Hematological profile: A prognosis tool in melanoma patients treated with immunotherapy.

Authors

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Soraia Lobo Martins

Oncology Division, Hospital de Santa Maria - Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal

Soraia Lobo Martins, Patrícia Miguel-Semedo, Diogo Alexandre Martins-Branco, Ana Maria Monteiro, Cecilia Melo Alvim Moreira, Helena Pais, Ines Vendrell, Andre Mansinho, Emanuel Jose Gouveia, Maria-Jose Saramago Passos, Luis Costa, Ana Rita Teixeira Sousa

Organizations

Oncology Division, Hospital de Santa Maria - Centro Hospitalar Universitário Lisboa Norte, Lisbon, Portugal, Oncology Division, Instituto Português de Oncologia de Lisboa Francisco Gentil, Lisbon, Portugal, Oncology Division, Instituto Português de Oncologia Lisboa Francisco Gentil, Lisbon, Portugal, Oncology Division, Instituto Português de Oncologia de Lisboa Francisco Gentil, Lisboa, Portugal, Oncology Division, Hospital de Santa Maria - Centro Hospitalar Universitário Lisboa Norte and Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal

Research Funding

Other

Background: Immunotherapy (IO) has changed the disease course of metastatic malignant melanoma (mMM). Prognostic biomarkers are lacking, but high neutrophil-lymphocyte ratio (NLR) has been correlated with poor outcome. Lymphocyte-monocyte ratio (LMR) and platelet-lymphocyte ratio (PLR) are also readily available. This study aimed to investigate the prognostic value of NLR, LMR and PLR. Methods: Retrospective cohort of mMM patients (pts) treated with anti PD-1 blockade in 2 centers, between Jan ’13-Aug ’18. Baseline and 6-week (6 w) blood counts were collected. Cut-offs for NLR, LMR and PLR were defined based on literature and ROC curve method. Progression free survival (PFS; primary outcome) and overall survival (OS) were calculated using log rank test. Uni and multivariate analysis were performed using cox-regression model. Results: Baseline characteristics: 83 pts with median age 65.5 years (range 21-90), 77% BRAFwt, 98% PS-ECOG 0-1, 51% LDH >ULN, 5% on steroids. Median NLR 2.7 (IQR 2.1-3.8), LMR 3.1 (2.1-4.3) and PLR 160.8 (98.3-216.4). The majority of pts (65%) were treated with pembrolizumab. With a median follow-up of 6.2 months (m), median PFS was 7.3 m (CI 5.5-9.2) and median OS was 15.9 m (13.4-18.4). In the multivariate model, baseline NLRhigh (≥3.0) and PLRhigh (≥180.0) were associated with worse PFS (HR 2.04, CI 1.11-3.77; p=0.02; and HR 2.50, CI 1.37-4.57; p=0.003). Baseline LMRhigh (≤2.1) was associated with worse PFS (HR 1.886, CI 1.019-3.488; p=0.043) only on the univariate analysis. At 6 w, 16 out of 39 pts with baseline NLRhigh presented a decrease in NLR. This was associated with better PFS (HR 0.24, CI 0.09-0.62; p=0.003). Inversely, an increase ≥20% in NLR or PLR was associated with progression (HR 3.65, CI 1.99-6.72, p < 0.001; and HR 3.99, CI 2.01-7.91, p < 0.001). Conclusions: Our data showed that NLR and PLR, as surrogates for systemic inflammation, might be used as prognostic biomarkers for melanoma patients treated with IO. Decreasing NLR in pts with previously high NLR, has a 76% risk reduction of progression. In clinically challenging situations, these biomarkers may help the clinician in an earlier therapeutic orientation.

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Abstract Details

Meeting

2019 ASCO-SITC Clinical Immuno-Oncology Symposium

Session Type

Poster Session

Session Title

Poster Session B

Track

Breast and Gynecologic Cancers,Developmental Therapeutics,Genitourinary Cancer,Head and Neck Cancer,Lung Cancer,Melanoma/Skin Cancers,Gastrointestinal Cancer,Combination Studies,Implications for Patients and Society,Miscellaneous Cancers,Hematologic Malignancies

Sub Track

Biomarkers and Inflammatory Signatures

Citation

J Clin Oncol 37, 2019 (suppl 8; abstr 135)

DOI

10.1200/JCO.2019.37.8_suppl.135

Abstract #

135

Poster Bd #

E9

Abstract Disclosures