Evidence map›Paper›PMID 35454765›Full record

ReviewCancers2022

Biological and Clinical Implications of Gene-Expression Profiling in Diffuse Large B-Cell Lymphoma: A Proposal for a Targeted BLYM-777 Consortium Panel as Part of a Multilayered Analytical Approach.

Fleur A de Groot, Ruben A L de Groen, Anke van den Berg, Patty M Jansen, King H Lam, Pim G N J Mutsaers, Carel J M van Noesel, Martine E D Chamuleau, Wendy B C Stevens, Jessica R Plaça and 8 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2022. 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
1.8field-weighted citation impact, top 15% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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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

18 authors at 8 institutions in 3 countries.

Fleur A de GrootDepartment of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0001-9940-2891
Ruben A L de GroenDepartment of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-2998-2066
Anke van den BergDepartment of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-8894-2638
Patty M JansenDepartment of Pathology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
King H LamDepartment of Pathology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.
Pim G N J MutsaersDepartment of Hematology, Erasmus Medical Center, 3015 GD Rotterdam, The Netherlands.ORCID 0000-0002-3924-8578
Carel J M van NoeselDepartment of Pathology, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands.
Martine E D ChamuleauCancer Center Amsterdam and LYMMCARE, Department of Hematology, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0002-0123-9182
Wendy B C StevensDepartment of Hematology, Radboud University Medical Center, 6525 GA Nijmegen, The Netherlands.
Jessica R PlaçaDepartment of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-4031-8334
Rogier MousDepartment of Hematology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Marie José KerstenCancer Center Amsterdam and LYMMCARE, Department of Hematology, Amsterdam University Medical Centers, 1105 AZ Amsterdam, The Netherlands.
Marjolein M W van der PoelDepartment of Internal Medicine, Division of Hematology, GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6229 HX Maastricht, The Netherlands.
Thomas TousseynDepartment of Pathology, University Hospitals Leuven, 3000 Leuven, Belgium.ORCID 0000-0002-0397-1086
F J Sherida H Woei-A-JinDepartment of General Medical Oncology, University Hospitals Leuven, 3000 Leuven, Belgium.ORCID 0000-0001-7840-6156
Arjan DiepstraDepartment of Pathology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0001-9239-1050
Marcel NijlandDepartment of Hematology, University Medical Center Groningen, University of Groningen, 9713 GZ Groningen, The Netherlands.ORCID 0000-0002-2740-2873
Joost S P VermaatDepartment of Hematology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.ORCID 0000-0002-1628-6256
Leiden University Medical Center · NLUniversity Medical Center Groningen · NLAmsterdam University Medical Centers · NLErasmus MC · NLKU Leuven · BEMaastricht University · NLRadboud University Nijmegen · NLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-expression profiling (GEP) is used to study the molecular biology of lymphomas. Here, advancing insights from GEP studies in diffuse large B-cell lymphoma (DLBCL) lymphomagenesis are discussed. GEP studies elucidated subtypes based on cell-of-origin principles and profoundly changed the biological understanding of DLBCL with clinical relevance. Studies integrating GEP and next-generation DNA sequencing defined different molecular subtypes of DLBCL entities originating at specific anatomical localizations. With the emergence of high-throughput technologies, the tumor microenvironment (TME) has been recognized as a critical component in DLBCL pathogenesis. TME studies have characterized so-called "lymphoma microenvironments" and "ecotypes". Despite gained insights, unexplained chemo-refractoriness in DLBCL remains. To further elucidate the complex biology of DLBCL, we propose a novel targeted GEP consortium panel, called BLYM-777. This knowledge-based biology-driven panel includes probes for 777 genes, covering many aspects regarding B-cell lymphomagenesis (f.e., MYC signature, TME, immune surveillance and resistance to CAR T-cell therapy). Regarding lymphomagenesis, upcoming DLBCL studies need to incorporate genomic and transcriptomic approaches with proteomic methods and correlate these multi-omics data with patient characteristics of well-defined and homogeneous cohorts. This multilayered methodology potentially enhances diagnostic classification of DLBCL subtypes, prognostication, and the development of novel targeted therapeutic strategies.

Indexed as

DLBCLgene-expression profilingintegration genomicslocalization

Identifiers

PMID35454765
PMCPMC9028345
OpenAlexW4224257397

What Socratic 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 Socratic graph.