Evidence map›Paper›PMID 37610007›Full record

ReviewPlatelets2023

The prospects of microphysiological systems in modeling platelet pathophysiology in cancer.

Lopamudra D Ghosh, Abhishek Jain

Open access · goldAbstract readReview
In one paragraph

Review in Platelets, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Lopamudra D GhoshDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, USA.
Abhishek JainDepartment of Biomedical Engineering, College of Engineering, Texas A&M University, College Station, TX, USA.
Texas A&M University · US

Funding

Determinants of COVID19-induced venous thrombosis and targeted therapy assessed with bioengineered vein-chipR01HL157790 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CONNOR, JOHN H, COOKE, JOHN P · 2021 to 2024
$2.8M
NHLBI NIH HHS R01 HL157790
6 · The paper itself

Abstract

The contribution of platelets is well recognized in thrombosis and hemostasis. However, platelets also promote tumor progression and metastasis through their crosstalk with various cells of the tumor microenvironment (TME). For example, several cancer models continue to show that platelet functions are readily altered by cancer cells upon activation leading to the formation of platelet-tumor aggregates, triggering release of soluble factors from platelet granules and altering platelet turnover. Further, activated platelets protect tumor cells from shear forces in circulation and assault of cytotoxic natural killer (NK) cells. Platelet-secreted factors promote proliferation of malignant cells, metastasis, and chemoresistance. Much of our knowledge of platelet biology in cancer has been achieved with animal models, particularly murine. However, this preclinical understanding of the complex pathophysiology is yet to be fully realized and translated to clinical trials in terms of new approaches to treat cancer via controlling the platelet function. In this review, we summarize the current state of knowledge of platelet physiology obtained through existing

Indexed as

Microphysiological SystemsNeoplasmsAnimalsBiological TransportBlood PlateletsCross ReactionsMiceTumor MicroenvironmentCancerdrug discoverymicrophysiological systemsorgan-chipsplateletstumor microenvironment

Identifiers

PMID37610007
PMCPMC10578702
OpenAlexW4386085011

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.