Evidence map›Paper›PMID 41703443›Full record

ArticleMolecular medicine (Cambridge, Mass.)2026

Fluoxetine suppresses triple-negative breast cancer progression by inducing apoptosis, inhibiting Src-mediated invasiveness, and enhancing anti-tumor immunity.

Hsing-Ju Wu, Yueh-Shan Weng, Yu-Chang Liu, Yu-Ting Wei, Pei-Yun Li, Peng-Yi Lee, Fei-Ting Hsu

Abstract read
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Article in Molecular medicine (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Hsing-Ju Wu *Research Assistant Center, Show Chwan Memorial Hospital, Changhua, Taiwan.
Yueh-Shan Weng *Department of Life Sciences, National Central University, Taoyuan, Taiwan.
Yu-Chang Liu *Department of Radiation Oncology, Chang Bing Show Chwan Memorial Hospital, Lukang, Taiwan.
Yu-Ting WeiDivision of Family Medicine, Department of Community Medicine, China Medical University Hospital and China Medical University, Taichung, Taiwan.
Pei-Yun LiManagement Office for Health Data, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Peng-Yi LeeDepartment of Radiation Oncology, Show-Chwan Memorial Hospital, Changhua, Taiwan.
Fei-Ting HsuDepartment of Life Sciences, National Central University, Taoyuan, Taiwan. sakiro920@gmail.com.

Funding

Chang Bing Show Chwan Memorial Hospital, Changhua BRD-111014National Science and Technology Council, Taipei, Taiwan NSTC 112-2314-B-039-063-MY3National Science and Technology Council, Taipei, Taiwan NSTC 112-2314-B-758-001-MY3National Science and Technology Council, Taipei, Taiwan NSTC 113-2811-B-039-028 and NSTC 114-2811-B-008-002
6 · The paper itself

Abstract

background and purposeTriple-negative breast cancer (TNBC) is an aggressive subtype lacking ER, PR, and HER2 expression, with limited treatment options and poor prognosis. Recent evidence suggests the antidepressant fluoxetine may possess antitumor activity. This study evaluated the therapeutic potential and mechanisms of fluoxetine in TNBC.

methodsMDA-MB-231 human and 4T1 murine TNBC cell lines were treated with fluoxetine. Cell viability, apoptosis, migration, invasion, and molecular pathway changes were assessed in vitro. A 4T1 orthotopic mouse model was used to evaluate in vivo antitumor efficacy, toxicity, and immune modulation.

resultsFluoxetine reduced TNBC cell viability in a dose- and time-dependent manner, induced apoptosis via extrinsic (Fas/FasL, caspase-8) and intrinsic (mitochondrial membrane loss, caspase-9) pathways, and activated caspase-3. It inhibited migration and invasion by downregulating VEGF-A, MMP-2, MMP-9, and Cyclin D1, and suppressed the Src/JAK/NF-κB signaling axis and epithelial–mesenchymal transition markers. In vivo, fluoxetine significantly reduced tumor growth without systemic toxicity, enhanced cleaved caspase-3/8/9 expression, suppressed Src/JAK/NF-κB signaling, and increased cytotoxic T lymphocyte activity while reducing tumor-associated macrophages, myeloid-derived suppressor cells, and regulatory T cells. CONCLUSIONS AND IMPLICATIONS: Fluoxetine exerts potent antitumor effects against TNBC by inducing apoptosis, inhibiting metastatic signaling, and enhancing antitumor immunity. These findings support its potential as an adjunctive agent for use in parallel with existing TNBC therapies and warrant further clinical investigation.

Indexed as

Antineoplastic AgentsApoptosisFluoxetinesrc-Family KinasesTriple Negative Breast NeoplasmsAnimalsCell Line, TumorCell MovementCell ProliferationCell SurvivalDisease ProgressionFemaleHumansMDA-MB-231 CellsMiceNeoplasm InvasivenessAntineoplastic AgentsFluoxetinesrc-Family KinasesFluoxetineImmunoregulationMetastasisSrcTriple negative breast cancer

Identifiers

PMID41703443
PMCPMC13014889

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.