Evidence map›Paper›PMID 39113879›Full record

ArticleAmerican journal of cancer research2024

Exploring doxorubicin transport in 2D and 3D models of MDA-MB-231 sublines: impact of hypoxia and cellular heterogeneity on doxorubicin accumulation in cells.

Indrė Januškevičienė, Vilma Petrikaitė

Abstract read
In one paragraph

Article in American journal of cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 3D bioprinting innovations: a new frontier in breast cancer research.Medical oncology (Northwood, London, England) · 2025
    Review
  2. Review
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.

Indrė JanuškevičienėLaboratory of Drug Targets Histopathology, Institute of Cardiology, Lithuanian University of Health Sciences Sukilėlių av., LT-50162 Kaunas, Lithuania.
Vilma PetrikaitėLaboratory of Drug Targets Histopathology, Institute of Cardiology, Lithuanian University of Health Sciences Sukilėlių av., LT-50162 Kaunas, Lithuania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) treatment is challenging due to its aggressive nature and heterogeneity of this type of cancer, characterized by various subtypes and intratumoral diversity. Doxorubicin (DOX) plays a crucial role in TNBC chemotherapy reducing the tumor size and improving patient survival. However, decreased drug uptake and increased resistance in specific cell subpopulations reduce the effectiveness of the treatment. This study explored the differences in DOX transport in MDA-MB-231 phenotypic sublines in cell monolayer (2D model) and cell spheroids (3D cultures). Cell spheroids were formed using magnetic 3D Bioprinting method. DOX transport into cells and spheroids was evaluated using fluorescence microscopy after different incubation durations with DOX in normoxia and hypoxia. In hypoxia, DOX transport into cells was 2.5 to 5-fold lower than in normoxia. The subline F5 monolayer-cultured cells exhibited the highest DOX uptake, while subline H2 cells showed the lowest uptake in normoxia and hypoxia. In 3D cultures, DOX transport was up to 2-fold lower in spheroids formed from subline H2 cells. Spheroids from subline D8 and MDA-MB-231 parent cells had the highest DOX uptake. A correlation was observed between the characteristics of the cells and their resistance to anticancer drugs. The results indicate that different cancer cell subpopulations in tumours due to differences in drug uptake could significantly impact treatment efficacy.

Indexed as

cell sublinesdoxorubicin transportdrug resistanceHeterogeneityhypoxiatumor spheroids

Identifiers

PMID39113879
PMCPMC11301288

What OpenQuestion holds

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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.