| Literature DB >> 32791817 |
Jang Ho Cho1,2, Joon-Ho Shim3,4, Sang Eun Yoon2, Hee-Jin Kim5, Sun-Hee Kim5, Young Hyeh Ko6, Seung-Tae Lee7, Kihyun Kim2, Won Seog Kim2, Seok Jin Kim2,4.
Abstract
BACKGROUND/AIMS: Waldenström macroglobulinemia (WM) is a rare lymphoproliferative disorder that usually follows an indolent clinical course. However, some patients show an aggressive clinical course leading to death. We explored the risk factors predicting poor prognosis in WM patients. <br> METHODS: We retrospectively analyzed 47 patients diagnosed with WM between 2000 and 2018 to explore risk factors predicting poor prognosis using various clinical and laboratory parameters and risk models including the International Prognostic Staging System for WM (IPSS-WM). <br> RESULTS: Over a median follow-up duration of 80.4 months, 29 patients died. The main causes of death were disease progression, organ failure related to amyloidosis, and infection. The median overall survival (OS) was 55.1 months, and 14 patients, including three with amyloidosis, died within 2 years. Serum β2-microglobulin level higher than 4 mg/dL was significantly associated with poor OS. Accordingly, the IPSS-WM showed a significant association with poor prognosis compared with other risk models, and the low-risk group had better OS than intermediate- and high-risk groups. In the retrospective analysis using the results of targeted sequencing in two cases representing good and bad prognosis, different patterns of mutation profiles were observed, including mutations of MYD88, TP53, ARID1A, and JAK2 in a refractory case. <br> CONCLUSION: Serum β2-microglobulin could be a single biomarker strongly predictive of poor survival of WM patients, and the low-risk group of the IPSS-WM risk model including serum β2-microglobulin has better prognostic value than other risk models. Mutation analysis also might provide additional information to predict high-risk patients.Entities:
Keywords: Amyloidosis; Rituximab; Survival; Waldenstrom macroglobulinemia
Mesh:
Substances:
Year: 2020 PMID: 32791817 PMCID: PMC8137404 DOI: 10.3904/kjim.2019.367
Source DB: PubMed Journal: Korean J Intern Med ISSN: 1226-3303 Impact factor: 2.884
Figure 1.(A) Distribution of involved sites. (B) Frequency of clinical presentation.
Figure 2.(A) Overall survival. (B) Comparison of overall survival by response to initial treatment. (C) Survival duration and cause of death in patients who died within 2 years of diagnosis. (D) Survival differences according to high and low serum β2-microglobulin level. CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease; NE, not evaluated.
Clinical features and outcome of patients with presence of amyloid
| Variable | Male/76 yr | Female/76 yr | Male/50 yr |
|---|---|---|---|
| Immunophenotype | IgM/kappa | IgM/lambda | IgM/kappa, lambda |
| Initial symptom | Diarrhea | Chest pain | Diarrhea |
| Paraproteinemia, mg/dL | IgM 1,831 | IgM 2,348 | IgM 5,630 |
| Serum monoclonal protein, g/dL | 0.19 | 1.2 | 3.3 |
| Bone marrow involvement, % | 60 | 70 | 70 |
| Involved organ | Gastrointestinal tract, heart, nerve | Heart, nerve | Gastrointestinal tract, heart, liver, nerve |
| NT-proBNP, pg/mL | 355.8 | 6,001 | 906.4 |
| Troponin T, ng/mL | 0.0027 | 0.084 | 0.014 |
| First-line treatment | Bendamustine, rituximab | Bendamustine, rituximab | Rituximab, cyclophosphamide, dexamethasone |
| Hematologic response | Partial response | Partial response | Partial response |
| Organ response | None | None | None |
| Overall survival, mon | 0.8 | 4.5 | 5.3 |
| Survival | Dead | Dead | Dead |
| Cause of death | Sepsis and heart failure | Heart failure | Sepsis |
IgM, immunoglobulin M; NT-proBNP, natriuretic peptide pro-brain natriuretic peptide.
