Evidence map›Paper›PMID 40785948›Full record

ReviewInternational journal of nanomedicine2025

Application of Nanotechnology in TACE Treatment of Liver Cancer.

Linmei Yao, Zixuan Gao, Xin Wei, Shuojie Wang, Weihua Cao, Wen Deng, Xinxin Li, Ziyu Zhang, Shiyu Wang, Yaqin Zhang and 3 more

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. [Exploration and application of nanotechnology in precision transarterial chemoembolization for hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. Review
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

13 authors.

Linmei Yao *Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Zixuan Gao *Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Xin Wei *Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Shuojie Wang *Department of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Weihua CaoDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Wen DengDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Xinxin LiDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Ziyu ZhangDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Shiyu WangDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Yaqin ZhangDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Ruyu LiuDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Yao XieDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.
Minghui LiDepartment of Hepatology Division 2, Beijing Ditan Hospital, Capital Medical University, Beijing, 100015, People's Republic of China.ORCID 0000-0003-3233-5473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cancer, particularly hepatocellular carcinoma (HCC), remains a global health challenge with limited therapeutic options for advanced stages. Transarterial chemoembolization (TACE), the first-line treatment for intermediate and advanced-stage HCC, faces limitations such as incomplete tumor embolization and systemic toxicity. This review synthesizes recent advancements in nanotechnology to address these challenges, focusing on nanoparticles (NPs) as embolic agents, drug carriers, and imaging contrast agents. Nanoparticle-based drug delivery systems (eg, gold NPs, liposomes) enable localized drug release in tumors, enhancing chemotherapy efficacy while minimizing systemic side effects. Multimodal imaging NPs (eg, superparamagnetic iron oxide NPs, gadolinium-based NPs) enhance real-time visualization of tumor vasculature during TACE, facilitating precise embolization and treatment monitoring. Additionally, combining NPs with photothermal therapy or anti-angiogenic agents (eg, sorafenib) demonstrates synergistic effects in inhibiting tumor recurrence and metastasis. In conclusion, nanotechnology significantly enhances TACE's precision and efficacy through targeted delivery and multimodal imaging, though challenges in biocompatibility, safety, stability, and large-scale production require urgent attention. Future studies should focus on developing multifunctional nanocarriers and personalized nanomedicine strategies to optimize clinical outcomes for HCC patients.

Indexed as

Carcinoma, HepatocellularChemoembolization, TherapeuticLiver NeoplasmsNanotechnologyAnimalsAntineoplastic AgentsContrast MediaDrug CarriersDrug Delivery SystemsHumansNanomedicineNanoparticlesAntineoplastic AgentsContrast MediaDrug Carriersdrug delivery carriersimagingliver cancernanoparticlestransarterial chemoembolization

Identifiers

PMID40785948
PMCPMC12333624

What OpenQuestion holds

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Registered trials

None linked

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.