Evidence map›Paper›PMID 33062192›Full record

ArticleOncotarget2020

Ferroptosis of epithelial ovarian cancer: genetic determinants and therapeutic potential.

Chao-Chieh Lin, Jen-Tsan Chi

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 23 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Chao-Chieh LinDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA.
Jen-Tsan ChiDepartment of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA.
Duke University · US

Funding

Metabolic regulation of KLHL proteins through O-glycosylationR01NS111588 · NINDS · DUKE UNIVERSITY · PI BOYCE, MICHAEL S, CHI, JEN-TSAN ASHLEY · 2019 to 2022
$2.1M
Biochemical and functional investigation of the novel enzymatic activities of MESH1R01GM124062 · NIGMS · DUKE UNIVERSITY · PI CHI, JEN-TSAN ASHLEY, ZHOU, PEI · 2018 to 2021
$2.0M
NIGMS NIH HHS R01 GM124062NINDS NIH HHS R01 NS111588
6 · The paper itself

Abstract

Epithelial ovarian cancer (OVCA) is the most lethal gynecologic cancer. Current treatment for OVCA involves surgical debulking of the tumors followed by combination chemotherapies. While most patients achieve complete remission, many OVCA will recur and develop chemo-resistance. Whereas recurrent OVCA may be treated by angiogenesis inhibitors, PARP inhibitors, or immunotherapies, the clinical outcomes of recurrence OVCA are still unsatisfactory. One new promising anti-tumor strategy is ferroptosis, a novel form of regulated cell death featured by lipid peroxidation. In this review, we have summarized several recent studies on the ferroptosis of OVCA. Also, we summarize our current understanding of various genetic determinants of ferroptosis and their underlying mechanisms in OVCA. Furthermore, ferroptosis can be combined with other standard cancer therapeutics, which has shown synergistic effects. Therefore, such a combination of therapeutics could lead to new therapeutic strategies to improve the response rate and overcome resistance. By understanding the genetic determinants and underlying mechanisms, ferroptosis may have significant therapeutic potential to improve the clinical outcome of women with OVCA.

Indexed as

cystineferroptosisGPX4NADPH oxidaseovarian cancer

Identifiers

PMID33062192
PMCPMC7533070
OpenAlexW3091621290

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.