Evidence map›Paper›PMID 27335730›Full record

ArticleBeilstein journal of nanotechnology2016

Early breast cancer screening using iron/iron oxide-based nanoplatforms with sub-femtomolar limits of detection.

Dinusha N Udukala, Hongwang Wang, Sebastian O Wendel, Aruni P Malalasekera, Thilani N Samarakoon, Asanka S Yapa, Gayani Abayaweera, Matthew T Basel, Pamela Maynez, Raquel Ortega and 12 more

Open access · diamondAbstract read
In one paragraph

Article in Beilstein journal of nanotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Proteolytic Landscape of Ovarian Cancer: Applications in Nanomedicine.International journal of molecular sciences · 2022
    Review
  6. Optical biosensing of markers of mucosal inflammation.Nanomedicine : nanotechnology, biology, and medicine · 2022
    Article
  7. Early Detection of Pancreatic Cancers Using Liquid Biopsies and Hierarchical Decision Structure.IEEE journal of translational engineering in health and medicine · 2022
    Article
  8. Article
  9. Article
  10. 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

22 authors at 3 institutions in 2 countries.

Dinusha N Udukala *Kansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Hongwang Wang *Kansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Sebastian O Wendel *Kansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Aruni P Malalasekera *Kansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Thilani N SamarakoonKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Asanka S YapaKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Gayani AbayaweeraKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Matthew T BaselKansas State University, Department of Anatomy & Physiology, 228 Coles Hall, Manhattan, KS, USA.
Pamela MaynezKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Raquel OrtegaKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Yubisela ToledoKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Leonie BossmannKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Colette RobinsonKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Katharine E JanikKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Olga B KoperKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Ping LiKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Massoud MotamediThe University of Texas Medical Branch, 301 University Boulevard, Galveston, TX, USA.
Daniel A HigginsKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Gary GadburyKansas State University, Department of Statistics, 101 Dickens Hall, Manhattan, KS, USA.
Gaohong ZhuThe First Affiliated Hospital of Kunming Medical University, Department of Nuclear Medicine, 295 Xichang Road, Kunming, Yunnan, PR China.
Deryl L TroyerKansas State University, Department of Anatomy & Physiology, 228 Coles Hall, Manhattan, KS, USA.
Stefan H BossmannKansas State University, Department of Chemistry, 213 CBC Building, Manhattan, KS, USA.
Kansas State University · USFirst Affiliated Hospital of Kunming Medical University · CNThe University of Texas Medical Branch at Galveston · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteases, including matrix metalloproteinases (MMPs), tissue serine proteases, and cathepsins (CTS) exhibit numerous functions in tumor biology. Solid tumors are characterized by changes in protease expression levels by tumor and surrounding tissue. Therefore, monitoring protease levels in tissue samples and liquid biopsies is a vital strategy for early cancer detection. Water-dispersable Fe/Fe3O4-core/shell based nanoplatforms for protease detection are capable of detecting protease activity down to sub-femtomolar limits of detection. They feature one dye (tetrakis(carboxyphenyl)porphyrin (TCPP)) that is tethered to the central nanoparticle by means of a protease-cleavable consensus sequence and a second dye (Cy 5.5) that is directly linked. Based on the protease activities of urokinase plasminogen activator (uPA), MMPs 1, 2, 3, 7, 9, and 13, as well as CTS B and L, human breast cancer can be detected at stage I by means of a simple serum test. By monitoring CTS B and L stage 0 detection may be achieved. This initial study, comprised of 46 breast cancer patients and 20 apparently healthy human subjects, demonstrates the feasibility of protease-activity-based liquid biopsies for early cancer diagnosis.

Indexed as

biophotonicsbreast canceriron/iron oxide nanoparticleliquid biopsynanodiagnostics detectionnanomedicinesub-femtomolar limit of detection

Identifiers

PMID27335730
PMCPMC4901534
OpenAlexW2300397932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.