Evidence map›Paper›PMID 40223602›Full record

ReviewBiology of the cell2025

Integration of Organoids With CRISPR Screens: A Narrative Review.

Rushikesh Mukhare, Khushboo A Gandhi, Anushree Kadam, Aishwarya Raja, Ankita Singh, Mrudula Madhav, Rohan Chaubal, Shwetali Pandey, Sudeep Gupta

Abstract readReview
In one paragraph

Review in Biology of the cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Exploring endometriosis through 3DMaterials today. Bio · 2026
    Review
  7. Review
  8. Review
  9. Review
  10. Review
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Review
  20. NAM journal · 2025
    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

9 authors.

Rushikesh MukhareClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Khushboo A GandhiClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Anushree KadamClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Aishwarya RajaClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Ankita SinghClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Mrudula MadhavClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Rohan ChaubalClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Shwetali PandeyClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.
Sudeep GuptaClinical Genomics and Hypoxia Lab (Clinician Scientist Laboratory), Advanced Centre for Treatment, Research, and Education in Cancer, Tata Memorial Centre, Navi Mumbai, Maharashtra, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Organoids represent a significant advancement in disease modeling, demonstrated by their capacity to mimic the physiological/pathological structure and functional characteristics of the native tissue. Recently CRISPR/Cas9 technology has emerged as a powerful tool in combination with organoids for the development of novel therapies in preclinical settings. This review explores the current literature on applications of pooled CRISPR screening in organoids and the emerging role of these models in understanding cancer. We highlight the evolution of genome-wide CRISPR gRNA library screens in organoids, noting their increasing adoption in the field over the past decade. Noteworthy studies utilizing these screens to investigate oncogenic vulnerabilities and developmental pathways in various organoid systems are discussed. Despite the promise organoids hold, challenges such as standardization, reproducibility, and the complexity of data interpretation remain. The review also addresses the ideas of assessing tumor organoids (tumoroids) against established cancer hallmarks and the potential of studying intercellular cooperation within these models. Ultimately, we propose that organoids, particularly when personalized for patient-specific applications, could revolutionize drug screening and therapeutic approaches, minimizing the reliance on traditional animal models and enhancing the precision of clinical interventions.

Indexed as

CRISPR-Cas SystemsNeoplasmsOrganoidsAnimalsGene EditingHumansclustered regularly interspaced short palindromic repeats (CRISPR)librariesneoplasmsorganoidpersonalized medicinescreening

Identifiers

PMID40223602
PMCPMC11995251

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.