Compositions and methods for therapy and diagnosis of prostate cancer


Ontology type: sgo:Patent     


Patent Info

DATE

N/A

AUTHORS

Jiangchun Xu , Davin C. Dillon , Jennifer L. Mitcham , Susan L. Harlocker , Yuqiu Jiang , Steven G. Reed , Michael D. Kalos , Gary R. Fanger , Marc W. Retter , John A. Stolk , Craig H. Day

ABSTRACT

Compositions and methods for the therapy and diagnosis of cancer, such as prostate cancer, are disclosed. Compositions may comprise one or more prostate-specific proteins, immunogenic portions thereof, or polynucleotides that encode such portions. Alternatively, a therapeutic composition may comprise an antigen presenting cell that expresses a prostate-specific protein, or a T cell that is specific for cells expressing such a protein. Such compositions may be used, for example, for the prevention and treatment of diseases such as prostate cancer. Diagnostic methods based on detecting a prostate-specific protein, or mRNA encoding such a protein, in a sample are also provided. More... »

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/2008/3142", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/2581", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "name": "Jiangchun Xu", 
        "type": "Person"
      }, 
      {
        "name": "Davin C. Dillon", 
        "type": "Person"
      }, 
      {
        "name": "Jennifer L. Mitcham", 
        "type": "Person"
      }, 
      {
        "name": "Susan L. Harlocker", 
        "type": "Person"
      }, 
      {
        "name": "Yuqiu Jiang", 
        "type": "Person"
      }, 
      {
        "name": "Steven G. Reed", 
        "type": "Person"
      }, 
      {
        "name": "Michael D. Kalos", 
        "type": "Person"
      }, 
      {
        "name": "Gary R. Fanger", 
        "type": "Person"
      }, 
      {
        "name": "Marc W. Retter", 
        "type": "Person"
      }, 
      {
        "name": "John A. Stolk", 
        "type": "Person"
      }, 
      {
        "name": "Craig H. Day", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nm0598-594", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001835763", 
          "https://doi.org/10.1038/nm0598-594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.186.6.859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007641190"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/pros.2990260407", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013355860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1084/jem.186.10.1623", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015325450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-5347(01)67123-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026799984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002770050257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028659258", 
          "https://doi.org/10.1007/s002770050257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002770050257", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028659258", 
          "https://doi.org/10.1007/s002770050257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.95.1.300", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034209856"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0888-7543(91)90410-g", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035930664"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1380-2933(97)00015-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037480842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0378-1119(95)00108-i", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039179551"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/16.15.7583", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040150345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0304-3835(94)90025-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044937189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0167-7799(96)10041-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045023638"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.93.20.10614", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046356338"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1439792", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062482241"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.274.5291.1371", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062554938"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/critrevimmunol.v18.i1-2.80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068131669"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "description": "

Compositions and methods for the therapy and diagnosis of cancer, such as prostate cancer, are disclosed. Compositions may comprise one or more prostate-specific proteins, immunogenic portions thereof, or polynucleotides that encode such portions. Alternatively, a therapeutic composition may comprise an antigen presenting cell that expresses a prostate-specific protein, or a T cell that is specific for cells expressing such a protein. Such compositions may be used, for example, for the prevention and treatment of diseases such as prostate cancer. Diagnostic methods based on detecting a prostate-specific protein, or mRNA encoding such a protein, in a sample are also provided.

", "id": "sg:patent.US-7074898-B2", "keywords": [ "composition", "method", "therapy", "diagnosis", "Prostatic Neoplasm", "Neoplasm", "specific protein", "portion", "polynucleotides", "therapeutic", "antigen", "cell", "T cell", "protein", "prevention", "disease", "diagnostic method", "mRNA encoding", "sample" ], "name": "Compositions and methods for therapy and diagnosis of prostate cancer", "recipient": [ { "id": "https://www.grid.ac/institutes/grid.418236.a", "type": "Organization" }, { "id": "https://www.grid.ac/institutes/grid.418019.5", "type": "Organization" } ], "sameAs": [ "https://app.dimensions.ai/details/patent/US-7074898-B2" ], "sdDataset": "patents", "sdDatePublished": "2019-03-07T15:36", "sdLicense": "https://scigraph.springernature.com/explorer/license/", "sdPublisher": { "name": "Springer Nature - SN SciGraph project", "type": "Organization" }, "sdSource": "s3://com.uberresearch.data.dev.patents-pipeline/full_run_10/sn-export/5eb3e5a348d7f117b22cc85fb0b02730/0000100128-0000348334/json_export_c65b015e.jsonl", "type": "Patent" } ]
 

