The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Ipilimumab in Combination With Paclitaxel and Carboplatin As First-Line Treatment in Stage IIIB/IV Non–Small-Cell Lung Cancer: Results From a Randomized, Double-Blind, Multicenter Phase II Study
Abstract
Purpose: Ipilimumab, which is an anti–cytotoxic T-cell lymphocyte-4 monoclonal antibody, showed a survival benefit in melanoma with adverse events (AEs) managed by protocol-defined guidelines. A phase II study in lung cancer assessed the activity of ipilimumab plus paclitaxel and carboplatin. Patients and Methods: Patients (N = 204) with chemotherapy-naive non–small-cell lung cancer (NSCLC) were randomly assigned 1:1:1 to receive paclitaxel (175 mg/m 2) and carboplatin (area under the curve, 6) with either placebo (control) or ipilimumab in one of the following two regimens: concurrent ipilimumab (four doses of ipilimumab plus paclitaxel and carboplatin followed by two doses of placebo plus paclitaxel and carboplatin) or phased ipilimumab (two doses of placebo plus paclitaxel and carboplatin followed by four doses of ipilimumab plus paclitaxel and carboplatin).Treatment was administered intravenously every 3 weeks for ≤ 18 weeks (induction). Eligible patients continued ipilimumab or placebo every 12 weeks as maintenance therapy. Response was assessed by using immune-related response criteria and modified WHO criteria. The primary end point was immune-related progression-free survival (irPFS). Other end points were progression-free survival (PFS), best overall response rate (BORR), immune-related BORR (irBORR), overall survival (OS), and safety. Results: The study met its primary end point of improved irPFS for phased ipilimumab versus the control (hazard ratio [HR], 0.72; P = .05), but not for concurrent ipilimumab (HR, 0.81; P = .13). Phased ipilimumab also improved PFS according to modified WHO criteria (HR, 0.69; P = .02). Phased ipilimumab, concurrent ipilimumab, and control treatments were associated with a median irPFS of 5.7, 5.5, and 4.6 months, respectively, a median PFS of 5.1, 4.1, and 4.2 months, respectively, an irBORR of 32%, 21% and 18%, respectively, a BORR of 32%, 21% and 14%, respectively, and a median OS of 12.2, 9.7, and 8.3 months. Overall rates of grade 3 and 4 immune-related AEs were 15%, 20%, and 6% for phased ipilimumab, concurrent ipilimumab, and the control, respectively. Two patients (concurrent, one patient; control, one patient) died from treatment-related toxicity. Conclusion: Phased ipilimumab plus paclitaxel and carboplatin improved irPFS and PFS, which supports additional investigation of ipilimumab in NSCLC.
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
Improved Survival with Ipilimumab in Patients with Metastatic Melanoma
Hodi, F. S., O'Day, S. J., McDermott, D. F., Weber, R. W., Sosman, J. A., Haanen, J. B., Gonzalez, R., Robert, C., Schadendorf, D., Hassel, J. C., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1003466 · Cited by 15,155
Paclitaxel–Carboplatin Alone or with Bevacizumab for Non–Small-Cell Lung Cancer
Sandler, A., Gray, R., Perry, M. C., Brahmer, J., Schiller, J. H., Dowlati, A., Lilenbaum, R., & Johnson, D. H. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa061884 · Cited by 5,761
Ipilimumab plus Dacarbazine for Previously Untreated Metastatic Melanoma
Robert, C., Thomas, L., Bondarenko, I., O'Day, S., Weber, J., Garbe, C., Lebbe, C., Baurain, J.-F., Testori, A., Grob, J.-J., et al. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1104621 · Cited by 4,496
Self-citationCD28 and CTLA-4 have opposing effects on the response of T cells to stimulation.
