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Erschienen in: Wiener Medizinische Wochenschrift 1-2/2023

Open Access 28.11.2022 | main topic

Significance of C-reactive protein in patients with chronic myelomonocytic leukemia

verfasst von: Jian Liang-Fonseca, Univ. Prof. Dr. Klaus Geissler

Erschienen in: Wiener Medizinische Wochenschrift | Ausgabe 1-2/2023

Summary

In a retrospective study, we analyzed the prevalence of elevated C‑reactive protein (CRP) serum levels in 148 patients with chronic myelomonocytic leukemia (CMML), their potential prognostic impact, and potential correlations with laboratory features. Normal, up to 10-fold, and more than 10-fold elevated CRP levels were found in 18%, 59%, and 23% of CMML patients, respectively. Using the CRP cutoff value of 10 mg/L of the widely used Glasgow score, high CRP values were associated with inferior survival (13 vs. 39 months, p = 0.014), which retained prognostic significance in multivariate analysis. High CRP values were associated with lower hemoglobin levels. The survival difference between patients with normal (< 5 mg/L) and elevated CRP levels persisted after exclusion of patients with clinical infection. These findings indicate that in CMML patients, the presence of an acute-phase reaction is associated with a poor outcome, independent of clinical infection.
Hinweise

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Introduction

Chronic myelomonocytic leukemia (CMML) is a rare, genotypically and phenotypically heterogenous hematologic malignancy of elderly people, with an intrinsic risk of progression and transformation into secondary acute myeloid leukemia (AML). With regard to the presence of myeloproliferation, CMML was originally subdivided into myeloproliferative disorder (MP-CMML; white blood cell [WBC] count > 13 × 109/L) versus myelodysplastic syndrome (MD-CMML; WBC count ≤ 13 × 109/L MD-CMML) by the FAB criteria [1, 2]. Since CMML is characterized by features of both MDS and MPN, the World Health Organization (WHO) classification of 2002 assigned CMML to the mixed category, MDS/MPN [3]. CMML is further subclassified by WHO into three groups based on blast equivalents (blasts plus promonocytes) in peripheral blood (PB) and bone marrow (BM) as follows: CMML‑0 if PB < 2% and BM < 5% blast equivalents; CMML‑1 if PB 2–4% or BM 5–9% blast equivalents; and CMML‑2 if PB 5–19% or BM 10–19% blast equivalents, and/or Auer rods are present [4]. CMML patients have a highly variable outcome, suggesting that several factors can determine the course of disease and the causes of death in these patients [59]. There are a number of established prognostic parameters that have been incorporated into several prognostic models [1021].
The acute-phase response (APR) is an immediately initiated systemic reaction of the organism to local or systemic disturbances in homeostasis caused by infection, tissue injury, trauma or surgery, neoplastic growth, or immunological disorders [22]. CRP is the most commonly used acute-phase parameter in clinical medicine. The clinical and/or pathophysiological significance of CRP levels in CMML is poorly investigated. Using the database of the Austrian Biodatabase for Chronic Myelomonocytic Leukemia (ABCMML), we analyzed 148 CMML patients with available information on CRP values [23]. This information from a real-life database could be useful in the management of these patients.

Patients and methods

Patients

Recently, we have shown that ABCMML may be used as a representative and useful real-life data source for biomedical research [23]. In this database, we retrospectively collected epidemiologic, hematologic, biochemical, clinical, immunophenotypic, cytogenetic, molecular, and biologic data of patients with CMML from different centers. The diagnosis of CMML and leukemic transformation were according to the WHO criteria [24]. Clinical and laboratory routine parameters were obtained from patient records. A detailed central manual retrospective chart review was carried out to ensure data quality before analysis of data from institutions. Due to the fact that CMML may be considered as an evolutionary process, from clonal hematopoiesis of indeterminate potential (CHIP) to CMML-related AML [24], and the fact that the distinction between mature and immature monocytic cells, which is required to determine the time of transformation into AML, is notoriously difficult due to the lack of reliable immunophenotypic markers, we found it more appropriate not to exclude the CMML patients with transformation from our analysis [25].
In 148 CMML patients collected between 01.01.1990 and 31.03.2019, information was available regarding CRP values. This research was approved by the ethics committee of the City of Vienna on 10 June 2015 (ethic code: 15-059-VK).

Statistical analysis

The log-rank test was used to determine whether individual parameters were associated with overall survival (OS). OS was defined as the time from sampling to death (uncensored) or last follow-up (censored). A multivariate Cox regression analysis of overall survival was used to describe the relationship between the event incidence, as expressed by the hazard function, and a set of covariates. Dichotomous variables were compared between different groups using the chi-square test. The Mann–Whitney U test was used to compare two unmatched groups when continuous variables were nonnormally distributed. Results were considered significant at p < 0.05. Statistical analyses were performed with SPSS v. 27 (IBM Corp., Armonk, NY, USA); the reported p-values are two-sided. A cutoff level of 10 mg/L was taken for CRP, since this value is part of the widely used Glasgow score [26].

Results

Patient characteristics

The baseline characteristics of the 148 patients with CMML included in this study are shown in Table 1. In order to make comparisons with other published CMML cohorts possible, the percentages of patients regarding established prognostic parameters are given. As seen in other CMML series, there was a male predominance among study patients and more than half of patients were aged 70 years or older [17]. The proportion of patients with leukocytosis > 13 G/L, anemia < 10 g/dL, thrombocytopenia < 100 G/L, and the presence of blast cells in peripheral blood (PB) was also comparable to other cohorts [17]. Five patients in this cohort had already transformed into CMML-related AML at time of study inclusion.
Table 1
Characteristics of chronic myelomonocytic leukemia patients
 
Cases (N = 148)
Percent
Age
Evaluable = 148
< 70 years
46
31
≥ 70 years
102
69
Sex
Evaluable = 148
Male
97
66
Female
51
34
Leukocytes
Evaluable = 148
> 13 G/L
76
51
≤ 13 G/L
72
49
Hemoglobin
Evaluable = 148
< 10 g/dL
42
32
≥ 10 g/dL
106
68
Platelets
Evaluable = 148
< 100 G/L
74
50
≥ 100 G/L
74
40
Peripheral blood blasts
Evaluable = 126
Absent
86
68
Present
40
32

Prevalence of CRP abnormalities in CMML

Normal CRP levels (< 5 mg/L) were found in 27/148 (18%) patients, while 87/148 (59%) patients had a CRP level up to 10-fold higher than the standard (5–50 mg/L), and more than 10-fold elevated CRP levels (> 50 mg/L) appeared in 34/148 (23%) patients with CMML. Taking the CRP cutoff value of 10 mg/L of the widely used Glasgow score, 61/148 (41%) CMML patients had CRP values below, and 87/148 (59%) patients above this level.

Correlation of increased CRP with laboratory phenotype

As shown in Table 2, CMML patients with CRP values ≥ 10 mg/L had significantly decreased Hb values as compared to CMML patients with CRP levels below this value, whereas other disease features such as leukocyte counts, platelet counts, and circulating blasts were not different.
Table 2
Laboratory features stratified by the presence or absence of CRP values ≥ 10 mg/L
 
All patients
(N = 148)
CRP ≥ 10
(n = 87)
CRP < 10
(n = 61)
P-value
Age in years; median (range)
Evaluable = 148
75 (36–92)
75 (36–92)
75 (55–90)
0.538
Sex (male); n (%)
Evaluable = 148
97 (66%)
52 (60%)
45 (74%)
0.083
Leukocytes G/L; median (range)
Evaluable = 148
13.1 (3.0–200)
15.4 (3.0–200)
10.8 (3.1–152)
0.177
Hemoglobin g/dL; median (range)
Evaluable = 148
11.1 (4.3–16.5)
10.5 (4.3–14.8)
12.2 (5.4–16.5)
0.000
Platelets G/L; median (range)
Evaluable = 148
101 (3–718)
102 (5.0–705)
97 (3–718)
0.739
PB blasts %; median (range)
Evaluable = 126
0 (0–79)
0 (0–79)
0 (0–38)
0.491
CRP C-reactive protein, PB peripheral blood

Impact of increased CRP values on survival

The median overall survival (OS) of the three groups (CRP < 5, 5–50, and > 50 mg/L) was 93, 23, and 9 months, respectively (p = 0.014). Using the CRP cutoff value 10 mg/L, differences in median OS were 13 vs. 39 months (Fig. 1; p = 0.014). Established prognostic parameters including leukocytosis > 13 G/L, thrombocytopenia < 100 G/L, and the presence of blast cells in PB had an adverse impact on survival in univariate analysis (Table 3). There was a borderline association with anemia < 10 g/dL. As shown in Table 4, CRP retained its independent association with OS in multivariate analysis in the presence of other adverse prognostic factors such as leukocytosis, thrombocytopenia, and the presence of circulating blasts, indicating an independent prognostic impact of CRP.
Table 3
Univariate analysis of single prognostic parameters in patients with chronic myelomonocytic leukemia
Factors
Factor present
Median OS (months)
Factor absent
Median OS (months)
P-value
(log-rank)
CRP > 10 mg/L
13.0
39.0
0.014
WBC > 13 × G/L
16.0
26.0
0.003
Hb < 10 g/dL
11.0
25.0
0.084
PLT < 100 × G/L
11.0
36.0
0.008
PB Blasts present
10.0
25.0
0.006
The log-rank test was used to determine if individual parameters were associated with OS
CRP C-reactive protein, OS overall survival, WBC white blood cell count, Hb hemoglobin, PLT platelet count, PB peripheral blood
Table 4
Hazard ratios, confidence intervals, and p-values of Cox regression analyses for survival including CRP values ≥ 10 mg/L and prognostic parameters in the univariate analysis
Parameter
Hazard ratio
95% confidence interval
P-value
CRP ≥ 10 mg/L
1.711
1.036–2.826
0.036
WBC ≥ 13 G/L
2.235
1.255–3.981
0.006
PLT < 100 G/L
2.190
1.336–3.589
0.002
PB blasts present
1.575
0.939–2.643
0.085
CRP C-reactive protein, WBC white blood cell count, PLT platelet count, PB peripheral blood

Clinical infections

In 46/148 patients, clinical infections were documented. Grade 1, 2, and 3 infections were documented in 26, 18, and 2 patients, respectively. Patients with CRP values ≥ 10 mg/L more often had infections (36/86, 42%) than patients with values < 10 mg/L (10/61, 16%, p = 0.001). There was a borderline association to reduced survival in patients with clinical infections grade > 1 (12 vs. 23 months; p = 0.087). The significant survival difference between patients with normal and elevated CRP (≥ 5 mg/L) persisted after exclusion of patients with clinical infection (93 vs. 20 months, p = 0.043).

