Evidence map›Paper›PMID 33353234›Full record

ReviewCancers2020

Overcoming the Hurdles of Autologous T-Cell-Based Therapies in B-Cell Non-Hodgkin Lymphoma.

Jaco A C van Bruggen, Anne W J Martens, Sanne H Tonino, Arnon P Kater

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Engaging the Innate and Adaptive Antitumor Immune Response in Lymphoma.International journal of molecular sciences · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 2 countries.

Jaco A C van BruggenDepartment of Hematology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Anne W J MartensDepartment of Hematology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.ORCID 0000-0003-0858-2482
Sanne H ToninoDepartment of Hematology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Arnon P KaterDepartment of Hematology, Amsterdam UMC, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands.
Lymphoma Research Foundation · US

Funding

ZonMw 91715337
6 · The paper itself

Abstract

The next frontier towards a cure for B-cell non-Hodgkin lymphomas (B-NHL) is autologous cellular immunotherapy such as immune checkpoint blockade (ICB), bispecific antibodies (BsAbs) and chimeric antigen receptor (CAR) T-cells. While highly successful in various solid malignancies and in aggressive B-cell leukemia, this clinical success is often not matched in B-NHL. T-cell subset skewing, exhaustion, expansion of regulatory T-cell subsets, or other yet to be defined mechanisms may underlie the lack of efficacy of these treatment modalities. In this review, a systematic overview of results from clinical trials is given and is accompanied by reported data on T-cell dysfunction. From these results, we distill the underlying pathways that might be responsible for the observed differences in clinical responses towards autologous T-cell-based cellular immunotherapy modalities between diffuse large B-cell lymphoma (DLBCL), chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), mantle cell lymphoma (MCL), and marginal zone lymphoma (MZL). By integration of the clinical and biological findings, we postulate strategies that might enhance the efficacy of autologous-based cellular immunotherapy for the treatment of B-NHL.

Indexed as

bispecific antibodiesB-NHLCAR T-cellsCLLimmune checkpoint blockadeimmunotherapyT-cell dysfunction

Identifiers

PMID33353234
PMCPMC7765898
OpenAlexW3111380290

What Socratic 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 Socratic graph.