Baseline neutrophil-to-lymphocyte ratio (NLR) and derived NLR could predict overall survival in patients with advanced melanoma treated with nivolumab
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Melanoma patients on PD-1 therapy with high NLR had worse overall and progression-free survival than those with low NLR.
“Consistent with published studies in multiple settings21–24, PD-1-treated patients with melanoma with a high NLR had poorer survival (OS/PFS) than those with a low NLR.”
From Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1 (2022) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989 · see citing works
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay‐Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,314 · see citing works
The blockade of immune checkpoints in cancer immunotherapy
Pardoll, D. M. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3239 · Cited by 13,838 · see citing works
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157 · see citing works
Self-citationNivolumab in Previously Untreated Melanoma without <i>BRAF</i> Mutation
Robert, C., Long, G. V., Brady, B., Dutriaux, C., Maio, M., Mortier, L., Hassel, J. C., Rutkowski, P., McNeil, C., Kalinka-Warzocha, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1412082 · Cited by 5,519 · see citing works
Self-citationImmune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy
Topalian, S. L., Drake, C. G., & Pardoll, D. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.001 · Cited by 4,229 · see citing works
Coordinated regulation of myeloid cells by tumours
Gabrilovich, D. I., Ostrand-Rosenberg, S., & Bronte, V. (2012) · Nature Reviews Immunology · doi:10.1038/nri3175 · Cited by 3,544 · see citing works
Wolchok, J. D., Hoos, A., O'Day, S. J., Weber, J. S., Hamid, O., Lebbé, C., Maio, M., Binder, M., Bohnsack, O., Nichol, G. M., et al. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-1624 · Cited by 3,214 · see citing works
Weber, J. S., D’Angelo, S. P., Minor, D. R., Hodi, F. S., Gutzmer, R., Neyns, B., Höeller, C., Khushalani, N. I., Miller, W. H., Lao, C. D., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)70076-8 · Cited by 2,676 · see citing works
Self-citationCancer-related inflammation and treatment effectiveness
Diakos, C. I., Charles, K. A., McMillan, D. C., & Clarke, S. J. (2014) · The Lancet Oncology · doi:10.1016/s1470-2045(14)70263-3 · Cited by 2,193 · see citing works
Zahorec, R. (2001) · Bratislava Medical Journal · doi:10.1007/bf03656390 · Cited by 1,601 · see citing works
Budczies, J., Klauschen, F., Sinn, B. V., Győrffy, B., Schmitt, W., Darb‐Esfahani, S., & Denkert, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051862 · Cited by 1,226 · see citing works
Baseline Biomarkers for Outcome of Melanoma Patients Treated with Pembrolizumab
Weide, B., Martens, A., Hassel, J. C., Berking, C., Postow, M. A., Bisschop, K., Simeone, E., Mangana, J., Schilling, B., Di Giacomo, A. M., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-16-0127 · Cited by 589 · see citing works
