Evidence map›Paper›PMID 35947123›Full record

ArticleBlood advances2023

Longitudinal expression profiling identifies a poor risk subset of patients with ABC-type diffuse large B-cell lymphoma.

Findlay Bewicke-Copley, Koorosh Korfi, Shamzah Araf, Brendan Hodkinson, Emil Kumar, Thomas Cummin, Margaret Ashton-Key, Sharon Barrans, Suzan van Hoppe, Cathy Burton and 26 more

Abstract read
In one paragraph

Article in Blood advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

36 authors.

Findlay Bewicke-CopleyCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0003-1292-7965
Koorosh KorfiCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.
Shamzah ArafCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.
Brendan HodkinsonOncology Translational Research, Janssen Research & Development, Spring House, PA.
Emil KumarCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.
Thomas CumminCancer Research UK Centre, University of Southampton, Southampton, UK.
Margaret Ashton-KeyCellular Pathology, University Hospital Southampton NHS Foundation Trust, Southampton, UK.ORCID 0000-0002-7451-363X
Sharon BarransHaematological Malignancy Diagnostic Service, St. James's Institute of Oncology, Leeds, UK.
Suzan van HoppeHaematological Malignancy Diagnostic Service, St. James's Institute of Oncology, Leeds, UK.
Cathy BurtonHaematological Malignancy Diagnostic Service, St. James's Institute of Oncology, Leeds, UK.
Mohamed ElshiekhCellular & Molecular Pathology, Imperial College NHS Trust & Imperial College London, London, UK.
Simon RuleDepartment of Haematology, Derriford Hospital, University of Plymouth, Plymouth, UK.ORCID 0000-0001-8937-6351
Nicola CrosbieDepartment of Haematology, University Hospitals Plymouth NHS Trust, Plymouth, UK.
Andrew ClearCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0001-8246-5642
Maria CalaminiciCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University, London, UK.
Hendrik RungeWellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0002-4282-1515
Robert K HillsNuffield Department of Population Health, University of Oxford, Oxford, UK.
David W ScottBC Cancer Centre for Lymphoid Cancer and Department of Medicine, University of British Columbia, Vancouver, BC Canada.ORCID 0000-0002-0435-5947
Lisa M RimszaDepartment of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Phoenix AZ.
Geetha MenonHaemato-Oncology Diagnostic Service, Liverpool Clinical Laboratories, Liverpool, UK.
Chulin ShaSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
John R DaviesSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.
Ai NaganoCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0002-2354-660X
Andrew DaviesCancer Research UK Centre, University of Southampton, Southampton, UK.ORCID 0000-0002-7517-6938
Daniel PainterEpidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK.ORCID 0000-0002-3936-7569
Alexandra SmithEpidemiology and Cancer Statistics Group, Department of Health Sciences, University of York, York, UK.ORCID 0000-0002-1111-966X
John GribbenCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0002-8505-7430
Kikkeri N NareshCellular & Molecular Pathology, Imperial College NHS Trust & Imperial College London, London, UK.
David R WestheadSchool of Molecular and Cellular Biology, University of Leeds, Leeds, UK.ORCID 0000-0002-0519-3820
Jessica OkosunCentre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0001-6021-5044
Andrew SteeleOncology Translational Research, Janssen Research & Development, San Diego, CA.ORCID 0000-0003-0667-1596
Daniel J HodsonWellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.ORCID 0000-0001-6225-2033
Sriram BalasubramanianOncology Translational Research, Janssen Research & Development, San Diego, CA.
Peter JohnsonCancer Research UK Centre, University of Southampton, Southampton, UK.ORCID 0000-0003-2306-4974
Jun WangCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0003-2509-9599
Jude FitzgibbonCentre for Cancer Genomics and Computational Biology, Barts Cancer Institute, Queen Mary University, London, UK.ORCID 0000-0002-9069-1866

Funding

Cancer Research UK 15037Cancer Research UK 26819Cancer Research UK 29685Cancer Research UK C16420/A18066Cancer Research UK C57432/A22742
6 · The paper itself

Abstract

Despite the effectiveness of immuno-chemotherapy, 40% of patients with diffuse large B-cell lymphoma (DLBCL) experience relapse or refractory disease. Longitudinal studies have previously focused on the mutational landscape of relapse but fell short of providing a consistent relapse-specific genetic signature. In our study, we have focused attention on the changes in GEP accompanying DLBCL relapse using archival paired diagnostic/relapse specimens from 38 de novo patients with DLBCL. COO remained stable from diagnosis to relapse in 80% of patients, with only a single patient showing COO switching from activated B-cell-like (ABC) to germinal center B-cell-like (GCB). Analysis of the transcriptomic changes that occur following relapse suggest ABC and GCB relapses are mediated via different mechanisms. We developed a 30-gene discriminator for ABC-DLBCLs derived from relapse-associated genes that defined clinically distinct high- and low-risk subgroups in ABC-DLBCLs at diagnosis in datasets comprising both population-based and clinical trial cohorts. This signature also identified a population of <60-year-old patients with superior PFS and OS treated with ibrutinib-R-CHOP as part of the PHOENIX trial. Altogether this new signature adds to the existing toolkit of putative genetic predictors now available in DLBCL that can be readily assessed as part of prospective clinical trials.

Indexed as

Lymphoma, Large B-Cell, DiffuseNeoplasm Recurrence, LocalB-LymphocytesGerminal CenterHumansMiddle AgedProspective Studies

Identifiers

PMID35947123
PMCPMC9986713

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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.