Walter Stummer, Mirjam Gerwing, Sabriye Sennur Bilgin, Christian Thomas, Javier Villanueva-Meyer, Vijay Agarwal, Louise Stögbauer, Juliane Schroeteler, Michael Müther
{"title":"Sonodynamic therapy with a single neoadjuvant, diffuse delivery of low-intensity ultrasound with 5-ALA in treatment naïve glioblastoma results in tumor-specific cytotoxic edema and increased apoptosis.","authors":"Walter Stummer, Mirjam Gerwing, Sabriye Sennur Bilgin, Christian Thomas, Javier Villanueva-Meyer, Vijay Agarwal, Louise Stögbauer, Juliane Schroeteler, Michael Müther","doi":"10.1007/s11060-025-04957-7","DOIUrl":"https://doi.org/10.1007/s11060-025-04957-7","url":null,"abstract":"<p><strong>Purpose: </strong>Sonodynamic therapy, which combines a tumor cell-selective sonosensitizer with ultrasound, is gaining attention as a promising new treatment approach for glioblastoma. The objective of this case study is to report on the first applications of 5-aminolevulinic acid (5-ALA) in combination with low-intensity, non-targeted ultrasound as neo-adjuvant treatment in therapy naïve glioblastoma.</p><p><strong>Methods: </strong>Three patients with therapy naïve newly diagnosed glioblastoma were treated once before cytoreductive surgery with 5-ALA in combination with hemispheric, low-intensity, non-targeted ultrasound, assuming cell death to be triggered by non-ablative activation of 5-ALA-induced, tumor selective porphyrins.</p><p><strong>Results: </strong>No adverse effects were noted. Post-procedural MRI indicated a decrease in apparent diffusion coefficient values in tumors, suggesting cytotoxic effects. Relative cerebral blood volumes and leakage were increased for two patients with available perfusion imaging. Tissue obtained during surgery suggested increased cleaved-caspase III expression, a marker of apoptosis.</p><p><strong>Conclusion: </strong>We saw an immediate marked imaging response indicating cytotoxic edema and indications of a histopathology response from just a single treatment. Correlation to clinical outcomes and extension of overall survival remains to be seen. A Phase 1 safety study has been submitted for regulatory approval.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143188876","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predictors of favorable long-term outcomes in first-line surgery for microprolactinomas.","authors":"Lukas Andereggen, Emanuel Christ","doi":"10.1007/s11060-025-04958-6","DOIUrl":"https://doi.org/10.1007/s11060-025-04958-6","url":null,"abstract":"<p><strong>Purpose: </strong>Opting for first-line surgery in carefully selected patients with microprolactinomas provides the advantage of avoiding long-term dopamine agonist (DA) medication and potential associated side effects. However, the lack of comprehensive long-term data poses a challenge in identifying those patients who would benefit the most from upfront surgery. To improve guidance in the selection process for microprolactinoma patients in clinical practice, we aimed to establish simple clinical and biochemical parameters predicting non-dependence on DAs.</p><p><strong>Methodology: </strong>Retrospective analysis of a prospectively maintained database, focusing on patients with microprolactinomas who underwent upfront surgery. We assessed clinical and biochemical risk factors for the patients' reliance on DAs at their latest follow-up using regression analysis. We next proceeded to conduct Receiver Operating Characteristic (ROC) analysis to determine the optimal threshold cutoff prolactin (PRL) level for practical application in clinical settings that best differentiates between surgical long-term remission status and long-term dependence on DAs.</p><p><strong>Results: </strong>A microadenoma was observed in 46 patients, of whom 12 (26%) exhibited long-term dependence on DAs at a median follow-up of 78 months. Baseline PRL values were significantly higher in patients with long-term DA dependence compared to those without (p = 0.05). High baseline PRL values (HR 23.9, 95% CI 1.0-593.7, p = 0.05), but not the presence of headache or male gender, were identified as independent predictors of long-term dependence on DAs. PRL thresholds for discriminating long-term DA dependence were estimated to be 290 µg/L (AUROC = 0.73, 95% CI 0.55-0.92, p = 0.03; sensitivity = 90%, specificity = 80%).