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Usage Information

Polyclonal antibodies selectively inhibit tumor growth and invasion and synergize with immune checkpoint inhibitors
Carine Ciron, Pierre Morice, Juliette Rousse, Patrice Roy, Pierre-Joseph Royer, Olivier Gauthier, Sophie Brouard, Odile Duvaux, Firas Bassissi, Bernard Vanhove
Carine Ciron, Pierre Morice, Juliette Rousse, Patrice Roy, Pierre-Joseph Royer, Olivier Gauthier, Sophie Brouard, Odile Duvaux, Firas Bassissi, Bernard Vanhove
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Research Article Oncology

Polyclonal antibodies selectively inhibit tumor growth and invasion and synergize with immune checkpoint inhibitors

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Abstract

Heterologous polyclonal antibodies (pAb) were shown to possess oncolytic properties a century ago with reported clinical responses. More recent preclinical models confirmed pAb efficacy, though their ability to tackle complex target antigens reduces susceptibility to tumor escape. Owing to the recent availability of glyco-humanized pAb (GH-pAb) with acceptable clinical toxicology profile, we revisited use of pAb in oncology and highlighted their therapeutic potential against multiple cancer types. Murine antitumor pAb were generated after repeated immunization of rabbits with murine tumor cell lines from hepatocarcinoma, melanoma, and colorectal cancers. Antitumor pAb recognized and showed cytotoxicity against their targets without cross-reactivity with healthy tissues. In vivo, pAb are effective alone; moreover, these pAb synergize with immune checkpoint inhibitors like anti–PD-L1 in several cancer models. They elicited an antitumor host immune response and prevented metastases. The anticancer activity of pAb was also confirmed in xenografted NMRI nude mice using GH-pAb produced by repeated immunization of pigs with human tumor cell lines. In conclusion, the availability of bioengineered GH-pAb allows for revisiting of passive immunotherapy with oncolytic pAb to fight against solid tumor and cancer metastasis.

Authors

Carine Ciron, Pierre Morice, Juliette Rousse, Patrice Roy, Pierre-Joseph Royer, Olivier Gauthier, Sophie Brouard, Odile Duvaux, Firas Bassissi, Bernard Vanhove

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 1,460 176
PDF 269 41
Figure 538 0
Table 109 0
Supplemental data 80 0
Citation downloads 82 0
Totals 2,538 217
Total Views 2,755

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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