Evidence map›Paper›PMID 35259932›Full record

ReviewAnnual review of biomedical engineering2022

Technologies to Assess Drug Response and Heterogeneity in Patient-Derived Cancer Organoids.

Melissa C Skala, Dustin A Deming, Jeremy D Kratz

Open access · hybridAbstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 5% of its field
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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Deep Learning-Powered Scalable Cancer Organ Chip for Cancer Precision Medicine.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Organoids technology in cancer research: from basic applications to advancedFrontiers in cell and developmental biology · 2025
    Review
  20. 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

3 authors at 3 institutions in 1 country.

Melissa C SkalaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin, USA; email: mcskala@wisc.edu.
Dustin A DemingUniversity of Wisconsin-Madison Carbone Cancer Center, Madison, Wisconsin, USA.
Jeremy D KratzUniversity of Wisconsin-Madison Carbone Cancer Center, Madison, Wisconsin, USA.
Morgridge Institute for Research · USUniversity of Wisconsin Carbone Cancer Center · USUniversity of Wisconsin–Madison · US

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
Radionuclide Production and Radiochemistry Core Description CoreP01CA250972 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI BEDNARZ, BRYAN PATRICK · 2020 to 2024
$12.5M
Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Harnessing human brain and liver microphysiological systems for testing therapeutics for metastatic melanomaU01TR002383 · NCATS · VANDERBILT UNIVERSITY · PI MURPHY, WILLIAM L., TAYLOR, D. LANSING · 2018 to 2022
$7.6M
Optical imaging to predict cell-level genetic heterogeneity and treatment sensitivity in colorectal cancerR37CA226526 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI DEMING, DUSTIN A · 2018 to 2024
$4.2M
Optical imaging of pancreas cancer organoids for drug development and personalized treatmentR01CA211082 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2017 to 2021
$3.5M
(PQ7) Quantitative in vivo optical imaging of tumor heterogeneityR01CA205101 · NCI · MORGRIDGE INSTITUTE FOR RESEARCH, INC. · PI SKALA, MELISSA CAROLINE · 2016 to 2020
$1.9M
Single Cell Profiling To Define Biomarkers Of Photoreceptor Dysfunction After Gene Editing Within PSC-Derived OrganoidsU01EY032333 · NEI · UNIVERSITY OF WISCONSIN-MADISON · PI GAMM, DAVID M, ROY, SUSHMITA · 2020 to 2022
$1.8M
Cellular-level Optical Metabolic Imaging to Predict Drug Response in CancerR01CA185747 · NCI · VANDERBILT UNIVERSITY · PI SKALA, MELISSA CAROLINE · 2014 to 2019
$1.6M
3D biomimetic image-based stromal models of pancreatic cancer for drug screeningR21CA224280 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPAGNOLA, PAUL J, SKALA, MELISSA CAROLINE · 2018 to 2019
$373k
NCATS NIH HHS U01 TR002383NCI NIH HHS P01 CA250972NCI NIH HHS P30 CA014520NCI NIH HHS R01 CA185747NCI NIH HHS R01 CA205101NCI NIH HHS R01 CA211082NCI NIH HHS R21 CA224280NCI NIH HHS R37 CA226526NEI NIH HHS U01 EY032333NIA NIH HHS T32 AG000213
6 · The paper itself

Abstract

Patient-derived cancer organoids (PDCOs) are organotypic 3D cultures grown from patient tumor samples. PDCOs provide an exciting opportunity to study drug response and heterogeneity within and between patients. This research can guide new drug development and inform clinical treatment planning. We review technologies to assess PDCO drug response and heterogeneity, discuss best practices for clinically relevant drug screens, and assert the importance of quantifying single-cell and organoid heterogeneity to characterize response. Autofluorescence imaging of PDCO growth and metabolic activity is highlighted as a compelling method to monitor single-cell and single-organoid response robustly and reproducibly. We also speculate on the future of PDCOs in clinical practice and drug discovery.Future development will require standardization of assessment methods for both morphology and function in PDCOs, increased throughput for new drug development, prospective validation with patient outcomes, and robust classification algorithms.

Indexed as

NeoplasmsOrganoidsDrug DiscoveryHumansOptical Imagingassay developmentcancer treatmentoptical microscopyorganotypic culturesprecision medicinesingle-cell assessment

Identifiers

PMID35259932
PMCPMC9177801
OpenAlexW4220892033

What OpenQuestion holds

Textmetadata
LicenceTDM
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.