Evidence map›Paper›PMID 41836727›Full record

ArticleInternational journal of nanomedicine2026

Enhanced Delivery of Aurora Kinase A Inhibitor Alisertib via Tumor-Targeting Immunoliposome Nanocomplex for Improved Treatment of Cancers Including Atypical Teratoid/Rhabdoid Tumor.

Sang-Soo Kim, Manish Moghe, Antonina S Rait, Joe B Harford, Esther H Chang

Abstract read
In one paragraph

Article in International journal of nanomedicine, 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.

Sang-Soo KimDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Manish MogheDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.ORCID 0000-0001-9680-1256
Antonina S RaitDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.
Joe B HarfordSynerGene Therapeutics, Inc., Potomac, MD, USA.
Esther H ChangDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA.ORCID 0000-0003-0292-519X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study explores a nanoparticle-based delivery system for alisertib, a selective aurora kinase A (AURKA) inhibitor. This nanocomplex is designed to enhance tumor-specific delivery. AURKA is overexpressed in various cancers, including atypical teratoid/rhabdoid tumors (ATRTs) and is associated with poor clinical outcomes. Alisertib has demonstrated promising efficacy in multiple preclinical studies, which supported its advancement into clinical trials across various cancer types. However, alisertib has not met key efficacy endpoints primarily due to its poor biodistribution to tumors and inadequate penetration of biological barriers, including the blood-brain barrier (BBB). Our study aims to address these issues. Methods: To address the limitations of alisertib, we developed scL-ALI, a nanocomplex formulation designed to improve BBB penetration and to enhance tumor uptake of alisertib, to achieve higher effective intratumoral doses. Our new formulation of alisertib comprises a cationic liposome encapsulating the kinase inhibitor. This formulation incorporates an anti-transferrin receptor antibody fragment to enable efficient delivery into the central nervous system and facilitate tumor targeting. Here, we assessed the therapeutic efficacy of nano-formulated scL-ALI versus conventional alisertib utilizing patient-derived tumor cells and xenograft tumor models of various cancer types, including ATRT. Additionally, we investigated the potential synergistic effects of combining scL-ALI with radiation therapy, a standard treatment modality for brain tumors. Results: Compared to conventional alisertib, scL-ALI more effectively inhibited AURKA activity and enhanced tumor cell killing of multiple cancer cell lines. In mouse models of ATRT, glioblastoma, and lung cancer, scL-ALI significantly improved tumor growth inhibition relative to conventional unencapsulared alisertib. Furthermore, when combined with radiation therapy, scL-ALI produced further improved antitumor effects, leading to extended survival in ATRT-bearing mice. Conclusion: These findings highlight the superiority of scL-ALI in overcoming delivery barriers and enhancing therapeutic efficacy of alisertib, while possibly minimizing undesirable side effects in normal tissues. The scL-ALI nanocomplex shows enhanced therapeutic potential for treating AURKA-driven malignancies, particularly in combination with radiation therapy.

Indexed as

Antineoplastic AgentsAurora Kinase AAzepinesProtein Kinase InhibitorsPyrimidinesRhabdoid TumorTeratomaAnimalsBlood-Brain BarrierCell Line, TumorFemaleHumansLiposomesMiceMice, NudeNanoparticlesAntineoplastic AgentsAURKA protein, humanAurora Kinase AAzepinesLiposomesMLN 8237Protein Kinase InhibitorsPyrimidinesalisertibatypical teratoid/rhabdoid tumoraurora kinase Ablood-brain barrierlipid nanoparticletargeted nanodelivery

Identifiers

PMID41836727
PMCPMC12988474

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.