Blood Res 2022; 57(4):
Published online December 31, 2022
https://doi.org/10.5045/br.2022.2022097
© The Korean Society of Hematology
Correspondence to : Istemi Serin, M.D.
Department of Hematology, Istanbul Training and Research Hospital, University of Health Sciences, Org. Nafiz Gurman Cad. Fatih 34098, Istanbul, Turkey
E-mail: serinistemi@hotmail.com
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
The suppressor of cytokine signaling-1 (SOCS-1) functions to induce an appropriate immune response and is an essential physiological regulator of interferon signaling. DNA methylation involves adding a methyl group to the carbon 5 position of cytosine. Besides comparing SOCS-1 gene methylation status between patients with multiple myeloma (MM) and healthy controls, this study also aimed to demonstrate the effect of SOCS-1 gene distribution and the effect of methylation of SOCS-1 on progression-free survival (PFS) and overall survival (OS).
Methods
This study included 120 patients diagnosed with MM between January 2018 and 2020 and 80 healthy individuals. The distribution of the SOCS-1 genotypes was statistically compared between MM patients and healthy controls. Additionally, the statistically significant effects of these genotypes on survival were examined.
Results
The CA/CA genotype of SOCS-1 was significantly higher in healthy controls (P=0.001), while the Del/Del genotype was significantly higher in patients with MM (P=0.034). The percent methylated reference (PMR) value of the SOCS-1 gene was significantly higher in the healthy controls (median, 43.48; range, 2.76‒247.75; P=0.001). Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48.
Conclusion
The effects of SOCS-1 polymorphisms on the pathogenesis of MM and SOCS-1 methylation will further shed light on the pathophysiology of MM.
Keywords: Multiple myeloma, SOCS-1, Epigenetics, Methylation, Survival
Multiple myeloma (MM) is a malignant disease of plasma cells that causes the overproduction of monoclonal light and heavy chains [1]. High-dose chemotherapy followed by autologous stem cell transplantation (ASCT) is the preferred standard therapy for eligible MM patients. The International Staging System (ISS) was created with beta-2 microglobulin and serum albumin values. In addition to the ISS, the Revised ISS (R-ISS) was created by using additional factors such as serum lactate dehydrogenase (LDH) and deletion of 17p, t(4;14), t(14;16) as detected by interphase fluorescent in situ hybridization [2-4].
The suppressor of cytokine signaling-1 (SOCS-1) gene is a short sequence located on chromosome 16 [5]. The coding sequence consists of two exons regulated by a promoter region characterized by a large CpG island spanning the gene from its promoter to the end of the second exon [5]. SOCS-1 functions to induce an appropriate immune response and is an essential physiological regulator of interferon signaling [5, 6]. SOCS-1 directly interacts with Janus kinases (JAKs), the main intracellular mediators of immune cytokine action, and inhibits their tyrosine-kinase activities [6]. The JAK signal transducer of activation (STAT) pathway is a cellular signaling pathway that is stimulated by interleukin-6 (IL-6), an important growth factor for myeloma cell survival [7]. SOCS-1 is methylated and down-regulated in patients with MM [7-10], leading to over-activation of the JAK-STAT pathway [7]. However, its role in the progression of SOCS-1 and MM epigenetics has not been established.
DNA methylation, an epigenetic regulatory mechanism frequently studied in MM and many tumors, involves adding a methyl group to the carbon 5 position of cytosine [11]. This reaction is catalyzed by DNA methyltransferases and occurs when cytosine is part of the 5’-CG-3’ sequence known as CpG or CG dinucleotide [12-14]. CpG islands are small regions of DNA usually located at the 5’ end of a gene. They range in size from 0.5 to 5 kb and are generally protected from methylation leading to down-regulation of their expression [12-14]. Global DNA and specific gene methylation constitute an important area of study.
Besides comparing SOCS-1 gene methylation status between patients with MM and the healthy control group, this study also aimed to demonstrate the effect of SOCS-1
This study included 120 MM patients in the Gaziantep University Hematology Clinic between January 2018 and January 2020. The control group involving 80 healthy individuals had no cancer and consisted of an unrelated individuals permanently residing in Turkey. In addition to demographic data, such as age and gender, the patients’ initial Durie-Salmon stages, ISS scores, Eastern Cooperative Oncology Group scores, laboratory data (hemoglobin, leukocytes, platelets, C-reactive protein, LDH, b2-microglobulin, albumin), first-line treatments, PFS and OS data, mortality rates, and mean follow-up duration were recorded.
