Evidence map›Paper›PMID 25404182›Full record

ReviewCurrent urology reports2015

Reprogramming of prostate cancer cells--technical challenges.

Gisely T Borges, Eneida F Vêncio, Ricardo Z N Vêncio, Robert L Vessella, Carol B Ware, Alvin Y Liu

Open access · greenAbstract readReview
PubMed Publisher
In one paragraph

Review in Current urology reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact, top 93% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Computational Network Analysis for Defining Transcriptional Programs.Methods in molecular biology (Clifton, N.J.) · 2027
    Article
  2. Review
  3. Review
  4. Article
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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

6 authors at 3 institutions in 2 countries.

Gisely T BorgesSchool of Pharmacology, Federal University of Goiás, Goiânia, Brazil, gisa_borges5@hotmail.com.
Eneida F Vêncio
Ricardo Z N Vêncio
Robert L Vessella
Carol B Ware
Alvin Y Liu
University of Washington · USUniversidade Federal de Goiás · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer progression is characterized by tumor dedifferentiation. Cancer cells of less differentiated tumors have a gene expression/transcriptome more similar to that of stem cells. In dedifferentiation, cancer cells may follow a specific program of gene expression changes to a stem-like state. In order to treat cancer effectively, the stem-like cancer cells and cancer differentiation pathway need to be identified and studied. Due to the very low abundance of stem-like cancer cells, their isolation from fresh human tumors is technically challenging. Induced pluripotent stem cell technology can reprogram differentiated cells into stem-like, and this may be a tool to generate sufficient stem-like cancer cells.

Indexed as

Cell DedifferentiationCellular ReprogrammingInduced Pluripotent Stem CellsProstatic NeoplasmsCell Line, TumorHumansMaleNeoplastic Stem CellsPrincipal Component AnalysisProstate

Identifiers

PMID25404182
OpenAlexW2008153246

What OpenQuestion holds

Textmetadata
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.