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Purpose: MGMT promoter methylation is a key predictive biomarker for response to alkylating agents in glioblastoma. However, there is no consensus regarding optimal analytical method or cut-off. This study aimed to define a clinically relevant survival-based cut-off value for MGMT using a standardized pyrosequencing assay.

Methods: Patients from five Swedish university hospitals with MGMT promoter methylation status analyzed using the Therascreen MGMT Pyro Kit, investigating CpGs 76–79, were identified. Glioblastoma patients treated with radiotherapy and concomitant temozolomide were selected from the Swedish CNS Tumor Registry. Quantitative MGMT status, both mean value and percentage of methylation for each individual CpG, was analyzed using an unsupervised bimodal normal mixture model and a survival-informed approach adjusted for established prognostic factors.

Results: A total of 451 patients were included. The unsupervised model identified a cut-off at ≥ 11% for methylated MGMT, whereas the supervised, survival-informed analysis defined a cut-off for unmethylated tumors at ≤ 8%. A small intermediate gray zone (> 8% to < 11%) was observed. No individual CpG provided superior predictive performance compared to the mean of all CpGs.

Conclusion: A clinically relevant, survival informed three-tier classification of MGMT promoter methylation is proposed for the pyrosequencing kit analyzing CpGs 76–79 in glioblastoma. A threshold of ≤ 8% identifies a subgroup with truly unmethylated tumors, while ≥ 11% defines a clearly methylated group. The intermediate range represents a gray zone. These cut-offs support individualized therapy by improving clinically relevant stratification and facilitate future clinical trials focusing on patients with truly unmethylated MGMT.

Objective: To map real-world management of paediatric differentiated thyroid carcinoma (DTC) across Europe and identify targets for harmonization.

Design: Cross-sectional, web-based survey of centres providing paediatric DTC care.

Setting & Participants: One consolidated response per centre was requested from a clinician overseeing paediatric DTC. The instrument covered centre profile/multidisciplinary tumour (MDT) board organization; staging and guideline use; risk stratification and dynamic response; diagnostics; surgery/lymph node management; radioactive iodine therapy (RAIT) policy and activity selection; and thyroid-stimulating hormone targets, follow-up, shared-care/transition. Analyses were descriptive at centre level.

Results: Forty-two centres from 18 countries participated in the survey. Response denominators varied by item. Among responding centres, ≈75% were university or academic hospitals, ≈70% used a paediatric age cut-off of ≤18 years, and ≈60% reported having a dedicated MDT board. Staging and guideline use were heterogeneous: centres most often reported mixed or centre-specific guidance, followed by the American Thyroid Association (ATA) 2015 guideline, national guidelines, and the European Thyroid Association (ETA) 2022 guideline. Dynamic response-to-therapy categories were commonly used. For unilateral presumed low-risk disease, hemithyroidectomy was the usual initial surgery in approximately two-thirds to three-quarters of centres, whereas total thyroidectomy was less common. For low-risk patients, RAIT policy were split between de-escalation and risk-adapted use. When administered, RAIT activity was determined using weight-based, dosimetric, or fixed empirical approaches. Country-level patterns suggested clustering around ETA-leaning, ATA-leaning, and national guideline frameworks.

Conclusions: Across Europe, centres broadly endorse risk-adapted care but diverge at key decision nodes—extent of surgery, formal risk framework, and RAIT in low-risk disease—reflecting guidance plurality and organizational context. Leveraging existing infrastructures offers pragmatic avenues to reduce unwarranted variation while generating paediatric-specific evidence to refine recommendations.

Background: Glioblastoma is the most aggressive and malignant brain tumor, characterized by a high degree of heterogeneity, invasiveness, and resistance to treatment. Patients with glioblastoma have a very poor prognosis despite multimodal interventions. In this study, we investigated how 18F-fluorothymidine (18F-FLT) PET combined with contrast-enhanced MRI and blood metabolomics can contribute to evaluate prognosis and treatment response for patients with glioblastoma.

Methods: Patients, scheduled for surgery due to suspected high-grade glioma were included in this clinical study and underwent four 18F-FLT-PET/MRI examinations prior to surgery and during standard treatment. Blood samples were collected and analyzed by metabolomics. Patients were grouped according to survival as long-time survivors (>3 years) and short-time survivors (<500 days).

Results: Both 2 and 6 weeks into treatment, short-time survivors displayed a significantly larger tumor volume than long-time survivors. When comparing MRI findings during treatment, long-time survivors displayed a substantial tumor decrease, whereas the short-time survivors showed minor or no effect. Regarding 18F-FLT-PET the results were not as unambiguous. Furthermore, there was a clear and significant separation in the metabolomic pattern in blood between the survival groups and across treatment time points.

