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. 2025 Mar 29;16(1):223.
doi: 10.1038/s41419-025-07530-2.

Gastroesophageal circulating tumor cell crosstalk with peripheral immune system guides CTC survival and proliferation

Affiliations

Gastroesophageal circulating tumor cell crosstalk with peripheral immune system guides CTC survival and proliferation

Tania Rossi et al. Cell Death Dis. .

Abstract

Tumor dissemination is a key event in tumor progression. During this event, a main role is played by circulating tumor cells (CTCs), immune cells, and their interaction. How the immune system supports the survival and proliferation of CTCs is not fully elucidated. In this study we established an in-vitro co-culture system consisting of immune cells and CTCs from the same patient, which increased the success rate in the establishment of CTC-derived long-term cell cultures. In this system, we characterized the immune cells of successful co-cultures and the signals they exchange with cancer cells, including cytokines and extracellular vesicle (EV) content. Using this protocol, we stabilized four CTC-derived cell lines from patients with metastatic gastroesophageal cancer, which were cultured for over a year and characterized from a genetic and molecular point of view. The four cell lines harbor shared chromosomal aberrations including the amplification at 8q24.21 containing MYC and deletion 9p21.3 containing CDKN2A/B and the IFN type I cluster. The transcriptomic profile of CTC cell lines is distinct from primary tumors, and we detected the activation of E2F, G2M and MYC pathways and the downregulation of interferon response pathway. Each cell line shows a degree of invasiveness in zebrafish in-vivo, and the most invasive ones share the same mutation in RAB14 gene. In addition, the four cell lines secrete cell-line specific EVs containing microRNAs that target YAP, BRG1-AKT1, TCF8-HDAC pathways. Overall, we highlight how the immune system plays a key role in the proliferation of CTCs through EV signaling, and how CTC cell line genomic and transcriptomic alterations make these cells less visible from the immune system and likely responsible for the survival advantage in sites distant from the microenvironment of origin.

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Conflict of interest statement

Competing interests: The authors declare no competing interests. Ethics approval: The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Research Ethics Committee from IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori” (Italy) (protocol code, IRSTB063, date of approval 11 May 2016).

Figures

Fig. 1
Fig. 1. Morphological and phenotypic characteristics of cultured CTCs.
a Representative images of the four CTC-derived cell lines. Tumoroid structures can be noticed in all cell lines (black arrows). 5x (upper) and 10x (lower) magnification, phase contrast, scalebar 100 µm. b FACS analysis of EpCAM-positive cell populations (red curve) and negative control (cyan curve) The percentage of EpCAM+ cells is indicated. c Histological characterization of CTC-derived cell lines. Panels show cellular staining with hematoxylin/eosin (H&E), cytokeratin-7 (K7), cytokeratin-20 (K20), caudal type homeobox 2 (CDX2) and tumor protein p63.
Fig. 2
Fig. 2. Invasive competence of CTC-derived cell lines in in-vivo zebrafish model.
a Temporal monitoring of the percentage of embryos with CTC intravasation. b Representative images of engrafted zebrafish with tumor cells shed in the circulation 24 h post-injection (c) Representative images of tumor cell contacts with the circulatory system near the site of injection. At 24 h, sprouting vessel formations are visible, in addition to circulating CTCs. d Representative image of metastases formation 48 h post-injection. Green: zebrafish endothelial cells, red: CTC-derived tumor cells.
Fig. 3
Fig. 3. Genomic landscape of the four CTC-derived cell lines.
a Graphical representation of CTC cell line copy number aberration (CNA) distribution across all chromosomes. Red dots represent amplifications, blue dots represent deletions (b) Significant copy number gains (red) and losses (blue) detected by GISTIC 2.0 (shown as peaks) shared between the cell lines.
Fig. 4
Fig. 4. Gene expression analysis of the four CTC-derived cell lines.
a Unsupervised principal component analysis (PCA) of the gene expression profiles of 4 CTC cell lines (each one in triplicate) and TGCA esophageal (ESCA) and stomach (STAD) cancer samples. b Hallmark GSEA comparison of CTC-derived cell lines versus TGCA dataset of GEC primary tumors showing normalized enrichment scores for the represented genesets (FDR < 25%, p-value < 0.01). Red: genesets enriched in CTC cell lines; blue: genesets enriched in primary GECs c Hallmark GSEA comparison of in-vivo non-invasive CTC-derived cell line (CACTC) versus in-vivo invasive CTC-derived cell lines (RGCTC, LLCTC and NM9CTC) showing normalized enrichment scores for the represented genesets (FDR < 25%, p-value < 0.01). Red: genesets enriched in non-invasive CTC cell line; blue genesets enriched in invasive CTC cell lines (d) Histogram representing somatic mutations detected in at least two cell lines. The different colors indicate different groups of cell lines.
Fig. 5
Fig. 5. Characterization of extracellular vesicles secreted by cell lines.
a Phenotypic characterization of extracellular vesicles isolated from supernatant of exhausted culture media of cell lines obtained by FACS analysis. Histograms represent the mean fluorescence intensity (MFI) of the detected membrane proteins with values > 500 in at least one of the samples. MFI values are reported in the side table. b Cluster analysis and heatmap representation of CTC and commercial GEC cell lines based on the 14 miRNAs contained into EV and differentially expressed between the two groups.
Fig. 6
Fig. 6. Characterization of immune cell differentiation in co-cultures.
a Schematic representation of the co-culture (bioreactor): Isolated PBMCs were seeded in the 3D compartment, while enriched CTCs are seeded in-suspension (2D) with residual PBMCs. After 30 days, proliferating CTCs are visible (brightfield images) and differentiated monocytes are evident both in the 3D scaffold (cells are immune-stained with DAPI, blue) and at the bottom of the ultra-low attachment well (cells are stained with phalloidin, red, and counterstained with DAPI, blue). b Leukocyte differentiation at the bottom of the well is dependent on the presence of differentiated leukocytes in the 3D scaffold. When seeded without the 3D compartment, leukocytes do not differentiate (adhere at the bottom of the ultra-low attachment well) (2D PBMC w/o 3D PBMC), but rather persist in-suspension and then die in about 30 days. Leukocytes in 2D compartment adhere and differentiate only in the presence of differentiated leukocytes in the 3D compartment (2D PBMC w/ 3D PBMC). c Representative immunofluorescence staining of differentiated leukocytes in the 2D-compartment indicating differentiated monocytes with a mixed population of macrophages M2-like profile (CD206 + /CD163 + ) and M1-like profile (CD11c + ), nuclei are in blue. d Representative images confirming the differentiation of monocytes into macrophages in patient co-cultures, Cells multinucleation were verified through the cell-cell fusion marker CD13 (red), CD146 (yellow) as a monocyte-derived subtype of macrophages and CD3 (green) to discriminate any residual T-lymphocyte. e Expression of cell type or lineage-specific genes including ACTA2, PDGFRb (fibroblasts/myofibroblasts), CD163, CD206 (macrophages) and CD14, CD45 as monocyte lineage, using Digital PCR. Expression analysis revealed a mixed population of CD163 + /CD206+ macrophages and fibroblast-like cells ACTA2/PDGFRb+ on 3D compartments seeded with patient’s PBMCs (with, plain colours, or without proliferating CTCs checkered pattern).

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