Evidence map›Paper›PMID 21680536›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Gender disparities in the tumor genetics and clinical outcome of multiple myeloma.

Kevin D Boyd, Fiona M Ross, Laura Chiecchio, GianPaolo Dagrada, Zoe J Konn, William J Tapper, Brian A Walker, Christopher P Wardell, Walter M Gregory, Alex J Szubert and 2 more

Abstract readClinical Trial, Phase IIIRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 19% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 56 citations in OpenAlex.

  1. Co-Occurrence of Cytogenetic Abnormalities and High-Risk Disease in Newly Diagnosed and Relapsed/Refractory Multiple Myeloma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2025
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  18. Gender Differences in Obesity-Related Cancers.Current obesity reports · 2021
    Review
  19. Sex differences in outcomes in multiple myeloma.British journal of haematology · 2021
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  20. 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

12 authors at 4 institutions in 1 country.

Kevin D BoydThe Institute of Cancer Research, Section of Haemato-Oncology, London, United Kingdom.
Fiona M Ross
Laura Chiecchio
GianPaolo Dagrada
Zoe J Konn
William J Tapper
Brian A Walker
Christopher P Wardell
Walter M Gregory
Alex J Szubert
Faith E Davies
Gareth J Morgan
University of Leeds · GBWessex Regional Genetics Laboratory · GBInstitute of Cancer Research · GBUniversity of Southampton · GB

Funding

Cancer Research UK A5951Cancer Research UK A6308Medical Research Council G0100132
6 · The paper itself

Abstract

backgroundSeveral cancer types have differences in incidence and clinical outcome dependent on gender, but these are not well described in myeloma. The aim of this study was to characterize gender disparities in myeloma.

methodsWe investigated the association of gender with the prevalence of tumor genetic lesions and the clinical outcome of 1,960 patients enrolled in the phase III clinical trial MRC Myeloma IX. Genetic lesions were characterized by FISH.

resultsDisparities were found in the prevalence of primary genetic lesions with immunoglobulin heavy chain gene (IGH) translocations being more common in women (50% of female patients vs. 38% of male patients, P < 0.001) and hyperdiploidy being more common in men (50% female vs. 62% male, P < 0.001). There were also differences in secondary genetic events with del(13q) (52% female vs. 41% male, P < 0.001) and +1q (43% female vs. 36% male, P = 0.042) being found more frequently in female myeloma patients. Female gender was associated with inferior overall survival (median: 44.8 months female vs. 49.9 months male, P = 0.020).

conclusionsWe found gender-dependent differences in the prevalence of the primary genetic events of myeloma, with IGH translocations being more common in women and hyperdiploidy more common in men. This genetic background may impact subsequent genetic events such as +1q and del(13q), which were both more frequent in women. The higher prevalence of lesions associated with poor prognosis in the female myeloma population, such as t(4;14), t(14;16) and +1q, may adversely affect clinical outcome. IMPACT: These differences suggest that gender influences the primary genetic events of myeloma.

Indexed as

AdultAgedAged, 80 and overChromosome AberrationsFemaleHumansImmunoglobulin Heavy ChainsIn Situ Hybridization, FluorescenceMaleMiddle AgedMultiple MyelomaPrevalenceSex FactorsSurvival AnalysisTreatment OutcomeImmunoglobulin Heavy Chains

Identifiers

PMID21680536
PMCPMC4545514
OpenAlexW2167767438

What OpenQuestion holds

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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.