The DOI matches its Crossref record; 199 of the 199 references it cites were found in a registry or an index.
Role of the dynamic tumor microenvironment in controversies regarding immune checkpoint inhibitors for the treatment of non-small cell lung cancer (NSCLC) with EGFR mutations
Open accessAbstract
Immunotherapy has been incorporated into the first- and second-line treatment strategies for non-small cell lung cancer (NSCLC), profoundly ushering in a new treatment landscape. However, both adaptive signaling and oncogenic (epidermal growth factor receptor (EGFR)-driven) signaling may induce PD-L1 upregulation in NSCLC. Nevertheless, the superiority of immune checkpoint inhibitors (ICIs) in advanced EGFR-mutant NSCLC is only moderate. ICIs appear to be well tolerated, but clinical activity for some advanced EGFR-mutant NSCLC patients has only been observed in a small proportion of trials. Hence, there are still several open questions about PD-L1 axis inhibitors in patients with NSCLC whose tumors harbor EGFR mutations, such as the effect of EGFR tyrosine kinase inhibitors (TKIs) or EGFR mutations in the tumor microenvironment (TME). Finding the answers to these questions requires ongoing trials and preclinical studies to identify the mechanisms explaining this possible increased susceptibility and to identify prognostic molecular and clinical markers that may predict benefits with PD-1 axis inhibition in this specific NSCLC subpopulation. The presence of multiple mechanisms, including dynamic immune TME profiles, changes in PD-L1 expression and low tumor mutational burdens, may explain the conflicting data regarding the correlation between PD-L1 axis inhibitors and EGFR mutation status. We conducted a review of this currently controversial topic in an attempt to aid in the decision-making process.
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Bray, F., Ferlay, J., Soerjomataram, I., Siegel, R. L., Torre, L. A., & Jemal, A. (2018) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21492 · Cited by 84,109
Jemal, A., Bray, F., Center, M. M., Ferlay, J., Ward, E., & Forman, D. (2011) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20107 · Cited by 54,679
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F.-A., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E.-M., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,845
Global cancer statistics, 2012
Torre, L. A., Bray, F., Siegel, R. L., Ferlay, J., Lortet‐Tieulent, J., & Jemal, A. (2015) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21262 · Cited by 26,850
Siegel, R. L., Miller, K. D., & Jemal, A. (2016) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.21332 · Cited by 16,003
Adverse Renal Effects of Immune Checkpoint Inhibitors: A Narrative Review
Wanchoo, R., Karam, S., Uppal, N. N., Barta, V. S., Deray, G., Devoe, C., Launay-Vacher, V., Jhaveri, K. D., & on behalf of Cancer and Kidney International Network Workgroup on Immune Checkpoint Inhibitors (2017) · American Journal of Nephrology · doi:10.1159/000455014 · Cited by 15,256
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Microenvironmental regulation of tumor progression and metastasis
Quail, D. F., & Joyce, J. A. (2013) · Nature Medicine · doi:10.1038/nm.3394 · Cited by 7,994
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Self-citationPyruvate kinase M2 (PKM2) in cancer and cancer therapeutics
Zhu, S., Guo, Y., Zhang, X., Liu, H., Yin, M., Chen, X., & Peng, C. (2021) · Cancer Letters · doi:10.1016/j.canlet.2020.11.018 · Cited by 266
Immune Checkpoint Inhibitors in EGFR-Mutated NSCLC: Dusk or Dawn?
Qiao, M., Jiang, T., Liu, X., Mao, S., Zhou, F., Li, X., Zhao, C., Chen, X., Su, C., Ren, S., et al. (2021) · Journal of Thoracic Oncology · doi:10.1016/j.jtho.2021.04.003 · Cited by 186
Immunological classification of tumor types and advances in precision combination immunotherapy
Ren, X., Guo, S., Guan, X., Kang, Y., Liu, J., & Yang, X. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.790113 · Cited by 62
Li, M., Lin, A., Luo, P., Shen, W., Xiao, D., Gou, L., Zhang, J., & Guo, L. (2020) · Aging · doi:10.18632/aging.102683 · Cited by 62
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Metadata
- Authors
- Lin, A., Wei, T., Meng, H., Luo, P., & Zhang, J.
- Venue
- Molecular Cancer
- Published
- 2019-09-16
- Volume
- 18
- Issue
- 1
- Pages
- 139-139
- ISSN
- 1476-4598 (ISSN-L)
- OpenAlex
- W2972582992
- Cited by
- 264
- References
- 199
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- gold
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- CoChat. (2026). Citation check: Role of the dynamic tumor microenvironment in controversies regarding immune checkpoint inhibitors for the treatment of non-small cell lung cancer (NSCLC) with EGFR mutations. https://app.cochat.ai/papers/10.1186/s12943-019-1062-7
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- Lin, A., Wei, T., Meng, H., Luo, P., & Zhang, J. (2019). Role of the dynamic tumor microenvironment in controversies regarding immune checkpoint inhibitors for the treatment of non-small cell lung cancer (NSCLC) with EGFR mutations. Molecular Cancer. https://doi.org/10.1186/s12943-019-1062-7
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
