Literature DB >> 26802161

Baseline neutrophils and derived neutrophil-to-lymphocyte ratio: prognostic relevance in metastatic melanoma patients receiving ipilimumab.

P F Ferrucci1, P A Ascierto2, J Pigozzo3, M Del Vecchio4, M Maio5, G C Antonini Cappellini6, M Guidoboni7, P Queirolo8, P Savoia9, M Mandalà10, E Simeone2, S Valpione3, M Altomonte5, F Spagnolo8, E Cocorocchio1, S Gandini11, D Giannarelli12, C Martinoli13.   

Abstract

BACKGROUND: Clinical responses to ipilimumab are variable in terms of onset, magnitude and duration. Upfront identification of patients who are more likely or unlikely to benefit from treatment is a major need. PATIENTS AND METHODS: Prospectively collected data from 720 advanced melanoma patients treated with ipilimumab 3 mg/kg within the Italian expanded access program were analyzed. The derived neutrophil-to-lymphocyte ratio (dNLR) was calculated from baseline peripheral blood cell counts, and receiver operating characteristic curve was used to evaluate the best cutoff for this marker. Patients were stratified according to dichotomized baseline absolute neutrophil counts (ANC), dNLR and their combination. The prognostic values of ANC and dNLR for survival were assessed using multivariate Cox proportional hazard models. A subgroup analysis including LDH in the models was also carried out.
RESULTS: The median follow-up was 16.5 months. The optimal cutoff for dNLR was 3. Baseline ANC and dNLR were significantly associated with the outcome of ipilimumab-treated melanoma patients, in terms of disease progression and death (P < 0.0001 for all). Furthermore, for each elevated variable, prognosis worsened. Patients with both ANC ≥ 7500 and dNLR ≥ 3 had a significantly and independently increased risk of death [hazard ratio(HR) = 5.76; 95% confidence interval (CI) 4.29-7.75] and of progression (HR = 4.10; 95% CI 3.08-5.46) compared with patients with both lower ANC and dNLR. Patients with one of the two factors elevated displayed an intermediate risk of progression and death. The 1- and 2-year survival rates were 2% and 0%, respectively, for patients with ANC ≥ 7500 and dNLR ≥ 3, and 43% and 24%, respectively, for patients with both lower ANC and dNLR.
CONCLUSIONS: Although these findings need to be confirmed and validated, we suggest that a neutrophil-based index may help risk-group stratification and assist disease-management strategies. Furthermore, the potential predictive value of this index for response to ipilimumab should be investigated in randomized clinical trials.
© The Author 2016. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  biomarker; dNLR; ipilimumab; melanoma; neutrophil; prognosis

Mesh:

Substances:

Year:  2016        PMID: 26802161     DOI: 10.1093/annonc/mdw016

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  130 in total

1.  Long-term response to ipilimumab after nivolumab failure in a case of anorectal melanoma with an intermediate tumor mutation burden and negative for PD-L1 expression.

Authors:  Hitomi Sakai; Masayuki Takeda; Kazuko Sakai; Kazuto Nishio; Kazuhiko Nakagawa
Journal:  Mol Clin Oncol       Date:  2020-05-21

2.  The new identified biomarkers determine sensitivity to immune check-point blockade therapies in melanoma.

Authors:  Hao Chen; Meng Yang; Qinghua Wang; Fengju Song; Xiangchun Li; Kexin Chen
Journal:  Oncoimmunology       Date:  2019-05-10       Impact factor: 8.110

3.  Predictive value of PD-L1 based on mRNA level in the treatment of stage IV melanoma with ipilimumab.

Authors:  C Brüggemann; M C Kirchberger; S M Goldinger; B Weide; A Konrad; M Erdmann; D Schadendorf; R S Croner; L Krähenbühl; K C Kähler; C Hafner; W Leisgang; F Kiesewetter; R Dummer; G Schuler; M Stürzl; L Heinzerling
Journal:  J Cancer Res Clin Oncol       Date:  2017-06-14       Impact factor: 4.553

Review 4.  Predictive biomarkers for checkpoint inhibitor-based immunotherapy.

Authors:  Geoffrey T Gibney; Louis M Weiner; Michael B Atkins
Journal:  Lancet Oncol       Date:  2016-12       Impact factor: 41.316

5.  Tumor-derived microRNAs induce myeloid suppressor cells and predict immunotherapy resistance in melanoma.

Authors:  Veronica Huber; Viviana Vallacchi; Viktor Fleming; Xiaoying Hu; Agata Cova; Matteo Dugo; Eriomina Shahaj; Roberta Sulsenti; Elisabetta Vergani; Paola Filipazzi; Angela De Laurentiis; Luca Lalli; Lorenza Di Guardo; Roberto Patuzzo; Barbara Vergani; Elena Casiraghi; Mara Cossa; Ambra Gualeni; Valentina Bollati; Flavio Arienti; Filippo De Braud; Luigi Mariani; Antonello Villa; Peter Altevogt; Viktor Umansky; Monica Rodolfo; Licia Rivoltini
Journal:  J Clin Invest       Date:  2018-11-05       Impact factor: 14.808

6.  Serum exosomes as predictors of clinical response to ipilimumab in metastatic melanoma.

Authors:  Marco Tucci; Anna Passarelli; Francesco Mannavola; Luigia Stefania Stucci; Paolo Antonio Ascierto; Marilena Capone; Gabriele Madonna; Patrizia Lopalco; Francesco Silvestris
Journal:  Oncoimmunology       Date:  2017-11-06       Impact factor: 8.110

Review 7.  Revealing the prognostic landscape of neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio in metastatic castration-resistant prostate cancer patients treated with abiraterone or enzalutamide: a meta-analysis.

Authors:  Yupeng Guan; Haiyun Xiong; Yupeng Feng; Guolong Liao; Tongyu Tong; Jun Pang
Journal:  Prostate Cancer Prostatic Dis       Date:  2020-02-07       Impact factor: 5.554

8.  Evaluating response to immunotherapy with 18F-FDG PET/CT: where do we stand?

Authors:  Nicolas Aide; Michel De Pontdeville; Egesta Lopci
Journal:  Eur J Nucl Med Mol Imaging       Date:  2020-05       Impact factor: 9.236

9.  Impact of concomitant medication use and immune-related adverse events on response to immune checkpoint inhibitors.

Authors:  Shipra Gandhi; Manu Pandey; Nischala Ammannagari; Chong Wang; Mark J Bucsek; Lamya Hamad; Elizabeth Repasky; Marc S Ernstoff
Journal:  Immunotherapy       Date:  2020-02-17       Impact factor: 4.196

Review 10.  Predictive factors of response to immunotherapy-a review from the Spanish Melanoma Group (GEM).

Authors:  Enrique Espinosa; Ivan Márquez-Rodas; Ainara Soria; Alfonso Berrocal; Jose Luis Manzano; Maria Gonzalez-Cao; Salvador Martin-Algarra
Journal:  Ann Transl Med       Date:  2017-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.