Evidence map›Paper›PMID 35629212›Full record

ReviewJournal of personalized medicine2022

Application of Patient-Derived Cancer Organoids to Personalized Medicine.

Masahiro Shiihara, Toru Furukawa

Abstract readReview
In one paragraph

Review in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Prostate Cancer Organoids for Tumor Modeling and Drug Screening.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Review
  7. Organoids: opportunities and challenges of cancer therapy.Frontiers in cell and developmental biology · 2023
    Review
  8. Review
  9. Review
  10. Review on Advanced Cancer Modeling for a Cancer Study.Current issues in molecular biology · 2022
    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

2 authors.

Masahiro ShiiharaDepartment of Investigative Pathology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan.
Toru FurukawaDepartment of Investigative Pathology, Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan.ORCID 0000-0002-1083-2324

Funding

Japan Society for the Promotion of Science JP22H02839Pancreas Research Foundation of Japan N.A.
6 · The paper itself

Abstract

Cell models are indispensable for the research and development of cancer therapies. Cancer medications have evolved with the establishment of various cell models. Patient-derived cell lines are very useful for identifying characteristic phenotypes and susceptibilities to anticancer drugs as well as molecularly targeted therapies for tumors. However, conventional 2-dimensional (2D) cell cultures have several drawbacks in terms of engraftment rate and phenotypic changes during culture. The organoid is a recently developed in vitro model with cultured cells that form a three-dimensional structure in the extracellular matrix. Organoids have the capacity to self-renew and can organize themselves to resemble the original organ or tumor in terms of both structure and function. Patient-derived cancer organoids are more suitable for the investigation of cancer biology and clinical medicine than conventional 2D cell lines or patient-derived xenografts. With recent advances in genetic analysis technology, the genetic information of various tumors has been clarified, and personalized medicine based on genetic information has become clinically available. Here, we have reviewed the recent advances in the development and application of patient-derived cancer organoids in cancer biology studies and personalized medicine. We have focused on the potential of organoids as a platform for the identification and development of novel targeted medicines for pancreatobiliary cancer, which is the most intractable cancer.

Indexed as

cancerorganoidpatient-derived cancer modelpersonalized medicineprecision medicine

Identifiers

PMID35629212
PMCPMC9146789

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.