Conclusions: MRI measures of tumor volume and growth during treatment appear to be prognostic clinical factors that affect outcome. Metabolomic patterns in blood differ significantly between the defined survival groups and may serve as support for an early forecast of prognosis. We also observe a clear separation in metabolite levels between different time points during treatment, which likely reflects treatment effects.

Purpose: Although sociodemographic factors such as socioeconomic status (SES), travel time to health care, cohabitation status, and region of residence are observed to influence incidence and survival for several types of cancers, it is unclear whether similar effects have been observed in patients with glioma. This study investigates whether these factors affect survival for glioma patients.

Methods: In this retrospective study, the Swedish National Quality Registry for Brain Tumors was used to identify 1,276 patients with glioma WHO grade I–IV for whom data were deposited between 2009 and 2013. The RISK North database, which links data from the National Cancer Quality Register with citizen demographic data from the Longitudinal Integration Database for Health Insurance and Labor Market Studies (LISA), the Total Population Registry (TPR), and the Geography Database (GD), was utilized to assess survival in patients with glioma in relation to education level, cohabitation status, travel time to regional hospitals, and region of residence.

Results: In the multivariable analysis, longer survival was observed among WHO grade III-IV glioma patients with higher education level (middle school (ref) HR: 1, high school HR: 0.81 CI [0.67–0.98], p = 0.033; university/college HR: 0.81 CI [0.66–1.00], p = 0.048). Survival was not associated with travel time, cohabitation status, or region of residence in the multivariable survival analysis.

Conclusion: Low education level was associated with reduced survival for patients with glioma WHO grade III and IV in multivariable survival analyses, but no differences in survival were found in relation to travel time, cohabitation status, or region of residence.

The aim of the present study was to investigate if use of antidepressants is related to the risk of developing lower (WHO grade 2-3) and higher grade (WHO grade 4) glioma. A registry based case-control study was performed using 1283 glioma cases and 6400 age-, sex- and geographically matched controls, diagnosed in Sweden 2009-2013. Conditional logistic regression was used to analyze whether Selective Serotonin Reuptake Inhibitors (SSRIs) or non-SSRIs were associated with the risk of developing lower- or higher-grade glioma in the study population. Our results show that use of antidepressant medication was not associated with the risk of developing glioma. We also performed a meta-analysis in which the dataset from the present study was combined with results from two previous epidemiological studies to answer the same questions. The meta-analysis showed a modest risk reduction of developing glioma in relation to antidepressant treatment (OR 0.90 [95% CI 0.83-0.97]), when all glioma subgroups and all forms of antidepressant medications were combined. In conclusion, it remains possible that antidepressants may have common monoaminergic mechanism(s) that reduce the risk of developing glioma.

Background: Depression and treatment with antidepressant medication is common in patients with malignant glioma. However, the extent to which antidepressants may affect the disease is not fully understood. Therefore, the purpose of the present study was to investigate possible associations between treatment with antidepressant medication and survival in glioma patients.

Methods: We performed a registry-based cohort study including 1231 patients with malignant glioma (WHO grade 2, 3 and 4) having undergone surgery, and 6400 matched controls without glioma. All data was extracted from the RISK North database, which contains information from multiple national population-based registries in Sweden.

Results: Treatment with antidepressants is more common in patients with malignant glioma (27%), compared to controls (16%), p<.001. Treatment with antidepressants after surgery for glioma was significantly associated with poorer survival. These effects were observed both for selective serotonin reuptake inhibitors (SSRIs) and non-SSRIs. In grade 4 glioma, SSRI treatment was associated with a HR of 3.32 (95% CI 2.69–4.10, p<.001), and non-SSRI treatment a HR of 3.54 (95% CI 2.52–4.99, p<.001), compared to glioma patients without antidepressants. In grade 2-3 glioma, the HR for SSRI treatment was 3.26 (95% CI 2.19–4.85, p<.001), and for non-SSRI treatment 7.71 (95% CI 4.22-14.12, p<.001).

Conclusions: Our results demonstrate a negative association between antidepressant medication and survival in glioma. Further research will be needed to clarify causation.

