Evidence map›Paper›PMID 35326660›Full record

ArticleCancers2022

Distinct Genomic Profiles Are Associated with Treatment Response and Survival in Ovarian Cancer.

Chris J de Witte, Joachim Kutzera, Arne van Hoeck, Luan Nguyen, Ingrid A Boere, Mathilde Jalving, Petronella B Ottevanger, Christa van Schaik-van de Mheen, Marion Stevense, Wigard P Kloosterman and 3 more

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Functional validation of somatic variability inCancer biology & therapy · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

13 authors.

Chris J de WitteCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.
Joachim KutzeraCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.
Arne van HoeckCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.
Luan NguyenCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.
Ingrid A BoereDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-4857-6346
Mathilde JalvingDepartment of Medical Oncology, University Medical Center Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-9142-9050
Petronella B OttevangerDepartment of Medical Oncology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Christa van Schaik-van de MheenDepartment of Medical Oncology, Meander Medical Center, 3813 TZ Amersfoort, The Netherlands.
Marion StevenseDepartment of Medical Oncology, Amphia Hospital, 4818 CK Breda, The Netherlands.ORCID 0000-0001-5998-8066
Wigard P KloostermanCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.
Ronald P ZweemerDepartment of Gynaecological Oncology, Cancer Center, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands.ORCID 0000-0003-1829-7773
Edwin CuppenCenter for Molecular Medicine and Oncode Institute, University Medical Center Utrecht, Utrecht University, 3584 CG Utrecht, The Netherlands.ORCID 0000-0002-0400-9542
Petronella O WitteveenDepartment of Medical Oncology, Cancer Center, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, The Netherlands.

Funding

Dutch Cancer Society UU2015-7743Gieskes Strijbis Foundation 1816199
6 · The paper itself

Abstract

The majority of patients with ovarian cancer ultimately develop recurrent chemotherapy-resistant disease. Treatment stratification is mainly based on histological subtype and stage, prior response to platinum-based chemotherapy, and time to recurrent disease. Here, we integrated clinical treatment, treatment response, and survival data with whole-genome sequencing profiles of 132 solid tumor biopsies of metastatic epithelial ovarian cancer to explore genome-informed stratification opportunities. Samples from primary and recurrent disease harbored comparable numbers of single nucleotide variants and structural variants. Mutational signatures represented platinum exposure, homologous recombination deficiency, and aging. Unsupervised hierarchical clustering based on genomic input data identified specific ovarian cancer subgroups, characterized by homologous recombination deficiency, genome stability, and duplications. The clusters exhibited distinct response rates and survival probabilities which could thus potentially be used for genome-informed therapy stratification for more personalized ovarian cancer treatment.

Indexed as

ovarian cancerpatient stratificationpersonalized treatmenttreatment responsewhole-genome sequencing

Identifiers

PMID35326660
PMCPMC8946149

What OpenQuestion holds

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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.