Evidence map›Paper›PMID 32218227›Full record

ReviewSensors (Basel, Switzerland)2020

Label-Free Bioelectrochemical Methods for Evaluation of Anticancer Drug Effects at a Molecular Level.

Francesco Tadini-Buoninsegni, Ilaria Palchetti

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 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
1.2field-weighted citation impact, top 23% 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, 20 citations in OpenAlex.

  1. The SURFEBiophysical reviews · 2025
    Review
  2. Article
  3. Stimulation of CaChemMedChem · 2021
    Article
  4. Review
  5. Review
  6. 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

2 authors at 1 institution in 1 country.

Francesco Tadini-BuoninsegniDepartment of Chemistry "Ugo Schiff", University of Florence, 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-5594-2554
Ilaria PalchettiDepartment of Chemistry "Ugo Schiff", University of Florence, 50019 Sesto Fiorentino, Italy.ORCID 0000-0001-9366-0574
University of Florence · IT

Funding

Fondazione CR Firenze ID 2018.0944 and ID 2018.0886
6 · The paper itself

Abstract

Cancer is a multifactorial family of diseases that is still a leading cause of death worldwide. More than 100 different types of cancer affecting over 60 human organs are known. Chemotherapy plays a central role for treating cancer. The development of new anticancer drugs or new uses for existing drugs is an exciting and increasing research area. This is particularly important since drug resistance and side effects can limit the efficacy of the chemotherapy. Thus, there is a need for multiplexed, cost-effective, rapid, and novel screening methods that can help to elucidate the mechanism of the action of anticancer drugs and the identification of novel drug candidates. This review focuses on different label-free bioelectrochemical approaches, in particular, impedance-based methods, the solid supported membranes technique, and the DNA-based electrochemical sensor, that can be used to evaluate the effects of anticancer drugs on nucleic acids, membrane transporters, and living cells. Some relevant examples of anticancer drug interactions are presented which demonstrate the usefulness of such methods for the characterization of the mechanism of action of anticancer drugs that are targeted against various biomolecules.

Indexed as

Biosensing TechniquesDielectric SpectroscopyAntineoplastic AgentsDNADrug Resistance, NeoplasmDrug Screening Assays, AntitumorDrug TherapyHumansNeoplasmsAntineoplastic AgentsDNAanticancer drugsbioelectrochemistryDNA-based biosensordrug–cell interactionsdrug–DNA interactionsdrug–protein interactionsimpedance-based methodssolid supported membranes

Identifiers

PMID32218227
PMCPMC7181070
OpenAlexW3012970431

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.