Publications by authors named "Sofie Tolmeijer"

Early indicators of metastatic cancer response to therapy are important for evaluating new drugs and stopping ineffective treatment. The RECIST guidelines based on repeat cancer imaging are widely adopted in clinical trials, are used to identify active regimens that may change practice, and contribute to regulatory approvals. However, these criteria do not provide insight before 6 to 12 weeks of treatment and typically require that patients have measurable disease.

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  • - Current strategies to predict outcomes in metastatic castration-resistant prostate cancer (mCRPC) are lacking, but circulating tumor DNA fraction (ctDNA%) may hold promise for assessing patient risk.
  • - An analysis of 738 plasma samples from mCRPC patients shows that ctDNA% correlates with disease severity and is a strong predictor of overall and progression-free survival, outperforming traditional clinical factors.
  • - To address challenges with low ctDNA%, researchers developed a machine-learning tool that indicates when ctDNA% is sufficient for detailed genetic testing, enhancing patient risk assessment and biomarker testing.
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  • The treatment of metastatic castration-resistant prostate cancer (mCRPC) is advancing due to improved understanding of its biology and the use of precision oncology, which matches therapies to specific tumor genotypes.
  • Obtaining and sequencing tumor DNA, especially through circulating tumor DNA (ctDNA), is crucial for tracking real-time genetic changes, treatment response, and tumor heterogeneity, making ctDNA a potential prognostic biomarker.
  • Recent developments include third-generation androgen receptor inhibitors to address resistance mechanisms and PARP inhibitors targeting DNA damage repair defects, providing new options for patients with specific genetic mutations.
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  • Immune checkpoint inhibitors (ICIs) are effective for some metastatic urothelial cancer (mUC) patients, but only 20-25% see a durable response.
  • A study investigated the potential of measuring circulating tumor DNA (ctDNA) levels during treatment to predict responsiveness to ICIs in mUC patients, using a discovery cohort of 40 and a validation cohort of 16.
  • Results showed that increases in ctDNA at 3 and 6 weeks were strongly associated with shorter progression-free survival and overall survival, indicating that early ctDNA changes could guide better management of treatment strategies.
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  • Androgen receptor pathway inhibitors (ARPI) are key treatments for metastatic castration-resistant prostate cancer (mCRPC), but patients often develop resistance quickly, underscoring the need for early detection strategies.
  • A study involving 81 mCRPC patients examined changes in circulating tumor DNA (ctDNA) during the first four weeks of ARPI treatment to see if these changes correlated with clinical outcomes like progression-free survival (PFS) and overall survival (OS).
  • Results showed that a significant number of patients with persistent ctDNA after four weeks had worse outcomes, indicating that monitoring ctDNA could effectively predict treatment responses and guide therapy adjustments.
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Patients diagnosed with locally advanced esophageal cancer are often treated with neoadjuvant chemoradiotherapy followed by surgery. This study explored whether detection of circulating tumor DNA (ctDNA) in plasma can be used to predict residual disease during treatment. Diagnostic tissue biopsies from patients with esophageal cancer receiving neoadjuvant chemoradiotherapy and surgery were analyzed for tumor-specific mutations.

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For patients with newly diagnosed metastatic melanoma, rapid BRAF mutation (mBRAF) assessment is vital to promptly initiate systemic therapy. Additionally, blood-based biomarkers are desired to monitor and predict treatment response. Circulating tumor DNA (ctDNA) has shown great promise for minimally invasive mBRAF assessment and treatment monitoring, but validation studies are needed.

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Homologous recombination repair deficiency (HRD) can be observed in virtually all cancer types. Although HRD sensitizes tumors to DNA-damaging chemotherapy and poly(ADP-ribose) polymerase (PARP) inhibitors, all patients ultimately develop resistance to these therapies. Therefore, it is necessary to identify therapeutic regimens with a more durable efficacy.

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Purpose: It has been suggested that androgen receptor copy number gain ( gain) detected in cell-free DNA (cfDNA) can predict treatment response to androgen receptor signaling inhibitors (ARSIs) in patients with castration-resistant prostate cancer (CRPC). But it is unclear whether cfDNA-based gain is a true resistance mechanism to ARSIs or mainly a reflection of the tumor burden. In this systematic review, we aim to summarize current literature and comment on the potential of cfDNA-based gain as a predictive biomarker to guide therapy choices.

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Background: T-cell mediated immunotherapy brought clinical success for many cancer patients. Nonetheless, downregulation of MHC class I antigen presentation, frequently occurring in solid cancers, limits the efficacy of these therapies. Unraveling the mechanisms underlying this type of immune escape is therefore of great importance.

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Glucocorticoid drugs are widely used to treat immune-related diseases, but their use is limited by side effects and by resistance, which especially occurs in macrophage-dominated diseases. In order to improve glucocorticoid therapies, more research is required into the mechanisms of glucocorticoid action. In the present study, we have used a zebrafish model for inflammation to study glucocorticoid effects on the innate immune response.

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