Evidence map›Paper›PMID 27485119›Full record

ArticleBMC urology2016

Quality of life effects of androgen deprivation therapy in a prostate cancer cohort in New Zealand: can we minimize effects using a stratification based on the aldo-keto reductase family 1, member C3 rs12529 gene polymorphism?

Nishi Karunasinghe, Yifei Zhu, Dug Yeo Han, Katja Lange, Shuotun Zhu, Alice Wang, Stephanie Ellett, Jonathan Masters, Megan Goudie, Justin Keogh and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 6% 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

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

  1. Pooled it
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  12. Prostate Cancer: Is It a Battle Lost to Age?Geriatrics (Basel, Switzerland) · 2016
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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

13 authors at 4 institutions in 2 countries.

Nishi KarunasingheAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand. n.karunasinghe@auckland.ac.nz.ORCID http://orcid.org/0000-0002-6383-4163
Yifei ZhuAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Dug Yeo HanDiscipline of Nutrition and Dietetics, FM&HS, The University of Auckland, Auckland, New Zealand.
Katja LangeAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Shuotun ZhuAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Alice WangAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Stephanie EllettAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
Jonathan MastersUrology Department, Auckland Hospital, Auckland, New Zealand.
Megan GoudieUrology Department, Auckland Hospital, Auckland, New Zealand.
Justin KeoghFaculty of Health Sciences and Medicine, Bond University, Robina, Australia.
Benji BenjaminRadiation Oncology Department, Auckland Hospital, Auckland, New Zealand.
Michael HolmesUrology Department, Waikato Hospital, Hamilton, New Zealand.
Lynnette R FergusonAuckland Cancer Society Research Centre (ACSRC), Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand.
University of Auckland · NZAuckland City Hospital · NZBond University · AUWaikato Hospital · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAndrogen deprivation therapy (ADT) is an effective palliation treatment in men with advanced prostate cancer (PC). However, ADT has well documented side effects that could alter the patient's health-related quality of life (HRQoL). The current study aims to test whether a genetic stratification could provide better knowledge for optimising ADT options to minimize HRQoL effects.

methodsA cohort of 206 PC survivors (75 treated with and 131 without ADT) was recruited with written consent to collect patient characteristics, clinical data and HRQoL data related to PC management. The primary outcomes were the percentage scores under each HRQoL subscale assessed using the European Organisation for Research and Treatment of Cancer Quality of Life questionnaires (QLQ-C30 and PR25) and the Depression Anxiety Stress Scales developed by the University of Melbourne, Australia. Genotyping of these men was carried out for the aldo-keto reductase family 1, member C3 (AKR1C3) rs12529 single nucleotide polymorphism (SNP). Analysis of HRQoL scores were carried out against ADT duration and in association with the AKR1C3 rs12529 SNP using the generalised linear model. P-values <0 · 05 were considered significant, and were further tested for restriction with Bonferroni correction.

resultsIncrease in hormone treatment-related effects were recorded with long-term ADT compared to no ADT. The C and G allele frequencies of the AKR1C3rs12529 SNP were 53·4 % and 46·6 % respectively. Hormone treatment-related symptoms showed an increase with ADT when associated with the AKR1C3 rs12529 G allele. Meanwhile, decreasing trends on cancer-specific symptoms and increased sexual interest were recorded with no ADT when associated with the AKR1C3 rs12529 G allele and reverse trends with the C allele. As higher incidence of cancer-specific symptoms relate to cancer retention it is possible that associated with the C allele there could be higher incidence of unresolved cancers under no ADT options.

conclusionsIf these findings can be reproduced in larger homogeneous cohorts, a genetic stratification based on the AKR1C3 rs12529 SNP, can minimize ADT-related HRQoL effects in PC patients. Our data additionally show that with this stratification it could also be possible to identify men needing ADT for better oncological advantage.

Indexed as

Polymorphism, Single NucleotideQuality of Life3-Hydroxysteroid DehydrogenasesAgedAged, 80 and overAldehyde ReductaseAldo-Keto Reductase Family 1 Member C3Aldo-Keto ReductasesAndrogen AntagonistsGonadotropin-Releasing HormoneHumansHydroxyprostaglandin DehydrogenasesMaleNew ZealandProstatic Neoplasms3-Hydroxysteroid DehydrogenasesAKR1C3 protein, humanAldehyde ReductaseAldo-Keto Reductase Family 1 Member C3Aldo-Keto ReductasesAndrogen AntagonistsGonadotropin-Releasing HormoneHydroxyprostaglandin DehydrogenasesAKR1C3 rs12529 single nucleotide polymorphism (SNP)Androgen deprivation therapy (ADT)Health related quality of life (HRQoL)

Identifiers

PMID27485119
PMCPMC4971639
OpenAlexW2488436520

What OpenQuestion 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 OpenQuestion graph.