Krummel, M. F., & Allison, J. P. (1995) · The Journal of experimental medicine · doi:10.1084/jem.182.2.459 · Cited by 2,245 · cited 1×
“One anticancer target of current interest is cytotoxic T-lymphocyte antigen-4 (CTLA-4), which is a negative regulator of T-cell activation.(7-10) JOURNAL OF CLINICAL ONCOLOGY O R I G I N A L R E P O R T VOLUME 30 NUMBER 17 JUNE 10 2012”
BackgroundImmunological aspects of cancer chemotherapy
Zitvogel, L., Apetoh, L., Ghiringhelli, F., & Kroemer, G. (2008) · Nature Reviews Immunology · doi:10.1038/nri2216 · Cited by 1,712
Phan, G. Q., Yang, J. C., Sherry, R. M., Hwu, P., Topalian, S. L., Schwartzentruber, D. J., Restifo, N. P., Haworth, L. R., Seipp, C. A., Freezer, L. J., et al. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1533209100 · Cited by 1,575
Attia, P., Phan, G. Q., Maker, A. V., Robinson, M. R., Quezado, M. M., Yang, J. C., Sherry, R. M., Topalian, S. L., Kammula, U. S., Royal, R. E., et al. (2005) · Journal of Clinical Oncology · doi:10.1200/jco.2005.06.205 · Cited by 1,012
A Confidence Interval for the Median Survival Time
Brookmeyer, R., & Crowley, J. (1982) · Biometrics · doi:10.2307/2530286 · Cited by 914
Cited by
Inferring tumour purity and stromal and immune cell admixture from expression data
Yoshihara, K., Shahmoradgoli, M., Martínez, E., Vegesna, R., Kim, H., Torres-Garcia, W., Treviño, V., Shen, H., Laird, P. W., Levine, D. A., et al. (2013) · Nature Communications · doi:10.1038/ncomms3612 · Cited by 9,778
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
Immune Checkpoint Blockade: A Common Denominator Approach to Cancer Therapy
Topalian, S. L., Drake, C. G., & Pardoll, D. M. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.03.001 · Cited by 4,229
A guide to cancer immunotherapy: from T cell basic science to clinical practice
Waldman, A. D., Fritz, J. M., & Lenardo, M. J. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-0306-5 · Cited by 4,154
iRECIST: guidelines for response criteria for use in trials testing immunotherapeutics
Seymour, L., Bogaerts, J., Perrone, A., Ford, R., Schwartz, L. H., Mandrekar, S., Lin, N. U., Litière, S., Dancey, J., Chen, A., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30074-8 · Cited by 2,472
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
Non-small cell lung cancer: current treatment and future advances
Zappa, C., & Mousa, S. A. (2016) · Translational Lung Cancer Research · doi:10.21037/tlcr.2016.06.07 · Cited by 1,944
Immune evasion in cancer: mechanistic basis and therapeutic strategies
Vinay, D. S., Ryan, E. P., Pawelec, G., Talib, W. H., Stagg, J., Elkord, E., Lichtor, T., Decker, W. K., Whelan, R. L., Kumara, H. M. C. S., et al. (2015) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2015.03.004 · Cited by 1,625
Immunological effects of conventional chemotherapy and targeted anticancer agents
Galluzzi, L., Buqué, A., Kepp, O., Zitvogel, L., & Kroemer, G. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.10.012 · Cited by 1,530
CTLA-4: a moving target in immunotherapy
Rowshanravan, B., Halliday, N., & Sansom, D. M. (2018) · Blood · doi:10.1182/blood-2017-06-741033 · Cited by 1,233
Lung cancer immunotherapy: progress, pitfalls, and promises
Lahiri, A., Maji, A., Potdar, P. D., Singh, N., Parikh, P., Bisht, B., Mukherjee, A., & Paul, M. K. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01740-y · Cited by 1,102
