Evidence map›Paper›PMID 25964295›Full record

SynthesisClinical cancer research : an official journal of the American Association for Cancer Research2015

Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy.

Sofia Khan, Rainer Fagerholm, Sajjad Rafiq, William Tapper, Kristiina Aittomäki, Jianjun Liu, Carl Blomqvist, Diana Eccles, Heli Nevanlinna

Abstract readMeta-Analysis
In one paragraph

Synthesis in Clinical cancer research : an official journal of the American Association for Cancer Research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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.

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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

9 authors.

Sofia KhanDepartment of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Rainer FagerholmDepartment of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.
Sajjad RafiqFaculty of Medicine, University of Southampton, Southampton General Hospital, Hants, UK.
William TapperFaculty of Medicine, University of Southampton, Southampton General Hospital, Hants, UK.
Kristiina AittomäkiDepartment of Clinical Genetics, Helsinki University Hospital and Genome Scale Biology Research Program, University of Helsinki, Helsinki, Finland.
Jianjun LiuHuman Genetics, Genome Institute of Singapore, 60 Biopolis St, Singapore.
Carl Blomqvist *Department of Oncology, Helsinki University Hospital, Helsinki, Finland.
Diana Eccles *Faculty of Medicine, University of Southampton, Southampton General Hospital, Hants, UK.
Heli Nevanlinna *Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

Funding

GWAS of Hormone Treatment and CVD and Metabolic Outcomes in the WHIU01HG005152 · NHGRI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI REINER, ALEXANDER P · 2009 to 2011
$2.6M
Randomized Clinical Trials - Whole Genome Studies Coordinating CenterU01HG005157 · NHGRI · UNIVERSITY OF WASHINGTON · PI HEAGERTY, PATRICK J, WEIR, BRUCE S. · 2009 to 2011
$2.4M
Pharmacogenomics of Breast Cancer Adjuvant ChemotherapyU01HG005137 · NHGRI · MAYO CLINIC ROCHESTER · PI WEINSHILBOUM, RICHARD M. · 2009 to 2011
$2.1M
Breast Cancer Now 2010NOVPR62Breast Cancer Now 2013MAYPR044Cancer Research UK 19187Cancer Research UK A15956Cancer Research UK C1275/A15956Cancer Research UK C1275/A19187NHGRI NIH HHS U01 HG005137NHGRI NIH HHS U01 HG005152NHGRI NIH HHS U01HG005152NHGRI NIH HHS U01 HG005157
6 · The paper itself

Abstract

purposeAlthough most patients with estrogen receptor (ER)-positive breast cancer benefit from endocrine therapies, a significant proportion do not. Our aim was to identify inherited genetic variations that might predict survival among patients receiving adjuvant endocrine therapies. EXPERIMENTAL

designWe performed a meta-analysis of two genome-wide studies; Helsinki Breast Cancer Study, 805 patients, with 240 receiving endocrine therapy and Prospective study of Outcomes in Sporadic versus Hereditary breast cancer, 536 patients, with 155 endocrine therapy patients, evaluating 486,478 single-nucleotide polymorphisms (SNP). The top four associations from the endocrine treatment subgroup were further investigated in two independent datasets totaling 5,011 patients, with 3,485 receiving endocrine therapy.

resultsA meta-analysis identified a common SNP rs8113308, mapped to 19q13.41, associating with reduced survival among endocrine-treated patients [hazard ratio (HR), 1.69; 95% confidence interval (CI), 1.37-2.07; P = 6.34 × 10(-7)] and improved survival among ER-negative patients, with a similar trend in ER-positive cases not receiving endocrine therapy. In a multivariate analysis adjusted for conventional prognostic factors, we found a significant interaction between the rs8113308 and endocrine treatment, indicating a predictive, treatment-specific effect of the SNP rs8113308 on breast cancer survival, with the per-allele HR for interaction 2.16 (95% CI, 1.30-3.60; Pinteraction = 0.003) and HR = 7.77 (95% CI, 0.93-64.71) for the homozygous genotype carriers. A biologic rationale is suggested by in silico functional analyses.

conclusionsOur findings suggest carrying the rs8113308 rare allele may identify patients who will not benefit from adjuvant endocrine treatment.

Indexed as

Polymorphism, Single NucleotideAdolescentAdultAgedAged, 80 and overAllelesAntineoplastic Agents, HormonalBreast NeoplasmsChromosomes, Human, Pair 19FemaleGene Expression Regulation, NeoplasticGenetic MarkersGenome-Wide Association StudyGenotypeHomozygoteHumansAntineoplastic Agents, HormonalGenetic MarkersReceptors, Estrogen

Identifiers

PMID25964295
PMCPMC4574404

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Registered trials

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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.