Evidence map›Paper›PMID 27067961›Full record

ReviewThrombosis research2016

Targeting clotting proteins in cancer therapy - progress and challenges.

Wolfram Ruf, Andrea S Rothmeier, Claudine Graf

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Thrombosis research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

3 authors at 3 institutions in 2 countries.

Wolfram RufCenter for Thrombosis and Hemostasis, University Medical Center, Mainz, Germany; Department of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA, USA. Electronic address: ruf@uni-mainz.de.
Andrea S RothmeierDepartment of Immunology and Microbial Science, The Scripps Research Institute, La Jolla, CA, USA.
Claudine GrafCenter for Thrombosis and Hemostasis, University Medical Center, Mainz, Germany; 3(rd) Medical Department, University Medical Center, Mainz, Germany.
Johannes Gutenberg University Mainz · DEScripps Research Institute · USUniversity Medical Center of the Johannes Gutenberg University Mainz · DE

Funding

THROMBUS FORMATION IN BABOONSP01HL031950 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI GRIFFIN, JOHN H · 1985 to 2015
$29.4M
SIGNALING OF TISSUE FACTOR IN CELL ADHESIONR01HL060742 · NHLBI · SCRIPPS RESEARCH INSTITUTE, THE · PI RUF, WOLFRAM · 1998 to 2017
$6.4M
NHLBI NIH HHS HL-31950NHLBI NIH HHS HL-60742NHLBI NIH HHS P01 HL031950NHLBI NIH HHS R01 HL060742
6 · The paper itself

Abstract

Cancer-associated thrombosis remains a significant complication in the clinical management of cancer and interactions of the hemostatic system with cancer biology continue to be elucidated. Here, we review recent progress in our understanding of tissue factor (TF) regulation and procoagulant activation, TF signaling in cancer and immune cells, and the expanding roles of the coagulation system in stem cell niches and the tumor microenvironment. The extravascular functions of coagulant and anti-coagulant pathways have significant implications not only for tumor progression, but also for the selection of appropriate target specific anticoagulants in the therapy of cancer patients.

Indexed as

AnimalsAnticoagulantsBlood CoagulationHumansMolecular Targeted TherapyNeoplasmsSignal TransductionThromboplastinThrombosisTumor MicroenvironmentAnticoagulantsThromboplastinCoagulationInflammationTissue factorTumor microenvironment

Identifiers

PMID27067961
PMCPMC5327857
OpenAlexW2325130278

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.