The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.
Acquired Resistance to Immune Checkpoint Inhibitors
Open accessAbstract
Immune checkpoint inhibitors (ICI) have rapidly altered the treatment landscape for multiple tumor types, providing unprecedented survival in some patients. Despite the characteristic durability of response to ICI, unfortunately many patients with initial response will later develop acquired resistance. The current understanding of mechanisms of acquired resistance to ICIs is remarkably limited, perhaps restraining effective development of next-generation immunotherapies. Here, we examine the barriers to progress and emerging clinical reports interrogating acquired resistance with the goal to facilitate efforts to overcome acquired resistance to ICIs in the future.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Safety, activity, and immune correlates of anti–PD-1 antibody in cancer
Topalian, S. L., Hodi, F. S., Brahmer, J. R., Gettinger, S. N., Smith, D. C., McDermott, D. F., Powderly, J. D., Carvajal, R. D., Sosman, J. A., Atkins, M. B., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200690 · Cited by 12,628
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
Mutational landscape determines sensitivity to PD-1 blockade in non–small cell lung cancer
Rizvi, N. A., Hellmann, M. D., Snyder, A., Kvistborg, P., Makarov, V., Havel, J. J., Lee, W., Yuan, J., Wong, P., Ho, T. S., et al. (2015) · Science · doi:10.1126/science.aaa1348 · Cited by 7,802
Self-citationMismatch repair deficiency predicts response of solid tumors to PD-1 blockade
Le, D. T., Durham, J. N., Smith, K. N., Wang, H., Bartlett, B. R., Aulakh, L. K., Lu, S., Kemberling, H., Wilt, C., Luber, B. S., et al. (2017) · Science · doi:10.1126/science.aan6733 · Cited by 6,645
PD-1 blockade induces responses by inhibiting adaptive immune resistance
Tumeh, P. C., Harview, C. L., Yearley, J. H., Shintaku, I. P., Taylor, E. J. M., Robert, L., Chmielowski, B., Spasic, M., Henry, G., Ciobanu, V., et al. (2014) · Nature · doi:10.1038/nature13954 · Cited by 6,609 · cited 1×
“PD-L1 expression, tumor mutational burden, tumor infiltrating lymphocytes (TILs) or related gene expression signatures have been explored as potential predictors and various other markers are currently under investigation (Chen et al., 2016; Cristescu et al., 2018; Garon et al., 2015; Hugo et al., 2016; Johnson et al.…”
BackgroundPembrolizumab plus chemotherapy in metastatic non–small-cell lung cancer
Gandhi, L., Rodríguez-Abreu, D., Gadgeel, S., Esteban, E., Felip, E., De Angelis, F., Domine, M., Clingan, P., Hochmair, M. J., Powell, S. F., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1801005 · Cited by 6,607
Herbst, R. S., Baas, P., Kim, D.-W., Felip, E., Pérez-Gracia, J. L., Han, J.-Y., Molina, J., Kim, J.-H., Arvis, C. D., Ahn, M.-J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01281-7 · Cited by 6,449
Pembrolizumab for the Treatment of Non–Small-Cell Lung Cancer
Garon, E. B., Rizvi, N. A., Hui, R., Leighl, N., Balmanoukian, A. S., Eder, J. P., Patnaik, A., Aggarwal, C., Gubens, M., Horn, L., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1501824 · Cited by 6,198
Self-citationNivolumab versus Everolimus in Advanced Renal-Cell Carcinoma
Motzer, R. J., Escudier, B., McDermott, D. F., George, S., Hammers, H. J., Srinivas, S., Tykodi, S. S., Sosman, J. A., Procopio, G., Plimack, E. R., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1510665 · Cited by 5,807
Osimertinib in Untreated EGFR -Mutated Advanced Non–Small-Cell Lung Cancer
Soria, J.-C., Ohe, Y., Vansteenkiste, J., Reungwetwattana, T., Chewaskulyong, B., Lee, K. H., Dechaphunkul, A., Imamura, F., Nogami, N., Kurata, T., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1713137 · Cited by 5,508
Cited by
CD8+ T cell differentiation and dysfunction in cancer
Philip, M., & Schietinger, A. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-021-00574-3 · Cited by 1,052
Tumor immunotherapies by immune checkpoint inhibitors (ICIs); the pros and cons
Naimi, A., Mohammed, R. N., Raji, A., Chupradit, S., Yumashev, A. V., Suksatan, W., Shalaby, M. N., Thangavelu, L., Kamrava, S., Shomali, N., et al. (2022) · Cell Communication and Signaling · doi:10.1186/s12964-022-00854-y · Cited by 507
Myeloid-derived suppressor cells in cancer and cancer therapy
Lasser, S. A., Ozbay Kurt, F. G., Arkhypov, I., Utikal, J., & Umansky, V. (2024) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00846-y · Cited by 489
Resistance Mechanisms to Anti-PD Cancer Immunotherapy
Vesely, M. D., Zhang, T., & Chen, L. (2022) · Annual Review of Immunology · doi:10.1146/annurev-immunol-070621-030155 · Cited by 468
Overcoming resistance to tumor-targeted and immune-targeted therapies
Aldea, M., Andre, F., Marabelle, A., Dogan, S., Barlesi, F., & Soria, J.-C. (2021) · Cancer Discovery · doi:10.1158/2159-8290.cd-20-1638 · Cited by 311
Metadata
- Authors
- Schoenfeld, A. J., & Hellmann, M. D.
- Venue
- Cancer Cell
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 37
- Issue
- 4
- Pages
- 443-455
- ISSN
- 1535-6108 (ISSN-L)
- OpenAlex
- W3015860015
- Cited by
- 955
- References
- 110
- FWCI
- 35.05
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acquired Resistance to Immune Checkpoint Inhibitors. https://app.cochat.ai/papers/10.1016/j.ccell.2020.03.017
- The paper
- Schoenfeld, A. J., & Hellmann, M. D. (2020). Acquired Resistance to Immune Checkpoint Inhibitors. Cancer Cell. https://doi.org/10.1016/j.ccell.2020.03.017
Data sources
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.