Characteristics of patients at diagnosis
| Characteristic | All patients (n = 47) | Alive (n = 18) | Death (n = 29) | |
|---|---|---|---|---|
| Sex | 0.108 | |||
| Male | 33 (70) | 10 (30) | 23 (70) | |
| Female | 14 (30) | 8 (57) | 6 (43) | |
| Age, yr | 0.229 | |||
| ≤ 65 | 18 (38) | 9 (50) | 9 (50) | |
| > 65 | 29 (62) | 9 (31) | 20 (69) | |
| ECOG PS | 0.692 | |||
| 0/1 | 40 (85) | 16 (40) | 24 (60) | |
| ≥ 2 | 7 (15) | 2 (29) | 5 (71) | |
| Serum LDH | 0.219 | |||
| Normal | 36 (77) | 16 (44) | 20 (56) | |
| Increased | 8 (17) | 2 (25) | 6 (75) | |
| Unknown | 3 (6) | 0 | 3 (100) | |
| Lymphadenopathy | 0.556 | |||
| Absence | 24 (51) | 8 (33) | 16 (67) | |
| Presence | 23 (49) | 10 (44) | 13 (56) | |
| Hepatosplenomegaly | 0.356 | |||
| Absence | 29 (62) | 13 (45) | 16 (55) | |
| Presence | 18 (38) | 5 (28) | 13 (72) | |
| Albumin | 0.122 | |||
| ≥ 3.5 g/dL | 29 (62) | 14 (48) | 15 (52) | |
| < 3.5 g/dL | 18 (38) | 4 (22) | 14 (78) | |
| β2-microglobulin | 0.014 | |||
| ≤ 4 mg/dL | 28 (60) | 15 (54) | 13 (46) | |
| > 4 mg/dL | 19 (40) | 3 (16) | 16 (84) | |
| Hemoglobin | 0.226 | |||
| > 10 g/dL | 20 (43) | 10 (50) | 10 (50) | |
| ≤ 10 g/dL | 27 (57) | 8 (30) | 19 (70) | |
| Platelet | 0.449 | |||
| > 100,000/L | 38 (81) | 16 (42) | 22 (58) | |
| ≤ 100,000/L | 9 (19) | 2 (22) | 7 (78) | |
| Albumin | 0.726 | |||
| ≥ 4 g/dL | 11 (23) | 5 (46) | 6 (54) | |
| < 4 g/dL | 36 (77) | 13 (36) | 23 (64) | |
| IgM | 0.111 | |||
| < 4.5 g/dL | 32 (68) | 15 (47) | 17 (53) | |
| ≥ 4.5 g/dL | 15 (32) | 3 (20) | 12 (80) | |
| B symptoms | 0.276 | |||
| Absence | 44 (94) | 18 (41) | 26 (59) | |
| Presence | 3 (6) | 0 | 3 (100) | |
| Amyloidosis | 0.276 | |||
| Unknown | 44 (94) | 18 (41) | 26 (59) | |
| Presence | 3 (6) | 0 | 3 (100) | |
| Bone marrow tumor cell | 0.716 | |||
| < 70% | 38 (81) | 14 (37) | 24 (63) | |
| ≥ 70% | 9 (19) | 4 (44) | 5 (56) | |
| IPSS-WM risk | 0.003 | |||
| Low | 4 (8) | 4 (100) | 0 | |
| Intermediate | 23 (49) | 11 (48) | 12 (52) | |
| High | 20 (43) | 3 (15) | 17 (85) | |
| French group risk | 0.186 | |||
| Low | 6 (13) | 4 (67) | 2 (33) | |
| Intermediate | 16 (34) | 7 (44) | 9 (56) | |
| High | 25 (53) | 7 (28) | 18 (72) | |
| Mayo risk | 0.024 | |||
| Low | 4 (16) | 4 (100) | 0 | |
| Intermediate | 5 (9) | 1 (20) | 4 (80) | |
| High | 38 (75) | 13 (34) | 25 (66) | |
| SWOG risk | 0.138 | |||
| Low | 7 (15) | 5 (71) | 2 (29) | |
| Medium | 26 (55) | 9 (35) | 17 (65) | |
| High | 14 (30) | 4 (29) | 10 (71) | |
| Treatment | 0.065 | |||
| BR | 10 (21) | 7 (70) | 3 (30) | |
| R-CTx | 9 (19) | 3 (33) | 6 (67) | |
| CTx | 28 (60) | 8 (28) | 20 (71) |
Values are presented as number (%).
ECOG, Eastern Cooperative Oncology Group; PS, performance status; LDH, lactate dehydrogenase; IgM, immunoglobulin M; IPSS-WM, International Prognostic Staging System for Waldenström macroglobulinemia; SWOG, Southwest Oncology Group; BR, bendamustine, rituximab; R-CTx, rituximab-chemotherapy; CTx, chemotherapy.
Figure 3.(A) Survival comparison by the International Prognostic Staging System for Waldenström macroglobulinemia (IPSS-WM), (B) French group model, (C) Mayo model, and (D) Southwest Oncology Group (SWOG) model. IgM, immunoglobulin M.
Figure 4.(A) Heatmap illustrating genetic alterations detected in the two representative cases. Mutations in MYD88, TP53, ARID1A, and JAK2 were identified in the early death case (male/68 yr). (B) Signaling pathway related to MYD88, TP53, and ARID1A. TLR, Toll-like receptor; MYD88, myeloid differentiation primary response 88; IRAK, interleukin-1 receptor (IL-1R) associated kinase; TRAF6, tumor necrosis factor receptor associated factor 6; TAK1, transforming growth factor-β-activated kinase 1; JAK1, Janus kinase 1; STAT3, signal transducer and activator of transcription 3; NF-κB, nuclear factor-kappa B; BTK, Bruton tyrosine kinase; TP53, tumor protein 53; ARIDIA, AT-rich interactive domain-containing protein 1A; AMP, amplification; DEL, deletion; TRUNC, truncated mutation; NONTRUNC, non-truncated mutation.