Evidence map›Paper›PMID 38256166›Full record

ReviewInternational journal of molecular sciences2024

Organoids: An Emerging Precision Medicine Model for Prostate Cancer Research.

Mohammad Waseem, Bi-Dar Wang

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Metabolic and imaging phenotypes associated withbioRxiv : the preprint server for biology · 2025
    Article
  9. MBsBMC cancer · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Tumor-microenvironment-on-a-chip: the construction and application.Cell communication and signaling : CCS · 2024
    Review
  14. Review
  15. 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 at 2 institutions in 1 country.

Mohammad WaseemDepartment of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.ORCID 0000-0002-1708-0137
Bi-Dar WangDepartment of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA.ORCID 0000-0002-2530-7020
University of Maryland, Baltimore · USUniversity of Maryland Eastern Shore · US

Funding

Aberrant Splice Variants as Potential Precision Biomarkers for Aggressive Prostate Cancers in African American PatientsSC1GM127256 · NIGMS · UNIVERSITY OF MARYLAND EASTERN SHORE · PI WANG, BI-DAR · 2019 to 2022
$1.6M
NIGMS NIH HHS SC1 GM127256
6 · The paper itself

Abstract

Prostate cancer (PCa) has been known as the most prevalent cancer disease and the second leading cause of cancer mortality in men almost all over the globe. There is an urgent need for establishment of PCa models that can recapitulate the progress of genomic landscapes and molecular alterations during development and progression of this disease. Notably, several organoid models have been developed for assessing the complex interaction between PCa and its surrounding microenvironment. In recent years, PCa organoids have been emerged as powerful in vitro 3D model systems that recapitulate the molecular features (such as genomic/epigenomic changes and tumor microenvironment) of PCa metastatic tumors. In addition, application of organoid technology in mechanistic studies (i.e., for understanding cellular/subcellular and molecular alterations) and translational medicine has been recognized as a promising approach for facilitating the development of potential biomarkers and novel therapeutic strategies. In this review, we summarize the application of PCa organoids in the high-throughput screening and establishment of relevant xenografts for developing novel therapeutics for metastatic, castration resistant, and neuroendocrine PCa. These organoid-based studies are expected to expand our knowledge from basic research to clinical applications for PCa diseases. Furthermore, we also highlight the optimization of PCa cultures and establishment of promising 3D organoid models for in vitro and in vivo investigations, ultimately facilitating mechanistic studies and development of novel clinical diagnosis/prognosis and therapies for PCa.

Indexed as

Precision MedicineProstatic NeoplasmsEpigenomicsHumansMaleOrganoidsProstateTumor Microenvironment3D modelcastration resistant prostate cancer (CRPC)in vitro and in vivo modelsneuroendocrine prostate cancer (NEPC)organoidsprecision medicineprostate cancer

Identifiers

PMID38256166
PMCPMC10816550
OpenAlexW4390913367

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.