Correlation of circulating tumor cells (CTCs) with peripheral blood leukocytes to predict outcome in metastatic breast cancer (MBC).

Authors

null

Ugo De Giorgi

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy

Ugo De Giorgi , Michal Mego , Emanuela Scarpi , Antonio Giordano , Mario Giuliano , Vicente Valero , Ricardo H. Alvarez , Naoto T. Ueno , Massimo Cristofanilli , James M. Reuben

Organizations

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) IRCCS, Meldola, Italy, Translational Research Unit, Faculty of Medicine, Comenius University; Department of Clinical Oncology, National Cancer Institute, Bratislava, Slovakia, Medcl Univ of South Carolina, Charleston, SC, University of Naples Federico II, Naples, Italy, The University of Texas MD Anderson Cancer Center, Houston, TX, Cancer Treatment Centers of America, Newnan, GA, Department of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, Robert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Chicago, IL, Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, TX

Research Funding

Other

Background: We retrospectively evaluated the correlation between a baseline measurement of CTCs and neutrophils, lymphocytes and platelets levels from peripheral blood along with the neutrophyl-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR) and systemic immune-inflammation index (SII), as general measures of immune-inflammation status in MBC. Methods: CTCs detection (CTCs+ = ≥ 5CTCs), white blood cell (WBC) counts plus platelet levels, and tumor features of 516 women with MBC before starting a new treatment between July 2002 and June 2009 were recorded at the Department of Breast Medical Oncology, MD Anderson Cancer Center. Counts were log-transformed and effects on these by tumor features and epidemiologic variables assessed by generalized linear models, followed by Cox proportional hazards models to assess effects on overall survival (OS). The optimal predictive value of NLR, PLR and SII to predict survival was determined and compared with CTC < 5 or > 5 per 7.5 ml of blood (CellSeach, Janssen Diagnostics). Results: In the overall population (n = 516), CTCs+ correlated with monocytes (p = 0.008) and neutrophils (p = 0.038). CTCs+ correlated with monocyte count only in triple negative tumors (n = 125), p = 0.009, with neutrophil count in HER2+ tumors (n = 100), p = 0.009, with a trend versus monocyte count, p = 0.061, whereas no correlation was found in HER2- estrogen receptor+ tumors (n = 280). In the overall population, univariate logistic regression analyses of WBC, differential counts, NLR, PLR and SII as a function of CTC ( < 5, ≥ 5) correlated with WBC (OR 1.11, p = 0.006), neutrophils (OR 1.09, p = 0.045) and monocytes (OR 3.75, p = 0.001). In multivariate analysis only monocytes remained associated with CTCs+ (OR 2.72, 95% CI 1.09-6.80, p = 0.033). The following variables predicted OS: CTCs+ (HR 1.82; p < 0.0001), NLR (HR 1.47; p = 0.009), PLR (HR 1.46; p = 0.010), SII (HR 1.34.p = 0.047), respectively. Conclusions: CTC, NLR, PLR, and SII are predictors of OS in MBC. CTC directly correlates with monocytes, in particular in triple negative tumors. Links between CTC and monocytes may provide new clues about the pathogenesis and progression of MBC.

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Abstract Details

Meeting

2016 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Tumor Biology

Track

Tumor Biology

Sub Track

Circulating Biomarkers

Citation

J Clin Oncol 34, 2016 (suppl; abstr 11532)

DOI

10.1200/JCO.2016.34.15_suppl.11532

Abstract #

11532

Poster Bd #

229

Abstract Disclosures

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