Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab

被引:328
|
作者
Capone, Mariaelena [1 ]
Giannarelli, Diana [2 ]
Mallardo, Domenico [1 ]
Madonna, Gabriele [1 ]
Festino, Lucia [1 ]
Grimaldi, Antonio Maria [1 ]
Vanella, Vito [1 ]
Simeone, Ester [1 ]
Paone, Miriam [1 ]
Palmieri, Giuseppe [3 ]
Cavalcanti, Ernesta [4 ]
Caraco, Corrado [5 ]
Ascierto, Paolo Antonio [1 ]
机构
[1] Fdn G Pascale, IRCCS, Ist Nazl Tumori, Unit Melanoma Canc Immunotherapy & Dev Therapeut, Via Mariano Semmola, I-80131 Naples, Italy
[2] Regina Elena Inst Canc Res, Stat Unit, Rome, Italy
[3] CNR, Inst Biomol Chem, Unit Canc Genet, I-07100 Sassari, Italy
[4] Fdn G Pascale, IRCCS, Ist Nazl Tumori, Dept Diagnost Pathol & Lab, Naples, Italy
[5] Fdn G Pascale, IRCCS, Ist Nazl Tumori, Melanoma & Skin Canc Surg Unit, Naples, Italy
关键词
PD-1; inhibitor; Nivolumab; Biomarkers; Neutrophil-to-lymphocyte ratio; METASTATIC MELANOMA; PERIPHERAL-BLOOD; MONOCYTE COUNTS; IPILIMUMAB; MONOTHERAPY; RELEVANCE; BLOCKADE;
D O I
10.1186/s40425-018-0383-1
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Previous studies have suggested that elevated neutrophil-to-lymphocyte ratio (NLR) is prognostic for worse outcomes in patients with a variety of solid cancers, including those treated with immune checkpoint inhibitors. Methods: This was a retrospective analysis of 97 consecutive patients with stage IV melanoma who were treated with nivolumab. Baseline NLR and derived (d) NLR were calculated and, along with other characteristics, correlated with progression-free survival (PFS) and overall survival (OS) in univariate and multivariate analyses. The best cutoff values for NLR and dNLR were derived using Cutoff Finder software based on an R routine which optimized the significance of the split between Kaplan-Meier survival curves. Results: In univariate analysis, increasing absolute neutrophil count (ANC), NLR, dNLR and lactate dehydrogenase (LDH) (continuous variables) were all significantly associated with OS. Only NLR (hazard ratio [HR] = 2.85; 95% CI 1.60-5.08; p < 0.0001) and LDH (HR = 2.51; 95% CI 1.36-4.64; p < 0.0001) maintained a significant association with OS in multivariate analysis. Patients with baseline NLR >= 5 had significantly worse OS and PFS than patients with NLR < 5, as did patients with baseline dNLR >= 3 versus < 3. Optimal cut-off values were >= 4.7 for NLR and >= 3.8 for dNLR. Using this >= 4.7 cut-off for NLR, the values for OS and PFS were overlapping to the canonical cut-off for values, and dNLR<3.8 was also associated with better OS and PFS. Conclusion: Both Neutrophil-to-lymphocyte ratio (NLR) and derived (d) NLR were associated with improved survival when baseline levels were lower than cut-off values. NLR and dNLR are simple, inexpensive and readily available biomarkers that could be used to help predict response to immunotherapy in patients with advanced melanoma.
引用
收藏
页数:7
相关论文
共 50 条
  • [1] Baseline neutrophil-to-lymphocyte ratio (NLR) is associated with outcome of patients treated with BRAF inhibitors
    E. Cocorocchio
    C. Martinoli
    S. Gandini
    L. Pala
    F. Conforti
    S. Stucchi
    G. Mazzarol
    P. Ferrucci
    [J]. Clinical and Translational Oncology, 2020, 22 : 1818 - 1824
  • [2] Baseline neutrophil-to-lymphocyte ratio (NLR) is associated with outcome of patients treated with BRAF inhibitors
    Cocorocchio, E.
