Evidence map›Paper›PMID 34161278›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Computational modeling of ovarian cancer dynamics suggests optimal strategies for therapy and screening.

Shengqing Gu, Stephanie Lheureux, Azin Sayad, Paulina Cybulska, Liat Hogen, Iryna Vyarvelska, Dongsheng Tu, Wendy R Parulekar, Matthew Nankivell, Sean Kehoe and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Epigenetic Modulation of Estrogen Receptor Signaling in Ovarian Cancer.International journal of molecular sciences · 2024
    Review
  6. Article
  7. Heterogeneity and treatment landscape of ovarian carcinoma.Nature reviews. Clinical oncology · 2023
    Review
  8. Review
  9. Perspectives on Ovarian Cancer 1809 to 2022 and Beyond.Diagnostics (Basel, Switzerland) · 2022
    Article
  10. 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

17 authors at 7 institutions in 3 countries.

Shengqing GuPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.ORCID 0000-0002-4200-0864
Stephanie LheureuxPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Azin SayadPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Paulina CybulskaPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.ORCID 0000-0002-6038-9906
Liat HogenPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Iryna VyarvelskaPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.ORCID 0000-0002-6000-7015
Dongsheng TuCanadian Cancer Trials Group, Queens University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0003-4842-2184
Wendy R ParulekarCanadian Cancer Trials Group, Queens University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-6007-7494
Matthew NankivellMedical Research Council Clinical Trials Unit, University College London, London WC1V6LJ, United Kingdom.
Sean KehoeInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B152TT, United Kingdom.
Dennis S ChiGynecology Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY 10065.ORCID 0000-0002-3105-8913
Douglas A LevineLaura and Isaac Perlmutter Cancer Center, New York University-Langone Medical Center, New York, NY 10016.
Marcus Q BernardiniPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Barry RosenPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Amit OzaPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada.
Myles BrownCenter for Functional Cancer Epigenetics, Dana-Farber Cancer Institute, Boston, MA 02215; myles_brown@dfci.harvard.edu benjamin.neel@nyulangone.org.ORCID 0000-0002-8213-1658
Benjamin G NeelPrincess Margaret Cancer Center, University Health Network, Toronto, ON M5G 2M9, Canada; myles_brown@dfci.harvard.edu benjamin.neel@nyulangone.org.ORCID 0000-0002-9589-585X
University Health Network · CAQueen's University · CADana-Farber Cancer Institute · USMemorial Sloan Kettering Cancer Center · USNYU Langone Health · USUniversity College London · GBUniversity of Birmingham · GB

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Medical Research Council MC_UU_12023/25NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

High-grade serous tubo-ovarian carcinoma (HGSC) is a major cause of cancer-related death. Treatment is not uniform, with some patients undergoing primary debulking surgery followed by chemotherapy (PDS) and others being treated directly with chemotherapy and only having surgery after three to four cycles (NACT). Which strategy is optimal remains controversial. We developed a mathematical framework that simulates hierarchical or stochastic models of tumor initiation and reproduces the clinical course of HGSC. After estimating parameter values, we infer that most patients harbor chemoresistant HGSC cells at diagnosis and that, if the tumor burden is not too large and complete debulking can be achieved, PDS is superior to NACT due to better depletion of resistant cells. We further predict that earlier diagnosis of primary HGSC, followed by complete debulking, could improve survival, but its benefit in relapsed patients is likely to be limited. These predictions are supported by primary clinical data from multiple cohorts. Our results have clear implications for these key issues in HGSC management.

Indexed as

Computer SimulationEarly Detection of CancerAgedCohort StudiesCystadenocarcinoma, SerousCytoreduction Surgical ProceduresFemaleHumansMiddle AgedModels, BiologicalNeoadjuvant TherapyNeoplasm GradingOvarian NeoplasmsSurvival AnalysisTreatment OutcomeTumor Burdencomputational modelneoadjuvant chemotherapyovarian cancerprimary debunking surgery

Identifiers

PMID34161278
PMCPMC8237655
OpenAlexW3169546790

What OpenQuestion holds

Textmetadata
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.