Evidence map›Paper›PMID 39622932›Full record

ArticleScientific reports2024

Differential tumor protein expression at follicular lymphoma diagnosis reveals dysregulation of key molecular pathways associated with histological transformation.

Marie Hairing Enemark, Katharina Wolter, Trine Engelbrecht Hybel, Maja Dam Andersen, Emma Frasez Sørensen, Linnea Meier Hindkaer, Kristina Lystlund Lauridsen, Charlotte Madsen, Trine Lindhardt Plesner, Stephen Hamilton-Dutoit and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Marie Hairing EnemarkDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Katharina WolterDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Trine Engelbrecht HybelDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Maja Dam AndersenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Emma Frasez SørensenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Linnea Meier HindkaerDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Kristina Lystlund LauridsenDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Charlotte MadsenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark.
Trine Lindhardt PlesnerDepartment of Pathology, Copenhagen University Hospital, Copenhagen, Denmark.
Stephen Hamilton-DutoitDepartment of Pathology, Aarhus University Hospital, Aarhus, Denmark.
Bent HonoréDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Maja LudvigsenDepartment of Hematology, Aarhus University Hospital, Aarhus, Denmark. majlud@rm.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Follicular lymphoma (FL) is the most common low-grade lymphoma. Despite its indolent nature, FL carries an inherent risk of histological transformation (HT) to a more aggressive lymphoma. Existing biomarkers are insufficient to predict HT, indicating the need for more robust biological predictors. Previously, we used mass spectrometry-based proteomics to identify differentially expressed proteins in diagnostic FLs with and without subsequent HT. This study sought to further investigate identified proteins in transformation of FL, generally acting in important cellular pathways such as (i) apoptosis (BID), (ii) cell cycle (CDC26, CDK6, SRSF1, SRSF2), (iii) GTPase signaling (IQGAP2, MEK1), (iv) cytoskeletal rearrangement and cellular migration (ACTB, CD11a, MMP9, SEPT6), and (v) immune processes (CD81, IgG, MPO, PIK3AP1). We analyzed pre-therapeutic samples from 48 FL patients, either non-transforming FL (nt-FL, n = 30) or subsequently-transforming FL (st-FL, n = 18), the latter with histologically-confirmed transformation after their initial FL diagnosis. Paired high-grade lymphomas (tFL, n = 18) from the time of transformation were also analyzed. We used immunohistochemistry and digital image analysis to quantify protein levels. In all five pathway classes, several proteins were differentially expressed between either the diagnostic nt-FL and st-FL samples, or between the paired st-FL and tFL samples (p < 0.05). Interestingly, we found correlation between expression levels of several proteins, indicating a complex involvement between several pathways. Differential expression of most proteins was also associated with shorter transformation-free survival (p < 0.05). These findings emphasize underlying differences in FL biology predictive of subsequent transformation, highlighting deregulation of important interconnected cellular pathways.

Indexed as

Biomarkers, TumorLymphoma, FollicularAdultAgedAged, 80 and overCell Transformation, NeoplasticFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedNeoplasm ProteinsProteomicsSignal TransductionBiomarkers, TumorNeoplasm ProteinsFollicular lymphomaHistological transformationProteomics

Identifiers

PMID39622932
PMCPMC11612490

What Socratic holds

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Registered trials

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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 Socratic graph.