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  3. Cancer-Specific Thresholds Adjust for Whole Exome Sequencing-based Tumor Mutational Burden Distribution.
 

Cancer-Specific Thresholds Adjust for Whole Exome Sequencing-based Tumor Mutational Burden Distribution.

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BORIS DOI
10.7892/boris.136421
Publisher DOI
10.1200/PO.18.00400
PubMed ID
31475242
Description
Purpose

To understand the clinical context of tumor mutational burden (TMB) when comparing a pan-cancer threshold and a cancer-specific threshold.

Materials and Methods

Using whole exome sequencing (WES) data from primary tumors in The Cancer Genome Atlas (TCGA) (n=3,534) and advanced/metastatic tumors from Weill Cornell Medicine (WCM Advanced) (n=696), TMB status was determined using a pan-cancer and cancer-specific threshold. Survival curves, number of samples classified as TMB high, and predicted neoantigens were used to evaluate the differences between thresholds.

Results

The distribution of TMB varied dramatically between cancer types. A cancer-specific threshold was able to adjust for the different TMB distributions, while the pan-cancer threshold was often too stringent. The dynamic nature of the cancer-specific threshold resulted in more tumors being classified as TMB high compared to the static pan-cancer threshold. Additionally, no significant difference in survival outcomes was found with the cancer-specific threshold compared to the pan-cancer one. Further, the cancer-specific threshold maintains higher predicted neoantigen load for the TMB high samples compared to the TMB low samples, even when the threshold is lower than the pan-cancer threshold.

Conclusion

TMB is relative to the context of cancer type, metastatic state, and disease stage. Compared to a pan-cancer threshold, a cancer-specific threshold classifies more patients as TMB high while maintaining clinical outcomes that were not significantly different. Furthermore, the cancer-specific threshold identifies patients with a high number of predicted neoantigens. Due to the potential impact in cancer patient care, TMB status should be determined in a cancer-specific manner.
Date of Publication
2019
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Contributor(s)
Fernandez, Evan M
Eng, Kenneth
Beg, Shaham
Beltran, Himisha
Faltas, Bishoy M
Mosquera, Juan Miguel
Nanus, David M
Pisapia, David J
Rao, Rema A
Robinson, Brian D
Rubin, Mark Andrew
Department for BioMedical Research, Forschungsgruppe Präzisionsonkologie
Department for BioMedical Research (DBMR)
Elemento, Olivier
Sboner, Andrea
Shah, Manish A
Song, Wei
Additional Credits
Department for BioMedical Research, Forschungsgruppe Präzisionsonkologie
Series
JCO precision oncology
Publisher
American Society of Clinical Oncology
ISSN
2473-4284
Access(Rights)
restricted
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