Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria
Objective: We assess the efficacy of the metabolomic profile from glioma biopsies in providing estimates of postsurgical Overall Survival in glioma patients.Methods: Tumor biopsies from 46 patients bearing gliomas, obtained neurosurgically in the period 1992–1998, were analyzed by high resolution 1H...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2019-05-01
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| Series: | Frontiers in Oncology |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fonc.2019.00328/full |
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| author | María L. Gandía-González Sebastián Cerdán Laura Barrios Pilar López-Larrubia Pablo G. Feijoó Alexis Palpan Jr. José M. Roda Juan Solivera |
| author_facet | María L. Gandía-González Sebastián Cerdán Laura Barrios Pilar López-Larrubia Pablo G. Feijoó Alexis Palpan Jr. José M. Roda Juan Solivera |
| author_sort | María L. Gandía-González |
| collection | DOAJ |
| description | Objective: We assess the efficacy of the metabolomic profile from glioma biopsies in providing estimates of postsurgical Overall Survival in glioma patients.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.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.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. |
| first_indexed | 2024-12-21T04:24:58Z |
| format | Article |
| id | doaj.art-1a649811a17b4804ba64e2390b3fdddc |
| institution | Directory Open Access Journal |
| issn | 2234-943X |
| language | English |
| last_indexed | 2024-12-21T04:24:58Z |
| publishDate | 2019-05-01 |
| publisher | Frontiers Media S.A. |
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| series | Frontiers in Oncology |
| spelling | doaj.art-1a649811a17b4804ba64e2390b3fdddc2022-12-21T19:16:04ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-05-01910.3389/fonc.2019.00328454128Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic CriteriaMaría L. Gandía-González0Sebastián Cerdán1Laura Barrios2Pilar López-Larrubia3Pablo G. Feijoó4Alexis Palpan Jr.5José M. Roda6Juan Solivera7Department of Neurosurgery, Hospital Universitario La Paz, Madrid, SpainInstitute of Biomedical Research “Alberto Sols” CSIC/UAM, Madrid, SpainDepartment of Statistics CSIC, Madrid, SpainInstitute of Biomedical Research “Alberto Sols” CSIC/UAM, Madrid, SpainDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, SpainDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, SpainDepartment of Neurosurgery, Hospital Universitario La Paz, Madrid, SpainDepartment of Neurosurgery, University Hospital Reina Sofía, Córdoba, SpainObjective: We assess the efficacy of the metabolomic profile from glioma biopsies in providing estimates of postsurgical Overall Survival in glioma patients.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.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.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.https://www.frontiersin.org/article/10.3389/fonc.2019.00328/fullclassification decision treegliomametabolomic profilehigh resolution proton magnetic resonance spectroscopyoverall survival |
| spellingShingle | María L. Gandía-González Sebastián Cerdán Laura Barrios Pilar López-Larrubia Pablo G. Feijoó Alexis Palpan Jr. José M. Roda Juan Solivera Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria Frontiers in Oncology classification decision tree glioma metabolomic profile high resolution proton magnetic resonance spectroscopy overall survival |
| title | Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria |
| title_full | Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria |
| title_fullStr | Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria |
| title_full_unstemmed | Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria |
| title_short | Assessment of Overall Survival in Glioma Patients as Predicted by Metabolomic Criteria |
| title_sort | assessment of overall survival in glioma patients as predicted by metabolomic criteria |
| topic | classification decision tree glioma metabolomic profile high resolution proton magnetic resonance spectroscopy overall survival |
| url | https://www.frontiersin.org/article/10.3389/fonc.2019.00328/full |
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