Self-citationBagley, S. J., Kothari, S., Aggarwal, C., Bauml, J. M., Alley, E. W., Evans, T. L., Kosteva, J. A., Ciunci, C. A., Gabriel, P. E., Thompson, J. C., et al. (2017) · Lung Cancer · doi:10.1016/j.lungcan.2017.01.013 · Cited by 512 · see citing works
Ferrucci, P. F., Ascierto, P. A., Pigozzo, J., Vecchio, M. D., Maio, M., Cappellini, G. C. A., Guidoboni, M., Queirolo, P., Savoia, P., Mandalà, M., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw016 · Cited by 397 · see citing works
Self-citationSchmidt, H., Bastholt, L., Geertsen, P. F., Christensen, I. J., Larsen, S., Gehl, J., & von der Maase, H. (2005) · British Journal of Cancer · doi:10.1038/sj.bjc.6602702 · Cited by 330 · see citing works
Leitch, E. F., Chakrabarti, M., Crozier, J. E. M., McKee, R. F., Anderson, J. H., Horgan, P. G., & McMillan, D. C. (2007) · British Journal of Cancer · doi:10.1038/sj.bjc.6604027 · Cited by 307 · see citing works
He, G., Zhang, H., Zhou, J., Wang, B., Chen, Y., Kong, Y., Xie, X., Wang, X., Fei, R., Wei, L., et al. (2015) · Journal of Experimental & Clinical Cancer Research · doi:10.1186/s13046-015-0256-0 · Cited by 269 · see citing works
Ferrucci, P. F., Gandini, S., Battaglia, A., Alfieri, S., Giacomo, A. M. D., Giannarelli, D., Cappellini, G. C. A., Galitiis, F. D., Marchetti, P., Amato, G., et al. (2015) · British Journal of Cancer · doi:10.1038/bjc.2015.180 · Cited by 263 · see citing works
Self-citationVEGF release by MMP-9 mediated heparan sulphate cleavage induces colorectal cancer angiogenesis
Hawinkels, L. J. A. C., Zuidwijk, K., Verspaget, H. W., de Jonge‐Muller, E. S. M., van Duijn, W., Ferreira, V., Fontijn, R. D., David, G., Hommes, D. W., Lamers, C. B. H. W., et al. (2008) · European Journal of Cancer · doi:10.1016/j.ejca.2008.06.031 · Cited by 212 · see citing works
Zaragoza, J., Caille, A., Bénéton, N., Bens, G., Christiann, F., Maillard, H., & Machet, L. (2015) · British Journal of Dermatology · doi:10.1111/bjd.14155 · Cited by 154 · see citing works
Di Giacomo, A. M., Calabrò, L., Danielli, R., Fonsatti, E., Bertocci, E., Pesce, I., Fazio, C., Cutaia, O., Giannarelli, D., Miracco, C., et al. (2013) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-013-1418-6 · Cited by 135 · see citing works
Self-citationNeutrophil to Lymphocyte Ratio is Associated With Outcome During Ipilimumab Treatment
Cassidy, M. R., Wolchok, R. E., Zheng, J., Panageas, K. S., Wolchok, J. D., Coit, D. G., Postow, M. A., & Ariyan, C. E. (2017) · EBioMedicine · doi:10.1016/j.ebiom.2017.03.029 · Cited by 105 · see citing works
The Leloir Pathway of Galactose Metabolism – A Novel Therapeutic Target for Hepatocellular Carcinoma
Tang, M., ETOKIDEM, E., & Lai, K. (2016) · Anticancer Research · doi:10.21873/anticanres.11221 · Cited by 56 · see citing works
Prognostic impact of preoperative monocyte counts in patients with resected lung adenocarcinoma
Kumagai, S., Marumo, S., Shoji, T., et al. (2014) · Lung Cancer · doi:10.1016/j.lungcan.2014.06.015 · Cited by 55 · see citing works
Current Status of Biological Therapies for the Treatment of Metastatic Melanoma.
