Supplementary Tables S2-4 from Germline Variants in Asporin Vary by Race, Modulate the Tumor Microenvironment, and Are Differentially Associated with Metastatic Prostate Cancer Article Swipe
Paula J. Hurley
,
Debasish Sundi
,
Brian Shinder
,
Brian W. Simons
,
Robert M. Hughes
,
Rebecca M. Miller
,
Benjamin Benzon
,
Sheila F. Faraj
,
George J. Netto
,
Ismael A. Vergara
,
Nicholas Erho
,
Elai Davicioni
,
R. Jeffrey Karnes
,
Guifang Yan
,
Charles Patrick Ewing
,
Sarah D. Isaacs
,
David M. Berman
,
Jennifer R. Rider
,
Kristina M. Jordahl
,
Lorelei A. Mucci
,
Jessie Huang
,
Steven S. An
,
Ben Ho Park
,
William B. Isaacs
,
Luigi Marchionni
,
Ashley E. Ross
,
Edward M. Schaeffer
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1158/1078-0432.22459662
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1158/1078-0432.22459662
Supplementary Table S2 shows bivariate and multivariable analyses of germline ASPN D13/14 compared to ASPN D13/13 for lymph node involvement and metastatic recurrence. Supplementary Table S3 show bivariate analyses of ASPN D genotypes/alleles for biochemical recurrence. Supplementary Table S4 shows multivariable analyses of ASPN D13/14 for biochemical recurrence.
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Metadata
- Type
- supplementary-materials
- Language
- en
- Landing Page
- https://doi.org/10.1158/1078-0432.22459662
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4361884943Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1078-0432.22459662Digital Object Identifier
- Title
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Supplementary Tables S2-4 from Germline Variants in Asporin Vary by Race, Modulate the Tumor Microenvironment, and Are Differentially Associated with Metastatic Prostate CancerWork title
- Type
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supplementary-materialsOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-31Full publication date if available
- Authors
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Paula J. Hurley, Debasish Sundi, Brian Shinder, Brian W. Simons, Robert M. Hughes, Rebecca M. Miller, Benjamin Benzon, Sheila F. Faraj, George J. Netto, Ismael A. Vergara, Nicholas Erho, Elai Davicioni, R. Jeffrey Karnes, Guifang Yan, Charles Patrick Ewing, Sarah D. Isaacs, David M. Berman, Jennifer R. Rider, Kristina M. Jordahl, Lorelei A. Mucci, Jessie Huang, Steven S. An, Ben Ho Park, William B. Isaacs, Luigi Marchionni, Ashley E. Ross, Edward M. SchaefferList of authors in order
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https://doi.org/10.1158/1078-0432.22459662Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.1158/1078-0432.22459662Direct OA link when available
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Bivariate analysis, Germline, Oncology, Medicine, Internal medicine, Prostate cancer, Genotype, Cancer research, Cancer, Biology, Genetics, Mathematics, Gene, StatisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| best_oa_location.landing_page_url | https://doi.org/10.1158/1078-0432.22459662 |
| primary_location.id | doi:10.1158/1078-0432.22459662 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.1158/1078-0432.22459662 |
| publication_date | 2023-03-31 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.D | 31 |
| abstract_inverted_index.S2 | 2 |
| abstract_inverted_index.S3 | 25 |
| abstract_inverted_index.S4 | 38 |
| abstract_inverted_index.of | 8, 29, 42 |
| abstract_inverted_index.to | 13 |
| abstract_inverted_index.and | 5, 20 |
| abstract_inverted_index.for | 16, 33, 45 |
| abstract_inverted_index.ASPN | 10, 14, 30, 43 |
| abstract_inverted_index.node | 18 |
| abstract_inverted_index.show | 26 |
| abstract_inverted_index.Table | 1, 24, 37 |
| abstract_inverted_index.lymph | 17 |
| abstract_inverted_index.shows | 3, 39 |
| abstract_inverted_index.D13/13 | 15 |
| abstract_inverted_index.D13/14 | 11, 44 |
| abstract_inverted_index.analyses | 7, 28, 41 |
| abstract_inverted_index.compared | 12 |
| abstract_inverted_index.germline | 9 |
| abstract_inverted_index.bivariate | 4, 27 |
| abstract_inverted_index.metastatic | 21 |
| abstract_inverted_index.biochemical | 34, 46 |
| abstract_inverted_index.involvement | 19 |
| abstract_inverted_index.recurrence. | 22, 35 |
| abstract_inverted_index.Supplementary | 23, 36 |
| abstract_inverted_index.multivariable | 6, 40 |
| abstract_inverted_index.genotypes/alleles | 32 |
| abstract_inverted_index.recurrence.</p> | 47 |
| abstract_inverted_index.<p>Supplementary | 0 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 27 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7799999713897705 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.09734074 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |