Literature DB >> 33224391

Prognostic Role of Lymphocyte/Monocyte Ratio in Chronic Lymphocytic Leukemia.

Osman Yokus1, Esma Nur Saglam2, Hasan Goze1, Fettah Sametoglu2, Istemi Serin1.   

Abstract

BACKGROUND: Chronic lymphocytic leukemia (CLL) is a B-lymphoproliferative disease with varying clinical characteristics, which occurs mostly in older ages. In studies from literature, we see that different parameters are examined to determine the prognosis of CLL. The main purpose of our study is to determine the relationship of lymphocyte/monocyte ratio (LMR) value in CLL, which has been previously shown to be a prognostic factor in various solid organ tumors and some hematological malignancies.
METHODS: A total of 173 patients who were followed up between 2005 and 2019 were retrospectively analyzed. The diagnostic age, gender, laboratory, absolute lymphocyte and monocyte count, LMR and overall survival (OS), treatment and responses, recurrence, cytogenetic subtype and mortality rates were examined.
RESULTS: The median LMR was 26.7 and it was considered as cut-off value of 26. A positive correlation was found between LMR and Rai Stage. LMR was significantly higher in patients who have an indication for treatment or who died.
CONCLUSIONS: In our study, in CLL, LMR has been shown to be over 26 in advanced stages, in relapse or with indication of a treatment. With the increase of LMR, it was found that survival and disease-free gap decreased. Copyright 2020, Yokus et al.

Entities:  

Keywords:  Chronic lymphocytic leukemia; Lymphocyte/monocyte ratio; Overall survival; Prognosis; Progression-free survival

Year:  2020        PMID: 33224391      PMCID: PMC7665864          DOI: 10.14740/jh730

Source DB:  PubMed          Journal:  J Hematol        ISSN: 1927-1212


Introduction

Chronic lymphocytic leukemia (CLL) is a lymphoproliferative malignancy characterized by monoclonal proliferation of mature CD5 (+) B lymphocytes in peripheral blood, bone marrow, lymph node or spleen. CLL is a type of leukemia that is common in Western societies, especially in the ages of 60 - 70. It has the highest genetic predisposition in neoplasias [1-4]. Most of the patients are asymptomatic at the time of diagnosis; absolute lymphocytosis (5,000/mm3 and above) or painless lymphadenopathies are detected, and definitive diagnosis is made by advanced examination methods such as flow cytometry. Staging is done with two similar clinical staging systems called Rai and Binet; however, these are inadequate in predicting prognosis [5-7]. Although many factors such as high expression of CD38, CD49, CD305 and ZAP-70 in flow cytometry are used as poor prognostic factors, lactate dehydrogenase (LDH) and β2-microglobulin elevation are frequently used in clinical practice [8]. In addition, another factor associated with poor prognosis is the detection of 17p deletion by cytogenetic analysis [9, 10]. The P53 mutation was detected in 4-37% of CLL patients and has been associated also with poor prognosis [11, 12]. These cases have an aggressive clinical course and should be evaluated early in terms of allogeneic stem cell transplantation or initiation of new treatment agents [13, 14]. The lymphocyte/monocyte ratio (LMR), calculated by the ratio of lymphocyte count to monocyte count, is an inflammatory biomarker and indicates the balance between the host immune system and tumor microenvironment. LMR is obtained by using initial absolute lymphocyte count (ALC) and absolute monocyte count (AMC). It is also an easy method for detection, which provides prognostic information in malignancies. The contribution of LMR to stage and prognosis is unknown in CLL. With this study, it was aimed to determine the LMR cut-off value in CLL and to show whether the detected LMR value is related to some prognosis indicators such as disease stage and cytogenetic anomalies.

Materials and Methods

The study was conducted in patients diagnosed with CLL according to the International Workshop on Chronic Lymphocytic Leukemia (IWCLL) criteria, between 2005 and 2019 by our hospital’s hematology clinic, whose follow-up and treatment are still ongoing. The data were obtained by scanning the hospital electronic information system and patient files. Demographic, clinical, and laboratory values/data, presence of chronic disease or malignancy, basal complete blood count, ALC and AMC were recorded. The ALC and AMC of the patients before the initiation of treatment were recorded and included in the study. Diagnosis values of all patients were in accordance with the World Health Organization (WHO) CLL diagnostic criteria. Staging the patients was done according to Rai and Binet Staging Systems and risk groups were determined. The diagnosis was confirmed by flow cytometry (immunophenotyping) analysis for all patients; according to the results of cytogenetic examination (chromosome analysis and fluorescence in situ hybridization (FISH) analysis) in some patients, the cases were divided into risk groups as low, medium and high. In addition, as the clinic approach, patients were grouped based on the therapeutic indication. The number and responses of the patients who received more than one treatment were classified and recorded as complete remission (CR), partial remission (PR) and progressive disease (PD) according to IWCLL criteria.

