Evidence map›Paper›PMID 31822719›Full record

ArticleScientific reports2019

Virtual clinical trials identify effective combination therapies in ovarian cancer.

Emilia Kozłowska, Tuulia Vallius, Johanna Hynninen, Sakari Hietanen, Anniina Färkkilä, Sampsa Hautaniemi

Erratum issuedOpen access · goldAbstract 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. An erratum has been issued. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Interplay between altered metabolism and DNA damage and repair in ovarian cancer.BioEssays : news and reviews in molecular, cellular and developmental biology · 2024
    Review
  3. Review
  4. Mathematical Model of Intrinsic Drug Resistance in Lung Cancer.International journal of molecular sciences · 2023
    Article
  5. Review
  6. Article
  7. Ovarian Cancer: Therapeutic Strategies to Overcome Immune Suppression.Advances in experimental medicine and biology · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 3 countries.

Emilia KozłowskaResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Tuulia ValliusDepartment of Oncology and Radiotherapy, Turku University Hospital, University of Turku, Turku, Finland.
Johanna HynninenDepartment of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland.ORCID http://orcid.org/0000-0002-0854-7225
Sakari HietanenDepartment of Obstetrics and Gynecology, Turku University Hospital, University of Turku, Turku, Finland.
Anniina FärkkiläResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland. Anniina_farkkila@dfci.harvard.edu.
Sampsa HautaniemiResearch Program in Systems Oncology, Research Programs Unit, Faculty of Medicine, University of Helsinki, Helsinki, Finland. sampsa.hautaniemi@helsinki.fi.
University of Turku · FIUniversity of Helsinki · FISilesian University of Technology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major issue in oncology is the high failure rate of translating preclinical results in successful clinical trials. Using a virtual clinical trial simulations approach, we present a mathematical framework to estimate the added value of combinatorial treatments in ovarian cancer. This approach was applied to identify effective targeted therapies that can be combined with the platinum-taxane regimen and overcome platinum resistance in high-grade serous ovarian cancer. We modeled and evaluated the effectiveness of three drugs that target the main platinum resistance mechanisms, which have shown promising efficacy in vitro, in vivo, and early clinical trials. Our results show that drugs resensitizing chemoresistant cells are superior to those aimed at triggering apoptosis or increasing the bioavailability of platinum. Our results further show that the benefit of using biomarker stratification in clinical trials is dependent on the efficacy of the drug and tumor composition. The mathematical framework presented herein is suitable for systematically testing various drug combinations and clinical trial designs in solid cancers.

Indexed as

Drug Resistance, NeoplasmResearch DesignAntineoplastic Combined Chemotherapy ProtocolsApoptosisCarcinoma, Ovarian EpithelialClinical Trials as TopicComputer SimulationFemaleHumansIn Vitro TechniquesKaplan-Meier EstimateModels, TheoreticalOvarian NeoplasmsPlatinumTaxoidsPlatinumTaxoids

Identifiers

PMID31822719
PMCPMC6904444
OpenAlexW2994991243

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.