Evidence map›Paper›PMID 29860390›Full record

ArticleJournal of the National Cancer Institute2019

Systematic Identification of Druggable Epithelial-Stromal Crosstalk Signaling Networks in Ovarian Cancer.

Tsz-Lun Yeung, Jianting Sheng, Cecilia S Leung, Fuhai Li, Jaeyeon Kim, Samuel Y Ho, Martin M Matzuk, Karen H Lu, Stephen T C Wong, Samuel C Mok

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
2.5field-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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. The Impact of Stroma Admixture on Molecular Subtypes and Prognostic Gene Signatures in Serous Ovarian Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
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  19. Validation approaches for computational drug repurposing: a review.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 1 country.

Tsz-Lun YeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Jianting ShengDepartment of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Weill Cornell Medicine, Houston, TX.
Cecilia S LeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Fuhai LiDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH.
Jaeyeon KimDepartment of Biochemistry and Molecular Biology, Melvin and Bren Simon Cancer Center, Indiana University, Indianapolis, IN.
Samuel Y HoDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Martin M MatzukDepartment of Pathology and Immunology and Center for Drug Discovery, Baylor College of Medicine, Houston, TX.
Karen H LuDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
Stephen T C WongDepartment of Systems Medicine and Bioengineering, Houston Methodist Cancer Center, Weill Cornell Medicine, Houston, TX.
Samuel C MokDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX.
The University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USIndiana University Health · USMethodist Hospital · USThe Ohio State University · USWeill Cornell Medicine · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROADDUS, RUSSELL R · 2003 to 2020
$32.0M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
Genomic Stratification of Ovarian Cancer PatientsRC4CA156551 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL · 2010 to 2010
$3.7M
Modeling tumor-stroma crosstalk in lung cancer to identify targets for therapyU01CA188388 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI MITTAL, VIVEK, WONG, STEPHEN TC · 2015 to 2019
$2.5M
Novel Biomarkers in Ovarian CancerR01CA142832 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI BIRRER, MICHAEL · 2010 to 2014
$1.7M
Prognostic markers for ovarian cancerR01CA133057 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MOK, SAMUEL C · 2009 to 2013
$1.5M
Novel extra cellular RNA-based combinatorial RNA inhibition therapyUH2TR000943 · NCATS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., LOPEZ-BERESTEIN, GABRIEL · 2013 to 2014
$1.1M
NCATS NIH HHS UH2 TR000943NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA083639NCI NIH HHS P50 CA098258NCI NIH HHS R01 CA133057NCI NIH HHS R01 CA142832NCI NIH HHS RC4 CA156551NCI NIH HHS U01 CA188388NCI NIH HHS U54 CA149196NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

backgroundBulk tumor tissue samples are used for generating gene expression profiles in most research studies, making it difficult to decipher the stroma-cancer crosstalk networks. In the present study, we describe the use of microdissected transcriptome profiles for the identification of cancer-stroma crosstalk networks with prognostic value, which presents a unique opportunity for developing new treatment strategies for ovarian cancer.

methodsTranscriptome profiles from microdissected ovarian cancer-associated fibroblasts (CAFs) and ovarian cancer cells from patients with high-grade serous ovarian cancer (n = 70) were used as input data for the computational systems biology program CCCExplorer to uncover crosstalk networks between various cell types within the tumor microenvironment. The crosstalk analysis results were subsequently used for discovery of new indications for old drugs in ovarian cancer by computational ranking of candidate agents. Survival analysis was performed on ovarian tumor-bearing Dicer/Pten double-knockout mice treated with calcitriol, a US Food and Drug Administration-approved agent that suppresses the Smad signaling cascade, or vehicle control (9-11 mice per group). All statistical tests were two-sided.

resultsActivation of TGF-β-dependent and TGF-β-independent Smad signaling was identified in a particular subtype of CAFs and was associated with poor patient survival (patients with higher levels of Smad-regulated gene expression by CAFs: median overall survival = 15 months, 95% confidence interval [CI] = 12.7 to 17.3 months; vs patients with lower levels of Smad-regulated gene expression: median overall survival = 26 months, 95% CI = 15.9 to 36.1 months, P = .02). In addition, the activated Smad signaling identified in CAFs was found to be targeted by repositioning calcitriol. Calcitriol suppressed Smad signaling in CAFs, inhibited tumor progression in mice, and prolonged the median survival duration of ovarian cancer-bearing mice from 36 to 48 weeks (P = .04).

conclusionsOur findings suggest the feasibility of using novel multicellular systems biology modeling to identify and repurpose known drugs targeting cancer-stroma crosstalk networks, potentially leading to faster and more effective cures for cancers.

Indexed as

Antineoplastic AgentsBiomarkers, TumorCancer-Associated FibroblastsCell ProliferationCystadenocarcinoma, SerousFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansOvarian NeoplasmsPrognosisSignal TransductionSurvival RateTransforming Growth Factor betaTumor Cells, CulturedTumor MicroenvironmentAntineoplastic AgentsBiomarkers, TumorTransforming Growth Factor beta

Identifiers

PMID29860390
PMCPMC6410941
OpenAlexW2805040392

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.