The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: a potential issue for anti-PD-L1 therapeutic strategies
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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
Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing
Gerlinger, M., Rowan, A. J., Horswell, S., Larkin, J., Endesfelder, D., Gronroos, E., Martinez, P., Matthews, N., Stewart, A., Tarpey, P., et al. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1113205 · Cited by 7,774
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
Taube, J. M., Klein, A., Brahmer, J. R., Xu, H., Pan, X., Kim, J. H., Chen, L., Pardoll, D. M., Topalian, S. L., & Anders, R. A. (2014) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-3271 · Cited by 2,324
PD-L1 expression as a predictive biomarker in cancer immunotherapy
Patel, S. P., & Kurzrock, R. (2015) · Molecular Cancer Therapeutics · doi:10.1158/1535-7163.mct-14-0983 · Cited by 2,291
Taube, J. M., Anders, R. A., Young, G. D., Xu, H., Sharma, R., McMiller, T. L., Chen, S., Klein, A. P., Pardoll, D. M., Topalian, S. L., et al. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003689 · Cited by 2,157
Programmed death ligand-1 expression in non-small cell lung cancer
Velcheti, V., Schalper, K. A., Carvajal, D. E., Anagnostou, V. K., Syrigos, K. N., Sznol, M., Herbst, R. S., Gettinger, S. N., Chen, L., & Rimm, D. L. (2014) · Laboratory Investigation · doi:10.1038/labinvest.2013.130 · Cited by 755
Konishi, J., Yamazaki, K., Azuma, M., Kinoshita, I., Dosaka-Akita, H., & Nishimura, M. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-0428 · Cited by 678
Gatalica, Z., Snyder, C., Maney, T., Ghazalpour, A., Holterman, D. A., Xiao, N., Overberg, P., Rose, I., Basu, G. D., Vranic, S., et al. (2014) · Cancer Epidemiology, Biomarkers & Prevention · doi:10.1158/1055-9965.epi-14-0654 · Cited by 522
Madore, J., Vilain, R. E., Menzies, A. M., Kakavand, H., Wilmott, J. S., Hyman, J., Yearley, J. H., Kefford, R. F., Thompson, J. F., Long, G. V., et al. (2015) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.12340 · Cited by 398
Cited by
PD-L1 as a biomarker of response to immune-checkpoint inhibitors
Doroshow, D. B., Bhalla, S., Beasley, M. B., Sholl, L. M., Kerr, K. M., Gnjatic, S., Wistuba, I. I., Rimm, D. L., Tsao, M. S., & Hirsch, F. R. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00473-5 · Cited by 1,575
Immunotherapy in Lung Cancer: Current Landscape and Future Directions
Mamdani, H., Matosevic, S., Khalid, A. B., Durm, G., & Jalal, S. I. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.823618 · Cited by 359
Mansfield, A. S., Aubry, M. C., Moser, J. C., Harrington, S. M., Dronca, R. S., Park, S. S., & Dong, H. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw289 · Cited by 336
Brody, R., Zhang, Y., Ballas, M., Siddiqui, M. K., Gupta, P., Barker, C., Midha, A., & Walker, J. (2017) · Lung Cancer · doi:10.1016/j.lungcan.2017.08.005 · Cited by 317
Fournel, L., Wu, Z., Stadler, N., Damotte, D., Lococo, F., Boulle, G., Ségal-Bendirdjian, E., Bobbio, A., Icard, P., Trédaniel, J., et al. (2019) · Cancer Letters · doi:10.1016/j.canlet.2019.08.005 · Cited by 249
Metadata
- Authors
- Ilie, M., Long-Mira, E., Bence, C., Butori, C., Lassalle, S., Bouhlel, L., Fazzalari, L., Zahaf, K., Lalvée, S., Washetine, K., Mouroux, J., Vénissac, N., Poudenx, M., Otto, J., Sabourin, J. C., Marquette, C. H., Hofman, V., & Hofman, P.
- Venue
- Annals of Oncology
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 27
- Issue
- 1
- Pages
- 147-153
- ISSN
- 0923-7534 (ISSN-L)
- OpenAlex
- W2181211402
- Cited by
- 587
- References
- 19
- FWCI
- 24.05
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.
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- CoChat. (2026). Citation check: Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: a potential issue for anti-PD-L1 therapeutic strategies. https://app.cochat.ai/papers/10.1093/annonc/mdv489
- The paper
- Ilie, M., Long-Mira, E., Bence, C., Butori, C., Lassalle, S., Bouhlel, L., Fazzalari, L., Zahaf, K., Lalvée, S., Washetine, K., Mouroux, J., Vénissac, N., Poudenx, M., Otto, J., Sabourin, J. C., Marquette, C. H., Hofman, V., & Hofman, P. (2016). Comparative study of the PD-L1 status between surgically resected specimens and matched biopsies of NSCLC patients reveal major discordances: a potential issue for anti-PD-L1 therapeutic strategies. Annals of Oncology. https://doi.org/10.1093/annonc/mdv489
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.
