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Cited by 685

The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.

Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing

Open access
Maynard, Ashley, McCoach, Caroline E., Rotow, Julia K., Harris, Lincoln, Haderk, Franziska, Kerr, D. Lucas, Yu, Elizabeth A., Schenk, Erin L., Tan, Weilun, Zee, Alexander, Tan, Michelle, Gui, Philippe, Lea, Tasha, Wu, Wei, Urisman, Anatoly, Jones, Kirk, Sit, Rene, Kolli, Pallav K., Seeley, Eric, Gesthalter, Yaron, Le, Daniel D., Yamauchi, Kevin A., Naeger, David M., Bandyopadhyay, Sourav, Shah, Khyati, Cech, Lauren, Thomas, Nicholas J., Gupta, Anshal, Gonzalez, Mayra, Do, Hien, Tan, Lisa, Bacaltos, Bianca, Gomez-Sjoberg, Rafael, Gubens, Matthew, Jahan, Thierry, Kratz, Johannes R., Jablons, David, Neff, Norma, Doebele, Robert C., Weissman, Jonathan, Blakely, Collin M., Darmanis, Spyros, Bivona, Trever G.·2020·Cell

Abstract

Lung cancer, the leading cause of cancer mortality, exhibits heterogeneity that enables adaptability, limits therapeutic success, and remains incompletely understood. Single-cell RNA sequencing (scRNA-seq) of metastatic lung cancer was performed using 49 clinical biopsies obtained from 30 patients before and during targeted therapy. Over 20,000 cancer and tumor microenvironment (TME) single-cell profiles exposed a rich and dynamic tumor ecosystem. scRNA-seq of cancer cells illuminated targetable oncogenes beyond those detected clinically. Cancer cells surviving therapy as residual disease (RD) expressed an alveolar-regenerative cell signature suggesting a therapy-induced primitive cell-state transition, whereas those present at on-therapy progressive disease (PD) upregulated kynurenine, plasminogen, and gap-junction pathways. Active T-lymphocytes and decreased macrophages were present at RD and immunosuppressive cell states characterized PD. Biological features revealed by scRNA-seq were biomarkers of clinical outcomes in independent cohorts. This study highlights how therapy-induced adaptation of the multi-cellular ecosystem of metastatic cancer shapes clinical outcomes.

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Metadata

Authors
Maynard, A., McCoach, C. E., Rotow, J. K., Harris, L., Haderk, F., Kerr, D. L., Yu, E. A., Schenk, E. L., Tan, W., Zee, A., Tan, M., Gui, P., Lea, T., Wu, W., Urisman, A., Jones, K., Sit, R., Kolli, P. K., Seeley, E., Gesthalter, Y., Le, D. D., Yamauchi, K. A., Naeger, D. M., Bandyopadhyay, S., Shah, K., Cech, L., Thomas, N. J., Gupta, A., Gonzalez, M., Do, H., Tan, L., Bacaltos, B., Gomez-Sjoberg, R., Gubens, M., Jahan, T., Kratz, J. R., Jablons, D., Neff, N., Doebele, R. C., Weissman, J., Blakely, C. M., Darmanis, S., & Bivona, T. G.
Venue
Cell
Publisher
Elsevier BV
Published
2020-09
Volume
182
Issue
5
Pages
1232-1251.e22
ISSN
0092-8674 (ISSN-L)
OpenAlex
W3078555423
Cited by
685
References
155
FWCI
24.69
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing. https://app.cochat.ai/papers/10.1016/j.cell.2020.07.017
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Maynard, A., McCoach, C. E., Rotow, J. K., Harris, L., Haderk, F., Kerr, D. L., Yu, E. A., Schenk, E. L., Tan, W., Zee, A., Tan, M., Gui, P., Lea, T., Wu, W., Urisman, A., Jones, K., Sit, R., Kolli, P. K., Seeley, E., . . . Bivona, T. G. (2020). Therapy-Induced Evolution of Human Lung Cancer Revealed by Single-Cell RNA Sequencing. Cell. https://doi.org/10.1016/j.cell.2020.07.017

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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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