Evidence map›Paper›PMID 35528034›Full record

ReviewBiophysical reviews2022

Unraveling Cancer Metastatic Cascade Using Microfluidics-based Technologies.

Maziar Hakim, Leyla Kermanshah, Hesam Abouali, Hanieh Mohammad Hashemi, Alireza Yari, Farhad Khorasheh, Iran Alemzadeh, Manouchehr Vossoughi

Abstract readReview
In one paragraph

Review in Biophysical reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

8 authors.

Maziar HakimDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Leyla KermanshahDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Hesam AboualiDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Hanieh Mohammad HashemiDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Alireza YariDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Farhad KhorashehDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Iran AlemzadehDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.
Manouchehr VossoughiDepartment of Chemical and Petroleum Engineering, Sharif University of Technology, Tehran, Iran.ORCID 0000-0002-1238-4887

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer has long been a leading cause of death. The primary tumor, however, is not the main cause of death in more than 90% of cases. It is the complex process of metastasis that makes cancer deadly. The invasion metastasis cascade is the multi-step biological process of cancer cell dissemination to distant organ sites and adaptation to the new microenvironment site. Unraveling the metastasis process can provide great insight into cancer death prevention or even treatment. Microfluidics is a promising platform, that provides a wide range of applications in metastasis-related investigations. Cell culture microfluidic technologies for in vitro modeling of cancer tissues with fluid flow and the presence of mechanical factors have led to the organ-on-a-chip platforms. Moreover, microfluidic systems have also been exploited for capturing and characterization of circulating tumor cells (CTCs) that provide crucial information on the metastatic behavior of a tumor. We present a comprehensive review of the recent developments in the application of microfluidics-based systems for analysis and understanding of the metastasis cascade from a wider perspective.

Indexed as

Circulating tumor cellsHomingMetastatic cascadeMicrofluidicsTumor microenvironment

Identifiers

PMID35528034
PMCPMC9043145

What Socratic 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 Socratic graph.