</p><p><strong>Conclusions: </strong>In patients with microprolactinomas, first-line surgery presents a favorable prospect for reducing reliance on DAs. However, for those with high PRL levels ≥ 290 µg/L at diagnosis, first-line surgery is not recommended, as the majority of them require adjuvant DA therapy in the long term.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143188774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Brain metastases from small cell lung cancer: focal therapies improve outcomes in the contemporary era.","authors":"Jason P Sheehan","doi":"10.1007/s11060-025-04943-z","DOIUrl":"https://doi.org/10.1007/s11060-025-04943-z","url":null,"abstract":"","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143189594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovation and technology in neurosurgery oncology.","authors":"Isabelle M Germano, Christopher Cifarelli","doi":"10.1007/s11060-025-04941-1","DOIUrl":"https://doi.org/10.1007/s11060-025-04941-1","url":null,"abstract":"","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jay A Jani, David Cowan, Lionel Ouonkap, Daniel Adesina, Tianwen Ma, Shumeng Chen, Salman Aldakhil, Kimberly B Hoang
{"title":"Missing the message to brain tumor patients: a 2023 twitter analysis among patients, informal caregivers, and healthcare professionals in glioblastoma multiforme.","authors":"Jay A Jani, David Cowan, Lionel Ouonkap, Daniel Adesina, Tianwen Ma, Shumeng Chen, Salman Aldakhil, Kimberly B Hoang","doi":"10.1007/s11060-025-04948-8","DOIUrl":"https://doi.org/10.1007/s11060-025-04948-8","url":null,"abstract":"<p><strong>Purpose: </strong>Social media platforms, particularly Twitter (X), play an important role in healthcare communication by sharing information and personal disease experiences. We investigated glioblastoma multiforme (GBM) posting behaviors on Twitter by comparing patient and informal caregiver tweets to healthcare professional tweets.</p><p><strong>Methods: </strong>Using Keyhole, a third-party analytics tool, we analyzed 1,639 tweets containing the keyword \"#glioblastoma\" from January 1 to December 31, 2023. Users were categorized as patients, informal caregivers, or healthcare professionals. We employed Generalized Estimating Equation models and multinomial distributions to compare sentiment, thematic, and frequency engagement patterns across stakeholder groups.</p><p><strong>Results: </strong>Informal caregivers produced the slight majority of tweets (51.6%), followed by healthcare professionals (39.0%). Informal caregivers expressed significantly more negative sentiments (relative to neutral ones) than healthcare professionals (p < 0.001). Thematic analysis revealed that patients (p < 0.001) and informal caregivers (p < 0.001) engaged in more emotional support than healthcare professionals. Healthcare professionals were more likely than patients (p < 0.001) and informal caregivers (p < 0.001) to self-promote. Patients (p < 0.001) and informal caregivers (p < 0.001) tweeted more on survival/mortality than healthcare professionals. Additionally, patients (p < 0.001) and informal caregivers (p < 0.001) had a higher average posting frequency per user than healthcare professionals.</p><p><strong>Conclusion: </strong>Our findings indicate that GBM patients and informal caregivers were more likely to discuss emotional aspects of GBM care, while healthcare professionals had more informational and professional motives. Healthcare professionals who address these emotional, social, and financial communication disconnects can make their social media engagement more meaningful to patients who are often at least one of the primary targets of these accounts.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143080362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Linda Tang, Sachiv Chakravarti, Evan Li, Yuncong Mao, A Karim Ahmed, Debraj Mukherjee
