Expression of p53 protein isoforms predicts survival in patients with multiple myeloma

Loss and/or mutation of the TP53 gene are associated with short survival in multiple myeloma, but the p53 landscape goes far beyond. At least 12 p53 protein isoforms have been identified as a result of a combination of alternative splicing, alternative promoters and/or alternative transcription site starts, which are grouped as α, β, γ, from transactivation domain (TA), long, and short isoforms. Nowadays, there are no studies evaluating the expression of p53 isoforms and its clinical relevance in multiple myeloma (MM). We used capillary nanoimmunoassay to quantify the expression of p53 protein isoforms in CD138‐purified samples from 156 patients with newly diagnosed MM who were treated as part of the PETHEMA/GEM2012 clinical trial and investigated their prognostic impact. Quantitative real‐time polymerase chain reaction was used to corroborate the results at RNA levels. Low and high levels of expression of short and TAp53β/γ isoforms, respectively, were associated with adverse prognosis in MM patients. Multivariate Cox models identified high levels of TAp53β/γ (hazard ratio [HR], 4.49; p < .001) and high‐risk cytogenetics (HR, 2.69; p < .001) as independent prognostic factors associated with shorter time to progression. The current cytogenetic‐risk classification was notably improved when expression levels of p53 protein isoforms were incorporated, whereby high‐risk MM expressing high levels of short isoforms had significantly longer survival than high‐risk patients with low levels of these isoforms. This is the first study that demonstrates the prognostic value of p53 isoforms in MM patients, providing new insights on the role of p53 protein dysregulation in MM biology

Genomics of Plasma Cell Leukemia

Plasma cell leukemia (PCL) is a rare and highly aggressive plasma cell dyscrasia characterized by the presence of clonal circulating plasma cells in peripheral blood. PCL accounts for approximately 2–4% of all multiple myeloma (MM) cases. PCL can be classified in primary PCL (pPCL) when it appears de novo and in secondary PCL (sPCL) when it arises from a pre-existing relapsed/refractory MM. Despite the improvement in treatment modalities, the prognosis remains very poor. There is growing evidence that pPCL is a different clinicopathological entity as compared to MM, although the mechanisms underlying its pathogenesis are not fully elucidated. The development of new high-throughput technologies, such as microarrays and new generation sequencing (NGS), has contributed to a better understanding of the peculiar biological and clinical features of this disease. Relevant information is now available on cytogenetic alterations, genetic variants, transcriptome, methylation patterns, and non-coding RNA profiles. Additionally, attempts have been made to integrate genomic alterations with gene expression data. However, given the low frequency of PCL, most of the genetic information comes from retrospective studies with a small number of patients, sometimes leading to inconsistent results.E.A.R. was supported by a fellowship from the Consejería de Educación de Castilla y León and FEDER funds. This study was funded by the Instituto de Salud Carlos III and co-financed by FEDER (PI16/01074 and PI19/00674); by the Asociación Española Contra el Cáncer (AECC) (Proyectos Estratégicos: PROYE20047GUTI); and by the Gerencia Regional de Salud, Junta de Castilla y León grants (GRS 2058/A/19 and GRS 2331/A/21)

Molecular Mechanisms of p53 Deregulation in Cancer: An Overview in Multiple Myeloma

The p53 pathway is inactivated in the majority of human cancers. Although this perturbation frequently occurs through the mutation or deletion of p53 itself, there are other mechanisms that can attenuate the pathway and contribute to tumorigenesis. For example, overexpression of important p53 negative regulators, such as murine double minute 2 (MDM2) or murine double minute 4 (MDM4), epigenetic deregulation, or even alterations in TP53 mRNA splicing. In this work, we will review the different mechanisms of p53 pathway inhibition in cancer with special focus on multiple myeloma (MM), the second most common hematological malignancy, with low incidence of p53 mutations/deletions but growing evidence of indirect p53 pathway deregulation. Translational implications for MM and cancer prognosis and treatment are also reviewed

Molecular mechanisms of p53 deregulation in cancer: An overview in multiple myeloma

This article belongs to the Special Issue Emerging Non-Canonical Functions and Regulation of p53.The p53 pathway is inactivated in the majority of human cancers. Although this perturbation frequently occurs through the mutation or deletion of p53 itself, there are other mechanisms that can attenuate the pathway and contribute to tumorigenesis. For example, overexpression of important p53 negative regulators, such as murine double minute 2 (MDM2) or murine double minute 4 (MDM4), epigenetic deregulation, or even alterations in TP53 mRNA splicing. In this work, we will review the different mechanisms of p53 pathway inhibition in cancer with special focus on multiple myeloma (MM), the second most common hematological malignancy, with low incidence of p53 mutations/deletions but growing evidence of indirect p53 pathway deregulation. Translational implications for MM and cancer prognosis and treatment are also reviewed.This study was partially supported by the Instituto de Salud Carlos III-Cofinanciación con fondos FEDER (PI16/01074), the Gerencia Regional de Salud, Junta de Castilla y León (1344/A/16) grants, and the INNOCAM-PUS Program (CEI10-1-0010).Peer Reviewe

Transcriptional signature of TP53 biallelic inactivation identifies a group of multiple myeloma patients without this genetic condition but with dismal outcome

