The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Interleukin-6 and interleukin-10 levels in chronic lymphocytic leukemia: correlation with phenotypic characteristics and outcome
Abstract
The objective of this study was to examine the correlation between serum interleukin-6 (IL-6) and IL-10 levels and outcome in chronic lymphocytic leukemia (CLL). Serum IL-6 and IL-10 levels were measured by enzyme-linked immunoabsorbent assays from 159 and 151 CLL patients, respectively, and from healthy control subjects (n = 55 [IL-6]; n = 37 [IL-10]). Cytokine levels were correlated with clinical features and survival. Serum IL-6 levels were higher in CLL patients (median, 1.45 pg/mL; range, undetectable to 110 pg/mL) than in control subjects (median, undetectable; range, undetectable to 4.30 pg/mL) (P < .0001). Serum IL-10 levels were higher in CLL patients (median, 5.04 pg/mL; range, undetectable to 74 pg/mL) than in normal volunteers (median, undetectable; range, undetectable to 13.68 pg/mL) (P < .00001). Assays measuring both Epstein-Barr virus-derived and human IL-10 yielded higher values than assays measuring primarily human IL-10 (P < .05). Patients with elevation of serum IL-6 or IL-10 levels, or both, had worse median and 3-year survival (log rank P < .001) and unfavorable characteristics (prior treatment, elevated β2-microglobulin or lactate dehydrogenase, or Rai stage III or IV). Elevated IL-6 and IL-10 levels were independent prognostic factors for survival when analyzed individually or in combination (Cox regression analysis). However, if β2-microglobulin was incorporated into the analysis, it was selected as an independent prognostic feature, and IL-6/IL-10 were no longer selected. In patients with CLL, serum IL-6 and IL-10 (viral and human) levels are elevated and correlate with adverse disease features and short survival. In multivariate analysis, however, β2-microglobulin is the most important prognostic factor.
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Cites
Interleukin-6 is a prognostic factor in multiple myeloma [letter] [see comments]
Ludwig, H., Nachbaur, D., Fritz, E., Krainer, M., & Huber, H. (1991) · Blood · doi:10.1182/blood.v77.12.2794.2794 · Cited by 158 · cited 4×
“45 (0-110) Median follow-up of survivors (mo) 30 (1-40) No.”
InfluentialPrognostic value of serum interleukin-6 in diffuse large-cell lymphoma
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Self-citation
Cited by
Interleukin‐6 and its receptor in cancer: Implications for Translational Therapeutics
Hong, D. S., Angelo, L. S., & Kurzrock, R. (2007) · Cancer · doi:10.1002/cncr.22999 · Cited by 370
Self-citationvan Bruggen, J. A. C., Martens, A. W. J., Fraietta, J. A., Hofland, T., Tonino, S. H., Eldering, E., Levin, M.-D., Siska, P. J., Endstra, S., Rathmell, J. C., et al. (2019) · Blood · doi:10.1182/blood.2018885863 · Cited by 187
Hu, L., Yu, Y., Huang, H., Fan, H., Hu, L., Yin, C., Li, K., Fulton, D. J. R., & Chen, F. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00696 · Cited by 100
“It is produced by various cells, but the main sources are macrophages and monocytes (14, 15).”
BackgroundForti, L. N., Njemini, R., Beyer, I., Eelbode, E., Meeusen, R., Mets, T., & Bautmans, I. (2014) · AGE · doi:10.1007/s11357-014-9704-6 · Cited by 67
Stress and non-stress roles of inflammatory signals during HSC Emergence and maintenance
Clapes, T., Lefkopoulos, S., & Trompouki, E. (2016) · Frontiers in Immunology · doi:10.3389/fimmu.2016.00487 · Cited by 62
Bone marrow inflammation in haematological malignancies
de Jong, M. M. E., Chen, L., Raaijmakers, M. H. G. P., & Cupedo, T. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01003-x · Cited by 54
Metadata
- Authors
- Fayad, L., Keating, M. J., Reuben, J. M., O'Brien, S., Lee, B.-N., Lerner, S., & Kurzrock, R.
- Venue
- Blood
- Publisher
- American Society of Hematology
- Published
- 2001-01-01
- Volume
- 97
- Issue
- 1
- Pages
- 256-263
- ISSN
- 0006-4971 (ISSN-L)
- 1528-0020
- OpenAlex
- W2027092131
- Cited by
- 290
- References
- 2
- FWCI
- 6.35
- Type
- journal article
- Language
- en
- Open access
- closed
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