The DOI matches its Crossref record; 54 of the 55 references it cites were found in a registry or an index.
Baseline Peripheral Blood Biomarkers Associated with Clinical Outcome of Advanced Melanoma Patients Treated with Ipilimumab
Open accessPublished version of a preprint
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.
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“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]
In the citing paper
“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]
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
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).”
Method
Cited by
Sorted by citations
Items 101–200 of 543
Wang, L., Sfakianos, J. P., Beaumont, K. G., Akturk, G., Horowitz, A., Sebra, R. P., Farkas, A. M., Gnjatic, S., Hake, A., Izadmehr, S., et al. (2021) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-20-4574 · Cited by 97
Serum exosomes as predictors of clinical response to ipilimumab in metastatic melanoma
Tucci, M., Passarelli, A. M., Mannavola, F., Stucci, L. S., Ascierto, P. A., Capone, M., Madonna, G., Lopalco, P., & Silvestris, F. (2017) · OncoImmunology · doi:10.1080/2162402x.2017.1387706 · Cited by 96
Self-citationProgress and Challenges of Predictive Biomarkers for Immune Checkpoint Blockade
Lei, Y., Li, X., Huang, Q., Zheng, X., & Liu, M. (2021) · Frontiers in Oncology · doi:10.3389/fonc.2021.617335 · Cited by 94
Shen, R., Postow, M. A., Adamow, M. J., Arora, A., Hannum, M., Maher, C. A., Wong, P., Curran, M. A., Hollmann, T. J., Jia, L., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abf5107 · Cited by 100
Self-citationLandscape of Myeloid-derived Suppressor Cell in Tumor Immunotherapy
Hao, Z., Li, R., Wang, Y., Li, S., Hong, Z., & Han, Z. (2021) · Biomarker Research · doi:10.1186/s40364-021-00333-5 · Cited by 101
Judge, S. J., Darrow, M. A., Thorpe, S. W., Gingrich, A. A., O’Donnell, E. F., Bellini, A. R., Sturgill, I. R., Vick, L. V., Dunai, C., Stoffel, K. M., et al. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2020-001355 · Cited by 97
C-reactive protein as an early marker of immune-related adverse events
Abolhassani, A.-R., Schuler, G., Kirchberger, M. C., & Heinzerling, L. (2019) · Journal of Cancer Research and Clinical Oncology · doi:10.1007/s00432-019-03002-1 · Cited by 97
Immunosuppressive Effects of Myeloid-Derived Suppressor Cells in Cancer and Immunotherapy
Krishnamoorthy, M., Gerhardt, L., & Vareki, S. M. (2021) · Cells · doi:10.3390/cells10051170 · Cited by 100
Michailidou, D., Khaki, A. R., Morelli, M. P., Diamantopoulos, L. N., Singh, N., & Grivas, P. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-88307-3 · Cited by 94
Dyikanov, D., Zaitsev, A., Васильева, Т. В., Wang, I., Sokolov, A. A., Bolshakov, E. S., Frank, A., Turova, P., Golubeva, O., Gantseva, A., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.04.008 · Cited by 101
Iivanainen, S., Ahvonen, J., Knuuttila, A., Tiainen, S., & Koivunen, J. P. (2019) · ESMO Open · doi:10.1136/esmoopen-2019-000531 · Cited by 92
“High baseline levels of LDH are linked to poor survival and to inferior response to ICIs on MEL and NSCLC patients.(27) 28 The current retrospective study evaluates the correlation of pretreatment CRP-values and NLR ratio to survival outcomes among cancer patients receiving anti-PD-1 agents.”
