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Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab
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Abstract
Purpose: To identify baseline peripheral blood biomarkers associated with clinical outcome following ipilimumab treatment in advanced melanoma patients. Experimental Design: Frequencies of myeloid-derived suppressor cells (MDSC) and regulatory T cells (Treg), serum lactate dehydrogenase (LDH), routine blood counts, and clinical characteristics were assessed in 209 patients. Endpoints were overall survival (OS) and best overall response. Statistical calculations were done by Kaplan–Meier and Cox regression analysis, including calibration and discrimination by C-statistics. Results: Low baseline LDH, absolute monocyte counts (AMC), Lin−CD14+HLA-DR−/low-MDSC frequencies, and high absolute eosinophil counts (AEC), relative lymphocyte counts (RLC), and CD4+CD25+FoxP3+-Treg frequencies were significantly associated with better survival, and were considered in a combination model. Patients (43.5%) presenting with the best biomarker signature had a 30% response rate and median survival of 16 months. In contrast, patients with the worst biomarkers (27.5%) had only a 3% response rate and median survival of 4 months. The occurrence of adverse events correlated with neither baseline biomarker signatures nor the clinical benefit of ipilimumab. In another model, limited to the routine parameters LDH, AMC, AEC, and RLC, the number of favorable factors (4 vs. 3 vs. 2–0) was also associated with OS (P < 0.001 for all pairwise comparisons) in the main study and additionally in an independent validation cohort. Conclusions: A baseline signature of low LDH, AMC, and MDSCs as well as high AEC, Tregs, and RLC is associated with favorable outcome following ipilimumab. Prospective investigation of the predictive impact of these markers following ipilimumab and other treatments, e.g., PD-1 antibodies, is warranted. Clin Cancer Res; 22(12); 2908–18. ©2016 AACR.
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“Furthermore, an elevated eosinophil count prior to treatment was associated with longer overall survival in several studies.8–12”
In the citing paper
“increased lymphocyte counts in the blood are associated not only with favorable treatment outcome but also with increased overall survival in patients with melanoma treated with ICIs (132-135).”
From Immune Checkpoint Inhibitors for the Treatment of Cancer: Clinical Impact and Mechanisms of Response and Resistance (2021) · cites this paper as [134]
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“numerous studies of patients with cancer have indeed found that these myeloid cell subsets, whether in the tumor or in peripheral tissues, were negatively correlated with effective ICI therapy (134, 161, 168-171).”
From Immune Checkpoint Inhibitors for the Treatment of Cancer: Clinical Impact and Mechanisms of Response and Resistance (2021) · cites this paper as [134]
In the citing paper
“both a low baseline frequency of MDSCs and a low frequency of MDSCs in the blood of patients with melanoma following ipilimumab treatment were associated with favorable therapy outcome (134, 169-171).”
From Immune Checkpoint Inhibitors for the Treatment of Cancer: Clinical Impact and Mechanisms of Response and Resistance (2021) · cites this paper as [134]
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PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989
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 15,320
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
Self-citationSafety, 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 · cited 1×
“Moreover, recent breakthroughs in immunotherapy, especially anti-PD-1 (5, 21) and anti-programmed cell death ligand-1 (PD-L1) antibodies (22), impressively demonstrate the capacity of a modulated immune system to reject cancer.”
BackgroundSafety 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 · cited 1×
“Moreover, recent breakthroughs in immunotherapy, especially anti-PD-1 (5, 21) and anti-programmed cell death ligand-1 (PD-L1) antibodies (22), impressively demonstrate the capacity of a modulated immune system to reject cancer.”
BackgroundMyeloid-derived-suppressor cells as regulators of the immune system
Gabrilovich, D. I., & Nagaraj, S. (2009) · Nature Reviews Immunology · doi:10.1038/nri2506 · Cited by 6,753 · cited 1×
“MDSCs and Tregs have been shown to exert suppressive function on T cells, thereby possibly counteracting the beneficial effect of ipilimumab (28, 45).”
