Evidence map›Paper›PMID 26093786›Full record

ArticleComputers in biology and medicine2015

A computational study of circulating large tumor cells traversing microvessels.

Nikola Kojić, Miljan Milošević, Dejan Petrović, Velibor Isailović, A Fatih Sarioglu, Daniel A Haber, Miloš Kojić, Mehmet Toner

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 30 citations in OpenAlex.

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  13. Phenotype of circulating tumor cell: face-off between epithelial and mesenchymal masks.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    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

8 authors at 3 institutions in 2 countries.

Nikola KojićDepartment of Surgery and Center for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, and Shriners Hospitals for Children, Boston, MA, USA. Electronic address: kojic@mit.edu.
Miljan MiloševićBelgrade Metropolitan University, Bioengineering Research and Development Center BioIRC Kragujevac, Serbia.
Dejan PetrovićBelgrade Metropolitan University, Bioengineering Research and Development Center BioIRC Kragujevac, Serbia.
Velibor IsailovićBelgrade Metropolitan University, Bioengineering Research and Development Center BioIRC Kragujevac, Serbia.
A Fatih SariogluDepartment of Surgery and Center for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, and Shriners Hospitals for Children, Boston, MA, USA.
Daniel A HaberMassachusetts General Hospital Cancer Center, Harvard Medical School, Boston, MA USA.
Miloš KojićBelgrade Metropolitan University, Bioengineering Research and Development Center BioIRC Kragujevac, Serbia; Department of Nanomedicine, Houston Methodist Research Institute, Houston, TX, USA.
Mehmet TonerDepartment of Surgery and Center for Engineering in Medicine, Massachusetts General Hospital, Harvard Medical School, and Shriners Hospitals for Children, Boston, MA, USA.
Metropolitan University · RSShriners Hospitals for Children - Erie · USMassachusetts General Hospital · US

Funding

Point-of care Microfluidics for Early Detection of CancerU01EB012493 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI HABER, DANIEL A., TONER, MEHMET · 2010 to 2018
$19.6M
Bio-MicroElectroMechanical Systems Resource CenterP41EB002503 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI TONER, MEHMET · 2004 to 2018
$17.4M
NIBIB NIH HHS P41 EB002503NIBIB NIH HHS U01 EB012493
6 · The paper itself

Abstract

Circulating tumor cells (CTCs) are known to be a harbinger of cancer metastasis. The CTCs are known to circulate as individual cells or as a group of interconnected cells called CTC clusters. Since both single CTCs and CTC clusters have been detected in venous blood samples of cancer patients, they needed to traverse at least one capillary bed when crossing from arterial to venous circulation. The diameter of a typical capillary is about 7µm, whereas the size of an individual CTC or CTC clusters can be greater than 20µm and thus size exclusion is believed to be an important factor in the capillary arrest of CTCs - a key early event in metastasis. To examine the biophysical conditions needed for capillary arrest, we have developed a custom-built viscoelastic solid-fluid 3D computational model that enables us to calculate, under physiological conditions, the maximal CTC diameter that will pass through the capillary. We show that large CTCs and CTC clusters can successfully cross capillaries if their stiffness is relatively small. Specifically, under physiological conditions, a 13µm diameter CTC passes through a 7µm capillary only if its stiffness is less than 500Pa and conversely, for a stiffness of 10Pa the maximal passing diameter can be as high as 140µm, such as for a cluster of CTCs. By exploring the parameter space, a relationship between the capillary blood pressure gradient and the CTC mechanical properties (size and stiffness) was determined. The presented computational platform and the resulting pressure-size-stiffness relationship can be employed as a tool to help study the biomechanical conditions needed for capillary arrest of CTCs and CTC clusters, provide predictive capabilities in disease progression based on biophysical CTC parameters, and aid in the rational design of size-based CTC isolation technologies where CTCs can experience large deformations due to high pressure gradients.

Indexed as

Computer SimulationModels, CardiovascularCapillariesHumansNeoplasm MetastasisNeoplastic Cells, CirculatingCapillaryCirculating tumor cellComputational modelFinite elementMicrovessel

Identifiers

PMID26093786
PMCPMC4819961
OpenAlexW1496119521

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.