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Assessment of overall survival in glioma patients as predicted by metabolomic criteria
- Source :
- Frontiers in Oncology, Vol 9 (2019), Digital.CSIC. Repositorio Institucional del CSIC, instname, Frontiers in Oncology
- Publication Year :
- 2019
- Publisher :
- Frontiers Media, 2019.
-
Abstract
- © 2019 Gandía-González, Cerdán, Barrios, López-Larrubia, Feijoó, Palpan, Roda and Solivera.<br />[Objective]: We assess the efficacy of the metabolomic profile from glioma biopsies in providing estimates of postsurgical Overall Survival in glioma patients.<br />[Methods]: Tumor biopsies from 46 patients bearing gliomas, obtained neurosurgically in the period 1992–1998, were analyzed by high resolution 1H magnetic resonance spectroscopy (HR- 1H MRS), following retrospectively individual postsurgical Overall Survival up to 720 weeks.<br />[Results]: The Overall Survival profile could be resolved in three groups; Short (shorter than 52 weeks, n = 19), Intermediate (between 53 and 364 weeks, n = 19) or Long (longer than 365 weeks, n = 8), respectively. Classical histopathological analysis assigned WHO grades II–IV to every biopsy but notably, some patients with low grade glioma depicted unexpectedly Short Overall Survival, while some patients with high grade glioma, presented unpredictably Long Overall Survival. To explore the reasons underlying these different responses, we analyzed HR-1H MRS spectra from acid extracts of the same biopsies, to characterize the metabolite patterns associated to OS predictions. Poor prognosis was found in biopsies with higher contents of alanine, acetate, glutamate, total choline, phosphorylcholine, and glycine, while more favorable prognosis was achieved in biopsies with larger contents of total creatine, glycerol-phosphorylcholine, and myo-inositol. We then implemented a multivariate analysis to identify hierarchically the influence of metabolomic biomarkers on OS predictions, using a Classification Regression Tree (CRT) approach. The CRT based in metabolomic biomarkers grew up to three branches and split into eight nodes, predicting correctly the outcome of 94.7% of the patients in the Short Overall Survival group, 78.9% of the patients in the Intermediate Overall Survival group, and 75% of the patients in the Long Overall Survival group, respectively.<br />[Conclusion]: Present results indicate that metabolic profiling by HR-1H MRS improves the Overall Survival predictions derived exclusively from classical histopathological gradings, thus favoring more precise therapeutic decisions.<br />This work was supported in part by grants PI2017/00361 from Instituto de Investigación Carlos III to JR, grant B2017/BMD-3688 from the Community of Madrid to JR and SC, and grant PI-0143-2016 from the Regional Ministry of Health of the Regional Government of Andalucía to JS.
- Subjects :
- 0301 basic medicine
Oncology
Cancer Research
medicine.medical_specialty
Poor prognosis
Multivariate analysis
overall survival
lcsh:RC254-282
03 medical and health sciences
0302 clinical medicine
Metabolomics
Internal medicine
Glioma
glioma
Biopsy
medicine
Overall survival
Metabolomic profile
High resolution proton magnetic resonance spectroscopy
Original Research
classification decision tree
Classification decision tree
medicine.diagnostic_test
Phosphorylcholine
business.industry
Total creatine
metabolomic profile
medicine.disease
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
high resolution proton magnetic resonance spectroscopy
030104 developmental biology
030220 oncology & carcinogenesis
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Frontiers in Oncology, Vol 9 (2019), Digital.CSIC. Repositorio Institucional del CSIC, instname, Frontiers in Oncology
- Accession number :
- edsair.doi.dedup.....df31454f86b521dfb51246e69173d527