Evidence map›Paper›PMID 35328638›Full record

ArticleInternational journal of molecular sciences2022

INSIDIA 2.0 High-Throughput Analysis of 3D Cancer Models: Multiparametric Quantification of Graphene Quantum Dots Photothermal Therapy for Glioblastoma and Pancreatic Cancer.

Giordano Perini, Enrico Rosa, Ginevra Friggeri, Lorena Di Pietro, Marta Barba, Ornella Parolini, Gabriele Ciasca, Chiara Moriconi, Massimiliano Papi, Marco De Spirito and 1 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Nano-Based Technology in Glioblastoma.Molecules (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Cancer Cell Models for the Development of Anti-Cancer Drugs.International journal of molecular sciences · 2022
    Article
  15. 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

11 authors at 2 institutions in 2 countries.

Giordano PeriniDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.ORCID 0000-0001-9452-8479
Enrico RosaDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.
Ginevra FriggeriDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.
Lorena Di PietroFondazione Policlinico Universitario A. Gemelli IRCSS, 00168 Rome, Italy.ORCID 0000-0001-5723-2169
Marta BarbaFondazione Policlinico Universitario A. Gemelli IRCSS, 00168 Rome, Italy.ORCID 0000-0001-6084-7666
Ornella ParoliniFondazione Policlinico Universitario A. Gemelli IRCSS, 00168 Rome, Italy.ORCID 0000-0002-5211-6430
Gabriele CiascaDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.
Chiara MoriconiTheolytics, The Sherard Building, Edmund Halley Road, Oxford Science Park, Oxford OX4 4DQ, UK.
Massimiliano PapiDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.ORCID 0000-0002-0029-1309
Marco De SpiritoDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.ORCID 0000-0003-4260-5107
Valentina PalmieriDipartimento di Neuroscienze, Università Cattolica del Sacro Cuore, Largo Francesco Vito 1, 00168 Rome, Italy.ORCID 0000-0002-6358-9647
Università Cattolica del Sacro Cuore · ITTheolytics (United Kingdom) · GB

Funding

Italian Association for Cancer Research 26918-2021Italian Association for Cancer Research IG 2019 ID 23124Ministry of Education, Universities and Research PRIN PELM 2017 7PSCKT
6 · The paper itself

Abstract

Cancer spheroids are in vitro 3D models that became crucial in nanomaterials science thanks to the possibility of performing high throughput screening of nanoparticles and combined nanoparticle-drug therapies on in vitro models. However, most of the current spheroid analysis methods involve manual steps. This is a time-consuming process and is extremely liable to the variability of individual operators. For this reason, rapid, user-friendly, ready-to-use, high-throughput image analysis software is necessary. In this work, we report the INSIDIA 2.0 macro, which offers researchers high-throughput and high content quantitative analysis of in vitro 3D cancer cell spheroids and allows advanced parametrization of the expanding and invading cancer cellular mass. INSIDIA has been implemented to provide in-depth morphologic analysis and has been used for the analysis of the effect of graphene quantum dots photothermal therapy on glioblastoma (U87) and pancreatic cancer (PANC-1) spheroids. Thanks to INSIDIA 2.0 analysis, two types of effects have been observed: In U87 spheroids, death is accompanied by a decrease in area of the entire spheroid, with a decrease in entropy due to the generation of a high uniform density spheroid core. On the other hand, PANC-1 spheroids' death caused by nanoparticle photothermal disruption is accompanied with an overall increase in area and entropy due to the progressive loss of integrity and increase in variability of spheroid texture. We have summarized these effects in a quantitative parameter of spheroid disruption demonstrating that INSIDIA 2.0 multiparametric analysis can be used to quantify cell death in a non-invasive, fast, and high-throughput fashion.

Indexed as

GlioblastomaGraphitePancreatic NeoplasmsQuantum DotsCell Line, TumorHumansPhotothermal TherapySpheroids, CellularGraphitecancer spheroidsgrapheneimage analysisphotothermal therapyquantum dots

Identifiers

PMID35328638
PMCPMC8948775
OpenAlexW4221115057

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.