Evidence map›Paper›PMID 12099575›Full record

ReviewInvestigational new drugs2002

Targeting anti-apoptotic genes upregulated by androgen withdrawal using antisense oligonucleotides to enhance androgen- and chemo-sensitivity in prostate cancer.

Martin E Gleave, Toby Zellweger, Kim Chi, Hideaki Miyake, Satoshi Kiyama, Laura July, Simon Leung

Abstract readReview
PubMed Publisher
In one paragraph

Review in Investigational new drugs, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
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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

7 authors at 2 institutions in 1 country.

Martin E GleaveThe Prostate Centre, Vancouver General Hospital, British Columbia, Canada.
Toby Zellweger
Kim Chi
Hideaki Miyake
Satoshi Kiyama
Laura July
Simon Leung
Vancouver General Hospital · CAUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main obstacle to improved survival of advanced prostate cancer is our failure to prevent its progression to its lethal and untreatable stage of androgen independence. New therapeutic strategies designed to prevent androgen-independent (AI) progression must be developed before significant impact on survival can be achieved. Characterization of changes in gene expression profiles after androgen ablation and during progression to androgen-independence suggest that the various therapies used to kill neoplastic cells may precipitate changes in gene expression that lead to the resistant phenotype. Castration-induced increases in antiapoptosis genes, Bcl-2 and clusterin, help create a resistant phenotype, while antisense oligonucleotides can inhibit these adaptive cell survival mechanisms and enhance both hormone and chemotherapy. Ongoing efforts are necessary to identify additional molecular pathways mediating AI progression and chemoresistance, since complexities of tumor heterogeneity and adaptability dictate that optimal control over tumor progression will require multi-target systemic therapies.

Indexed as

Oligonucleotides, AntisenseProstatic NeoplasmsAdenocarcinomaAntineoplastic Agents, PhytogenicApoptosisClusterinGenes, bcl-2GlycoproteinsHumansMaleMolecular ChaperonesPaclitaxelReceptors, AndrogenThionucleotidesUp-RegulationAntineoplastic Agents, PhytogenicCLU protein, humanClusterinGlycoproteinsMolecular ChaperonesOligonucleotides, AntisensePaclitaxelReceptors, AndrogenThionucleotides

Identifiers

PMID12099575
OpenAlexW2167646022

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.