Statistical method

Average, standard deviation, median lowest and highest, frequency and ratio values were used in the descriptive statistics of the data. The distribution of variables was measured by the Kolmogorov-Smirnov test. Kruskal-Wallis and Mann-Whitney U tests were used in the analysis of quantitative independent data. Spearman correlation analysis was used in the correlation analysis. Kaplan-Meier (log-rank) method was used in survival analysis. SPSS 22.0 program was used in the analysis. P < 0.05 was considered statistically significant.

Ethics approval

Our study was approved by the ethics committee of our hospital on February 15, 2019 with the decision number 1706.

Results

One hundred and seventy-three patients were included in the study; 63% were male and 37% were female. The male/female ratio was calculated as 1.7/1. The median age of the patients was 66 (range: 35 - 85). A total of 46% of the patients were diagnosed at the age of 65 and before. Percentage distribution of patients according to Rai and Binet Staging is shown in Table 1. When the risk groups were examined according to the modified Rai Staging of the patients; 25.4% were considered as low-risk, 48.6% as intermediate- and 26% as high-risk groups. The patients were divided into two groups as those received the treatment (chemotherapy) (42.2%) and those who did not (57.8%). The patients who received treatment were classified according to the number of treatment steps they received. Accordingly, 76.7% of the patients received one- or two-line treatments, while 23.3% received three or more treatments. Among the patients receiving treatment, the ratio of those who gave a CR to the treatment was 57.8%, while the ratio of those who gave a CR to the first treatment was 28.8%. The rate of progression among all patients (with or without treatment) was 25.4% (Table 1).
Table 1

Demographic and Clinical Features of Patients (Laboratory and Genetic Results)

RangeMedianMean ± SD or %
Age35 - 856665.5 ± 10.3
Gender
  Male10963.0%
  Female6437.0%
WBC × 109/L3.93 - 315.027.646.4 ± 54.1
ALC × 109/L1.5 - 282.121.5437.9 ± 49.0
AMC × 109/L0.01 - 19.00.791.5 ± 2.4
LMR0.66 - 2,464.526.7121.5 ± 344.5
Rai Stage
  04425.4%
  I5230.1%
  II3218.5%
  III2816.2%
  IV179.8%
Binet Stage
  A10057.8%
  B5330.6%
  C2011.6%
Cytogenetic analysisa
  (+)12371.1%
  (-)5028.9%
Del13q14
  (-)6864.8%
  (+)3735.2%
Del11q
  (-)9088.2%
  (+)1211.8%
Del17p
  (-)10890.8%
  (+)119.2%
Trisomy 12
  (-)7880.4%
  (+)1919.6%
Follow-up period (month)0.03 - 166.235.5039.12 ± 30.9
Treatment
  (-)10057.8%
  (+)7342.2%
Response to first-line treatment
  (-)2128.8%
  (+)5271.2%
Lines of treatment
  1 or 25676.7%
  ≥ 31723.3%
Progression
  (-)12974.6%
  (+)4425.4%
Last situation
  Alive14684.4%
  Death2715.6%

Demographic data such as age and gender, basal leukocyte, absolute lymphocyte and absolute monocyte counts; Rai and Binet Stages; cytogenetic examination (chromosome analysis and FISH analysis) results, follow-up period and treatment results were seen in Table 1. aCytogenetic results of all patients at initial diagnosis could not be reached. SD: standard deviation; FISH: fluorescence in situ hybridization; WBC: white blood cell; LMR: lymphocyte/monocyte ratio; ALC: absolute lymphocyte count; AMC: absolute monocyte count.

