Evidence map›Paper›PMID 39911114›Full record

ArticleHaematologica2025

Deep immunophenotypic dissection and clinical impact of T cells in the follicular lymphoma microenvironment.

Sary El Daker, David Qualls, Andriy Derkach, Samida Beqaj, Leonardo Boiocchi, Venkatraman Seshan, Jeeyeon Baik, Menglei Zhu, Gilles Salles, Ahmet Dogan and 2 more

Abstract read
In one paragraph

Article in Haematologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Sary El DakerHematopathology Service, Department of Pathology and Laboratory Medicine.
David QuallsLymphoma Service, Department of Medicine.
Andriy DerkachDepartment of Epidemiology and Biostatistics.
Samida BeqajHematopathology Service, Department of Pathology and Laboratory Medicine.
Leonardo BoiocchiHematopathology Service, Department of Pathology and Laboratory Medicine.
Venkatraman SeshanDepartment of Epidemiology and Biostatistics.
Jeeyeon BaikHematopathology Service, Department of Pathology and Laboratory Medicine.
Menglei ZhuHematopathology Service, Department of Pathology and Laboratory Medicine.
Gilles SallesLymphoma Service, Department of Medicine.
Ahmet DoganHematopathology Service, Department of Pathology and Laboratory Medicine.
Mikhail RoshalHematopathology Service, Department of Pathology and Laboratory Medicine.
Pallavi GaleraHematopathology Service, Department of Pathology and Laboratory Medicine. GaleraP@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Follicular lymphoma (FL) is an indolent B-cell lymphoma with a heterogenous disease course, and patients may not require immediate treatment upon diagnosis. Scrutiny of its microenvironment may provide key insights into lymphomagenesis and enhancement of therapeutic options. We analyzed the T-cell composition of a large, well-annotated follicular hyperplasia (FH; N=43) cohort utilizing standardized high dimensionality flow cytometry (>150,000 cells analyzed/sample) and a novel reproducible analytical pipeline leading to identification of even minor T-cell subsets. This baseline reference set was compared to prospectively collected FL samples (N=91) from untreated patients (FL-UT) and patients with relapsed/refractory disease (FL-RR). Compared to FH, both FL-UT and FL-RR specimens exhibited depletion of CD4+ and CD8+ naïve subsets and were characterized by an immune suppressive microenvironment enriched in specific inhibitory T cells, along with exhausted memory T cells overexpressing varying combinations of immune checkpoint receptors. FL specimens showed enrichment of T-follicular regulatory cells (TFR) and two highly suppressive regulatory T-cell (T-reg) populations expressing TIGIT and CTLA4 (TC) and PD1, TIGIT, CTLA4, and TIM3 (PTCTi). FL-UT cases with either increased T-reg TC or increased T-follicular helper cells (TFH) showed reduced time to first treatment (</= 3 months). Our study suggests that changes in the balance between TFR, T-reg and TFH may lead to greater tumor growth and identifies factors that are associated with earlier time to treatment in FL-UT. We also identified specific combinations of immune checkpoint receptors that may be used to target specific inhibitory T-cell subsets and regulatory cells in FL to increase anti-tumor immune response.

Indexed as

Lymphoma, FollicularT-Lymphocyte SubsetsTumor MicroenvironmentAdultAgedFemaleHumansImmunophenotypingMaleMiddle Aged

Identifiers

PMID39911114
PMCPMC12358791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.