BackgroundFinal Version of 2009 AJCC Melanoma Staging and Classification
Balch, C. M., Gershenwald, J. E., Soong, S.-J., Thompson, J. F., Atkins, M. B., Byrd, D. R., Buzaid, A. C., Cochran, A. J., Coit, D. G., Ding, S., et al. (2009) · Journal of Clinical Oncology · doi:10.1200/jco.2009.23.4799 · Cited by 4,653 · cited 1×
“The aim of the present studywas to identify baseline peripheral blood biomarkers associated with overall survival (OS) and tumor response of melanoma patients treated with ipilimumab, by a comprehensive analysis of routine blood counts, frequencies of immune cell subsets analyzed by flow cytometry, and established pro…”
BackgroundIpilimumab 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 · cited 1×
“Ipilimumab was the first agent to prolong survival of melanoma patients in randomized phase III studies (1, 2).”
BackgroundSelf-citationGenetic Basis for Clinical Response to CTLA-4 Blockade in Melanoma
Snyder, A., Makarov, V., Merghoub, T., Yuan, J., Zaretsky, J. M., Desrichard, A., Walsh, L. A., Postow, M. A., Wong, P., Ho, T. S., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1406498 · Cited by 4,286 · cited 3×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundSelf-citationCamp, R. L., Dolled-Filhart, M. P., & Rimm, D. L. (2004) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-04-0713 · Cited by 3,748 · cited 1×
“Candidates and respective cutoff points for continuous variables were defined by applying an optimization algorithm similar to those published earlier (10, 33).”
MethodCoordinated regulation of myeloid cells by tumours
Gabrilovich, D. I., Ostrand-Rosenberg, S., & Bronte, V. (2012) · Nature Reviews Immunology · doi:10.1038/nri3175 · Cited by 3,544 · cited 3×
“MDSCs and Tregs have been shown to exert suppressive function on T cells, thereby possibly counteracting the beneficial effect of ipilimumab (28, 45).”
BackgroundWolchok, J. D., Hoos, A., O'Day, S. J., Weber, J. S., Hamid, O., Lebbé, C., Maio, M., Binder, M., Bohnsack, O., Nichol, G. M., et al. (2009) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-09-1624 · Cited by 3,214
Self-citationImproved Overall Survival in Melanoma with Combined Dabrafenib and Trametinib
Robert, C., Karaszewska, B., Schachter, J., Rutkowski, P. L., Mackiewicz, A. A., Stroyakovskiy, D., Lichinitser, M., Dummer, R., Grange, F., Mortier, L., et al. (2014) · New England Journal of Medicine · doi:10.1056/nejmoa1412690 · Cited by 2,763 · cited 1×
“The identification of patients who are most likely to experience clinical benefit will become increasingly important as alternative treatments such as combined targeted therapies, or antiprogrammed cell death protein-1 (PD-1) antibodies, become available (4, 5).”
BackgroundSelf-citationSchadendorf, D., Hodi, F. S., Robert, C., Weber, J. S., Margolin, K., Hamid, O., Patt, D., Chen, T.-T., Berman, D. M., & Wolchok, J. D. (2015) · Journal of Clinical Oncology · doi:10.1200/jco.2014.56.2736 · Cited by 2,141 · cited 1×
“However, only about 20% of treated patients experience a durable response, whereas all are at risk for side effects (3).”
BackgroundSelf-citationRobert, C., Ribas, A., Wolchok, J. D., Hodi, F. S., Hamid, O., Kefford, R., Weber, J. S., Joshua, A. M., Hwu, W.-J., Gangadhar, T. C., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60958-2 · Cited by 1,774
Self-citationReporting Recommendations for Tumor Marker Prognostic Studies (REMARK): Explanation and Elaboration
Altman, D. G., McShane, L. M., Sauerbrei, W., & Taube, S. E. (2012) · PLoS Medicine · doi:10.1371/journal.pmed.1001216 · Cited by 1,034
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 · cited 2×
“Early clinical studies reported a correlation between the occurrence of autoimmunity after ipilimumab and favorable clinical outcome (7, 8).”
Backgroundvan Rooij, N., van Buuren, M. M., Philips, D., Velds, A., Toebes, M., Heemskerk, B., van Dijk, L. J. A., Behjati, S., Hilkmann, H., el Atmioui, D., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.47.7521 · Cited by 798 · cited 2×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundSerafini, P., Meckel, K. F., Kelso, M., Noonan, K. A., Califano, J. A., Koch, W. M., Dolcetti, L., Bronte, V., & Borrello, I. (2006) · The Journal of Experimental Medicine · doi:10.1084/jem.20061104 · Cited by 780 · cited 1×
“Blockade of the suppressive function of MDSCs using cyclooxygenase-2 (COX-2)/prostaglandin E2 pathway inhibitors (39, 40) or phosphodiesterase inhibitors (41) represents other possible approaches, which may be tested as monotherapies or in combination with ipilimumab.”
