Circulating miR-125b is a novel biomarker for screening non-small-cell lung cancer and predicts poor prognosis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-12

AUTHORS

Ma Yuxia, Tian Zhennan, Zhang Wei

ABSTRACT

PURPOSE: MicroRNAs are small, non-coding RNAs that are critical regulators of various diseases including cancer, and may represent a novel class of cancer biomarkers. Recent reports have highlighted the oncogenic aspects of miR-125b. However, the level and clinical relevance of circulating miR-125b transcripts in human serum of non-small-cell lung cancer (NSCLC) patients are unclear. The purpose of this study was to identify circulating miR-125b transcripts in human serum for use as a biomarker for stratification and prediction of prognosis in NSCLC. METHODS: We analyzed serum levels of miR-125b in 193 patients with different stages of NSCLC. Blood samples were collected before surgery and therapy. Quantitative reverse transcription-polymerase chain reaction of circulating miR-125b transcripts was performed directly in serum to improve the efficiency of miRNA assessment. Receiver operating characteristic analysis was used to evaluate the sensitivity and specificity of serum miR-125b. RESULTS: We found that serum miR-125b was consistently expressed in the non-tumor group and was significantly associated with NSCLC stage. miR-125b expression was capable of separating NSCLC patients from control groups with an area under the curve of 0.786. Furthermore, patients with high miR-125b expression displayed a significantly poorer prognosis compared with patients with low expression (p < 0.0001). Multivariate analysis indicated that high miR-125b expression was an independent prognostic factor for survival. CONCLUSIONS: We propose that serum miR-125b may represent a novel biomarker in NSCLC patients and that high miR-125b expression is an independent prognostic factor for survival. More... »

PAGES

2045-2050

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00432-012-1285-0

DOI

http://dx.doi.org/10.1007/s00432-012-1285-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1032615259

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22806310


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": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Non-Small-Cell Lung", 
        "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": "Lung Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "MicroRNAs", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Pilot Projects", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Respiration Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuxia", 
        "givenName": "Ma", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Respiration Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhennan", 
        "givenName": "Tian", 
        "id": "sg:person.01325413156.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325413156.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Harbin Medical University", 
          "id": "https://www.grid.ac/institutes/grid.412596.d", 
          "name": [
            "Department of Respiration Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wei", 
        "givenName": "Zhang", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1476-4598-10-108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000206587", 
          "https://doi.org/10.1186/1476-4598-10-108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1767609", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000499471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1071/rd10046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000693202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.2010.194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002473032", 
          "https://doi.org/10.1038/labinvest.2010.194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/labinvest.2010.194", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002473032", 
          "https://doi.org/10.1038/labinvest.2010.194"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.bbrc.2011.10.117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006979631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-010-0918-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007053435", 
          "https://doi.org/10.1007/s00432-010-0918-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00432-010-0918-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007053435", 
          "https://doi.org/10.1007/s00432-010-0918-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cr.2008.282", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007691905", 
          "https://doi.org/10.1038/cr.2008.282"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2009.24.9342", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010979628"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2868", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017044226", 
          "https://doi.org/10.1038/nrm2868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2868", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017044226", 
          "https://doi.org/10.1038/nrm2868"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1016611107", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018324997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3322/caac.20121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032384183"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.23904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038422651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.23904", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038422651"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044012298", 
          "https://doi.org/10.1038/nrc1997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrc1997", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044012298", 
          "https://doi.org/10.1038/nrc1997"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1373/clinchem.2010.151845", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047272629"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrg2290", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048988578", 
          "https://doi.org/10.1038/nrg2290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0804549105", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051826896"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/ijo.2011.969", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071512631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2010.1112", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071531202"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/or.2010.1117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071531207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078500284", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-12", 
    "datePublishedReg": "2012-12-01", 
    "description": "PURPOSE: MicroRNAs are small, non-coding RNAs that are critical regulators of various diseases including cancer, and may represent a novel class of cancer biomarkers. Recent reports have highlighted the oncogenic aspects of miR-125b. However, the level and clinical relevance of circulating miR-125b transcripts in human serum of non-small-cell lung cancer (NSCLC) patients are unclear. The purpose of this study was to identify circulating miR-125b transcripts in human serum for use as a biomarker for stratification and prediction of prognosis in NSCLC.\nMETHODS: We analyzed serum levels of miR-125b in 193 patients with different stages of NSCLC. Blood samples were collected before surgery and therapy. Quantitative reverse transcription-polymerase chain reaction of circulating miR-125b transcripts was performed directly in serum to improve the efficiency of miRNA assessment. Receiver operating characteristic analysis was used to evaluate the sensitivity and specificity of serum miR-125b.\nRESULTS: We found that serum miR-125b was consistently expressed in the non-tumor group and was significantly associated with NSCLC stage. miR-125b expression was capable of separating NSCLC patients from control groups with an area under the curve of 0.786. Furthermore, patients with high miR-125b expression displayed a significantly poorer prognosis compared with patients with low expression (p\u00a0<\u00a00.0001). Multivariate analysis indicated that high miR-125b expression was an independent prognostic factor for survival.\nCONCLUSIONS: We propose that serum miR-125b may represent a novel biomarker in NSCLC patients and that high miR-125b expression is an independent prognostic factor for survival.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00432-012-1285-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1313647", 
        "issn": [
          "0171-5216", 
          "1432-1335"
        ], 
        "name": "Journal of Cancer Research and Clinical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "138"
      }
    ], 
    "name": "Circulating miR-125b is a novel biomarker for screening non-small-cell lung cancer and predicts poor prognosis", 
    "pagination": "2045-2050", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9b6081f1f006c76fc1f69ab906a1770c5d9a1fe60395791c250d3367283b42ed"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22806310"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7902060"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00432-012-1285-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1032615259"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00432-012-1285-0", 
      "https://app.dimensions.ai/details/publication/pub.1032615259"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:02", 
    "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_8697_00000489.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00432-012-1285-0"
  }
]
 

