Evidence map›Paper›PMID 38727322›Full record

ReviewCells2024

Deciphering the Molecular Mechanisms behind Drug Resistance in Ovarian Cancer to Unlock Efficient Treatment Options.

Mariana Nunes, Carla Bartosch, Miguel Henriques Abreu, Alan Richardson, Raquel Almeida, Sara Ricardo

Abstract readReview
In one paragraph

Review in Cells, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Autophagy in Ovarian Cancer, an Opportunity or an Additional Threat?International journal of molecular sciences · 2026
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Review
  17. 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

6 authors.

Mariana NunesDifferentiation and Cancer Group, Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.ORCID 0000-0002-4733-5778
Carla BartoschPorto Comprehensive Cancer Center Raquel Seruca (PCCC), Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072 Porto, Portugal.
Miguel Henriques AbreuPorto Comprehensive Cancer Center Raquel Seruca (PCCC), Portuguese Oncology Institute of Porto (IPO-Porto), 4200-072 Porto, Portugal.
Alan RichardsonThe School of Pharmacy and Bioengineering, Guy Hilton Research Centre, Keele University, Thornburrow Drive, Stoke-on-Trent ST4 7QB, Staffordshire, UK.ORCID 0000-0003-1825-3375
Raquel AlmeidaDifferentiation and Cancer Group, Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.
Sara RicardoDifferentiation and Cancer Group, Institute for Research and Innovation in Health (i3S), University of Porto, 4200-135 Porto, Portugal.ORCID 0000-0003-4091-2226

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ovarian cancer is a highly lethal form of gynecological cancer. This disease often goes undetected until advanced stages, resulting in high morbidity and mortality rates. Unfortunately, many patients experience relapse and succumb to the disease due to the emergence of drug resistance that significantly limits the effectiveness of currently available oncological treatments. Here, we discuss the molecular mechanisms responsible for resistance to carboplatin, paclitaxel, polyadenosine diphosphate ribose polymerase inhibitors, and bevacizumab in ovarian cancer. We present a detailed analysis of the most extensively investigated resistance mechanisms, including drug inactivation, drug target alterations, enhanced drug efflux pumps, increased DNA damage repair capacity, and reduced drug absorption/accumulation. The in-depth understanding of the molecular mechanisms associated with drug resistance is crucial to unveil new biomarkers capable of predicting and monitoring the kinetics during disease progression and discovering new therapeutic targets.

Indexed as

Drug Resistance, NeoplasmOvarian NeoplasmsAntineoplastic AgentsFemaleHumansAntineoplastic Agentsbevacizumabdrug resistance mechanismsovarian cancerplatinumpolyadenosine diphosphate ribose polymerase inhibitorstaxanes

Identifiers

PMID38727322
PMCPMC11083313

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.