MethodT-helper-1-cell cytokines drive cancer into senescence
Braumüller, H., Wieder, T., Brenner, E., Aßmann, S., Hahn, M., Alkhaled, M., Schilbach, K., Essmann, F., Kneilling, M., Griessinger, C., et al. (2013) · Nature · doi:10.1038/nature11824 · Cited by 720 · cited 1×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundDowney, S. G., Klapper, J. A., Smith, F. O., Yang, J. C., Sherry, R. M., Royal, R. E., Kammula, U. S., Hughes, M. S., Allen, T. E., Levy, C. L., et al. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-07-0187 · Cited by 624 · cited 2×
“Early clinical studies reported a correlation between the occurrence of autoimmunity after ipilimumab and favorable clinical outcome (7, 8).”
BackgroundMeyer, C., Cagnon, L., Costa-Nunes, C. M., Baumgaertner, P., Montandon, N., Leyvraz, L., Michielin, O., Romano, E., & Speiser, D. E. (2014) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-013-1508-5 · Cited by 560
Self-citationCarretero, R., Sektioglu, I. M., Garbi, N., Salgado, O. C., Beckhove, P., & Hämmerling, G. J. (2015) · Nature Immunology · doi:10.1038/ni.3159 · Cited by 501
Ku, G. Y., Yuan, J. D., Page, D. B., Schroeder, S. E. A., Panageas, K. S., Carvajal, R. D., Chapman, P. B., Schwartz, G. K., Allison, J. P., & Wolchok, J. D. (2010) · Cancer · doi:10.1002/cncr.24951 · Cited by 418
Self-citationGebhardt, C., Sevko, A., Jiang, H., Lichtenberger, R., Reith, M., Tarnanidis, K., Holland-Letz, T., Umansky, L., Beckhove, P., Sucker, A., et al. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-0676 · Cited by 367 · cited 2×
“MDSCs have also been reported as predictive marker candidates for following ipilimumab administration (10, 30, 31).”
BackgroundResultInfluentialSelf-citationYuan, J. D., Adamow, M. J., Ginsberg, B. A., Rasalan, T. S., Ritter, E., Gallardo, H. F., Xu, Y., Pogoriler, E., Terzulli, S. L., Kuk, D., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1110814108 · Cited by 337 · cited 2×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundSelf-citationSchmidt, H., Bastholt, L., Geertsen, P. F., Christensen, I. J., Larsen, S., Gehl, J., & von der Maase, H. (2005) · British Journal of Cancer · doi:10.1038/sj.bjc.6602702 · Cited by 327 · cited 1×
“An association of high AMC with poor prognosis was reported before (37, 38), but baseline counts were not predictive for ipilimumab-treated patients in the study of Kitano and colleagues (10).”
BackgroundDelyon, J., Mateus, C., Lefeuvre, D., Lanoy, E., Zitvogel, L., Chaput, N., Roy, S., Eggermont, A. M. M., Routier, E., & Robert, C. (2013) · Annals of Oncology · doi:10.1093/annonc/mdt027 · Cited by 318 · cited 10×
“org Clin Cancer Res; 22(12) June 15, 2016 2913”
BackgroundResultInfluentialTarhini, A. A., Edington, H. D. J., Butterfield, L. H., Lin, Y., Shuai, Y., Tawbi, H. A., Sander, C., Yin, Y., Holtzman, M. P., Johnson, J. T., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087705 · Cited by 316 · cited 1×
“However, conflicting results have also been reported (42).”
Ikutani, M., Yanagibashi, T., Ogasawara, M., Tsuneyama, K., Yamamoto, S., Hattori, Y., Kouro, T., Itakura, A., Nagai, Y., Τακακι, S., et al. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1101270 · Cited by 314
Lactate dehydrogenase as a selection criterion for ipilimumab treatment in metastatic melanoma
Kelderman, S., Heemskerk, B., van Tinteren, H., van den Brom, R. R. H., Hospers, G. A. P., van den Eertwegh, A. J. M., Kapiteijn, E., de Groot, J. W. B., Soetekouw, P. M. M. B., Jansen, R. L. H., et al. (2014) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-014-1528-9 · Cited by 307 · cited 2×
“The absolute lymphocyte count (ALC; refs.”
