Literature DB >> 31848687

A review on tumor heterogeneity and evolution in multiple myeloma: pathological, radiological, molecular genetics, and clinical integration.

Christian M Schürch1, Leo Rasche2, Leonie Frauenfeld3, Niels Weinhold4, Falko Fend5.   

Abstract

Recent research has dramatically advanced our understanding of the genetic basis of multiple myeloma (MM). MM displays enormous inter- and intratumoral heterogeneity, and underlies a clonal evolutionary process driven and shaped by diverse factors such as clonal competition, tumor microenvironment, host immunity, and therapy. Two main cytogenetic groups are distinguished: MM with recurrent translocations involving the immunoglobulin heavy chain locus and MM with hyperdiploidy involving the odd chromosomes. The disease virtually always starts with a preneoplastic prodromal phase-monoclonal gammopathy of undetermined significance-that variably progresses to symptomatic MM within a few months or many years. Tumor heterogeneity and its evolution in space and time have important consequences for the clinical management and outcome of MM patients. At diagnosis, spatial intratumoral heterogeneity poses a challenge for classification and risk stratification. During maintenance therapy, clonal evolution may complicate disease monitoring and promote drug resistance. Upon progression or transformation, identifying the dominant disease-driving neoplastic clones and elucidating their properties are key to tailor personalized therapy. In this review, we discuss tumor heterogeneity and clonal evolution in MM, integrating pathological, radiological, molecular genetics, and clinical data. Current and prospective classification schemes and prognostic parameters, incorporating new genetic and proteomic discoveries and advances in imaging, are highlighted. In addition, the roles of the tumor microenvironment, host immunity, and resistance mutations, and their effects on therapy, are discussed. An improved understanding of high-risk disease, tumor heterogeneity, and clonal evolution will guide future therapies and may ultimately lead towards a cure for MM.

Entities:  

Keywords:  Multiple myeloma; Personalized medicine; Plasma cell neoplasms; Review; Tumor evolution; Tumor heterogeneity

Mesh:

Year:  2019        PMID: 31848687     DOI: 10.1007/s00428-019-02725-3

Source DB:  PubMed          Journal:  Virchows Arch        ISSN: 0945-6317            Impact factor:   4.064


  84 in total

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Authors:  Giada Bianchi; Nikhil C Munshi
Journal:  Blood       Date:  2015-04-02       Impact factor: 22.113

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Authors:  Nicholas McGranahan; Charles Swanton
Journal:  Cancer Cell       Date:  2015-01-12       Impact factor: 31.743

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Journal:  Nat Rev Clin Oncol       Date:  2016-08-17       Impact factor: 66.675

Review 5.  Clonal evolution in cancer.

Authors:  Mel Greaves; Carlo C Maley
Journal:  Nature       Date:  2012-01-18       Impact factor: 49.962

Review 6.  Cells of origin in cancer.

Authors:  Jane E Visvader
Journal:  Nature       Date:  2011-01-20       Impact factor: 49.962

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Authors:  Andriy Marusyk; Kornelia Polyak
Journal:  Biochim Biophys Acta       Date:  2009-11-18

Review 8.  Expanding the computational toolbox for mining cancer genomes.

Authors:  Li Ding; Michael C Wendl; Joshua F McMichael; Benjamin J Raphael
Journal:  Nat Rev Genet       Date:  2014-07-08       Impact factor: 53.242

9.  Revised International Staging System for Multiple Myeloma: A Report From International Myeloma Working Group.

Authors:  Antonio Palumbo; Hervé Avet-Loiseau; Stefania Oliva; Henk M Lokhorst; Hartmut Goldschmidt; Laura Rosinol; Paul Richardson; Simona Caltagirone; Juan José Lahuerta; Thierry Facon; Sara Bringhen; Francesca Gay; Michel Attal; Roberto Passera; Andrew Spencer; Massimo Offidani; Shaji Kumar; Pellegrino Musto; Sagar Lonial; Maria T Petrucci; Robert Z Orlowski; Elena Zamagni; Gareth Morgan; Meletios A Dimopoulos; Brian G M Durie; Kenneth C Anderson; Pieter Sonneveld; Jésus San Miguel; Michele Cavo; S Vincent Rajkumar; Philippe Moreau
Journal:  J Clin Oncol       Date:  2015-08-03       Impact factor: 44.544

Review 10.  Intratumor heterogeneity: evolution through space and time.

