The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Evaluation of dosing strategy for pembrolizumab for oncology indications
Open accessAbstract
BACKGROUND: Traditionally, most monoclonal antibodies (mAbs) have been dosed based on body weight because of perceived contribution of body size in pharmacokinetic variability. The same approach was used in the initial pembrolizumab studies; however, following availability of PK data, the need for weight-based dosing for pembrolizumab was reassessed. METHODS: A previously established population PK (popPK) model as well as exposure-response results from patients with advanced melanoma or non-small cell lung cancer (NSCLC) were used to evaluate the potential application of a fixed dosing regimen with the aim of maintaining pembrolizumab exposures within the range demonstrated to provide near maximal efficacy and acceptable safety. Individual PK exposures for the selected fixed dosing regimen from recently completed trials with head and neck cancer, NSCLC, microsatellite instability high (MSI-H) in colorectal cancer (CRC) and urothelial cancer were used to confirm acceptability. To determine whether fixed dosing would maintain exposures within the range of clinical experience, the individual AUC distributions with fixed dosing were compared with the range of exposures from the pembrolizumab doses that were evaluated in early studies (2 mg/kg Q3W, 10 mg/kg Q3W/Q2W). RESULTS: was 1.87 (37%, 830), 1.38 (38%, 760) and 7.63 (35%, 1405) mg*day/mL in patients receiving 200 mg, 2 mg/kg and 10 mg/kg Q3W pembrolizumab. High-weight patients had the lowest exposures with 200 mg Q3W; however, exposures in this group (>90 kg) were within the range of prior clinical experience at 2 mg/kg Q3W associated with near maximal efficacy. CONCLUSIONS: Doses of 200 mg and 2 mg/kg provide similar exposure distributions with no advantage to either dosing approach with respect to controlling PK variability. These findings suggest that weight-based and fixed-dose regimens are appropriate for pembrolizumab.
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
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
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
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
Pembrolizumab versus Ipilimumab in Advanced Melanoma
Robert, C., Schachter, J., Long, G. V., Arance, A., Grob, J. J., Mortier, L., Daud, A., Carlino, M. S., McNeil, C., Lotem, M., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1503093 · Cited by 5,887
Seiwert, T. Y., Burtness, B., Mehra, R., Weiss, J., Berger, R., Eder, J. P., Heath, K., McClanahan, T., Lunceford, J., Gause, C., et al. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30066-3 · Cited by 1,745
Ribas, A., Puzanov, I., Dummer, R., Schadendorf, D., Hamid, O., Robert, C., Hodi, F. S., Schachter, J., Pavlick, A. C., Lewis, K. D., et al. (2015) · The Lancet Oncology · doi:10.1016/s1470-2045(15)00083-2 · Cited by 1,572
Association of Pembrolizumab With Tumor Response and Survival Among Patients With Advanced Melanoma
Ribas, A., Hamid, O., Daud, A., Hodi, F. S., Wolchok, J. D., Kefford, R., Joshua, A. M., Patnaik, A., Hwu, W.-J., Weber, J. S., et al. (2016) · JAMA · doi:10.1001/jama.2016.4059 · Cited by 1,069
Chow, L. Q. M., Haddad, R., Gupta, S., Mahipal, A., Mehra, R., Tahara, M., Berger, R., Eder, J. P., Burtness, B., Lee, S.-H., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2016.68.1478 · Cited by 857
Cited by
Geoerger, B., Kang, H. J., Yalon-Oren, M., Marshall, L. V., Vezina, C., Pappo, A., Laetsch, T. W., Petrilli, A. S., Ebinger, M., Toporski, J., et al. (2020) · The Lancet Oncology · doi:10.1016/s1470-2045(19)30671-0 · Cited by 357
Clinical Pharmacokinetics and Pharmacodynamics of Immune Checkpoint Inhibitors
Centanni, M., Moes, D. J. A. R., Trocóniz, I. F., Ciccolini, J., & van Hasselt, J. G. C. (2019) · Clinical Pharmacokinetics · doi:10.1007/s40262-019-00748-2 · Cited by 355
European consensus-based interdisciplinary guideline for melanoma. Part 2: Treatment - Update 2022
Garbe, C., Amaral, T., Peris, K., Hauschild, A., Arenberger, P., Basset-Seguin, N., Bastholt, L., Bataille, V., del Marmol, V., Dréno, B., et al. (2022) · European Journal of Cancer · doi:10.1016/j.ejca.2022.04.018 · Cited by 283
Herbst, R. S., Garon, E. B., Kim, D.-W., Cho, B. C., Perez-Gracia, J. L., Han, J.-Y., Arvis, C. D., Majem, M., Forster, M. D., Monnet, I., et al. (2020) · Journal of Clinical Oncology · doi:10.1200/jco.19.02446 · Cited by 281
Fixed Dosing of Monoclonal Antibodies in Oncology
Hendrikx, J. J. M. A., Haanen, J. B. A. G., Voest, E. E., Schellens, J. H. M., Huitema, A. D. R., & Beijnen, J. H. (2017) · The Oncologist · doi:10.1634/theoncologist.2017-0167 · Cited by 168
Metadata
- Authors
- Freshwater, T., Kondic, A., Ahamadi, M., Li, C. H., de Greef, R., de Alwis, D., & Stone, J. A.
- Venue
- Journal for ImmunoTherapy of Cancer
- Publisher
- BMJ
- Published
- 2017-05-16
- Volume
- 5
- Issue
- 1
- Pages
- 43-43
- ISSN
- 2051-1426 (ISSN-L)
- OpenAlex
- W2612703804
- Cited by
- 267
- References
- 23
- FWCI
- 10.66
- Type
- journal article
- Language
- en
- Open access
- gold
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: Evaluation of dosing strategy for pembrolizumab for oncology indications. https://app.cochat.ai/papers/10.1186/s40425-017-0242-5
- The paper
- Freshwater, T., Kondic, A., Ahamadi, M., Li, C. H., de Greef, R., de Alwis, D., & Stone, J. A. (2017). Evaluation of dosing strategy for pembrolizumab for oncology indications. Journal for ImmunoTherapy of Cancer. https://doi.org/10.1186/s40425-017-0242-5
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.