Demographic data such as age and gender, basal leukocyte, absolute lymphocyte and absolute monocyte counts; Rai and Binet Stages; cytogenetic examination (chromosome analysis and FISH analysis) results, follow-up period and treatment results were seen in Table 1. aCytogenetic results of all patients at initial diagnosis could not be reached. SD: standard deviation; FISH: fluorescence in situ hybridization; WBC: white blood cell; LMR: lymphocyte/monocyte ratio; ALC: absolute lymphocyte count; AMC: absolute monocyte count. The median peripheral blood absolute leukocyte count of the patients included in the study was 27,600/mm3 (3,930 - 315,000/mm3). The median ALC was 21,540/mm3 (1,500 - 282,000/mm3), and the median AMC was 790/mm3 (10 - 19,000/mm3). The median value of LMR was 26.7 (0.66 - 2,466.5) and the cut-off value of our study was determined as 26 (Table 1). In 71.1% of our patients, cytogenetic analysis was performed with the FISH method and the results obtained are indicated in Table 1. Patients were followed for a median of 35.5 months (0.03 - 166.2); in this process, 27 (26%) of patients died.

Relationship of LMR with clinical and laboratory findings

In our study, the median cut-off value of LMR was 26, while LMR was ≤ 26 in 86 patients, and LMR > 26 in 87 patients. When patient groups were compared by gender, the LMR value did not differ significantly between men and women (P > 0.05). As a result of correlation analysis, no significant (P > 0.05) correlation was observed between LMR and age, whereas a significant positive correlation was observed between leukocyte and lymphocyte counts (P < 0.05). A significant (P < 0.05) negative correlation was observed between the LMR and the number of monocytes. A significant (P < 0.05) correlation was also observed between LMR and Rai Stages (Table 2). When the relationship between LMR and Rai Stages was examined, it was seen that LMR increased significantly as the Rai Stage increased (P < 0.05) (Table 3, Fig. 1).
Table 2

LMR-Age and LMR-Monocyte Correlations

AgeWBCLymphocyteMonocyteRai Stage
LMR, R0.0300.4740.525-0.4380.312
LMR, P0.6940.0000.0000.0000.000

As a result of correlation analysis (Spearman correlation), no significant correlation was observed between LMR and age, whereas a significant positive correlation was observed between leukocyte and lymphocyte counts. A significant negative correlation was observed between the LMR and the number of monocytes. A significant correlation was also observed between LMR and Rai Stages. WBC: white blood cell; LMR: lymphocyte/monocyte ratio.

Table 3

Relationship Between LMR and Rai or Binet Stages

LMR
P
Min - maxMedianMean ± SD
Raia
  04.9 - 950.022.648.3 ± 141.30.000c
  I0.7 - 734.015.963.3 ± 125.3
  II1.4 - 567.929.762.2 ± 101.6
  III5.4 - 2,464.532.7325.8 ± 707.3
  IV10.9 - 1,519.373.1264.3 ± 424.2
  A0.7 - 950.024.457.7 ± 130.0
Binetb
  B1.4 - 2,326.031.0161.4 ± 404.4
  C10.9 - 2,464.541.1334.7 ± 681.70.008

aWhen the relationship between LMR and Rai Stages was examined, it was seen that LMR increased significantly as the Rai Stage increased; bWhen the relationship between LMR and Binet Stages is examined, the median LMR was 24.4 in stage A, 31 in stage B and 41.1 in stage C; in Binet Stage C, LMR was seen to be significantly higher than that in stage A (P < 0.05); in Binet Stage B, LMR was not significantly different from stages A and C; cKruskal-Wallis (Mann-Whitney U test). LMR: lymphocyte/monocyte ratio; SD: standard deviation.

Figure 1

Relationship between LMR and Rai Stages. LMR: lymphocyte/monocyte ratio.

As a result of correlation analysis (Spearman correlation), no significant correlation was observed between LMR and age, whereas a significant positive correlation was observed between leukocyte and lymphocyte counts. A significant negative correlation was observed between the LMR and the number of monocytes. A significant correlation was also observed between LMR and Rai Stages. WBC: white blood cell; LMR: lymphocyte/monocyte ratio. aWhen the relationship between LMR and Rai Stages was examined, it was seen that LMR increased significantly as the Rai Stage increased; bWhen the relationship between LMR and Binet Stages is examined, the median LMR was 24.4 in stage A, 31 in stage B and 41.1 in stage C; in Binet Stage C, LMR was seen to be significantly higher than that in stage A (P < 0.05); in Binet Stage B, LMR was not significantly different from stages A and C; cKruskal-Wallis (Mann-Whitney U test). LMR: lymphocyte/monocyte ratio; SD: standard deviation. Relationship between LMR and Rai Stages. LMR: lymphocyte/monocyte ratio. When the relationship between LMR and Binet Stages is examined, the median LMR was 24.4 in stage A, 31 in stage B and 41.1 in stage C. In Binet Stage C, LMR was seen to be significantly higher than stage A (P < 0.05). In Binet Stage B, LMR was not significantly different from stages A and C (P > 0.05) (Table 3).

