Evidence map›Paper›PMID 21245843›Full record

ArticleNature communications2011

Tumour-initiating stem-like cells in human prostate cancer exhibit increased NF-κB signalling.

Vinagolu K Rajasekhar, Lorenz Studer, William Gerald, Nicholas D Socci, Howard I Scher

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed
26.7field-weighted citation impact, top 1% 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

159 citing papers in PubMed, 257 citations in OpenAlex.

  1. Review
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  4. Translational cancer research · 2025
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  13. Cancer Stem Cells and Prostate Cancer: A Narrative Review.International journal of molecular sciences · 2023
    Review
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  15. Review
  16. Selective ablation of TRA-1-60Theranostics · 2023
    Article
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  19. Article
  20. Review

99 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

5 authors at 2 institutions in 1 country.

Vinagolu K Rajasekhar1] Stem Cell Center and Developmental Biology Program, Sloan-Kettering Institute, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA. [2] Sidney Kimmel Center for Prostate and Urologic Cancers, Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, USA.
Lorenz Studer
William Gerald
Nicholas D Socci
Howard I Scher
Memorial Sloan Kettering Cancer Center · USKettering University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Androgen depletion is a key strategy for treating human prostate cancer, but the presence of hormone-independent cells escaping treatment remains a major therapeutic challenge. Here, we identify a minor subset of stem-like human prostate tumour-initiating cells (TICs) that do not express prostate cancer markers, such as androgen receptor or prostate specific antigen. These TICs possess stem cell characteristics and multipotency as demonstrated by in vitro sphere-formation and in vivo tumour-initiation, respectively. The cells represent an undifferentiated subtype of basal cells and can be purified from prostate tumours based on coexpression of the human pluripotent stem cell marker TRA-1-60 with CD151 and CD166. Such triple-marker-positive TICs recapitulate the original parent tumour heterogeneity in serial xeno-transplantations indicating a tumour cell hierarchy in human prostate cancer development. These TICs exhibit increased nuclear factor-κB activity. These findings are important in understanding the molecular basis of human prostate cancer.

Identifiers

PMID21245843
PMCPMC3105310
OpenAlexW1971759686

What OpenQuestion holds

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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.