Prognostic gene expression analysis in a retrospective, multinational cohort of 155 multiple myeloma patients treated outside clinical trials. (26th August 2021)
- Record Type:
- Journal Article
- Title:
- Prognostic gene expression analysis in a retrospective, multinational cohort of 155 multiple myeloma patients treated outside clinical trials. (26th August 2021)
- Main Title:
- Prognostic gene expression analysis in a retrospective, multinational cohort of 155 multiple myeloma patients treated outside clinical trials
- Authors:
- Chen, Yan‐Ting
Valent, Erik T.
van Beers, Erik H.
Kuiper, Rowan
Oliva, Stefania
Haferlach, Torsten
Chng, Wee‐Joo
van Vliet, Martin H.
Sonneveld, Pieter
Larocca, Alessandra - Abstract:
- Abstract: Objectives: Typically, prognostic capability of gene expression profiling (GEP) is studied in the context of clinical trials, for which 50%‐80% of patients are not eligible, possibly limiting the generalizability of findings to routine practice. Here, we evaluate GEP analysis outside clinical trials, aiming to improve clinical risk assessment of multiple myeloma (MM) patients. Methods: A total of 155 bone marrow samples from MM patients were collected from which RNA was analyzed by microarray. Sixteen previously developed GEP‐based markers were evaluated, combined with survival data, and studied using Cox proportional hazard regression. Results: Gene expression profiling‐based markers SKY92 and the PR‐cluster were shown to be independent prognostic factors for survival, with hazard ratios and 95% confidence interval of 3.6 [2.0‐6.8] ( P < .001) and 5.8 [2.7‐12.7] ( P < .01) for overall survival (OS). A multivariate model proved only SKY92 and the PR‐cluster to be independent prognostic factors compared to cytogenetic high‐risk patients, the International Staging System (ISS), and revised ISS. A substantial number of high‐risk individuals could be further identified when SKY92 was added to the cytogenetic, ISS, or R‐ISS. In the cytogenetic standard‐risk group, ISS I/II, and R‐ISS I/II, 13%, 23%, and 23% of patients with adverse survivals were identified. Conclusions: For the first time, this study confirmed the prognostic value of GEP markers outside clinicalAbstract: Objectives: Typically, prognostic capability of gene expression profiling (GEP) is studied in the context of clinical trials, for which 50%‐80% of patients are not eligible, possibly limiting the generalizability of findings to routine practice. Here, we evaluate GEP analysis outside clinical trials, aiming to improve clinical risk assessment of multiple myeloma (MM) patients. Methods: A total of 155 bone marrow samples from MM patients were collected from which RNA was analyzed by microarray. Sixteen previously developed GEP‐based markers were evaluated, combined with survival data, and studied using Cox proportional hazard regression. Results: Gene expression profiling‐based markers SKY92 and the PR‐cluster were shown to be independent prognostic factors for survival, with hazard ratios and 95% confidence interval of 3.6 [2.0‐6.8] ( P < .001) and 5.8 [2.7‐12.7] ( P < .01) for overall survival (OS). A multivariate model proved only SKY92 and the PR‐cluster to be independent prognostic factors compared to cytogenetic high‐risk patients, the International Staging System (ISS), and revised ISS. A substantial number of high‐risk individuals could be further identified when SKY92 was added to the cytogenetic, ISS, or R‐ISS. In the cytogenetic standard‐risk group, ISS I/II, and R‐ISS I/II, 13%, 23%, and 23% of patients with adverse survivals were identified. Conclusions: For the first time, this study confirmed the prognostic value of GEP markers outside clinical trials. Conventional prognostic models to define high‐risk MM are improved by the incorporation of GEP markers. … (more)
- Is Part Of:
- International journal of laboratory hematology. Volume 44:Number 1(2022)
- Journal:
- International journal of laboratory hematology
- Issue:
- Volume 44:Number 1(2022)
- Issue Display:
- Volume 44, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 44
- Issue:
- 1
- Issue Sort Value:
- 2022-0044-0001-0000
- Page Start:
- 127
- Page End:
- 134
- Publication Date:
- 2021-08-26
- Subjects:
- gene expression profiling -- multiple myeloma -- prognostication
Hematology -- Periodicals
Blood -- Diseases -- Periodicals
Hematology -- Periodicals
616.15005 - Journal URLs:
- http://firstsearch.oclc.org/FSIP?db=ECO&journal=1751-5521&screen=info&done=referer ↗
http://www.blackwell-synergy.com/loi/clh ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1751-553X ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1111/ijlh.13691 ↗
- Languages:
- English
- ISSNs:
- 1751-5521
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.312220
British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 20367.xml