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/patent.US-7074898-B2'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/patent.US-7074898-B2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/patent.US-7074898-B2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/patent.US-7074898-B2'


 

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

138 TRIPLES      14 PREDICATES      51 URIs      26 LITERALS      2 BLANK NODES

Subject Predicate Object
1 sg:patent.US-7074898-B2 schema:about anzsrc-for:2581
2 anzsrc-for:3142
3 schema:author N8f2fe401a27644edb83d35150fff255c
4 schema:citation sg:pub.10.1007/s002770050257
5 sg:pub.10.1038/nm0598-594
6 https://doi.org/10.1002/pros.2990260407
7 https://doi.org/10.1016/0167-7799(96)10041-x
8 https://doi.org/10.1016/0304-3835(94)90025-6
9 https://doi.org/10.1016/0378-1119(95)00108-i
10 https://doi.org/10.1016/0888-7543(91)90410-g
11 https://doi.org/10.1016/s0022-5347(01)67123-4
12 https://doi.org/10.1016/s1380-2933(97)00015-8
13 https://doi.org/10.1073/pnas.93.20.10614
14 https://doi.org/10.1073/pnas.95.1.300
15 https://doi.org/10.1084/jem.186.10.1623
16 https://doi.org/10.1084/jem.186.6.859
17 https://doi.org/10.1093/nar/16.15.7583
18 https://doi.org/10.1126/science.1439792
19 https://doi.org/10.1126/science.274.5291.1371
20 https://doi.org/10.1615/critrevimmunol.v18.i1-2.80
21 schema:description <p num="p-0001">Compositions and methods for the therapy and diagnosis of cancer, such as prostate cancer, are disclosed. Compositions may comprise one or more prostate-specific proteins, immunogenic portions thereof, or polynucleotides that encode such portions. Alternatively, a therapeutic composition may comprise an antigen presenting cell that expresses a prostate-specific protein, or a T cell that is specific for cells expressing such a protein. Such compositions may be used, for example, for the prevention and treatment of diseases such as prostate cancer. Diagnostic methods based on detecting a prostate-specific protein, or mRNA encoding such a protein, in a sample are also provided.</p>
22 schema:keywords Neoplasm
23 Prostatic Neoplasm
24 T cell
25 antigen
26 cell
27 composition
28 diagnosis
29 diagnostic method
30 disease
31 mRNA encoding
32 method
33 polynucleotides
34 portion
35 prevention
36 protein
37 sample
38 specific protein
39 therapeutic
40 therapy
41 schema:name Compositions and methods for therapy and diagnosis of prostate cancer
42 schema:recipient https://www.grid.ac/institutes/grid.418019.5
43 https://www.grid.ac/institutes/grid.418236.a
44 schema:sameAs https://app.dimensions.ai/details/patent/US-7074898-B2
45 schema:sdDatePublished 2019-03-07T15:36
46 schema:sdLicense https://scigraph.springernature.com/explorer/license/
47 schema:sdPublisher N1eed3f9ba9664e499157a28aa90c8567
48 sgo:license sg:explorer/license/
49 sgo:sdDataset patents
50 rdf:type sgo:Patent
51 N18184d17448945c5b849f25271536df0 rdf:first N715a9684f54f4ee486f46a63062f2309
52 rdf:rest Nf87dc66a4df049f0b597e6c6b6b6d9e7
53 N1eed3f9ba9664e499157a28aa90c8567 schema:name Springer Nature - SN SciGraph project
54 rdf:type schema:Organization
55 N2025ec45a2ec4d998a6e18b1e7035968 schema:name Davin C. Dillon
56 rdf:type schema:Person
57 N2112cdb7d8044e90b9cd900783c047a0 rdf:first N61c7508610644f2c977d4e36f06ecf81
58 rdf:rest N18184d17448945c5b849f25271536df0
59 N28e18d4e2ad04eae8ca358bd1817e519 schema:name Craig H. Day
60 rdf:type schema:Person
61 N34b9283da8bf48188b56b9ee28655cbb rdf:first Nf4fb7892344c4931897d424187b19838
62 rdf:rest N9d6bbe27959c49408b214934000206a8
63 N3f78447796164077ba28e28ac13233d0 schema:name Marc W. Retter
64 rdf:type schema:Person
65 N4043f7d3c9ed453491f2415784dc883f rdf:first N4740d43e72bb48778f2db0886e64ef98
66 rdf:rest N2112cdb7d8044e90b9cd900783c047a0
67 N4273f65c31ca4298adff64bf17e94d37 rdf:first Nf2ce6d1caf334ffc88856b6267e906d4
68 rdf:rest Ncb2e9aee44c64b84980ea582d3a1cee4
69 N4740d43e72bb48778f2db0886e64ef98 schema:name Steven G. Reed
70 rdf:type schema:Person
71 N60d58626bd7444df9621df43e934a102 schema:name Jennifer L. Mitcham
72 rdf:type schema:Person
