Blood Res 2021; 56(3):
Published online September 30, 2021
https://doi.org/10.5045/br.2021.2020335
© The Korean Society of Hematology
Correspondence to : Karen Shires, Ph.D.
Division of Haematology, UCT Medical School, Anzio Road, Observatory 7221, Cape Town, South Africa
E-mail: Karen.shires@uct.ac.za
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background
It is thought that cancer/testis antigens (CTAs) are expressed in a cascade-like manner in multiple myeloma as the disease progresses. In this pilot study, we investigated the co-expression of several CTAs in the peripheral blood (PB) during patient therapy to establish whether monitoring multiple CTAs allows for the prediction of relapse and clonal evolution.
Methods
We examined the co-expression of MAGEC1, MAGEA3, PRAME, and BAGE2 via quantitative reverse transcription-polymerase chain reaction (qRT-PCR) duplex assays in the PB mononuclear cells of 10 patients on chemotherapy at 3-month intervals, and correlated the levels to those of two basic clinical monitoring markers, serum -2-microglobulin and serum M protein. Clonal evolution was investigated using flow cytometry to label the circulating malignant stem cell components with MAGEC1, PRAME, and MAGEA3 antibodies.
Results
Simultaneous monitoring of MAGEC1/PRAME provided sensitive detection of circulating malignant cells in easily accessible PB samples; transcript levels increased prior to changes in indicators of clinical relapse. While MAGEA3/BAGE2 expression levels did not offer earlier prediction of relapse, they provided insight into significant changes occurring within the malignant cell population; the addition of either CTA to a MAGEC1-monitoring panel allowed for better classification of the relapse event (clonal evolution), which in turn could potentially guide treatment strategies in the future.
Conclusion
This pilot study supports the novel idea of determining the levels and CTA expression patterns of the total circulating malignant cell population (pro-B/pre-B stem cell progenitors and proliferating plasma cells) as an alternate disease monitoring methodology.
Keywords CTA, MAGEC1, Myeloma, Cascade, Monitoring, PRAME
Blood Res 2021; 56(3): 156-165
Published online September 30, 2021 https://doi.org/10.5045/br.2021.2020335
Copyright © The Korean Society of Hematology.
Karen Shires1, Teagan Van Wyk2, Kirsty Wienand3
1Division of Haematology, Department of Pathology, University of Cape Town and National Health Laboratory Service/Groote Schuur Hospital, 2Department of Medicine, University of Cape Town, Cape Town, South Africa, 3Division of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
Correspondence to:Karen Shires, Ph.D.
Division of Haematology, UCT Medical School, Anzio Road, Observatory 7221, Cape Town, South Africa
E-mail: Karen.shires@uct.ac.za
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Background
It is thought that cancer/testis antigens (CTAs) are expressed in a cascade-like manner in multiple myeloma as the disease progresses. In this pilot study, we investigated the co-expression of several CTAs in the peripheral blood (PB) during patient therapy to establish whether monitoring multiple CTAs allows for the prediction of relapse and clonal evolution.
Methods
We examined the co-expression of MAGEC1, MAGEA3, PRAME, and BAGE2 via quantitative reverse transcription-polymerase chain reaction (qRT-PCR) duplex assays in the PB mononuclear cells of 10 patients on chemotherapy at 3-month intervals, and correlated the levels to those of two basic clinical monitoring markers, serum -2-microglobulin and serum M protein. Clonal evolution was investigated using flow cytometry to label the circulating malignant stem cell components with MAGEC1, PRAME, and MAGEA3 antibodies.
Results
Simultaneous monitoring of MAGEC1/PRAME provided sensitive detection of circulating malignant cells in easily accessible PB samples; transcript levels increased prior to changes in indicators of clinical relapse. While MAGEA3/BAGE2 expression levels did not offer earlier prediction of relapse, they provided insight into significant changes occurring within the malignant cell population; the addition of either CTA to a MAGEC1-monitoring panel allowed for better classification of the relapse event (clonal evolution), which in turn could potentially guide treatment strategies in the future.
Conclusion
This pilot study supports the novel idea of determining the levels and CTA expression patterns of the total circulating malignant cell population (pro-B/pre-B stem cell progenitors and proliferating plasma cells) as an alternate disease monitoring methodology.
Keywords: CTA, MAGEC1, Myeloma, Cascade, Monitoring, PRAME
Table 1 . Diagnostic characteristics of multiple myeloma (MM) patients (modified from Shires and Wienand, 2016 [21])..
