Evidence map›Paper›PMID 32175025›Full record

ReviewCellular and molecular bioengineering2020

Sticking to the Problem: Engineering Adhesion in Molecular Endoscopic Imaging.

Mahboubeh S Noori, Sarah J Bodle, Christian A Showalter, Evan S Streator, David S Drozek, Monica M Burdick, Douglas J Goetz

Abstract readReview
In one paragraph

Review in Cellular and molecular bioengineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Mahboubeh S NooriDepartment of Chemical and Biomolecular Engineering, Ohio University, Athens, OH 45701 USA.
Sarah J BodleDepartment of Chemical and Biomolecular Engineering, Ohio University, Athens, OH 45701 USA.
Christian A ShowalterDepartment of Biological Sciences, Ohio University, Athens, OH 45701 USA.
Evan S StreatorDepartment of Chemical and Biomolecular Engineering, Ohio University, Athens, OH 45701 USA.
David S DrozekDepartment of Specialty Medicine, Ohio University, Athens, OH 45701 USA.
Monica M BurdickDepartment of Chemical and Biomolecular Engineering, Ohio University, Athens, OH 45701 USA.
Douglas J GoetzDepartment of Chemical and Biomolecular Engineering, Ohio University, Athens, OH 45701 USA.ORCID 0000-0003-3666-5373

Funding

Dynamic Biochemical Tissue Analysis: A Novel In Situ AssayR15CA161830 · NCI · OHIO UNIVERSITY ATHENS · PI BURDICK, MONICA MAKI · 2011 to 2011
$443k
NCI NIH HHS R15 CA161830
6 · The paper itself

Abstract

Cancers of the digestive tract cause nearly one quarter of the cancer deaths worldwide, and nearly half of these are due to cancers of the esophagus and colon. Early detection of cancer significantly increases the rate of survival, and thus it is critical that cancer within these organs is detected early. In this regard, endoscopy is routinely used to screen for transforming/cancerous (i.e. dysplastic to fully cancerous) tissue. Numerous studies have revealed that the biochemistry of the luminal surface of such tissue within the colon and esophagus becomes altered throughout disease progression. Molecular endoscopic imaging (MEI), an emerging technology, seeks to exploit these changes for the early detection of cancer. The general approach for MEI is as follows: the luminal surface of an organ is exposed to molecular ligands, or particulate probes bearing a ligand, cognate to biochemistry unique to pre-cancerous/cancerous tissue. After a wash, the tissue is imaged to determine the presence of the probes. Detection of the probes post-washing suggests pathologic tissue. In the current review we provide a succinct, but extensive, review of ligands and target moieties that could be, or are currently being investigated, as possible cognate chemistries for MEI. This is followed by a review of the biophysics that determines, in large part, the success of a particular MEI design. The work draws an analogy between MEI and the well-advanced field of cell adhesion and provides a road map for engineering MEI to achieve assays that yield highly selective recognition of transforming/cancerous tissue

Indexed as

CancerCell adhesionColonDysplasiaEndoscopyEsophagusGastrointestinal

Identifiers

PMID32175025
PMCPMC7048886

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.