| Literature DB >> 29900007 |
Olga H Toro-Salazar1,2, Ji Hyun Lee1, Kia N Zellars3, Paige E Perreault3, Kathryn C Mason3, Zhu Wang1, Kan N Hor4, Eileen Gillan1, Caroline J Zeiss5, Daniel M Gatti6, Brooke T Davey1, Shelby Kutty7, Bruce T Liang2, Francis G Spinale3.
Abstract
BACKGROUND: Anthracycline induced cardiomyopathy is a major cause of mortality and morbidity among pediatric cancer survivors. It has been postulated that oxidative stress induction and inflammation may play a role in the pathogenesis of this process. Accordingly, the present study performed an assessment of biomarker profiles and functional imaging parameters focused upon potential early determinants of anthracycline induced cardiomyopathy.Entities:
Keywords: Anthracyclines; Cardiotoxicity; Global systolic function; Myocardial strain
Year: 2018 PMID: 29900007 PMCID: PMC5995570 DOI: 10.1186/s40959-018-0030-5
Source DB: PubMed Journal: Cardiooncology ISSN: 2057-3804
Fig. 1Study Cohort and Diagram. CMRI: cardiac magnetic resonance imaging; ALL: acute lymphocytic leukemia; AML: acute myeloid leukemia. Twenty patients (10–22 years) were prospectively enrolled between January 2013 and November 2014. Seventeen subjects completed visit 1 (30–60 mg/m2) and thirteen completed the remaining study visits (125–175 mg/m2, 200–250 mg/m2, 275–325 mg/m2, after max AC dose and 1 year after max AC dose)
Demographics and other information of study population at first visit
| Study group ( | Subjects who withdrew ( |
| Control group ( |
| |
|---|---|---|---|---|---|
| Age at diagnosis | 15.7 (13.4–17.7) | 15 (12–16.1) | .60 | 17 (13–27) | .28 |
| Female | 8 (61.5) | 2 (28.6) | .35 | 32 (53.3) | .56 |
| Total cumulative anthracyclines (g/m2) | 200 (158–200) | NA | NA | ||
| Vinca Alkaloids | 9 (69.2) | NA | NA | ||
| Previous bone marrow transplant | 0 (0) | NA | NA | ||
| Previous heart disease | 3 (23.1) | NA | NA | ||
| Height (cm) | 161 (153–170.2) | NA | NA | ||
| Weight (kg) | 54 (40–84.8) | NA | NA | ||
| BMI (kg/m2) | 20.6 (17.9–22) | NA | NA | ||
| Systolic pressure (mmHg) | 108 (106–117) | NA | NA | ||
| Diastolic pressure (mmHg) | 64 (55–66) | NA | NA | ||
| Number of transfusions ( | 10 (0–49) | NA | NA | ||
| Cancer Diagnosis | .03 | NA | |||
| ALL | 4 (30.8) | 0 (0) | NA | ||
| Hodgkin’s Lymphoma | 6 (46.2) | 1 (14.3) | NA | ||
| AML | 1 (7.7) | 2 (28.6) | NA | ||
| Osteosarcoma | 2 (15.4) | 1 (14.3) | NA | ||
| Other | 0 (0) | 3 (42.9) | NA |
n number of subjects, SD standard deviation, BMI body mass index, ALL acute lymphoblastic leukemia, AML acute myeloblastic leukemia
All p-values are compared to the study group (n = 13) only
LV Parameter trends (medians) by Cardiac Magnetic Resonance Imaging
| Cumulative AC Dose (mg/m2) | High dose group ( | Low dose group ( | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 30–60 | 125–175 | 200–250 | 275–325 | After Max | 1 Year After |
| 30–60 | 125–175 | After Max | 1 Year After | p | |
| LV EF (%) | 66.8 | 61.2 | 58.7 | 57.6 | 55.8 | 55.3 |
| 62.6 | 60.8 | 60.4 | 57.9 | .11 |
| LV EF z score | 0.57 | −0.62 | −1.1 | −1.4 | −1.7 | −1.9 |
| −0.3 | −0.6 | −0.8 | −1.3 | .11 |
| LV EVDI (ml/m2) | 96.6 | 85.3 | 100.6 | 97.1 | 74.8 | 94.1 | .22 | 75.6 | 78.3 | 73.9 | 78.3 | .56 |
| LV ESVI (ml/m2) | 23.5 | 33.2 | 40.3 | 41.1 | 31.8 | 41.5 | .30 | 29.3 | 30.7 | 29.9 | 33.0 | .58 |
| LV SV (ml) | 132.3 | 88.5 | 87 | 85.6 | 77.5 | 99.2 | .35 | 73.4 | 67.5 | 73.9 | 67.6 | .93 |
| LV Mass (g/m2) | 133 | 107.1 | 135 | 128 | 122 | 135.8 | .62 | 88.9 | 79.0 | 83 | 87.0 | .87 |
| LV Mass z score | 0.4 | 0.7 | 0.2 | 0.5 | 0.3 | 0.6 | .42 | 0.6 | 0 | −0.2 | −0.2 |
|
| LV Mass Volume (g/ml) | 0.7 | 0.8 | 0.8 | 0.8 | 0.9 | 0.8 | .26 | 0.8 | 0.8 | 0.7 | 0.7 | .19 |
| LV Mass Volume z score | −1.0 | 0.5 | −0.3 | −0.5 | 0.9 | −0.4 | .54 | 0.5 | 0.7 | 0.3 | 0.2 | .28 |
| ESFS (g/cm2) | 99 | 89.5 | 115 | 115 | 114 | 122 |
| 109 | 107.5 | 99 | 104 | .97 |
| ESFS z score | 2.2 | 1.4 | 3.67 | 3.63 | 3.45 | 4.18 |
| 3.3 | 3.1 | 2.3 | 2.8 | .83 |
| εcc (%) | −22.5 | −20.3 | −19.1 | −18.1 | −16.3 | −18.9 |
| −21.1 | −19.0 | −19.3 | − 19.9 | .45 |
| ειι (%) | − 19.1 | −19.3 | − 16.2 | −15.8 | − 14.7 | −17.4 |
| −18.0 | − 16.0 | −15.5 | − 16.4 | .56 |
LV left ventricular, CMR cardiac magnetic resonance imaging, n number of subjects, AC anthracycline, EF ejection fraction, EDVI end diastolic volume index, ESVI end systolic volume index, SV stroke volume, ESFS end systolic fiber stress; εcc peak global circumferential strain magnitude; ειι: Peak global longitudinal strain magnitude. All patients in the low dose group had diagnosis of leukemia or lymphoma with Anthracycline cumulative doses of 175.2 ± 21.4 compared to 447.3 ± 4.6 (p < .0001) in the high dose group (solid tumor diagnosis)
