Evidence map›Paper›PMID 34771694›Full record

ReviewCancers2021

PI3Kδ Inhibitors as Immunomodulatory Agents for the Treatment of Lymphoma Patients.

Chiara Tarantelli, Lisa Argnani, Pier Luigi Zinzani, Francesco Bertoni

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 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

25 citing papers in PubMed, 31 citations in OpenAlex.

  1. Trial
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  14. Targeting T regulatory (TCancer drug resistance (Alhambra, Calif.) · 2024
    Review
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  18. Article
  19. Review
  20. Insights into the tumor microenvironment of B cell lymphoma.Journal of experimental & clinical cancer research : CR · 2022
    Review
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

4 authors at 3 institutions in 2 countries.

Chiara TarantelliInstitute of Oncology Research, Faculty of Biomedical Sciences, USI, 6500 Bellinzona, Switzerland.ORCID 0000-0002-4394-7742
Lisa ArgnaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0003-4225-4626
Pier Luigi ZinzaniIRCCS Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy.ORCID 0000-0002-2112-2651
Francesco BertoniInstitute of Oncology Research, Faculty of Biomedical Sciences, USI, 6500 Bellinzona, Switzerland.
Istituto di Ematologia di Bologna · ITEnte Ospedaliero Cantonale · CHInstitute of Oncology Research · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of small molecules able to block specific or multiple isoforms of phosphoinositide 3-kinases (PI3K) has already been an active field of research for many years in the cancer field. PI3Kδ inhibitors are among the targeted agents most extensively studied for the treatment of lymphoma patients and PI3Kδ inhibitors are already approved by regulatory agencies. More recently, it became clear that the anti-tumor activity of PI3K inhibitors might not be due only to a direct effect on the cancer cells but it can also be mediated via inhibition of the kinases in non-neoplastic cells present in the tumor microenvironment. T-cells represent an important component of the tumor microenvironment and they comprise different subpopulations that can have both anti- and pro-tumor effects. In this review article, we discuss the effects that PI3Kδ inhibitors exert on the immune system with a particular focus on the T-cell compartment.

Indexed as

B-cellscancerchemokineimmune checkpoint inhibitorslymphomamacrophagesPI3K inhibitorsT-cellstumor

Identifiers

PMID34771694
PMCPMC8582887
OpenAlexW3209431173

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.