All patients were found eligible for ASCT at the initial evaluation. ASCT was performed for all patients after four courses of VCD (bortezomib, cyclophosphamide, and dexamethasone) with at least a partial remission. LD (lenalidomide, dexamethasone) was used as maintenance therapy.
Leukocytes were isolated from the blood samples taken into 2 mL EDTA tubes from the patients and control group individuals in the study. DNA isolation was performed from the leukocytes with the Quick-DNA Miniprep Plus Kit (Zymo Research) commercial kit according to the manufacturer’s instructions. DNA samples were stored at -20°C.
SOCS-1
DNA bisulfite conversion was first performed for SOCS-1 gene methylation analysis using the EZ-96 DNA Methylation-Gold Kit (Zymo Research) protocol.
Bisulfite-converted DNA samples were analyzed using a real-time quantitative methylation-specific PCR method to measure the methylation status of the SOCS-1 gene. The primer sequences for the SOCS-1 gene are 5-TTCGCG TGTATTTTTAGGTCGGTC-3 (forward) and 5-CGACACA ACTCCTACAACGACCG3 (reverse) [16]. The primer sequences for the control gene b-actin are 5'-TGGTGATG GAGGAGGTTTAGTAAGT-3' (forward) and 5'-AACCAAT AAAACCTACTCCTCCCTTAA-3' (reverse) [17]. Percent methylated reference (PMR) value of SOCS-1 in each sample was calculated using the 2-ΔΔCq method. ΔΔCq was calculated by subtracting the fully methylated DNA (Cq target gene-Cq ACTB control) from the sample DNA (Cq target gene-Cq ACTBcontrol) [18].
The CA/CA, CA/Del, and Del/Del genotypes and the CA and Del alleles of the SOCS-1 gene
Ethical committee approval was received (Istanbul University, Faculty of Medicine, approval date and number: 29/05/2020-86529), and the patients and control subjects gave written informed consent before the beginning of the study. The present study was conducted following the principles of the Declaration of Helsinki.
The SPSS 21 package program was used for the statistical analysis of all data. The statistical significance of the differences between the patient and control groups was estimated by logistic regression analysis. Exp odds ratios (ORs) were calculated using a logistic regression model controlled for gender and age and reported at 95% confidence intervals. Differences in SOCS-1
Of the 120 patients in our study, 56 (47%) were female and 53 (53%) were male. The median age of the patients was 55 (range, 32–70). There was no difference between the control and the patient group regarding gender distribution (
Table 1 Clinical features and treatment regimens of patients with MM.
Multiple myeloma | ||
---|---|---|
Median | N=120 (%) | |
Age | 55 (32–70) | |
Gender | ||
Female/male | 56/64 (47/53) | |
Stage (Durie-Salmon) | ||
II/III | 29/69 (37.9/62.1) | |
ISS | ||
I | 31 (32) | |
II/III | 25/41 (25.8/41.3) | |
Hemoglobin | ||
gr/dL | 10.3 (6.2–15) | |
Leukocyte | ||
/mL | 6,900 (2,760–18,500) | |
Platelets | ||
/mL | 183,000 (103,000–406,000) | |
C-reactive protein | 7.2 (2.1–352) | |
mg/dL | ||
LDH | ||
IU/L | 203 (93–1,037) | |
B2-microglobulin | ||
mg/L | 5 (1.5-47.4) | |
Albumin | ||
gr/L | 3.5 (1.6–5.1) | |
Treatment | ||
VCD, ASCT, LD (%) | (100) | |
OS (5-year, %) | (80) | |
PFS (5-year, %) | (52) | |
Relapse | 44 (36.7) | |
Mortality | 18 (15) | |
Follow-up duration (mo) | 38.3 (4.1–105.3) |
Abbreviations: ASCT, autologous stem cell transplantation; IPI, International prognostic index; LD, lenalidomide, dexamethasone; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; VCD, bortezomib, cyclophosphamide, and dexamethasone.
In the statistical analysis of SOCS-1
Table 2 Comparison of frequencies of SOCS-1 gene
SOCS-1 | Genotype | Multiple myeloma N=120 (%) | Healthy control N=80 (%) | OR Exp(B) | 95% CI | |
---|---|---|---|---|---|---|
SOCS-1 | CA/CA | 20 (16.7) | 30 (37.5) | 0.243a) | 0.106–0.558a) | 0.001a) |
CA/Del | 49 (40.8) | 29 (36.3) | 0.620a) | 0.294–1.309a) | 0.210a) | |
Del/Del | 51 (42.5) | 21 (26.2) | 0.498b) | 0.269–0.923b) | 0.034b) | |
Allele | ||||||
CA | 89 (37.1) | 89 (55.6) | ||||
Del | 151 (62.9) | 71 (44.4) | 2.127b) | 1.415–3.196b) | 0.001b) | |
2^-ΔΔCt | ×100 (PMR) | 20.11 (2.11–717.30) | 43.48 (2.76–247.75) | 0.001c) |
a)OR (95% CI) was adjusted by age and sex, b)Fisher’s Exact test, c)Median test.