Treatment response relationship with LMR

Generally, when all patient groups were evaluated, the LMR value in the treatment indicated that patient group was significantly higher than that in the non-treated group (P < 0.05). During follow-up, at any time, the group with disease progression had a significantly higher LMR value than the group without progression (P < 0.05) (receiver operating characteristic (ROC) analysis: area under the curve (AUC): 0.749, specificity 83%, sensitivity 79.2%). In addition, the LMR value was significantly higher in patients who died than others (P < 0.05) (ROC analysis: AUC: 0.786, specificity 76%, sensitivity 76.3 %) (Table 4).
Table 4

Relationship of LMR With Progression

LMR
P
Min - maxMedianMean ± SD
Progression
  (-)0.7 - 2,464.524.6102.1 ± 321.40.022a
  (+)1.4 - 2,326.043.2178.3 ± 403.3
Last situation
  Alive0.7 - 2,464.525.0110.1 ± 320.80.049a
  Death2.4 - 2,326.057.4183.2 ± 454.1

During follow-up, at any time, the group with disease progression had a significantly higher LMR value than the group without progression. In addition, the LMR value was significantly higher in patients who died than others. aMann-Whitney U test. LMR: lymphocyte/monocyte ratio; SD: standard deviation.

During follow-up, at any time, the group with disease progression had a significantly higher LMR value than the group without progression. In addition, the LMR value was significantly higher in patients who died than others. aMann-Whitney U test. LMR: lymphocyte/monocyte ratio; SD: standard deviation.

LMR and survival or progression-free survival (PFS) relationship

When the overall survival (OS) relationship with LMR is examined, OS was 131.8 months in patient group with LMR ≤ 26 (95% confidence interval (CI): 110.9 - 152.7, P > 0.05) and 98.1 months in patient group with LMR > 26 (95% CI: 81 - 115.2, P > 0.05). No statistically significant relationship was found. In our study, the OS was calculated as 120.6 months in all patients. When PFS relationship with LMR is examined, PFS was 107.2 months in patient group with LMR ≤ 26 (95% CI: 81.6 - 132.8, P > 0.05) and 80.6 months in patient group with LMR > 26 (95% CI: 64.2 - 97, P > 0.05). No statistically significant relationship was detected. The median PFS value of our study was calculated as 96.5 months (Table 5).
Table 5

LMR and OS and PFS

PFS (month)a95% CIP
LMR ≤ 26107.281.6 - 132.8
LMR > 2680.664.2 - 97.00.110
Total96.578.8 - 114.1

Kaplan-Meier (log-rank) method was used in survival analysis. aPFS was 107.2 months in patient group with LMR ≤ 26 (95% CI: 81.6 - 132.8, P > 0.05) and 80.6 months in patient group with LMR > 26 (95% CI: 64.2 - 97, P > 0.05). No statistically significant relationship was detected. The median PFS value of our study was calculated as 96.5 months in total. bOS was 131.8 months in patient group with LMR ≤ 26 (95% CI: 110.9 - 152.7, P > 0.05) and 98.1 months in patient group with LMR > 26 (95% CI: 81 - 115.2, P > 0.05). No statistically significant relationship was found. In our study, the OS was calculated as 120.6 months in all patients. PFS: progression-free survival; OS: overall survival; LMR: lymphocyte/monocyte ratio; CI: confidence interval.

Kaplan-Meier (log-rank) method was used in survival analysis. aPFS was 107.2 months in patient group with LMR ≤ 26 (95% CI: 81.6 - 132.8, P > 0.05) and 80.6 months in patient group with LMR > 26 (95% CI: 64.2 - 97, P > 0.05). No statistically significant relationship was detected. The median PFS value of our study was calculated as 96.5 months in total. bOS was 131.8 months in patient group with LMR ≤ 26 (95% CI: 110.9 - 152.7, P > 0.05) and 98.1 months in patient group with LMR > 26 (95% CI: 81 - 115.2, P > 0.05). No statistically significant relationship was found. In our study, the OS was calculated as 120.6 months in all patients. PFS: progression-free survival; OS: overall survival; LMR: lymphocyte/monocyte ratio; CI: confidence interval.

