Evidence map›Paper›PMID 33430146›Full record

ReviewCancers2021

Immune-Checkpoint Inhibitors in B-Cell Lymphoma.

Marc Armengol, Juliana Carvalho Santos, Miranda Fernández-Serrano, Núria Profitós-Pelejà, Marcelo Lima Ribeiro, Gaël Roué

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 5% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Polymorphisms and overexpression of immune checkpoints PD-1, PD-L1, and CTLA-4 in DLBCL: biomarker insights from a case-control study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Emerging Roles of Fc Receptor-Like 1 in Immunotherapy of Diffuse Large B-Cell Lymphoma.Biocell : official journal of the Sociedades Latinoamericanas de Microscopia Electronica ... et. al · 2025
    Article
  7. Review
  8. Article
  9. Review
  10. Review
  11. Review
  12. Article
  13. Local CpG-Molecular therapy. Nucleic acids · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. PD-L1Cold Spring Harbor molecular case studies · 2023
    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

6 authors at 1 institution in 2 countries.

Marc ArmengolLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.
Juliana Carvalho SantosLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.ORCID 0000-0003-4148-9570
Miranda Fernández-SerranoLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.ORCID 0000-0001-9040-8496
Núria Profitós-PelejàLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.
Marcelo Lima RibeiroLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.ORCID 0000-0003-4529-7832
Gaël RouéLymphoma Translational Group, Josep Carreras Leukaemia Research Institute (IJC), 08916 Badalona, Spain.ORCID 0000-0003-0245-2257
Josep Carreras Leukaemia Research Institute · ES

Funding

Instituto de Salud Carlos III PI18/01383
6 · The paper itself

Abstract

For years, immunotherapy has been considered a viable and attractive treatment option for patients with cancer. Among the immunotherapy arsenal, the targeting of intratumoral immune cells by immune-checkpoint inhibitory agents has recently revolutionised the treatment of several subtypes of tumours. These approaches, aimed at restoring an effective antitumour immunity, rapidly reached the market thanks to the simultaneous identification of inhibitory signals that dampen an effective antitumor response in a large variety of neoplastic cells and the clinical development of monoclonal antibodies targeting checkpoint receptors. Leading therapies in solid tumours are mainly focused on the cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) and programmed death 1 (PD-1) pathways. These approaches have found a promising testing ground in both Hodgkin lymphoma and non-Hodgkin lymphoma, mainly because, in these diseases, the malignant cells interact with the immune system and commonly provide signals that regulate immune function. Although several trials have already demonstrated evidence of therapeutic activity with some checkpoint inhibitors in lymphoma, many of the immunologic lessons learned from solid tumours may not directly translate to lymphoid malignancies. In this sense, the mechanisms of effective antitumor responses are different between the different lymphoma subtypes, while the reasons for this substantial difference remain partially unknown. This review will discuss the current advances of immune-checkpoint blockade therapies in B-cell lymphoma and build a projection of how the field may evolve in the near future. In particular, we will analyse the current strategies being evaluated both preclinically and clinically, with the aim of fostering the use of immune-checkpoint inhibitors in lymphoma, including combination approaches with chemotherapeutics, biological agents and/or different immunologic therapies.

Indexed as

combination therapiescytotoxic T-lymphocyte antigen 4immune checkpointlymphoid neoplasmsmonoclonal antibodiesprogrammed death 1

Identifiers

PMID33430146
PMCPMC7827333
OpenAlexW3112770004

What OpenQuestion 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 OpenQuestion graph.