Bold numbers indicate statistically significant cardiac magnetic resonance imaging parameters
Fig. 2Schematic diagram demonstrating the three dimensional circumferential-radial-longitudinal coordinate system used for strain calculation. ERR; Peak mid radial strain magnitude; ECC: Peak global circumferential strain magnitude; ELL: Peak global longitudinal strain magnitude. Each element of strain is, simply, a measurement of the fractional or the percent change of length in a specific direction where Lo is the original fiber length before tag deformation and L is the current length
Multilevel linear regression (biomarkers to changes in LV Ejection Fraction from V1 to V6)
| Coef. | SE | DF | t | p | |
|---|---|---|---|---|---|
| εcc (%) | −1.5540 | 0.3924 | 35 | −3.9605 | <.001 |
| ESV (ml) | −0.2496 | 0.0446 | 43 | −5.5980 | <.001 |
| ESFS (g/cm2) | −0.1584 | 0.0451 | 43 | −3.5114 | .0011 |
| MMP7 (pg/ml) | −0.0014 | 0.0006 | 43 | −2.4592 | .018 |
| sIL 4R (pg/ml) | 0.0034 | 0.0014 | 44 | 2.4405 | .0188 |
| sRage (pg/ml) | −0.0502 | 0.0216 | 44 | −2.3234 | .0248 |
| sTNFRI (pg/ml) | −0.0032 | 0.0015 | 44 | −2.1340 | .0385 |
| sTNFRII (pg/ml) | −0.0008 | 0.0003 | 44 | −2.4872 | .0167 |
| sVEGFR3 (pg/ml) | −0.0058 | 0.0022 | 44 | −2.6162 | .0121 |
V1: first visit; V6: 1 year after maximal anthracycline therapy; εcc: Peak global longitudinal strain magnitude; ESV: End systolic volume; ESFS: End systolic fiber stress; MMP: Metalloproteinase; sILR: soluble interleukin receptor; sRage: receptor for advanced glycation end products; sTNFR: soluble receptor for TNF; sVEGFR: receptors for vascular endothelial growth factor
Fig. 3Plasma profiling for specific determinants of inflammation and signaling. a Plasma profiling for specific determinants of inflammation and ECM remodeling were examined in referent normal subjects and those undergoing initial AC treatment, designated here as Visit 1 in tabular format. The plasma TIMP-1 and 2 levels at this AC treatment time point were not different from referent controls, and while IL-10 and IL-8/IL-10 ratios fell in the AC treatment group at Visit 1, these did not reach statistical significance. b Due to the high incidence of plasma TIMP-3 and TIMP-4 levels were fell below analytical detection limits, a categorical analysis was performed using a Chi Square analysis. A significant shift in the proportion of detectable TIMP-3 and TIMP-4 in plasma samples taken from the initial AC treatment time point occurred (*p < 0.05). c In contrast to the analyte shown in Table A, significant shifts in plasma MMP-2, − 7 and − 9 occurred at AC treatment Visit 1 when compared to referent control values (*p < 0.05)
Fig. 4Plasma profiling for specific determinants of inflammation and signaling. A number of inflammatory signaling pathways were profiled in plasma samples taken from age matched referent normal subjects and at the initial visit following AC treatment- identified as Visit 1. While robust signals for the soluble IL, TNF and VEGF receptors were detected in both referent normal and Visit 1 samples many soluble receptor analytes were similar between groups and summarized in Table A. On the other hand, specific soluble receptors/pathways were significantly different from referent control values and are shown in Figure 2-2B. These included the soluble receptors for IL-1, -2, and -4. A relative reduction in sRage and sVEGFR3 occurred in Visit 1 samples with an increase in Sgp130. (*p < 0.05 vs Visit 1 values). Normal: referent normal; MMP-2: Matrix metallopeptidase 2; MMP-7: Matrix metallopeptidase 7; MMP-9: Matrix metallopeptidase 9; IL-8: Interleukin 8; sVEGFR3: Fms-related tyrosine kinase 4; sgp130: Interleukin 6 signal transducer; sIL-1RII: Interleukin 1 receptor, type II; sIL-2Ra: Interleukin 2 receptor, alpha; sIL-4R: Interleukin 4 receptor
Fig. 5Plasma profiling changes from Visit 1 to last available visit in AC treated patients. The relative change in ECM and inflammatory pathways were computed as a function of Visit 1 and the final visit in the AC treated patients. Those with a significant shift from Visit 1 are shown here and identify that continued shifts in determinants of inflammatory signaling and ECM remodeling occurred at later AC treatment time points. (*p < 0.05 vs Visit 1 values)