Up to 40% of advance lung, melanoma and breast cancer patients suffer from brain metastases (BM) with increasing incidence. Here, we assessed whether circulating tumor cells (CTCs) in peripheral blood can serve as a disease surrogate, focusing on CD44 and CD74 expression as prognostic markers for BM. We show that a size-based microfluidic approach in combination with a semi-automated cell recognition system are well suited for CTC detection in BM patients and allow further characterization of tumor cells potentially derived from BM. CTCs were found in 50% (7/14) of breast cancer, 50% (9/18) of non-small cell lung cancer (NSCLC) and 36% (4/11) of melanoma patients. The next-generation sequencing (NGS) analysis of nine single CTCs from one breast cancer patient revealed three different CNV profile groups as well as a resistance causing ERS1 mutation. CD44 and CD74 were expressed on most CTCs and their expression was strongly correlated, whereas matched breast cancer BM tissues were much less frequently expressing CD44 and CD74 (negative in 46% and 54%, respectively). Thus, plasticity of CD44 and CD74 expression during trafficking of CTCs in the circulation might be the result of adaptation strategies.

Background: Brain metastasis (BM) in non-small-cell lung cancer (NSCLC) has a very poor prognosis. Recent studies have demonstrated the importance of cell adhesion molecules in tumor metastasis. The aim of our study was to investigate the role of activated leukocyte cell adhesion molecule (ALCAM) in BM formation in NSCLC. Methods: Immunohistochemical analysis was performed on 143 NSCLC primary tumors and BM. A correlation between clinicopathological parameters and survival was developed. Biological properties of ALCAM were assessed in vitro by gene ablation using CRISPR/Cas9 technology in the NCI-H460 NSCLC cell line and in vivo by intracranial and intracardial cell injection of NCI-H460 cells in NMRI-Foxn1nu/nu mice. Results: ALCAM expression was significantly upregulated in NSCLC brain metastasis (P = 0.023) with a de novo expression of ALCAM in 31.2% of BM. Moderate/strong ALCAM expression in both primary NSCLC and brain metastasis was associated with shortened survival. Functional analysis of an ALCAM knock-out (KO) cell line showed a significantly decreased cell adhesion capacity to human brain endothelial cells by 38% (P = 0.045). In vivo studies showed significantly lower tumor cell dissemination in mice injected with ALCAM-KO cells in both mouse models, and both the number and size of BM were significantly diminished in ALCAM depleted tumors. Conclusions: Our findings suggest that elevated levels of ALCAM expression promote BM formation in NSCLC through increased tumor cell dissemination and interaction with the brain endothelial cells. Therefore, ALCAM could be targeted to reduce the occurrence of BM. Key Points: 1. ALCAM expression associates with poor prognosis and brain metastasis in NSCLC. 2. ALCAM mediates interaction of NSCLC tumor cells with brain vascular endothelium. 3. ALCAM might represent a novel preventive target to reduce the occurrence of BM in NSCLC.

Circulating tumor cells (CTCs) are promising tools for risk prediction and the monitoring of response to therapy in cancer patients. Within the EU/IMI CANCER-ID consortium, we validated CTC enrichment systems for future inclusion into clinical trials. Due to the known heterogeneity of markers expressed on CTCs, we tested the Parsortix^® system (ANGLE plc) which enables label-independent CTC enrichment from whole blood based on increased size and deformability of these tumor cells compared to leukocytes. We performed extensive comparisons both with spiked-in blood models (i.e., MDA-MB-468 tumor cell line cells spiked at very low concentration into blood from healthy donors) and validated the protocol on actual clinical samples from breast, lung, and gastrointestinal cancer patients to define optimal conditions for CTC enrichment. Multiple parameters including cassette gap, separation pressure, and cell fixatives were compared in parallel. Also, the compatibility of blood collection tubes with whole genome amplification of isolated tumor cells was demonstrated and we furthermore established a workflow for semi-automated CTC detection using a quantitative cell imager. The established workflow will contribute to supporting the use of size-based CTC enrichment platforms in clinical trials testing the clinical validity and utility of CTCs for personalized medicine.

The combination of liquid biomarkers from a single blood tube can provide more comprehensive information on tumor development and progression in cancer patients compared to single analysis. Here, we evaluated whether a combined analysis of circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), and circulating cell‐free microRNA (miRNA) in total plasma and extracellular vesicles (EV) from the same blood sample is feasible and how the results are influenced by the choice of different blood tubes. Peripheral blood from 20 stage IV melanoma patients and five healthy donors (HD) was collected in EDTA, Streck, and Transfix tubes. Peripheral blood mononuclear cell fraction was used for CTC analysis, whereas plasma and EV fractions were used for ctDNA mutation and miRNA analysis. Mutations in cell‐free circulating DNA were detected in 67% of patients, with no significant difference between the tubes. CTC was detected in only EDTA blood and only in 15% of patients. miRNA NGS (next‐generation sequencing) results were highly influenced by the collection tubes and could only be performed from EDTA and Streck tubes due to hemolysis in Transfix tubes. No overlap of significantly differentially expressed miRNA (patients versus HD) could be found between the tubes in total plasma, whereas eight miRNA were commonly differentially regulated in the EV fraction. In summary, high‐quality CTCs, ctDNA, and miRNA data from a single blood tube can be obtained. However, the choice of blood collection tubes is a critical pre‐analytical variable.

Background: Lung cancer is the leading cause of cancer-related deaths worldwide, with brain metastasis (BM) occurring in 40% of advanced non-small cell lung cancer (NSCLC) patients. In 15% of these patients, the brain is the only affected organ (oligo-metastasis), corresponding to improved prognosis compared to widespread disease. Thus far, it is unknown if the metastatic dissemination to the brain without systemic metastases is a consequence of the immune system’s ability to control systemic tumor outgrowth. Methods: Here, we investigated the local and peripheral immune cell composition in NSCLC BM patients, and identified new immune patterns related to the occurrence of brain metastases either as oligo- or poly-metastatic disease. Results: The multi-parametric immune phenotyping of peripheral blood revealed a downregulation of KLRG1 in CD8 ⁺ T-cells and an increase in CD4 ⁺ T _H 17 cells and elevated IL-17 levels in the blood of all NSCLC BM patients compared to healthy individuals. In addition, BM patients CD4 ⁺ T cells showed less CD73 expression with reduced effector memory differentiation. Furthermore, we observed less intra-tumoral infiltration in tumor tissues and a distinctive CD4+ T-cell profile in oligo-synchronous BM, both in the tumor microenvironment and peripheral blood compared to poly-metastatic BM patients. Moreover, 5′-ectonucleotidase CD73 was significantly upregulated in CD4 and T-regulatory cells of oligo-synchronous BM. Conclusions: These results indicate that oligo-synchronous BM exhibits a more pronounced alteration in the CD4 T-cell immune profile both locally at the tumor site and systemically. Key Points: BM patients exhibit a skewed systemic immune profile, characterized by downregulation of KLRG1 in CD8 ⁺ and induction of T _H 17/IL-17 axis and CD73 in CD4 ⁺ T-cells. Oligo-synchronous BM displayed a distinct CD4 ⁺ T-cell profile in both TME and peripheral blood. Importance of the Study: This study presents a novel insight into immune profiles of brain metastasis types in NSCLC patients. Examining tissues and PBMCs sheds light on the disease and uncovers unique immune responses within distinct brain metastasis patterns. This research offers valuable knowledge for improved understanding and identifying potential prognosis markers.