Oops, you're using an old version of your browser so some of the features on this page may not be displaying properly.

MINIMAL Requirements: Google Chrome 24+Mozilla Firefox 20+Internet Explorer 11Opera 15–18Apple Safari 7SeaMonkey 2.15-2.23

Poster session 19

1069P - Potential biomarkers for predicting severe immune-related adverse events during checkpoint immunotherapy: T Cell receptor and whole exome sequencing findings from a prospective multicenter study

Date

21 Oct 2023

Session

Poster session 19

Topics

Clinical Research;  Immunotherapy

Tumour Site

Presenters

zhisong hu

Citation

Annals of Oncology (2023) 34 (suppl_2): S619-S650. 10.1016/S0923-7534(23)01940-3

Authors

Z. hu1, F. Zhang1, X. han1, S. Cheng2, Z. Yang3, Z. ma1, L. Wang1, H. tao1, S. Chen4, Y. Hu1

Author affiliations

  • 1 Department Of Medical Oncology, Chinese PLA General Hospital (301 Military Hospital), 100853 - Beijing/CN
  • 2 Oncology Academic Department, Haplox Biotechnology Co.,Ltd., Shenzhen/CN
  • 3 R&d Center, Bioinformatics Centre, Haplox Biotechnology Co.,Ltd., 518000 - Shenzhen/CN
  • 4 Cto, R&d Center, Haplox Biotechnology Co.,Ltd., 518000 - Shenzhen/CN

Resources

Login to get immediate access to this content.

If you do not have an ESMO account, please create one for free.

Abstract 1069P

Background

Grade 3/4 immune-related adverse events (severe irAEs), caused by anti-PD-1/PD-L1 antibodies, can lead to fulminant and even fatal consequences. However, the identification of biomarkers for irAEs prediction is lacking. Previous studies have suggested that germline mutations and T-cell receptor (TCR) diversity are associated with the development of irAEs during cancer immunotherapy. Here, our study aims to explore promising biomarkers for predicting severe irAEs.

Methods

Patients who received immune checkpoint inhibitors (ICIs) treatment between November 2021 and December 2022 were enrolled in a study with follow-up. Blood samples were collected at baseline and from those with severe irAEs during or after treatment. Blood samples underwent whole exome sequencing and TCR sequencing. Germline mutations were compared between severe irAEs and non-severe irAEs groups, with additional TCR analysis including diversity index and cluster analysis.

Results

The study enrolled 128 patients, among whom 12 (9.38%) developed serious irAEs. Germline mutations in 10 immune-related genes (MMEL1, MDM4, GPR35, LPP, BACH2, EGFR, JAK2, PTEN, SMAD3, TYK2) were significantly different between severe and non-severe irAEs groups (p < 0.05). TCR sequencing analysis revealed that 3 motifs in the severe irAEs group and 7 motifs in the non-severe irAEs group were also significantly different (p < 0.05). A PLS-DA analysis combining biomarkers, genes, and motifs successfully distinguished between the two groups. Additionally, we observed a significant decline in CDR3 counts from baseline to post-severe irAEs in TCR.

Conclusions

Study results indicated that germline mutations and changes in TCR characteristics may predict severe irAEs in cancer immunotherapy, emphasizing the need for further research and personalized management of these adverse events.

Clinical trial identification

ChiCTR2100052367.

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Haplox Biotechnology Co., Ltd.

Disclosure

S. Cheng: Financial Interests, Personal, Full or part-time Employment: Haplox Biotechnology Co., Ltd. Z. Yang: Financial Interests, Personal, Full or part-time Employment: Haplox Biotechnology Co., Ltd. S. Chen: Financial Interests, Personal, Member of Board of Directors: Haplox Biotechnology Co., Ltd. All other authors have declared no conflicts of interest.

This site uses cookies. Some of these cookies are essential, while others help us improve your experience by providing insights into how the site is being used.

For more detailed information on the cookies we use, please check our Privacy Policy.

Customise settings
  • Necessary cookies enable core functionality. The website cannot function properly without these cookies, and you can only disable them by changing your browser preferences.