Literature DB >> 27604166

Advances in understanding prognosis in myeloma.

Dean Smith1, Kwee Yong2.   

Abstract

In the last two decades outcomes in multiple myeloma (myeloma) have greatly improved, due to the introduction of newer, more effective therapies. This improvement is not uniform. Response to treatment and survival remains heterogeneous, with some patients living for 1-2 years whilst others are alive and progression-free at 10 years. This variation in outcome is due to patient characteristics plus features intrinsic to the myeloma tumour. Alongside the introduction of novel therapies there has been a greater understanding of disease biology and mechanisms of resistance. This has led to an increase in the number of prognostic markers that can be used in myeloma. This is important not only for more accurate counselling of patients in terms of disease outcome, but also in paving the way for risk-adapted therapy. Both newer and traditional prognostic markers need to be used in the context of planned therapy. Indeed, the prognostic value of certain markers varies according to which therapy the patient receives. As such, these prognostic factors will require constant re-evaluation as agents with new mechanisms of action are added into the myeloma treatment algorithm. This article summarises current concepts of prognostic markers in myeloma.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  multiple myeloma; myeloma therapy; prognostic factors

Mesh:

Substances:

Year:  2016        PMID: 27604166     DOI: 10.1111/bjh.14304

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  9 in total

1.  The WNT receptor ROR2 drives the interaction of multiple myeloma cells with the microenvironment through AKT activation.

Authors:  M Frenquelli; N Caridi; E Antonini; F Storti; V Viganò; M Gaviraghi; M Occhionorelli; S Bianchessi; L Bongiovanni; A Spinelli; M Marcatti; D Belloni; E Ferrero; S Karki; P Brambilla; F Martinelli-Boneschi; S Colla; M Ponzoni; R A DePinho; G Tonon
Journal:  Leukemia       Date:  2019-05-31       Impact factor: 11.528

2.  A same-day assay predicts apoptotic response to combined BCL-2 and MCL-1 BH3-mimetic targeting in multiple myeloma cells.

Authors:  Martin Grundy; Firas Al-Kaisi; Joanna Cull; Cathy Williams; Dean Smith; Claire H Seedhouse
Journal:  EJHaem       Date:  2020-11-20

Review 3.  Allogeneic Hematopoietic Cell Transplantation for Myeloma: When and in Whom Does It Work.

Authors:  Qaiser Bashir; Muzaffar H Qazilbash
Journal:  Curr Hematol Malig Rep       Date:  2017-04       Impact factor: 3.952

4.  Comparison of two melphalan protocols and evaluation of outcome and prognostic factors in multiple myeloma in dogs.

Authors:  Ricardo Fernández; Esther Chon
Journal:  J Vet Intern Med       Date:  2018-03-22       Impact factor: 3.333

5.  Model-Based Meta-Analysis for Multiple Myeloma: A Quantitative Drug-Independent Framework for Efficient Decisions in Oncology Drug Development.

Authors:  Zhaoyang Teng; Neeraj Gupta; Zhaowei Hua; Guohui Liu; Vivek Samnotra; Karthik Venkatakrishnan; Richard Labotka
Journal:  Clin Transl Sci       Date:  2017-11-23       Impact factor: 4.689

6.  MRI-Based Bone Marrow Radiomics Nomogram for Prediction of Overall Survival in Patients With Multiple Myeloma.

Authors:  Yang Li; Yang Liu; Ping Yin; Chuanxi Hao; Chao Sun; Lei Chen; Sicong Wang; Nan Hong
Journal:  Front Oncol       Date:  2021-12-01       Impact factor: 6.244

7.  Radiomics Models Based on Magnetic Resonance Imaging for Prediction of the Response to Bortezomib-Based Therapy in Patients with Multiple Myeloma.

Authors:  Yang Li; Ping Yin; Yang Liu; Chuanxi Hao; Lei Chen; Chao Sun; Sicong Wang; Nan Hong
Journal:  Biomed Res Int       Date:  2022-09-05       Impact factor: 3.246

8.  The role of frontline autologous stem cell transplantation for primary plasma cell leukemia: a retrospective multicenter study (KMM160).

Authors:  Sung-Hoon Jung; Je-Jung Lee; Kihyun Kim; Cheolwon Suh; Dok Hyun Yoon; Chang-Ki Min; Sang Kyun Sohn; Chul Won Choi; Ho Sup Lee; Hyo Jung Kim; Ho-Jin Shin; Soo-Mee Bang; Sung-Soo Yoon; Seong Kyu Park; Ho-Young Yhim; Min Kyoung Kim; Jae-Cheol Jo; Yeung-Chul Mun; Jae Hoon Lee; Jin Seok Kim
Journal:  Oncotarget       Date:  2017-06-16

9.  Potential of circular RNA itchy E3 ubiquitin protein ligase as a biomarker and treatment target for multiple myeloma.

Authors:  Hui Zhou; Jie Zhang; Bihua Chen; Hengyu Liu; Xiyu Liu; Zhongyi Sun; Zhou Ouyang; Fang Zhou; Yajun Li; Junqiao He; Lijun Wang; Ruolan Zeng; Ling Xiao
Journal:  Transl Cancer Res       Date:  2020-01       Impact factor: 1.241

  9 in total

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