In the statistical analysis of the factors affecting PFS and OS, the SOCS-1
In the statistical analysis performed according to the median PMR value of 43.48 of the healthy controls, it was observed that patients with a PMR value of ≥43.48 had a significantly shorter PFS (for <43.48% 56, for ≥43.48% 43;
Table 3 Comparison of PFS and OS with prognostic factors of patients with MM.
N | PFS (5-year %) | Log-rank | OS (5-year %) | Log-rank | |
---|---|---|---|---|---|
Gender | 120 | 52 | 80 | ||
Female/male | 56/64 | 61/40 | 0.121 | 94/69 | 0.005 |
Age | |||||
<65/≥65 | 103/17 | 55/24 | 0.281 | 86/34 | 0.001 |
ISS | |||||
I | 31 | 61 | 92 | ||
II | 25 | 57 | 78 | ||
III | 41 | 40 | 0.632 | 62 | 0.008 |
ISS | |||||
I–II | 56 | 59 | 90 | ||
III | 41 | 40 | 0.363 | 63/62 | 0.002 |
ECOG | |||||
≤1/>1 | 113/7 | 52/42 | 0.951 | 81/50 | 0.668 |
LDH (IU/L) | |||||
<480/≥480 | 92/5 | 53/40 | 0.272 | 80/60 | 0.216 |
CRP (mg/L) | |||||
<5/≥5 | 44/53 | 59/44 | 0.217 | 91/67 | 0.015 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del | 49 | 63 | 80 | ||
Del/Del | 51 | 52 | 0.229 | 78 | 0.763 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del+Del/Del | 100 | 57 | 0.140 | 79 | 0.462 |
2^-ΔΔCt×100 (PMR) | |||||
<43.48 | 84 | 56 | 82 | ||
≥43.48 | 36 | 43 | 0.027 | 77 | 0.484 |
Abbreviations: CRP, C-reactive protein; ECOG, Eastern Cooperative Oncology Group; ISS, International Staging System; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; PMR, percent methylated reference; SOCS-1, suppressor of cytokine signaling-1.
In the statistical analysis performed by dividing the patients into two subgroups as “low” and “high” PMR values (<43.48 and ≥43.48), the only significant result was obtained in terms of the presence of progression. Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48 (95% CI, 1.390–7.025;
Table 4 Statistical analysis according to the PMR cut-off value of 43.48.
2^-ΔΔCt×100 (PMR) <43.48 N=84 (%) | 2^-ΔΔCt×100 (PMR) ≥43.48 N=36 (%) | OR Exp(B) | 95% CI | ||
---|---|---|---|---|---|
Progression | |||||
(+) | 24 (28.6) | 20 (55.6) | |||
(-) | 60 (71.4) | 16 (44.4) | 3.125a) | 1.390–7.025a) | 0.006 |
a)OR (95% CI) was adjusted by age and sex.
Abbreviation: PMR, percent methylated reference.
This study includes significant and new literature contributions regarding MM epigenetics, SOCS-1
SOCS-1 gene polymorphisms and gene expression have been revealed in more than one study. The SOCS-1
Global DNA and specific gene methylations are a field of study that includes literature data on MM epigenetics [20, 21]. In a study from our clinic [22], hypermethylation was significantly higher in patients with MM than in healthy controls. Global hypermethylation in post-treatment measurements was significantly increased compared with the pre-treatment state. Regarding adenomatous polyposis coli-2 promoter gene-specific hypermethylation, no significant differences were detected between pre-and post-treatment values [22].
