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Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome

Science(2006)10.1126/science.1129139Source: DataRank Database

Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome is a research paper published in Science (2006). On theSindex it has a DataRank of 1.3. It has been cited 6,415 times.

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1.3DataRank · unranked

Scored on demand from live citation data

6,415 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Impact (FWCI 60.17)OA: closedTopics (67)Linked Datasets (25)DataCite Reuse (25)IDs (PubMed, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
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Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.3

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (19)

Anne Costes ORCID,Fatima Sanchez-Cabo,Amos Kirilovsky ORCID,Bernhard Mlecnik ORCID,Christine Lagorce-Pagès

Live enrichment

PubMed:17008531 OpenAlex:https://openalex.org/W2142300779

FWCI

60.17

Citation Percentile

1.0%

Citation Trend

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publisherhttps://www.science.org/doi/pdf/10.1126/science.1129139

journalhttps://doi.org/10.1126/science.1129139

repositoryhttps://pubmed.ncbi.nlm.nih.gov/17008531

Fields of Study

Cancer Immunotherapy and BiomarkersImmune Cell Function and InteractionImmunotherapy and Immune ResponsesCD3 ComplexCD8-Positive T-LymphocytesCohort StudiesColorectal NeoplasmsDisease ProgressionDisease-Free SurvivalFemaleGene Expression ProfilingHumansImmunohistochemistryImmunologic MemoryLeukocyte Common AntigensLymphatic MetastasisLymphocyte CountLymphocytes, Tumor-InfiltratingMaleNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingOligonucleotide Array Sequence AnalysisPolymerase Chain ReactionPrognosisSurvival AnalysisT-Lymphocyte SubsetsTh1 Cells

MeSH Terms

FemaleHumansImmunohistochemistryImmunologic MemoryLymphatic MetastasisMaleNeoplasm InvasivenessNeoplasm Recurrence, LocalNeoplasm StagingPrognosisColorectal NeoplasmsCohort StudiesSurvival AnalysisPolymerase Chain ReactionT-Lymphocyte SubsetsLymphocytes, Tumor-InfiltratingCD3 ComplexLeukocyte Common AntigensCD8-Positive T-LymphocytesTh1 CellsDisease ProgressionDisease-Free SurvivalLymphocyte CountOligonucleotide Array Sequence AnalysisGene Expression Profiling

Keywords

Immune systemColorectal cancerImmunohistochemistryBiologyAcquired immune systemTumor-infiltrating lymphocytesCancer researchOncologyMedicineImmunologyCancerPathologyImmunotherapyInternal medicine

Sustainable Development Goals

SDG 0: Good health and well-being

Additional file 1 of The epigenetic immunomodulator, HBI-8000, enhances the response and reverses resistance to checkpoint inhibitors

10.6084/m9.figshare.16544232.v1figshare

Additional file 1 of The epigenetic immunomodulator, HBI-8000, enhances the response and reverses resistance to checkpoint inhibitors

10.6084/m9.figshare.16544232figshare

Additional file 1 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262538.v1figshare

Additional file 1 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262538figshare

Additional file 2 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262541.v1figshare

Additional file 2 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262541figshare

Additional file 3 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262544.v1figshare

Additional file 3 of Development and validation of a five-immune gene prognostic risk model in colon cancer

10.6084/m9.figshare.12262544figshare

Additional file 1 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265888.v1figshare

Additional file 1 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265888figshare

Additional file 2 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265891.v1figshare

Additional file 2 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265891figshare

Additional file 3 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265894.v1figshare

Additional file 3 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265894figshare

Additional file 4 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265897figshare

Additional file 4 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265897.v1figshare

Additional file 5 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265900.v1figshare

Additional file 5 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265900figshare

Additional file 6 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265903figshare

Additional file 6 of Extensive variability in the composition of immune infiltrate in different mouse models of cancer

10.6084/m9.figshare.13265903.v1figshare

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Type, Density, and Location of Immune Cells Within Human Colorectal Tumors Predict Clinical Outcome

FAIR Checklist

DataRank Breakdown

Authors (19)

Impact

Open Access

Topics

Linked Datasets (25)

Related Papers (10)