Discussion

Analysis of the acute-phase reaction in CMML may provide some prognostic information which may be useful for patient management but may also give insight into the pathophysiology of disease. CRP has been reported to be a prognostic indicator in a variety of hematologic malignancies [27, 28] and solid tumors [29]. In fact, enhanced CRP is one component of the Glasgow prognostic score, which is a cumulative inflammation-based cancer prognostic marker composed of CRP elevation and a decrease in albumin concentration [26]. In this score, CRP > 10 mg/L and albumin < 35 g/L are used as prognostic factors. Based on this widely used score, we chose 10 mg/L as the cutoff level for CRP in our analysis but did not add albumin, since this value was not regularly available in our real-life cohort. Regarding hematologic diseases, enhanced CRP has been found to have an impact on the clinical outcome in MPN including primary and secondary myelofibrosis, essential thrombocythemia, and polycythemia vera. In a study by Lucijanic et al., higher values of the CRP/albumin ratio (CAR) were able to predict inferior survival in PMF independently of DIPSS (hazard ratio [HR] = 2.17; p = 0.015 for high CAR and HR = 2.05; p < 0.001 for DIPSS), thus demonstrating its good prognostic potential [28]. In another study by Barbui, a significantly different leukemia-free survival according to hs-CRP levels was documented by Kaplan–Meier analysis [27]. In our study, we could show that CRP is also a prognostic parameter in patients with CMML. The significant survival difference between groups persisted after exclusion of patients with clinical infection. These findings indicate that the presence of an acute-phase reaction is associated with poor outcome, independent of clinical infection.
Recently, inflammation has been demonstrated to act as a major driver in the progression of myeloid malignancies [30]. Regarding BCR/ABL-negative MPN, it has been shown that JAK2 signaling in these diseases leads to chromatin changes that promote NF-κB-induced inflammation and bone marrow fibrosis in MPN models. Most importantly, combined JAK/BET inhibition resulted in a marked reduction in serum levels of inflammatory cytokines, reduced disease burden, and reversed bone marrow fibrosis in vivo. In another preclinical model, a functional link between molecular aberrations and activation of the inflammasome was reported [31]. In this mouse model, Kras-driven myeloproliferation was reversed by functional inactivation of NLRP1, a major component of the inflammasome. A similar phenotypic improvement was seen with therapeutic IL‑1 receptor blockade. Since in our study CRP elevation was also an adverse factor for survival in CMML patients without infection, one is tempted to speculate that inflammation per se may promote progression of this disease. By comparing laboratory parameters of patients with and without CRP elevation, we can see lower hemoglobin values in the high-CRP group, compatible with an inflammatory state in these patients.
We are aware of the limitations of our study. For example, most of the information used in this study was derived from retrospective real-world data that were not collected systematically or prospectively. Thus, not every parameter was available in all patients. In addition, data from patient records were obtained over many years and from many different centers. Moreover, the patients included in this study represented a relatively heterogenous population regarding the blast cell counts. However, real-world data have recently been recognized as an important way to get insights into routine management and the natural history of rare diseases [32]. CMML is a rare disease and adequate patient numbers for a systematic and prospective study are not easy to collect within a limited timeframe. Moreover, the ABCMML provides information derived from molecular as well as from functional studies, and therefore allows a more comprehensive view and deeper insight into the complex pathophysiology of this hematologic malignancy [23].

Funding

This study was supported by the Gesellschaft zur Erforschung der Biologie und Therapie von Tumorkrankheiten—ABCMML-112015.