There are different studies on hypermethylation in SOCS-1 and MM patients. In the study of Chim
In a study in which oral azacitidine (AZA) was combined with lenalidomide and dexamethasone [24], the efficacy of lenalidomide in cases of previously unsuccessful relapsed/refractory MM was examined. The ORR was 37.5% and the clinical benefit rate was 50%. The median OS was 10.3 months and the median PFS was 2.6 months [24]. In another study [25], 40 patients with a diagnosis of relapsed/refractory MM were included, and the effectiveness of subcutaneous AZA was evaluated. A clinical benefit response has been obtained in 30% of patients included in the study. AZA was well tolerated up to the target of 50 mg/m2 subcutaneously twice a week in combination with LD [25]. In another important study [26], AZA inhibited the elaboration of both IL-6 receptor-alpha and IL-6, resulting in the reduced expression of phospho-STAT3 and Bcl-xl. Its antagonist effects and efficacy against IL-6, the basis of MM pathogenesis, are considered important for the future. In this present study, we had the opportunity to examine the effects of SOCS-1 methylation status on survival in patients treated with the same regimen and who underwent ASCT. It was revealed that patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48. In our study, no patient used hypomethylating agents. The use of hypomethylating agents and their effects on survival have opened a meaningful discussion topic. While the literature data reveals the effects of hypomethylating agents in relapsed/refractory myeloma cases, the patients included in our study received first-line therapy. These results contribute to another point regarding the discussion on early or first-line use of hypomethylating agents or their addition to the first-line treatment regimen.
There were significant limitations of our study. The first was the small patient population, which limited the statistical analysis. The second most important limitation was that it consisted of single-center data. Another limitation was that simultaneous SOCS-1 expressions of patients and healthy controls could not be measured.
In conclusion, while CA/CA genotype was statistically significantly higher in healthy controls, Del/Del genotype was significantly higher in patients with MM. The Del allele was higher in patients with MM, and CA genotype was higher in the healthy control group. The PMR value of the SOCS-1 gene was significantly higher in the healthy control group. Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48. The effects of SOCS-1 polymorphisms on the pathogenesis of MM and SOCS-1 methylation will shed light on the pathophysiology and treatment of MM.
We respectfully remember all the colleagues we lost in the fight against COVID-19.
No potential conflicts of interest relevant to this article were reported.
Blood Res 2022; 57(4): 250-255
Published online December 31, 2022 https://doi.org/10.5045/br.2022.2022097
Copyright © The Korean Society of Hematology.
Fatıma Ceren Tuncel1, Istemi Serin2, Sacide Pehlivan1, Yasemin Oyaci1, Mustafa Pehlivan3
1Department of Medical Biology, Faculty of Medicine, Institute of Health Sciences, Istanbul University, 2Department of Hematology, Istanbul Training and Research Hospital, University of Health Sciences, Istanbul, 3Department of Hematology, Faculty of Medicine, Gaziantep University, Gaziantep, Turkey
Correspondence to:Istemi Serin, M.D.
Department of Hematology, Istanbul Training and Research Hospital, University of Health Sciences, Org. Nafiz Gurman Cad. Fatih 34098, Istanbul, Turkey
E-mail: serinistemi@hotmail.com
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
The suppressor of cytokine signaling-1 (SOCS-1) functions to induce an appropriate immune response and is an essential physiological regulator of interferon signaling. DNA methylation involves adding a methyl group to the carbon 5 position of cytosine. Besides comparing SOCS-1 gene methylation status between patients with multiple myeloma (MM) and healthy controls, this study also aimed to demonstrate the effect of SOCS-1 gene distribution and the effect of methylation of SOCS-1 on progression-free survival (PFS) and overall survival (OS).
Methods
This study included 120 patients diagnosed with MM between January 2018 and 2020 and 80 healthy individuals. The distribution of the SOCS-1 genotypes was statistically compared between MM patients and healthy controls. Additionally, the statistically significant effects of these genotypes on survival were examined.
Results
The CA/CA genotype of SOCS-1 was significantly higher in healthy controls (P=0.001), while the Del/Del genotype was significantly higher in patients with MM (P=0.034). The percent methylated reference (PMR) value of the SOCS-1 gene was significantly higher in the healthy controls (median, 43.48; range, 2.76‒247.75; P=0.001). Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48.
Conclusion
The effects of SOCS-1 polymorphisms on the pathogenesis of MM and SOCS-1 methylation will further shed light on the pathophysiology of MM.
Keywords: Multiple myeloma, SOCS-1, Epigenetics, Methylation, Survival
Multiple myeloma (MM) is a malignant disease of plasma cells that causes the overproduction of monoclonal light and heavy chains [1]. High-dose chemotherapy followed by autologous stem cell transplantation (ASCT) is the preferred standard therapy for eligible MM patients. The International Staging System (ISS) was created with beta-2 microglobulin and serum albumin values. In addition to the ISS, the Revised ISS (R-ISS) was created by using additional factors such as serum lactate dehydrogenase (LDH) and deletion of 17p, t(4;14), t(14;16) as detected by interphase fluorescent in situ hybridization [2-4].