{"title":"Optimal treatment regimen for very elderly patients with atypical meningioma: an analysis of survival outcomes using the National Cancer Database (NCDB).","authors":"Linda Tang, Sachiv Chakravarti, Evan Li, Yuncong Mao, A Karim Ahmed, Debraj Mukherjee","doi":"10.1007/s11060-024-04886-x","DOIUrl":"10.1007/s11060-024-04886-x","url":null,"abstract":"<p><strong>Purpose: </strong>We assess the efficacy of different surgical resection types, radiotherapy, systemic therapy on overall survival in very elderly patients (age > 80) with intracranial atypical meningioma in contrast with their elderly (65-80) counterparts.</p><p><strong>Methods: </strong>Patients > 65 years old with intracranial atypical meningiomas surgically resected and catalogued via the National Cancer Database were included. Cox proportional hazards models were developed to assess the association between surgical resection type, radiotherapy and systemic therapy with OS while controlling for sex, race, ethnicity, facility type, income, tumor size and CDCC score.</p><p><strong>Results: </strong>1747 elderly patients and 382 very elderly patients were included. 61.70% elderly patients and 58.90% very elderly patients received GTR. 26.50% elderly patients and 14.13% very elderly patients received radiotherapy. In multivariate analysis, subtotal resection is associated with worse survival (HR 1.28, p < 0.01) and radiotherapy is associated with improved survival (HR 0.76, p < 0.01). Systemic therapy was not associated with changes in survival outcomes (HR 1.17, p = 0.79). Using subgroup analysis, gross total resection is associated with better survival outcomes in both elderly and very elderly cohorts. Radiotherapy was not associated with improved survival (HR 0.85, p = 0.11) for patients between 65 and 80 years old, but was associated with improved survival (HR 0.51, p < 0.01) for patients > 80 years old.</p><p><strong>Conclusion: </strong>GTR provides survival advantage in both elderly and very elderly cohorts. Radiotherapy provides survival benefits for very elderly patients even though very elderly patients are less likely to received radiotherapy. Very elderly patients may benefit from more aggressive management in the treatment of atypical meningiomas.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"715-724"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Aarav Badani, Ahmad Ozair, Mustafa Khasraw, Graeme F Woodworth, Pallavi Tiwari, Manmeet S Ahluwalia, Alireza Mansouri
{"title":"Immune checkpoint inhibitors for glioblastoma: emerging science, clinical advances, and future directions.","authors":"Aarav Badani, Ahmad Ozair, Mustafa Khasraw, Graeme F Woodworth, Pallavi Tiwari, Manmeet S Ahluwalia, Alireza Mansouri","doi":"10.1007/s11060-024-04881-2","DOIUrl":"10.1007/s11060-024-04881-2","url":null,"abstract":"<p><p>Glioblastoma (GBM), the most common and aggressive primary central nervous system (CNS) tumor in adults, continues to have a dismal prognosis. Across hundreds of clinical trials, few novel approaches have translated to clinical practice while survival has improved by only a few months over the past three decades. Randomized controlled trials of immune checkpoint inhibitors (ICIs), which have seen impressive success for advanced or metastatic extracranial solid tumors, have so far failed to demonstrate a clinical benefit for patients with GBM. This has been secondary to GBM heterogeneity, the unique immunosuppressive CNS microenvironment, immune-evasive strategies by cancer cells, and the rapid evolution of tumor on therapy. This review aims to summarize findings from major clinical trials of ICIs for GBM, review historic failures, and describe currently promising avenues of investigation. We explore the biological mechanisms driving ICI responses, focusing on the role of the tumor microenvironment, immune evasion, and molecular biomarkers. Beyond conventional monotherapy approaches targeting PD-1, PD-L1, CTLA-4, we describe emerging approaches for GBM, such as dual-agent ICIs, and combination of ICIs with oncolytic virotherapy, antigenic peptide vaccines, chimeric antigenic receptor (CAR) T-cell therapy, along with nanoparticle-based delivery systems to enhance ICI efficacy. We highlight potential strategies for improving patient selection and treatment personalization, along with real-time, longitudinal monitoring of therapeutic responses through advanced imaging and liquid biopsy techniques. Integrated radiomics, tissue, and plasma-based analyses, may potentially uncover immunotherapeutic response signatures, enabling early, adaptive therapeutic adjustments. By specifically targeting current therapeutic challenges, outcomes for GBM patients may potentially be improved.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"531-547"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142681910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Victor Gabriel El-Hajj, Sruthi Ranganathan, Harry Hoang, Abdul Karim Ghaith, Mohamad Bydon, Adrian Elmi-Terander
