Evidence map›Paper›PMID 33537376›Full record

ArticleData in brief2021

Data of relative mRNA and protein abundances of androgen receptor splice variants in castration-resistant prostate cancer.

Tianfang Ma, Nathan Ungerleider, Derek Y Zhang, Eva Corey, Erik K Flemington, Yan Dong

Open access · goldAbstract read
In one paragraph

Article in Data in brief, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Tianfang MaDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, USA.
Nathan UngerleiderDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, USA.
Derek Y ZhangLusher Charter School, New Orleans, LA 70115, USA.
Eva CoreyDepartment of Urology, University of Washington, Seattle, WA, USA.
Erik K FlemingtonDepartment of Pathology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, USA.
Yan DongDepartment of Structural and Cellular Biology, Tulane University School of Medicine, Tulane Cancer Center, New Orleans, LA, USA.
Tulane University · USInternational Charter School · USUniversity of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

These data include secondary analysis of publicly available RNA-seq data from castration-resistant prostate cancer (CRPC) patients as well as RT-qPCR and Western blotting analyses of patient-derived xenograft models and a CRPC cell line. We applied Spearman correlation analysis to assess the relationship between canonical androgen receptor (AR) splicing and alternative AR splicing. We also assessed the ratio of AR splice variants (AR-Vs) to the full-length AR (AR-FL) at the RNA and protein levels by absolute RT-qPCR and Western blotting, respectively. These data are critical for studying the mechanisms underlying upregulated expression of AR-Vs after AR-directed therapies and the importance of AR-Vs to castration-resistant progression of prostate cancer. Data presented here are related to the research article by Ma et al., "Increased transcription and high translation efficiency lead to accumulation of androgen receptor splice variant after androgen deprivation therapy", Cancer Lett. In Press [1].

Indexed as

Androgen deprivation therapyAndrogen receptorCastration-resistant prostate cancerSplice variants

Identifiers

PMID33537376
PMCPMC7843390
OpenAlexW3122965712

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.