The suppressor of cytokine signaling-1 (SOCS-1) gene is a short sequence located on chromosome 16 [5]. The coding sequence consists of two exons regulated by a promoter region characterized by a large CpG island spanning the gene from its promoter to the end of the second exon [5]. SOCS-1 functions to induce an appropriate immune response and is an essential physiological regulator of interferon signaling [5, 6]. SOCS-1 directly interacts with Janus kinases (JAKs), the main intracellular mediators of immune cytokine action, and inhibits their tyrosine-kinase activities [6]. The JAK signal transducer of activation (STAT) pathway is a cellular signaling pathway that is stimulated by interleukin-6 (IL-6), an important growth factor for myeloma cell survival [7]. SOCS-1 is methylated and down-regulated in patients with MM [7-10], leading to over-activation of the JAK-STAT pathway [7]. However, its role in the progression of SOCS-1 and MM epigenetics has not been established.
DNA methylation, an epigenetic regulatory mechanism frequently studied in MM and many tumors, involves adding a methyl group to the carbon 5 position of cytosine [11]. This reaction is catalyzed by DNA methyltransferases and occurs when cytosine is part of the 5’-CG-3’ sequence known as CpG or CG dinucleotide [12-14]. CpG islands are small regions of DNA usually located at the 5’ end of a gene. They range in size from 0.5 to 5 kb and are generally protected from methylation leading to down-regulation of their expression [12-14]. Global DNA and specific gene methylation constitute an important area of study.
Besides comparing SOCS-1 gene methylation status between patients with MM and the healthy control group, this study also aimed to demonstrate the effect of SOCS-1
This study included 120 MM patients in the Gaziantep University Hematology Clinic between January 2018 and January 2020. The control group involving 80 healthy individuals had no cancer and consisted of an unrelated individuals permanently residing in Turkey. In addition to demographic data, such as age and gender, the patients’ initial Durie-Salmon stages, ISS scores, Eastern Cooperative Oncology Group scores, laboratory data (hemoglobin, leukocytes, platelets, C-reactive protein, LDH, b2-microglobulin, albumin), first-line treatments, PFS and OS data, mortality rates, and mean follow-up duration were recorded.
All patients were found eligible for ASCT at the initial evaluation. ASCT was performed for all patients after four courses of VCD (bortezomib, cyclophosphamide, and dexamethasone) with at least a partial remission. LD (lenalidomide, dexamethasone) was used as maintenance therapy.
Leukocytes were isolated from the blood samples taken into 2 mL EDTA tubes from the patients and control group individuals in the study. DNA isolation was performed from the leukocytes with the Quick-DNA Miniprep Plus Kit (Zymo Research) commercial kit according to the manufacturer’s instructions. DNA samples were stored at -20°C.
SOCS-1
DNA bisulfite conversion was first performed for SOCS-1 gene methylation analysis using the EZ-96 DNA Methylation-Gold Kit (Zymo Research) protocol.
Bisulfite-converted DNA samples were analyzed using a real-time quantitative methylation-specific PCR method to measure the methylation status of the SOCS-1 gene. The primer sequences for the SOCS-1 gene are 5-TTCGCG TGTATTTTTAGGTCGGTC-3 (forward) and 5-CGACACA ACTCCTACAACGACCG3 (reverse) [16]. The primer sequences for the control gene b-actin are 5'-TGGTGATG GAGGAGGTTTAGTAAGT-3' (forward) and 5'-AACCAAT AAAACCTACTCCTCCCTTAA-3' (reverse) [17]. Percent methylated reference (PMR) value of SOCS-1 in each sample was calculated using the 2-ΔΔCq method. ΔΔCq was calculated by subtracting the fully methylated DNA (Cq target gene-Cq ACTB control) from the sample DNA (Cq target gene-Cq ACTBcontrol) [18].
The CA/CA, CA/Del, and Del/Del genotypes and the CA and Del alleles of the SOCS-1 gene
Ethical committee approval was received (Istanbul University, Faculty of Medicine, approval date and number: 29/05/2020-86529), and the patients and control subjects gave written informed consent before the beginning of the study. The present study was conducted following the principles of the Declaration of Helsinki.
The SPSS 21 package program was used for the statistical analysis of all data. The statistical significance of the differences between the patient and control groups was estimated by logistic regression analysis. Exp odds ratios (ORs) were calculated using a logistic regression model controlled for gender and age and reported at 95% confidence intervals. Differences in SOCS-1
Of the 120 patients in our study, 56 (47%) were female and 53 (53%) were male. The median age of the patients was 55 (range, 32–70). There was no difference between the control and the patient group regarding gender distribution (
Table 1 . Clinical features and treatment regimens of patients with MM..
