Evidence map›Paper›PMID 25213777›Full record

ArticlePharmaceutical research2015

Liposome encapsulated albumin-paclitaxel nanoparticle for enhanced antitumor efficacy.

Hima Bindu Ruttala, Young Tag Ko

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Liposomal Delivery ofPharmaceutics · 2026
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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

2 authors.

Hima Bindu RuttalaCollege of Pharmacy, Gachon University, 191 Hambakmoero Yeonsu-gu, Incheon, 406-799, Republic of Korea.
Young Tag Ko

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlbumin nanoparticles have been explored as a promising delivery system for various therapeutic agents. One limitation of such formulations is their poor colloidal stability in vivo. Present study aimed at enhancing the chemotherapeutic potential of paclitaxel by improving the colloidal stability and pharmacokinetic properties of albumin-paclitaxel nanoparticles (APNs) such as Abraxane®.

methodsThis was accomplished by encapsulating the preformed APNs into PEGylated liposomal bilayer by thin-film hydration/extrusion technique.

resultsThe resulting liposome-encapsulated albumin-paclitaxel hybrid nanoparticles (L-APNs) were nanosized (~200 nm) with uniform spherical dimensions. The successful incorporation of albumin-paclitaxel nanoparticle (NP) in liposome was confirmed by size exclusion chromatography analysis. Such hybrid NP showed an excellent colloidal stability even at 100-fold dilutions, overcoming the critical drawback associated with simple albumin-paclitaxel NP system. L-APNs further showed higher cytotoxic activity towards B16F10 and MCF-7 cells than APN; this effect was characterized by arrest at the G2/M phase and a higher prevalence of apoptotic subG1 cells. Finally, pharmacokinetic and biodistribution studies in tumor mice demonstrated that L-APNs showed a significantly enhanced plasma half-life, and preferential accumulation in the tumor.

conclusionsTaken together, the data indicate that L-APNs can be promising therapeutic vehicles for enhanced delivery of PTX to tumor sites.

Indexed as

NanoparticlesAlbumin-Bound PaclitaxelAlbuminsAnimalsAntineoplastic Agents, PhytogenicBreast NeoplasmsCell SurvivalChemistry, PharmaceuticalDrug StabilityFemaleG2 Phase Cell Cycle CheckpointsHalf-LifeHumansInjections, IntravenousLipidsLiposomesAlbumin-Bound PaclitaxelAlbuminsAntineoplastic Agents, PhytogenicLipidsLiposomesPaclitaxelPolyethylene Glycols

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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.