Literature DB >> 31446882

Developing a score system to predict therapeutic outcomes to anti-PD-1 immunotherapy in metastatic melanoma.

Alice Indini1, Lorenza Di Guardo1, Carolina Cimminiello1, Michele Prisciandaro2, Giovanni Randon2, Filippo De Braud2,3, Michele Del Vecchio1.   

Abstract

BACKGROUND: Prognosis of patients with metastatic melanoma has improved due to the advent of antibodies targeting the programmed cell death protein-1 (PD-1). However, therapeutic outcomes from anti-PD-1 therapy widely differ among patients. Biomarkers for outcome are needed as these may influence patient selection and treatment decision.
METHODS: Data of patients with metastatic melanoma treated with anti-PD-1 were retrospectively reviewed. Baseline biochemical (serum lactate dehydrogenase [LDH] levels, complete blood count) and clinical characteristics were evaluated to identify predictors of progression-free survival (PFS) and overall survival (OS). PFS and OS were assessed using Kaplan-Meier and Cox models. The comparison of predictive power of independent predictors for response to anti-PD-1 was evaluated by receiver operating characteristic (ROC) curves.
RESULTS: Overall, 173 patients were included. Low metastases burden, normal baseline LDH levels, and high relative lymphocyte count (RLC) were associated with favorable outcomes (p < 0.01). According to ROC curves, RLC >17.5% improved survival outcomes. PFS was 3.7 and 15.8 months for patients with RLC <17.5% and >17.5%, respectively (p = 0.004); OS was 5.0 and 33.6 months for patients with RLC <17.5% and >17.5%, respectively (p < 0.001). Stratification of patients according to these variables showed that survival outcomes strongly differ in patients with 3 of 3 compared to those with 2, 1, and none of these 3 factors present (p < 0.001).
CONCLUSIONS: Metastases burden, LDH levels, and RLC are independent baseline characteristics associated with outcome in patients with melanoma receiving anti-PD-1. Further investigations are needed to clarify if evaluation of these parameters can translate into clinical strategy and apply to patient selection.

Entities:  

Keywords:  LDH; Melanoma; anti-PD-1; immunotherapy; leukocytes; prognosis

Mesh:

Substances:

Year:  2019        PMID: 31446882     DOI: 10.1177/0300891619868009

Source DB:  PubMed          Journal:  Tumori        ISSN: 0300-8916            Impact factor:   2.098


  2 in total

Review 1.  Impact of Circulating and Tissue Biomarkers in Adjuvant and Neoadjuvant Therapy for High-Risk Melanoma: Ready for Prime Time?

Authors:  Alice Indini; Fausto Roila; Francesco Grossi; Daniela Massi; Mario Mandalà
Journal:  Am J Clin Dermatol       Date:  2021-05-25       Impact factor: 7.403

2.  Effective pressure and treatment duration of high hydrostatic pressure to prepare melanoma vaccines.

Authors:  Kai Liu; Shuai Yan; Zhanchuan Ma; Bin Liu
Journal:  Oncol Lett       Date:  2020-05-21       Impact factor: 2.967

  2 in total

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