Evidence map›Paper›PMID 33808748›Full record

ArticleCancers2021

Detection of Genomically Aberrant Cells within Circulating Tumor Microemboli (CTMs) Isolated from Early-Stage Breast Cancer Patients.

Marco Silvestri, Carolina Reduzzi, Giancarlo Feliciello, Marta Vismara, Thomas Schamberger, Cäcilia Köstler, Rosita Motta, Stefano Calza, Cristina Ferraris, Andrea Vingiani and 5 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
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

15 authors.

Marco SilvestriBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.ORCID 0000-0001-8283-9130
Carolina ReduzziBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.
Giancarlo FelicielloDivision Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Biopark 1|Am Biopark 9, 93053 Regensburg, Germany.ORCID 0000-0003-0514-0152
Marta VismaraBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.ORCID 0000-0001-9206-8456
Thomas SchambergerExperimental Medicine and Therapy Research, University Regensburg, Franz-Josef-Strauss Allee 11, 93040 Regensburg, Germany.
Cäcilia KöstlerDivision Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Biopark 1|Am Biopark 9, 93053 Regensburg, Germany.
Rosita MottaBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.
Stefano CalzaUnit of Biostatistics, Department of Molecular and Translational Medicine, University of Brescia, Viale Europa 11, 25125 Brescia, Italy.ORCID 0000-0003-4996-7995
Cristina FerrarisBreast Unit, Fondazione IRCCS Istituto Nazionale Dei Tumori di Milano, Via Venezian 1, 20133 Milano, Italy.
Andrea VingianiDepartment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian 1, 20133 Milan, Italy.
Giancarlo PruneriDepartment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giacomo Venezian 1, 20133 Milan, Italy.
Maria Grazia DaidoneBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.ORCID 0000-0002-4786-1321
Christoph A KleinDivision Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Biopark 1|Am Biopark 9, 93053 Regensburg, Germany.ORCID 0000-0001-7128-1725
Bernhard PolzerDivision Personalized Tumor Therapy, Fraunhofer-Institute for Toxicology and Experimental Medicine, Biopark 1|Am Biopark 9, 93053 Regensburg, Germany.
Vera CappellettiBiomarker Unit, Department of Applied Research and Technological Development, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Via Giovanni Antonio Amadeo 42, 20133 Milano, Italy.ORCID 0000-0002-9709-0676

Funding

Associazione Italiana per la Ricerca sul Cancro 16900Associazione Italiana per la Ricerca sul Cancro 21694Bayerisches Staatsministerium für Wirtschaft und Medien, Energie und Technologie AZ 20-3410.1-1-2Deutsche Krebshilfe 70112504Seventh Framework Programme 260791 Eurocam Platform
6 · The paper itself

Abstract

Circulating tumor microemboli (CTMs) are clusters of cancer cells detached from solid tumors, whose study can reveal mechanisms underlying metastatization. As they frequently comprise unknown fractions of leukocytes, the analysis of copy number alterations (CNAs) is challenging. To address this, we titrated known numbers of leukocytes into cancer cells (MDA-MB-453 and MDA-MB-36, displaying high and low DNA content, respectively) generating tumor fractions from 0-100%. After low-pass sequencing, ichorCNA was identified as the best algorithm to build a linear mixed regression model for tumor fraction (TF) prediction. We then isolated 53 CTMs from blood samples of six early-stage breast cancer patients and predicted the TF of all clusters. We found that all clusters harbor cancer cells between 8 and 48%. Furthermore, by comparing the identified CNAs of CTMs with their matched primary tumors, we noted that only 31-71% of aberrations were shared. Surprisingly, CTM-private alterations were abundant (30-63%), whereas primary tumor-private alterations were rare (4-12%). This either indicates that CTMs are disseminated from further progressed regions of the primary tumor or stem from cancer cells already colonizing distant sites. In both cases, CTM-private mutations may inform us about specific metastasis-associated functions of involved genes that should be explored in follow-up and mechanistic studies.

Indexed as

breast cancercirculating tumor microembolicopy number alterationlow-pass whole genome sequencingmetastatic disseminationtumor fraction

Identifiers

PMID33808748
PMCPMC8003526

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.