Tang, T., Eldabaje, R., & Yang, L. (2016) · PubMed · Cited by 40 · see citing works
Hashimoto, T., Ohno, Y., Nakashima, J., et al. (2012) · World Journal of Urology · doi:10.1007/s00345-012-0942-x · Cited by 37 · see citing works
Rochet, N. M., Kottschade, L. A., Grotz, T. E., Porrata, L. F., & Markovic, S. N. (2013) · American Journal of Clinical Oncology · doi:10.1097/coc.0b013e31829b5605 · Cited by 34 · see citing works
Relevance of serum biomarkers associated with melanoma during follow-up of anti-CTLA-4 immunotherapy
Félix, J., Cassinat, B., Porcher, R., Schlageter, M., Maubec, E., Pagès, C., Baroudjian, B., Homyrda, L., Boukouaci, W., Tamouza, R., et al. (2016) · International Immunopharmacology · doi:10.1016/j.intimp.2016.09.030 · Cited by 32 · see citing works
Ascierto, P. A., Vanella, V., Grimaldi, A. M., Festino, L., Palla, M., Simeone, E., & Mozzillo, N. (2016) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-016-1898-2 · Cited by 22 · see citing works
Self-citationGiorgi, U. D., Procopio, G., Guida, A., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdx371.058 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Saxena, M., van der Burg, S. H., Melief, C. J. M., & Bhardwaj, N. (2021) · Nature reviews. Cancer · doi:10.1038/s41568-021-00346-0 · Cited by 1,581 · see citing works
McCulloch, J. A., Davar, D., Rodrigues, R. R., Badger, J. H., Fang, J. R., Cole, A. M., Balaji, A. K., Vetizou, M., Prescott, S. M., Fernandes, M. R., et al. (2022) · Nature Medicine · doi:10.1038/s41591-022-01698-2 · Cited by 472 · see citing works
Valero, C., Lee, M., Hoen, D., Weiss, K., Kelly, D. W., Adusumilli, P. S., Paik, P. K., Plitas, G., Ladanyi, M., Postow, M. A., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-20935-9 · Cited by 441 · see citing works
Liu, J., Li, S., Zhang, S., Liu, Y., Ma, L., Zhu, J., Xin, Y., Wang, Y., Yang, C., & Cheng, Y. (2019) · Journal of Clinical Laboratory Analysis · doi:10.1002/jcla.22964 · Cited by 364 · see citing works
Current and future perspectives of PD-1/PDL-1 blockade in cancer immunotherapy
Makuku, R., Khalili, N., Razi, S., Keshavarz-Fathi, M., & Rezaei, N. (2021) · Journal of Immunology Research · doi:10.1155/2021/6661406 · Cited by 136 · see citing works
Macandog, A. D. G., Catozzi, C., Capone, M., Nabinejad, A., Nanaware, P. P., Liu, S., Vinjamuri, S., Stunnenberg, J. A., Galiè, S., Jodice, M. G., et al. (2024) · Cell Host & Microbe · doi:10.1016/j.chom.2024.10.006 · Cited by 40 · see citing works
Self-citationAscierto, P. A., Capone, M., Grimaldi, A. M., Mallardo, D., Simeone, E., Madonna, G., Roder, H., Meyer, K., Asmellash, S., Oliveira, C., et al. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0569-1 · Cited by 30 · see citing works
Self-citation
- Authors
- Capone, M., Giannarelli, D., Mallardo, D., Madonna, G., Festino, L., Grimaldi, A. M., Vanella, V., Simeone, E., Paone, M., Palmieri, G., Cavalcanti, E., Caracò, C., & Ascierto, P. A.
- Affiliations
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
- Instituto Nazionale Tumori Regina Elena (IT)
- Istituto di Chimica Biomolecolare (IT)
- Corresponding author
- Ascierto, Paolo Antonio
- ORCID
- Venue
- Journal for ImmunoTherapy of Cancer
- Publisher
- BMJ
- Published
- 2018-07-16
- Volume
- 6
- Issue
- 1
- Pages
- 74-74
- ISSN
- 2051-1426 (ISSN-L)
- PMC
- PMC6048712
- OpenAlex
- W2883706035
- Cited by
- 497
- References
- 31
- Citations by year
- 2026: 31 · 2025: 70 · 2024: 84 · 2023: 74 · 2022: 81 · 2021: 65 · 2020: 61 · 2019: 24 · 2018: 5 · 2015: 1
- FWCI
- 14.57
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal for ImmunoTherapy of Cancer (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- UnissResearch (Università degli Studi di Sassari) (submittedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Keywords
- neutrophil-to-lymphocyte ratio, advanced melanoma, nivolumab, immune checkpoint inhibitors, overall survival, progression-free survival, prognostic factors, lactate dehydrogenase, absolute neutrophil count, cut-off values
- MeSH terms
- Antineoplastic Agents, Immunological, Nivolumab, Adult, Aged, Aged, 80 and over, Female, Humans, Leukocyte Count, Lymphocytes, Male, Melanoma, Middle Aged, Neoplasm Metastasis, Neoplasm Staging, Neutrophils, Prognosis, Biomarkers, Treatment Outcome, Lymphocyte Count, Kaplan-Meier Estimate, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review