Evidence map›Paper›PMID 27084578›Full record

ReviewJournal of cell science2016

Signatures of breast cancer metastasis at a glance.

George S Karagiannis, Sumanta Goswami, Joan G Jones, Maja H Oktay, John S Condeelis

Abstract readReview
In one paragraph

Review in Journal of cell science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Organ-Specificity of Breast Cancer Metastasis.International journal of molecular sciences · 2023
    Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. 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

5 authors.

George S KaragiannisDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Sumanta GoswamiDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Joan G JonesDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA Department of Pathology, Albert Einstein College of Medicine, Bronx, NY 10461, USA Integrated Imaging Program, Albert Einstein College of Medicine, Bronx, NY 10461, USA Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
Maja H OktayDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA Department of Pathology, Albert Einstein College of Medicine, Bronx, NY 10461, USA Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA.
John S CondeelisDepartment of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY 10461, USA Integrated Imaging Program, Albert Einstein College of Medicine, Bronx, NY 10461, USA Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA john.condeelis@einstein.yu.edu.

Funding

Tumor Progression and MetastasisP01CA100324 · NCI · YESHIVA UNIVERSITY · PI CONDEELIS, JOHN S · 2003 to 2018
$30.0M
Tumor microenvironments determing migration, dissemination and dormancyU54CA163131 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI AGUIRRE-GHISO, JULIO A., CASTRACANE, JAMES · 2011 to 2015
$3.9M
In Vivo Multiphoton Based Imaging of Complex Cancer Cell BehaviorR01CA164468 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERKHUSHA, VLADISLAV · 2011 to 2015
$3.8M
Novel approach to study intravasation in primary human breast cancer cells(PQ24)R01CA170507 · NCI · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI CONDEELIS, JOHN S, GOSWAMI, SUMANTA · 2012 to 2015
$1.4M
NCI NIH HHS P01 CA100324NCI NIH HHS R01 CA164468NCI NIH HHS R01 CA170507NCI NIH HHS U54 CA163131
6 · The paper itself

Abstract

Gene expression profiling has yielded expression signatures from which prognostic tests can be derived to facilitate clinical decision making in breast cancer patients. Some of these signatures are based on profiling of whole tumor tissue (tissue signatures), which includes all tumor and stromal cells. Prognostic markers have also been derived from the profiling of metastasizing tumor cells, including circulating tumor cells (CTCs) and migratory-disseminating tumor cells within the primary tumor. The metastasis signatures based on CTCs and migratory-disseminating tumor cells have greater potential for unraveling cell biology insights and mechanistic underpinnings of tumor cell dissemination and metastasis. Of clinical interest is the promise that stratification of patients into high or low metastatic risk, as well as assessing the need for cytotoxic therapy, might be improved if prognostics derived from these two types of signatures are used in a combined way. The aim of this Cell Science at a Glance article and accompanying poster is to navigate through both types of signatures and their derived prognostics, as well as to highlight biological insights and clinical applications that could be derived from them, especially when they are used in combination.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplastic Cells, CirculatingCell MovementFemaleHumansPrognosisRisk FactorsBiomarkers, TumorChemotaxisCirculating tumor cellCTCHISHuman invasion signatureIntravasationInvadopodiaMenaTMEMTumor microenvironment of metastasis

Identifiers

PMID27084578
PMCPMC4893654

What OpenQuestion holds

Textmetadata
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.