Relationship of LMR with cytogenetic prognostic factors

When the 13q14 deletion, 17p deletion, 11q deletion, trisomy 12 positivity and LMR relationship of the patients who underwent cytogenetic analysis with FISH were examined, no statistically significant relationship was found for any cytogenetic anomaly (P > 0.05). Similarly, no statistically significant relationship was detected between the group that was performed cytogenetic analysis and the group that was not performed it (P > 0.05).

Discussion

CLL is a disease with a highly variable prognosis. This heterogeneity in the clinical behavior of patients makes it difficult to provide prognostic information. New parameters have been developed for the early application of new treatment regimens in patients with poor prognosis; this contributes to prolonging survival. In published studies, low LMR level has been associated with low survival and poor prognosis in other different solid cancers such as breast cancer or pancreatic adenocarcinoma [15]. There are different studies showing that low LMR is an independent prognostic factor associated with poor prognosis, low OS and PFS in patients with some hematological malignancies such as Hodgkin lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, extranodal natural killer/T (NK/T) cell lymphoma, anaplastic large B-cell lymphoma and multiple myeloma [16-21]. However, there is no study on LMR in CLL patients in the literature. When hematological malignancies other than CLL are examined (diffuse large B-cell and Hodgkin lymphoma), the LMR cut-off value varies between 2 and 6. In our study, the LMR cut-off value was accepted as 26 based on the median value. It seems to be high compared with other malignancies. This is an understandable result because CLL is a lymphocytosis-based malignancy (Table 1). The low peripheral absolute lymphocyte and high monocyte counts have been reported also in a study in CLL patients. Szerafin et al analyzed the data of 223 newly-diagnosed CLL patients. Patients with low and high monocyte counts had a shorter time to treatment compared to patients who belonged to the intermediate monocyte count group. The low AMC was associated with increased mortality. They also found that the AMC may give some prognostic information in Rai Stage 0 [22]. In our study, as a result of correlation analysis, no significant correlation was observed between LMR and age, whereas a significant positive correlation was observed between LMR and leukocyte or lymphocyte count and Rai Stages. A significant negative correlation was observed between the LMR and the number of monocytes. High LMR may be a poor prognostic indicator for CLL. Additionally, in our study, the relationship between cytogenetic anomalies (del13q14, del11q, del17p and trisomy 12) used in CLL in terms of prognosis and LMR was also examined, but no significant relationship was found. In conclusion, it is stated that CLL cases with high LMR value are more in the advanced stage and have more frequently an indication for treatment. OS and PFS are lower in CLL cases with a value of LMR above 26 without statistical significance. This value is a simple indicator that can help other laboratory and clinical staging systems. To clarify the availability of LMR in CLL, prospective additional studies are needed on more patients showing that different LMR values represent different stages of disease. Major limitation of our study is that the study was conducted in a small number of patients. Only 71.1% of the cases had cytogenetic analysis. Moreover, different causes affecting ALC, such as the presence of proliferation and increased apoptosis, due to the nature of the disease, as in aggressive lymphomas, may be a limiting factor in the use of LMR as an important prognostic indicator in CLL. It can be also said that the results of the study were negatively affected by considering many additional factors such as low LMR in the presence of an infection, low lymphocyte counts as age increases and not being able to look at lymphocyte subgroups.
  21 in total

1.  Addition of rituximab to fludarabine and cyclophosphamide in patients with chronic lymphocytic leukaemia: a randomised, open-label, phase 3 trial.

Authors:  M Hallek; K Fischer; G Fingerle-Rowson; A M Fink; R Busch; J Mayer; M Hensel; G Hopfinger; G Hess; U von Grünhagen; M Bergmann; J Catalano; P L Zinzani; F Caligaris-Cappio; J F Seymour; A Berrebi; U Jäger; B Cazin; M Trneny; A Westermann; C M Wendtner; B F Eichhorst; P Staib; A Bühler; D Winkler; T Zenz; S Böttcher; M Ritgen; M Mendila; M Kneba; H Döhner; S Stilgenbauer
Journal:  Lancet       Date:  2010-10-02       Impact factor: 79.321

2.  Alemtuzumab in combination with high-dose methylprednisolone is a logical, feasible and highly active therapeutic regimen in chronic lymphocytic leukaemia patients with p53 defects.

