Evidence map›Paper›PMID 30669514›Full record

ReviewCancers2019

Platinum Resistance in Ovarian Cancer: Role of DNA Repair.

Giovanna Damia, Massimo Broggini

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
174citing papers in PubMed, 2 pooled it
16.6field-weighted citation impact, top 1% 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

174 citing papers in PubMed, 2 syntheses or guidelines pooled it, 296 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Epigenetic Repression ofBiomolecules & therapeutics · 2026
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114 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Giovanna DamiaLaboratory of Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, via G. La Masa 19, 20156 Milan, Italy. giovanna.damia@marionegri.it.
Massimo BrogginiLaboratory of Molecular Pharmacology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, via G. La Masa 19, 20156 Milan, Italy. massimo.broggini@marionegri.it.ORCID 0000-0002-8138-9358
Mario Negri Institute for Pharmacological Research · IT

Funding

Associazione Italiana per la Ricerca sul Cancro IG-19797
6 · The paper itself

Abstract

Epithelial ovarian cancer (EOC) is the most lethal gynecological cancer. It is initially responsive to cisplatin and carboplatin, two DNA damaging agents used in first line therapy. However, almost invariably, patients relapse with a tumor resistant to subsequent treatment with platinum containing drugs. Several mechanisms associated with the development of acquired drug resistance have been reported. Here we focused our attention on DNA repair mechanisms, which are fundamental for recognition and removal of platinum adducts and hence for the ability of these drugs to exert their activity. We analyzed the major DNA repair pathways potentially involved in drug resistance, detailing gene mutation, duplication or deletion as well as polymorphisms as potential biomarkers for drug resistance development. We dissected potential ways to overcome DNA repair-associated drug resistance thanks to the development of new combinations and/or drugs directly targeting DNA repair proteins or taking advantage of the vulnerability arising from DNA repair defects in EOCs.

Indexed as

cisplatinDNA damage responseDNA damaging agentsDNA polymorphismsDNA repairdrug resistancegene mutationshomologous recombinationnucleotide excision repairovarian cancer

Identifiers

PMID30669514
PMCPMC6357127
OpenAlexW2908832432

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.