Thyroid cancer (TC) is substantially more common in women than in men, pointing to a possible role of sex steroid hormones. We investigated the association between circulating sex steroid hormones, sex hormone binding globulin (SHBG) and the risk of differentiated TC in men and women within the European Prospective Investigation into Cancer and nutrition (EPIC) cohort. During follow-up, we identified 333 first primary incident cases of differentiated TC (152 in pre/peri-menopausal women, 111 in post-menopausal women, and 70 in men) and 706 cancer-free controls. Women taking exogenous hormones at blood donation were excluded. Plasma concentrations of testosterone, androstenedione, dehydroepiandrosterone, estradiol, estrone and progesterone (in pre-menopausal women only) were performed using liquid chromatography/mass spectrometry method. SHBG concentrations were measured by immunoassay. Odds ratios (ORs) were estimated using conditional logistic regression models adjusted for possible confounders. No significant associations were observed in men and postmenopausal women, while a borderline significant increase in differentiated TC risk was observed with increasing testosterone (adjusted OR T3 vs T1: 1.68, 95% CI: 0.96–2.92, p_trend =.06) and androstenedione concentrations in pre/perimenopausal women (adjusted OR T3 vs T1: 1.78, 95% CI: 0.96–3.30, p_trend =.06, respectively). A borderline decrease in risk was observed for the highest progesterone/estradiol ratio (adjusted OR T3 vs T1: 0.54, 95% CI: 0.28–1.05, p_trend =.07). Overall, our results do not support a major role of circulating sex steroids in the etiology of differentiated TC in post-menopausal women and men but may suggest an involvement of altered sex steroid production in pre-menopausal women.

Background: Since the first version of the dietary inflammatory index (DII®) developed in the past decade, several other versions have been developed. However, to date no study has attempted to compare these versions with respect to their associations with biomarkers of inflammation.

Objective: We aimed to investigate the relationship between four dietary inflammatory scores [DII, two energy-adjusted derivatives (E-DII and E-DIIr), and the Inflammatory Score of the Diet (ISD)], and circulating levels of several inflammatory markers and adipokines.

Methods: This study included 17 637 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort with at least one marker of inflammation measured in blood. Associations between the four scores and C-reactive protein (CRP), interleukin (IL)6, IL10, IL1RA, tumor necrosis factor-α (TNFα), soluble tumor necrosis factor receptor-1 (sTNFR1), sTNFR2, leptin, soluble leptin receptor (sLeptin R), adiponectin, and High Molecular Weight (HMW) adiponectin were evaluated using multivariable linear regressions adjusted for potential confounders.

Results: Positive associations were observed between the four dietary inflammatory scores and levels of CRP, IL6, sTNFR1, sTNFR2 and leptin. However, only the DII and the ISD were positively associated with IL1RA levels and only the DII and the E-DIIr were positively associated with TNFα levels. The proportion of variance of each biomarker explained by the scores was lower than 2%, which was equivalent to the variance explained by smoking status but much lower than that explained by body mass index.

Conclusions: Our results suggest that the four dietary inflammatory scores were associated with some biomarkers of inflammation and could be used to assess the inflammatory potential of diet in European adults but are not sufficient to capture the inflammatory status of an individual. These findings can help to better understand the inflammatory potential of diet, but they need to be replicated in studies with repeated dietary measurements.

The standard treatment of glioblastoma, an aggressive brain tumour, includes radiotherapy combined with temozolomide. Based on a randomised trial, showing five months increased survival, TTF has been introduced in the management of patients with good performance status. Data from the Swedish national quality registry for CNS tumours have been analysed for TTF usage. The results demonstrate that 65 percent of the patients accepted treatment with TTF. More than half of the treated patients interrupted treatment due to low compliance or their own wish. Median treatment time was 164 days, with a range from 0 to 774 days. There was a large variation between different regions in how many patients were offered TTF treatment. A non-significant trend to better survival was seen for the group of TTF-treated patients compared to individually matched controls. In summary, TTF is a new treatment for glioblastoma, with potential to prolong survival also in real world patients. Today, the treatment is not offered equally to all patients, despite national guidelines.

AIMS: To study the correlation between clinicopathological risk factors and the risk for intervention-requiring cancer recurrence in patients with small papillary thyroid cancers (sPTCs). MATERIALS AND METHODS: Records for 397 patients with sPTC (T1 ≤ 20mm) were obtained from the Scandinavian Quality Register for Thyroid, Parathyroid and Adrenal Surgery (SQRTPA) between 2010 and 2016. Follow-up time was at least 5 years. Data regarding intervention-requiring cancer recurrence were obtained from patient medical records and analysed regarding lymph node (LN) status (N0, N1a and N1b) and recurrence. RESULTS: Age was significantly lower in the N1a and N1b groups compared to N0 (45 vs. 40.5 vs. 49 years, respectively; p = 0.002). Tumour size was smaller in the N1a group compared to N1b group (9 vs. 11.8 mm; p <0.01). The mean number of metastatic LNs at initial surgery was higher in the N1b compared to N1a group (6.6 vs. 3; p = 0.001), and in the recurrent compared to the non-recurrent group (7 versus 3.9; p <0.01). The recurrence rate was higher in the N1b group than the N1a and N0 groups (25% vs. 2.4% vs. 1.4%, respectively; p = 0.001). CONCLUSIONS: Lymph node stage N1b at diagnosis, and having five or more metastatic nodes, are strong risk factors for cancer recurrence and decreased disease-free survival in sPTC. The management of patients with sPTC should include thorough lymph node mapping for optimal treatment and individual risk stratification.