The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
PD-L1 Expression Correlates with Tumor-Infiltrating Lymphocytes and Response to Neoadjuvant Chemotherapy in Breast Cancer
Open accessAbstract
Programmed death 1 ligand 1 (PD-L1) is an immune regulatory molecule that limits antitumor immune activity. Targeting of PD-L1 and other immune checkpoint proteins has shown therapeutic activity in various tumor types. The expression of PD-L1 and its correlation with response to neoadjuvant chemotherapy in breast cancer has not been studied extensively. Our goal was to assess PD-L1 expression in a cohort of breast cancer patients treated with neoadjuvant chemotherapy. Pretreatment biopsies from 105 patients with breast cancer from Yale New Haven Hospital that subsequently received neoadjuvant chemotherapy were assessed for PD-L1 protein expression by automated quantitative analysis with a rabbit monoclonal antibody (E1L3N) to the cytoplasmic domain of PD-L1. In addition, tumor-infiltrating lymphocytes (TIL) were assessed on hematoxylin and eosin slides. PD-L1 expression was observed in 30% of patients, and it was positively associated with hormone-receptor–negative and triple-negative status and high levels of TILs. Both TILs and PD-L1 measured in the epithelium or stroma predicted pathologic complete response (pCR) to neoadjuvant chemotherapy in univariate and multivariate analyses. However, because they are strongly associated, TILs and PD-L1 cannot both be included in a significant multivariate model. PD-L1 expression is prevalent in breast cancer, particularly hormone-receptor–negative and triple-negative patients, indicating a subset of patients that may benefit from immune therapy. Furthermore, PD-L1 and TILs correlate with pCR, and high PD-L1 predicts pCR in multivariate analysis. Cancer Immunol Res; 3(4); 326–32. ©2014 AACR.
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
Safety 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
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
Tumor-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
Topalian, S. L., Sznol, M., McDermott, D. F., Kluger, H. M., Carvajal, R. D., Sharfman, W. H., Brahmer, J. R., Lawrence, D. P., Atkins, M. B., Powderly, J. D., et al. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2013.53.0105 · Cited by 2,222
Rastogi, P., Anderson, S. J., Bear, H. D., Geyer, C. E., Kahlenberg, M. S., Robidoux, A., Margolese, R. G., Hoehn, J. L., Vogel, V. G., Dakhil, S. R., et al. (2008) · Journal of Clinical Oncology · doi:10.1200/jco.2007.15.0235 · Cited by 1,789
Hamanishi, J., Mandai, M., Iwasaki, M., Okazaki, T., Tanaka, Y., Yamaguchi, K., Higuchi, T., Yagi, H., Takakura, K., Minato, N., et al. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0611533104 · Cited by 1,378
Blockade of B7-H1 and PD-1 by monoclonal antibodies potentiates cancer therapeutic immunity
Hirano, F., Kaneko, K., Tamura, H., Dong, H., Wang, S., Ichikawa, M., Rietz, C., Flies, D. B., Lau, J. S., Zhu, G., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.1089.65.3 · Cited by 1,018
Cited by
Triple-negative breast cancer: challenges and opportunities of a heterogeneous disease
Bianchini, G., Balko, J. M., Mayer, I. A., Sanders, M. E., & Gianni, L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.66 · Cited by 3,079
The immune contexture and Immunoscore in cancer prognosis and therapeutic efficacy
Bruni, D., Angell, H. K., & Galon, J. (2020) · Nature reviews. Cancer · doi:10.1038/s41568-020-0285-7 · Cited by 1,586
Pembrolizumab in Patients With Advanced Triple-Negative Breast Cancer: Phase Ib KEYNOTE-012 Study
Nanda, R., Chow, L. Q. M., Dees, E. C., Berger, R., Gupta, S., Geva, R., Pusztai, L., Pathiraja, K., Aktan, G., Cheng, J. D., et al. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.64.8931 · Cited by 1,477
Self-citationThe updated landscape of tumor microenvironment and drug repurposing
Jin, M.-Z., & Jin, W.-L. (2020) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00280-x · Cited by 1,262
Gao, J., Ward, J. F., Pettaway, C. A., Shi, L. Z., Subudhi, S. K., Vence, L. M., Zhao, H., Chen, J., Chen, H., Efstathiou, E., et al. (2017) · Nature Medicine · doi:10.1038/nm.4308 · Cited by 594
Loi, S., Dushyanthen, S., Beavis, P. A., Salgado, R., Denkert, C., Savas, P., Combs, S., Rimm, D. L., Giltnane, J. M., Estrada, M. V., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1125 · Cited by 536
Self-citationKoirala, P., Roth, M. E., Gill, J., Piperdi, S., Chinai, J. M., Geller, D. S., Hoang, B. H., Park, A., Fremed, M. A., Zang, X., et al. (2016) · Scientific Reports · doi:10.1038/srep30093 · Cited by 267
HDAC inhibition potentiates immunotherapy in triple negative breast cancer
Terranova-Barberio, M., Thomas, S., Ali, N., Pawlowska, N., Park, J., Krings, G., Rosenblum, M. D., Budillon, A., & Munster, P. N. (2017) · Oncotarget · doi:10.18632/oncotarget.23169 · Cited by 182
Sha, L., Osinski, B. L., Ho, I. Y., Tan, T. L., Willis, C., Weiss, H., Beaubier, N., Mahon, B. M., Taxter, T. J., & Yip, S. S. F. (2019) · Journal of Pathology Informatics · doi:10.4103/jpi.jpi_24_19 · Cited by 130
Product review: Avelumab, an anti-PD-L1 antibody
Collins, J. M., & Gulley, J. L. (2019) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2018.1551671 · Cited by 91
Wang, X., Barrera, C., Bera, K., Viswanathan, V. S., Azarianpour-Esfahani, S., Koyuncu, C., Velu, P., Feldman, M. D., Yang, M., Fu, P., et al. (2022) · Science Advances · doi:10.1126/sciadv.abn3966 · Cited by 89
Self-citationThagaard, J., Stovgaard, E. S., Vognsen, L. G., Hauberg, S., Dahl, A., Ebstrup, T., Doré, J., Vincentz, R. E., Jepsen, R. K., Roslind, A., et al. (2021) · Cancers · doi:10.3390/cancers13123050 · Cited by 50
Metadata
- Authors
- Wimberly, H., Brown, J. R., Schalper, K., Haack, H., Silver, M. R., Nixon, C., Bossuyt, V., Pusztai, L., Lannin, D. R., & Rimm, D. L.
- Venue
- Cancer Immunology Research
- Published
- 2015-04-01
- Volume
- 3
- Issue
- 4
- Pages
- 326-332
- ISSN
- 2326-6066 (ISSN-L)
- 2326-6074
- OpenAlex
- W2111225997
- Cited by
- 397
- References
- 8
- FWCI
- 13.93
- 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
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.