Conflict of interest

J. Liang-Fonseca and K. Geissler declare that they have no competing interests.
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Literatur
1.
Zurück zum Zitat Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the myelodysplastic syndromes. Br J Haematol. 1982;51(2):189–99.CrossRef Bennett JM, Catovsky D, Daniel MT, et al. Proposals for the classification of the myelodysplastic syndromes. Br J Haematol. 1982;51(2):189–99.CrossRef
2.
Zurück zum Zitat Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002;100(7):2292–302.CrossRef Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002;100(7):2292–302.CrossRef
3.
Zurück zum Zitat Vardiman JW, Thiele J, Arber DA, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114(5):937–51.CrossRef Vardiman JW, Thiele J, Arber DA, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114(5):937–51.CrossRef
4.
Zurück zum Zitat Arber DA, Orazi A, Hasserjian R, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127(20):2391–405.CrossRef Arber DA, Orazi A, Hasserjian R, et al. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood. 2016;127(20):2391–405.CrossRef
5.
Zurück zum Zitat Onida F, Kantarjian HM, Smith TL, et al. Prognostic factors and scoring systems in chronic myelomonocytic leukemia: a retrospective analysis of 213 patients. Blood. 2002;99(3):840–9.CrossRef Onida F, Kantarjian HM, Smith TL, et al. Prognostic factors and scoring systems in chronic myelomonocytic leukemia: a retrospective analysis of 213 patients. Blood. 2002;99(3):840–9.CrossRef
6.
Zurück zum Zitat Patnaik MM, Padron E, LaBorde RR, et al. Mayo prognostic model for WHO-defined chronic myelomonocytic leukemia: ASXL1 and spliceosome component mutations and outcomes. Leukemia. 2013;27(7):1504–10.CrossRef Patnaik MM, Padron E, LaBorde RR, et al. Mayo prognostic model for WHO-defined chronic myelomonocytic leukemia: ASXL1 and spliceosome component mutations and outcomes. Leukemia. 2013;27(7):1504–10.CrossRef
7.
Zurück zum Zitat Itzykson R, Kosmider O, Renneville A, et al. Prognostic score including gene mutations in chronic myelomonocytic leukemia. J Clin Oncol. 2013;31(19):2428–36.CrossRef Itzykson R, Kosmider O, Renneville A, et al. Prognostic score including gene mutations in chronic myelomonocytic leukemia. J Clin Oncol. 2013;31(19):2428–36.CrossRef
8.
Zurück zum Zitat Elena C, Gallì A, Such E, et al. Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia. Blood. 2016;128(10):1408–17.CrossRef Elena C, Gallì A, Such E, et al. Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia. Blood. 2016;128(10):1408–17.CrossRef
9.
Zurück zum Zitat Machherndl-Spandl S, Jäger E, Barna A, et al. Impact of age on the cumulative risk of transformation in patients with chronic myelomonocytic leukaemia. Eur J Haematol. 2021;107(2):265–74.CrossRef Machherndl-Spandl S, Jäger E, Barna A, et al. Impact of age on the cumulative risk of transformation in patients with chronic myelomonocytic leukaemia. Eur J Haematol. 2021;107(2):265–74.CrossRef
10.
Zurück zum Zitat Fenaux P, Beuscart R, Lai JL, et al. Prognostic factors in adult chronic myelomonocytic leukemia: an analysis of 107 cases. J Clin Oncol. 1988;6(9):1417–24.CrossRef Fenaux P, Beuscart R, Lai JL, et al. Prognostic factors in adult chronic myelomonocytic leukemia: an analysis of 107 cases. J Clin Oncol. 1988;6(9):1417–24.CrossRef
11.
Zurück zum Zitat Germing U, Strupp C, Aivado M, et al. New prognostic parameters for chronic myelomonocytic leukemia. Blood. 2002;100(2):731–2. author reply 732–733.CrossRef Germing U, Strupp C, Aivado M, et al. New prognostic parameters for chronic myelomonocytic leukemia. Blood. 2002;100(2):731–2. author reply 732–733.CrossRef
12.
Zurück zum Zitat Storniolo AM, Moloney WC, Rosenthal DS, et al. Chronic myelomonocytic leukemia. Leukemia. 1990;4(11):766–70. Storniolo AM, Moloney WC, Rosenthal DS, et al. Chronic myelomonocytic leukemia. Leukemia. 1990;4(11):766–70.
13.
