Tumor neoantigenicity assessment with CSiN score incorporates clonality and immunogenicity to predict immunotherapy outcomes.


Journal

Science immunology
ISSN: 2470-9468
Titre abrégé: Sci Immunol
Pays: United States
ID NLM: 101688624

Informations de publication

Date de publication:
21 02 2020
Historique:
received: 29 08 2019
revised: 11 11 2019
accepted: 30 01 2020
entrez: 23 2 2020
pubmed: 23 2 2020
medline: 15 12 2020
Statut: ppublish

Résumé

Lack of responsiveness to checkpoint inhibitors is a central problem in the modern era of cancer immunotherapy. Tumor neoantigens are critical targets of the host antitumor immune response, and their presence correlates with the efficacy of immunotherapy treatment. Many studies involving assessment of tumor neoantigens principally focus on total neoantigen load, which simplistically treats all neoantigens equally. Neoantigen load has been linked with treatment response and prognosis in some studies but not others. We developed a Cauchy-Schwarz index of Neoantigens (CSiN) score to better account for the degree of concentration of immunogenic neoantigens in truncal mutations. Unlike total neoantigen load determinations, CSiN incorporates the effect of both clonality and MHC binding affinity of neoantigens when characterizing tumor neoantigen profiles. By analyzing the clinical responses in 501 treated patients with cancer (with most receiving checkpoint inhibitors) and the overall survival of 1978 patients with cancer at baseline, we showed that CSiN scores predict treatment response to checkpoint inhibitors and prognosis in patients with melanoma, lung cancer, and kidney cancer. CSiN score substantially outperformed prior genetics-based prediction methods of responsiveness and fills an important gap in research involving assessment of tumor neoantigen burden.

Identifiants

pubmed: 32086382
pii: 5/44/eaaz3199
doi: 10.1126/sciimmunol.aaz3199
pmc: PMC7239327
mid: NIHMS1581910
pii:
doi:

Substances chimiques

Antigens, Neoplasm 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : P30 CA142543
Pays : United States
Organisme : NIEHS NIH HHS
ID : R03 ES026397
Pays : United States

Informations de copyright

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

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Auteurs

Tianshi Lu (T)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Shidan Wang (S)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Lin Xu (L)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Division of Hematology/Oncology, Department of Pediatrics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Qinbo Zhou (Q)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Nirmish Singla (N)

Department of Urology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Jianjun Gao (J)

Department of Genitourinary Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Subrata Manna (S)

Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Laurentiu Pop (L)

Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Zhiqun Xie (Z)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Mingyi Chen (M)

Department of Pathology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Jason J Luke (JJ)

University of Pittsburgh Medical Center, Pittsburgh, PA 15213, USA.

James Brugarolas (J)

Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas 75390, USA.

Raquibul Hannan (R)

Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Department of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

Tao Wang (T)

Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. tao.wang@utsouthwestern.edu.
Kidney Cancer Program, Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.

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