Background: Reduced temporal muscle thickness (TMT) has been discussed as a prognostic marker in IDH-wildtype glioblastoma. This retrospective multicenter study was designed to investigate whether TMT is an independent prognostic marker in newly diagnosed glioblastoma. Methods: TMT was retrospectively measured in 335 patients with newly diagnosed glioblastoma between 1 January 2014 and 31 December 2019 at the University Hospitals of Leipzig and Rostock. The cohort was dichotomized by TMT and tested for association with overall survival (OS) after 12 months by multivariate proportional hazard calculation. Results: TMT of 7.0 mm or more was associated with increased OS (46.3 ± 3.9% versus 36.6 ± 3.9%, p > 0.001). However, the sub-groups showed significant epidemiological differences. In multivariate proportional hazard calculation, patient age (HR 1.01; p = 0.004), MGMT promoter status (HR 0.76; p = 0.002), EOR (HR 0.61), adjuvant irradiation (HR 0.24) and adjuvant chemotherapy (HR 0.40; all p < 0.001) were independent prognostic markers for OS. However, KPS (HR 1.00, p = 0.31), BMI (HR 0.98, p = 0.11) and TMT (HR 1.06; p = 0.07) were not significantly associated with OS. Conclusion: TMT has not appeared as a statistically independent prognostic marker in this cohort of patients with newly diagnosed IDH-wildtype glioblastoma.

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Background Brain metastasis (BM) of colorectal cancer is a disease with a poor prognosis of only a few months survival. However, it is difficult to estimate the individual prognosis of each patient due to the lack of definitive prognosis parameters. The number of metastases and the Karnofsky performance score are known predictors for survival. We investigated whether or not the neurological performance score and the tumor volumetrics are equally suitable predictors for survival. Design All patients with histologically diagnosed BM linked to colorectal cancer between 2012 and March 2020 were reviewed. The Medical Research Council Neurological Performance Score was used to quantify neurological performance. Univariate analysis with Kaplan-Meier estimate and log-rank test was performed. Survival prediction and multivariate analysis were performed employing Cox proportional hazard regression. Results Twenty-five patients were included in our analysis with an overall survival of 4.9 months after surgery of the BM. Survival decreased in the univariate analysis with increasing postoperative neurological performance score, low Karnofsky performance score, absence of radiation therapy and radiation therapy modality. The neurological performance score is a reliable scoring parameter for estimating the prognostic course analogous to the Karnofsky performance score. Neither preoperative nor post resection residual tumor volume had any impact on overall survival in our small cohort. Conclusion Our data suggest that the postoperative neurological performance is a valuable prognostic factor for colorectal cancer patients with BM. Tumor volumetrics show no correlation to survival. Further investigations with a larger number of cases are mandatory.

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BackgroundIDH-wild-type glioblastoma (GBM) is the most frequent brain-derived malignancy. Despite intense research efforts, it is still associated with a very poor prognosis. Several parameters were identified as prognostic, including general physical performance. In neuro-oncology (NO), special emphasis is put on focal deficits and cognitive (dys-)function. The Neurologic Assessment in Neuro-Oncology (NANO) scale was proposed in order to standardize the assessment of neurological performance in NO. This study evaluated whether NANO scale assessment provides prognostic information in a standardized collective of GBM patients.MethodsThe records of all GBM patients treated between 2014 and 2019 at our facility were retrospectively screened. Inclusion criteria were age over 18 years, at least 3 months postoperative follow-up, and preoperative and postoperative cranial magnetic resonance imaging. The NANO scale was assessed pre- and postoperatively as well as at 3 months follow-up. Univariate and multivariate survival analyses were carried to investigate the prognostic value.ResultsOne hundred and thirty-one patients were included. In univariate analysis, poor postoperative neurological performance (HR 1.13, p = 0.004), poor neurological performance at 3 months postsurgery (HR 1.37, p &lt; 0.001), and neurological deterioration during follow-up (HR 1.38, p &lt; 0.001), all assessed via the NANO scale, were associated with shorter survival. In multivariate analysis including other prognostic factors such as the extent of resection, adjuvant treatment regimen, or age, NANO scale assessment at 3 months postoperative follow-up was independently associated with survival prediction (HR 1.36, p &lt; 0.001). The optimal NANO scale cutoff for patient stratification was 3.5 points.ConclusionNeurological performance assessment employing the NANO scale might provide prognostic information in patients suffering from GBM.