Evidence map›Paper›PMID 35406690›Full record

ArticleCells2022

Single-Cell Molecular Characterization to Partition the Human Glioblastoma Tumor Microenvironment Genetic Background.

Francesca Lessi, Sara Franceschi, Mariangela Morelli, Michele Menicagli, Francesco Pasqualetti, Orazio Santonocito, Carlo Gambacciani, Francesco Pieri, Filippo Aquila, Paolo Aretini and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

11 authors at 3 institutions in 2 countries.

Francesca LessiSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.ORCID 0000-0002-3346-4296
Sara FranceschiSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.ORCID 0000-0002-4246-4407
Mariangela MorelliSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.
Michele MenicagliSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.
Francesco PasqualettiDepartment of Radiation Oncology, Azienda Ospedaliera Universitaria Pisana, University of Pisa, 56126 Pisa, Italy.
Orazio SantonocitoDivision of Neurosurgery, Spedali Riuniti di Livorno-USL Toscana Nord-Ovest, 57124 Livorno, Italy.
Carlo GambaccianiDivision of Neurosurgery, Spedali Riuniti di Livorno-USL Toscana Nord-Ovest, 57124 Livorno, Italy.ORCID 0000-0001-9271-6070
Francesco PieriDivision of Neurosurgery, Spedali Riuniti di Livorno-USL Toscana Nord-Ovest, 57124 Livorno, Italy.
Filippo AquilaDivision of Neurosurgery, Spedali Riuniti di Livorno-USL Toscana Nord-Ovest, 57124 Livorno, Italy.
Paolo AretiniSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.ORCID 0000-0003-1075-4319
Chiara Maria MazzantiSection of Genomics and Transcriptomics, Fondazione Pisana per la Scienza, San Giuliano Terme, 56017 Pisa, Italy.
Fondazione Pisa · ITOspedale di Livorno · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlioblastoma (GB) is a devastating primary brain malignancy. The recurrence of GB is inevitable despite the standard treatment of surgery, chemotherapy, and radiation, and the median survival is limited to around 15 months. The barriers to treatment include the complex interactions among the different cellular components inhabiting the tumor microenvironment. The complex heterogeneous nature of GB cells is helped by the local inflammatory tumor microenvironment, which mostly induces tumor aggressiveness and drug resistance.

methodsBy using fluorescent multiple labeling and a DEPArray cell separator, we recovered several single cells or groups of single cells from populations of different origins from IDH-WT GB samples. From each GB sample, we collected astrocytes-like (GFAP+), microglia-like (IBA1+), stem-like cells (CD133+), and endothelial-like cells (CD105+) and performed Copy Number Aberration (CNA) analysis with a low sequencing depth. The same tumors were subjected to a bulk CNA analysis.

resultsThe tumor partition in its single components allowed single-cell molecular subtyping which revealed new aspects of the GB altered genetic background.

conclusionsNowadays, single-cell approaches are leading to a new understanding of GB physiology and disease. Moreover, single-cell CNAs resource will permit new insights into genome heterogeneity, mutational processes, and clonal evolution in malignant tissues.

Indexed as

Brain NeoplasmsGlioblastomaGenetic BackgroundHumansMicrogliaTumor Microenvironmentcopy number aberrationsDEPArrayglioblastomasingle-celltumor microenvironment

Identifiers

PMID35406690
PMCPMC8998055
OpenAlexW4220692510

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.