Backgroundda Silva, I. P., Ahmed, T., McQuade, J. L., Nebhan, C. A., Park, J., Versluis, J. M., Serra-Bellver, P., Khan, Y., Slattery, T., Oberoi, H. K., et al. (2022) · Journal of Clinical Oncology · doi:10.1200/jco.21.01701 · Cited by 88
Self-citationBitsch, R., Kurzay, A., Kurt, F. G. Ö., Torre, C. D. L., Lasser, S., Lepper, A., Siebenmorgen, A., Müller, V. A., Altevogt, P., Utikal, J. S., et al. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2021-004384 · Cited by 88
Twelve-year survival and immune correlates in dendritic cell–vaccinated melanoma patients
Groß, S., Erdmann, M., Haendle, I., Voland, S., Berger, T. G., Schultz, E. S., Strasser, E. F., Dankerl, P., Janka, R., Schliep, S., et al. (2017) · JCI Insight · doi:10.1172/jci.insight.91438 · Cited by 89
Petrelli, F., Ardito, R., Merelli, B., Lonati, V., Cabiddu, M., Seghezzi, S., Barni, S., & Ghidini, A. (2018) · Melanoma Research · doi:10.1097/cmr.0000000000000520 · Cited by 89
Myeloid Cells as Clinical Biomarkers for Immune Checkpoint Blockade
Peranzoni, E., Ingangi, V., Masetto, E., Pinton, L., & Marigo, I. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01590 · Cited by 85
“A combination model was defined including LDH,MDSCs, Relative Lymphocyte Count, AMC, and Absolute Eosinophil Count, where each of them also remained in the model as a significantly independent biomarker (114).”
MethodNepal, C., Zhu, B., O’Rourke, C. J., Bhatt, D. K., Lee, D., Song, L., Wang, D., Dyke, A. L. V., Choo‐Wosoba, H., Liu, Z., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.11.033 · Cited by 85
Nair, R., Somasundaram, V., Kuriakose, A., Krishn, S. R., Raben, D., Salazar, R. L., & Nair, P. (2025) · Frontiers in Immunology · doi:10.3389/fimmu.2025.1548234 · Cited by 100
Tietze, J., Angelova, D., Heppt, M., Reinholz, M., Murphy, W., Spannagl, M., Ruzicka, T., & Berking, C. (2017) · European Journal of Cancer · doi:10.1016/j.ejca.2016.12.031 · Cited by 79
Khoja, L., Atenafu, E. G., Templeton, A. J., Qye, Y., Chappell, M. A., Saibil, S. D., Hogg, D., Butler, M. O., & Joshua, A. M. (2016) · Cancer Medicine · doi:10.1002/cam4.878 · Cited by 82
“Several studies have suggested one or more of these parameters in conjunction with other markers, such as CD4 + , CD8 + T cells, number of Treg cells, and number of myeloidderived suppressor cells (MDSC) as predictive for outcome with ipilimumab [25, 26].”
BackgroundBeyond PD-L1 testing-emerging biomarkers for immunotherapy in non-small cell lung cancer
Voong, K. R., Feliciano, J. L., Becker, D. J., & Levy, B. P. (2017) · Annals of Translational Medicine · doi:10.21037/atm.2017.06.48 · Cited by 84
“worse survival (27); higher FOXP3+ Treg at baseline may be associated with survival (33);”
BackgroundInfluentialGenetic and Epigenetic Biomarkers of Immune Checkpoint Blockade Response
Xiao, Q., Nobre, A., Piñeiro, P., Berciano‐Guerrero, M., Alba, E., Cobo, M., Lauschke, V. M., & Barragán, I. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9010286 · Cited by 82
Prelaj, A., Ferrara, R., Rebuzzi, S. E., Proto, C., Signorelli, D., Galli, G., Toma, A. D., Randon, G., Pagani, F., Viscardi, G., et al. (2019) · Cancers · doi:10.3390/cancers11121954 · Cited by 80
Matsukane, R., Watanabe, H., Minami, H., Hata, K., Suetsugu, K., Tsuji, T., Masuda, S., Okamoto, I., Nakagawa, T., Ito, T., et al. (2021) · Scientific Reports · doi:10.1038/s41598-020-79397-6 · Cited by 83
Ibrahim, A., Abdalsalam, N. M. F., Liang, Z., Tariq, H. K., Li, R., Afolabi, L. O., Rabiu, L., Chen, X., Xu, S., Xu, Z., et al. (2025) · Cancer Gene Therapy · doi:10.1038/s41417-025-00886-9 · Cited by 89
“It has been reported that, as levels of circulating MDSCs rises, resistance to immune checkpoint inhibitors is likely to increase [30].”
