Evidence map›Paper›PMID 36077628›Full record

ReviewCancers2022

Genomic and Epigenomic Characterization of Tumor Organoid Models.

Chehyun Nam, Benjamin Ziman, Megha Sheth, Hua Zhao, De-Chen Lin

Abstract readReview
In one paragraph

Review in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Organoid technology in cancer research.Molecular biomedicine · 2026
    Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Harnessing Organoid Platforms for Nanoparticle Drug Development.Drug design, development and therapy · 2025
    Review
  11. Review
  12. Advancing cancer research through organoid technology.Journal of translational medicine · 2024
    Review
  13. Review
  14. A druggable cascade links methionine metabolism to epigenomic reprogramming in squamous cell carcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Review
  16. Three-DimensionalInternational journal of biological sciences · 2024
    Review
  17. 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

5 authors.

Chehyun NamCenter for Craniofacial Molecular Biology, Herman Ostrow School of Dentistry, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0001-8604-2313
Benjamin ZimanCenter for Craniofacial Molecular Biology, Herman Ostrow School of Dentistry, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0003-0951-3534
Megha ShethCenter for Craniofacial Molecular Biology, Herman Ostrow School of Dentistry, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.
Hua ZhaoCenter for Craniofacial Molecular Biology, Herman Ostrow School of Dentistry, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.
De-Chen LinCenter for Craniofacial Molecular Biology, Herman Ostrow School of Dentistry, and Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, CA 90033, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MYLES G COCKBURN · 1985 to 2026
$181.4M
Master regulator transcription factors promote esophageal neoplastic evolutionR37CA237022 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI LIN, DE-CHEN · 2020 to 2025
$2.7M
NCI NIH HHS P30 CA014089NCI NIH HHS P30CA014089NCI NIH HHS R37 CA237022NIH HHS R37CA237022
6 · The paper itself

Abstract

Tumor organoid modeling has been recognized as a state-of-the-art system for in vitro research on cancer biology and precision oncology. Organoid culture technologies offer distinctive advantages, including faithful maintenance of physiological and pathological characteristics of human disease, self-organization into three-dimensional multicellular structures, and preservation of genomic and epigenomic landscapes of the originating tumor. These features effectively position organoid modeling between traditional cell line cultures in two dimensions and in vivo animal models as a valid, versatile, and robust system for cancer research. Here, we review recent advances in genomic and epigenomic characterization of tumor organoids and the novel findings obtained, highlight significant progressions achieved in organoid modeling of gene-drug interactions and genotype-phenotype associations, and offer perspectives on future opportunities for organoid modeling in basic and clinical cancer research.

Indexed as

biomarkerepigenomicsgenomicsorganoidpatient-derived organoidpharmacogenomics

Identifiers

PMID36077628
PMCPMC9454968

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.