Evidence map›Paper›PMID 35681748›Full record

ArticleCancers2022

Chemoresistant Cancer Cell Lines Are Characterized by Migratory, Amino Acid Metabolism, Protein Catabolism and IFN1 Signalling Perturbations.

Mitchell Acland, Noor A Lokman, Clifford Young, Dovile Anderson, Mark Condina, Chris Desire, Tannith M Noye, Wanqi Wang, Carmela Ricciardelli, Darren J Creek and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  6. 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

13 authors at 4 institutions in 1 country.

Mitchell AclandClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Noor A LokmanDiscipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0002-2071-5308
Clifford YoungClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Dovile AndersonMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.
Mark CondinaClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Chris DesireClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Tannith M NoyeDiscipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0002-7100-0900
Wanqi WangDiscipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia.
Carmela RicciardelliDiscipline of Obstetrics and Gynaecology, Adelaide Medical School, Robinson Research Institute, The University of Adelaide, Adelaide, SA 5005, Australia.ORCID 0000-0001-7415-1854
Darren J CreekMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.ORCID 0000-0001-7497-7082
Martin K OehlerClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Peter HoffmannClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
Manuela Klingler-HoffmannClinical & Health Sciences, University of South Australia, Adelaide, SA 5095, Australia.
University of South Australia · AUThe University of Adelaide · AUMonash University · AURoyal Adelaide Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemoresistance remains the major barrier to effective ovarian cancer treatment. The molecular features and associated biological functions of this phenotype remain poorly understood. We developed carboplatin-resistant cell line models using OVCAR5 and CaOV3 cell lines with the aim of identifying chemoresistance-specific molecular features. Chemotaxis and CAM invasion assays revealed enhanced migratory and invasive potential in OVCAR5-resistant, compared to parental cell lines. Mass spectrometry analysis was used to analyse the metabolome and proteome of these cell lines, and was able to separate these populations based on their molecular features. It revealed signalling and metabolic perturbations in the chemoresistant cell lines. A comparison with the proteome of patient-derived primary ovarian cancer cells grown in culture showed a shared dysregulation of cytokine and type 1 interferon signalling, potentially revealing a common molecular feature of chemoresistance. A comprehensive analysis of a larger patient cohort, including advanced in vitro and in vivo models, promises to assist with better understanding the molecular mechanisms of chemoresistance and the associated enhancement of migration and invasion.

Indexed as

cancer cell lineschemoresistancemetabolomicsovarian cancerproteomics

Identifiers

PMID35681748
PMCPMC9179525
OpenAlexW4281636294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.