Multiple myeloma | ||
---|---|---|
Median | N=120 (%) | |
Age | 55 (32–70) | |
Gender | ||
Female/male | 56/64 (47/53) | |
Stage (Durie-Salmon) | ||
II/III | 29/69 (37.9/62.1) | |
ISS | ||
I | 31 (32) | |
II/III | 25/41 (25.8/41.3) | |
Hemoglobin | ||
gr/dL | 10.3 (6.2–15) | |
Leukocyte | ||
/mL | 6,900 (2,760–18,500) | |
Platelets | ||
/mL | 183,000 (103,000–406,000) | |
C-reactive protein | 7.2 (2.1–352) | |
mg/dL | ||
LDH | ||
IU/L | 203 (93–1,037) | |
B2-microglobulin | ||
mg/L | 5 (1.5-47.4) | |
Albumin | ||
gr/L | 3.5 (1.6–5.1) | |
Treatment | ||
VCD, ASCT, LD (%) | (100) | |
OS (5-year, %) | (80) | |
PFS (5-year, %) | (52) | |
Relapse | 44 (36.7) | |
Mortality | 18 (15) | |
Follow-up duration (mo) | 38.3 (4.1–105.3) |
Abbreviations: ASCT, autologous stem cell transplantation; IPI, International prognostic index; LD, lenalidomide, dexamethasone; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; VCD, bortezomib, cyclophosphamide, and dexamethasone..
In the statistical analysis of SOCS-1
Table 2 . Comparison of frequencies of SOCS-1 gene
SOCS-1 | Genotype | Multiple myeloma N=120 (%) | Healthy control N=80 (%) | OR Exp(B) | 95% CI | |
---|---|---|---|---|---|---|
SOCS-1 | CA/CA | 20 (16.7) | 30 (37.5) | 0.243a) | 0.106–0.558a) | 0.001a) |
CA/Del | 49 (40.8) | 29 (36.3) | 0.620a) | 0.294–1.309a) | 0.210a) | |
Del/Del | 51 (42.5) | 21 (26.2) | 0.498b) | 0.269–0.923b) | 0.034b) | |
Allele | ||||||
CA | 89 (37.1) | 89 (55.6) | ||||
Del | 151 (62.9) | 71 (44.4) | 2.127b) | 1.415–3.196b) | 0.001b) | |
2^-ΔΔCt | ×100 (PMR) | 20.11 (2.11–717.30) | 43.48 (2.76–247.75) | 0.001c) |
a)OR (95% CI) was adjusted by age and sex, b)Fisher’s Exact test, c)Median test..
In the statistical analysis of the factors affecting PFS and OS, the SOCS-1
In the statistical analysis performed according to the median PMR value of 43.48 of the healthy controls, it was observed that patients with a PMR value of ≥43.48 had a significantly shorter PFS (for <43.48% 56, for ≥43.48% 43;
Table 3 . Comparison of PFS and OS with prognostic factors of patients with MM..
N | PFS (5-year %) | Log-rank | OS (5-year %) | Log-rank | |
---|---|---|---|---|---|
Gender | 120 | 52 | 80 | ||
Female/male | 56/64 | 61/40 | 0.121 | 94/69 | 0.005 |
Age | |||||
<65/≥65 | 103/17 | 55/24 | 0.281 | 86/34 | 0.001 |
ISS | |||||
I | 31 | 61 | 92 | ||
II | 25 | 57 | 78 | ||
III | 41 | 40 | 0.632 | 62 | 0.008 |
ISS | |||||
I–II | 56 | 59 | 90 | ||
III | 41 | 40 | 0.363 | 63/62 | 0.002 |
ECOG | |||||
≤1/>1 | 113/7 | 52/42 | 0.951 | 81/50 | 0.668 |
LDH (IU/L) | |||||
<480/≥480 | 92/5 | 53/40 | 0.272 | 80/60 | 0.216 |
CRP (mg/L) | |||||
<5/≥5 | 44/53 | 59/44 | 0.217 | 91/67 | 0.015 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del | 49 | 63 | 80 | ||
Del/Del | 51 | 52 | 0.229 | 78 | 0.763 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del+Del/Del | 100 | 57 | 0.140 | 79 | 0.462 |
2^-ΔΔCt×100 (PMR) | |||||
<43.48 | 84 | 56 | 82 | ||
≥43.48 | 36 | 43 | 0.027 | 77 | 0.484 |
Abbreviations: CRP, C-reactive protein; ECOG, Eastern Cooperative Oncology Group; ISS, International Staging System; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; PMR, percent methylated reference; SOCS-1, suppressor of cytokine signaling-1..
