Evidence map›Paper›PMID 32483521›Full record

ArticleNanotheranostics2020

Supramolecular Polysaccharide Nanotheranostics that Inhibit Cancer Cells Growth and Monitor Targeted Therapy Response.

Nilesh Deshpande, Anujan Ramesh, Dipika Nandi, Anh Nguyen, Anthony Brouillard, Ashish Kulkarni

Open access · goldAbstract read
In one paragraph

Article in Nanotheranostics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. DNA Nanostructures and DNA-Functionalized Nanoparticles for Cancer Theranostics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Review
  6. 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

6 authors at 1 institution in 1 country.

Nilesh DeshpandeDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, USA.
Anujan RameshDepatment of Biomedical Engineering, University of Massachusetts, Amherst, MA, USA.
Dipika NandiDepartment of Veterinary and Animal Science, University of Massachusetts, Amherst, MA, USA.
Anh NguyenDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, USA.
Anthony BrouillardDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, USA.
Ashish KulkarniDepartment of Chemical Engineering, University of Massachusetts, Amherst, MA, USA.
University of Massachusetts Amherst · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted anticancer therapies directed against specific molecular drivers of tumors are emerging as effective treatment strategies, however, monitoring their response is still challenging. Current clinical imaging techniques that measure either morphological or metabolic changes in the tumor are not always indicative of clinical outcome due to delayed or variable responses. Here, dual-stage polysaccharide-based supramolecular nanotheranostics (SPN) were designed that enable co-delivery of kinase inhibitor and an activatable imaging probe.

Indexed as

Antineoplastic AgentsPolysaccharidesAnimalsCell Line, TumorChemistry, PharmaceuticalDrug Delivery SystemsDrug MonitoringMiceNanoparticlesNeoplasms, ExperimentalParticle SizeProtein Kinase InhibitorsSpheroids, CellularTheranostic NanomedicineTumor Cells, CulturedAntineoplastic AgentsPolysaccharidesProtein Kinase InhibitorsCancerKinase inhibitor DeliveryNanotheranosticsPolysaccharideSupramolecular Chemistry

Identifiers

PMID32483521
PMCPMC7256014
OpenAlexW3026171321

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.