Evidence map›Paper›PMID 26751490›Full record

ReviewBiomolecules2016

Targeting Stromal-Cancer Cell Crosstalk Networks in Ovarian Cancer Treatment.

Tsz-Lun Yeung, Cecilia S Leung, Fuhai Li, Stephen S T Wong, Samuel C Mok

Abstract readReview
In one paragraph

Review in Biomolecules, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
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

38 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Saponins Extracted from Tea (Molecules (Basel, Switzerland) · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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.

Tsz-Lun YeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. TYeung@mdanderson.org.
Cecilia S LeungDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. slleung@mdanderson.org.
Fuhai LiDepartment of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medical College, Houston, TX 77030, USA. Fli@houstonmethodist.org.
Stephen S T WongDepartment of Systems Medicine and Bioengineering, Houston Methodist Research Institute, Weill Cornell Medical College, Houston, TX 77030, USA. STWong@houstonmethodist.org.
Samuel C MokDepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. scmok@mdanderson.org.

Funding

The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
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
NCI NIH HHS R01 CA133057NCI NIH HHS R01CA133057NCI NIH HHS R01 CA142832NCI NIH HHS R01CA142832NCI NIH HHS U01 CA188388NCI NIH HHS U01CA188388NCI NIH HHS U54 CA149196NCI NIH HHS U54CA149196
6 · The paper itself

Abstract

Ovarian cancer is a histologically, clinically, and molecularly diverse disease with a five-year survival rate of less than 30%. It has been estimated that approximately 21,980 new cases of epithelial ovarian cancer will be diagnosed and 14,270 deaths will occur in the United States in 2015, making it the most lethal gynecologic malignancy. Ovarian tumor tissue is composed of cancer cells and a collection of different stromal cells. There is increasing evidence that demonstrates that stromal involvement is important in ovarian cancer pathogenesis. Therefore, stroma-specific signaling pathways, stroma-derived factors, and genetic changes in the tumor stroma present unique opportunities for improving the diagnosis and treatment of ovarian cancer. Cancer-associated fibroblasts (CAFs) are one of the major components of the tumor stroma that have demonstrated supportive roles in tumor progression. In this review, we highlight various types of signaling crosstalk between ovarian cancer cells and stromal cells, particularly with CAFs. In addition to evaluating the importance of signaling crosstalk in ovarian cancer progression, we discuss approaches that can be used to target tumor-promoting signaling crosstalk and how these approaches can be translated into potential ovarian cancer treatment.

Indexed as

Clinical Trials as TopicDisease ProgressionFemaleHumansNeoplastic Stem CellsOvarian NeoplasmsParacrine CommunicationSignal TransductionStromal CellsTumor Microenvironmentcancer-associated fibroblastsovarian cancerstromal-tumor crosstalktumor microenvironment

Identifiers

PMID26751490
PMCPMC4808797

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.