73 N61c7508610644f2c977d4e36f06ecf81 schema:name Michael D. Kalos
74 rdf:type schema:Person
75 N715a9684f54f4ee486f46a63062f2309 schema:name Gary R. Fanger
76 rdf:type schema:Person
77 N8c976e2bbfb74b60ae68f57c02354060 schema:name Yuqiu Jiang
78 rdf:type schema:Person
79 N8f2fe401a27644edb83d35150fff255c rdf:first N99e5545e068f464fab6dfd690384fc20
80 rdf:rest Ndbe22297a632405684abc8370e72af43
81 N98d75b3e9eb24bddb8cdf587a05726c7 rdf:first N60d58626bd7444df9621df43e934a102
82 rdf:rest N4273f65c31ca4298adff64bf17e94d37
83 N99e5545e068f464fab6dfd690384fc20 schema:name Jiangchun Xu
84 rdf:type schema:Person
85 N9d6bbe27959c49408b214934000206a8 rdf:first N28e18d4e2ad04eae8ca358bd1817e519
86 rdf:rest rdf:nil
87 Ncb2e9aee44c64b84980ea582d3a1cee4 rdf:first N8c976e2bbfb74b60ae68f57c02354060
88 rdf:rest N4043f7d3c9ed453491f2415784dc883f
89 Ndbe22297a632405684abc8370e72af43 rdf:first N2025ec45a2ec4d998a6e18b1e7035968
90 rdf:rest N98d75b3e9eb24bddb8cdf587a05726c7
91 Nf2ce6d1caf334ffc88856b6267e906d4 schema:name Susan L. Harlocker
92 rdf:type schema:Person
93 Nf4fb7892344c4931897d424187b19838 schema:name John A. Stolk
94 rdf:type schema:Person
95 Nf87dc66a4df049f0b597e6c6b6b6d9e7 rdf:first N3f78447796164077ba28e28ac13233d0
96 rdf:rest N34b9283da8bf48188b56b9ee28655cbb
97 anzsrc-for:2581 schema:inDefinedTermSet anzsrc-for:
98 rdf:type schema:DefinedTerm
99 anzsrc-for:3142 schema:inDefinedTermSet anzsrc-for:
100 rdf:type schema:DefinedTerm
101 sg:pub.10.1007/s002770050257 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028659258
102 https://doi.org/10.1007/s002770050257
103 rdf:type schema:CreativeWork
104 sg:pub.10.1038/nm0598-594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001835763
105 https://doi.org/10.1038/nm0598-594
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1002/pros.2990260407 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013355860
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/0167-7799(96)10041-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1045023638
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/0304-3835(94)90025-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044937189
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/0378-1119(95)00108-i schema:sameAs https://app.dimensions.ai/details/publication/pub.1039179551
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/0888-7543(91)90410-g schema:sameAs https://app.dimensions.ai/details/publication/pub.1035930664
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/s0022-5347(01)67123-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026799984
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/s1380-2933(97)00015-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037480842
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1073/pnas.93.20.10614 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046356338
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1073/pnas.95.1.300 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034209856
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1084/jem.186.10.1623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015325450
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1084/jem.186.6.859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007641190
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1093/nar/16.15.7583 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040150345
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1126/science.1439792 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062482241
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1126/science.274.5291.1371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062554938
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1615/critrevimmunol.v18.i1-2.80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068131669
136 rdf:type schema:CreativeWork
137 https://www.grid.ac/institutes/grid.418019.5 schema:Organization
138 https://www.grid.ac/institutes/grid.418236.a schema:Organization
 




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


...