Evidence map›Paper›PMID 42861321›Full record

ReviewDrug design, development and therapy2026

Drug Delivery Systems for Hepatocellular Carcinoma: Bridging Pathophysiological Barriers and Advanced Nanomedicine Strategies.

Guiwen Liang, Chuli Zhu, Hualin Sun, Jiahuan Gong, Yanan Ji, Lei Qi

Abstract readReview
In one paragraph

Review in Drug design, development and therapy, 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

6 authors.

Guiwen Liang *Department of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.
Chuli Zhu *Jiangsu Key Laboratory of Tissue Engineering and Neuroregeneration, Key Laboratory of Neuroregeneration of Ministry of Education, Co-Innovation Center of Neuroregeneration, Medical School of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.
Hualin SunJiangsu Key Laboratory of Tissue Engineering and Neuroregeneration, Key Laboratory of Neuroregeneration of Ministry of Education, Co-Innovation Center of Neuroregeneration, Medical School of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.ORCID 0000-0003-1889-1561
Jiahuan GongJiangsu Key Laboratory of Tissue Engineering and Neuroregeneration, Key Laboratory of Neuroregeneration of Ministry of Education, Co-Innovation Center of Neuroregeneration, Medical School of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.
Yanan JiJiangsu Key Laboratory of Tissue Engineering and Neuroregeneration, Key Laboratory of Neuroregeneration of Ministry of Education, Co-Innovation Center of Neuroregeneration, Medical School of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.
Lei QiDepartment of Emergency Medicine, Affiliated Hospital of Nantong University, Nantong University, Nantong, Jiangsu Province, 226001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, a complex tumor microenvironment, and multiple physiological barriers that limit conventional therapies and cause significant toxicity. Drug delivery systems (DDS), particularly nanoscale delivery systems, offer promising opportunities to overcome these obstacles through passive targeting, active targeting, and stimuli-responsive drug release. Nevertheless, despite substantial progress in preclinical research, the clinical translation of most DDS remains challenging. This review systematically outlines the pathophysiological rationale underpinning DDS design for HCC, including the aberrant vasculature, hypoxia, low pH, overexpressed enzymes and immunosuppressive features of the TME, as well as liver-specific barriers. Subsequently, we comprehensively evaluate the progress and limitations of passive targeting, active targeting, stimuli-responsive, and locoregional delivery systems. Furthermore, we dissect the core bottlenecks currently impeding clinical translation: tumor heterogeneity, the "interlocking chain" effect of multiple biological barriers, uncertainty of the EPR effect, multidrug resistance mechanisms, poorly defined long-term safety of nanocarriers, and the "valley of death" caused by discrepancies between preclinical models and human disease. Finally, we envision future directions: next-generation targeting strategies should focus on CSCs and metastasis; DDS must be deeply integrated with immunotherapy to remodel the immune microenvironment; biomimetic and bio-derived delivery systems may circumvent inherent limitations of synthetic carriers; multifunctional theranostic platforms enable real-time monitoring and personalized treatment; and establishing more clinically relevant animal models alongside personalized DDS design paradigms is key to accelerating translation. Our central argument is that the future success of DDS for HCC will no longer rely on the "showmanship" of individual technologies, but rather on a "systems engineering" approach grounded in a profound understanding of HCC biological heterogeneity, with the core objectives being precise spatiotemporal control of drug distribution and beneficial interactions with the host immune system.

Indexed as

Antineoplastic AgentsCarcinoma, HepatocellularDrug Delivery SystemsLiver NeoplasmsNanomedicineAnimalsHumansTumor MicroenvironmentAntineoplastic Agentsactive targetingclinical translationdrug delivery systemshepatocellular carcinomaimmunotherapynanotechnologytransarterial chemoembolizationtumor microenvironment

Identifiers

PMID42861321
PMCPMC13654291

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.