Patient No. | Age, sex | Disease subtype (Igk/Igl)a) | Disease stage at diagnosisb), CRAB featuresc) | Treatment | Sampling period (mo) | % MAGEC1 cells at diagnosis in PB | |||
---|---|---|---|---|---|---|---|---|---|
Totale) | CD34+ | CD19+ | CD138+f) | ||||||
1 | 66, F | IgGl | 2, RAB | Cyclophosphamide+dexamethasone, localized radiation | 12d) | 1.29 | 0.71 | 0.46 | 0.12 |
2 | 80, M | IgAl | 3, CRAB | Alternating between cyclophosphamide+dexamethasone and melphalan+prednisone | 9d) | 1.35 | 0.43 | 0.52 | 0.41 |
3 | 73, F | IgGl | 1, AB | Cyclophosphamide for one month, thereafter no myeloma treatment | 24 | 1.82 | 0.86 | 0.86 | 0.22 |
4 | 73, F | IgGk | 1, B | Melphalan+prednisone | 24 | 1.99 | 1.00 | 0.93 | 0.06 |
6 | 33, M | IgGk | 2, AB | Alternating between cyclophosphamide+dexamethasone and melphalan+prednisone | 18d) | 1.15 | 0.59 | 0.43 | 0.13 |
7 | 66, M | IgGk | 2, AB | Alternating between cyclophosphamide+prednisone and melphalan+prednisone, localized radiation | 24 | 1.24 | 0.41 | 0.45 | 0.29 |
8 | 49, F | IgAk | 3, RAB | Cyclophosphamide+dexamethasone as well as localized radiation | 12d) | 1.46 | 0.42 | 0.75 | 0.26 |
9 | 83, F | IgGk | 1, AB | Cyclophosphamide+prednisone as well as localized radiation | 24 | 1.12 | 0.45 | 0.42 | 0.26 |
10 | 64, M | IgAk | 2, AB | Cyclophosphamide+dexamethasone | 6d) | 1.15 | 0.65 | 0.46 | 0.05 |
12 | 66, M | IgGk | 2, RB | Localized radiation, cyclophosphamide+prednisone | 6d) | 1.17 | 0.22 | 0.65 | 0.25 |
a)Immunoglobulin G or A Lambda (Igl)/Kappa (Igk). b)ISS–International staging system (Greipp
Abbreviations: F, female; M, male..
Table 2 . Primers and probe sequences for the CTA duplex qRT-PCR assays..
MAGEA3/ABL duplex (NM_5362.3)a) | |
---|---|
CTA primers | TCTTGAGCAGAGGAGTCAGCAC (F); GATCTGGTGACTCGGGAGCA (R) |
CTA probe | 56-FAM/CTCCCCCAG/ZEN/GGTGACTTCAACTA/3IABkFQ |
ABL primers | TGGAGATAACACTCTAAGCATAACTAA (F) |
GATGTAGTTGCTTGGGACCCA (R) | |
ABL probe | Cy5/CCATTTTTGGTTTGGGCTTCACACCATT/IAbRGSp |
Amplicon | 176 bp (MAGEA3)+124 bp (ABL) |
PRAME/ABL duplex (NM_6115.4) | |
CTA primers | CTGTGCTTGATGGACTTGATGTG (F) |
GCTGCTCTGCCTCTGTGCTC (R) | |
CTA probe | 56-FAM/ACCATCTAC/ZEN/TTTTCGCTTCTTTGTCATGGG/3IABkFQ |
ABL primers | TGGAGATAACACTCTAAGCATAACTAA (F) |
GATGTAGTTGCTTGGGACCCA (R) | |
ABL probe | Cy5/CCATTTTTGGTTTGGGCTTCACACCATT/IAbRGSp |
Amplicon | 216 bp (PRAME)+124 bp (ABL) |
BAGE2/ABL duplex (NM_1839676.1) | |
CTA primers | CGGCCAGAGCGGTTTTT (F) |
CTCCTCCTATTGCTCCTGTTG (R) | |
CTA probe | 56-FAM/CGTCTCCAT/ZEN/CACCGTGGCTGCCACAA/IABkFG |
ABL primers | TGGAGATAACACTCTAAGCATAACTAA (F) |
GATGTAGTTGCTTGGGACCCA (R) | |
ABL probe | Cy5/CCATTTTTGGTTTGGGCTTCACACCATT/IAbRGSp |
Amplicon | 150 bp (BAGE2)+124 bp (ABL) |
a)GenBank ref sequence ID for CTA gene..
Young‑Uk Cho
Blood Res 2024; 59():Mi‑Ae Jang
Blood Res 2024; 59():Seok Jin Kim, Soo-Mee Bang, Yoon Seok Choi, Deog-Yeon Jo, Jin Seok Kim, Hyewon Lee, Hyeon Seok Eom, Dok Hyun Yoon, Cheolwon Suh, Je-Jung Lee, Junshik Hong, Jae Hoon Lee, Youngil Koh, Kihyun Kim, Sung-Soo Yoon, Chang-Ki Min, and Korean Multiple Myeloma Working Party
Blood Res 2016; 51(3): 193-199