| Literature DB >> 34362097 |
Shruti Rajesh Patel1, Joerg Herrmann2, Robert A Vierkant3, Janet E Olson3, Fergus J Couch4, Antonious Hazim1, Jeff A Sloan3, Charles L Loprinzi5, Kathryn J Ruddy5.
Abstract
NT-proBNP, soluble ST2 (sST2), and galectin-3 are biomarkers of cardiac dysfunction that have been proposed as identifiers of patients experiencing asymptomatic cardiac dysfunction after anthracycline-based chemotherapy. This study aimed to compare the proportion of breast cancer (BC) survivors with elevated serum levels of these three putative biomarkers by prior receipt of anthracycline (yes vs. no). Five-hundred-eighty survivors of BC who had received anthracycline-based chemotherapy were matched by age and time between diagnosis and serum storage to 580 who had not. Cardiac biomarker levels were analyzed using immunoassays. Analyses were carried out using linear and logistic regression models. Anthracycline recipients had higher values of NT-proBNP than non-recipients (mean 116.0 ng/L vs. 97.0 ng/L, respectively; p < 0.001). Values for ST2 and galectin-3 did not significantly differ by receipt of anthracycline. After further adjustment for age at breast cancer diagnosis, ethnicity, and receipt of trastuzumab, associations between receipt of anthracycline and higher NT-proBNP persisted (p < 0.001), showing that NT-proBNP may be a biomarker of cardiovascular toxicity after receipt of anthracycline-based chemotherapy. Further research to assess the clinical utility of NT-proBNP testing after receipt of anthracycline is recommended. sST2 and galectin-3 do not appear to differentiate between anthracycline recipients and non-recipients amongst breast cancer survivors.Entities:
Keywords: anthracycline toxicity; breast cancer; cardio-oncology
Year: 2021 PMID: 34362097 PMCID: PMC8346981 DOI: 10.3390/jcm10153313
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Comparison of demographic and clinical variables with receipt of anthracycline.
| - | Did Not Receive Anthracycline ( | Received Anthracycline ( | Comparison 1 | |
|---|---|---|---|---|
| Age at breast cancer diagnosis in years, mean (SD) | 52.4 (9.5) | 52.0 (9.7) | −0.3 (−0.4, −0.2) | <0.001 |
| Time from breast cancer diagnosis to blood draw in years, mean (SD) | 2.7 (1.7) | 2.7 (1.7) | 0.01 (−0.01, 0.01) | 0.20 |
| - | - | - | - | - |
| Race, N (percent) | - | - | - | 0.71 |
| White | 546 (94.1) | 549 (94.7) | 1.00 (ref) | - |
| Other/unknown | 34 (5.9) | 31 (5.3) | 1.10 (0.67, 1.80) | - |
| - | - | - | - | - |
| Ethnicity, N (percent) | - | - | - | <0.001 |
| Not Hispanic or Latino | 514 (88.6) | 549 (94.7) | 1.00 (ref) | - |
| Other/unknown | 66 (11.4) | 31 (5.3) | 2.35 (1.48, 3.72) | - |
| - | - | - | - | - |
| Receipt of trastuzumab, N (percent) | - | - | - | <0.001 |
| No | 534 (92.1) | 410 (70.7) | 1.00 (ref) | - |
| Yes | 46 (7.9) | 170 (29.3) | 4.44 (3.10, 6.38) | - |
| - | - | - | - | - |
N: number of subjects; SD: standard deviation; 1: values comparing anthracycline recipients to non-recipients. Mean difference in values with corresponding 95% confidence interval for continuous variables, and conditional logistic regression odds ratios with 95% confidence interval for categorical variables; 2: linear regression analysis modeling matched set ID as a categorical blocking factor for continuous variables, conditional logistic regression analysis for categorical variables.
Comparison of serum-derived cardiac biomarkers with receipt of anthracycline.
| - | Did Not Receive Anthracycline, Mean (SD) | Received Anthracycline, Mean (SD) | Mean Difference (95% CI) 1 | ||
|---|---|---|---|---|---|
| NT-proBNP (ng/L) | 97.0 (137.6) | 116.0 (153.3) | 19.0 (2.9, 35.1) | <0.001 | <0.001 |
| sST2 (ng/L) | 25.1 (14.7) | 25.0 (14.5) | −0.1 (−1.7, 1.63) | 0.78 | 0.93 |
| Galectin-3 (ng/L) | 16.1 (7.8) | 15.8 (7.5) | −0.3 (−1.2, 0.5) | 0.86 | 0.97 |
| - | - | - | - | - | - |
SD: standard deviation; ng/L: nanograms per liter; 1: mean difference in values between anthracycline recipients and non-anthracycline recipients and corresponding 95% confidence interval; 2: linear regression analysis modeling matched set ID as a categorical blocking factor; 3: multivariate linear regression analysis simultaneously modeling NT-proBNP, sST2, galectin-3, age at breast cancer diagnosis, ethnicity and trastuzumab, and including matched set ID as a categorical blocking factor.
Figure 1Association of ranked NT-proBNP values with age at breast cancer diagnosis among the 1160 participants included in the study. Ranked NT-proBNP values range from 1 (for the participant with the lowest original/raw NT-proBNP value) to 1160 (for the participant with the highest original/raw value). Anthracycline users are plotted in red and non-anthracycline users are plotted in blue. A least squares regression line is superimposed on the figure for ease of interpretation. Correlation = 0.36 (p < 0.001).