In the statistical analysis performed by dividing the patients into two subgroups as “low” and “high” PMR values (<43.48 and ≥43.48), the only significant result was obtained in terms of the presence of progression. Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48 (95% CI, 1.390–7.025;
Table 4 . Statistical analysis according to the PMR cut-off value of 43.48..
2^-ΔΔCt×100 (PMR) <43.48 N=84 (%) | 2^-ΔΔCt×100 (PMR) ≥43.48 N=36 (%) | OR Exp(B) | 95% CI | ||
---|---|---|---|---|---|
Progression | |||||
(+) | 24 (28.6) | 20 (55.6) | |||
(-) | 60 (71.4) | 16 (44.4) | 3.125a) | 1.390–7.025a) | 0.006 |
a)OR (95% CI) was adjusted by age and sex..
Abbreviation: PMR, percent methylated reference..
This study includes significant and new literature contributions regarding MM epigenetics, SOCS-1
SOCS-1 gene polymorphisms and gene expression have been revealed in more than one study. The SOCS-1
Global DNA and specific gene methylations are a field of study that includes literature data on MM epigenetics [20, 21]. In a study from our clinic [22], hypermethylation was significantly higher in patients with MM than in healthy controls. Global hypermethylation in post-treatment measurements was significantly increased compared with the pre-treatment state. Regarding adenomatous polyposis coli-2 promoter gene-specific hypermethylation, no significant differences were detected between pre-and post-treatment values [22].
There are different studies on hypermethylation in SOCS-1 and MM patients. In the study of Chim
In a study in which oral azacitidine (AZA) was combined with lenalidomide and dexamethasone [24], the efficacy of lenalidomide in cases of previously unsuccessful relapsed/refractory MM was examined. The ORR was 37.5% and the clinical benefit rate was 50%. The median OS was 10.3 months and the median PFS was 2.6 months [24]. In another study [25], 40 patients with a diagnosis of relapsed/refractory MM were included, and the effectiveness of subcutaneous AZA was evaluated. A clinical benefit response has been obtained in 30% of patients included in the study. AZA was well tolerated up to the target of 50 mg/m2 subcutaneously twice a week in combination with LD [25]. In another important study [26], AZA inhibited the elaboration of both IL-6 receptor-alpha and IL-6, resulting in the reduced expression of phospho-STAT3 and Bcl-xl. Its antagonist effects and efficacy against IL-6, the basis of MM pathogenesis, are considered important for the future. In this present study, we had the opportunity to examine the effects of SOCS-1 methylation status on survival in patients treated with the same regimen and who underwent ASCT. It was revealed that patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48. In our study, no patient used hypomethylating agents. The use of hypomethylating agents and their effects on survival have opened a meaningful discussion topic. While the literature data reveals the effects of hypomethylating agents in relapsed/refractory myeloma cases, the patients included in our study received first-line therapy. These results contribute to another point regarding the discussion on early or first-line use of hypomethylating agents or their addition to the first-line treatment regimen.
There were significant limitations of our study. The first was the small patient population, which limited the statistical analysis. The second most important limitation was that it consisted of single-center data. Another limitation was that simultaneous SOCS-1 expressions of patients and healthy controls could not be measured.
In conclusion, while CA/CA genotype was statistically significantly higher in healthy controls, Del/Del genotype was significantly higher in patients with MM. The Del allele was higher in patients with MM, and CA genotype was higher in the healthy control group. The PMR value of the SOCS-1 gene was significantly higher in the healthy control group. Patients with a PMR value of ≥43.48 were 3.125 times more likely to develop progression than those with a PMR value of <43.48. The effects of SOCS-1 polymorphisms on the pathogenesis of MM and SOCS-1 methylation will shed light on the pathophysiology and treatment of MM.
We respectfully remember all the colleagues we lost in the fight against COVID-19.
No potential conflicts of interest relevant to this article were reported.
Table 1 . Clinical features and treatment regimens of patients with MM..