Emerging predictors of the response to the blockade of immune checkpoints in cancer therapy
Li, X., Song, W., Shao, C., Shi, Y., & Han, W. (2018) · Cellular and Molecular Immunology · doi:10.1038/s41423-018-0086-z · Cited by 79
“However, a low frequency of myeloid-derived suppressor cells (MDSCs), defined by flow cytometry as LinCD14HLA-DR, was correlated with the highest probability of long-term survival.(98) In addition to a modest change of the lymphocyte compartment before therapy, a recent study using mass cytometry has identified an imm…”
BackgroundInfluentialCombinatorial Approaches With Checkpoint Inhibitors to Enhance Anti-tumor Immunity
Seliger, B. (2019) · Frontiers in Immunology · doi:10.3389/fimmu.2019.00999 · Cited by 80
Müller, M., Haghnejad, V., Schaefer, M., Gauchotte, G., Caron, B., Peyrin‐Biroulet, L., Bronowicki, J., Neuzillet, C., & Lopez, A. (2022) · Cancers · doi:10.3390/cancers14040995 · Cited by 83
Biomarkers of response to immune checkpoint blockade in cancer treatment
Fujii, T., Naing, A., Rolfo, C. D., & Hajjar, J. (2018) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2018.07.010 · Cited by 77
Balatoni, T., Mohos, A., Papp, E., Sebestyén, T., Liszkay, G., Oláh, J., Varga, A., Lengyel, Z., Emri, G., Gaudi, I., et al. (2018) · Cancer Immunology, Immunotherapy · doi:10.1007/s00262-017-2072-1 · Cited by 76
Yang, Y. A., Yang, J., Shen, L., Chen, J., Xia, L., Ni, B., Ge, L., Wang, Y., & Lü, S. (2021) · PubMed · Cited by 76
Eosinophilic Fasciitis Following Checkpoint Inhibitor Therapy: Four Cases and a Review of Literature
Chan, K. K., MAGRO, C. M. J., Shoushtari, A. N., Rudin, C. M., Rotemberg, V. M., Rossi, A., Lezcano, C. M., Carrino, J. A., Fernández, D., Postow, M. A., et al. (2019) · The Oncologist · doi:10.1634/theoncologist.2019-0508 · Cited by 76
Self-citationCorrelates of immune and clinical activity of novel cancer vaccines
van der Burg, S. H. (2018) · Seminars in Immunology · doi:10.1016/j.smim.2018.04.001 · Cited by 76
“In addition, melanoma patients with high levels of mMDSC experienced worse survival and display lower reactivity to melanoma associated antigens [172] and display less of a response to checkpoint therapy [173].”
BackgroundBiomarkers in Precision Cancer Immunotherapy: Promise and Challenges
McKean, W. B., Moser, J. C., Rimm, D. L., & Hu‐Lieskovan, S. (2020) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_280571 · Cited by 74
Vascular normalization in immunotherapy: A promising mechanisms combined with radiotherapy
Liu, Z., Zhao, Q., Zheng, Z., Liu, S., Meng, L., Dong, L., & Jiang, X. M. (2021) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2021.111607 · Cited by 78
Triozzi, P. L., Stirling, E. R., Song, Q., Westwood, B., Kooshki, M., Forbes, M. E., Holbrook, B. C., Cook, K. L., Alexander‐Miller, M. A., Miller, L. D., et al. (2022) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-21-3114 · Cited by 76
Spatial adaptation of eosinophils and their emerging roles in homeostasis, infection and disease
Arnold, I. C., & Munitz, A. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01048-y · Cited by 81
“For instance, absolute eosinophil numbers or increased eosinophil levels were positively correlated with better survival or long-term survival rates in patients with melanoma treated with ipilimumab 247,248 .”
Wistuba‐Hamprecht, K., Martens, A., Haehnel, K., Foppen, M. G., Yuan, J. D., Postow, M. A., Wong, P., Romano, E., Khammari, A., Dréno, B., et al. (2016) · European Journal of Cancer · doi:10.1016/j.ejca.2016.06.001 · Cited by 75
“Serum lactate dehydrogenase levels (LDH) (4–7), frequencies of circulating myeloid-derived suppressor cells (MDSC) (7, 8) and/or the abundance of tumor antigen-reactive T-cells (9, 10) have strong prognostic relevance in melanoma.”