BackgroundSelf-citationVeltman, J. D., Lambers, M. E. H., van Nimwegen, M., Hendriks, R. W., Hoogsteden, H. C., Aerts, J. G. J. V., & Hegmans, J. P. (2010) · BMC Cancer · doi:10.1186/1471-2407-10-464 · Cited by 295
Ferrucci, P. F., Gandini, S., Battaglia, A., Alfieri, S., Giacomo, A. M. D., Giannarelli, D., Cappellini, G. C. A., Galitiis, F. D., Marchetti, P., Amato, G., et al. (2015) · British Journal of Cancer · doi:10.1038/bjc.2015.180 · Cited by 274 · cited 1×
“11–13, 23, 24), the neutrophil count (25), or the neutrophil to lymphocyte ratio (26)was reported by different groups as other possible biomarkers.”
BackgroundWeide, B., Martens, A., Zelba, H., Stutz, C., Derhovanessian, E., Giacomo, A. M. D., Maio, M., Sucker, A., Schilling, B., Schadendorf, D., et al. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-13-2508 · Cited by 270
Self-citationSimeone, E., Gentilcore, G., Giannarelli, D., Grimaldi, A. M., Caracò, C., Curvietto, M., Esposito, A., Paone, M., Palla, M., Cavalcanti, E., et al. (2014) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-014-1545-8 · Cited by 253 · cited 1×
“This hypothesis is strongly supported by the observed correlation between decreasing levels of circulating Tregs during ipilimumab and favorable outcome (9).”
BackgroundSelf-citationSimson, L., Ellyard, J. I., Dent, L. A., MATTHAEI, K. I., Rothenberg, M. E., Foster, P. S., Smyth, M. J., & Parish, C. R. (2007) · The Journal of Immunology · doi:10.4049/jimmunol.178.7.4222 · Cited by 217 · cited 1×
“For instance, eosinophils have important functions for tumor surveillance and were described as potent effectors for tumor rejection inmousemodels (43, 44).”
BackgroundMyeloid-derived suppressor cell measurements in fresh and cryopreserved blood samples
Kotsakis, A. P., Harasymczuk, M., Schilling, B., Georgoulias, V., Argiris, A. E., & Whiteside, T. L. (2012) · Journal of Immunological Methods · doi:10.1016/j.jim.2012.04.004 · Cited by 199 · cited 1×
“The results of factors analyzed by flow cytometry may be confounded by varying site-specific protocols for isolation, freezing, or storage of PBMC and might not reflect the actual immunemilieu in vivo, for example due to differences in susceptibility to cryopreservation between immune cell populations (48).”
BackgroundSelf-citationMao, Y., Poschke, I. C., Wennerberg, E., de Coaña, Y. P., Brage, S. E., Schultz, I., Hansson, J., Masucci, G. V., Lundqvist, A., & Kiessling, R. W. (2013) · Cancer Research · doi:10.1158/0008-5472.can-12-4115 · Cited by 192 · cited 1×
“Blockade of the suppressive function of MDSCs using cyclooxygenase-2 (COX-2)/prostaglandin E2 pathway inhibitors (39, 40) or phosphodiesterase inhibitors (41) represents other possible approaches, which may be tested as monotherapies or in combination with ipilimumab.”
MethodTIL therapy broadens the tumor-reactive CD8+T cell compartment in melanoma patients
Kvistborg, P., Shu, C. J., Heemskerk, B., Fankhauser, M., Thrue, C. A., Toebes, M., van Rooij, N., Linnemann, C., van Buuren, M. M., Urbanus, J. H. M., et al. (2012) · OncoImmunology · doi:10.4161/onci.18851 · Cited by 178 · cited 2×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundHannani, D., Vétizou, M., Enot, D. P., Rusakiewicz, S., Chaput, N., Klatzmann, D., Desbois, M., Jacquelot, N., Vimond, N., Chouaı̈b, S., et al. (2015) · Cell Research · doi:10.1038/cr.2015.3 · Cited by 166
Self-citationAscierto, P. A., Simeone, E., Chiarion‐Sileni, V., Pigozzo, J., Maio, M., Altomonte, M., Vecchio, M. D., Guardo, L. D., Marchetti, P., Ridolfi, R., et al. (2014) · Journal of Translational Medicine · doi:10.1186/1479-5876-12-116 · Cited by 163 · cited 1×
“In contrast, this correlation was neither observed in the current study, nor in recent investigations of large patient cohorts treated within early access programs (12, 49).”
