Evidence map›Paper›PMID 42381077›Full record

ArticleBreast cancer research : BCR2026

Exploring LTB-mediated T cell differentiation as a prognostic marker in triple-negative breast cancer.

Xuekai Wang, Yingxiao Ni, Yang Shi, Xiaofeng Yu, Chenchen Wu, Zhuo Xiang, Wei Lv, Qiang Wang

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xuekai WangKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Yingxiao NiKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Yang ShiKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Xiaofeng YuClinical Medical Research Center, Shandong Second Provincial General Hospital, Jinan, 250023, China.
Chenchen WuClinical Medical Research Center, Shandong Second Provincial General Hospital, Jinan, 250023, China.
Zhuo XiangKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China.
Wei LvDepartment of Breast and Thyroid Surgery, Shandong Provincial Hospital, Affiliated to Shandong First Medical University, Jinan, 250021, Shandong, China. lvwei09@hotmail.com.
Qiang WangKey Laboratory of Marine Drugs, Ministry of Education, School of Medicine and Pharmacy, Ocean University of China, Qingdao, 266003, China. wangqiang401@gmail.com.ORCID https://orcid.org/0000-0003-2614-9201

Funding

National Natural Science Foundation of China 81972793Natural Science Foundation of Shandong Province ZR2020MH226Taishan Scholar Foundation of Shandong Province tsqn202312378
6 · The paper itself

Abstract

Immune infiltration in triple-negative breast cancer (TNBC) is associated with patient prognosis. However, the precise phenotypic classifications of immune infiltration in TNBC remain unclear, and the key regulatory mechanisms underlying this process require further investigation. In this study, we employed transcriptomic and single-cell data analysis, utilizing unsupervised clustering to classify the immune microenvironment of TNBC. We constructed a prognostic model based on immune phenotypes and further validated the regulatory role of key genes in immune cell modulation. Through unsupervised clustering analysis of the GEO and METABRIC databases, we identified two distinct immune infiltration phenotypes in TNBC tumor tissues. Notably, patients with high immune infiltration exhibited significantly prolonged overall survival (OS). Subsequent analysis of tumor tissues from high/low immune infiltration groups revealed five differentially expressed genes (DEGs), which were significantly correlated with patient prognosis: lymphotoxin β (LTB), interferon regulatory factor 8 (IRF8), indoleamine 2,3-dioxygenase 1 (IDO1), integral membrane protein 2A (ITM2A), and lymphocyte cytosolic protein 1 (LCP1). A prognostic model for TNBC was developed based on the five key genes. Furthermore, we demonstrated a significant association between LTB expression and enhanced immune effects in TNBC tissues. Single-cell sequencing data revealed that LTB expression was predominantly localized to immune-infiltrating T cells, which tended to differentiate toward cytotoxic T cells. We also confirmed that LTB expression improved T cell proliferation and enhanced the tumoricidal effect by modulating T cell differentiation pathways. In conclusion, immune infiltration phenotype is a crucial prognostic biomarker for TNBC patients. LTB contributes to enhanced immune infiltration, making as a promising target for immune therapy in TNBC.

Indexed as

Biomarkers, TumorCell DifferentiationT-LymphocytesTriple Negative Breast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphocytes, Tumor-InfiltratingPrognosisTumor MicroenvironmentBiomarkers, TumorImmune infiltrationLymphotoxin βPrognostic modelT cellTriple-negative breast cancer

Identifiers

PMID42381077
PMCPMC13584363

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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.