{"title":"The impact of adjuvant radiotherapy on overall survival in spinal low-grade gliomas: a propensity score-matched analysis.","authors":"Victor Gabriel El-Hajj, Sruthi Ranganathan, Harry Hoang, Abdul Karim Ghaith, Mohamad Bydon, Adrian Elmi-Terander","doi":"10.1007/s11060-024-04880-3","DOIUrl":"10.1007/s11060-024-04880-3","url":null,"abstract":"<p><strong>Introduction: </strong>Spinal low-grade gliomas (sLGGs) are a group of tumors that arise from glial cells in the spinal cord. Current evidence supporting the use of adjuvant radiotherapy for the management of sLGG is lacking. We hence aimed to compare overall survival rates in patients receiving surgery alone with those receiving surgery with adjuvant radiotherapy.</p><p><strong>Methods: </strong>The NCDB, a large, nationwide, US-based cancer registry was used. Relevant cases were identified using the following ICD-O-3 histological codes: 9382, 9384, 9400, 9410, 9411, 9420, 9421, 9424, 9425, and 9450, along with the ICD-O-3 topographical codes for spinal meninges (C70.1) and spinal cord (C72.0), excluding spinal ependymomas. Overall survival was the primary outcome. Propensity score matching 1:1 was used to balance the cohorts prior to Kaplan-Meier survival analysis.</p><p><strong>Results: </strong>A total of 552 patients were included in the study, with 440 in the surgery alone group and 156 in the surgery with adjuvant radiotherapy group. Patients in the surgery with adjuvant radiotherapy group were significantly older (median age 40.0 vs. 24.0 years, p < 0.001), and exhibited higher proportions of WHO grade 2 tumors (p < 0.001). Adjuvant chemotherapy was more frequently administered in the surgery with adjuvant radiotherapy group (23% vs. 7%, p < 0.001). Overall, adjuvant radiotherapy was not associated with improved survival, with a significantly higher mortality in the radiotherapy group before propensity score matching (p < 0.0001). After matching, the difference in overall survival was no longer significant (p = 0.11).</p><p><strong>Conclusion: </strong>This study found no significant overall survival benefit associated with the use of adjuvant radiotherapy for spinal low-grade gliomas (sLGG). Although patients who received adjuvant radiotherapy initially demonstrated higher mortality rates, this difference was largely due to confounding factors such as more advanced disease in this group.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"629-636"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729206/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Eric Suero Molina, Ghasem Azemi, Zeynep Özdemir, Carlo Russo, Hermann Krähling, Alexandra Valls Chavarria, Sidong Liu, Walter Stummer, Antonio Di Ieva
{"title":"Predicting intraoperative 5-ALA-induced tumor fluorescence via MRI and deep learning in gliomas with radiographic lower-grade characteristics.","authors":"Eric Suero Molina, Ghasem Azemi, Zeynep Özdemir, Carlo Russo, Hermann Krähling, Alexandra Valls Chavarria, Sidong Liu, Walter Stummer, Antonio Di Ieva","doi":"10.1007/s11060-024-04875-0","DOIUrl":"10.1007/s11060-024-04875-0","url":null,"abstract":"<p><strong>Purpose: </strong>Lower-grade gliomas typically exhibit 5-aminolevulinic acid (5-ALA)-induced fluorescence in only 20-30% of cases, a rate that can be increased by doubling the administered dose of 5-ALA. Fluorescence can depict anaplastic foci, which can be precisely sampled to avoid undergrading. We aimed to analyze whether a deep learning model could predict intraoperative fluorescence based on preoperative magnetic resonance imaging (MRI).</p><p><strong>Methods: </strong>We evaluated a cohort of 163 glioma patients categorized intraoperatively as fluorescent (n = 83) or non-fluorescent (n = 80). The preoperative MR images of gliomas lacking high-grade characteristics (e.g., necrosis or irregular ring contrast-enhancement) consisted of T1, T1-post gadolinium, and FLAIR sequences. The preprocessed MRIs were fed into an encoder-decoder convolutional neural network (U-Net), pre-trained for tumor segmentation using those three MRI sequences. We used the outputs of the bottleneck layer of the U-Net in the Variational Autoencoder (VAE) as features for classification. We identified and utilized the most effective features in a Random Forest classifier using the principal component analysis (PCA) and the partial least square discriminant analysis (PLS-DA) algorithms. We evaluated the performance of the classifier using a tenfold cross-validation procedure.