Evidence map›Paper›PMID 37849667›Full record

ReviewBME frontiers2023

Organotypic Models for Functional Drug Testing of Human Cancers.

Yu Ling Huang, Lindsay K Dickerson, Heidi Kenerson, Xiuyun Jiang, Venu Pillarisetty, Qiang Tian, Leroy Hood, Taranjit S Gujral, Raymond S Yeung

Abstract readReview
In one paragraph

Review in BME frontiers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Tumor organoid-immune cell co-culture systems for precision oncology.Frontiers in cell and developmental biology · 2026
    Review
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

9 authors.

Yu Ling HuangDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Lindsay K DickersonDepartment of Surgery, University of Washington, Seattle, WA, USA.
Heidi KenersonDepartment of Surgery, University of Washington, Seattle, WA, USA.
Xiuyun JiangDepartment of Surgery, University of Washington, Seattle, WA, USA.
Venu PillarisettyDepartment of Surgery, University of Washington, Seattle, WA, USA.
Qiang TianNational Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Leroy HoodInstitute for Systems Biology, Phenome Health Institute, Seattle, WA, USA.
Taranjit S GujralDivision of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Raymond S YeungDepartment of Surgery, University of Washington, Seattle, WA, USA.

Funding

Microfluidic Device to Profile Chemosensitivity in Glioma Slice CulturesR01CA181445 · NCI · UNIVERSITY OF WASHINGTON · PI FOLCH, ALBERT · 2014 to 2025
$5.3M
NCI NIH HHS R01 CA181445
6 · The paper itself

Abstract

In the era of personalized oncology, there have been accelerated efforts to develop clinically relevant platforms to test drug sensitivities of individual cancers. An ideal assay will serve as a diagnostic companion to inform the oncologist of the various treatments that are sensitive and insensitive, thus improving outcome while minimizing unnecessary toxicities and costs. To date, no such platform exists for clinical use, but promising approaches are on the horizon that take advantage of improved techniques in creating human cancer models that encompass the entire tumor microenvironment, alongside technologies for assessing and analyzing tumor response. This review summarizes a number of current strategies that make use of intact human cancer tissues as organotypic cultures in drug sensitivity testing.

Identifiers

PMID37849667
PMCPMC10275620

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.