| Literature DB >> 30845981 |
Annika Krückel1, Alvaro Moreira2, Waltraud Fröhlich1, Gerold Schuler1, Lucie Heinzerling3.
Abstract
BACKGROUND: The role of eosinophils in cancer is not yet completely understood, but patients with eosinophilia show a trend towards longer survival in several types of cancer, including melanoma. However, eosinophil count at initial diagnosis of metastatic melanoma does not predict survival. Since eosinophil cationic protein (ECP) mediates anticancer effects, such as tissue remodelling and cytotoxic activity, we investigated this marker as an early prognostic marker in metastatic melanoma.Entities:
Keywords: Biomarker; Eosinophil cationic protein (ECP); Eosinophils; Melanoma; Prognosis
Mesh:
Substances:
Year: 2019 PMID: 30845981 PMCID: PMC6407264 DOI: 10.1186/s12885-019-5384-z
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Patient characteristics
| Variables | Patients with ECP higha ( | Patients with ECP lowb ( | ||||
|---|---|---|---|---|---|---|
| Age | Median (Range) | 60 years (40–83 years) | 64 years (31–90 years) | 0.3877 | ||
| OS | Median (Range) | 12 months (2–48 months) | 28 months (3–44 months) | 0.0916 | ||
| n | % | n | % | |||
| Gender | Male | 22 | 65 | 14 | 64 | 0.9350 |
| Female | 12 | 35 | 8 | 36 | ||
| Therapy | Surgery | 31 | 91 | 19 | 86 | 0.6701 |
| Interferon-alpha | 13 | 38 | 7 | 32 | 0.6245 | |
| Chemotherapy | 29 | 85 | 13 | 59 | 0.0270 | |
| Radiotherapy | 25 | 74 | 17 | 77 | 0.7520 | |
| Signal transduction inhibitor (targeted therapy) | 21 | 62 | 9 | 41 | 0.1264 | |
| Checkpoint inhibitor therapy (immunotherapy) | 9 | 26 | 18 | 82 | < 0.0001 | |
| Type of melanoma | Cutaneous | 20c | 59 | 12 | 55 | 0.7520 |
| MUP | 5 | 15 | 9 | 41 | 0.0270 | |
| Uveal | 3 | 9 | 1 | 5 | > 0.9999 | |
| Mucosal | 7c | 21 | 0 | 0 | 0.0349 | |
| LDH | > ULN | 20 | 59 | 18 | 82 | 0.0868 |
| < ULN | 14 | 41 | 4 | 18 | ||
| BRAF statusd | V600 mutation | 13 | 38 | 9e | 41 | 0.7151 |
| V600 wildtype | 14 | 41 | 12e | 55 | ||
| Brain metastases (M1d) | 18 | 53 | 8 | 36 | 0.2244 | |
adefined as > 16.0 ng/ml
bdefined as < 16.0 ng/ml
cone patient has both, cutaneous and mucosal melanoma
dBRAF status of 7 patients was not tested, BRAF test result of one patient was not evaluable
eone patient has discrepant test results of two distinct metastases one with V600E mutation and one with wildtype
Fig. 1a Overall survival of patients with metastatic melanoma (cut-off 16.0 ng/ml). Overall survival of melanoma patients depending on ECP level (n = 56). Patients with an ECP level of 16.0 ng/ml or greater (n = 34) lived shorter (median OS = 12 months) than patients with less than 16.0 ng/ml serum ECP (n = 22; median OS = 28 months; p = 0.0916) at the time of metastatic disease (stage 4). b Overall survival of patients with metastatic melanoma (cut-off 12.2 ng/ml). Overall survival of patients with an ECP level of 12.2 ng/ml or greater (n = 39; median OS = 12 months) and of patients with less than 12.2 ng/ml serum ECP (n = 17; median OS = 28 months) at the time of stage 4 diagnosis within all melanoma patients (n = 56; p = 0.0642)
Fig. 2a Overall survival of patients with cutaneous melanoma (cut-off 16.0 ng/ml). Overall survival of patients with cutaneous melanoma depending on ECP level (n = 45). Patients with an ECP level of 16.0 ng/ml or greater (n = 24) lived shorter (median OS = 12 months) than patients with less than 16.0 ng/ml serum ECP (n = 21; median OS = 28 months; p = 0.0597) at the time of metastatic disease (stage 4). b Overall survival of patients with cutaneous melanoma (cut-off 12.2 ng/ml). Overall survival of patients with an ECP level of 12.2 ng/ml or greater (n = 29; median OS = 12 months) and of patients with less than 12.2 ng/ml serum ECP (n = 16; median OS not reached) at the time of stage 4 diagnosis within patients having cutaneous melanoma (n = 45). The difference is statistically significant at p = 0.0393
Adjusting for gender, age, targeted and immunotherapy (multivariate analysis)
| (1) | (2) | (3) | (4) | |
|---|---|---|---|---|
| ECP > 16 | 1.869* (0.893, 3.913) | 1.869* (0.893, 3.913) | 1.873* (0.895, 3.918) | 1.300 (0.578, 2.922) |
| gender | 0.999 (0.482, 2.074) | 0.987 (0.475, 2.053) | 0.692 (0.311, 1.538) | |
| age | 1.006 (0.977, 1.035) | 1.008 (0.978, 1.039) | ||
| Targeted therapy | 0.728 (0.318, 1.663) | |||
| Immunotherapy | 0.327** (0.130, 0.826) | |||
| Observations | 56 | 56 | 56 | 56 |
| R2 | 0.050 | 0.050 | 0.053 | 0.146 |
| Max. Possible R2 | 0.982 | 0.982 | 0.982 | 0.982 |
| Log Likelihood | − 110.967 | −110.967 | −110.893 | −107.992 |
| Wald Test | 2.760* (df = 1) | 2.760 (df = 2) | 2.900 (df = 3) | 7.910 (df = 5) |
| LR Test | 2.894* (df = 1) | 2.894 (df = 2) | 3.044 (df = 3) | 8.846 (df = 5) |
| Score (Logrank) Test | 2.841* (df = 1) | 2.841 (df = 2) | 2.985 (df = 3) | 8.503 (df = 5) |
Note: *p < 0.1; **p < 0.05