BackgroundInfluentialSelf-citationBiomarkers for Response of Melanoma Patients to Immune Checkpoint Inhibitors: A Systematic Review
Jessurun, C. A. C., Vos, J. A. M., Limpens, J., & Luiten, R. M. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00233 · Cited by 76
“Baseline regulatory T-cell frequencies neither correlated to any outcome in CTLA-4 studies (42, 47, 56) nor to PFS upon PD-1 ICI therapy (23).”
BackgroundCTLA4 blockade promotes vessel normalization in breast tumors via the accumulation of eosinophils
Zheng, X., Zhang, N., Qian, L., Wang, X., Fan, P., Kuai, J., Lin, S., Liu, C., Jiang, W., Qin, S., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32829 · Cited by 76
“Several recent reports suggested that increases in peripheral eosinophil counts correlated with the therapeutic efficacy of Ipilimumab in melanoma patients.(21,22) Eosinophils are granulocytic leukocytes and differentiate frommyeloid progenitors in the bone marrow.”
BackgroundTargeting tumor-associated acidity in cancer immunotherapy
Lacroix, R., Rozeman, E. A., Kreutz, M. P., Renner, K., & Blank, C. U. (2018) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-018-2195-z · Cited by 71
Self-citationChen, H., Luan, X., Paholak, H. J., Burnett, J., Stevers, N. O., Sansanaphongpricha, K., He, M., Chang, A. E., Li, Q., & Sun, D. (2019) · Nanomedicine · doi:10.2217/nnm-2019-0190 · Cited by 71
“, chemotherapy, radiotherapy, immune checkpoint blockade-based immunotherapy), which have been found to unfavorably enhance Treg-mediated suppressive activity on effector T cells [23] or induce a preferential increase of Tregs in tumors [60,72].”
BackgroundPrelaj, A., Rebuzzi, S. E., Pizzutilo, P., Bilancia, M., Montrone, M., Pesola, F., Longo, V., Bene, G. D., Lapadula, V., Cassano, F., et al. (2020) · Clinical Lung Cancer · doi:10.1016/j.cllc.2019.11.017 · Cited by 70
Rogiers, A., Boekhout, A. H., Schwarze, J. K., Awada, G., Blank, C. U., & Neyns, B. (2019) · Journal of Oncology · doi:10.1155/2019/5269062 · Cited by 72
Self-citationIshihara, H., Tachibana, H., Takagi, T., Kondo, T., Fukuda, H., Yoshida, K., Iizuka, J., Kobayashi, H., Okumi, M., Ishida, H., et al. (2019) · Targeted Oncology · doi:10.1007/s11523-019-00660-6 · Cited by 67
Tallerico, R., Cristiani, C. M., Staaf, E., Garofalo, C., Sottile, R., Capone, M., de Coaña, Y. P., Madonna, G., Palella, E., Wolodarski, M., et al. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1261242 · Cited by 68
“cal biomarkers, while cellular and molecular immune responses have only been studied to a limited extent.(7-14) There is ample evidence for T cell involvement in immunity to melanoma,(15,16) and CTLA-4 blockade could influence T cell activity by different mechanisms, e.”
BackgroundSelf-citationPulanco, M. C., Madsen, A. T., Tanwar, A., Corrigan, D. T., & Zang, X. (2023) · Cellular and Molecular Immunology · doi:10.1038/s41423-023-01019-8 · Cited by 69
“Moreover, higher Treg frequencies in baseline peripheral blood samples from melanoma patients are associated with unfavorable outcomes of CTLA-4 blockade [187].”
