Evidence map›Paper›PMID 36077735›Full record

ArticleCancers2022

Molecular Analysis of Short- versus Long-Term Survivors of High-Grade Serous Ovarian Carcinoma.

Elaine Stur, Emine Bayraktar, Graziela Zibetti Dal Molin, Sherry Y Wu, Lingegowda S Mangala, Hui Yao, Ying Wang, Prahlad T Ram, Sara Corvigno, Hu Chen and 9 more

Open access · goldAbstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

19 authors at 8 institutions in 3 countries.

Elaine SturDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Emine BayraktarDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Graziela Zibetti Dal MolinMedical Oncology Department, Beneficencia Portuguesa de Sao Paulo, Sao Paulo 13900-400, Brazil.
Sherry Y WuSchool of Biomedical Sciences, The University of Queensland, St. Lucia, QLD 4072, Australia.
Lingegowda S MangalaDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hui YaoDepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Ying WangDepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Prahlad T RamDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Sara CorvignoDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Hu ChenDepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-5472-7158
Han LiangDepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Shelley S TworogerDepartment of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL 33612, USA.ORCID 0000-0002-6986-7046
Douglas A LevineDivision of Gynecologic Oncology, New York University, New York, NY 11580, USA.
Susan K LutgendorfDepartment of Psychological & Brain Sciences, The University of Iowa, Iowa City, IA 52242, USA.
Jinsong LiuDepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kathleen N MooreDepartment of Gynecologic Oncology, The University of Oklahoma, Oklahoma City, OK 73117, USA.
Keith A BaggerlyDepartment of Bioinformatics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Beth Y KarlanDepartment of Obstetrics and Gynecology, University of California, Los Angeles, CA 90095, USA.ORCID 0000-0002-9451-2933
Anil K SoodDepartment of Gynecologic Oncology & Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
The University of Texas MD Anderson Cancer Center · USBeneficência Portuguesa de São Paulo · BRGynecologic Oncology Group · USMoffitt Cancer Center · USOklahoma City University · USThe University of Queensland · AUUniversity of California, Los Angeles · USUniversity of Iowa · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Harnessing the power of exosomes for non-coding RNA deliveryR35CA209904 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SOOD, ANIL K · 2017 to 2023
$5.0M
Targeted therapeutics for ovarian cancer and its microenvironment - treatment and theoretical modelingU01CA213759 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LOPEZ-BERESTEIN, GABRIEL · 2017 to 2021
$2.5M
Single Cell Spatial Analysis in TissueR50CA243707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BURKS, JARED KYLE · 2020 to 2024
$1.3M
NCI NIH HHS P30 CA016672NCI NIH HHS R35 CA209904NCI NIH HHS R50 CA243707NCI NIH HHS U01 CA213759
6 · The paper itself

Abstract

Despite having similar histologic features, patients with high-grade serous ovarian carcinoma (HGSC) often experience highly variable outcomes. The underlying determinants for long-term survival (LTS, ≥10 years) versus short-term survival (STS, <3 years) are largely unknown. The present study sought to identify molecular predictors of LTS for women with HGSC. A cohort of 24 frozen HGSC samples was collected (12 LTS and 12 STS) and analyzed at DNA, RNA, and protein levels. OVCAR5 and OVCAR8 cell lines were used for in vitro validation studies. For in vivo studies, we injected OVCAR8 cells into the peritoneal cavity of female athymic nude mice. From RNAseq analysis, 11 genes were found to be differentially expressed between the STS and LTS groups (fold change > 2; false discovery rate < 0.01). In the subsequent validation cohort, transmembrane protein 62 (TMEM62) was found to be related to LTS. CIBERSORT analysis showed that T cells (follicular helper) were found at higher levels in tumors from LTS than STS groups. In vitro data using OVCAR5 and OVCAR8 cells showed decreased proliferation with TMEM62 overexpression and positive correlation with a longevity-regulating pathway (KEGG HSA04213) at the RNA level. In vivo analysis using the OVCAR8-TMEM62-TetON model showed decreased tumor burden in mice with high- vs. low-expressing TMEM62 tumors. Our results demonstrate that restoring TMEM62 may be a novel approach for treatment of HGSC. These findings may have implications for biomarker and intervention strategies to help improve patient outcomes

Indexed as

HGSClong-term survivalovarian cancershort-term survivalTMEM62

Identifiers

PMID36077735
PMCPMC9454595
OpenAlexW4293776499

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.