The DOI matches its Crossref record; 281 of the 281 references it cites were found in a registry or an index.
Immunostimulation with chemotherapy in the era of immune checkpoint inhibitors
Abstract
Conventional chemotherapeutics have been developed into clinically useful agents based on their ability to preferentially kill malignant cells, generally owing to their elevated proliferation rate. Nonetheless, the clinical activity of various chemotherapies is now known to involve the stimulation of anticancer immunity either by initiating the release of immunostimulatory molecules from dying cancer cells or by mediating off-target effects on immune cell populations. Understanding the precise immunological mechanisms that underlie the efficacy of chemotherapy has the potential not only to enable the identification of superior biomarkers of response but also to accelerate the development of synergistic combination regimens that enhance the clinical effectiveness of immune checkpoint inhibitors (ICIs) relative to their effectiveness as monotherapies. Indeed, accumulating evidence supports the clinical value of combining appropriately dosed chemotherapies with ICIs. In this Review, we discuss preclinical and clinical data on the immunostimulatory effects of conventional chemotherapeutics in the context of ICI-based immunotherapy.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Immunogenic cell death is featured with some upregulated damage-associated molecular patterns (DAMPs) such as the secretion of IFN-I, the exposure of endoplasmic reticulum proteins especially calreticulin (CRT, an eat-me signal) on cell membrane, the leak of ATP (a find-me signal), and the release of high-mobility group box 1 (HMGB1) [35].”
From Combination strategies with PD-1/PD-L1 blockade: current advances and future directions (2022) · cites this paper as [35]
Citations
Cites
1 retracted
RETRACTED ARTICLE: Parkin and PINK1 mitigate STING-induced inflammation
Sliter, D. A., Martinez, J., Hao, L., Chen, X., Sun, N., Fischer, T. D., Burman, J. L., Li, Y., Zhang, Z., Narendra, D. P., et al. (2018) · Nature · doi:10.1038/s41586-018-0448-9 · Cited by 1,287
RetractedHallmarks of Cancer: The Next Generation
Hanahan, D., & Weinberg, R. A. (2011) · Cell · doi:10.1016/j.cell.2011.02.013 · Cited by 66,590
Hanahan, D., & Weinberg, R. A. (2000) · Cell · doi:10.1016/s0092-8674(00)81683-9 · Cited by 29,219
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
Cancer Immunoediting: Integrating Immunity’s Roles in Cancer Suppression and Promotion
Schreiber, R. D., Old, L. J., & Smyth, M. J. (2011) · Science · doi:10.1126/science.1203486 · Cited by 6,474
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
Gut microbiome influences efficacy of PD-1-based immunotherapy against epithelial tumors
Routy, B., Le Chatelier, E., Derosa, L., Duong, C. P. M., Alou, M. T., Daillère, R., Fluckiger, A., Messaoudene, M., Rauber, C., Roberti, M. P., et al. (2018) · Science · doi:10.1126/science.aan3706 · Cited by 5,671
Self-citationGut microbiome modulates response to anti-PD-1 immunotherapy in melanoma patients
Gopalakrishnan, V., Spencer, C. N., Nezi, L., Reuben, A., Andrews, M. C., Karpinets, T. V., Prieto, P. A., Vicente, D., Hoffman, K., Wei, S. C., et al. (2018) · Science · doi:10.1126/science.aan4236 · Cited by 4,812
Self-citationDurvalumab after chemoradiotherapy in stage III non–small-cell lung cancer
Antonia, S. J., Villegas, A., Daniel, D., Vicente, D., Murakami, S., Hui, R., Yokoi, T., Chiappori, A., Lee, K. H., de Wit, M., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1709937 · Cited by 4,593
Atezolizumab and nab-paclitaxel in advanced triple-negative breast cancer
Schmid, P., Adams, S., Rugo, H. S., Schneeweiss, A., Barrios, C. H., Iwata, H., Diéras, V., Hegg, R., Im, S.-A., Shaw Wright, G., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1809615 · Cited by 4,350
Cited by
Sorted by citations
Autophagy in major human diseases
Klionsky, D. J., Petroni, G., Amaravadi, R. K., Baehrecke, E. H., Ballabio, A., Boya, P., Bravo‐San Pedro, J. M., Cadwell, K., Cecconi, F., Choi, A. M. K., et al. (2021) · The EMBO Journal · doi:10.15252/embj.2021108863 · Cited by 1,585
Self-citationCombination strategies with PD-1/PD-L1 blockade: current advances and future directions
Yi, M., Zheng, X., Niu, M., Zhu, S., Ge, H., & Wu, K. (2022) · Molecular Cancer · doi:10.1186/s12943-021-01489-2 · Cited by 1,445
Rational combinations of targeted cancer therapies: background, advances and challenges
Jin, H., Wang, L., & Bernards, R. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00615-z · Cited by 503
Optimizing the safety of antibody–drug conjugates for patients with solid tumours
Tarantino, P., Ricciuti, B., Pradhan, S. M., & Tolaney, S. M. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-023-00783-w · Cited by 269
Immune checkpoint inhibitor–associated myocarditis: manifestations and mechanisms
Moslehi, J., Lichtman, A. H., Sharpe, A. H., Galluzzi, L., & Kitsis, R. N. (2021) · Journal of Clinical Investigation · doi:10.1172/jci145186 · Cited by 237
Self-citationImmunomodulation by targeted anticancer agents
Petroni, G., Buqué, A., Zitvogel, L., Kroemer, G., & Galluzzi, L. (2021) · Cancer Cell · doi:10.1016/j.ccell.2020.11.009 · Cited by 212
Self-citationPresent and Future Perspective on PLK1 Inhibition in Cancer Treatment
Chiappa, M., Petrella, S., Damia, G., Broggini, M., Guffanti, F., & Ricci, F. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.903016 · Cited by 120
Terrisse, S., Goubet, A.-G., Ueda, K., Thomas, A. M., Quiniou, V., Thelemaque, C., Dunsmore, G., Clave, E., Gamat-Huber, M., Yonekura, S., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004191 · Cited by 80
Self-citationNam, G.-H., Kwon, M., Jung, H., Ko, E., Kim, S. A., Choi, Y., Song, S. J., Kim, S., Lee, Y., Kim, G. B., et al. (2021) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-002474 · Cited by 82
Li, Y., Xu, C., Wang, B., Xu, F., Ma, F., Qu, Y., Jiang, D., Li, K., Feng, J., Tian, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-33282-0 · Cited by 80
Jiang, C., Zhang, L., Xu, X., Qi, M., Zhang, J., He, S., Tian, Q., & Song, S. (2021) · Advanced Science · doi:10.1002/advs.202102500 · Cited by 77
Combination Therapies for the Optimisation of Bispecific T-Cell Engagers in Cancer Treatment
Zhu, W. M., & Middleton, M. R. (2023) · Immunotherapy Advances · doi:10.1093/immadv/ltad013 · Cited by 46
Cross-reactivity between microbial and tumor antigens
Zitvogel, L., & Kroemer, G. (2022) · Current Opinion in Immunology · doi:10.1016/j.coi.2022.102171 · Cited by 40
Self-citationScience-Driven Nutritional Interventions for the Prevention and Treatment of Cancer
Montégut, L., de Cabo, R., Zitvogel, L., & Kroemer, G. (2022) · Cancer Discovery · doi:10.1158/2159-8290.cd-22-0504 · Cited by 38
Self-citation
Metadata
- Authors
- Galluzzi, L., Humeau, J., Buqué, A., Zitvogel, L., & Kroemer, G.
- Affiliations
- Université Paris Cité (FR)
- Université Paris-Sud (FR)
- Weill Cornell Medicine (US)
- Karolinska University Hospital (SE)
- Corresponding author
- Galluzzi, Lorenzo
- Kroemer, Guido
- Venue
- Nature Reviews Clinical Oncology
- Published
- 2020-08-05
- Volume
- 17
- Issue
- 12
- Pages
- 725-741
- ISSN
- 1759-4774 (ISSN-L)
- 1759-4782
- OpenAlex
- W3047618013
- Cited by
- 1,349
- References
- 281
- Citations by year
- 2026: 150 · 2025: 232 · 2024: 269 · 2023: 282 · 2022: 272 · 2021: 127 · 2020: 17
- FWCI
- 18.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Nature Reviews Clinical Oncology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Agence Nationale de la Recherche (ANR-16-ECVD-0008)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Ferroptosis and cancer prognosis
- Keywords
- chemotherapy, immune checkpoint inhibitors, immunostimulation, cancer immunotherapy, combination therapy, immunogenic cell death, synergy mechanism, treatment response biomarkers
- MeSH terms
- Antineoplastic Agents, Immunological, Immune Checkpoint Inhibitors, Humans, Immunity, Immunization, Immunotherapy, Neoplasms
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