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Cited by 566

The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.

Cancer immunotherapy: Opportunities and challenges in the rapidly evolving clinical landscape

Emens, Leisha A., Ascierto, Paolo A., Darcy, Phillip K., Demaria, Sandra, Eggermont, Alexander M.M., Redmond, William L., Seliger, Barbara, Marincola, Francesco M.·2017·European Journal of Cancer
DOI 10.1016/j.ejca.2017.01.035
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Abstract

Cancer immunotherapy is now established as a powerful way to treat cancer. The recent clinical success of immune checkpoint blockade (antagonists of CTLA-4, PD-1 and PD-L1) highlights both the universal power of treating the immune system across tumour types and the unique features of cancer immunotherapy. Immune-related adverse events, atypical clinical response patterns, durable responses, and clear overall survival benefit distinguish cancer immunotherapy from cytotoxic cancer therapy. Combination immunotherapies that transform non-responders to responders are under rapid development. Current challenges facing the field include incorporating immunotherapy into adjuvant and neoadjuvant cancer therapy, refining dose, schedule and duration of treatment and developing novel surrogate endpoints that accurately capture overall survival benefit early in treatment. As the field rapidly evolves, we must prioritise the development of biomarkers to guide the use of immunotherapies in the most appropriate patients. Immunotherapy is already transforming cancer from a death sentence to a chronic disease for some patients. By making smart, evidence-based decisions in developing next generation immunotherapies, cancer should become an imminently treatable, curable and even preventable disease.

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Metadata

Authors
Emens, L. A., Ascierto, P. A., Darcy, P. K., Demaria, S., Eggermont, A. M. M., Redmond, W. L., Seliger, B., & Marincola, F. M.
Venue
European Journal of Cancer
Publisher
Elsevier BV
Published
2017-08
Volume
81
Pages
116-129
ISSN
0959-8049 (ISSN-L)
DOI
10.1016/j.ejca.2017.01.035
OpenAlex
W2625574648
Cited by
566
References
131
FWCI
22.19
Type
journal article
Language
en
Open access
closed

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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.