Evidence map›Paper›PMID 33807717›Full record

ArticleInternational journal of molecular sciences2021

TNMplot.com: A Web Tool for the Comparison of Gene Expression in Normal, Tumor and Metastatic Tissues.

Áron Bartha, Balázs Győrffy

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 714 papers.

0numbers the graph read from it
0cells of the map it votes in
714citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

714 citing papers in PubMed.

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  6. FMRP promotes gastric cancer progression via mJournal of translational medicine · 2026
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  20. Review

654 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Áron BarthaDepartment of Bioinformatics, Semmelweis University, 1094 Budapest, Hungary.
Balázs GyőrffyDepartment of Bioinformatics, Semmelweis University, 1094 Budapest, Hungary.

Funding

Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology Hungary 2018-1.3.1-VKE-2018-00032Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology Hungary 2018-2.1.17-TET-KR-00001Higher Education Institutional Excellence Programme of the Ministry for Innovation and Technology Hungary 2020-4.1.1.-TKP2020
6 · The paper itself

Abstract

Genes showing higher expression in either tumor or metastatic tissues can help in better understanding tumor formation and can serve as biomarkers of progression or as potential therapy targets. Our goal was to establish an integrated database using available transcriptome-level datasets and to create a web platform which enables the mining of this database by comparing normal, tumor and metastatic data across all genes in real time. We utilized data generated by either gene arrays from the Gene Expression Omnibus of the National Center for Biotechnology Information (NCBI-GEO) or RNA-seq from The Cancer Genome Atlas (TCGA), Therapeutically Applicable Research to Generate Effective Treatments (TARGET), and The Genotype-Tissue Expression (GTEx) repositories. The altered expression within different platforms was analyzed separately. Statistical significance was computed using Mann-Whitney or Kruskal-Wallis tests. False Discovery Rate (FDR) was computed using the Benjamini-Hochberg method. The entire database contains 56,938 samples, including 33,520 samples from 3180 gene chip-based studies (453 metastatic, 29,376 tumorous and 3691 normal samples), 11,010 samples from TCGA (394 metastatic, 9886 tumorous and 730 normal), 1193 samples from TARGET (1 metastatic, 1180 tumorous and 12 normal) and 11,215 normal samples from GTEx. The most consistently upregulated genes across multiple tumor types were TOP2A (FC = 7.8), SPP1 (FC = 7.0) and CENPA (FC = 6.03), and the most consistently downregulated gene was ADH1B (FC = 0.15). Validation of differential expression using equally sized training and test sets confirmed the reliability of the database in breast, colon, and lung cancer at an FDR below 10%. The online analysis platform enables unrestricted mining of the database and is accessible at TNMplot.com.

Indexed as

Databases, Nucleic AcidGene Expression ProfilingGene Expression Regulation, NeoplasticInternetNeoplasmsSoftwareHumansNeoplasm Metastasiscancerdifferential expressiongene arrayRNA-seqtranscriptomics

Identifiers

PMID33807717
PMCPMC7961455

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.