ArticleInternational journal of hematology2012
Identification of unbalanced genome copy number abnormalities in patients with multiple myeloma by single-nucleotide polymorphism genotyping microarray analysis.
Article in International journal of hematology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- CUE domain-containing 2 promotes diffuse large B-cell lymphoma progression via PP2A-B55β degradation and shapes macrophage-mediated immune responses.Molecular biomedicine · 2026Article
- The molecular mechanism and challenge of targeting XPO1 in treatment of relapsed and refractory myeloma.Translational oncology · 2022Review
- Review
- PP2A-B55 Holoenzyme Regulation and Cancer.Biomolecules · 2020Review
- Three-dimensional genome: developmental technologies and applications in precision medicine.Journal of human genetics · 2020Article
- Progress in the identification of gene mutations involved in multiple myeloma.OncoTargets and therapy · 2019Review
- Article
- Challenges and Promises of Genetic Stratification of Risk in Multiple Myeloma.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2017Article
- SNP Array in Hematopoietic Neoplasms: A Review.Microarrays (Basel, Switzerland) · 2015Review
- Article
- Widespread genetic heterogeneity in multiple myeloma: implications for targeted therapy.Cancer cell · 2014Article
- The Basic Biology of PP2A in Hematologic Cells and Malignancies.Frontiers in oncology · 2014Review
- Role of non-HLA gene polymorphisms in graft-versus-host disease.International journal of hematology · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Single-nucleotide polymorphism genotyping microarray (SNP array) analysis provides detailed information on chromosomal copy number aberrations. To obtain detailed information on genomic abnormalities related to pathogenesis or prognosis of multiple myeloma (MM), we performed 250K SNP array analysis in 39 MM patients and 11 cell lines. We identified an accumulation of deletions and uniparental disomies at 22q12.1. Among the hyperdiploid MM cases, chromosomal imbalance at this locus was associated with poor prognosis. On sequencing, we also found a mutation in the seizure-related 6 homolog (mouse)-like (SEZ6L) gene located at ch.22q12.1 in an MM cell line, NOP1. We further found isolated deletions in 17 genes, five of which are known tumor suppressor genes. Of these, deletion of protein tyrosine phosphatase, receptor type D (PTPRD) was found in three samples, including two patients. Consistent with previous reports, non-hyperdiploid MM, deletion of 13q (del13q) and gain of 1q in non-hyperdiploid MMs were predictive of poor prognosis (p = 0.039, p = 0.049, and p = 0.013, respectively). However, our analysis revealed that unless accompanied by gain of 1q, the prognosis of non-hyperdiploid MM was as good as that of hyperdiploid MM. Thus, SNP array analysis provides significant information useful to understanding the pathogenesis and prognosis of MM.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.