Evidence map›Paper›PMID 29915539›Full record

ArticleFrontiers in pharmacology2018

Mitochondrial Delivery of Phenol Substructure Triggers Mitochondrial Depolarization and Apoptosis of Cancer Cells.

Elena Gazzano, Loretta Lazzarato, Barbara Rolando, Joanna Kopecka, Stefano Guglielmo, Costanzo Costamagna, Konstantin Chegaev, Chiara Riganti

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  3. A Small-Molecule Drug for the Self-Checking of Mitophagy.Angewandte Chemie (International ed. in English) · 2025
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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 at 1 institution in 1 country.

Elena GazzanoDepartment of Oncology, University of Turin, Turin, Italy.
Loretta LazzaratoDepartment of Drug Science and Technology, University of Turin, Turin, Italy.
Barbara RolandoDepartment of Drug Science and Technology, University of Turin, Turin, Italy.
Joanna KopeckaDepartment of Oncology, University of Turin, Turin, Italy.
Stefano GuglielmoDepartment of Drug Science and Technology, University of Turin, Turin, Italy.
Costanzo CostamagnaDepartment of Oncology, University of Turin, Turin, Italy.
Konstantin ChegaevDepartment of Drug Science and Technology, University of Turin, Turin, Italy.
Chiara RigantiDepartment of Oncology, University of Turin, Turin, Italy.
University of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antitumor chemotherapy remains one of the most important challenge of the medicinal chemistry. Emerging research in chemotherapy is focused on exploiting the biochemical differences between cancer cell and normal cell metabolism in order to reduce the side effects and increase antitumor therapy efficacy. The higher mitochondrial transmembrane potential of cancer cells compared to not-transformed cells favors the intra-mitochondrial accumulation of cationic drugs in the former. This feature could be exploited to allow selective delivery of antineoplastic drugs to the cancer cells. In this work we designed and synthetized phenol derivatives joined to the triphenylphosphonium (TPP) cation, a well-known vector for mitochondrial targeting. Two designed phenol TPP-derivatives

Indexed as

cancer mitochondrial biogenesiscancer mitochondrial energy metabolismmitochondrial-dependent apoptosisphenolstriphenylphosphonium cation

Identifiers

PMID29915539
PMCPMC5994430
OpenAlexW2804383504

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.