Evidence map›Paper›PMID 37138866›Full record

ArticleFrontiers in immunology2023

LCL161 enhances expansion and survival of engineered anti-tumor T cells but is restricted by death signaling.

Arya Afsahi, Christopher M Silvestri, Allyson E Moore, Carly F Graham, Kaylyn Bacchiochi, Martine St-Jean, Christopher L Baker, Robert G Korneluk, Shawn T Beug, Eric C LaCasse and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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
0.5field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
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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

11 authors at 3 institutions in 1 country.

Arya AfsahiCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Christopher M SilvestriCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Allyson E MooreCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Carly F GrahamCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Kaylyn BacchiochiMcMaster Immunology Research Center, McMaster University, Hamilton, ON, Canada.
Martine St-JeanApoptosis Research Centre, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
Christopher L BakerCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Robert G KornelukApoptosis Research Centre, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
Shawn T BeugApoptosis Research Centre, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
Eric C LaCasseApoptosis Research Centre, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, Canada.
Jonathan L BramsonCentre for Discovery in Cancer Research, McMaster University, Hamilton, ON, Canada.
Children's Hospital of Eastern Ontario · CAMcMaster University · CADiscovery Centre · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The genesis of SMAC mimetic drugs is founded on the observation that many cancers amplify IAP proteins to facilitate their survival, and therefore removal of these pathways would re-sensitize the cells towards apoptosis. It has become increasingly clear that SMAC mimetics also interface with the immune system in a modulatory manner. Suppression of IAP function by SMAC mimetics activates the non-canonical NF-κB pathway which can augment T cell function, opening the possibility of using SMAC mimetics to enhance immunotherapeutics. Methods: We have investigated the SMAC mimetic LCL161, which promotes degradation of cIAP-1 and cIAP-2, as an agent for delivering transient costimulation to engineered BMCA-specific human TAC T cells. In doing so we also sought to understand the cellular and molecular effects of LCL161 on T cell biology. Results: LCL161 activated the non-canonical NF-κB pathway and enhanced antigen-driven TAC T cell proliferation and survival. Transcriptional profiling from TAC T cells treated with LCL161 revealed differential expression of costimulatory and apoptosis-related proteins, namely CD30 and FAIM3. We hypothesized that regulation of these genes by LCL161 may influence the drug's effects on T cells. We reversed the differential expression through genetic engineering and observed impaired costimulation by LCL161, particularly when CD30 was deleted. While LCL161 can provide a costimulatory signal to TAC T cells following exposure to isolated antigen, we did not observe a similar pattern when TAC T cells were stimulated with myeloma cells expressing the target antigen. We questioned whether FasL expression by myeloma cells may antagonize the costimulatory effects of LCL161. Fas-KO TAC T cells displayed superior expansion following antigen stimulation in the presence of LCL161, suggesting a role for Fas-related T cell death in limiting the magnitude of the T cell response to antigen in the presence of LCL161. Conclusions: Our results demonstrate that LCL161 provides costimulation to TAC T cells exposed to antigen alone, however LCL161 did not enhance TAC T cell anti-tumor function when challenged with myeloma cells and may be limited due to sensitization of T cells towards Fas-mediated apoptosis.

Indexed as

Multiple MyelomaNF-kappa BCell Line, TumorHumansInhibitor of Apoptosis ProteinsThiazolesInhibitor of Apoptosis ProteinsLCL161NF-kappa BThiazolesadoptive T cell therapiescancer immunotherapyengineered T cellsLCL161multiple myelomaSMAC mimetics

Identifiers

PMID37138866
PMCPMC10150108
OpenAlexW4366222007

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.