ResultSelf-citationAscierto, P. A., Kalos, M. D., Schaer, D., Callahan, M. K., & Wolchok, J. D. (2013) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-12-2982 · Cited by 141 · cited 1×
“Moreover, biomarkers can shed light on the mechanisms of immune-mediated tumor rejection (6).”
BackgroundSelf-citationHannani, D., Vétizou, M., Enot, D. P., Rusakiewicz, S., Chaput, N., Klatzmann, D., Desbois, M., Jacquelot, N., Vimond, N., Chouaı̈b, S., et al. (2015) · Cell Research · doi:10.1038/cr.2015.28 · Cited by 135 · cited 5×
“Interestingly, higher baseline frequencies of circulating CD4þCD25þFoxP3þ Tregs were associated with improved OS.”
BackgroundInfluentialSelf-citationKitano, S., Postow, M. A., Ziegler, C. G. K., Kuk, D., Panageas, K. S., Cortez, C. A., Rasalan, T. S., Adamow, M. J., Yuan, J. D., Wong, P., et al. (2014) · Cancer Immunology Research · doi:10.1158/2326-6066.cir-14-0013 · Cited by 134 · cited 4×
“MDSCs have also been reported as predictive marker candidates for following ipilimumab administration (10, 30, 31).”
BackgroundMethodResultInfluentialSelf-citationBiomarkers on melanoma patient T Cells associated with ipilimumab treatment
Wang, W., Yu, D., Sarnaik, A. A., Yu, B., Hall, M. S., Morelli, D., Zhang, Y., Zhao, X., & Weber, J. S. (2012) · Journal of Translational Medicine · doi:10.1186/1479-5876-10-146 · Cited by 122 · cited 1×
“Phenotypic characterization of immune cells provides detailed information about the patient's immune status (27).”
BackgroundWeide, B., Zelba, H., Derhovanessian, E., Pflugfelder, A., Eigentler, T., Giacomo, A. M. D., Maio, M., Aarntzen, E. H. J. G., de Vries, I. J. M., Sucker, A., et al. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2011.40.2271 · Cited by 118 · cited 1×
“CD4þ T helper cells (15), CD8þ cytotoxic T cells (16, 17), and those targeting melanoma-associated- (18) or neoantigens (19, 20) are in principle able to attack cancer cells and are most likely responsible for the beneficial effects of ipilimumab.”
BackgroundSelf-citationWilgenhof, S., Four, S. D., Vandenbroucke, F., Everaert, H., Salmon, I. J., Líénard, D., del Mármol, V., & Neyns, B. (2013) · Journal of Immunotherapy · doi:10.1097/cji.0b013e31828eed39 · Cited by 84
Giacomo, A. M. D., Danielli, R., Calabrò, L., Bertocci, E., Nannicini, C., Giannarelli, D., Balestrazzi, A., Vigni, F., Riversi, V., Miracco, C., et al. (2010) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-010-0958-2 · Cited by 81
Self-citationSchindler, K., Harmankaya, K., Kuk, D., Mangana, J., Michielin, O. A., Höeller, C., Dummer, R., Pehamberger, H., Wolchok, J. D., & Postow, M. A. (2014) · Journal of Clinical Oncology · doi:10.1200/jco.2014.32.15_suppl.9096 · Cited by 71
Self-citationPrognostic score for patients with advanced melanoma treated with ipilimumab
Diem, S., Kasenda, B., Martín-Liberal, J., Lee, A. T. J., Chauhan, D., Gore, M. E., & Larkin, J. (2015) · European Journal of Cancer · doi:10.1016/j.ejca.2015.09.007 · Cited by 66 · cited 1×
“A model based on the number of involved organs, the Eastern Cooperative Oncology Group (ECOG) performance status, and LDH prior to initiation of ipilimumab treatment was recently reported by Diem and colleagues (46).”
