Evidence map›Paper›PMID 41578333›Full record

ReviewJournal of nanobiotechnology2026

Sorafenib nanomedicine in HCC: nano-bio interactions and combination therapies.

Tingxuan Lu, Wen Zhu, Chenshi Lin, Zhenqing Zhang, Lina H K Lim, Jianzhou Cui

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

6 authors.

Tingxuan LuImmunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Wen ZhuJiangsu Key Laboratory of Drug Discovery and Translational Research for Brain Diseases, College of Pharmaceutical Sciences, Soochow University, Jiangsu, Suzhou, China.
Chenshi LinImmunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Zhenqing ZhangJiangsu Key Laboratory of Drug Discovery and Translational Research for Brain Diseases, College of Pharmaceutical Sciences, Soochow University, Jiangsu, Suzhou, China. z_zhang@suda.edu.cn.
Lina H K LimImmunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. linalim@nus.edu.sg.
Jianzhou CuiImmunology Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. jzcui@u.nus.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with systemic therapies offering only limited benefit. Sorafenib, the first-line multi-kinase inhibitor, is constrained by poor pharmacokinetics, dose-limiting toxicities, and the rapid emergence of resistance. Nanotechnology-based drug delivery systems (NDDS) provide promising strategies to address these limitations. This review summarizes recent NDDS innovations that enhance sorafenib's therapeutic efficacy in HCC. Major nanocarrier classes, including lipid-based, polymeric, inorganic, and biogenic platforms, are discussed together with modifications for passive or active tumor targeting, such as asialoglycoprotein receptor-mediated approaches. Special attention is given to stimuli-responsive systems that exploit tumor microenvironmental cues to achieve localized drug release. Co-delivery strategies that combine sorafenib with chemotherapeutics, RNA interference agents, or immune modulators are also highlighted for their capacity to amplify antitumor activity and overcome resistance. Artificial intelligence (AI) is emerging as a tool to support the rational design and personalization of nanomedicines. While encouraging preclinical evidence demonstrates improved pharmacokinetics, tumor accumulation, and efficacy, challenges in scalable production, biosafety, and regulatory approval remain. Collectively, these developments emphasize the potential of sorafenib nanomedicines while underscoring the need to resolve key barriers for clinical translation.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularLiver NeoplasmsNanomedicineSorafenibAnimalsDrug CarriersDrug Delivery SystemsHumansNanoparticlesTumor MicroenvironmentAntineoplastic AgentsDrug CarriersSorafenibArtificial IntelligenceHepatocellular carcinomaLipid-based nanocarriersNanomedicineSorafenibStimuli-responsive deliveryTumor microenvironment

Identifiers

PMID41578333
PMCPMC12853795

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.