Evidence map›Paper›PMID 34376194›Full record

ArticleCancer cell international2021

Ultrastructural analysis of breast cancer patient-derived organoids.

Lorena Signati, Raffaele Allevi, Francesca Piccotti, Sara Albasini, Laura Villani, Marta Sevieri, Arianna Bonizzi, Fabio Corsi, Serena Mazzucchelli

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.3field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  12. Exploration of targeted anti-tumor therapy · 2022
    Review
  13. Frontiers in oncology · 2022
    Review
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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

9 authors at 2 institutions in 1 country.

Lorena Signati *Dipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy.
Raffaele Allevi *Dipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy.
Francesca PiccottiIstituti Clinici Scientifici Maugeri IRCCS, 27100, Pavia, Italy.
Sara AlbasiniIstituti Clinici Scientifici Maugeri IRCCS, 27100, Pavia, Italy.
Laura VillaniIstituti Clinici Scientifici Maugeri IRCCS, 27100, Pavia, Italy.
Marta SevieriDipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy.
Arianna BonizziDipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy.
Fabio CorsiDipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy. fabio.corsi@unimi.it.
Serena MazzucchelliDipartimento di Scienze Biomediche e cliniche "L. Sacco", Università di Milano, 20157, Milan, Italy. serena.mazzucchelli@unimi.it.ORCID http://orcid.org/0000-0001-6904-8895
University of Milan · ITIstituti Clinici Scientifici Maugeri · IT

Funding

Ministero dell'Istruzione, dell'Università e della Ricerca 2017E3A2NR (Prin 2017)
6 · The paper itself

Abstract

backgroundBreast cancer Patient Derived Organoids (PDO) have been demonstrated to be a reliable model to study cancer that promised to replace and reduce the use of animals in pre-clinical research. They displayed concordance with the tissue of origin, resuming its heterogenicity and representing a good platform to develop approaches of personalized medicines. Although obtain PDOs from mammary tumour, was a very challenging process, several ongoing studies evaluated them as a platform to study efficacy, sensitivity and specificity of new drugs and exploited them in personalized medicine. Despite tissue organization represented a crucial point to evaluate in a 3-dimensional model, since it could influence drug penetration, morphology of breast cancer PDOs has not been analysed yet. Here, we proposed a complete ultrastructural analysis of breast PDOs obtained from tumour and healthy tissues to evaluate how typical structures observed in mammary gland were resumed in this model.

methods81 samples of mammary tissue (healthy or tumour) resulting from surgical resections have been processed to obtain PDO. The resulting PDOs embedded in matrigel drop have been processed for transmission electron microscopy and analysed. A comparison between ones from healthy and ones from cancerous tissue has been performed and PDOs derived from tumour tissue have been stratified according to their histological and molecular subtype.

resultThe morphological analysis performed on 81 PDO revealed an organized structure rich in Golgi, secretion granules and mitochondria, which was typical of cells with a strong secretory activity and active metabolism. The presence of desmosomes, inter and intracellular lumens and of microvilli and interdigitations signified a precise tissue-organization. Each PDO has been classified based on whether or not it possessed (i) peripheral ridges in mitochondria, (ii) intracellular lumens, (iii) intercellular lumens, (iv) micro-vesicles, (v) open desmosomes, (vi) cell debris, (vii) polylobed nuclei, (viii) lysosomes and (ix) secretion granules, in order to identify features coupled with the cancerous state or with a specific histological or molecular subtype.

conclusionHere we have demonstrated the suitability of breast cancer PDO as 3-dimensional model of mammary tissue. Besides, some structural features characterizing cancerous PDO have been observed, identifying the presence of distinctive traits.

Indexed as

Breast cancerPatient-derived organoidsTransmission electron microscopy

Identifiers

PMID34376194
PMCPMC8353820
OpenAlexW3191779473

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.