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/s00432-012-1285-0'

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/s00432-012-1285-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1285-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00432-012-1285-0'


 

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

191 TRIPLES      21 PREDICATES      60 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00432-012-1285-0 schema:about N51da948abd074df282c6d4b8e341d925
2 N5e5a6f050632413c8ebf304c07babf7b
3 N6d61dc1015c64d4c87d3f5014d1e1255
4 N92ed4522537a411daa8888c4ad0d7b7a
5 N98996900695e44869fcaa312a8d49b74
6 Na86a4b5c6ed943e898721eada6d97c4c
7 Nbba51a31de8a426496197434fd1e9dd7
8 Nd1e135cbd43a40e580dea02772a9ca74
9 Ne0bf939da6464bbdb1ca602c4d279251
10 Ne575c18b2c7946e59bfbec23b6939006
11 Ne8d15174eb2a4ac7aeb12da08ef01ec0
12 anzsrc-for:11
13 anzsrc-for:1112
14 schema:author N3bd37082ab944f2891a84db732a83c33
15 schema:citation sg:pub.10.1007/s00432-010-0918-4
16 sg:pub.10.1038/cr.2008.282
17 sg:pub.10.1038/labinvest.2010.194
18 sg:pub.10.1038/nrc1997
19 sg:pub.10.1038/nrg2290
20 sg:pub.10.1038/nrm2868
21 sg:pub.10.1186/1476-4598-10-108
22 https://app.dimensions.ai/details/publication/pub.1078500284
23 https://doi.org/10.1002/hep.23904
24 https://doi.org/10.1016/j.bbrc.2011.10.117
25 https://doi.org/10.1071/rd10046
26 https://doi.org/10.1073/pnas.0804549105
27 https://doi.org/10.1073/pnas.1016611107
28 https://doi.org/10.1101/gad.1767609
29 https://doi.org/10.1200/jco.2009.24.9342
30 https://doi.org/10.1373/clinchem.2010.151845
31 https://doi.org/10.3322/caac.20121
32 https://doi.org/10.3892/ijo.2011.969
33 https://doi.org/10.3892/or.2010.1112
34 https://doi.org/10.3892/or.2010.1117
35 schema:datePublished 2012-12
36 schema:datePublishedReg 2012-12-01
37 schema:description PURPOSE: MicroRNAs are small, non-coding RNAs that are critical regulators of various diseases including cancer, and may represent a novel class of cancer biomarkers. Recent reports have highlighted the oncogenic aspects of miR-125b. However, the level and clinical relevance of circulating miR-125b transcripts in human serum of non-small-cell lung cancer (NSCLC) patients are unclear. The purpose of this study was to identify circulating miR-125b transcripts in human serum for use as a biomarker for stratification and prediction of prognosis in NSCLC. METHODS: We analyzed serum levels of miR-125b in 193 patients with different stages of NSCLC. Blood samples were collected before surgery and therapy. Quantitative reverse transcription-polymerase chain reaction of circulating miR-125b transcripts was performed directly in serum to improve the efficiency of miRNA assessment. Receiver operating characteristic analysis was used to evaluate the sensitivity and specificity of serum miR-125b. RESULTS: We found that serum miR-125b was consistently expressed in the non-tumor group and was significantly associated with NSCLC stage. miR-125b expression was capable of separating NSCLC patients from control groups with an area under the curve of 0.786. Furthermore, patients with high miR-125b expression displayed a significantly poorer prognosis compared with patients with low expression (p < 0.0001). Multivariate analysis indicated that high miR-125b expression was an independent prognostic factor for survival. CONCLUSIONS: We propose that serum miR-125b may represent a novel biomarker in NSCLC patients and that high miR-125b expression is an independent prognostic factor for survival.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf Nc1a2571fdfca4894ae1e5e7fe41a854d
42 Ncbe71bb94524461db6e53ae2a194cce7
43 sg:journal.1313647
44 schema:name Circulating miR-125b is a novel biomarker for screening non-small-cell lung cancer and predicts poor prognosis
45 schema:pagination 2045-2050
