Evidence map›Paper›PMID 41291065›Full record

ReviewOncogene2025

Beyond genomics: 3D microtumor assays for rapid, clinically relevant functional drug testing.

Marina Chan, Taranjit S Gujral

Abstract readReview
PubMed Publisher
In one paragraph

Review in Oncogene, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Marina ChanDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA. mchan23@fredhutch.org.
Taranjit S GujralDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA. tgujral@fredhutch.org.ORCID 0000-0002-4453-3031

Funding

Targeting PLK1 signaling for the treatment of fibrolamellar carcinomaR01CA273081 · NCI · FRED HUTCHINSON CANCER CENTER · PI Taran Singh Gujral · 2023 to 2026
$1.9M
FDA HHS U01 FD007925U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) R01CA273081U.S. Department of Health & Human Services | U.S. Food and Drug Administration (U.S. Food & Drug Administration) U01FD007925
6 · The paper itself

Abstract

Precision oncology is increasingly moving beyond genomics alone to approaches that directly test how patient tumors respond to therapy. This shift reflects a central challenge in oncology, where sequencing alone often fails to identify effective therapies for rare, treatment-resistant, or genomically ambiguous tumors. Here, we highlight three-dimensional (3D) microtumor models as a powerful functional platform that preserves the architecture, cell types, and microenvironment of intact tumors for drug screening. By capturing biology that 2D models and genomics alone miss, this approach enables more accurate prediction of therapeutic vulnerabilities and expands the precision-oncology toolkit for patients who currently lack actionable options.

Indexed as

Antineoplastic AgentsGenomicsNeoplasmsAnimalsDrug Screening Assays, AntitumorHumansPrecision MedicineTumor MicroenvironmentAntineoplastic Agents

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.