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Poster display session

323P - Novel tumour mutation score versus tumour mutation burden in predicting survival after immunotherapy in pan-cancer from MSK-IMPACT cohort

Date

23 Nov 2019

Session

Poster display session

Topics

Immunotherapy

Tumour Site

Presenters

Yuan Li

Citation

Annals of Oncology (2019) 30 (suppl_9): ix107-ix114. 10.1093/annonc/mdz438

Authors

Y. Li1, Z. Chen2, L. Wu1, W. Tao1

Author affiliations

  • 1 Department Of Oncology, Renmin Hospital of Wuhan University, 430060 - Wuhan/CN
  • 2 Department Of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030 - Wuhan/CN

Resources

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Abstract 323P

Background

Tumor mutation burden (TMB) may predict immune checkpoint inhibitor (ICI) response. TMB calculation included all nonsynonymous somatic mutations, but not all mutations were favorable and the efficient of TMB is attenuated by including adverse mutations. Moreover, no universal cutoff value of high TMB hindered its application in practice.

Methods

Tumor mutation score (TMS), defined as number of genes with nonsynonymous somatic mutations, was compared with TMB in 10,336 cancer patients from MSK-IMPACT cohort. TMS55, TMS of 55 favorable prognosis genes and TMB were calculated and compared in 1,661 advanced cancer patients treated with ICI and 3,840 matching non-ICI patients of ten major cancer types.

Results

TMS55 was significantly associated with TMB. In 1,661 ICI patients, high TMS55 (TMS55>5) was more robust than high TMB (highest 20% in each histology) in predicting better overall survival. Separately, TMS55 was significantly associated with improved survival in more tumor types than TMB with smaller hazard ratio values, especially in non-small cell lung cancer, melanoma, bladder cancer and colorectal cancer. Conversely, high TMS55 and TMB predicted worse overall survival in 3,840 non-ICI patients.

Conclusions

Novel TMS55 might be better than TMB as biomarker for patients treated with ICI and customized TMS might substitute non-selective TMB as mutation-based biomarker. Easy calculation and universal cutoff value of TMS will not be affected across platforms and is more feasible in clinical, which may greatly promote its application in clinical with further validations.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

Has not received any funding.

Disclosure

All authors have declared no conflicts of interest.

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