The prognostic and predictive impact of inflammatory biomarkers in patients who have advanced‐stage cancer treated with immunotherapy. Issue 1 (17th October 2018)

• Record Type: Journal Article
• Authors: Bilen, Mehmet A.; Martini, Dylan J.; Liu, Yuan; Lewis, Colleen; Collins, Hannah H.; Shabto, Julie M.; Akce, Mehmet; Kissick, Haydn T.; Carthon, Bradley C.; Shaib, Walid L.; Alese, Olatunji B.; Pillai, Rathi N.; Steuer, Conor E.; Wu, Christina S.; Lawson, David H.; Kudchadkar, Ragini R.; El‐Rayes, Bassel F.; Master, Viraj A.; Ramalingam, Suresh S.; Owonikoko, Taofeek K.; Harvey, R. Donald
• Is Part Of: Cancer. Volume 125:Issue 1(2019)
• Page Start: 127
• Page End: 134
• Publication Date: 2018-10-17
• Subjects: biomarkers -- clinical outcomes -- immunotherapy -- inflammation -- phase 1 clinical trials; Cancer -- Periodicals; Cancer -- Cytopathology -- Periodicals; 616.99405
• DOI: 10.1002/cncr.31778
• Languages: English
• ISSNs: 0008-543X

Abstract

Abstract : Background: Optimal prognostic and predictive biomarkers for patients with advanced‐stage cancer patients who received immunotherapy (IO) are lacking. Inflammatory markers, such as the neutrophil‐to‐lymphocyte ratio (NLR), the monocyte‐to‐lymphocyte ratio (MLR), and the platelet‐to‐lymphocyte ratio (PLR), are readily available. The authors investigated the association between these markers and clinical outcomes of patients with advanced‐stage cancer who received IO. Methods: A retrospective review was conducted of 90 patients with advanced cancer who received treatment on phase 1 clinical trials of IO‐based treatment regimens. NLR, MLR, and PLR values were log‐transformed and treated as continuous variables for each patient. Overall survival (OS), progression‐free survival (PFS), and clinical benefit were used to measure clinical outcomes. For univariate associations and multivariable analyses, Cox proportional‐hazards models or logistic regression models were used. Results: The median patient age was 63 years, and most were men (59%). The most common histologies were melanoma (33%) and gastrointestinal cancers (22%). High baseline NLR, MLR, and PLR values were associated significantly with worse OS and PFS ( P < .05) and a lower chance of benefit (NLR and PLR; P < .05). Increased NLR, MLR, and PLR values 6 weeks after baseline were associated with shorter OS and PFS ( P ≤ .052). Conclusions: Baseline and early changes in NLR, MLR, and PLR values were strongly associated with clinical outcomes in patients who received IO‐based treatment regimens on phase 1 trials. Confirmation in a homogenous patient population treated on late‐stage trials or outside of trial settings is warranted. These values may warrant consideration for inclusion when risk stratifying patients enrolled onto phase 1 clinical trials of IO agents. Abstract : High baseline and early increases in the neutrophil‐to‐lymphocyte, monocyte‐to‐lymphocyte, and platelet‐to‐lymphocyte ratios are significantly associated with poor outcomes in patients with advanced‐stage cancer who receive immunotherapy. These markers of inflammation may warrant consideration in updated prognostic models for patients enrolled on phase 1 clinical trials.