    Martinoli, C.
    Gandini, S.
    Pala, L.
    Conforti, F.
    Stucchi, S.
    Mazzarol, G.
    Ferrucci, P.
    [J]. CLINICAL & TRANSLATIONAL ONCOLOGY, 2020, 22 (10): : 1818 - 1824
  • [3] Prognostic impact of baseline neutrophil-to-lymphocyte ratio (NLR) and its change during treatment for overall survival in advanced SCLC
    Ishihara, M.
    Chin, K.
    Kazahari, H.
    Ochiai, R.
    Sakamoto, T.
    Tanzawa, S.
    Honda, T.
    Ichikawa, Y.
    Watanabe, K.
    Seki, N.
    [J]. ANNALS OF ONCOLOGY, 2021, 32 : S1169 - S1170
  • [4] Prognostic impact of the neutrophil-to-lymphocyte ratio (NLR) on overall survival in patients treated with chemoradiotherapy for head and neck cancer
    Makhloufi, S.
    Lefebvre, G.
    Sakji, I.
    Feutry, F.
    Leroy, T.
    Penel, N.
    Coche, B.
    Fourquet, J.
    Ghestem, F.
    Julieron, M.
    Chevalier, D.
    Tresch, E.
    [J]. ANNALS OF ONCOLOGY, 2017, 28
  • [5] Neutrophil to lymphocyte ratio (NLR) as an early marker for outcome in patients treated with nivolumab in advanced NSCLC
    Nakaya, Aya
    Niki, Maiko
    Yokoi, Takashi
    Takeyasu, Yuki
    Kibata, Kayoko
    Ogata, Makoto
    Torii, Yoshitaro
    Kurata, Takayasu
    Nomura, Shosaku
    [J]. ANNALS OF ONCOLOGY, 2017, 28
  • [6] Baseline neutrophil-to-lymphocyte ratio (NLR) is associated with clinical outcome in recurrent or metastatic head and neck cancer patients treated with nivolumab
    Ueda, Tsutomu
    Chikuie, Nobuyuki
    Takumida, Masaya
    Furuie, Hiromi
    Kono, Takashi
    Taruya, Takayuki
    Hamamoto, Takao
    Hattori, Minoru
    Ishino, Takashi
    Takeno, Sachio
    [J]. ACTA OTO-LARYNGOLOGICA, 2020, 140 (02) : 181 - 187
  • [7] Baseline and early changes in the neutrophil-lymphocyte ratio (NLR) predict survival outcomes in advanced colorectal cancer patients treated with immunotherapy
    Ouyang, Hui
    Xiao, Bijing
    Huang, Yan
    Wang, Zhiqiang
    [J]. INTERNATIONAL IMMUNOPHARMACOLOGY, 2023, 123
  • [8] NEUTROPHIL-TO-LYMPHOCYTE RATIO (NLR) AS A PREDICTOR FOR RECURRENCEIN PATIENTS WITH STAGE III MELANOMA
    Ma, J.
    Kuzman, J.
    Ray, A.
    Khong, B.
    Lawson, B. O.
    Xuan, S.
    Khong, H. T.
    [J]. VALUE IN HEALTH, 2017, 20 (09) : A417 - A418
  • [9] Neutrophil-to-lymphocyte Ratio (NLR) as a predictor for recurrence in patients with stage III melanoma
    Junjie Ma
    James Kuzman
    Abhijit Ray
    Benjamin O. Lawson
    Brian Khong
    Si Xuan
    Andrew W. Hahn
    Hung T. Khong
    [J]. Scientific Reports, 8
  • [10] Neutrophil-to-lymphocyte Ratio (NLR) as a predictor for recurrence in patients with stage III melanoma
    Ma, Junjie
    Kuzman, James
    Ray, Abhijit
    Lawson, Benjamin O.
    Khong, Brian
    Xuan, Si
    Hahn, Andrew W.
    Khong, Hung T.
    [J]. SCIENTIFIC REPORTS, 2018, 8