Evidence map›Paper›PMID 22038727›Full record

ArticleMedical oncology (Northwood, London, England)2012

Compensatory and non-compensatory effects on protein expression following BCL-2 suppression by antisense oligonucleotides.

Marvin Rubenstein, Courtney M P Hollowell, Patrick Guinan

Abstract read
PubMed Publisher
In one paragraph

Article in Medical oncology (Northwood, London, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Marvin RubensteinDivision of Cellular Biology, Hektoen Institute for Medical Research, 2240 West Ogden Avenue, 2nd Floor, Chicago, IL 60612, USA. DrMarv@Prodigy.net
Courtney M P Hollowell
Patrick Guinan
John H. Stroger, Jr. Hospital of Cook County · USHektoen Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antisense oligonucleotides (oligos) have been employed against in vivo and in vitro prostate cancer models targeting growth regulatory proteins. In LNCaP cells, we evaluated both monospecific and bispecific oligos that targeted and comparably suppressed the expression of bcl-2, an apoptosis inhibitory protein. Cells compensated with both suppressed caspase-3 (an apoptosis promoter) activity, and an enhancement of both androgen receptor (AR) and p300 expression. This suggests that a progression to increased androgen sensitivity accompanies bcl-2 suppression, in this tumor line. To further evaluate mechanisms of adaptation, we now evaluate the effects upon the expression of insulin-like growth factor (IGF1) and another AR coactivator, IL-4, thought to increase prostate cancer growth. IGF1 expression was not significantly altered suggesting this pathway need not be regulated when bcl-2 directed gene therapy is employed. In contrast to increased AR and p300 expression that compensated for bcl-2 suppression, the AR coactivator IL-4 expression was not increased, suggesting no role in any increased androgen sensitivity.

Indexed as

Gene Expression Regulation, NeoplasticCell Line, TumorGenes, bcl-2HumansInsulin-Like Growth Factor IInterleukin-4MaleOligonucleotides, AntisenseProstatic NeoplasmsProto-Oncogene Proteins c-bcl-2Receptors, AndrogenReverse Transcriptase Polymerase Chain ReactionInsulin-Like Growth Factor IInterleukin-4Oligonucleotides, AntisenseProto-Oncogene Proteins c-bcl-2Receptors, Androgen

Identifiers

PMID22038727
OpenAlexW2060252013

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.