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Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial

Multiple myeloma (MM) is a heterogeneous hematologic malignancy associated with several risk factors including genetic aberrations which impact disease response and survival. Thorough risk classification is essential to select the best clinical strategy to optimize outcomes. The SKY92 molecular sign...

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Autores principales: Biran, Noa, Dhakal, Binod, Lentzsch, Suzanne, Siegel, David, Usmani, Saad Z., Rossi, Adriana, Rosenbaum, Cara, Bhutani, Divaya, Vesole, David H., Rodriguez, Cesar, Nooka, Ajay K., van Rhee, Frits, Stork‐Sloots, Lisette, de Snoo, Femke, Bhattacharyya, Pritish K., Dash, Durga Prasad, Zümrütçü, Sena, van Vliet, Martin H., Hari, Parameswaran, Niesvizky, Ruben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175784/
https://www.ncbi.nlm.nih.gov/pubmed/35844693
http://dx.doi.org/10.1002/jha2.209
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author Biran, Noa
Dhakal, Binod
Lentzsch, Suzanne
Siegel, David
Usmani, Saad Z.
Rossi, Adriana
Rosenbaum, Cara
Bhutani, Divaya
Vesole, David H.
Rodriguez, Cesar
Nooka, Ajay K.
van Rhee, Frits
Stork‐Sloots, Lisette
de Snoo, Femke
Bhattacharyya, Pritish K.
Dash, Durga Prasad
Zümrütçü, Sena
van Vliet, Martin H.
Hari, Parameswaran
Niesvizky, Ruben
author_facet Biran, Noa
Dhakal, Binod
Lentzsch, Suzanne
Siegel, David
Usmani, Saad Z.
Rossi, Adriana
Rosenbaum, Cara
Bhutani, Divaya
Vesole, David H.
Rodriguez, Cesar
Nooka, Ajay K.
van Rhee, Frits
Stork‐Sloots, Lisette
de Snoo, Femke
Bhattacharyya, Pritish K.
Dash, Durga Prasad
Zümrütçü, Sena
van Vliet, Martin H.
Hari, Parameswaran
Niesvizky, Ruben
author_sort Biran, Noa
collection PubMed
description Multiple myeloma (MM) is a heterogeneous hematologic malignancy associated with several risk factors including genetic aberrations which impact disease response and survival. Thorough risk classification is essential to select the best clinical strategy to optimize outcomes. The SKY92 molecular signature classifies patients as standard‐ or high‐risk for progression. The PRospective Observational Multiple Myeloma Impact Study (PROMMIS; NCT02911571) measures impact of SKY92 on risk classification and treatment plan. Newly diagnosed MM patients had bone marrow aspirates analyzed for SKY92. Physicians completed a questionnaire for each patient capturing risk classification, hypothetical treatment plan, and physician confidence in the treatment plan, before and after unblinding SKY92. One hundred forty seven MM patients were enrolled. Before unblinding SKY92, physicians regarded 74 (50%) patients as clinical standard‐risk. After unblinding SKY92, 16 patients were re‐assigned as high‐risk by the physician, and for 15 of them treatment strategy was impacted, resulting in an escalated treatment plan. For the 73 (50%) clinical high‐risk patients, SKY92 indicated 46 patients to be standard‐risk; for 31 of these patients the treatment strategy was impacted consistent with a de‐escalation of risk. Overall, SKY92 impacted treatment decisions in 37% of patients (p < 0.001). For clinical decision‐making, physicians incorporated SKY92, and the final assigned clinical risk was in line with SKY92 for 89% of patients. Furthermore, SKY92 significantly increased the confidence of the physicians’ treatment decisions (p < 0.001). This study shows potential added value of SKY92 in MM for treatment decision making.
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spelling pubmed-91757842022-07-14 Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial Biran, Noa Dhakal, Binod Lentzsch, Suzanne Siegel, David Usmani, Saad Z. Rossi, Adriana Rosenbaum, Cara Bhutani, Divaya Vesole, David H. Rodriguez, Cesar Nooka, Ajay K. van Rhee, Frits Stork‐Sloots, Lisette de Snoo, Femke Bhattacharyya, Pritish K. Dash, Durga Prasad Zümrütçü, Sena van Vliet, Martin H. Hari, Parameswaran Niesvizky, Ruben EJHaem Haematologic Malignancy ‐ Plasma Cell Multiple myeloma (MM) is a heterogeneous hematologic malignancy associated with several risk factors including genetic aberrations which impact disease response and survival. Thorough risk classification is essential to select the best clinical strategy to optimize outcomes. The SKY92 molecular signature classifies patients as standard‐ or high‐risk for progression. The PRospective Observational Multiple Myeloma Impact Study (PROMMIS; NCT02911571) measures impact of SKY92 on risk classification and treatment plan. Newly diagnosed MM patients had bone marrow aspirates analyzed for SKY92. Physicians completed a questionnaire for each patient capturing risk classification, hypothetical treatment plan, and physician confidence in the treatment plan, before and after unblinding SKY92. One hundred forty seven MM patients were enrolled. Before unblinding SKY92, physicians regarded 74 (50%) patients as clinical standard‐risk. After unblinding SKY92, 16 patients were re‐assigned as high‐risk by the physician, and for 15 of them treatment strategy was impacted, resulting in an escalated treatment plan. For the 73 (50%) clinical high‐risk patients, SKY92 indicated 46 patients to be standard‐risk; for 31 of these patients the treatment strategy was impacted consistent with a de‐escalation of risk. Overall, SKY92 impacted treatment decisions in 37% of patients (p < 0.001). For clinical decision‐making, physicians incorporated SKY92, and the final assigned clinical risk was in line with SKY92 for 89% of patients. Furthermore, SKY92 significantly increased the confidence of the physicians’ treatment decisions (p < 0.001). This study shows potential added value of SKY92 in MM for treatment decision making. John Wiley and Sons Inc. 2021-05-11 /pmc/articles/PMC9175784/ /pubmed/35844693 http://dx.doi.org/10.1002/jha2.209 Text en © 2021 The Authors. eJHaem published by British Society for Haematology and John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Haematologic Malignancy ‐ Plasma Cell
Biran, Noa
Dhakal, Binod
Lentzsch, Suzanne
Siegel, David
Usmani, Saad Z.
Rossi, Adriana
Rosenbaum, Cara
Bhutani, Divaya
Vesole, David H.
Rodriguez, Cesar
Nooka, Ajay K.
van Rhee, Frits
Stork‐Sloots, Lisette
de Snoo, Femke
Bhattacharyya, Pritish K.
Dash, Durga Prasad
Zümrütçü, Sena
van Vliet, Martin H.
Hari, Parameswaran
Niesvizky, Ruben
Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title_full Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title_fullStr Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title_full_unstemmed Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title_short Gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective PROMMIS trial
title_sort gene expression profiling impacts treatment decision making in newly diagnosed multiple myeloma patients in the prospective prommis trial
topic Haematologic Malignancy ‐ Plasma Cell
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9175784/
https://www.ncbi.nlm.nih.gov/pubmed/35844693
http://dx.doi.org/10.1002/jha2.209
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