Evidence map›Paper›PMID 39835547›Full record

ArticleRecent patents on anti-cancer drug discovery2025

A Three-agent Regimen for Triple Negative Breast Cancer Treatment.

Shaojun Wang, Congxiu Huang, Ying Zhu, Min Wang, Wei Wang, Caixia Liu, Wuyun Su

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Article in Recent patents on anti-cancer drug discovery, 2025. 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.

Shaojun WangDepartment of Medical Oncology, Affiliated Hospital of Inner Mongolia Medical University, NO1 Tongdao Northern Road, Hohhot, 010050, China.ORCID 0009-0003-8651-3914
Congxiu HuangDepartment of Radiotherapy, Affiliated Hospital of Inner Mongolia Medical University, NO1 Tongdao Northern Road, Hohhot, 010050, China.
Ying ZhuDepartment of Internal Medicine, Hohhot Traditional Chinese Medicine Mongolian Medical Hospital, Baotou Eastern Road, Hohhot, 010020, China.
Min WangDepartment of Gastrointestinal and Hepatology, Erasmus MC, Dr. Molewaterplein 40, Rotterdam,3015GD, Netherland.
Wei WangDepartment of Medical Oncology, Affiliated Hospital of Inner Mongolia Medical University, NO1 Tongdao Northern Road, Hohhot, 010050, China.
Caixia LiuDepartment of Medical Oncology, Affiliated Hospital of Inner Mongolia Medical University, NO1 Tongdao Northern Road, Hohhot, 010050, China.
Wuyun SuDepartment of Medical Oncology, Affiliated Hospital of Inner Mongolia Medical University, NO1 Tongdao Northern Road, Hohhot, 010050, China.

Funding

Inner Mongolia Autonomous Region Natural Science Foundation, China 2021MS08079
6 · The paper itself

Abstract

backgroundTriple-negative breast cancer (TNBC) has a poor prognosis with current treatment options. Novel therapeutic strategies are urgently needed to enhance treatment outcomes for TNBC.

objectiveThis study evaluated the efficacy of a three-agent regimen compared to existing treatment regimens in a TNBC mouse model, and elucidated its potential mechanisms of action.

methodsThe TNBC xenograft tumor mouse model was established using a 4T1 cell line in female BALB/c mice. Mice were treated with the three-agent regimen and other comparative treatments. Tumor volume was monitored to assess the anti-tumor effects. Biochemical and pathological evaluations were conducted to examine the impact of the regimen on anti-tumor immunity, anti- tumor angiogenesis, and tumor cell apoptosis.

resultsThe three-agent regimen consisting of SIN+BEV+PAB demonstrated significant anti-tumor efficacy compared to controls, PAB alone, SIN+PAB, and BEV+PAB groups from day 9 of drug administration. The superior anti-tumor effect of SIN+BEV+PAB was primarily attributed to enhanced anti-tumor immunity, evidenced by increased percentages of CD4+ and CD8+ T cells, elevated IFN-γ levels, and decreased percentages of Tregs, reduced levels of TGF-β, IL-6, and IL-10. Additionally, the regimen showed potent anti-angiogenic effects by reducing VEGF expression and micro vessel density (MVD). Furthermore, it promoted tumor cell apoptosis through upregulation of BAX and cleaved caspase3, while downregulating Bcl2.

conclusionThese findings suggest that the novel three-agent combination of SIN+BEV+PAB may prove beneficial in improving treatment outcomes for patients with TNBC. The development of this regimen, which may be eligible for patent protection, could facilitate its introduction as a new therapeutic option for advanced TNBC in clinical practice.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsTriple Negative Breast NeoplasmsAnimalsApoptosisCell Line, TumorFemaleHumansMiceMice, Inbred BALB CNeovascularization, PathologicXenograft Model Antitumor Assaysangiogenesis inhibitors.antineoplastic agentsimmunotherapyTriple negative breast neoplasmstumor microenvironmentxenograft model antitumor assays

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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.