46 schema:productId N92ffd9830e1e478ca611940450ccd07f
47 Na8ec231d617a4ad98976144d6b081ea1
48 Nb1f6c25484e444ac8c6c5b6dce161a07
49 Nfb96673ecdc044db9aee29079aed5c38
50 Nfd98eab7cfcc4f12bff959c067437c69
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032615259
52 https://doi.org/10.1007/s00432-012-1285-0
53 schema:sdDatePublished 2019-04-11T01:02
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher Na113089e77264c9ab1d318fae881e083
56 schema:url http://link.springer.com/10.1007/s00432-012-1285-0
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N3a47bfa3775c4d7c92c67462035ce123 schema:affiliation https://www.grid.ac/institutes/grid.412596.d
61 schema:familyName Yuxia
62 schema:givenName Ma
63 rdf:type schema:Person
64 N3bd37082ab944f2891a84db732a83c33 rdf:first N3a47bfa3775c4d7c92c67462035ce123
65 rdf:rest N41ff7b92cf714995827bf32d4c1bacbf
66 N41ff7b92cf714995827bf32d4c1bacbf rdf:first sg:person.01325413156.23
67 rdf:rest Nda0faea9804c43b0bc68883b8b5c16e8
68 N51da948abd074df282c6d4b8e341d925 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Male
70 rdf:type schema:DefinedTerm
71 N5e5a6f050632413c8ebf304c07babf7b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Pilot Projects
73 rdf:type schema:DefinedTerm
74 N6d61dc1015c64d4c87d3f5014d1e1255 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Humans
76 rdf:type schema:DefinedTerm
77 N92b90c1b9dad46d4b8eb1199545642ae schema:affiliation https://www.grid.ac/institutes/grid.412596.d
78 schema:familyName Wei
79 schema:givenName Zhang
80 rdf:type schema:Person
81 N92ed4522537a411daa8888c4ad0d7b7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name MicroRNAs
83 rdf:type schema:DefinedTerm
84 N92ffd9830e1e478ca611940450ccd07f schema:name readcube_id
85 schema:value 9b6081f1f006c76fc1f69ab906a1770c5d9a1fe60395791c250d3367283b42ed
86 rdf:type schema:PropertyValue
87 N98996900695e44869fcaa312a8d49b74 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Prognosis
89 rdf:type schema:DefinedTerm
90 Na113089e77264c9ab1d318fae881e083 schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 Na86a4b5c6ed943e898721eada6d97c4c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Lung Neoplasms
94 rdf:type schema:DefinedTerm
95 Na8ec231d617a4ad98976144d6b081ea1 schema:name nlm_unique_id
96 schema:value 7902060
97 rdf:type schema:PropertyValue
98 Nb1f6c25484e444ac8c6c5b6dce161a07 schema:name doi
99 schema:value 10.1007/s00432-012-1285-0
100 rdf:type schema:PropertyValue
101 Nbba51a31de8a426496197434fd1e9dd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Carcinoma, Non-Small-Cell Lung
103 rdf:type schema:DefinedTerm
104 Nc1a2571fdfca4894ae1e5e7fe41a854d schema:volumeNumber 138
105 rdf:type schema:PublicationVolume
106 Ncbe71bb94524461db6e53ae2a194cce7 schema:issueNumber 12
107 rdf:type schema:PublicationIssue
108 Nd1e135cbd43a40e580dea02772a9ca74 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Sensitivity and Specificity
110 rdf:type schema:DefinedTerm
111 Nda0faea9804c43b0bc68883b8b5c16e8 rdf:first N92b90c1b9dad46d4b8eb1199545642ae
112 rdf:rest rdf:nil
113 Ne0bf939da6464bbdb1ca602c4d279251 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Female
115 rdf:type schema:DefinedTerm
116 Ne575c18b2c7946e59bfbec23b6939006 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Biomarkers, Tumor
118 rdf:type schema:DefinedTerm
119 Ne8d15174eb2a4ac7aeb12da08ef01ec0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Middle Aged
121 rdf:type schema:DefinedTerm
122 Nfb96673ecdc044db9aee29079aed5c38 schema:name dimensions_id
123 schema:value pub.1032615259
124 rdf:type schema:PropertyValue
125 Nfd98eab7cfcc4f12bff959c067437c69 schema:name pubmed_id
126 schema:value 22806310
127 rdf:type schema:PropertyValue
128 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