Monitoring immune-checkpoint blockade: response evaluation and biomarker development
Nishino, M., Ramaiya, N. H., Hatabu, H., & Hodi, F. S. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.88 · Cited by 1,023
Combination cancer immunotherapies tailored to the tumour microenvironment
Smyth, M. J., Ngiow, S. F., Ribas, A., & Teng, M. W. L. (2016) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2015.209 · Cited by 944
Radiotherapy induces responses of lung cancer to CTLA-4 blockade
Formenti, S. C., Rudqvist, N.-P., Golden, E., Cooper, B., Wennerberg, E., Lhuillier, C., Vanpouille-Box, C., Friedman, K., Ferrari de Andrade, L., Wucherpfennig, K. W., et al. (2018) · Nature Medicine · doi:10.1038/s41591-018-0232-2 · Cited by 928
Masters, G. A., Temin, S., Azzoli, C. G., Giaccone, G., Baker, S., Brahmer, J. R., Ellis, P. M., Gajra, A., Rackear, N., Schiller, J. H., et al. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2015.62.1342 · Cited by 850
The role of myeloid cells in cancer therapies
Engblom, C., Pfirschke, C., & Pittet, M. J. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.54 · Cited by 788
Gettinger, S., Choi, J., Hastings, K., Truini, A., Datar, I., Sowell, R., Wurtz, A., Dong, W., Cai, G., Melnick, M. A., et al. (2017) · Cancer Discovery · doi:10.1158/2159-8290.cd-17-0593 · Cited by 787
Dendritic cell-derived exosomes as maintenance immunotherapy after first line chemotherapy in NSCLC
Besse, B., Charrier, M., Lapierre, V., Dansin, E., Lantz, O., Planchard, D., Le Chevalier, T., Livartoski, A., Barlesi, F., Laplanche, A., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2015.1071008 · Cited by 749
Self-citationIwama, S., De Remigis, A., Callahan, M. K., Slovin, S. F., Wolchok, J. D., & Caturegli, P. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008002 · Cited by 715
Hanna, N., Johnson, D., Temin, S., Baker, S., Brahmer, J., Ellis, P. M., Giaccone, G., Hesketh, P. J., Jaiyesimi, I., Leighl, N. B., et al. (2017) · Journal of Clinical Oncology · doi:10.1200/jco.2017.74.6065 · Cited by 643
Development of immuno-oncology drugs — from CTLA4 to PD1 to the next generations
Hoos, A. (2016) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2015.35 · Cited by 601
Nishino, M., Giobbie-Hurder, A., Gargano, M., Suda, M., Ramaiya, N. H., & Hodi, F. S. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-0895 · Cited by 522
Immune-checkpoint inhibitors associated with interstitial lung disease in cancer patients
Delaunay, M., Cadranel, J., Lusque, A., Meyer, N., Gounant, V., Moro-Sibilot, D., Michot, J.-M., Raimbourg, J., Girard, N., Guisier, F., et al. (2017) · European Respiratory Journal · doi:10.1183/13993003.00050-2017 · Cited by 412
Endocrine Side Effects Induced by Immune Checkpoint Inhibitors
Corsello, S. M., Barnabei, A., Marchetti, P., De Vecchis, L., Salvatori, R., & Torino, F. (2013) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-4075 · Cited by 403
Integrating next-generation dendritic cell vaccines into the current cancer immunotherapy landscape
Garg, A. D., Coulie, P. G., Van den Eynde, B. J., & Agostinis, P. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.05.006 · Cited by 340
Immunotherapy and hypophysitis: clinical presentation, treatment, and biologic insights
Faje, A. (2016) · Pituitary · doi:10.1007/s11102-015-0671-4 · Cited by 326
Chemoimmunotherapy: Reengineering Tumor Immunity
