Predictive modeling of thoracic radiotherapy toxicity and the potential role of serum alpha-2-macroglobulin Journal Article

Authors: von Reibnitz, D.; Yorke, E. D.; Oh, J. H.; Apte, A. P.; Yang, J.; Pham, H.; Thor, M.; Wu, A. J.; Fleisher, M.; Gelb, E.; Deasy, J. O.; Rimner, A.
Article Title: Predictive modeling of thoracic radiotherapy toxicity and the potential role of serum alpha-2-macroglobulin
Abstract: Background: To investigate the impact of alpha-2-macroglobulin (A2M), a suspected intrinsic radioprotectant, on radiation pneumonitis and esophagitis using multifactorial predictive models. Materials and Methods: Baseline A2M levels were obtained for 258 patients prior to thoracic radiotherapy (RT). Dose-volume characteristics were extracted from treatment plans. Spearman's correlation (Rs) test was used to correlate clinical and dosimetric variables with toxicities. Toxicity prediction models were built using least absolute shrinkage and selection operator (LASSO) logistic regression on 1,000 bootstrapped datasets. Results: Grade ≥2 esophagitis and pneumonitis developed in 61 (23.6%) and 36 (14.0%) patients, respectively. The median A2M level was 191 mg/dL (range: 94–511). Never/former/current smoker status was 47 (18.2%)/179 (69.4%)/32 (12.4%). We found a significant negative univariate correlation between baseline A2M levels and esophagitis (Rs = −0.18/p = 0.003) and between A2M and smoking status (Rs = 0.13/p = 0.04). Further significant parameters for grade ≥2 esophagitis included age (Rs = −0.32/p < 0.0001), chemotherapy use (Rs = 0.56/p < 0.0001), dose per fraction (Rs = −0.57/p < 0.0001), total dose (Rs = 0.35/p < 0.0001), and several other dosimetric variables with Rs > 0.5 (p < 0.0001). The only significant non-dosimetric parameter for grade ≥2 pneumonitis was sex (Rs = −0.32/p = 0.037) with higher risk for women. For pneumonitis D15 (lung) (Rs = 0.19/p = 0.006) and D45 (heart) (Rs = 0.16/p = 0.016) had the highest correlation. LASSO models applied on the validation data were statistically significant and resulted in areas under the receiver operating characteristic curve of 0.84 (esophagitis) and 0.78 (pneumonitis). Multivariate predictive models did not require A2M to reach maximum predictive power. Conclusion: This is the first study showing a likely association of higher baseline A2M values with lower risk of radiation esophagitis and with smoking status. However, the baseline A2M level was not a significant risk factor for radiation pneumonitis. © Copyright © 2020 von Reibnitz, Yorke, Oh, Apte, Yang, Pham, Thor, Wu, Fleisher, Gelb, Deasy and Rimner.
Keywords: toxicity; predictive modeling; radioprotection; thoracic radiation; alpha-2-macroglobulin (a2m)
Journal Title: Frontiers in Oncology
Volume: 10
ISSN: 2234-943X
Publisher: Frontiers Media S.A.  
Date Published: 2020-08-06
Start Page: 1395
Language: English
DOI: 10.3389/fonc.2020.01395
PROVIDER: scopus
PMCID: PMC7423838
PUBMED: 32850450
Notes: Article -- Export Date: 1 September 2020 -- Source: Scopus
Citation Impact
MSK Authors
  1. Andreas Rimner
    392 Rimner
  2. Abraham Jing-Ching Wu
    292 Wu
  3. Ellen D Yorke
    390 Yorke
  4. Jung Hun Oh
    152 Oh
  5. Joseph Owen Deasy
    410 Deasy
  6. Martin Fleisher
    298 Fleisher
  7. Jie Yang
    43 Yang
  8. Aditya Apte
    158 Apte
  9. Hai Pham
    41 Pham
  10. Maria Elisabeth Thor
    104 Thor
  11. Emily Helene Gelb
    24 Gelb