Biallelic inactivation of TP53 has been included in the definition of double-hit (DH) multiple myeloma (MM), which entails an ominous prognosis. However, this condition, or even the presence of high-risk cytogenetic abnormalities, cannot accurately capture the 15%–20% of the MM population with a median overall survival below 24 months. This prompted us to look for other MM patients who might have transcriptional characteristics similar to those with DH-TP53. In the present study, we analysed RNA-seq, whole-genome and whole-exome sequencing data from 660 newly diagnosed MM (NDMM) patients from the MMRF (Multiple Myeloma Research Foundation) CoMMpass study to characterize the transcriptional signature of TP53 double-hit (DH-TP53) MM. We found 78 genes that were exclusively deregulated in DH-TP53 patients. A score based on these genes identified a group of 50 patients who shared the same transcriptional profile (DH-TP53-like group) whose prognosis was particularly unfavourable [median overall survival (OS) < 2 years], despite not harbouring the biallelic inactivation of TP53. The prognostic value of the DH-TP53 score was externally validated using gene expression data from 850 NDMM patients analysed by microarrays. Furthermore, our DH-TP53 score refined the traditional prognostic stratification of MM patients according to the cytogenetic abnormalities and International Staging System (ISS).This work has been supported by grants from the Instituto de Salud Carlos III (ISCIII) co-funded by European Union FEDER funds (projects PI16/01074 and PI19/00674), the Asociación Española Contra el Cáncer (grant PROYE20047GUTI) and the Gerencia Regional de Salud, Junta de Castilla y León (grants GRS 2058/A/19 and GRS 2331/A/21). Cristina De Ramón, Elizabeta A. Rojas and Ignacio J. Cardona-Benavides have been supported by the Asociación Española Contra el Cáncer (CLJUN18010DERA), the Consejería de Educación de Castilla y León and the Instituto de Salud Carlos III (PFIS-2020: FI20/00226), respectively. The authors thank the MMRF for access to the CoMMpass dataset

Transcriptome analysis reveals significant differences between primary plasma cell leukemia and multiple myeloma even when sharing a similar genetic background

© The Author(s) 2019.Primary plasma cell leukemia (pPCL) is a highly aggressive plasma cell dyscrasia characterised by short remissions and very poor survival. Although the 17p deletion is associated with poor outcome and extramedullary disease in MM, its presence does not confer the degree of aggressiveness observed in pPCL. The comprehensive exploration of isoform expression and RNA splicing events may provide novel information about biological differences between the two diseases. Transcriptomic studies were carried out in nine newly diagnosed pPCL and ten MM samples, all of which harbored the 17p deletion. Unsupervised cluster analysis clearly distinguished pPCL from MM samples. In total 3584 genes and 20033 isoforms were found to be deregulated between pPCL and MM. There were 2727 significantly deregulated isoforms of non-differentially expressed genes. Strangely enough, significant differences were observed in the expression of spliceosomal machinery components between pPCL and MM, in respect of the gene, isoform and the alternative splicing events expression. In summary, transcriptome analysis revealed significant differences in the relative abundance of isoforms between pPCL and MM, even when they both had the 17p deletion. The mRNA processing pathway including RNA splicing machinery emerged as one of the most remarkable mechanisms underlying the biological differences between the two entities.This study was partially supported by the Instituto de Salud Carlos III cofinanced by the European Union FEDER funds (PI13/00111 and PI16/01074), Gerencia Regional de Salud, Junta de Castilla y León (BIO/SA57/13) and the Asociación Española Contra el Cáncer (AECC, GCB120981SAN). E.A.R.R. was supported by the Consejería de Educación de Castilla y León and FEDER funds. I.M.K. and L.A.C. were supported by the Sociedad Española de Hematología y Hemoterapia

Systematic comparison and assessment of RNA-seq procedures for gene expression quantitative analysis

© The Author(s) 2020.RNA-seq is currently considered the most powerful, robust and adaptable technique for measuring gene expression and transcription activation at genome-wide level. As the analysis of RNA-seq data is complex, it has prompted a large amount of research on algorithms and methods. This has resulted in a substantial increase in the number of options available at each step of the analysis. Consequently, there is no clear consensus about the most appropriate algorithms and pipelines that should be used to analyse RNA-seq data. In the present study, 192 pipelines using alternative methods were applied to 18 samples from two human cell lines and the performance of the results was evaluated. Raw gene expression signal was quantified by non-parametric statistics to measure precision and accuracy. Differential gene expression performance was estimated by testing 17 differential expression methods. The procedures were validated by qRT-PCR in the same samples. This study weighs up the advantages and disadvantages of the tested algorithms and pipelines providing a comprehensive guide to the different methods and procedures applied to the analysis of RNA-seq data, both for the quantification of the raw expression signal and for the differential gene expression.This work was supported by the Instituto de Salud Carlos III, cofounded by the European Union FEDER funds (PI16/01074 and PI19/00674). L.A.C. was suported by the Sociedad Española de Hematología y Hemoterapia. E.A.R. was supported by the Consejería de Educación de Castilla y León and FEDER funds. J.D.L.R. work was supported by the Instituto de Salud Carlos III, cofounded by the European Union FEDER funds (PI18/00591)

Factors Regulating microRNA Expression and Function in Multiple Myeloma

Intensive research has been undertaken during the last decade to identify the implication of microRNAs (miRNAs) in the pathogenesis of multiple myeloma (MM). The expression profiling of miRNAs in MM has provided relevant information, demonstrating different patterns of miRNA expression depending on the genetic abnormalities of MM and a key role of some miRNAs regulating critical genes associated with MM pathogenesis. However, the underlying causes of abnormal expression of miRNAs in myeloma cells remain mainly elusive. The final expression of the mature miRNAs is subject to multiple regulation mechanisms, such as copy number alterations, CpG methylation or transcription factors, together with impairment in miRNA biogenesis and differences in availability of the mRNA target sequence. In this review, we summarize the available knowledge about the factors involved in the regulation of miRNA expression and functionality in MM