Cargando…
The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival
Glioblastoma is a devastating malignancy with a dismal survival rate and median survival time of 14 months. Currently, the biomarkers for glioblastoma are mostly molecular and include EGFRvIII, ATRX, PTEN, IDH1, MGMT, and others. These prognostic tumor biomarkers are obtained through a surgical biop...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389861/ https://www.ncbi.nlm.nih.gov/pubmed/34462698 http://dx.doi.org/10.7759/cureus.16675 |
_version_ | 1783742958084816896 |
---|---|
author | Mrowczynski, Oliver D Yang, Ae L Liao, Jiangang Rizk, Elias |
author_facet | Mrowczynski, Oliver D Yang, Ae L Liao, Jiangang Rizk, Elias |
author_sort | Mrowczynski, Oliver D |
collection | PubMed |
description | Glioblastoma is a devastating malignancy with a dismal survival rate and median survival time of 14 months. Currently, the biomarkers for glioblastoma are mostly molecular and include EGFRvIII, ATRX, PTEN, IDH1, MGMT, and others. These prognostic tumor biomarkers are obtained through a surgical biopsy and thus are not easily attainable. Clinicians would benefit from a robust, non-invasive, and readily available indicator for early diagnosis and accurate prognostication for glioblastoma patients. In this study, we assessed whether specific patient symptoms could provide an early diagnosis of glioblastoma. Further, we also assessed if any patient symptomatology could provide clinicians with the ability to prognosticate patient survival more accurately. We retrospectively reviewed the clinical data for 218 patients. We determined whether symptoms including headache, weakness, seizure, memory loss/confusion, visual changes, speech changes, and loss of consciousness led to a patient being diagnosed earlier and if any of these symptoms predicted diminished patient survival. Our study determined that weakness and memory loss/confusion were the symptoms that predicted diminished survival, and weakness alone was the symptom that predicted an earlier diagnosis. This study further elucidates the complexities of glioblastoma and provides clinicians with more data for their patients when discussing prognostication after diagnosis of glioblastoma. |
format | Online Article Text |
id | pubmed-8389861 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-83898612021-08-29 The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival Mrowczynski, Oliver D Yang, Ae L Liao, Jiangang Rizk, Elias Cureus Neurosurgery Glioblastoma is a devastating malignancy with a dismal survival rate and median survival time of 14 months. Currently, the biomarkers for glioblastoma are mostly molecular and include EGFRvIII, ATRX, PTEN, IDH1, MGMT, and others. These prognostic tumor biomarkers are obtained through a surgical biopsy and thus are not easily attainable. Clinicians would benefit from a robust, non-invasive, and readily available indicator for early diagnosis and accurate prognostication for glioblastoma patients. In this study, we assessed whether specific patient symptoms could provide an early diagnosis of glioblastoma. Further, we also assessed if any patient symptomatology could provide clinicians with the ability to prognosticate patient survival more accurately. We retrospectively reviewed the clinical data for 218 patients. We determined whether symptoms including headache, weakness, seizure, memory loss/confusion, visual changes, speech changes, and loss of consciousness led to a patient being diagnosed earlier and if any of these symptoms predicted diminished patient survival. Our study determined that weakness and memory loss/confusion were the symptoms that predicted diminished survival, and weakness alone was the symptom that predicted an earlier diagnosis. This study further elucidates the complexities of glioblastoma and provides clinicians with more data for their patients when discussing prognostication after diagnosis of glioblastoma. Cureus 2021-07-27 /pmc/articles/PMC8389861/ /pubmed/34462698 http://dx.doi.org/10.7759/cureus.16675 Text en Copyright © 2021, Mrowczynski et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Neurosurgery Mrowczynski, Oliver D Yang, Ae L Liao, Jiangang Rizk, Elias The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title | The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title_full | The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title_fullStr | The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title_full_unstemmed | The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title_short | The Potential of Glioblastoma Patient Symptoms to Diagnose and Predict Survival |
title_sort | potential of glioblastoma patient symptoms to diagnose and predict survival |
topic | Neurosurgery |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389861/ https://www.ncbi.nlm.nih.gov/pubmed/34462698 http://dx.doi.org/10.7759/cureus.16675 |
work_keys_str_mv | AT mrowczynskioliverd thepotentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT yangael thepotentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT liaojiangang thepotentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT rizkelias thepotentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT mrowczynskioliverd potentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT yangael potentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT liaojiangang potentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival AT rizkelias potentialofglioblastomapatientsymptomstodiagnoseandpredictsurvival |