BackgroundWoods, D. M., Ramakrishnan, R., Laino, A. S., Berglund, A., Walton, K., Betts, B. C., & Weber, J. S. (2018) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1100 · Cited by 66
“Patients benefiting from adjuvant nivolumab therapy display an increase in circulating Tregs post-treatment Given the observation that proliferation associated genes were upregulated in NED Tregs and that increased levels of circulating Tregs are associated with response to ipilimumab (18), we next assessed percentage…”
BackgroundHigh-dimensional immune-profiling in cancer: implications for immunotherapy
Chuah, S., & Chew, V. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000363 · Cited by 71
Zahoor, H., Barata, P. C., Jia, X., Martin, A. M., Allman, K. D., Wood, L. S., Gilligan, T. D., Grivas, P. D., Ornstein, M. C., Garcia, J. A., et al. (2018) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-018-0425-8 · Cited by 67
PD-L1 predicts poor prognosis for nasopharyngeal carcinoma irrespective of PD-1 and EBV-DNA load
Zhou, Y., Shi, D., Miao, J., Wu, H., Chen, J., Zhou, X., Hu, D., Zhao, C., Deng, W., & Xie, C. (2017) · Scientific Reports · doi:10.1038/srep43627 · Cited by 66
Kleinberg, L. R., Sloan, L., Grossman, S. A., & Lim, M. K. (2019) · Neurosurgery · doi:10.1093/neuros/nyz198 · Cited by 70
A clinical and biological perspective of human myeloid-derived suppressor cells in cancer
Shipp, C., Speigl, L., Janssen, N., Martens, A., & Pawelec, G. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-016-2278-y · Cited by 65
Self-citationRegulation of myeloid cells by activated T cells determines the efficacy of PD-1 blockade
Eißler, N., Mao, Y., Brodin, D., Reuterswärd, P., Svahn, H. A., Johnsen, J. I., Kiessling, R. W., & Kogner, P. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1232222 · Cited by 62
“PD-L1 on tumor cells were associated with clinical outcomes of the treatment.(41) In the murine model of this study, we monitored simultaneously 59 immune cell parameters and demonstrated that splenic myeloid cells expressing PD-L1 and CSF1R at high levels were associated with larger tumor burdens.”
BackgroundScanvion, Q., Béné, J., Gautier, S., Grandvuillemin, A., Le Beller, C., Chenaf, C., Etienne, N., Brousseau, S., Cortot, A. B., Mortier, L., et al. (2020) · OncoImmunology · doi:10.1080/2162402x.2020.1722022 · Cited by 59
The tumor organismal environment: Role in tumor development and cancer immunotherapy
Dieterich, L. C., & Bikfalvi, A. (2019) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2019.12.021 · Cited by 61
“response to checkpoint inhibitor therapies in melanoma (97-101).”
BackgroundProgress Toward Identifying Exact Proxies for Predicting Response to Immunotherapies
Filipović, A., Miller, G., & Bolen, J. B. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2020.00155 · Cited by 60
Damuzzo, V., Solito, S., Pinton, L., Carrozzo, E., Valpione, S., Pigozzo, J., Arboretti, R., Chiarion‐Sileni, V., & Mandruzzato, S. (2016) · OncoImmunology · doi:10.1080/2162402x.2016.1249559 · Cited by 60
“describing the variations of the different MDSC subsets in response to ipilimumab.(18,19,23,24)”
BackgroundEmerging biomarkers for cancer immunotherapy in melanoma
Axelrod, M. L., Johnson, D. B., & Balko, J. M. (2017) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2017.09.004 · Cited by 58
Almawash, S. (2025) · Cancers · doi:10.3390/cancers17050880 · Cited by 69
Cabel, L., Loir, E., Gravis, G., Lavaud, P., Massard, C., Albiges, L. K., Baciarello, G., Loriot, Y., & Fizazi, K. S. (2017) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-017-0232-7 · Cited by 57
“In men with CRPC receiving ipilimumab, the number of blood PD-1 expressing CD4 T lymphocytes is associated with outcome [18, 19], although it is unknown whether this parameter is predictive of a treatment benefit.”
BackgroundNiwa, K., Kawakita, D., Nagao, T., Takahashi, H., Saotome, T., Okazaki, M., Yamazaki, K., Okamoto, I., Hirai, H., Saigusa, N., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-73965-6 · Cited by 55
Pro-Tumoral Inflammatory Myeloid Cells as Emerging Therapeutic Targets
Szebeni, G. J., Vízler, C., Nagy, L. I., Kitajka, K., & Puskás, L. G. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17111958 · Cited by 57
“1%, while there were no survivors among 65 patients with higher MDSC levels [173].”
BackgroundButner, J. D., Elganainy, D., Wang, C. X., Wang, Z., Chen, S., Esnaola, N. F., Pasqualini, R., Arap, W., Hong, D. S., Welsh, J. W., et al. (2020) · Science Advances · doi:10.1126/sciadv.aay6298 · Cited by 53
Arango-Argoty, G., Bikiel, D. E., Sun, G. J., Kipkogei, E., Smith, K. M., Pro, S. C., Choe, E. Y., & Jacob, E. (2025) · Cancer Cell · doi:10.1016/j.ccell.2025.03.029 · Cited by 61
Yao, L., Jia, G., Lu, L., Bao, Y., & Ma, W. (2020) · International Immunopharmacology · doi:10.1016/j.intimp.2020.106628 · Cited by 54
Biomarkers for Response to Immune Checkpoint Blockade
Ganesan, S., & Mehnert, J. (2020) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-030419-033604 · Cited by 51
Eosinophils in the Tumor Microenvironment
Mattei, F., Andreone, S., Marone, G., Gambardella, A. R., Loffredo, S., Varricchi, G., & Schiavoni, G. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-49270-0_1 · Cited by 53
Meirow, Y., & Baniyash, M. (2017) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-017-2035-6 · Cited by 54
“Others proposed that increased eosinophils and absolute lymphocyte count, along with low LDH, MDSCs, Tregs and related inflammatory factors as S100A8/A9 and HMGB1, can be used as novel, complex predictive markers for patients who may benefit from the ipilimumab therapy [20, 61].”
BackgroundWang, X., Zhang, B., Chen, X., Mo, H., Wu, D., Lan, B., Li, Q., Xu, B., & Huang, J. (2019) · Thoracic Cancer · doi:10.1111/1759-7714.13083 · Cited by 49
Immunotherapy-related biomarkers: Confirmations and uncertainties
Catalano, M., Iannone, L. F., Nesi, G., Nobili, S., Mini, E., & Roviello, G. (2023) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2023.104135 · Cited by 61
Zhang, H., Zhao, W., Li, X., & He, Y. (2021) · OncoTargets and Therapy · doi:10.2147/ott.s315998 · Cited by 49
Eosinophils and Lung Cancer: From Bench to Bedside
Sibille, A., Corhay, J.-L., Louis, R. E., Ninane, V., Jérusalem, G., & Duysinx, B. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23095066 · Cited by 48
Therapeutic prospects of targeting myeloid‐derived suppressor cells and immune checkpoints in cancer
Toor, S. M., & Elkord, E. (2018) · Immunology and Cell Biology · doi:10.1111/imcb.12054 · Cited by 48
“Moreover, there is no consensus among the scientific community on highly specific markers to identify human MDSC.”
BackgroundInfluentialTuo, Z., Zheng, X., Zong, Y., Li, J., Zou, C., Lv, Y., & Liu, J. (2020) · Clinical and Translational Medicine · doi:10.1002/ctm2.6 · Cited by 48
“Reportedly, high serum lactate dehydrogenase levels before and during treatment suggest that prognosis is not good.(13,14) The initial step of glycolysis operates in the presence of hexokinases (HKs).”
BackgroundSung, W., Grassberger, C., McNamara, A. L., Basler, L., Ehrbar, S., Tanadini‐Lang, S., Hong, T. S., & Paganetti, H. (2020) · Radiotherapy and Oncology · doi:10.1016/j.radonc.2020.07.025 · Cited by 53
de Coaña, Y. P., Wolodarski, M., Àvila, I. V. D. H., Nakajima, T., Rentouli, S., Lundqvist, A., Masucci, G. V., Hansson, J., & Kiessling, R. W. (2020) · OncoImmunology · doi:10.1080/2162402x.2020.1786888 · Cited by 48
“LDH activity has already been described as a predictor of survival in melanoma and correlated with tumor burden, OS and responses to ipilimumab and pembrolizumab.(2,13,14) In the present study, LDH levels were correlated with overall survival, but were not found to be significantly higher in patients with short PFS ti…”
BackgroundMoore, T. V., Wagner, C. R., Scurti, G. M., Hutchens, K. A., Godellas, C. V., Clark, A. L., Kolawole, E. M., Hellman, L. M., Singh, N. K., Huyke‐Hernández, F. A., et al. (2017) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-017-2073-0 · Cited by 48
Emerging Biomarkers in Cutaneous Melanoma
Eisenstein, A. S., Gonzalez, E. C., Raghunathan, R., Xu, X., Wu, M., McLean, E. O., McGee, J. S., Ryu, B., & Alani, R. M. (2018) · Molecular Diagnosis & Therapy · doi:10.1007/s40291-018-0318-z · Cited by 48
“Similarly, increased eosinophil count at baseline and through treatment with ipilimumab and pembrolizumab is associated with improved overall survival [204, 206, 210, 211].”
