Evidence map›Paper›PMID 39398477›Full record

ReviewOncoimmunology2024

The landscape of T-cell engagers for the treatment of follicular lymphoma.

Alfredo Rivas-Delgado, Ivan Landego, Lorenzo Falchi

Abstract readReview
In one paragraph

Review in Oncoimmunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

3 authors.

Alfredo Rivas-DelgadoDepartment of Medicine, Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, USA.
Ivan LandegoDepartment of Internal Medicine, Max Rady Faculty of Health Sciences, Section of Medical Oncology and Hematology, University of Manitoba, Winnipeg, MB, Canada.
Lorenzo FalchiDepartment of Medicine, Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, USA.

Funding

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

Abstract

Follicular lymphoma (FL), the second most common subtype of non-Hodgkin lymphoma, relies on interactions with immune elements in the tumor microenvironment, including T-follicular helper cells and follicular dendritic cells, for its survival and progression. Despite its initial responsiveness to chemoimmunotherapy, FL is generally considered incurable. Strategies to improve immune-mediated control of FL could significantly benefit this population, particularly as it includes many elderly and comorbid patients. Immune cell engagers, especially bispecific antibodies (BsAbs), are crucial in targeting FL by bridging tumor and effector cells, thereby triggering T-cell activation and cytotoxic killing. CD3 × CD20 BsAbs have shown the most promise in clinical development for B-NHL patients, with structural variations affecting their target affinity and potency. This review summarizes the current clinical trials of BsAbs for relapsed/refractory FL, highlighting the approval of some agents, their role in first-line treatment or combination therapies, their toxicity profiles, and the future of this therapeutic approach compared to other immune cell therapies.

Indexed as

Antibodies, BispecificLymphoma, FollicularAntineoplastic Agents, ImmunologicalClinical Trials as TopicHumansImmunotherapyT-LymphocytesTumor MicroenvironmentAntibodies, BispecificAntineoplastic Agents, ImmunologicalBispecific antibodiesepcoritamabfollicular lymphomaglofitamabimmunotherapymosunetuzumabodronextamab

Identifiers

PMID39398477
PMCPMC11468044

What OpenQuestion holds

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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.