Evidence map›Paper›PMID 32067813›Full record

ArticleGynecologic oncology2020

A 73-gene proliferative transcriptomic signature predicts uterine serous carcinoma patient survival and response to primary therapy.

Lynn K H Tran, Paul M H Tran, David P Mysona, Sharad B Purohit, Emily Myers, Won Sok Lee, Boying Dun, Duo Xu, Haitao Liu, Diane Hopkins and 8 more

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 37% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. 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

18 authors at 2 institutions in 2 countries.

Lynn K H TranCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Paul M H TranCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
David P MysonaCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Sharad B PurohitCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA; Department of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA; Department of Undergraduate Health Professionals, College of Allied Health Sciences, Augusta University, 1120 15(th) Street, Augusta, GA 30912, USA.
Emily MyersCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Won Sok LeeDepartment of Pathology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Boying DunCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA; Department of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Duo XuCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Haitao LiuCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Diane HopkinsCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
John NechtmanCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA.
Chris L ScelsiDepartment of Radiology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Pardeep K MittalDepartment of Radiology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Daniel KlevenDepartment of Pathology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
John J WallbillichCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA; Department of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Bunja RungruangDepartment of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Sharad GhamandeDepartment of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, 1120 15(th) Street, Augusta, GA 30912, USA; Department of Obstetrics and Gynecology, Medical College of Georgia, 1120 15(th) Street, Augusta, GA 30912, USA. Electronic address: jshe@augusta.edu.
Augusta University · USCenter for Genomic Science · IT

Funding

Georgia Regents University Women's Reproductive Health Research Career Development PlanK12HD085817 · NICHD · AUGUSTA UNIVERSITY · PI GHAMANDE, SHARAD A. · 2015 to 2019
$1.4M
Deep Learning Based Genetic Risk Prediction for Type 1 DiabetesF30DK121461 · NIDDK · AUGUSTA UNIVERSITY · PI TRAN, PAUL · 2019 to 2021
$123k
NICHD NIH HHS K12 HD085817NIDDK NIH HHS F30 DK121461
6 · The paper itself

Abstract

objectivesTo develop a transcriptomic signature capable of predicting overall survival (OS) for uterine serous carcinoma (USC).

methodsRNAseq data for 58 USC patients were obtained from TCGA. Expression of 73 candidate genes was measured for 67 Augusta University (AU) samples using NanoString technology.

resultsAnalysis of the TCGA RNAseq data identified 73 genes that individually predict prognosis for USC patients and an elastic net model with all 73 genes (USC73) distinguishes a good OS group with low USC73 score from a poor OS group with high USC73 score (5-year OS = 83.3% and 13.3% respectively, HR = 40.1; p = 3 × 10

conclusionsThe USC73 transcriptomic signature and stage independently predict OS of USC patients and the best prediction is achieved using USC73 and stage. USC73 may also serve as a therapeutic biomarker to guide patient care.

Indexed as

AgedAged, 80 and overCohort StudiesCystadenocarcinoma, SerousDisease ProgressionFemaleHumansMiddle AgedPrognosisReproducibility of ResultsRetrospective StudiesSequence Analysis, RNATissue Array AnalysisTranscriptomeTumor Cells, CulturedUterine NeoplasmsCell proliferationGene expressionPrognostic biomarkerSerousUterine

Identifiers

PMID32067813
PMCPMC12458787
OpenAlexW3006069812

What OpenQuestion holds

Textmetadata
LicenceTDM
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.