Evidence map›Paper›PMID 26668348›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2016

Association of SLCO2B1 Genotypes With Time to Progression and Overall Survival in Patients Receiving Androgen-Deprivation Therapy for Prostate Cancer.

Xiaodong Wang, Lauren C Harshman, Wanling Xie, Mari Nakabayashi, Fangfang Qu, Mark M Pomerantz, Gwo-Shu Mary Lee, Philip W Kantoff

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Association of Tissue Abiraterone Levels andClinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Trial
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Clinical and Novel Biomarkers in the Management of Prostate Cancer.Current treatment options in oncology · 2018
    Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Xiaodong WangAll authors: Dana-Farber Cancer Institute, Boston, MA.
Lauren C HarshmanAll authors: Dana-Farber Cancer Institute, Boston, MA.
Wanling XieAll authors: Dana-Farber Cancer Institute, Boston, MA.
Mari NakabayashiAll authors: Dana-Farber Cancer Institute, Boston, MA.
Fangfang QuAll authors: Dana-Farber Cancer Institute, Boston, MA.
Mark M PomerantzAll authors: Dana-Farber Cancer Institute, Boston, MA.
Gwo-Shu Mary LeeAll authors: Dana-Farber Cancer Institute, Boston, MA.
Philip W KantoffAll authors: Dana-Farber Cancer Institute, Boston, MA. philip_kantoff@dfci.harvard.edu.
Dana-Farber Cancer Institute · USHarvard University · US

Funding

Tumor and Circulating Markers as Links Between Obesity and Lethal Prostate CanceP50CA090381 · NCI · DANA-FARBER CANCER INSTITUTE · PI KANTOFF, PHILIP W · 2002 to 2017
$36.2M
NCI NIH HHS P50 CA090381NCI NIH HHS P50CA090381
6 · The paper itself

Abstract

purposeTo validate the association of three previously demonstrated SLCO2B1 germline variants with time to progression (TTP) in patients receiving androgen-deprivation therapy (ADT), and to evaluate if the SLCO2B1 genetic variants impacted overall survival (OS) for prostate cancer (PC). PATIENTS AND

methodsThree single nucleotide polymorphisms (SNPs), exonic SNP rs12422149 and intronic SNPs rs1789693 and rs1077858, were genotyped in an independent validation cohort of 616 patients with PC who were treated with ADT at the Dana-Farber Cancer Institute from 1996 to 2013. Multivariable Cox proportional hazards regression adjusting for known prognostic factors estimated the association of these genetic variants with TTP and OS in patients receiving ADT. The expression of SLCO2B1 was examined in prostatectomy samples, and the impact of SLCO2B1 expression level on DHEAS (dehydroepiandrosterone sulfate) uptake was evaluated in cell lines.

resultsThe association between exonic SNP rs12422149 and TTP in patients treated with ADT was confirmed in univariable (P = .019) and multivariable analyses (adjusted hazard ratio, 1.31; 95% CI, 1.00 to 1.72 for GG v AA/AG; P = .049). Because OS had not been previously evaluated, we examined the association in the combined initial and validation cohorts (N = 1,094). The intronic SNP rs1077858 was associated with OS in both univariable (P = .009; Bonferroni's method adjusted P = .027) and multivariable analyses (adjusted hazard ratio, 1.35; 95% CI, 1.07 to 1.71 for GG v AA/AG; P = .012). SLCO2B1 expression in normal prostate tissue and in 22RV1 cells carrying the major allele of SNP rs1077858 was significantly lower than in cells carrying the risk allele. We show in vitro that SLCO2B1 expression levels correlated with DHEAS uptake by PC cells.

conclusionThe association of SNP rs1077858 with OS may be a result of differential SLCO2B1 expression and the consequent increased uptake of DHEAS and subsequent resistance to ADT, which, in turn, may contribute to decreased OS.

Indexed as

Androgen AntagonistsCohort StudiesDehydroepiandrosterone SulfateGenotypeHumansIntronsMaleOrganic Anion TransportersPolymorphism, Single NucleotideProstatectomyProstatic NeoplasmsSurvival RateAndrogen AntagonistsDehydroepiandrosterone SulfateOrganic Anion TransportersSLCO2B1 protein, human

Identifiers

PMID26668348
PMCPMC4872031
OpenAlexW2199290744

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.