Evidence map›Paper›PMID 29845679›Full record

ReviewStem cells (Dayton, Ohio)2018

Concise Review: Prostate Cancer Stem Cells: Current Understanding.

Sergej Skvortsov, Ira-Ida Skvortsova, Dean G Tang, Anna Dubrovska

Abstract readReview
In one paragraph

Review in Stem cells (Dayton, Ohio), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers.

0numbers the graph read from it
0cells of the map it votes in
74citing 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

74 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. International journal of molecular sciences · 2025
    Article
  6. Frontiers in physiology · 2025
    Article
  7. Current advancements in nanotechnology for stem cells.International journal of surgery (London, England) · 2024
    Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Prostate Cancer Stem Cells: Biology and Treatment Implications.International journal of molecular sciences · 2023
    Review
  20. Article

14 more citing papers are in PubMed but not listed here.

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

4 authors.

Sergej SkvortsovLaboratory for Experimental and Translational Research on Radiation Oncology (EXTRO-Lab), Department of Therapeutic Radiology and Oncology, Innsbruck Medical University, Innsbruck, Austria.
Ira-Ida SkvortsovaLaboratory for Experimental and Translational Research on Radiation Oncology (EXTRO-Lab), Department of Therapeutic Radiology and Oncology, Innsbruck Medical University, Innsbruck, Austria.
Dean G TangDepartment of Pharmacology and Therapeutics, Roswell Park Cancer Institute, Buffalo, New York, USA.
Anna DubrovskaOncoRay-National Center for Radiation Research in Oncology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden and Helmholtz-Zentrum Dresden-Rossendorf, Dresden, Germany, Helmholtz-Zentrum Dresden-Rossendorf, Institute of Radiooncology-OncoRay, Dresden, Germany; German Cancer Consortium (DKTK), partner site Dresden, and German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0002-3375-1500

Funding

Two-Spirit Films in Indigenous Cancer HealthP30CA016056 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 1985 to 2026
$116.6M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
Novel Therapeutic Strategies to Co-Target Undifferentiated Prostate Cancer (PCa) Stem Cells and Bulk PCa CellsR01CA240290 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI Dean G. Tang · 2019 to 2026
$3.1M
Tumor-Suppressive Functions and Molecular Regulation of LRIG1 in Prostate Cancer and CRPCR01CA237027 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI TANG, DEAN G. · 2019 to 2023
$2.2M
Decoding NanogP8 in TumorigenesisR01CA155693 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI TANG, DEAN G. · 2012 to 2016
$1.6M
Correlative efficacy, biomarker, and mechanistic studies associated with a phase Ib/II clinical trial of treating mCRPC patients with enzalutamide and VenetoclaxR21CA237939 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI TANG, DEAN G. · 2020 to 2021
$449k
Slow-cycling cells, therapy resistance and clinical implications in prostate cancerR21CA218635 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI TANG, DEAN G. · 2018 to 2019
$404k
Austrian Science Fund FWF P 29457NCI center P30CA016056NCI NIH HHS P30 CA016056NCI NIH HHS R01 CA155693NCI NIH HHS R01 CA237027NCI NIH HHS R01 CA240290NCI NIH HHS R21 CA218635NCI NIH HHS R21 CA237939NIDDK NIH HHS P30 DK017047U.S. National Institutes of Health (NIH) R01-CA155693
6 · The paper itself

Abstract

Prostate cancer (PCa) is heterogeneous, harboring phenotypically diverse cancer cell types. PCa cell heterogeneity is caused by genomic instability that leads to the clonal competition and evolution of the cancer genome and by epigenetic mechanisms that result in subclonal cellular differentiation. The process of tumor cell differentiation is initiated from a population of prostate cancer stem cells (PCSCs) that possess many phenotypic and functional properties of normal stem cells. Since the initial reports on PCSCs in 2005, there has been much effort to elucidate their biological properties, including unique metabolic characteristics. In this Review, we discuss the current methods for PCSC enrichment and analysis, the hallmarks of PCSC metabolism, and the role of PCSCs in tumor progression. Stem Cells 2018;36:1457-1474.

Indexed as

Cell DifferentiationCell Line, TumorHumansMaleNeoplastic Stem CellsProstatic NeoplasmsCancerCancer stem cellsHeterogeneityMetabolismProstate

Identifiers

PMID29845679
PMCPMC7903656

What OpenQuestion holds

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LicenceTDM
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.