Supplementary tables from EphA2 Expression Is a Key Driver of Migration and Invasion and a Poor Prognostic Marker in Colorectal Cancer Article Swipe
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· 2023
· Open Access
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· DOI: https://doi.org/10.1158/1078-0432.22461365.v1
Supplementary table 1. Clinical-pathological features of the resection-only and chemotherapy/resection stage II/III colorectal cancer patient cohorts with mature survival data in the Singapore dataset. Supplementary table 2. EphA2 and clinical-pathological correlates in CRC. Correlation between EphA2 and CD44, LGR5, CD133, Ki-67 and AXL in 509 stage I-IV CRC cases of the Singapore dataset. Supplementary table 3. Statistical associations between pairs of factors in the surgery only (A) and surgery/chemotherapy (B) stage II/III groups in the Singapore dataset. Supplementary table 4. A. Univariate and multivariate analysis (Cox proportional hazards regression) of resection-chemotherapy stage II/III patient group. B. Final multivariate model (Cox proportional hazards regression) of resection-chemotherapy stage II/III patient group. Supplementary table 5. Statistical association between expression levels of TGF-α and EphA2 using Spearman's Rank Correlation in GSE17536, GSE39582, GSE14333 and The Cancer Genome Atlas (TCGA). Within each dataset the value of Rho and associated p-value is reported.
Related Topics
- Type
- supplementary-materials
- Language
- en
- Landing Page
- https://doi.org/10.1158/1078-0432.22461365.v1
- OA Status
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- Related Works
- 10
- OpenAlex ID
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https://openalex.org/W4361920081Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1158/1078-0432.22461365.v1Digital Object Identifier
- Title
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Supplementary tables from EphA2 Expression Is a Key Driver of Migration and Invasion and a Poor Prognostic Marker in Colorectal 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
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2023-03-31Full publication date if available
- Authors
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Philip D. Dunne, Sonali Dasgupta, Jaine K. Blayney, Darragh G. McArt, Keara L. Redmond, Jessica-Anne Weir, Conor A. Bradley, Takehiko Sasazuki, Senji Shirasawa, Tingting Wang, Supriya Srivastava, Chee Wee Ong, Ken Arthur, Manuel Salto–Tellez, Richard H. Wilson, Patrick G. Johnston, Sandra Van SchaeybroeckList of authors in order
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https://doi.org/10.1158/1078-0432.22461365.v1Publisher 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/10.1158/1078-0432.22461365.v1Direct OA link when available
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Proportional hazards model, Medicine, Colorectal cancer, Oncology, Internal medicine, Stage (stratigraphy), Capecitabine, Pathological, Chemotherapy, Multivariate analysis, Cancer, Biology, PaleontologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.Statistical | 56, 112 |
| abstract_inverted_index.association | 113 |
| abstract_inverted_index.regression) | 88, 102 |
| abstract_inverted_index.associations | 57 |
| abstract_inverted_index.multivariate | 83, 97 |
| abstract_inverted_index.proportional | 86, 100 |
| abstract_inverted_index.Supplementary | 24, 53, 77, 109 |
| abstract_inverted_index.resection-only | 7 |
| abstract_inverted_index.reported.</p> | 146 |
| abstract_inverted_index.surgery/chemotherapy | 68 |
| abstract_inverted_index.Clinical-pathological | 3 |
| abstract_inverted_index.clinical-pathological | 29 |
| abstract_inverted_index.<p>Supplementary | 0 |
| abstract_inverted_index.chemotherapy/resection | 9 |
| abstract_inverted_index.resection-chemotherapy | 90, 104 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 17 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/1 |
| sustainable_development_goals[0].score | 0.6800000071525574 |
| sustainable_development_goals[0].display_name | No poverty |
| citation_normalized_percentile.value | 0.07075291 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |