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Cited by 447

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Molecular signatures of antitumor neoantigen-reactive T cells from metastatic human cancers

Open access
Lowery, Frank J., Krishna, Sri, Yossef, Rami, Parikh, Neilesh B., Chatani, Praveen D., Zacharakis, Nikolaos, Parkhurst, Maria R., Levin, Noam, Sindiri, Sivasish, Sachs, Abraham, Hitscherich, Kyle J., Yu, Zhiya, Vale, Nolan R., Lu, Yong-Chen, Zheng, Zhili, Jia, Li, Gartner, Jared J., Hill, Victoria K., Copeland, Amy R., Nah, Shirley K., Masi, Robert V., Gasmi, Billel, Kivitz, Scott, Paria, Biman C., Florentin, Maria, Kim, Sanghyun P., Hanada, Ken-ichi, Li, Yong F., Ngo, Lien T., Ray, Satyajit, Shindorf, Mackenzie L., Levi, Shoshana T., Shepherd, Ryan, Toy, Chris, Parikh, Anup Y., Prickett, Todd D., Kelly, Michael C., Beyer, Rachel, Goff, Stephanie L., Yang, James C., Robbins, Paul F., Rosenberg, Steven A.·2022·Science

Abstract

The accurate identification of antitumor T cell receptors (TCRs) represents a major challenge for the engineering of cell-based cancer immunotherapies. By mapping 55 neoantigen-specific TCR clonotypes (NeoTCRs) from 10 metastatic human tumors to their single-cell transcriptomes, we identified signatures of CD8 + and CD4 + neoantigen-reactive tumor-infiltrating lymphocytes (TILs). Neoantigen-specific TILs exhibited tumor-specific expansion with dysfunctional phenotypes, distinct from blood-emigrant bystanders and regulatory TILs. Prospective prediction and testing of 73 NeoTCR signature–derived clonotypes demonstrated that half of the tested TCRs recognized tumor antigens or autologous tumors. NeoTCR signatures identified TCRs that target driver neoantigens and nonmutated viral or tumor-associated antigens, suggesting a common metastatic TIL exhaustion program. NeoTCR signatures delineate the landscape of TILs across metastatic tumors, enabling successful TCR prediction based purely on TIL transcriptomic states for use in cancer immunotherapy.

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Metadata

Authors
Lowery, F. J., Krishna, S., Yossef, R., Parikh, N. B., Chatani, P. D., Zacharakis, N., Parkhurst, M. R., Levin, N., Sindiri, S., Sachs, A., Hitscherich, K. J., Yu, Z., Vale, N. R., Lu, Y.-C., Zheng, Z., Jia, L., Gartner, J. J., Hill, V. K., Copeland, A. R., Nah, S. K., Masi, R. V., Gasmi, B., Kivitz, S., Paria, B. C., Florentin, M., Kim, S. P., Hanada, K.-I., Li, Y. F., Ngo, L. T., Ray, S., Shindorf, M. L., Levi, S. T., Shepherd, R., Toy, C., Parikh, A. Y., Prickett, T. D., Kelly, M. C., Beyer, R., Goff, S. L., Yang, J. C., Robbins, P. F., & Rosenberg, S. A.
Venue
Science
Published
2022-02-25
Volume
375
Issue
6583
Pages
877-884
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W4210297691
Cited by
447
References
27
FWCI
33.26
Type
journal article
Language
en
Open access
green

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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