Evidence map›Paper›PMID 37604642›Full record

ArticleJournal for immunotherapy of cancer2023

T-cell receptor beta variable gene polymorphism predicts immune-related adverse events during checkpoint blockade immunotherapy.

Bettzy Stephen, Joud Hajjar, Shrutii Sarda, Dzifa Yawa Duose, Jeffrey M Conroy, Carl Morrison, Anas Alshawa, Mingxuan Xu, Abdulrazzak Zarifa, Sapna P Patel and 9 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 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. The Immune Checkpoint Inhibitors Journey: From Early Promise to Lasting Impact.Journal of immunotherapy and precision oncology · 2026
    Review
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  13. Pulmonary toxicity of immune checkpoint immunotherapy.The Journal of clinical investigation · 2024
    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

19 authors at 4 institutions in 1 country.

Bettzy Stephen *Investigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Joud Hajjar *Adult Allergy and Immunology, Baylor College of Medicine and Texas Children's Hospital, Houston, Texas, USA.
Shrutii SardaThermo Fisher Scientific, Carlsbad, California, USA.
Dzifa Yawa DuoseTranslational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jeffrey M ConroyOmniSeq Inc, Buffalo, New York, USA.
Carl MorrisonRoswell Park Comprehensive Cancer Center, Buffalo, New York, USA.
Anas AlshawaInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Mingxuan XuInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Abdulrazzak ZarifaInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sapna P PatelMelanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.ORCID 0000-0003-1339-1517
Ying YuanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Evan KwiatkowskiDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Linghua WangGenomic Medicine, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Jordi Rodon AhnertInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Siqing FuInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Funda Meric-BernstamInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Geoffrey M LowmanThermo Fisher Scientific, Carlsbad, California, USA.ORCID 0000-0002-1498-4165
Timothy Looney *Thermo Fisher Scientific, Clinical Next-Generation Sequencing, Austin, Texas, USA.
Aung NaingInvestigational Cancer Therapeutics, University of Texas MD Anderson Cancer Center, Houston, Texas, USA anaing@mdanderson.org.ORCID 0000-0002-4803-8513
The University of Texas MD Anderson Cancer Center · USThermo Fisher Scientific (United States) · USBaylor College of Medicine · USRoswell Park Comprehensive Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Training Program in Biostatistics for Cancer ResearchT32CA096520 · NCI · RICE UNIVERSITY · PI KIMMEL, MAREK, YUAN, YING · 2003 to 2023
$4.5M
NCI NIH HHS P30 CA016672NCI NIH HHS T32 CA096520
6 · The paper itself

Abstract

backgroundImmune checkpoint inhibitors have revolutionized cancer treatment. However, they are associated with a unique spectrum of side effects, called immune-related adverse events (irAEs), which can cause significant morbidity and quickly progress to severe or life-threatening events if not treated promptly. Identifying predictive biomarkers for irAEs before immunotherapy initiation is therefore a critical area of research. Polymorphisms within the T-cell receptor beta (TCRB) variable (TRBV) gene have been implicated in autoimmune disease and may be mechanistically linked to irAEs. However, the repetitive nature of the TCRB locus and incomplete genome assembly has hampered the evaluation of TRBV polymorphisms in the past. PATIENTS AND

methodsWe used a novel method for long-amplicon next generation sequencing of rearranged TCRB chains from peripheral blood total RNA to evaluate the link between TRBV polymorphisms and irAEs in patients treated with immunotherapy for cancer. We employed multiplex PCR to create amplicons spanning the three beta chain complementarity-determining regions (CDR) regions to enable detection of polymorphism within the germline-encoded framework and CDR1 and CDR2 regions in addition to CDR3 profiling. Resultant amplicons were sequenced via the Ion Torrent and TRBV allele profiles constructed for each individual was correlated with irAE annotations to identify haplotypes associated with severe irAEs (≥ grade 3).

resultsOur study included 81 patients who had irAEs when treated with immunotherapy for cancer. By using principal component analysis of the 81 TRBV allele profiles followed by k-means clustering, we identified six major TRBV haplotypes. Strikingly, we found that one-third of this cohort possessed a TRBV allele haplotype that appeared to be protective against severe irAEs.

conclusionThe data suggest that long-amplicon TCRB repertoire sequencing can potentially identify TRBV haplotype groups that correlate with the risk of severe irAEs. Germline-encoded TRBV polymorphisms may serve as a predictive biomarker of severe irAEs.

Indexed as

Autoimmune DiseasesDrug-Related Side Effects and Adverse ReactionsHumansImmune Checkpoint InhibitorsImmunotherapyReceptors, Antigen, T-CellImmune Checkpoint InhibitorsReceptors, Antigen, T-Cellimmune checkpoint inhibitorstranslational medical research

Identifiers

PMID37604642
PMCPMC10445351
OpenAlexW4386035017

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.