Evidence map›Paper›PMID 34359692›Full record

ReviewCancers2021

Extracellular Vesicles in Advanced Prostate Cancer: Tools to Predict and Thwart Therapeutic Resistance.

Carolina Saldana, Amene Majidipur, Emma Beaumont, Eric Huet, Alexandre de la Taille, Francis Vacherot, Virginie Firlej, Damien Destouches

Abstract readReview
In one paragraph

Review in Cancers, 2021. 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
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.

  1. Review
  2. Article
  3. Review
  4. Overexpression of Nucleolin and Associated Genes in Prostate Cancer.International journal of molecular sciences · 2022
    Article
  5. Article
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

8 authors.

Carolina SaldanaUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.
Amene MajidipurUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.
Emma BeaumontUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.
Eric HuetUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.ORCID 0000-0002-5541-5954
Alexandre de la TailleUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.
Francis VacherotUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.
Virginie FirlejUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.ORCID 0000-0003-4132-0695
Damien DestouchesUniv Paris Est Creteil, TRePCa, F-94010 Creteil, France.ORCID 0000-0003-4959-2580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is the second most frequent cancer and the fifth leading cause of cancer death among men worldwide. At first, advanced PCa is treated by androgen deprivation therapy with a good initial response. Nevertheless, recurrences occur, leading to Castrate-Resistance Prostate Cancer (CRPC). During the last decade, new therapies based on inhibition of the androgen receptor pathway or taxane chemotherapies have been used to treat CRPC patients leading to an increase in overall survival, but the occurrence of resistances limits their benefits. Numerous studies have demonstrated the implication of extracellular vesicles (EVs) in different cancer cellular mechanisms. Thus, the possibility to isolate and explore EVs produced by tumor cells in plasma/sera represents an important opportunity for the deciphering of those mechanisms and the discovery of biomarkers. Herein, we summarized the role of EVs in therapeutic resistance of advanced prostate cancer and their use to find biomarkers able to predict these resistances.

Indexed as

extracellular vesiclespredictive biomarkersprostate cancertherapeutic resistances

Identifiers

PMID34359692
PMCPMC8345194

What Socratic 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 Socratic graph.