Evidence map›Paper›PMID 36703078›Full record

ArticleBritish journal of cancer2023

Plasma extracellular vesicle circRNA signature and resistance to abiraterone in metastatic castration-resistant prostate cancer.

Wen Tao, Zi-Huan Luo, Ya-Di He, Bang-Yu Wang, Tao-Lin Xia, Wei-Ming Deng, Ling-Xiao Zhang, Xiu-Mei Tang, Zhan-Ao Meng, Xin Gao and 1 more

Open access · greenAbstract read
In one paragraph

Article in British journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Nanoparticles-Delivered Circular RNA Strategy as a Novel Antitumor Approach.International journal of molecular sciences · 2024
    Review
  9. Directed Circularization of a Short RNA.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  10. Exploring Circular RNA Profile and Expression in Extracellular Vesicles.Methods in molecular biology (Clifton, N.J.) · 2024
    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

11 authors at 3 institutions in 1 country.

Wen Tao *Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Zi-Huan Luo *Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Ya-Di He *Center of Health Management, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Bang-Yu Wang *Department of Breast Surgery, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Tao-Lin XiaDepartment of Urology, Foshan First Municipal People's Hospital, Sun Yat-sen University, 528000, Foshan, China.
Wei-Ming DengDepartment of Urology, The First Affiliated Hospital, University of South China, 421000, Hengyang, China.
Ling-Xiao ZhangDepartment of Urology, The First Affiliated Hospital, Hainan Medical University, 570102, Haikou, China.
Xiu-Mei TangCenter of Health Management, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Zhan-Ao MengDepartment of Radiology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China.
Xin GaoDepartment of Urology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China. jhl_0239@126.com.
Liao-Yuan LiDepartment of Urology, The Third Affiliated Hospital, Sun Yat-sen University, 510630, Guangzhou, China. liliaoy@mail.sysu.edu.cn.ORCID 0000-0002-5328-6802
Sun Yat-sen University · CNFirst Affiliated Hospital of University of South China · CNHainan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to develop and validate a plasma extracellular vesicle circular RNA (circRNA)-based signature that can predict overall survival (OS) in first-line abiraterone therapy for metastatic castration-resistant prostate cancer (mCRPC) patients.

methodsIn total, 582 mCRPC patients undergoing first-line abiraterone therapy from four institutions were sorted by three phases. In the discovery phase, 30 plasma samples from 30 case-matched patients with or without early progression were obtained to generate circRNA expression profiles using RNA sequencing. In the training phase, differentially expressed circRNAs were examined using digital droplet PCR in a training cohort (n = 203). The circRNA signature was constructed using a least absolute shrinkage and selection operator Cox regression to predict OS. In the validation phase, the prognostic ability of this signature was prospectively validated in two external cohorts (Cohort I, n = 183; Cohort II, n = 166).

resultsWe developed a five-circRNA signature, based on circCEP112, circFAM13A, circBRWD1, circVPS13C and circMACROD2, which successfully stratified patients into high-risk and low-risk groups. The prognostic ability of this signature was prospectively validated in two external cohorts (P < 0.0001, P < 0.0001). Patients with high-risk scores had shorter OS than patients with low-risk scores.

conclusionThis five-circRNA signature is a reliable predictor of OS for mCRPC patients undergoing abiraterone.

Indexed as

Prostatic Neoplasms, Castration-ResistantRNA, CircularAbiraterone AcetateAndrostenesHumansMaleProstate-Specific AntigenTreatment OutcomeabirateroneAbiraterone AcetateAndrostenesProstate-Specific AntigenRNA, Circular

Identifiers

PMID36703078
PMCPMC10050318
OpenAlexW4318067853

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.