Evidence map›Paper›PMID 42332744›Full record

ReviewJournal of nanobiotechnology2026

Decoding triple negative breast cancer bone metastasis: from 3D bioprinted models to clinical translation.

Jiahong Xu, Yue Kang, Kedong Song, Jiangli Fan, Yefu Liu

Abstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jiahong XuDepartment of Pancreatic Diagnosis and Treatment Center, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China.
Yue KangDepartment of Breast Cancer Surgery, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China.
Kedong SongDepartment of Pancreatic Diagnosis and Treatment Center, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China. kedongsong@dlut.edu.cn.
Jiangli FanState Key Laboratory of Fine Chemicals, Dalian University of Technology, 2 Linggong Road, Dalian, 116024, China. fanjl@dlut.edu.cn.
Yefu LiuDepartment of Pancreatic Diagnosis and Treatment Center, Cancer Hospital of Dalian University of Technology, Liaoning Cancer Hospital and Institute, Shenyang, China. 97902153@cmu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities DUT25YG106Open Fund of Key Laboratory of Biotechnology and Bioresources Utilization (Dalian Minzu University), Ministry of Education (KF2025007) of China KF2025007the Liaoning Provincial Key Laboratory of Precision Medicine for Malignant Tumours 2021JH13/10200041
6 · The paper itself

Abstract

This review decodes the biological basis of triple-negative breast cancer (TNBC) bone metastasis and critically examines how 3D bioprinted models can bridge mechanistic investigation and clinical translation. We first synthesize the osteolytic vicious cycle, multicellular microenvironmental crosstalk, and pre-metastatic niche remodeling that drive TNBC bone colonization, and then evaluate how bioprinting-based platforms can recapitulate these processes with greater spatial, mechanical, and cellular fidelity than conventional models. Traditional static research models fail to capture this dynamic spatiotemporal complexity, hindering understanding and treatment development. 3D bioprinting overcomes this by creating a biomimetic microenvironment. It uses hydrogel or composite scaffolds to replicate the bone matrix's mechanical properties and biochemical gradients. This integrates tumor cells, vascular networks, and bone stromal cells, dynamically modeling metastatic colonization. This bioprinted system serves as a high-efficiency drug screening platform, enabling systematic assessment of nano-drug delivery and strategies to overcome microenvironment-induced resistance. Clinically, 3D printing directly aids in developing patient-specific bone repair implants and surgical guides for reconstructing metastatic lesions. Critically, these models bridge fundamental research and clinical translation. They allow spatiotemporal visualization/analysis of key signaling pathways in metastasis and facilitate high-throughput screening of bone-targeted combination therapies. Rather than presenting a newly established experimental model, this article provides a focused review of current advances, unresolved technical barriers, and future translational directions for TNBC-oriented 3D bioprinting in bone-metastasis research.

Indexed as

BioprintingBone NeoplasmsPrinting, Three-DimensionalTriple Negative Breast NeoplasmsAnimalsFemaleHumansTissue ScaffoldsTumor Microenvironment3D bioprintingDrug resistancePrecision medicineTriple negative breast cancer bone metastasisTumor microenvironment

Identifiers

PMID42332744
PMCPMC13539735

What OpenQuestion holds

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Registered trials

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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.