A Tissue Factor Bi-Specific T-Cell Engager Provides Effective Targeting and Cytotoxicity Against Cervical Cancer Cell Lines

Tissue factor (TF), also known as CD142, is a 47 kDa transmembrane glycoprotein belonging to the class II cytokine receptors superfamily. High expression of TF has been reported to be correlated with poor prognosis in various cancers. In this study, we aimed to clarify the cytotoxicity of bi-specific T-cell engagers (BiTE) targeting TF on cervical cancer cell lines. We designed and characterized the novel humanized BiTE targeting TF using an anti-human CD3 single-chain variable fragment (scFv) linked to human TF scFv. TF-Bite replication and potency were assessed in cervical cancer cell lines. The expression of the TF-BiTE and the activation and proliferation of T cells induced along with the T-cell-mediated cytotoxicity were evaluated by flow cytometry in vitro. TF expression was confirmed in SiHa, ME-180, and HeLa cell lines. The TF-BiTE showed potent TF-specific cytotoxicity and induced T-cell activation, proliferation, degranulation, and cytokine release. These effects were not observed in TF-negative control cells. Our findings support TF-BiTE as a promising therapeutic candidate for cervical cancer immunotherapy.

Authors

Institutions

Publication Details

Journal
International Journal of Molecular Sciences
Published
2025-09-13
DOI
https://doi.org/10.3390/ijms26188941
Citations
1
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
1.05
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Tissue Factor Bi-Specific T-Cell Engager Provides Effective Targeting and Cytotoxicity Against Cervical Cancer Cell Lines

Hye Yon Cho, Bo-Rim Seo, Sung Taek Park, Hyeong Su Kim et al.
1 citations
International Journal of Molecular Sciences
CAR-T cell therapy research
1.05
article

A Tissue Factor Bi-Specific T-Cell Engager Provides Effective Targeting and Cytotoxicity Against Cervical Cancer Cell Lines

Hye Yon Cho, Bo-Rim Seo, Sung Taek Park, Hyeong Su Kim, Gilhyang Kim, Soo Jeong, Kyung-jun Lee
article en
1 citations

Abstract

Tissue factor (TF), also known as CD142, is a 47 kDa transmembrane glycoprotein belonging to the class II cytokine receptors superfamily. High expression of TF has been reported to be correlated with poor prognosis in various cancers. In this study, we aimed to clarify the cytotoxicity of bi-specific T-cell engagers (BiTE) targeting TF on cervical cancer cell lines. We designed and characterized the novel humanized BiTE targeting TF using an anti-human CD3 single-chain variable fragment (scFv) linked to human TF scFv. TF-Bite replication and potency were assessed in cervical cancer cell lines. The expression of the TF-BiTE and the activation and proliferation of T cells induced along with the T-cell-mediated cytotoxicity were evaluated by flow cytometry in vitro. TF expression was confirmed in SiHa, ME-180, and HeLa cell lines. The TF-BiTE showed potent TF-specific cytotoxicity and induced T-cell activation, proliferation, degranulation, and cytokine release. These effects were not observed in TF-negative control cells. Our findings support TF-BiTE as a promising therapeutic candidate for cervical cancer immunotherapy.

International Journal of Molecular SciencesVol. 26(18)
Johns Hopkins University (US), Hallym University (KR), Sacred Heart Hospital (NG), Sacred Heart Hospital (US), Hallym University Kangnam Sacred Heart Hospital (KR), Kangbuk Samsung Hospital (KR), Hallym University Medical Center (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 18%
CAR-T cell therapy research
1.05
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.