MethodValpione, S., Martinoli, C., Fava, P., D, S. M. M., Campana, L. G., Quaglino, P., Ferrucci, P. F., Pigozzo, J., Astrua, C., Testori, A., et al. (2015) · European Journal of Cancer · doi:10.1016/j.ejca.2015.06.130 · Cited by 51 · cited 1×
“11–13, 23, 24), the neutrophil count (25), or the neutrophil to lymphocyte ratio (26)was reported by different groups as other possible biomarkers.”
BackgroundRochet, N. M., Kottschade, L. A., Grotz, T. E., Porrata, L. F., & Markovic, S. N. (2013) · American Journal of Clinical Oncology · doi:10.1097/coc.0b013e31829b5605 · Cited by 34 · cited 1×
“An association of high AMC with poor prognosis was reported before (37, 38), but baseline counts were not predictive for ipilimumab-treated patients in the study of Kitano and colleagues (10).”
BackgroundSchindler, K., Harmankaya, K., Postow, M. A., Frantal, S., Bello, D., Ariyan, C. E., Michielin, O. A., Hoeller, C., Pehamberger, H., & Wolchok, J. D. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2013.31.15_suppl.9024 · Cited by 30 · cited 1×
“Similar findings were reported by Schindler and colleagues at the ASCOmeeting 2013 (36) and an increase of eosinophils during ipilimumab was associated with OS in the study of Delyon and colleagues (12).”
ResultSelf-citationHarrell, F., Jr. (1996) · doi:10.1002/(sici)1097-0258(19960229)15:4
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Metadata
- Authors
- Martens, A., Wistuba-Hamprecht, K., Foppen, M. G., Yuan, J., Postow, M. A., Wong, P., Romano, E., Khammari, A., Dreno, B., Capone, M., Ascierto, P. A., Di Giacomo, A. M., Maio, M., Schilling, B., Sucker, A., Schadendorf, D., Hassel, J. C., Eigentler, T. K., Martus, P., Wolchok, J. D., Blank, C., Pawelec, G., Garbe, C., & Weide, B.
- Affiliations
- Universitätsklinikum Tübingen (DE)
- 1Department of Dermatology, University Medical Center, Tübingen, Germany.
- The Netherlands Cancer Institute (NL)
- Memorial Sloan Kettering Cancer Center (US)
- Institut Curie (FR)
- Inserm (FR)
- 7Department of Oncodermatology, INSERM Research Unit 892, University Hospital, Nantes, France.
- Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT)
- 9Division of Medical Oncology and Immunotherapy, University Hospital of Siena, Italy.
- University of Siena (IT)
- Essen University Hospital (DE)
- Heidelberg University (DE)
- University of Tübingen (DE)
- Corresponding author
- Weide, Benjamin
- ORCID
- Venue
- Clinical Cancer Research
- Published
- 2016-06-14
- Volume
- 22
- Issue
- 12
- Pages
- 2908-2918
- ISSN
- 1078-0432 (ISSN-L)
- 1557-3265
- PMC
- PMC5770142
- OpenAlex
- W2282962877
- Semantic Scholar
- 687f623ec6cd13653346165ccad52a8570919d07
- Cited by
- 541
- References
- 55
- Citations by year
- 2026: 10 · 2025: 29 · 2024: 21 · 2023: 42 · 2022: 50 · 2021: 75 · 2020: 85 · 2019: 61 · 2018: 70 · 2017: 63 · 2016: 33
- FWCI
- 40.81
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Clinical Cancer Research (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Use Siena air (University of Siena) (submittedVersion, other-oa)
- HAL (submittedVersion)
- Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
- Funders
- Bristol-Myers-Squibb (Munich, Germany) and EU Seventh Framework Program "PRIAT" (305309 and DFG PA 361-22/1)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Health Sciences › Medicine › Oncology › Inflammatory Biomarkers in Disease Prognosis
- Keywords
- advanced melanoma, ipilimumab, predictive biomarkers, myeloid-derived suppressor cells, regulatory T cells, lactate dehydrogenase, absolute monocyte count, absolute eosinophil count, overall survival, best overall response, immune checkpoint inhibitors, anti-PD-1
- MeSH terms
- Myeloid-Derived Suppressor Cells, Antineoplastic Agents, Immunological, Ipilimumab, Aged, Erythrocyte Count, Female, Humans, L-Lactate Dehydrogenase, Male, Melanoma, Skin Neoplasms, Biomarkers, Tumor, Treatment Outcome, Lymphocyte Count, T-Lymphocytes, Regulatory
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