Evidence map›Paper›PMID 27446916›Full record

ArticleFrontiers in cell and developmental biology2016

Personalized Medicine Approaches in Prostate Cancer Employing Patient Derived 3D Organoids and Humanized Mice.

Monica Bartucci, Anna C Ferrari, Isaac Yi Kim, Alexander Ploss, Martin Yarmush, Hatem E Sabaawy

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

22 citing papers in PubMed, 31 citations in OpenAlex.

  1. Targeted Cancer Therapy-on-A-Chip.Advanced healthcare materials · 2024
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Addressing Patient Specificity in the Engineering of Tumor Models.Frontiers in bioengineering and biotechnology · 2019
    Review
  19. Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Monica BartucciRutgers Cancer Institute of New Jersey, Rutgers University New Brunswick, NJ, USA.
Anna C FerrariRutgers Cancer Institute of New Jersey, Rutgers University New Brunswick, NJ, USA.
Isaac Yi KimRutgers Cancer Institute of New Jersey, Rutgers University New Brunswick, NJ, USA.
Alexander PlossRutgers Cancer Institute of New Jersey, Rutgers UniversityNew Brunswick, NJ, USA; Department of Molecular Biology, Princeton UniversityPrinceton, NJ, USA.
Martin YarmushCenter for Engineering in Medicine, Shriners Hospitals for Children and Department of Surgery, Massachusetts General Hospital, Harvard Medical SchoolBoston, MA, USA; Department of Biomedical Engineering, Rutgers UniversityNew Brunswick, NJ, USA.
Hatem E SabaawyRutgers Cancer Institute of New Jersey, Rutgers UniversityNew Brunswick, NJ, USA; Department of Medicine, Rutgers Biomedical and Health Sciences (RBHS)-Robert Wood Johnson Medical School, Rutgers UniversityNew Brunswick, NJ, USA.
Rutgers, The State University of New Jersey · USPrinceton University · USShriners Hospitals for Children - Erie · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

Prostate cancer (PCa) is the most common malignancy and the second most common cause of cancer death in Western men. Despite its prevalence, PCa has proven very difficult to propagate in vitro. PCa represents a complex organ-like multicellular structure maintained by the dynamic interaction of tumoral cells with parenchymal stroma, endothelial and immune cells, and components of the extracellular matrix (ECM). The lack of PCa models that recapitulate this intricate system has hampered progress toward understanding disease progression and lackluster therapeutic responses. Tissue slices, monolayer cultures and genetically engineered mouse models (GEMM) fail to mimic the complexities of the PCa microenvironment or reproduce the diverse mechanisms of therapy resistance. Moreover, patient derived xenografts (PDXs) are expensive, time consuming, difficult to establish for prostate cancer, lack immune cell-tumor regulation, and often tumors undergo selective engraftments. Here, we describe an interdisciplinary approach using primary PCa and tumor initiating cells (TICs), three-dimensional (3D) tissue engineering, genetic and morphometric profiling, and humanized mice to generate patient-derived organoids for examining personalized therapeutic responses in vitro and in mice co-engrafted with a human immune system (HIS), employing adaptive T-cell- and chimeric antigen receptor- (CAR) immunotherapy. The development of patient specific therapies targeting the vulnerabilities of cancer, when combined with antiproliferative and immunotherapy approaches could help to achieve the full transformative power of cancer precision medicine.

Indexed as

organoidsprecision medicineprecision therapeuticsprostate cancer

Identifiers

PMID27446916
PMCPMC4917534
OpenAlexW4243727869

What OpenQuestion 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 OpenQuestion graph.