Evidence map›Paper›PMID 41427575›Full record

ArticleInternational journal of surgery (London, England)2026

New insight into the risk stratification and treatment priority of breast cancer: TMT scoring system.

Zhe Qi, Yuechao Yang, Zhisu Wang, Sen Li, Deheng Li, Lei Chen, Mingtao Feng, Changshuai Zhou, Xin Chen, Bin Hao and 4 more

Abstract read
In one paragraph

Article in International journal of surgery (London, England), 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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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Zhe QiDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yuechao YangDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Zhisu WangDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Sen LiDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Deheng LiDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Lei ChenDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Mingtao FengDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Changshuai ZhouDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xin ChenDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Bin HaoDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Xiaojun WuDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yang GaoDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Liangdong LiDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Yiqun CaoDepartment of Neurosurgery, Fudan University Shanghai Cancer Center, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer continues to pose a significant global health burden, accounting for a substantial proportion of cancer-related mortality in women worldwide. Despite advancements in therapeutic strategies, overall survival rates remain suboptimal, underscoring the critical need for innovative prognostic tools to improve patient outcomes.

methodsIn this study, we introduced a novel tumor mitochondria transfer (TMT) scoring system based on 17 core genes to assess mitochondrial dynamics and their potential impact on the tumor microenvironment. Utilizing comprehensive datasets from TCGA-BRCA and GEO databases, we investigated the association between TMT scores and immune-metabolic features at both multi-cell and single-cell resolutions. Single-cell RNA sequencing (scRNA-seq) profiles were used to delineate the biological consequences of mitochondrial transfer. Additionally, co-culture experiments were conducted to validate our findings.

resultsOur analysis revealed that elevated TMT scores are strongly associated with adverse clinical outcomes in patients with breast cancer. Tumors with high TMT scores exhibited pronounced hypoxia, immune suppression, and metabolic reprogramming. Specifically, these tumors demonstrated impaired T-cell functionality and enhanced mitochondrial transfer to tumor cells, suggesting a pivotal role for mitochondrial dynamics in promoting immune evasion and metabolic adaptations that drive tumor progression.

conclusionsThe TMT score may represent a novel prognostic biomarker in breast cancer, highlighting the intricate relationship between mitochondrial transfer and tumor pathophysiology. Our findings suggested that targeting mitochondrial dynamics could be a potential therapeutic avenue for exploration, which might enhance breast cancer management strategies. Further exploration of the mitochondrial mechanisms in cancer biology may pave the way for more precise and effective therapeutic interventions.

Indexed as

immunosuppressionmetabolism reprogrammingmitochondriaT cell

Identifiers

PMID41427575
PMCPMC13105721

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