Evidence map›Paper›PMID 24660130›Full record

ArticleCurrent pathobiology reports2014

Dynamic Interactions Between Cancer Stem Cells And Their Stromal Partners.

Tea Soon Park, Vera S Donnenberg, Albert D Donnenberg, Elias T Zambidis, Ludovic Zimmerlin

Abstract read
In one paragraph

Article in Current pathobiology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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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

5 authors.

Tea Soon ParkInstitute for Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America ; Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America.
Vera S DonnenbergUniversity of Pittsburgh School of Medicine, Department of Cardiothoracic Surgery, Pittsburgh, Pennsylvania, United States of America ; University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America ; McGowan Institute of Regenerative Medicine, Pittsburgh, Pennsylvania, United States of America.
Albert D DonnenbergUniversity of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania, United States of America ; McGowan Institute of Regenerative Medicine, Pittsburgh, Pennsylvania, United States of America ; University of Pittsburgh School of Medicine, Department of Medicine, Division of Hematology/Oncology, Pittsburgh, Pennsylvania, United States of America.
Elias T ZambidisInstitute for Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America ; Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America.
Ludovic ZimmerlinInstitute for Cell Engineering, School of Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America ; Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, Maryland, United States of America.

Funding

Basic and Translational Research of iPSC-Based hematologic and Vascular TherapiesU01HL099775 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D · 2009 to 2015
$8.4M
Basic and Translational Research iPSC-based hematologic and vascular therapiesU01HL100397 · NHLBI · STANFORD UNIVERSITY · PI COOKE, JOHN P · 2009 to 2015
$7.4M
Injectable Engineered Tissue for Cancer ReconstructionR01CA114246 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI RUBIN, J PETER · 2006 to 2019
$3.3M
Pluripotent Stem Cell Vascular Therapies for Ischemic RetinopathiesR01EY023962 · NEI · JOHNS HOPKINS UNIVERSITY · PI ZAMBIDIS, ELIAS T. · 2014 to 2018
$1.8M
Autologous Cellular Therapy for Ventricular DysfunctionR01HL085819 · NHLBI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KORMOS, ROBERT L · 2006 to 2007
$1.4M
Transcriptional and Epigenetic Regulation of HSC Generated from iPS and ESCR03HL096220 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D, ZAMBIDIS, ELIAS T. · 2009 to 2009
$41k
NCI NIH HHS R01 CA114246NEI NIH HHS R01 EY023962NHLBI NIH HHS N01 HB037165NHLBI NIH HHS R01 HL085819NHLBI NIH HHS R03 HL096220NHLBI NIH HHS U01 HL099775NHLBI NIH HHS U01 HL100397
6 · The paper itself

Abstract

The cancer stem cell (CSC) paradigm presumes the existence of self-renewing cancer cells capable of regenerating all tumor compartments and exhibiting stem cell-associated phenotypes. Recent interpretations of the CSC hypothesis envision stemness as a dynamic trait of tumor-initiating cells rather than a defined and unique cell type. Bidirectional crosstalk between the tumor microenvironment and the cancer bulk is well described in the literature and the tumor-associated stroma, vasculature and immune infiltrate have all been implicated as direct contributors to tumor development. These non-neoplastic cell types have also been shown to organize specific niches within the tumor bulk where they can control the intra-tumor CSC content and alter the fate of CSCs and tumor progenitors during tumorigenesis to acquire phenotypic features for invasion, metastasis and dormancy. Despite the complexity of the tumor-stroma interactome, novel therapeutic approaches envision combining tumor-ablative treatment with manipulation of the tumor microenvironment. We will review the currently available literature that provides clues about the complex cellular network that regulate the CSC phenotype and its niches during tumor progression.

Indexed as

Cancer stem cellsmesenchymal stem/stromal cellstumor-initiating cellstumor microenvironmenttumor progression

Identifiers

PMID24660130
PMCPMC3956651

What OpenQuestion holds

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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.