Evidence map›Paper›PMID 31882620›Full record

ArticleScientific reports2019

Dissecting multi drug resistance in head and neck cancer cells using multicellular tumor spheroids.

Mohammad Azharuddin, Karin Roberg, Ashis Kumar Dhara, Mayur Vilas Jain, Padraig Darcy, Jorma Hinkula, Nigel K H Slater, Hirak K Patra

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Article
  3. Mechano-Organ-on-Chip for Cancer Research.International journal of molecular sciences · 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

8 authors.

Mohammad AzharuddinDepartment of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden.
Karin RobergDepartment of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden. Karin.roberg@liu.se.ORCID http://orcid.org/0000-0003-1208-9746
Ashis Kumar DharaDepartment of Electrical Engineering, National Institute of Technology Durgapur, Durgapur, India.
Mayur Vilas JainDivision of Molecular Medicine and Gene Therapy, Lund University, Lund, Sweden.
Padraig DarcyDepartment of Medical and Health Sciences (IMH), Division of Drug Research (LÄFO), Linköping University, Linköping, Sweden.
Jorma HinkulaDepartment of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden.
Nigel K H SlaterDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Hirak K PatraDepartment of Clinical and Experimental Medicine (IKE), Linköping University, Linköping, Sweden. hp401@cam.ac.uk.ORCID http://orcid.org/0000-0002-6142-5489

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the hallmarks of cancers is their ability to develop resistance against therapeutic agents. Therefore, developing effective in vitro strategies to identify drug resistance remains of paramount importance for successful treatment. One of the ways cancer cells achieve drug resistance is through the expression of efflux pumps that actively pump drugs out of the cells. To date, several studies have investigated the potential of using 3-dimensional (3D) multicellular tumor spheroids (MCSs) to assess drug resistance; however, a unified system that uses MCSs to differentiate between multi drug resistance (MDR) and non-MDR cells does not yet exist. In the present report we describe MCSs obtained from post-diagnosed, pre-treated patient-derived (PTPD) cell lines from head and neck squamous cancer cells (HNSCC) that often develop resistance to therapy. We employed an integrated approach combining response to clinical drugs and screening cytotoxicity, monitoring real-time drug uptake, and assessing transporter activity using flow cytometry in the presence and absence of their respective specific inhibitors. The report shows a comparative response to MDR, drug efflux capability and reactive oxygen species (ROS) activity to assess the resistance profile of PTPD MCSs and two-dimensional (2D) monolayer cultures of the same set of cell lines. We show that MCSs provide a robust and reliable in vitro model to evaluate clinical relevance. Our proposed strategy can also be clinically applicable for profiling drug resistance in cancers with unknown resistance profiles, which consequently can indicate benefit from downstream therapy.

Indexed as

Drug Resistance, MultipleDrug Resistance, NeoplasmAntineoplastic AgentsHead and Neck NeoplasmsHumansSpheroids, CellularTumor Cells, CulturedAntineoplastic Agents

Identifiers

PMID31882620
PMCPMC6934860

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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.