Francesco Pasqualetti1,2, Michela Gabelloni3, Alessandra Gonnelli4, Lorenzo Faggioni3, Martina Cantarella4, Sabrina Montrone4, Giovanni Gadducci4, Noemi Giannini4, Nicola Montemurro5, Roberto Mattioni4, Paolo Perrini5, Riccardo Morganti6, Mirco Cosottini7, Emanuele Neri3, Fabiola Paiar4. 1. Oncology Department, Oxford University, Roosevelt Drive, Oxford, OX3 7DQ, UK. francesco.pasqualetti@oncology.ox.ac.uk. 2. Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy. francesco.pasqualetti@oncology.ox.ac.uk. 3. Radiology Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy. 4. Radiation Oncology Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy. 5. Neurosurgery Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy. 6. Statistic Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy. 7. Neuroradiology Unit, Azienda Ospedaliero Universitaria Pisana, Via Roma 67, 56123, Pisa, Italy.
Abstract
BACKGROUND: There is an unmet need for new biomarkers able to predict both the outcomes of up-front therapy and the compliance of elderly patients diagnosed with glioblastoma. For this purpose, temporal muscle thickness is a promising tool to be investigated. METHODS: Data from 52 glioblastoma patients older than 65 years, treated with post-operative radio or radio-chemotherapy and referred to Pisa University Hospital, were retrieved. The thickness of temporal muscle (TMT) was divided into quartiles and correlated with overall survival (Our primary endpoint). Survival curves were calculated using Kaplan-Meier method, and log-rank test was used to evaluate the differences between curves. RESULTS: Patients in the lower quartile of TMT, with TMT thinner than 7 mm, have survived longer; both univariate and multivariate analyses showed a statistically significant correlation between TMT and overall survival (P = 0.012 and P = 0.003, respectively). CONCLUSION: Future prospective and more extensive studies focused on elderly glioblastoma patients are needed to confirm the role of TMT as prognostic value on OS and to help explaining this association.
BACKGROUND: There is an unmet need for new biomarkers able to predict both the outcomes of up-front therapy and the compliance of elderly patients diagnosed with glioblastoma. For this purpose, temporal muscle thickness is a promising tool to be investigated. METHODS: Data from 52 glioblastoma patients older than 65 years, treated with post-operative radio or radio-chemotherapy and referred to Pisa University Hospital, were retrieved. The thickness of temporal muscle (TMT) was divided into quartiles and correlated with overall survival (Our primary endpoint). Survival curves were calculated using Kaplan-Meier method, and log-rank test was used to evaluate the differences between curves. RESULTS: Patients in the lower quartile of TMT, with TMT thinner than 7 mm, have survived longer; both univariate and multivariate analyses showed a statistically significant correlation between TMT and overall survival (P = 0.012 and P = 0.003, respectively). CONCLUSION: Future prospective and more extensive studies focused on elderly glioblastoma patients are needed to confirm the role of TMT as prognostic value on OS and to help explaining this association.
Authors: Julia Furtner; Els Genbrugge; Thierry Gorlia; Martin Bendszus; Martha Nowosielski; Vassilis Golfinopoulos; Michael Weller; Martin J van den Bent; Wolfgang Wick; Matthias Preusser Journal: Neuro Oncol Date: 2019-12-17 Impact factor: 12.300
Authors: Hee Seung Lee; Si Young Kim; Moon Jae Chung; Jeong Youp Park; Seungmin Bang; Seung Woo Park; Si Young Song Journal: Nutr Cancer Date: 2019-04-07 Impact factor: 2.900
Authors: G S Bauman; L E Gaspar; B J Fisher; E C Halperin; D R Macdonald; J G Cairncross Journal: Int J Radiat Oncol Biol Phys Date: 1994-07-01 Impact factor: 7.038
Authors: Michael Weller; Martin van den Bent; Matthias Preusser; Emilie Le Rhun; Jörg C Tonn; Giuseppe Minniti; Martin Bendszus; Carmen Balana; Olivier Chinot; Linda Dirven; Pim French; Monika E Hegi; Asgeir S Jakola; Michael Platten; Patrick Roth; Roberta Rudà; Susan Short; Marion Smits; Martin J B Taphoorn; Andreas von Deimling; Manfred Westphal; Riccardo Soffietti; Guido Reifenberger; Wolfgang Wick Journal: Nat Rev Clin Oncol Date: 2020-12-08 Impact factor: 66.675
Authors: Young Il Kim; Ja Young Shin; Seung Ho Yang; Hyun Ho Kim; Byoung Yong Shim; Stephen Ahn Journal: Curr Oncol Date: 2022-09-08 Impact factor: 3.109