sg:person.015421063612.23
73 rdf:rest Na01ef0dc0b9c4368bd885394b8412316
74 Nd26adac83b884666b96abb5f8584edbb schema:name nlm_unique_id
75 schema:value 101247119
76 rdf:type schema:PropertyValue
77 Ne942bd30da834d14a0262072f0fc2ef9 rdf:first sg:person.010033305663.03
78 rdf:rest Na3427bc3d4514461b9a7a3ef1cc66702
79 Necdfd583489946518e83b095873c2281 rdf:first sg:person.01270566675.99
80 rdf:rest rdf:nil
81 Nf20cbe445f8a4d06aafd0b503fda4815 schema:name pubmed_id
82 schema:value 29956073
83 rdf:type schema:PropertyValue
84 Nf9624d21458e43c69e976b832f678795 rdf:first sg:person.01312165332.66
85 rdf:rest N9b96a37aa37d4684bf0e389884568b43
86 Nff2396a3cecb40719ef0f85bb1ae60f4 rdf:first sg:person.07746375757.44
87 rdf:rest Necdfd583489946518e83b095873c2281
88 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
89 schema:name Medical and Health Sciences
90 rdf:type schema:DefinedTerm
91 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
92 schema:name Oncology and Carcinogenesis
93 rdf:type schema:DefinedTerm
94 sg:journal.1035367 schema:issn 1699-048X
95 1699-3055
96 schema:name Clinical and Translational Oncology
97 rdf:type schema:Periodical
98 sg:person.010033305663.03 schema:affiliation https://www.grid.ac/institutes/grid.216938.7
99 schema:familyName Qu
100 schema:givenName J.
101 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010033305663.03
102 rdf:type schema:Person
103 sg:person.01200261600.17 schema:affiliation https://www.grid.ac/institutes/grid.216938.7
104 schema:familyName Fei
105 schema:givenName F.
106 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01200261600.17
107 rdf:type schema:Person
108 sg:person.01270566675.99 schema:affiliation https://www.grid.ac/institutes/grid.216938.7
109 schema:familyName Zhang
110 schema:givenName S.
111 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01270566675.99
112 rdf:type schema:Person
113 sg:person.01312165332.66 schema:affiliation https://www.grid.ac/institutes/grid.417031.0
114 schema:familyName Liu
115 schema:givenName G.
116 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01312165332.66
117 rdf:type schema:Person
118 sg:person.015421063612.23 schema:affiliation https://www.grid.ac/institutes/grid.410648.f
119 schema:familyName Wang
120 schema:givenName X.
121 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015421063612.23
122 rdf:type schema:Person
123 sg:person.0704007652.72 schema:affiliation https://www.grid.ac/institutes/grid.417031.0
124 schema:familyName Zhao
125 schema:givenName Y.
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704007652.72
127 rdf:type schema:Person
128 sg:person.07746375757.44 schema:affiliation https://www.grid.ac/institutes/grid.417031.0
129 schema:familyName Li
130 schema:givenName Y.
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07746375757.44
132 rdf:type schema:Person
133 sg:pub.10.1007/s10689-011-9451-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049198150
134 https://doi.org/10.1007/s10689-011-9451-0
135 rdf:type schema:CreativeWork
136 sg:pub.10.1007/s11060-009-0092-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053429474
137 https://doi.org/10.1007/s11060-009-0092-1
138 rdf:type schema:CreativeWork
139 sg:pub.10.1007/s12022-011-9157-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012523155
140 https://doi.org/10.1007/s12022-011-9157-8
141 rdf:type schema:CreativeWork
142 sg:pub.10.1007/s12307-017-0195-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086304948
143 https://doi.org/10.1007/s12307-017-0195-8
144 rdf:type schema:CreativeWork
145 sg:pub.10.1038/labinvest.2009.20 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003829989
146 https://doi.org/10.1038/labinvest.2009.20
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nrm3284 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023400186
149 https://doi.org/10.1038/nrm3284
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/onc.2013.96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051752409
152 https://doi.org/10.1038/onc.2013.96
153 rdf:type schema:CreativeWork
154 https://app.dimensions.ai/details/publication/pub.1077463141 schema:CreativeWork
155 https://doi.org/10.1001/jama.2009.1529 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002301684
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1002/1096-9861(20001211)428:2<223::aid-cne3>3.0.co;2-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1024734878
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1002/ijc.28319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010603647
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1016/j.addr.2015.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018793476
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1016/j.canlet.2006.08.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037970020
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1016/j.canlet.2012.08.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012197012
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.devcel.2004.12.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001887918
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1016/j.gene.2012.12.077 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019474370
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1016/j.prp.2014.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025226509
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1080/07357900801898664 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014839626
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1086/301883 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058609480
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1155/2011/792362 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022263639
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1155/2015/376576 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051625676
180 rdf:type schema:CreativeWork
181 https://doi.org/10.1158/0008-5472.can-11-1748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028860902
182 rdf:type schema:CreativeWork
183 https://doi.org/10.1158/1078-0432.ccr-08-0520 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013508887
184 rdf:type schema:CreativeWork
185 https://doi.org/10.18632/oncotarget.10408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025634098
186 rdf:type schema:CreativeWork
187 https://doi.org/10.18632/oncotarget.20800 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091522592
188 rdf:type schema:CreativeWork
189 https://doi.org/10.20892/j.issn.2095-3941.2016.0088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084380959
190 rdf:type schema:CreativeWork
191 https://doi.org/10.3892/etm.2017.4792 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090705597
192 rdf:type schema:CreativeWork
193 https://doi.org/10.3892/or.2011.1353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071531466
194 rdf:type schema:CreativeWork
195 https://doi.org/10.7150/jca.19723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090650291
196 rdf:type schema:CreativeWork
197 https://doi.org/10.7314/apjcp.2016.17.1.289 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046173118
198 rdf:type schema:CreativeWork
199 https://www.grid.ac/institutes/grid.216938.7 schema:alternateName Nankai University
200 schema:name Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People’s Republic of China
201 Nankai University School of Medicine, Nankai University, 300071, Tianjin, People’s Republic of China
202 rdf:type schema:Organization
203 https://www.grid.ac/institutes/grid.410648.f schema:alternateName Tianjin University of Traditional Chinese Medicine
204 schema:name Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People’s Republic of China
205 Graduate School, Tianjin University of Traditional Chinese Medicine, Tianjin, People’s Republic of China
206 rdf:type schema:Organization
207 https://www.grid.ac/institutes/grid.417031.0 schema:alternateName Tianjin People's Hospital
208 schema:name Department of General Surgery, Tianjin Union Medical Center, 300121, Tianjin, People’s Republic of China
209 Department of Pathology, Tianjin Union Medical Center, 300121, Tianjin, People’s Republic of China
210 Departments of Colorectal Surgery, Tianjin Union Medical Center, 300121, Tianjin, People’s Republic of China
211 rdf:type schema:Organization
 




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


...