| Title |
Neutrophil to lymphocyte ratio (NLR) improves the risk assessment of ISS staging in newly diagnosed MM patients treated upfront with novel agents
|
|---|---|
| Published in |
Annals of Hematology, July 2015
|
| DOI | 10.1007/s00277-015-2462-4 |
| Pubmed ID | |
| Authors |
A. Romano, N. L. Parrinello, M. L. Consoli, L. Marchionni, S. Forte, C. Conticello, A. Pompa, A. Corso, G. Milone, F. Di Raimondo, I. Borrello |
| Abstract |
Recent reports identify the ratio between absolute neutrophil count (ANC) and absolute lymphocyte count (ALC), called neutrophil to lymphocyte ratio (NLR), as a predictor of progression-free survival (PFS) and overall survival (OS) in various malignancies. We retrospectively examined the NLR in a cohort of 309 newly diagnosed multiple myeloma (MM) patients treated upfront with novel agents. NLR was calculated using data obtained from the complete blood count (CBC) at diagnosis and subsequently correlated with PFS and OS. The median NLR was 1.9 (range 0.4-15.9). Higher NLR was independent of international staging system (ISS) stage, plasma cell infiltration or cytogenetics. The 5-year PFS and OS estimates were, respectively, 18.2 and 36.4 % for patients with NLR ≥ 2 versus 25.5 and 66.6 % in patients with NLR < 2. Among younger patients (age <65 years, N = 179), NLR ≥ 2 had a negative prognostic impact on both PFS and OS, in all ISS stages. By combining ISS stage and NLR in a model limited to young patients, we found that 19 % of the patients were classified as very low risk, 70 % standard risk and 11 % very high risk. The 5-year estimates were 39.3, 19.4 and 10.9 % for PFS and 95.8, 50.9 and 23.6 % for OS for very low, standard-risk and very high-risk groups. We found NLR to be a predictor of PFS and OS in MM patients treated upfront with novel agents. NLR can be combined with ISS staging system to identify patients with dismal outcome. However, larger cohorts and prospective studies are needed to use NLR as additional parameter to personalise MM therapy in the era of novel agents. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 52 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 17% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Bachelor | 6 | 12% |
| Other | 6 | 12% |
| Student > Postgraduate | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 10 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 54% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 13 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 November 2015.
All research outputs
#17,773,420
of 22,828,180 outputs
Outputs from Annals of Hematology
#1,357
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Outputs of similar age
#176,501
of 262,905 outputs
Outputs of similar age from Annals of Hematology
#7
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