Evidence map›Paper›PMID 33489914›Full record

ReviewFrontiers in oncology2020

Toward Therapeutic Targeting of Bone Marrow Leukemic Niche Protective Signals in B-Cell Acute Lymphoblastic Leukemia.

Marjorie C Delahaye, Kaoutar-Insaf Salem, Jeoffrey Pelletier, Michel Aurrand-Lions, Stéphane J C Mancini

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.3field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 27 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

5 authors at 3 institutions in 1 country.

Marjorie C DelahayeAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Kaoutar-Insaf SalemAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Jeoffrey PelletierAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Michel Aurrand-LionsAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Stéphane J C ManciniAix Marseille University, CNRS, INSERM, Institut Paoli-Calmettes, CRCM, Marseille, France.
Inserm · FRInstitut Paoli-Calmettes · FRCentre de Recherche en Cancérologie de Marseille · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

B-cell acute lymphoblastic leukemia (B-ALL) represents the malignant counterpart of bone marrow (BM) differentiating B cells and occurs most frequently in children. While new combinations of chemotherapeutic agents have dramatically improved the prognosis for young patients, disease outcome remains poor after relapse or in adult patients. This is likely due to heterogeneity of B-ALL response to treatment which relies not only on intrinsic properties of leukemic cells, but also on extrinsic protective cues transmitted by the tumor cell microenvironment. Alternatively, leukemic cells have the capacity to shape their microenvironment towards their needs. Most knowledge on the role of protective niches has emerged from the identification of mesenchymal and endothelial cells controlling hematopoietic stem cell self-renewal or B cell differentiation. In this review, we discuss the current knowledge about B-ALL protective niches and the development of therapies targeting the crosstalk between leukemic cells and their microenvironment.

Indexed as

B-cell acute lymphoblastic leukemiaB cell developmentbone marrowleukemic nichestargeted treatments

Identifiers

PMID33489914
PMCPMC7820772
OpenAlexW3119372842

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.