</p><p><strong>Results: </strong>Our proposed approach's performance was assessed using mean balanced accuracy, mean sensitivity, and mean specificity. The optimal results were obtained by employing top-performing features selected by PCA, resulting in a mean balanced accuracy of 80% and mean sensitivity and specificity of 84% and 76%, respectively.</p><p><strong>Conclusions: </strong>Our findings highlight the potential of a U-Net model, coupled with a Random Forest classifier, for pre-operative prediction of intraoperative fluorescence. We achieved high accuracy using the features extracted by the U-Net model pre-trained for brain tumor segmentation. While the model can still be improved, it has the potential for evaluating when to administer 5-ALA to gliomas lacking typical high-grade radiographic features.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"589-598"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729117/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142668180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
David Wasilewski, Tommaso Araceli, Philip Bischoff, Anton Früh, Rober Ates, Selin Murad, Niklas Jung, Jan Bukatz, Majd Samman, Katharina Faust, Julia Jünger, Martin Witzenrath, David Horst, Atik Baborie, Arend Koch, David Capper, Frank L Heppner, Helena Radbruch, Markus J Riemenschneider, Nils Ole Schmidt, Peter Vajkoczy, Martin Proescholdt, Julia Onken, Nikolaj Frost
{"title":"TTF-1 negativity in synchronous M1b/M1c wildtype lung adenocarcinoma brain metastases predicts worse survival with increased risk of intracranial progression.","authors":"David Wasilewski, Tommaso Araceli, Philip Bischoff, Anton Früh, Rober Ates, Selin Murad, Niklas Jung, Jan Bukatz, Majd Samman, Katharina Faust, Julia Jünger, Martin Witzenrath, David Horst, Atik Baborie, Arend Koch, David Capper, Frank L Heppner, Helena Radbruch, Markus J Riemenschneider, Nils Ole Schmidt, Peter Vajkoczy, Martin Proescholdt, Julia Onken, Nikolaj Frost","doi":"10.1007/s11060-024-04885-y","DOIUrl":"10.1007/s11060-024-04885-y","url":null,"abstract":"<p><strong>Background: </strong>Thyroid Transcription Factor-1 (TTF-1) expression in lung adenocarcinoma (LUAD) has been studied for its prognostic value in early-stage and metastatic disease. Its role in brain metastasis remains unexplored. This study investigates the predictive value and association of TTF-1 status with clinicopathological variables in patients with synchronous LUAD brain metastases.</p><p><strong>Material and methods: </strong>In this bicentric retrospective study, 245 patients with newly diagnosed, treatment-naïve brain metastasis undergoing resection were included. Patient data were retrieved from electronic records. Outcomes included overall and progression-free survival. Statistical analysis included Kaplan-Meier estimates and Cox proportional hazards regression.</p><p><strong>Results: </strong>Mean Ki67 index in TTF-1 negative patients was 43% [95% CI 38-48%] compared to 32% [95% CI 29-35%] in TTF-1 positive (TTF-1 +) patients (p < 0.001). Tumor volume was significantly larger in TTF-1 negative (TTF-1-) patients (mean volume 24 mL [95% CI 18-31 mL]) vs. 15 mL [95% CI 12-17 mL] in TTF-1 + patients (padjust = 0.003). Perifocal edema was smaller in TTF-1- patients (mean volume: 58 mL [95% CI 45-70 mL]) vs. 84 mL [95% CI 73-94 mL] in TTF-1 + patients (padjust = 0.077). Tumor and edema volume did not correlate. TTF-1- patients showed worse overall, intracranial, and extracranial progression-free survival. In a multivariable Cox model, positive TTF-1 status was independently associated with improved outcomes. Negative TTF-1 status was associated with increased hazard for intracranial disease progression compared to extracranial progression.</p><p><strong>Conclusion: </strong>In synchronous LUAD brain metastases, TTF-1 negativity reflects an aggressive phenotype with larger proliferation capacity and tumor volume. Future research should explore the underlying cellular and molecular alterations of this phenotype.</p>","PeriodicalId":16425,"journal":{"name":"Journal of Neuro-Oncology","volume":" ","pages":"637-649"},"PeriodicalIF":3.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11729080/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}