Authors:  Charles Swanton
Journal:  Cancer Res       Date:  2012-09-20       Impact factor: 12.701

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  14 in total

1.  Introduction by the Guest Editor: Recent advances in biology and treatment of multiple myeloma.

Authors:  Hirokazu Tanaka
Journal:  Int J Hematol       Date:  2020-01-27       Impact factor: 2.490

Review 2.  [Multiple myeloma from the pathologist's perspective].

Authors:  Antonio Vogelsberg; Christian M Schürch; Falko Fend
Journal:  Radiologe       Date:  2021-10-18       Impact factor: 0.635

3.  Enrichment-Free Single-Cell Detection and Morphogenomic Profiling of Myeloma Patient Samples to Delineate Circulating Rare Plasma Cell Clones.

Authors:  Libere J Ndacayisaba; Kate E Rappard; Stephanie N Shishido; Carmen Ruiz Velasco; Nicholas Matsumoto; Rafael Navarez; Guilin Tang; Pei Lin; Sonia M Setayesh; Amin Naghdloo; Ching-Ju Hsu; Carlisle Maney; David Symer; Kelly Bethel; Kevin Kelly; Akil Merchant; Robert Orlowski; James Hicks; Jeremy Mason; Elisabeth E Manasanch; Peter Kuhn
Journal:  Curr Oncol       Date:  2022-04-21       Impact factor: 3.109

4.  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

5.  Defective Epstein-Barr Virus Genomes and Atypical Viral Gene Expression in B-Cell Lines Derived from Multiple Myeloma Patients.

Authors:  Fang Lu; Kayla A Martin; Samantha S Soldan; Andrew V Kossenkov; Priyankara Wickramasinghe; Olga Vladimirova; Alessandra De Leo; Cindy Lin; Yulia Nefedova; Paul M Lieberman
Journal:  J Virol       Date:  2021-06-10       Impact factor: 5.103

6.  AcidoCEST MRI Evaluates the Bone Microenvironment in Multiple Myeloma.

Authors:  Alecio F Lombardi; Jonathan H Wong; Rachel High; Yajun Ma; Saeed Jerban; Qingbo Tang; Jiang Du; Patrick Frost; Mark D Pagel; Eric Y Chang
Journal:  Mol Imaging Biol       Date:  2021-05-03       Impact factor: 3.484

Review 7.  Overcoming the Immunosuppressive Tumor Microenvironment in Multiple Myeloma.

Authors:  Fatih M Uckun
Journal:  Cancers (Basel)       Date:  2021-04-22       Impact factor: 6.639

8.  Multipeptide stimulated PBMCs generate TEM/TCM for adoptive cell therapy in multiple myeloma.

Authors:  Trupti Vardam-Kaur; Latha B Pathangey; Daniel J McCormick; P Leif Bergsagel; Peter A Cohen; Sandra J Gendler
Journal:  Oncotarget       Date:  2021-09-28

9.  Mouse tumor susceptibility genes identify drug combinations for multiple myeloma.

Authors:  Shuling Zhang; Wendy DuBois; Ke Zhang; John K Simmons; V Keith Hughitt; Sayeh Gorjifard; Snehal Gaikwad; Tyler J Peat; Beverly A Mock
Journal:  J Cancer Metastasis Treat       Date:  2020-07-26

Review 10.  The Cancer-Immunity Cycle in Multiple Myeloma.

Authors:  Mika Casey; Kyohei Nakamura
Journal:  Immunotargets Ther       Date:  2021-07-16
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