Evidence map›Paper›PMID 24363124›Full record

ArticleEuropean journal of drug metabolism and pharmacokinetics2014

Quantitative subcellular study of transferrin receptor-targeted doxorubicin and its metabolite in human breast cancer cells.

Jinhui Xu, Yuan Sheng, Feifei Xu, Ying Yu, Yun Chen

Abstract read
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In one paragraph

Article in European journal of drug metabolism and pharmacokinetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 28% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Identification of aFrontiers in pharmacology · 2026
    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

5 authors at 1 institution in 1 country.

Jinhui XuSchool of Pharmacy, Nanjing Medical University, 818 Tian Yuan East Road, Nanjing, 211166, China.
Yuan Sheng
Feifei Xu
Ying Yu
Yun Chen
Nanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The extended use of doxorubicin (DOX) could be limited due to the emergence of drug resistance and cardiotoxicity associated with its treatment. Conjugates of DOX with transferrin (DOX-TRF) can effectively alleviate these side effects, thereby leading to a better treatment. The effectiveness of DOX-TRF could result from the enhancement of transferrin receptor (TfR)-mediated transportation. However, detailed TfR-mediated DOX delivery has not been fully elucidated thus far, which may rely on the quantitative subcellular study of DOX distribution and metabolism. In this study, an immunoisolation assay was developed to isolate the organelles with high purity, yield and integrity. Using this immunoisolation assay together with liquid chromatography-tandem mass spectrometry (LC/MS/MS), the subcellular distribution profiles of DOX and its main metabolite doxorubicinol (DOXol) in human breast cancer cells MCF-7/WT and MCF-7/ADR were determined and compared after the treatment of DOX and DOX-TRF. As expected, DOX-TRF treated cells have a higher drug accumulation compared to DOX treated cells. DOX-TRF was predominantly cytoplasmic. In addition, TfR-mediated transportation had a significant impact on the transformation of DOX to DOXol in the cells. This study provided the evidence that immunoisolation together with LC/MS/MS is an effective technique in subcellular investigations.

Indexed as

Antibiotics, AntineoplasticChromatography, LiquidDoxorubicinFemaleHumansImmunomagnetic SeparationMCF-7 CellsReceptors, TransferrinTandem Mass SpectrometryTissue DistributionAntibiotics, AntineoplasticDoxorubicinReceptors, Transferrin

Identifiers

PMID24363124
OpenAlexW2076130084

What OpenQuestion holds

Textmetadata
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.