Zurück zum Zitat Schuler E, Schroeder M, Neukirchen J, et al. Refined medullary blast and white blood cell count based classification of chronic myelomonocytic leukemias. Leuk Res. 2014;38(12):1413–9.CrossRef Schuler E, Schroeder M, Neukirchen J, et al. Refined medullary blast and white blood cell count based classification of chronic myelomonocytic leukemias. Leuk Res. 2014;38(12):1413–9.CrossRef
14.
Zurück zum Zitat Tefferi A, Hoagland HC, Therneau TM, et al. Chronic myelomonocytic leukemia: natural history and prognostic determinants. Mayo Clin Proc. 1989;64(10):1246–54.CrossRef Tefferi A, Hoagland HC, Therneau TM, et al. Chronic myelomonocytic leukemia: natural history and prognostic determinants. Mayo Clin Proc. 1989;64(10):1246–54.CrossRef
15.
Zurück zum Zitat Worsley A, Oscier DG, Stevens J, et al. Prognostic features of chronic myelomonocytic leukaemia: a modified Bournemouth score gives the best prediction of survival. Br J Haematol. 1988;68(1):17–21.CrossRef Worsley A, Oscier DG, Stevens J, et al. Prognostic features of chronic myelomonocytic leukaemia: a modified Bournemouth score gives the best prediction of survival. Br J Haematol. 1988;68(1):17–21.CrossRef
16.
Zurück zum Zitat Such E, Cervera J, Costa D, et al. Cytogenetic risk stratification in chronic myelomonocytic leukemia. Haematologica. 2011;96(3):375–83.CrossRef Such E, Cervera J, Costa D, et al. Cytogenetic risk stratification in chronic myelomonocytic leukemia. Haematologica. 2011;96(3):375–83.CrossRef
17.
Zurück zum Zitat Such E, Germing U, Malcovati L, et al. Development and validation of a prognostic scoring system for patients with chronic myelomonocytic leukemia. Blood. 2013;121(15):3005–15.CrossRef Such E, Germing U, Malcovati L, et al. Development and validation of a prognostic scoring system for patients with chronic myelomonocytic leukemia. Blood. 2013;121(15):3005–15.CrossRef
18.
Zurück zum Zitat Wassie EA, Itzykson R, Lasho TL, et al. Molecular and prognostic correlates of cytogenetic abnormalities in chronic myelomonocytic leukemia: a Mayo Clinic-French Consortium Study. Am J Hematol. 2014;89(12):1111–5.CrossRef Wassie EA, Itzykson R, Lasho TL, et al. Molecular and prognostic correlates of cytogenetic abnormalities in chronic myelomonocytic leukemia: a Mayo Clinic-French Consortium Study. Am J Hematol. 2014;89(12):1111–5.CrossRef
19.
Zurück zum Zitat Itzykson R, Fenaux P, Bowen D, et al. Diagnosis and treatment of chronic myelomonocytic leukemias in adults: recommendations from the European hematology association and the European leukemianet. Hemasphere. 2018;2(6):e150.CrossRef Itzykson R, Fenaux P, Bowen D, et al. Diagnosis and treatment of chronic myelomonocytic leukemias in adults: recommendations from the European hematology association and the European leukemianet. Hemasphere. 2018;2(6):e150.CrossRef
20.
Zurück zum Zitat Patnaik MM, Itzykson R, Lasho TL, et al. ASXL1 and SETBP1 mutations and their prognostic contribution in chronic myelomonocytic leukemia: a two-center study of 466 patients. Leukemia. 2014;28(11):2206–12.CrossRef Patnaik MM, Itzykson R, Lasho TL, et al. ASXL1 and SETBP1 mutations and their prognostic contribution in chronic myelomonocytic leukemia: a two-center study of 466 patients. Leukemia. 2014;28(11):2206–12.CrossRef
21.
Zurück zum Zitat Padron E, Garcia-Manero G, Patnaik MM, et al. An international data set for CMML validates prognostic scoring systems and demonstrates a need for novel prognostication strategies. Blood Cancer J. 2015;5(7):e333.CrossRef Padron E, Garcia-Manero G, Patnaik MM, et al. An international data set for CMML validates prognostic scoring systems and demonstrates a need for novel prognostication strategies. Blood Cancer J. 2015;5(7):e333.CrossRef
22.
Zurück zum Zitat Gewurz H, Mold C, Siegel J, et al. C‑reactive protein and the acute phase response. Adv Intern Med. 1982;27:345–72. Gewurz H, Mold C, Siegel J, et al. C‑reactive protein and the acute phase response. Adv Intern Med. 1982;27:345–72.
23.
