Evidence map›Paper›PMID 41180010›Full record

ArticleNAR cancer2025

THRESHOLD: a comprehensive transcriptomic analysis tool for evaluating gene saturation and impact in disease progression.

Finán Gammell, Jennifer Li, Christopher Elco, Jessica Plavicki, Alper Uzun

Abstract read
In one paragraph

Article in NAR cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Finán GammellEast Greenwich High School, East Greenwich, RI 02818, United States.
Jennifer LiDepartment of Computer Science, Brown University, Providence, RI 02906, United States.
Christopher ElcoDepartment of Pathology and Laboratory Medicine, BioMed, Brown University, Providence, RI 02903, United States.
Jessica PlavickiDepartment of Pathology and Laboratory Medicine, BioMed, Brown University, Providence, RI 02903, United States.ORCID 0000-0002-7619-9234
Alper UzunLegorreta Cancer Center, Brown University, Providence, RI 02903, United States.ORCID 0000-0001-6489-8591

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression studies are fundamental in molecular biology, offering insights into development, disease progression, and therapeutic targets. To address the need for precise analysis of large datasets, we developed THRESHOLD, a novel tool that introduces the concept of gene saturation. Unlike traditional methods focused on absolute or binary expression levels, THRESHOLD quantifies the consistency of gene expression across patients, revealing co-regulation patterns critical for understanding disease mechanisms and stratifying patients by molecular signatures. The tool offers several features, including user-defined parameters, statistical comparisons, and interactive data visualization. THRESHOLD has uncovered compelling insights into disease progression using TCGA cancer datasets. For instance, bladder urothelial carcinoma demonstrated increasing upregulated gene saturation in progressive cancer stages (

Indexed as

Gene Expression ProfilingTranscriptomeAdenocarcinomaBiomarkers, TumorDisease ProgressionFemaleGene Expression Regulation, NeoplasticHumansMaleProstatic NeoplasmsProtein Interaction MapsUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID41180010
PMCPMC12574675

What OpenQuestion holds

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LicenceCC BY-NC
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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.