Literature DB >> 23614397

Molecular profiling of multiple myeloma: from gene expression analysis to next-generation sequencing.

Luca Agnelli1, Pierfrancesco Tassone, Antonino Neri.   

Abstract

INTRODUCTION: Multiple myeloma is a fatal malignant proliferation of clonal bone marrow Ig-secreting plasma cells, characterized by wide clinical, biological, and molecular heterogeneity. AREAS COVERED: Herein, global gene and microRNA expression, genome-wide DNA profilings, and next-generation sequencing technology used to investigate the genomic alterations underlying the bio-clinical heterogeneity in multiple myeloma are discussed. EXPERT OPINION: High-throughput technologies have undoubtedly allowed a better comprehension of the molecular basis of the disease, a fine stratification, and early identification of high-risk patients, and have provided insights toward targeted therapy studies. However, such technologies are at risk of being affected by laboratory- or cohort-specific biases, and are moreover influenced by high number of expected false positives. This aspect has a major weight in myeloma, which is characterized by large molecular heterogeneity. Therefore, meta-analysis as well as multiple approaches are desirable if not mandatory to validate the results obtained, in line with commonly accepted recommendation for tumor diagnostic/prognostic biomarker studies.

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Year:  2013        PMID: 23614397     DOI: 10.1517/14712598.2013.793305

Source DB:  PubMed          Journal:  Expert Opin Biol Ther        ISSN: 1471-2598            Impact factor:   4.388


  8 in total

Review 1.  Overcoming multiple myeloma drug resistance in the era of cancer 'omics'.

Authors:  Matthew Ho Zhi Guang; Amanda McCann; Giada Bianchi; Li Zhang; Paul Dowling; Despina Bazou; Peter O'Gorman; Kenneth C Anderson
Journal:  Leuk Lymphoma       Date:  2017-06-13

2.  p53-NEIL1 co-abnormalities induce genomic instability and promote synthetic lethality with Chk1 inhibition in multiple myeloma having concomitant 17p13(del) and 1q21(gain).

Authors:  Phaik Ju Teoh; Omer An; Tae-Hoon Chung; Thamil Vaiyapuri; Anandhkumar Raju; Michal M Hoppe; Sabrina H M Toh; Wilson Wang; Ming Chun Chan; Melissa J Fullwood; Anand D Jeyasekharan; Vinay Tergaonkar; Leilei Chen; Henry Yang; Wee Joo Chng
Journal:  Oncogene       Date:  2022-02-21       Impact factor: 8.756

3.  EWSR1 overexpression is a pro-oncogenic event in multiple myeloma.

Authors:  Daichi Nishiyama; Yoshiaki Chinen; Reiko Isa; Yuto Fujibayashi; Saeko Kuwahara-Ota; Junko Yamaguchi; Tomoko Takimoto-Shimomura; Yayoi Matsumura-Kimoto; Taku Tsukamoto; Yuji Shimura; Tsutomu Kobayashi; Shigeo Horiike; Masafumi Taniwaki; Hiroshi Handa; Junya Kuroda
Journal:  Int J Hematol       Date:  2020-10-23       Impact factor: 2.490

4.  In Silico Characterization of miRNA and Long Non-Coding RNA Interplay in Multiple Myeloma.

Authors:  Domenica Ronchetti; Martina Manzoni; Katia Todoerti; Antonino Neri; Luca Agnelli
Journal:  Genes (Basel)       Date:  2016-11-29       Impact factor: 4.096

Review 5.  Molecular Classification and Pharmacogenetics of Primary Plasma Cell Leukemia: An Initial Approach toward Precision Medicine.

Authors:  Vittorio Simeon; Katia Todoerti; Francesco La Rocca; Antonella Caivano; Stefania Trino; Marta Lionetti; Luca Agnelli; Luciana De Luca; Ilaria Laurenzana; Antonino Neri; Pellegrino Musto
Journal:  Int J Mol Sci       Date:  2015-07-30       Impact factor: 5.923

6.  Disentangling the microRNA regulatory milieu in multiple myeloma: integrative genomics analysis outlines mixed miRNA-TF circuits and pathway-derived networks modulated in t(4;14) patients.

Authors:  Enrica Calura; Andrea Bisognin; Martina Manzoni; Katia Todoerti; Elisa Taiana; Gabriele Sales; Gareth J Morgan; Giovanni Tonon; Nicola Amodio; Pierfrancesco Tassone; Antonino Neri; Luca Agnelli; Chiara Romualdi; Stefania Bortoluzzi
Journal:  Oncotarget       Date:  2016-01-19

Review 7.  Potential Clinical Application of Genomics in Multiple Myeloma.

Authors:  Cinnie Yentia Soekojo; Sanjay de Mel; Melissa Ooi; Benedict Yan; Wee Joo Chng
Journal:  Int J Mol Sci       Date:  2018-06-10       Impact factor: 5.923

8.  Clinical Significance of TP53 Abnormalities in Newly Diagnosed Multiple Myeloma

Authors:  Fang Ye; Tongtong Wang; Aijun Liu; Yanchen Li; Ningning Li; Huan Wang; Wenming Chen
Journal:  Turk J Haematol       Date:  2021-05-03       Impact factor: 1.831

  8 in total

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