129 schema:name Medical and Health Sciences
130 rdf:type schema:DefinedTerm
131 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
132 schema:name Oncology and Carcinogenesis
133 rdf:type schema:DefinedTerm
134 sg:journal.1313647 schema:issn 0171-5216
135 1432-1335
136 schema:name Journal of Cancer Research and Clinical Oncology
137 rdf:type schema:Periodical
138 sg:person.01325413156.23 schema:affiliation https://www.grid.ac/institutes/grid.412596.d
139 schema:familyName Zhennan
140 schema:givenName Tian
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01325413156.23
142 rdf:type schema:Person
143 sg:pub.10.1007/s00432-010-0918-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007053435
144 https://doi.org/10.1007/s00432-010-0918-4
145 rdf:type schema:CreativeWork
146 sg:pub.10.1038/cr.2008.282 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007691905
147 https://doi.org/10.1038/cr.2008.282
148 rdf:type schema:CreativeWork
149 sg:pub.10.1038/labinvest.2010.194 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002473032
150 https://doi.org/10.1038/labinvest.2010.194
151 rdf:type schema:CreativeWork
152 sg:pub.10.1038/nrc1997 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044012298
153 https://doi.org/10.1038/nrc1997
154 rdf:type schema:CreativeWork
155 sg:pub.10.1038/nrg2290 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048988578
156 https://doi.org/10.1038/nrg2290
157 rdf:type schema:CreativeWork
158 sg:pub.10.1038/nrm2868 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017044226
159 https://doi.org/10.1038/nrm2868
160 rdf:type schema:CreativeWork
161 sg:pub.10.1186/1476-4598-10-108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000206587
162 https://doi.org/10.1186/1476-4598-10-108
163 rdf:type schema:CreativeWork
164 https://app.dimensions.ai/details/publication/pub.1078500284 schema:CreativeWork
165 https://doi.org/10.1002/hep.23904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038422651
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1016/j.bbrc.2011.10.117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006979631
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1071/rd10046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000693202
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1073/pnas.0804549105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051826896
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1073/pnas.1016611107 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018324997
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1101/gad.1767609 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000499471
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1200/jco.2009.24.9342 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010979628
178 rdf:type schema:CreativeWork
179 https://doi.org/10.1373/clinchem.2010.151845 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047272629
180 rdf:type schema:CreativeWork
181 https://doi.org/10.3322/caac.20121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032384183
182 rdf:type schema:CreativeWork
183 https://doi.org/10.3892/ijo.2011.969 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071512631
184 rdf:type schema:CreativeWork
185 https://doi.org/10.3892/or.2010.1112 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071531202
186 rdf:type schema:CreativeWork
187 https://doi.org/10.3892/or.2010.1117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071531207
188 rdf:type schema:CreativeWork
189 https://www.grid.ac/institutes/grid.412596.d schema:alternateName First Affiliated Hospital of Harbin Medical University
190 schema:name Department of Respiration Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, China
191 rdf:type schema:Organization
 




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


...