TY - JOUR
T1 - Circulating tumor cell clusters are frequently detected in women with early-stage breast cancer
AU - Reduzzi, Carolina
AU - Di Cosimo, Serena
AU - Gerratana, Lorenzo
AU - Motta, Rosita
AU - Martinetti, Antonia
AU - Vingiani, Andrea
AU - D’amico, Paolo
AU - Zhang, Youbin
AU - Vismara, Marta
AU - Depretto, Catherine
AU - Scaperrotta, Gianfranco
AU - Folli, Secondo
AU - Pruneri, Giancarlo
AU - Cristofanilli, Massimo
AU - Daidone, Maria Grazia
AU - Cappelletti, Vera
N1 - Funding Information:
Acknowledgments: We are really grateful to all the patients who donated their blood for this study. We thank Patrizia Miodini for skillful technical assistance in sample processing and Cinzia De Marco for preparing the mammospheres. Fondazione Banca del Monte di Lombardia supported C.R. for a six-months visit to the Northwestern University of Chicago to carry the technological comparison experiments. We thank the Lynn Sage Cancer Research Foundation and the The Foundation Blanceflor Boncompagni Ludovisi, née Bildt that supported this study. Janine Wechsler (ScreenCell, Sarcelles, France) counted the CTC-clusters present on ScreenCell filters, without knowledge of the clinical data. Daniel Adams provided technical support for cluster detection on CellSieve filters. We would like to dedicate this article to the memory of Veronica Graziani and to thank Monica Remiddi and Paolo Graziani for their activity in supporting cancer research.
Funding Information:
Funding: This research was funded by Associazione Italiana per la Ricerca sul Cancro, AIRC (IG 16900-M.G. Daidone; IG 20774-S. Di Cosimo, IG. 21694-V. Cappelletti); European Commission under the 7th Framework Programme, grant agreement N. 260791 Eurocan Platform. C.R. is the recipient of an AIRC fellowship (N. 23916).
Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.
PY - 2021/5/2
Y1 - 2021/5/2
N2 - The clinical relevance of circulating tumor cell clusters (CTC-clusters) in breast cancer (BC) has been mostly studied using the CellSearch®, a marker-dependent method detecting only epithelial-enriched clusters. However, due to epithelial-to-mesenchymal transition, resorting to marker-independent approaches can improve CTC-cluster detection. Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, and ScreenCell® filters. In spiked-in samples, the 3 technologies showed similar recovery capability, whereas, in 19 clinical samples processed in parallel with CellSearch® and CellSieve™ filters, filtration allowed us to detect more CTC-clusters than CellSearch® (median number = 7 versus 1, p = 0.0038). Next, samples from 37 early BC (EBC) and 23 metastatic BC (MBC) patients were processed using ScreenCell® filters for attaining both unbiased enrichment and marker-independent identification (based on cytomorphological criteria). At baseline, CTC-clusters were detected in 70% of EBC cases and in 20% of MBC patients (median number = 2, range 0–20, versus 0, range 0–15, p = 0.0015). Marker-independent approaches for CTC-cluster assessment improve detection and show that CTC-clusters are more frequent in EBC than in MBC patients, a novel finding suggesting that dissemination of CTC-clusters is an early event in BC natural history.
AB - The clinical relevance of circulating tumor cell clusters (CTC-clusters) in breast cancer (BC) has been mostly studied using the CellSearch®, a marker-dependent method detecting only epithelial-enriched clusters. However, due to epithelial-to-mesenchymal transition, resorting to marker-independent approaches can improve CTC-cluster detection. Blood samples collected from healthy donors and spiked-in with tumor mammospheres, or from BC patients, were processed for CTC-cluster detection with 3 technologies: CellSearch®, CellSieve™ filters, and ScreenCell® filters. In spiked-in samples, the 3 technologies showed similar recovery capability, whereas, in 19 clinical samples processed in parallel with CellSearch® and CellSieve™ filters, filtration allowed us to detect more CTC-clusters than CellSearch® (median number = 7 versus 1, p = 0.0038). Next, samples from 37 early BC (EBC) and 23 metastatic BC (MBC) patients were processed using ScreenCell® filters for attaining both unbiased enrichment and marker-independent identification (based on cytomorphological criteria). At baseline, CTC-clusters were detected in 70% of EBC cases and in 20% of MBC patients (median number = 2, range 0–20, versus 0, range 0–15, p = 0.0015). Marker-independent approaches for CTC-cluster assessment improve detection and show that CTC-clusters are more frequent in EBC than in MBC patients, a novel finding suggesting that dissemination of CTC-clusters is an early event in BC natural history.
KW - Circulating tumor cell clusters
KW - Circulating tumor microemboli
KW - Early breast cancer
KW - Liquid biopsy
KW - Metastatic breast cancer
KW - Size-based enrichment
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U2 - 10.3390/cancers13102356
DO - 10.3390/cancers13102356
M3 - Article
AN - SCOPUS:85105720111
SN - 2072-6694
VL - 13
JO - Cancers
JF - Cancers
IS - 10
M1 - 2356
ER -