Multiple myeloma | ||
---|---|---|
Median | N=120 (%) | |
Age | 55 (32–70) | |
Gender | ||
Female/male | 56/64 (47/53) | |
Stage (Durie-Salmon) | ||
II/III | 29/69 (37.9/62.1) | |
ISS | ||
I | 31 (32) | |
II/III | 25/41 (25.8/41.3) | |
Hemoglobin | ||
gr/dL | 10.3 (6.2–15) | |
Leukocyte | ||
/mL | 6,900 (2,760–18,500) | |
Platelets | ||
/mL | 183,000 (103,000–406,000) | |
C-reactive protein | 7.2 (2.1–352) | |
mg/dL | ||
LDH | ||
IU/L | 203 (93–1,037) | |
B2-microglobulin | ||
mg/L | 5 (1.5-47.4) | |
Albumin | ||
gr/L | 3.5 (1.6–5.1) | |
Treatment | ||
VCD, ASCT, LD (%) | (100) | |
OS (5-year, %) | (80) | |
PFS (5-year, %) | (52) | |
Relapse | 44 (36.7) | |
Mortality | 18 (15) | |
Follow-up duration (mo) | 38.3 (4.1–105.3) |
Abbreviations: ASCT, autologous stem cell transplantation; IPI, International prognostic index; LD, lenalidomide, dexamethasone; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; VCD, bortezomib, cyclophosphamide, and dexamethasone..
Table 2 . Comparison of frequencies of SOCS-1 gene
SOCS-1 | Genotype | Multiple myeloma N=120 (%) | Healthy control N=80 (%) | OR Exp(B) | 95% CI | |
---|---|---|---|---|---|---|
SOCS-1 | CA/CA | 20 (16.7) | 30 (37.5) | 0.243a) | 0.106–0.558a) | 0.001a) |
CA/Del | 49 (40.8) | 29 (36.3) | 0.620a) | 0.294–1.309a) | 0.210a) | |
Del/Del | 51 (42.5) | 21 (26.2) | 0.498b) | 0.269–0.923b) | 0.034b) | |
Allele | ||||||
CA | 89 (37.1) | 89 (55.6) | ||||
Del | 151 (62.9) | 71 (44.4) | 2.127b) | 1.415–3.196b) | 0.001b) | |
2^-ΔΔCt | ×100 (PMR) | 20.11 (2.11–717.30) | 43.48 (2.76–247.75) | 0.001c) |
a)OR (95% CI) was adjusted by age and sex, b)Fisher’s Exact test, c)Median test..
Table 3 . Comparison of PFS and OS with prognostic factors of patients with MM..
N | PFS (5-year %) | Log-rank | OS (5-year %) | Log-rank | |
---|---|---|---|---|---|
Gender | 120 | 52 | 80 | ||
Female/male | 56/64 | 61/40 | 0.121 | 94/69 | 0.005 |
Age | |||||
<65/≥65 | 103/17 | 55/24 | 0.281 | 86/34 | 0.001 |
ISS | |||||
I | 31 | 61 | 92 | ||
II | 25 | 57 | 78 | ||
III | 41 | 40 | 0.632 | 62 | 0.008 |
ISS | |||||
I–II | 56 | 59 | 90 | ||
III | 41 | 40 | 0.363 | 63/62 | 0.002 |
ECOG | |||||
≤1/>1 | 113/7 | 52/42 | 0.951 | 81/50 | 0.668 |
LDH (IU/L) | |||||
<480/≥480 | 92/5 | 53/40 | 0.272 | 80/60 | 0.216 |
CRP (mg/L) | |||||
<5/≥5 | 44/53 | 59/44 | 0.217 | 91/67 | 0.015 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del | 49 | 63 | 80 | ||
Del/Del | 51 | 52 | 0.229 | 78 | 0.763 |
SOCS-1 ( | |||||
CA/CA | 20 | 27 | 81 | ||
CA/Del+Del/Del | 100 | 57 | 0.140 | 79 | 0.462 |
2^-ΔΔCt×100 (PMR) | |||||
<43.48 | 84 | 56 | 82 | ||
≥43.48 | 36 | 43 | 0.027 | 77 | 0.484 |
Abbreviations: CRP, C-reactive protein; ECOG, Eastern Cooperative Oncology Group; ISS, International Staging System; LDH, lactate dehydrogenase; OS, overall survival; PFS, progression-free survival; PMR, percent methylated reference; SOCS-1, suppressor of cytokine signaling-1..
Table 4 . Statistical analysis according to the PMR cut-off value of 43.48..
2^-ΔΔCt×100 (PMR) <43.48 N=84 (%) | 2^-ΔΔCt×100 (PMR) ≥43.48 N=36 (%) | OR Exp(B) | 95% CI | ||
---|---|---|---|---|---|
Progression | |||||
(+) | 24 (28.6) | 20 (55.6) | |||
(-) | 60 (71.4) | 16 (44.4) | 3.125a) | 1.390–7.025a) | 0.006 |
a)OR (95% CI) was adjusted by age and sex..
Abbreviation: PMR, percent methylated reference..
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