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The landscape of bacterial presence in tumor and adjacent normal tissue across 9 major cancer types using TCGA exome sequencing

Computational and Structural Biotechnology Journal(2020)10.1016/j.csbj.2020.03.003Source: DataRank Database

The landscape of bacterial presence in tumor and adjacent normal tissue across 9 major cancer types using TCGA exome sequencing is a dataset published in Computational and Structural Biotechnology Journal (2020). On theSindex it has a DataRank of 2.8, placing it in the top 7.9% of the data-sharing corpus. It has been cited 58 times, with 55 citing works in its 1-hop citation network.

Top 8%percentile

2.8DataRank

Ranks in the top 8% for downstream scientific impact

Data paper Open Access58 citations · 55 citing works in its network

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Linked data & code

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (15 grants)Impact (FWCI 2.24)OA: goldTopics (38)Linked Datasets (2)DataCite Reuse (2)IDs (PubMed, PMC, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (1/2)

Open Access

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (1/3)

Dataset classification

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DataRank Breakdown

Base Score 22%Citation Network 78%

Base Score Contribution

0.612

From this paper's citation signal

Citation Network Contribution

2.2

From 48 citing papers with measurable signal

Learn more about DataRank methodology →

Top 5 citers driving the network score

Ranked by each citer's contribution to N(p) — log1p(C_q) divided by its reference count — out of 55 citers.

Characterization of the human tumor microbiome reveals tumor-type specific intra-cellular bacteria
OncoImmunology202046 citations8 referencesContributes 0.481
The Intratumor Microbiota Signatures Associate With Subtype, Tumor Stage, and Survival Status of Esophageal Carcinoma
Frontiers in Oncology2021107 citations36 referencesContributes 0.130
The intratumor microbiome predicts prognosis across gender and subtypes in papillary thyroid carcinoma
Computational and Structural Biotechnology Journal202148 citations35 referencesContributes 0.111
Prognostic value of intratumoral Fusobacterium nucleatum and association with immune-related gene expression in oral squamous cell carcinoma patients
Scientific Reports2021117 citations44 referencesContributes 0.108
Circulating Bacterial DNA as Plasma Biomarkers for Lung Cancer Early Detection
Microorganisms202317 citations27 referencesContributes 0.107

Authors (5)

Brenda Y. Hernandez ORCID,Mark Menor,Youping Deng ORCID,Vedbar S. Khadka ORCID,Rebecca Rodriguez ORCID

Live enrichment

PubMed:32257046 PMC:PMC7109368 OpenAlex:https://openalex.org/W3011607225

NIGMS NIH HHS

Grant: P20 GM103466

NIGMS NIH HHS

Grant: P30 GM114737

NIMHD NIH HHS

Grant: U54 MD007584

NIMHD NIH HHS

Grant: U54 MD007601

NCI NIH HHS

Grant: R01 CA223490

NCI NIH HHS

Grant: R01 CA230514

National Institutes of Health

Grant: 3P30GM114737-02S1

Pacific Center for Emerging Infectious Diseases Research

National Institutes of Health

Grant: 5U54MD007584-07

RCMI Multidisciplinary And Translational Research Infrastructure EXpansion (RAMAT

National Institutes of Health

Grant: 1P30GM114737-01

Pacific Center for Emerging Infectious Diseases Research

National Institutes of Health

Grant: 2U54MD007601-31

Ola HAWAII

National Institutes of Health

Grant: 3G12MD007601-30S1

Bioscience Research Infrastructure Development for Grant Enhancement and Success

National Institutes of Health

Grant: 5U54MD007584-06

RCMI Multidisciplinary And Translational Research Infrastructure EXpansion (RAMAT

National Institutes of Health

Grant: 8P20GM103466-11

INBRE II: Hawaii Statewide Research & Education Partnership (HSREP)

National Institute on Minority Health and Health Disparities

National Institutes of Health

FWCI

2.24

Citation Percentile

0.9%

Citation Trend

2020

2021

2022

2023

2024

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.csbj.2020.03.003

publisherhttps://doi.org/10.1016/j.csbj.2020.03.003

publisherhttps://api.elsevier.com/content/article/PII:S2001037019304131?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2001037019304131?httpAccept=text/plain

publisherhttps://spj.science.org/doi/pdf/10.1016/j.csbj.2020.03.003

Fields of Study

Gut microbiota and healthColorectal Cancer Screening and DetectionGastric Cancer Management and Outcomes0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

BiologyFusobacterium nucleatumExome sequencingPathologyAdenocarcinomaColorectal cancerPopulationStomachCancerMedicineGeneticsGeneBacteriaMutationTcgaTcga, The Cancer Genome AtlasCoad, Colon AdenocarcinomaLuad, Lung AdenocarcinomaLusc, Lung Squamous Cell CarcinomaCancer MicrobiomeStad, Stomach AdenocarcinomaLihc, Liver Hepatocellular CarcinomaRead, Rectal AdenocarcinomaCoread, Colon And Rectal Adenocarcinoma Tcga CohortsHnsc, Head & Neck Squamous Cell CarcinomaCesc, Cervical & Endocervical Squamous Cell CarcinomasBlca, Bladder CarcinomaL2fc, Log 2 Fold ChangeMicrobial LandscapeTP248.13-248.65BiotechnologyResearch Article

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

Additional file 1 of Location and condition based reconstruction of colon cancer microbiome from human RNA sequencing data

10.6084/m9.figshare.22735449.v1figshare

Additional file 1 of Location and condition based reconstruction of colon cancer microbiome from human RNA sequencing data

10.6084/m9.figshare.22735449figshare