Publications by authors named "Anna Larissa N Niemeijer"

Background: Anti-PD-(L)1 immunotherapy has emerged as a promising treatment approach for non-small cell lung cancer (NSCLC), though the response rates remain low. Pre-treatment response prediction may improve patient allocation for immunotherapy. Blood platelets act as active immune-like cells, thereby constraining T-cell activity, propagating cancer metastasis, and adjusting their spliced mRNA content.

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Article Synopsis
  • Early detection of tumors in cancer patients leads to better treatment outcomes for less advanced cancers.
  • Tumor-educated platelets (TEPs) can be used for cancer detection via RNA-based blood tests, identifying 18 different cancer types with high accuracy.
  • The thromboSeq test showed 99% specificity in asymptomatic controls, accurately detecting two-thirds of cancers in advanced stages, and helped determine the origin of tumors in over 80% of cases.
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Better biomarkers are needed to predict treatment outcome in non-small cell lung cancer (NSCLC) patients treated with anti-programmed death-1/programmed death-ligand 1 (PD-1/PD-L1) checkpoint inhibitors. PD-L1 immunohistochemistry has limited predictive value, possibly because of tumor heterogeneity of PD-L1 expression. Noninvasive PD-L1 imaging using Zr-durvalumab might better reflect tumor PD-L1 expression.

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Article Synopsis
  • The study investigates the effectiveness of using Zr-pembrolizumab to predict responses to pembrolizumab treatment in non-small cell lung cancer (NSCLC) patients, as not all patients have a favorable response to standard PD-L1 scoring.
  • Twelve NSCLC patients underwent imaging after two injections of Zr-pembrolizumab, which showed that tracer uptake was more pronounced in patients who responded to pembrolizumab, although not statistically significant.
  • Overall, Zr-pembrolizumab was found to be safe with minimal adverse effects, and while increased tracer uptake correlated with treatment response, there was no significant correlation with traditional PD-L1 or PD-1 expression levels.
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Background: Radiotherapy might augment systemic antitumoral responses to immunotherapy. In the PEMBRO-RT (phase 2) and MDACC (phase 1/2) trials, patients with metastatic non-small-cell lung cancer were randomly allocated immunotherapy (pembrolizumab) with or without radiotherapy. When the trials were analysed individually, a potential benefit was noted in the combination treatment arm.

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Article Synopsis
  • The study aims to identify patients with non-small cell lung cancer (NSCLC) who would benefit from immune checkpoint inhibitors, potentially reducing unnecessary treatment side effects and healthcare costs.
  • A mass spectrometry-based proteomic analysis was conducted on serum samples from 289 NSCLC patients treated with nivolumab, using machine learning to classify them into three outcome groups: sensitive, intermediate, and resistant to treatment.
  • The results identified a protein signature linked to better survival outcomes and suggested that proteomic analysis could offer valuable prognostic information for future treatments, warranting further investigation.
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Background: Immune checkpoint inhibitors are most beneficial in patients with high tumour PD-L1 expression. However, the use of PD-L1 expression is not straightforward. We investigated PD-L1 expression and immune cell (IC) infiltrates in non-small-cell lung cancer (NSCLC) patients treated with nivolumab.

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The aim of this work was to quantify the uptake of F-BMS-986192, a programmed cell death ligand 1 (PD-L1) adnectin PET tracer, in patients with non-small cell lung cancer. To this end, plasma input kinetic modeling of dynamic tumor uptake data with online arterial blood sampling was performed. In addition, the accuracy of simplified uptake metrics such as SUV was investigated.

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Importance: Many patients with advanced non-small cell lung cancer (NSCLC) receiving immunotherapy show primary resistance. High-dose radiotherapy can lead to increased tumor antigen release, improved antigen presentation, and T-cell infiltration. This radiotherapy may enhance the effects of checkpoint inhibition.

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Blood-based liquid biopsies, including tumor-educated blood platelets (TEPs), have emerged as promising biomarker sources for non-invasive detection of cancer. Here we demonstrate that particle-swarm optimization (PSO)-enhanced algorithms enable efficient selection of RNA biomarker panels from platelet RNA-sequencing libraries (n = 779). This resulted in accurate TEP-based detection of early- and late-stage non-small-cell lung cancer (n = 518 late-stage validation cohort, accuracy, 88%; AUC, 0.

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The treatment of advanced nonsmall cell lung cancer (NSCLC) with PD-1/PD-L1 immune checkpoint inhibitors has improved clinical outcome for a proportion of patients. The current challenge is to find better biomarkers than PD-L1 immunohistochemistry (IHC) that will identify patients likely to benefit from this therapy. In this exploratory study we assessed the differences in T-cell subsets and PD-1 expression levels on T-cells in tumour-draining lymph nodes (TDLNs) and peripheral blood mononuclear cells (PBMCs).

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