Evidence map›Paper›PMID 36661499›Full record

ArticleCurrent issues in molecular biology2022

Flow Cytometry Detection of Anthracycline-Treated Breast Cancer Cells: An Optimized Protocol.

Giulia Catitti, Simone De Fabritiis, Davide Brocco, Pasquale Simeone, Domenico De Bellis, Simone Vespa, Serena Veschi, Laura De Lellis, Nicola Tinari, Fabio Verginelli and 4 more

Open access · goldAbstract read
In one paragraph

Article in Current issues in molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

14 authors at 2 institutions in 2 countries.

Giulia CatittiDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.
Simone De FabritiisDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-6404-6962
Davide BroccoDepartment of Pharmacy, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-8634-7184
Pasquale SimeoneDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-4430-480X
Domenico De BellisDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-0953-1989
Simone VespaDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-6146-9302
Serena VeschiDepartment of Pharmacy, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-0450-9210
Laura De LellisDepartment of Pharmacy, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-6460-2508
Nicola TinariDepartment of Medical, Oral & Biotechnological Sciences, University "G. d'Annunzio" Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0001-8449-5407
Fabio VerginelliCenter for Advanced Studies and Technology (CAST), University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0002-8636-2517
Marco MarchisioDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-3058-3422
Alessandro CamaDepartment of Pharmacy, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-3647-1368
Antonia PatrunoDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-4222-8583
Paola LanutiDepartment of Medicine and Aging Sciences, University "G. d'Annunzio" of Chieti-Pescara, 66100 Chieti, Italy.ORCID 0000-0003-4197-9780
University of Chieti-Pescara · ITKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of anthracycline derivatives was approved for the treatment of a broad spectrum of human tumors (i.e., breast cancer). The need to test these drugs on cancer models has pushed the basic research to apply many types of in vitro assays, and, among them, the study of anthracycline-induced apoptosis was mainly based on the application of flow cytometry protocols. However, the chemical structure of anthracycline derivatives gives them a strong autofluorescence effect that must be considered when flow cytometry is used. Unfortunately, the guidelines on the analysis of anthracycline effects through flow cytometry are lacking. Therefore, in this study, we optimized the flow cytometry detection of doxorubicin and epirubicin-treated breast cancer cells. Their autofluorescence was assessed both by using conventional and imaging flow cytometry; we found that all the channels excited by the 488 nm laser were affected. Anthracycline-induced apoptosis was then measured via flow cytometry using the optimized setting. Consequently, we established a set of recommendations that enable the development of optimized flow cytometry settings when the in vitro assays of anthracycline effects are analyzed, with the final aim to reveal a new perspective on the use of those in vitro tests for the further implementation of precision medicine strategies in cancer.

Indexed as

anthracycline autofluorescenceapoptosisbreast cancer cellspolychromatic flow cytometry

Identifiers

PMID36661499
PMCPMC9857732
OpenAlexW4312224851

What OpenQuestion holds

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LicenceCC BY
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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.