Evidence map›Paper›PMID 37643783›Full record

ArticleCancer genomics & proteomics

Taku Kato, Kyojiro Kawakami, Kosuke Mizutani, Tatsuya Ando, Yasuhiro Sakai, Kouhei Sakurai, Shohei Toyota, Hidetoshi Ehara, Hiroyasu Ito, Masafumi Ito

Open access · diamondAbstract read
In one paragraph

Article in Cancer genomics & proteomics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

10 authors at 5 institutions in 1 country.

Taku KatoDepartment of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake, Japan; taku.kato.cp@fujita-hu.ac.jp.
Kyojiro KawakamiResearch Team for Functional Biogerontology, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Kosuke MizutaniDepartment of Urology, Central Japan International Medical Center, Gifu, Japan.
Tatsuya AndoDepartment of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Yasuhiro SakaiDepartment of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Kouhei SakuraiDepartment of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Shohei ToyotaDepartment of Urology, Asahi University Hospital, Gifu, Japan.
Hidetoshi EharaDepartment of Urology, Asahi University Hospital, Gifu, Japan.
Hiroyasu ItoDepartment of Joint Research Laboratory of Clinical Medicine, Fujita Health University School of Medicine, Toyoake, Japan.
Masafumi ItoResearch Team for Functional Biogerontology, Tokyo Metropolitan Institute of Gerontology, Tokyo, Japan.
Fujita Health University · JPAsahi University · JPTokyo Metropolitan Institute of Gerontology · JPFujita Health University Hospital · JPSaitama International Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimWe aimed to evaluate the changes of androgen receptor (AR) signaling-related long non-coding RNAs (lncRNAs) in serum extracellular vesicles (EVs) from prostate cancer (PC) patients, in order to identify novel biomarkers for AR axis-targeted therapy (ARAT)-resistance among castration-resistant PC (CRPC) patients. PATIENTS AND

methodsEVs were isolated from 2 patients before and after acquiring ARAT-resistance. RNA profiling of EVs was performed by RNA-sequencing. The expression levels of selected lncRNAs in EVs were analyzed by digital droplet PCR (ddPCR) in 58 localized and 14 metastatic PC patients at diagnosis, 7 ARAT-naïve and 6 ARAT-resistant CRPC patients. LncRNA H19 expression in PC tissue was examined using published data. In order to analyze the role of H19, the prognosis was analyzed in PC patients and proteomic analysis was performed in 22Rv1 PC cells.

resultsRNA-sequencing revealed that AR-regulated RNAs were most enriched in EVs after acquiring ARAT-resistance. Among them, up-regulation of AR signaling-related lncRNAs (PCAT1, H19, HOXA-11AS, ZEB1-AS1, ARLNC1, PART1, CTBP1-AS and PCA3) was confirmed by ddPCR. H19 contained in EVs (EV-H19) was significantly increased among ARAT-resistant patients compared to ARAT-naïve CRPC or metastatic PC patients. In PC tissue, H19 was negatively correlated with AR protein and AR-activity score and up-regulated in neuroendocrine CRPC tissue with low AR expression. Furthermore, EV-H19 expression was significantly associated with worse outcome to androgen-deprivation therapy. Proteomic analysis demonstrated that H19 knockdown enhanced PC-related protein expression.

conclusionEV-H19 may negatively correlate with AR-signaling activity and could be a marker to diagnose ARAT-resistance among CRPC patients.

Indexed as

Extracellular VesiclesProstatic Neoplasms, Castration-ResistantRNA, Long NoncodingAndrogen AntagonistsCell Line, TumorGene Expression Regulation, NeoplasticHumansMaleProteomicsAndrogen AntagonistsRNA, Long Noncodingandrogen receptor axis-targeted therapyCRPCextracellular vesiclesH19Prostate cancerRNA-sequencing

Identifiers

PMID37643783
PMCPMC10464938
OpenAlexW4386265454

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.