Authors:  A R Pettitt; E Matutes; D Oscier
Journal:  Leukemia       Date:  2006-06-01       Impact factor: 11.528

3.  Hypogammaglobulinemia in newly diagnosed chronic lymphocytic leukemia: Natural history, clinical correlates, and outcomes.

Authors:  Sameer A Parikh; Jose F Leis; Kari G Chaffee; Timothy G Call; Curtis A Hanson; Wei Ding; Asher A Chanan-Khan; Deborah Bowen; Michael Conte; Susan Schwager; Susan L Slager; Daniel L Van Dyke; Diane F Jelinek; Neil E Kay; Tait D Shanafelt
Journal:  Cancer       Date:  2015-04-30       Impact factor: 6.860

4.  [Prognostic value of absolute monocyte count in chronic lymphocytic leukaemia].

Authors:  László Szerafin; János Jakó; Ferenc Riskó
Journal:  Orv Hetil       Date:  2015-04       Impact factor: 0.540

5.  Usefulness of lymphocyte-to-monocyte, neutrophil-to-monocyte and neutrophil-to-lymphocyte ratios as prognostic markers in breast cancer patients treated with neoadjuvant chemotherapy.

Authors:  C Marín Hernández; A Piñero Madrona; P J Gil Vázquez; P J Galindo Fernández; G Ruiz Merino; J L Alonso Romero; P Parrilla Paricio
Journal:  Clin Transl Oncol       Date:  2017-08-07       Impact factor: 3.405

6.  Prognostic impact of absolute lymphocyte count/absolute monocyte count ratio and prognostic score in patients with nasal-type, extranodal natural killer/T-cell lymphoma.

Authors:  Na Li; Li Zhang; Hao-Lan Song; Jing Zhang; Hua-Wei Weng; Li-Qun Zou
Journal:  Tumour Biol       Date:  2017-05

Review 7.  The clinical and epidemiological burden of chronic lymphocytic leukaemia.

Authors:  A Redaelli; B L Laskin; J M Stephens; M F Botteman; C L Pashos
Journal:  Eur J Cancer Care (Engl)       Date:  2004-07       Impact factor: 2.520

8.  Evidence of serum immunoglobulin abnormalities up to 9.8 years before diagnosis of chronic lymphocytic leukemia: a prospective study.

Authors:  Huei-Ting Tsai; Neil E Caporaso; Robert A Kyle; Jerry A Katzmann; Angela Dispenzieri; Richard B Hayes; Gerald E Marti; Maher Albitar; Paolo Ghia; S Vincent Rajkumar; Ola Landgren
Journal:  Blood       Date:  2009-10-14       Impact factor: 22.113

9.  Chronic lymphocytic leukemia in Turkey: experience of a single center in Istanbul.

Authors:  Omer Nuri Pamuk; Gülsüm Emel Pamuk; Teoman Soysal; Seniz Ongören; Zafer Başlar; Burhan Ferhanoğlu; Yildiz Aydin; Birsen Ulkü; Gulten Aktuğlu; Nuran Akman
Journal:  South Med J       Date:  2004-03       Impact factor: 0.954

10.  A new prognostic classification of chronic lymphocytic leukemia derived from a multivariate survival analysis.

Authors:  J L Binet; A Auquier; G Dighiero; C Chastang; H Piguet; J Goasguen; G Vaugier; G Potron; P Colona; F Oberling; M Thomas; G Tchernia; C Jacquillat; P Boivin; C Lesty; M T Duault; M Monconduit; S Belabbes; F Gremy
Journal:  Cancer       Date:  1981-07-01       Impact factor: 6.860

View more
  2 in total

1.  Correlations of peripheral blood neutrophil-lymphocyte ratio and lymphocyte-monocyte ratio with renal function and prognosis in patients with lupus nephritis.

Authors:  Lingyu Xue; Yanping Shi; Jing Zhang; Zhanglei Pan; Qiao Yin; Lili Xie; Peng Zhang; Shuhui Xue
Journal:  Am J Transl Res       Date:  2022-01-15       Impact factor: 4.060

2.  Prognostic role of lymphocyte to monocyte ratio in feline high-grade lymphomas.

Authors:  Michihito Tagawa; Genya Shimbo; Kazuro Miyahara
Journal:  Can Vet J       Date:  2021-10       Impact factor: 1.008

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.