Evidence map›Paper›PMID 37580069›Full record

ArticleJournal for immunotherapy of cancer2023

T-cell tolerant fraction as a predictor of immune-related adverse events.

Jared Ostmeyer, Jason Y Park, Mitchell S von Itzstein, David Hsiehchen, Farjana Fattah, Mary Gwin, Rodrigo Catalan, Shaheen Khan, Prithvi Raj, Edward K Wakeland and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Current and Future of Biomarkers of Immune Related Adverse Events.Rheumatic diseases clinics of North America · 2024
    Review
  6. Article
  7. 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

12 authors at 1 institution in 1 country.

Jared OstmeyerPeter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Jason Y ParkDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mitchell S von ItzsteinDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
David HsiehchenDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Farjana FattahHarold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Mary GwinDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Rodrigo CatalanHarold C Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Shaheen KhanDepartment of Pathology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Prithvi RajDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Edward K WakelandDepartment of Immunology, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
Yang XiePeter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA.
David E GerberPeter O'Donnell School of Public Health, University of Texas Southwestern Medical Center, Dallas, Texas, USA David.Gerber@utsouthwestern.edu.ORCID 0000-0002-7812-6741
The University of Texas Southwestern Medical Center · US

Funding

UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI HEYMACH, JOHN V., MINNA, JOHN D. · 1996 to 2024
$57.4M
UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
Finding the optimal balance of immunotherapy efficacy and toxicity.U01AI156189 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GERBER, DAVID ERIC, WAKELAND, EDWARD K. · 2020 to 2024
$3.1M
University of Texas Southwestern - Stimulating Access to Research in Residency (UT-StARR) ProgramR38HL150214 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI Anand Kumar Rohatgi · 2021 to 2026
$1.8M
NCI NIH HHS P30 CA142543NCI NIH HHS P50 CA070907NHLBI NIH HHS R38 HL150214NIAID NIH HHS U01 AI156189
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitor (ICI) therapies may cause unpredictable and potentially severe autoimmune toxicities termed immune-related adverse events (irAEs). Because T cells mediate ICI effects, T cell profiling may provide insight into the risk of irAEs. Here we evaluate a novel metric-the T-cell tolerant fraction-as a predictor of future irAEs.

methodsWe examined T-cell receptor beta (TRB) locus sequencing from baseline pretreatment samples from an institutional registry and previously published studies. For each patient, we used TRB sequences to calculate the T-cell tolerant fraction, which was then assessed as a predictor of future irAEs (classified as Common Terminology Criteria for Adverse Event grade 0-1 vs grade ≥2). We then compared the tolerant fraction to TRB clonality and diversity. Finally, the tolerant fraction was assessed on (1) T cells enriched against napsin A, a potential autoantigen of irAEs; (2) thymic versus peripheral blood T cells; and (3) TRBs specific for various infections and autoimmune diseases.

resultsA total of 77 patients with cancer (22 from an institutional registry and 55 from published studies) receiving ICI therapy (43 CTLA4, 19 PD1/PDL1, 15 combination CTLA4+PD1/PDL1) were included in the study. The tolerant fraction was significantly lower in cases with clinically significant irAEs (p<0.001) and had an area under the receiver operating curve (AUC) of 0.79. The tolerant fraction was lower for each ICI treatment category, reaching statistical significance for CTLA4 (p<0.001) and demonstrating non-significant trends for PD1/PDL1 (p=0.21) and combination ICI (p=0.18). The tolerant fraction for T cells enriched against napsin A was lower than other samples. The tolerant fraction was also lower in thymic versus peripheral blood samples, and lower in some (multiple sclerosis) but not other (type 1 diabetes) autoimmune diseases. In our study cohort, TRB clonality had an AUC of 0.62, and TRB diversity had an AUC of 0.60 for predicting irAEs.

conclusionsAmong patients receiving ICI, the baseline T-cell tolerant fraction may serve as a predictor of clinically significant irAEs.

Indexed as

Autoimmune DiseasesImmune System DiseasesNeoplasmsCTLA-4 AntigenHumansT-LymphocytesCTLA-4 AntigenAutoimmunityImmune ToleranceImmunotherapyT-LymphocytesTranslational Medical Research

Identifiers

PMID37580069
PMCPMC10432621
OpenAlexW4385813217

What OpenQuestion holds

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LicenceCC BY-NC
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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.