Temporal Muscle Thickness as a Prognostic Marker in a Real-Life Cohort of Newly Diagnosed MGMT Promoter Methylated Glioblastoma: A Multicentric Imaging Analysis

IF 3.1 2区 医学 Q2 ONCOLOGY Cancer Medicine Pub Date : 2025-04-22 DOI:10.1002/cam4.70689
Lazaros Lazaridis, Christoph Moenninghoff, Elisabeth Bumes, Dorothee Cäcilia Spille, Michael Müther, Tim Schulz, Sina Heider, Sarina Agkatsev, Teresa Schmidt, Tobias Blau, Christoph Oster, Walter Stummer, Almuth Friederike Kessler, Clemens Seidel, Oliver Grauer, Peter Hau, Yahya Ahmadipour, Ulrich Sure, Kathy Keyvani, Ulrich Herrlinger, Christoph Kleinschnitz, Martin Stuschke, Nika Guberina, Ken Herrmann, Cornelius Deuschl, Björn Scheffler, Sied Kebir, Martin Glas
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Abstract

Introduction

Prior research has identified temporal muscle thickness (TMT) as a prognostic marker in glioblastoma. Nonetheless, implementation in daily clinical practice is complicated due to the heterogeneity of previous studies. We performed a multicentric analysis aiming to validate recently proposed sex-specific cutoff values using a homogeneous cohort of newly diagnosed MGMT promoter methylated glioblastoma patients; we included a balanced control cohort for comparison.

Materials and Methods

TMT was measured at baseline using the initial preoperative/postoperative magnetic resonance images (MRIs) and in disease course using the first MRI after radiotherapy. Patients were divided by sex and TMT into “at risk of sarcopenia” or “normal muscle status.” Kaplan–Meier and multivariable Cox regression analysis was used for survival correlation.

Results

In total, n = 126 patients were included (n = 66 treated with CCNU/temozolomide, n = 60 with single-drug temozolomide). Patients with normal muscle mass at baseline had significantly prolonged survival (median overall survival: 44.2 months versus 16.7 months with CCNU/temozolomide, and 29.5 months versus 17.4 months with single-drug temozolomide) compared to those at risk of sarcopenia. In a multivariable Cox regression analysis, normal muscle mass and an initial age at diagnosis of < 50 years emerged as significant prognostic markers. Longitudinally, survival was longest in patients with lack of TMT decline over the disease course.

Discussion

This analysis confirms TMT as an important prognostic marker in glioblastoma in two real-life cohorts. However, in order to establish TMT assessment as a routine marker for patient selection and therapeutic measures, further validation in prospective controlled trials is necessary.

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颞肌厚度作为新诊断的MGMT启动子甲基化胶质母细胞瘤的预后标志物:一项多中心成像分析
导言:先前的研究已将颞肌厚度(TMT)确定为胶质母细胞瘤的预后标志物。然而,由于以往研究的异质性,在日常临床实践中的应用非常复杂。我们进行了一项多中心分析,旨在利用新诊断的 MGMT 启动子甲基化胶质母细胞瘤患者的同质队列验证最近提出的性别特异性截断值;我们还纳入了一个平衡对照队列进行比较。 材料与方法 在基线时使用最初的术前/术后磁共振成像(MRI)测量 TMT,在病程中使用放疗后的首次磁共振成像测量 TMT。根据性别和 TMT 将患者分为 "有肌肉疏松风险 "和 "肌肉状态正常 "两种。采用 Kaplan-Meier 和多变量 Cox 回归分析进行生存相关性分析。 结果 共纳入 126 例患者(66 例接受 CCNU/ 替莫唑胺治疗,60 例接受单药替莫唑胺治疗)。与有肌肉疏松症风险的患者相比,基线肌肉质量正常的患者生存期明显较长(中位总生存期:CCNU/替莫唑胺疗法为44.2个月对16.7个月,单药替莫唑胺疗法为29.5个月对17.4个月)。在多变量考克斯回归分析中,肌肉质量正常和确诊时初始年龄为 50 岁是重要的预后指标。纵向来看,病程中 TMT 没有下降的患者生存期最长。 讨论 本分析证实,在两个实际队列中,TMT 是胶质母细胞瘤的重要预后标志。然而,为了将 TMT 评估确立为选择患者和采取治疗措施的常规标志物,有必要在前瞻性对照试验中进行进一步验证。
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来源期刊
Cancer Medicine
Cancer Medicine ONCOLOGY-
CiteScore
5.50
自引率
2.50%
发文量
907
审稿时长
19 weeks
期刊介绍: Cancer Medicine is a peer-reviewed, open access, interdisciplinary journal providing rapid publication of research from global biomedical researchers across the cancer sciences. The journal will consider submissions from all oncologic specialties, including, but not limited to, the following areas: Clinical Cancer Research Translational research ∙ clinical trials ∙ chemotherapy ∙ radiation therapy ∙ surgical therapy ∙ clinical observations ∙ clinical guidelines ∙ genetic consultation ∙ ethical considerations Cancer Biology: Molecular biology ∙ cellular biology ∙ molecular genetics ∙ genomics ∙ immunology ∙ epigenetics ∙ metabolic studies ∙ proteomics ∙ cytopathology ∙ carcinogenesis ∙ drug discovery and delivery. Cancer Prevention: Behavioral science ∙ psychosocial studies ∙ screening ∙ nutrition ∙ epidemiology and prevention ∙ community outreach. Bioinformatics: Gene expressions profiles ∙ gene regulation networks ∙ genome bioinformatics ∙ pathwayanalysis ∙ prognostic biomarkers. Cancer Medicine publishes original research articles, systematic reviews, meta-analyses, and research methods papers, along with invited editorials and commentaries. Original research papers must report well-conducted research with conclusions supported by the data presented in the paper.
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