Zurück zum Zitat Geissler K, Jäger E, Barna A, et al. The Austrian biodatabase for chronic myelomonocytic leukemia (ABCMML): a representative and useful real-life data source for further biomedical research. Wien Klin Wochenschr. 2019;131(17–18):410–8.CrossRef Geissler K, Jäger E, Barna A, et al. The Austrian biodatabase for chronic myelomonocytic leukemia (ABCMML): a representative and useful real-life data source for further biomedical research. Wien Klin Wochenschr. 2019;131(17–18):410–8.CrossRef
24.
Zurück zum Zitat Itzykson R, Solary E. An evolutionary perspective on chronic myelomonocytic leukemia. Leukemia. 2013;27(7):1441–50.CrossRef Itzykson R, Solary E. An evolutionary perspective on chronic myelomonocytic leukemia. Leukemia. 2013;27(7):1441–50.CrossRef
25.
Zurück zum Zitat Foucar K, Hsi ED, Wang SA, et al. Concordance among hematopathologists in classifying blasts plus promonocytes: a bone marrow pathology group study. Int J Lab Hem. 2020;42(4):418–22.CrossRef Foucar K, Hsi ED, Wang SA, et al. Concordance among hematopathologists in classifying blasts plus promonocytes: a bone marrow pathology group study. Int J Lab Hem. 2020;42(4):418–22.CrossRef
26.
Zurück zum Zitat Proctor MJ, Morrison DS, Talwar D, et al. An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: a Glasgow Inflammation Outcome Study. Br J Cancer. 2011;104(4):726–34.CrossRef Proctor MJ, Morrison DS, Talwar D, et al. An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: a Glasgow Inflammation Outcome Study. Br J Cancer. 2011;104(4):726–34.CrossRef
27.
Zurück zum Zitat Barbui T, Carobbio A, Finazzi G, et al. Elevated C‑reactive protein is associated with shortened leukemia-free survival in patients with myelofibrosis. Leukemia. 2013;27(10):2084–6.CrossRef Barbui T, Carobbio A, Finazzi G, et al. Elevated C‑reactive protein is associated with shortened leukemia-free survival in patients with myelofibrosis. Leukemia. 2013;27(10):2084–6.CrossRef
28.
Zurück zum Zitat Lucijanic M, Galusic D, Krecak I, et al. C reactive protein to albumin ratio as prognostic marker in primary and secondary myelofibrosis. Leuk Lymphoma. 2020;61(12):2969–74.CrossRef Lucijanic M, Galusic D, Krecak I, et al. C reactive protein to albumin ratio as prognostic marker in primary and secondary myelofibrosis. Leuk Lymphoma. 2020;61(12):2969–74.CrossRef
29.
Zurück zum Zitat Nozoe T, Matono R, Ijichi H, et al. Glasgow prognostic score (GPS) can be a useful indicator to determine prognosis of patients with colorectal carcinoma. Int Surg. 2014;99(5):512–7.CrossRef Nozoe T, Matono R, Ijichi H, et al. Glasgow prognostic score (GPS) can be a useful indicator to determine prognosis of patients with colorectal carcinoma. Int Surg. 2014;99(5):512–7.CrossRef
30.
Zurück zum Zitat Hasselbalch HC. Perspectives on chronic inflammation in essential thrombocythemia, polycythemia vera, and myelofibrosis: is chronic inflammation a trigger and driver of clonal evolution and development of accelerated atherosclerosis and second cancer? Blood. 2012;119(14):3219–25.CrossRef Hasselbalch HC. Perspectives on chronic inflammation in essential thrombocythemia, polycythemia vera, and myelofibrosis: is chronic inflammation a trigger and driver of clonal evolution and development of accelerated atherosclerosis and second cancer? Blood. 2012;119(14):3219–25.CrossRef
31.
Zurück zum Zitat Hamarsheh S, Osswald L, Saller BS, et al. Oncogenic KrasG12D causes myeloproliferation via NLRP3 inflammasome activation. Nat Commun. 2020;11(1):1659.CrossRef Hamarsheh S, Osswald L, Saller BS, et al. Oncogenic KrasG12D causes myeloproliferation via NLRP3 inflammasome activation. Nat Commun. 2020;11(1):1659.CrossRef
Metadaten
Titel
Significance of C-reactive protein in patients with chronic myelomonocytic leukemia
verfasst von
Jian Liang-Fonseca
Univ. Prof. Dr. Klaus Geissler
Publikationsdatum
28.11.2022
Verlag
Springer Vienna
Erschienen in
Wiener Medizinische Wochenschrift / Ausgabe 1-2/2023
Print ISSN: 0043-5341
Elektronische ISSN: 1563-258X
DOI
https://doi.org/10.1007/s10354-022-00981-8

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