Literature DB >> 30334460

Prognostic factors for multiple myeloma in the era of novel therapies.

Dimitrios C Ziogas1, Meletios A Dimopoulos1, Efstathios Kastritis1.   

Abstract

INTRODUCTION: Multiple myeloma (MM) is characterized by notable inter-patient and intra-clonal heterogeneity that is gradually decoded over the last decade. Despite the deeper and better understanding of its biology and the development of novel therapeutic strategies that have prolonged overall survival, MM still retains a poor prognosis in patient subgroups with certain high-risk features. Areas covered: This article summarizes currently identified features that stratified patients in high-risk myeloma with impaired prognosis and discusses available therapeutic options that may partially overcome the impact of these adverse factors in patients' outcome. Numerous molecular and genetic assays such as detection by fluorescent in situ hybridization (FISH) of cytogenetic aberrations, gene expression profiling, minimal residual disease assessment by flow cytometry, or next-generation sequencing as well as novel imaging modalities such as magnetic resonance imaging (MRI) and positron emission tomography-computed tomography (PET-CT) have considerably increased available tools for recognizing in advance patients with unfavorable outcome. In parallel, many novel agents, particularly in combination treatments, have significantly improved the natural evolution of high-risk disease. Expert commentary: Moving forward to the same direction, a more accurate identification of patients with high-risk MM will allow a more individualized and intensive approach in their management directly after diagnosis.

Entities:  

Keywords:  Multiple myeloma; cytogenetics; novel therapies; prognosis; risk stratification

Mesh:

Substances:

Year:  2018        PMID: 30334460     DOI: 10.1080/17474086.2018.1537776

Source DB:  PubMed          Journal:  Expert Rev Hematol        ISSN: 1747-4094            Impact factor:   2.929


  8 in total

1.  A proposed index of diffuse bone marrow [18F]-FDG uptake and PET skeletal patterns correlate with myeloma prognostic markers, plasma cell morphology, and response to therapy.

Authors:  A Paschali; E Panagiotidis; T Triantafyllou; V Palaska; K Tsirou; E Verrou; E Υiannaki; D Markala; A Papanikolaou; A Pouli; P Konstantinidou; V Chatzipavlidou; E Terpos; E Katodritou
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-10-25       Impact factor: 9.236

2.  Cyclopamine sensitizes multiple myeloma cells to circularly permuted TRAIL-induced apoptosis.

Authors:  Huijuan Wang; Chuanying Geng; Huixing Zhou; Zhiyao Zhang; Wenming Chen
Journal:  Oncol Lett       Date:  2021-02-17       Impact factor: 2.967

3.  Treatment patterns and outcomes in real-world transplant-ineligible patients newly diagnosed with multiple myeloma.

Authors:  María José Cejalvo; Gabriela Bustamante; Esther González; Judith Vázquez-Álvarez; Ricarda García; Ángel Ramírez-Payer; Ernesto Pérez-Persona; Eugenia Abella; Sebastián Garzón; Antoni García; Isidro Jarque; Marta Sonia González; Antonia Sampol; Cristina Motlló; Josep María Martí; Magdalena Alcalá; Rafael Duro; Yolanda González; José Luis Sastre; Josep Sarrà; Giselle Lostaunau; Rocío López; Javier de la Rubia
Journal:  Ann Hematol       Date:  2021-04-22       Impact factor: 3.673

4.  CD24 Is a Prognostic Marker for Multiple Myeloma Progression and Survival.

Authors:  Noa Gross Even-Zohar; Marjorie Pick; Liron Hofstetter; Adir Shaulov; Boaz Nachmias; Eyal Lebel; Moshe E Gatt
Journal:  J Clin Med       Date:  2022-05-20       Impact factor: 4.964

5.  Updates from the 2019 American Society of Clinical Oncology and European Hematology Association annual meetings: a Canadian perspective on high-risk cytogenetics in multiple myeloma.

Authors:  R LeBlanc; K Song; D White; A Christofides; S Doucette
Journal:  Curr Oncol       Date:  2019-08-01       Impact factor: 3.677

6.  Final analysis of a phase 1/2b study of ibrutinib combined with carfilzomib/dexamethasone in patients with relapsed/refractory multiple myeloma.

Authors:  Ajai Chari; Robert F Cornell; Cristina Gasparetto; Chatchada Karanes; Jeffrey V Matous; Ruben Niesvizky; Matthew Lunning; Saad Z Usmani; Larry D Anderson; Saurabh Chhabra; Saulius Girnius; Chaim Shustik; Robert Stuart; Yihua Lee; Zeena Salman; Emily Liu; Jason Valent
Journal:  Hematol Oncol       Date:  2020-03-11       Impact factor: 5.271

7.  11C-acetate positron emission tomography is more precise than 18F-fluorodeoxyglucose positron emission tomography in evaluating tumor burden and predicting disease risk of multiple myeloma.

Authors:  Miao Chen; Wenjia Zhu; Jianhua Du; Chen Yang; Bing Han; Daobin Zhou; Li Huo; Junling Zhuang
Journal:  Sci Rep       Date:  2021-11-12       Impact factor: 4.379

8.  CIMP-positive glioma is associated with better prognosis: A systematic analysis.

Authors:  Yingying Xu; Huashi Xiao; Wenqing Hu; He-Chun Shen; Wanjun Liu; Siyuan Tan; Chuanli Ren; Xiaomin Zhang; Xishuai Yang; Guo Yu; Ting Yang; Duonan Yu; Liang Zong
Journal:  Medicine (Baltimore)       Date:  2022-09-30       Impact factor: 1.817

  8 in total

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