The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Host expression of PD-L1 determines efficacy of PD-L1 pathway blockade–mediated tumor regression
Open accessAbstract
Programmed death-1 receptor (PD-L1, B7-H1) and programmed cell death protein 1 (PD-1) pathway blockade is a promising therapy for treating cancer. However, the mechanistic contribution of host and tumor PD-L1 and PD-1 signaling to the therapeutic efficacy of PD-L1 and PD-1 blockade remains elusive. Here, we evaluated 3 tumor-bearing mouse models that differ in their sensitivity to PD-L1 blockade and demonstrated a loss of therapeutic efficacy of PD-L1 blockade in immunodeficient mice and in PD-L1- and PD-1-deficient mice. In contrast, neither knockout nor overexpression of PD-L1 in tumor cells had an effect on PD-L1 blockade efficacy. Human and murine studies showed high levels of functional PD-L1 expression in dendritic cells and macrophages in the tumor microenvironments and draining lymph nodes. Additionally, expression of PD-L1 on dendritic cells and macrophages in ovarian cancer and melanoma patients correlated with the efficacy of treatment with either anti-PD-1 alone or in combination with anti-CTLA-4. Thus, PD-L1-expressing dendritic cells and macrophages may mechanistically shape and therapeutically predict clinical efficacy of PD-L1/PD-1 blockade.
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
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447
Combined Nivolumab and Ipilimumab or Monotherapy in Untreated Melanoma
Larkin, J., Chiarion-Sileni, V., Gonzalez, R., Grob, J. J., Cowey, C. L., Lao, C. D., Schadendorf, D., Dummer, R., Smylie, M., Rutkowski, P., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504030 · Cited by 8,157
Self-citationSafety and activity of anti-PD-L1 antibody in patients with advanced cancer
Brahmer, J. R., Tykodi, S. S., Chow, L. Q. M., Hwu, W.-J., Topalian, S. L., Hwu, P., Drake, C. G., Camacho, L. H., Kauh, J., Odunsi, K., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1200694 · Cited by 7,945
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
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
Predictive correlates of response to the anti-PD-L1 antibody MPDL3280A in cancer patients
Herbst, R. S., Soria, J.-C., Kowanetz, M., Fine, G. D., Hamid, O., Gordon, M. S., Sosman, J. A., McDermott, D. F., Powderly, J. D., Gettinger, S. N., et al. (2014) · Nature · doi:10.1038/nature14011 · Cited by 5,231
Self-citationTumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion
Dong, H., Strome, S. E., Salomao, D. R., Tamura, H., Hirano, F., Flies, D. B., Roche, P. C., Lu, J., Zhu, G., Tamada, K., et al. (2002) · Nature Medicine · doi:10.1038/nm730 · Cited by 5,025
Primary Resistance to PD-1 Blockade Mediated by JAK1/2 Mutations
Shin, D. S., Zaretsky, J. M., Escuin-Ordinas, H., Garcia-Diaz, A., Hu-Lieskovan, S., Kalbasi, A., Grasso, C. S., Hugo, W., Sandoval, S., Torrejon, D. Y., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-16-1223 · Cited by 1,337
Blockade of B7-H1 improves myeloid dendritic cell-mediated antitumor immunity
Curiel, T. J., Wei, S., Dong, H., Alvarez, X., Cheng, P., Mottram, P., Krzysiek, R., Knutson, K. L., Daniel, B., Zimmermann, M. C., et al. (2003) · Nature Medicine · doi:10.1038/nm863 · Cited by 1,314
Self-citation
Cited by
Fundamental Mechanisms of Immune Checkpoint Blockade Therapy
Wei, S. C., Duffy, C. R., & Allison, J. P. (2018) · Cancer Discovery · doi:10.1158/2159-8290.cd-18-0367 · Cited by 3,088
Self-citationDiversity, Mechanisms, and Significance of Macrophage Plasticity
Locati, M., Curtale, G., & Mantovani, A. (2020) · Annual Review of Pathology: Mechanisms of Disease · doi:10.1146/annurev-pathmechdis-012418-012718 · Cited by 2,199
Macrophages and metabolism in the tumor microenvironment
Vitale, I., Manic, G., Coussens, L. M., Kroemer, G., & Galluzzi, L. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.06.001 · Cited by 1,837
Hiam-Galvez, K. J., Allen, B. M., & Spitzer, M. H. (2021) · Nature Reviews Cancer · doi:10.1038/s41568-021-00347-z · Cited by 1,400
Clinical implications of T cell exhaustion for cancer immunotherapy
Chow, A., Perica, K., Klebanoff, C. A., & Wolchok, J. D. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00689-z · Cited by 1,044
Metadata
- Authors
- Lin, H., Wei, S., Hurt, E. M., Green, M. D., Zhao, L., Vatan, L., Szeliga, W., Herbst, R., Harms, P. W., Fecher, L. A., Vats, P., Chinnaiyan, A. M., Lao, C. D., Lawrence, T. S., Wicha, M., Hamanishi, J., Mandai, M., Kryczek, I., & Zou, W.
- Venue
- Journal of Clinical Investigation
- Published
- 2018-01-16
- Volume
- 128
- Issue
- 2
- Pages
- 805-815
- ISSN
- 0021-9738 (ISSN-L)
- 1558-8238
- OpenAlex
- W2782998220
- Cited by
- 584
- References
- 12
- FWCI
- 25.45
- 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: Host expression of PD-L1 determines efficacy of PD-L1 pathway blockade–mediated tumor regression. https://app.cochat.ai/papers/10.1172/jci96113
- The paper
- Lin, H., Wei, S., Hurt, E. M., Green, M. D., Zhao, L., Vatan, L., Szeliga, W., Herbst, R., Harms, P. W., Fecher, L. A., Vats, P., Chinnaiyan, A. M., Lao, C. D., Lawrence, T. S., Wicha, M., Hamanishi, J., Mandai, M., Kryczek, I., & Zou, W. (2018). Host expression of PD-L1 determines efficacy of PD-L1 pathway blockade–mediated tumor regression. Journal of Clinical Investigation. https://doi.org/10.1172/jci96113
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.
