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Cited by 365

The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.

Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification

Open access
Leader, Andrew M., Grout, John A., Maier, Barbara B., Nabet, Barzin Y., Park, Matthew D., Tabachnikova, Alexandra, Chang, Christie, Walker, Laura, Lansky, Alona, Le Berichel, Jessica, Troncoso, Leanna, Malissen, Nausicaa, Davila, Melanie, Martin, Jerome C., Magri, Giuliana, Tuballes, Kevin, Zhao, Zhen, Petralia, Francesca, Samstein, Robert, D’Amore, Natalie Roy, Thurston, Gavin, Kamphorst, Alice O., Wolf, Andrea, Flores, Raja, Wang, Pei, Müller, Sören, Mellman, Ira, Beasley, Mary Beth, Salmon, Hélène, Rahman, Adeeb H., Marron, Thomas U., Kenigsberg, Ephraim, Merad, Miriam·2021·Cancer Cell

Abstract

SUMMARY Immunotherapy is a mainstay of non-small cell lung cancer (NSCLC) management. While tumor mutational burden (TMB) correlates with response to immunotherapy, little is known about the relationship between the baseline immune response and tumor genotype. Using single-cell RNA sequencing, we profiled 361,929 cells from 35 early-stage NSCLC lesions. We identified a cellular module consisting of PDCD1+CXCL13+ activated T cells, IgG+ plasma cells, and SPP1+ macrophages, referred to as the lung cancer activation module (LCAMhi). We confirmed LCAMhi enrichment in multiple NSCLC cohorts, and paired CITE-seq established an antibody panel to identify LCAMhi lesions. LCAM presence was found to be independent of overall immune cell content and correlated with TMB, cancer testis antigens, and TP53 mutations. High baseline LCAM scores correlated with enhanced NSCLC response to immunotherapy even in patients with above median TMB, suggesting that immune cell composition, while correlated with TMB, may be a nonredundant biomarker of response to immunotherapy.

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Metadata

Authors
Leader, A. M., Grout, J. A., Maier, B. B., Nabet, B. Y., Park, M. D., Tabachnikova, A., Chang, C., Walker, L., Lansky, A., Le Berichel, J., Troncoso, L., Malissen, N., Davila, M., Martin, J. C., Magri, G., Tuballes, K., Zhao, Z., Petralia, F., Samstein, R., D’Amore, N. R., Thurston, G., Kamphorst, A. O., Wolf, A., Flores, R., Wang, P., Müller, S., Mellman, I., Beasley, M. B., Salmon, H., Rahman, A. H., Marron, T. U., Kenigsberg, E., & Merad, M.
Venue
Cancer Cell
Publisher
Elsevier BV
Published
2021-12
Volume
39
Issue
12
Pages
1594-1609.e12
ISSN
1535-6108 (ISSN-L)
OpenAlex
W3212143351
Cited by
365
References
64
FWCI
17.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. https://app.cochat.ai/papers/10.1016/j.ccell.2021.10.009
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Leader, A. M., Grout, J. A., Maier, B. B., Nabet, B. Y., Park, M. D., Tabachnikova, A., Chang, C., Walker, L., Lansky, A., Le Berichel, J., Troncoso, L., Malissen, N., Davila, M., Martin, J. C., Magri, G., Tuballes, K., Zhao, Z., Petralia, F., Samstein, R., . . . Merad, M. (2021). Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. Cancer Cell. https://doi.org/10.1016/j.ccell.2021.10.009

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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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