Evidence map›Paper›PMID 38115544›Full record

ReviewMolecular oncology2024

Glucose metabolism in B cell malignancies: a focus on glycolysis branching pathways.

Helga Simon-Molas, Rosita Del Prete, Anna Kabanova

Open access · goldAbstract readReview
In one paragraph

Review in Molecular oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 5 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

3 authors at 2 institutions in 2 countries.

Helga Simon-MolasDepartments of Experimental Immunology and Hematology, Amsterdam UMC location University of Amsterdam, The Netherlands.
Rosita Del PreteFondazione Toscana Life Sciences Foundation, Siena, Italy.
Anna KabanovaFondazione Toscana Life Sciences Foundation, Siena, Italy.ORCID 0000-0002-2077-472X
Toscana Life Sciences · ITDutch Cancer Society · NL

Funding

Associazione Italiana per la Ricerca sul Cancro 21495Cancer Center Amsterdam 2022H2020 European Research Council 864815Italian Foundation on Cancer Research 26636-2021Ministero dell'Istruzione, dell'Università e della Ricerca CUP B63D22000680006
6 · The paper itself

Abstract

Glucose catabolism, one of the essential pathways sustaining cellular bioenergetics, has been widely studied in the context of tumors. Nevertheless, the function of various branches of glucose metabolism that stem from 'classical' glycolysis have only been partially explored. This review focuses on discussing general mechanisms and pathological implications of glycolysis and its branching pathways in the biology of B cell malignancies. We summarize here what is known regarding pentose phosphate, hexosamine, serine biosynthesis, and glycogen synthesis pathways in this group of tumors. Despite most findings have been based on malignant B cells themselves, we also discuss the role of glucose metabolism in the tumor microenvironment, with a focus on T cells. Understanding the contribution of glycolysis branching pathways and how they are hijacked in B cell malignancies will help to dissect the role they have in sustaining the dissemination and proliferation of tumor B cells and regulating immune responses within these tumors. Ultimately, this should lead to deciphering associated vulnerabilities and improve current therapeutic schedules.

Indexed as

GlucoseGlycolysisAnimalsB-LymphocytesHumansLymphoma, B-CellPentose Phosphate PathwayTumor MicroenvironmentGlucoseB cellsglucose metabolismT cellstumor microenvironment

Identifiers

PMID38115544
PMCPMC11223612
OpenAlexW4390011822

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.