Chen, G., & Emens, L. A. (2013) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-012-1388-0 · Cited by 242
VISTA is a novel broad-spectrum negative checkpoint regulator for cancer immunotherapy
Lines, J. L., Sempere, L. F., Broughton, T., Wang, L., & Noelle, R. (2014) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0072 · Cited by 236
Subudhi, S. K., Aparicio, A., Gao, J., Zurita, A. J., Araujo, J. C., Logothetis, C. J., Tahir, S. A., Korivi, B. R., Slack, R. S., Vence, L., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611421113 · Cited by 226
Molecular pathways and therapeutic targets in lung cancer
Shtivelman, E., Hensing, T., Simon, G. R., Dennis, P. A., Otterson, G. A., Bueno, R., & Salgia, R. (2014) · Oncotarget · doi:10.18632/oncotarget.1891 · Cited by 220
David, J. M., Dominguez, C., McCampbell, K. K., Gulley, J. L., Schlom, J., & Palena, C. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1349589 · Cited by 180
Endocrine side effects of cancer immunotherapy
Cukier, P., Santini, F. C., Scaranti, M., & Hoff, A. O. (2017) · Endocrine-Related Cancer · doi:10.1530/erc-17-0358 · Cited by 177
Tumor CTLA-4 overexpression predicts poor survival in patients with nasopharyngeal carcinoma
Huang, P.-Y., Guo, S.-S., Zhang, Y., Lu, J.-B., Chen, Q.-Y., Tang, L.-Q., Zhang, L., Liu, L.-T., Zhang, L., & Mai, H.-Q. (2016) · Oncotarget · doi:10.18632/oncotarget.7421 · Cited by 96
Nishino, M., Gargano, M., Suda, M., Ramaiya, N. H., & Hodi, F. S. (2014) · Journal for ImmunoTherapy of Cancer · doi:10.1186/2051-1426-2-17 · Cited by 95
Delivery Strategies for Immune Checkpoint Blockade
Chen, Q., Wang, C., Chen, G., Hu, Q., & Gu, Z. (2018) · Advanced Healthcare Materials · doi:10.1002/adhm.201800424 · Cited by 90
Lizotte, P. H., Hong, R.-L., Luster, T. A., Cavanaugh, M. E., Taus, L. J., Wang, S., Dhaneshwar, A., Mayman, N., Yang, A., Kulkarni, M., et al. (2018) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-18-0193 · Cited by 88
Cell death response to anti-mitotic drug treatment in cell culture, mouse tumor model and the clinic
Shi, J., & Mitchison, T. J. (2017) · Endocrine-Related Cancer · doi:10.1530/erc-17-0003 · Cited by 79
Abdel-Rahman, O., Helbling, D., Schmidt, J., Petrausch, U., Giryes, A., Mehrabi, A., Schöb, O., Mannhart, M., & Oweira, H. (2017) · Clinical Oncology · doi:10.1016/j.clon.2016.11.007 · Cited by 55
KAWANO, M., ITONAGA, I., IWASAKI, T., & TSUMURA, H. (2013) · Oncology Reports · doi:10.3892/or.2013.2224 · Cited by 51
Phase II trial of cisplatin, gemcitabine and pembrolizumab for platinum-resistant ovarian cancer
Walsh, C. S., Kamrava, M., Rogatko, A., Kim, S., Li, A., Cass, I., Karlan, B., & Rimel, B. J. (2021) · PLOS ONE · doi:10.1371/journal.pone.0252665 · Cited by 27
Shang, H., Chen, C., Shih, Y., Peng, S., Chen, Y., Liu, K., Huang, H., Hsueh, S., Chen, K., Lu, H., et al. (2021) · Environmental Toxicology · doi:10.1002/tox.23013 · Cited by 13
Self-citation
Metadata
- Authors
- Lynch, T. J., Bondarenko, I., Luft, A., Serwatowski, P., Barlesi, F., Chacko, R., Sebastian, M., Neal, J., Lu, H., Cuillerot, J.-M., & Reck, M.
- Venue
- Journal of Clinical Oncology
- Published
- 2012-06-10
- Volume
- 30
- Issue
- 17
- Pages
- 2046-2054
- ISSN
- 0732-183X (ISSN-L)
- 1527-7755
- OpenAlex
- W2098414192
- Cited by
- 1,002
- References
- 8
- FWCI
- 47.72
- Type
- journal article
- Language
- en
- Open access
- closed
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.