The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of PD-L1 expression
Open accessAbstract
Only a minority of patients derive long-term clinical benefit from anti-programmed cell death protein 1 (anti-PD-1) or anti-programmed death-ligand 1 (anti-PD-L1) monoclonal antibodies. The presence of tertiary lymphoid structures (TLSs) has been associated with improved survival in several tumor types. Here, using a large-scale retrospective analysis of three independent cohorts of patients with cancer who were treated with anti-PD-1 or anti-PD-L1 antibodies, we show that the presence of mature TLSs was associated with improved objective response rates, progression-free survival and overall survival, independent of PD-L1 expression status and CD8+ T cell density. These results pave the way for using TLS detection to select patients who are more likely to benefit from immune checkpoint blockade. Italiano and colleagues demonstrate the utility of mature tertiary lymphoid structures to predict response to immunotherapy, with pathologic analysis in three independent patient cohorts spanning multiple tumor types.
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Cites
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
B cells and tertiary lymphoid structures promote immunotherapy response
Helmink, B. A., Reddy, S. M., Gao, J., Zhang, S., Basar, R., Thakur, R., Yizhak, K., Sade-Feldman, M., Blando, J., Han, G., et al. (2020) · Nature · doi:10.1038/s41586-019-1922-8 · Cited by 2,731
Self-citationTertiary lymphoid structures improve immunotherapy and survival in melanoma
Cabrita, R., Lauss, M., Sanna, A., Donia, M., Skaarup Larsen, M., Mitra, S., Johansson, I., Phung, B., Harbst, K., Vallon-Christersson, J., et al. (2020) · Nature · doi:10.1038/s41586-019-1914-8 · Cited by 2,374
B cells are associated with survival and immunotherapy response in sarcoma
Petitprez, F., de Reyniès, A., Keung, E. Z., Chen, T. W.-W., Sun, C.-M., Calderaro, J., Jeng, Y.-M., Hsiao, L.-P., Lacroix, L., Bougoüin, A., et al. (2020) · Nature · doi:10.1038/s41586-019-1906-8 · Cited by 1,942
Self-citationRECIST 1.1—Update and clarification: From the RECIST committee
Schwartz, L. H., Litière, S., de Vries, E., Ford, R., Gwyther, S., Mandrekar, S., Shankar, L., Bogaerts, J., Chen, A., Dancey, J., et al. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.03.081 · Cited by 1,906
Tertiary lymphoid structures in the era of cancer immunotherapy
Sautès-Fridman, C., Petitprez, F., Calderaro, J., & Fridman, W. H. (2019) · Nature reviews. Cancer · doi:10.1038/s41568-019-0144-6 · Cited by 1,884
Balar, A. V., Castellano, D., O'Donnell, P. H., Grivas, P., Vuky, J., Powles, T., Plimack, E. R., Hahn, N. M., de Wit, R., Pang, L., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30616-2 · Cited by 1,333
Vaddepally, R. K., Kharel, P., Pandey, R., Garje, R., & Chandra, A. B. (2020) · Cancers · doi:10.3390/cancers12030738 · Cited by 1,196
Davis, A. A., & Patel, V. G. (2019) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-019-0768-9 · Cited by 960
Germain, C., Gnjatic, S., Tamzalit, F., Knockaert, S., Remark, R., Goc, J., Lepelley, A., Becht, E., Katsahian, S., Bizouard, G., et al. (2014) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201309-1611oc · Cited by 833
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Meylan, M., Petitprez, F., Becht, E., Bougoüin, A., Pupier, G., Calvez, A., Giglioli, I., Verkarre, V., Lacroix, G., Verneau, J., et al. (2022) · Immunity · doi:10.1016/j.immuni.2022.02.001 · Cited by 831
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Park, M. D., Reyes-Torres, I., LeBerichel, J., Hamon, P., LaMarche, N. M., Hegde, S., Belabed, M., Troncoso, L., Grout, J. A., Magen, A., et al. (2023) · Nature Immunology · doi:10.1038/s41590-023-01475-4 · Cited by 251
Biomarkers for immunotherapy of hepatocellular carcinoma
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Exploiting the therapeutic implications of KRAS inhibition on tumor immunity
Molina-Arcas, M., & Downward, J. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.02.012 · Cited by 152
Enfield, K. S. S., Colliver, E., Lee, C., Magness, A., Moore, D. A., Sivakumar, M., Grigoriadis, K., Pich, O., Karasaki, T., Hobson, P. S., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-23-1380 · Cited by 151
Metadata
- Authors
- Vanhersecke, L., Brunet, M., Guégan, J.-P., Rey, C., Bougouin, A., Cousin, S., Le Moulec, S., Besse, B., Loriot, Y., Larroquette, M., Soubeyran, I., Toulmonde, M., Roubaud, G., Pernot, S., Cabart, M., Chomy, F., Lefevre, C., Bourcier, K., Kind, M., Giglioli, I., Sautès-Fridman, C., Velasco, V., Courgeon, F., Oflazoglu, E., Savina, A., Marabelle, A., Soria, J.-C., Bellera, C., Sofeu, C., Bessede, A., Fridman, W. H., Le Loarer, F., & Italiano, A.
- Venue
- Nature Cancer
- Published
- 2021-08-12
- Volume
- 2
- Issue
- 8
- Pages
- 794-802
- ISSN
- 2662-1347 (ISSN-L)
- OpenAlex
- W3187890850
- Cited by
- 632
- References
- 26
- FWCI
- 26.58
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of PD-L1 expression. https://app.cochat.ai/papers/10.1038/s43018-021-00232-6
- The paper
- Vanhersecke, L., Brunet, M., Guégan, J.-P., Rey, C., Bougouin, A., Cousin, S., Le Moulec, S., Besse, B., Loriot, Y., Larroquette, M., Soubeyran, I., Toulmonde, M., Roubaud, G., Pernot, S., Cabart, M., Chomy, F., Lefevre, C., Bourcier, K., Kind, M., . . . Italiano, A. (2021). Mature tertiary lymphoid structures predict immune checkpoint inhibitor efficacy in solid tumors independently of PD-L1 expression. Nature Cancer. https://doi.org/10.1038/s43018-021-00232-6
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
