Evidence map›Paper›PMID 25844599›Full record

Trial reportOncotarget2015

Molecular profiling of prostate cancer derived exosomes may reveal a predictive signature for response to docetaxel.

Pedram Kharaziha, Dimitris Chioureas, Dorothea Rutishauser, George Baltatzis, Lena Lennartsson, Pedro Fonseca, Alireza Azimi, Kjell Hultenby, Roman Zubarev, Anders Ullén and 3 more

Open access · diamondAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 85 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
85citing papers in PubMed, 2 pooled it
7.5field-weighted citation impact, top 2% 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

85 citing papers in PubMed, 2 syntheses or guidelines pooled it, 146 citations in OpenAlex.

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25 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

13 authors at 3 institutions in 2 countries.

Pedram KharazihaDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Dimitris ChioureasDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Dorothea RutishauserDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet and University Hospital, Stockholm, Sweden.
George BaltatzisDepartment of Medicine, School of Health Sciences, University of Athens, Athens, Greece.
Lena LennartssonDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Pedro FonsecaDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Alireza AzimiDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Kjell HultenbyDepartment of Laboratory Medicine, Karolinska Institutet and University Hospital, Huddinge, Sweden.
Roman ZubarevDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Anders UllénDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Jeffrey YachninDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Sten NilssonDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Theocharis PanaretakisDepartment of Oncology-Pathology, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SENational and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Docetaxel is a cornerstone treatment for metastatic, castration resistant prostate cancer (CRPC) which remains a leading cause of cancer-related deaths, worldwide. The clinical usage of docetaxel has resulted in modest gains in survival, primarily due to the development of resistance. There are currently no clinical biomarkers available that predict whether a CRPC patient will respond or acquire resistance to this therapy. Comparative proteomics analysis of exosomes secreted from DU145 prostate cancer cells that are sensitive (DU145 Tax-Sen) or have acquired resistance (DU145 Tax-Res) to docetaxel, demonstrated significant differences in the amount of exosomes secreted and in their molecular composition. A panel of proteins was identified by proteomics to be differentially enriched in DU145 Tax-Res compared to DU145 Tax-Sen exosomes and was validated by western blotting. Importantly, we identified MDR-1, MDR-3, Endophilin-A2 and PABP4 that were enriched only in DU145 Tax-Res exosomes. We validated the presence of these proteins in the serum of a small cohort of patients. DU145 cells that have uptaken DU145 Tax-Res exosomes show properties of increased matrix degradation. In summary, exosomes derived from DU145 Tax-Res cells may be a valuable source of biomarkers for response to therapy.

Indexed as

Drug Resistance, NeoplasmAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily BBiomarkers, TumorBlood ProteinsCell DeathCell Line, TumorCohort StudiesComputational BiologyDocetaxelExosomesExtracellular MatrixHumansIntracellular Signaling Peptides and ProteinsMaleNanoparticlesABCB1 protein, humanAntineoplastic AgentsATP Binding Cassette Transporter, Subfamily BBiomarkers, TumorBlood ProteinscabazitaxelDocetaxelIntracellular Signaling Peptides and Proteinsmultidrug resistance protein 3PABPC4 protein, humanPoly(A)-Binding ProteinsProteomeSH3GL1 protein, humanTaxoidsbiomarkersdocetaxelexosomesprostate cancerresistance

Identifiers

PMID25844599
PMCPMC4673300
OpenAlexW1902243229

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.