Evidence map›Paper›PMID 33036656›Full record

ReviewJournal of hematology & oncology2020

High-throughput approaches for precision medicine in high-grade serous ovarian cancer.

Meinusha Govindarajan, Christoph Wohlmuth, Matthew Waas, Marcus Q Bernardini, Thomas Kislinger

Open access · goldAbstract readReview
In one paragraph

Review in Journal of hematology & oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
8.0field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 1 synthesis or guideline pooled it, 91 citations in OpenAlex.

  1. Pooled it
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  16. The Evolution of Next-Generation Sequencing Technologies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
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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

5 authors at 2 institutions in 2 countries.

Meinusha GovindarajanDepartment of Medical Biophysics, University of Toronto, Toronto, Canada.
Christoph WohlmuthDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Matthew WaasPrincess Margaret Cancer Centre, University Health Network, Toronto, Canada.
Marcus Q BernardiniDivision of Gynecologic Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto, Canada. Marcus.Bernardini@uhn.ca.
Thomas KislingerDepartment of Medical Biophysics, University of Toronto, Toronto, Canada. thomas.kislinger@utoronto.ca.ORCID 0000-0003-3525-5540
University Health Network · CAUniversity of Toronto · CA

Funding

CIHR
6 · The paper itself

Abstract

High-grade serous carcinoma (HGSC) is the most prevalent and aggressive subtype of ovarian cancer. The large degree of clinical heterogeneity within HGSC has justified deviations from the traditional one-size-fits-all clinical management approach. However, the majority of HGSC patients still relapse with chemo-resistant cancer and eventually succumb to their disease, evidence that further work is needed to improve patient outcomes. Advancements in high-throughput technologies have enabled novel insights into biological complexity, offering a large potential for informing precision medicine efforts. Here, we review the current landscape of clinical management for HGSC and highlight applications of high-throughput biological approaches for molecular subtyping and the discovery of putative blood-based biomarkers and novel therapeutic targets. Additionally, we present recent improvements in model systems and discuss how their intersection with high-throughput platforms and technological advancements is positioned to accelerate the realization of precision medicine in HGSC.

Indexed as

AnimalsAntineoplastic AgentsBiomarkers, TumorCystadenocarcinoma, SerousDisease ManagementDrug DiscoveryFemaleGene Expression ProfilingHumansLiquid BiopsyMolecular Targeted TherapyOvarian NeoplasmsPrecision MedicineAntineoplastic AgentsBiomarkers, TumorHigh-grade serous carcinomaHigh-throughput technologyLiquid biopsiesMolecular subtypesTherapeutic targets

Identifiers

PMID33036656
PMCPMC7547483
OpenAlexW3092142993

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.