BackgroundCombination Immunotherapy Development in Melanoma
Eggermont, A. M. M., Crittenden, M. R., & Wargo, J. A. (2018) · American Society of Clinical Oncology Educational Book · doi:10.1200/edbk_201131 · Cited by 47
Duan, J., Wang, Y., & Jiao, S. (2018) · Cancer Medicine · doi:10.1002/cam4.1722 · Cited by 47
Du, Y., Peng, Q., Cheng, D., Pan, T. S., Sun, W., Wang, H., Ma, X., He, R.-R., Zhang, H., Cui, Z., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27936-8 · Cited by 48
Considerations for successful cancer immunotherapy in aged hosts
Hurez, V. J., Padron, A. S., Svatek, R. S., & Curiel, T. J. (2017) · Experimental Gerontology · doi:10.1016/j.exger.2017.10.002 · Cited by 46
“In 209 melanoma patients receiving αCTLA-4 immunotherapy, high Tregs (and also eosinophils and lymphocytes) correlated with better clinical outcomes (Martens et al., 2016a), but age was not specifically assessed as a variable.”
BackgroundInfluentialPrognostic biomarkers for immunotherapy with ipilimumab in metastatic melanoma
Nyakas, M., Aamdal, E., Jacobsen, K. D., Guren, T. K., Aamdal, S., Thorin‐Hagene, K., Brunsvig, P. F., Yndestad, A., Halvorsen, B. L., Taskén, K. A., et al. (2019) · Clinical & Experimental Immunology · doi:10.1111/cei.13283 · Cited by 46
Signorelli, D., Giannatempo, P., Grazia, G., Aiello, M. M., Bertolini, F., Mirabile, A., Buti, S., Vasile, E., Scotti, V., Pisapia, P., et al. (2019) · BioMed Research International · doi:10.1155/2019/9056417 · Cited by 47
Current status and future perspectives of immunotherapy in bladder cancer treatment
Wu, Z., Liu, J., Dai, R., & Wu, S. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1768-y · Cited by 45
“…have been associated with ipilimumab response in patients with melanoma, such as enhanced peripheral T cell levels, high absolute eosinophil counts, high peripheral FoxP3+ Treg numbers, and high CD4+/CD8+ lymphocyte counts (Martens et al., 2016; Simeone et al., 2014; van Dijk et al., 2019).”
BackgroundTumor resident regulatory T cells
Glasner, A., & Plitas, G. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2021.101476 · Cited by 47
Queirolo, P., Dozin, B., Morabito, A., Banelli, B., Piccioli, P., Fava, C., Leo, C., Carosio, R., Laurent, S., Fontana, V., et al. (2017) · Frontiers in Immunology · doi:10.3389/fimmu.2017.00386 · Cited by 43
“Age, years, at first IPI cycle (median, range) 58.9 (26.6–88.2) Gender Male 96 (55.5) Female 77 (44.5) Primary melanoma subtype Cutaneous 130 (75.1) Mucosal 17 (9.8) Ocular 14 (8.1) Missing 12 (6.9) ECOG performance status 0 113 (65.3) 1 51 (29.5) 2 9 (5.2) Serum LDH Normal level 65 (37.6) ≥Upper limit of normal 92 (5…”
BackgroundInfluentialSelf-citationParikh, K., Kumar, A., Ahmed, J., Anwar, A., Puccio, C. A., Chun, H. G., Fanucchi, M. P., & Lim, S. H. (2018) · Cancer Immunology Immunotherapy · doi:10.1007/s00262-018-2192-2 · Cited by 44
“Unlike patients with advanced melanoma in whom low baseline AMCs predicted for improved median survival after therapy with ipilimumab [22], pre-treatment AMCs did not correlate with DoR in our patients with mNSCLC.”
BackgroundThe Immune Endocannabinoid System of the Tumor Microenvironment
Kienzl, M., Kargl, J., & Schicho, R. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21238929 · Cited by 47
“It is, therefore, not surprising that increased frequencies of circulating MDSCs have been associated with poor disease prognosis in breast cancer melanoma patients [145].”
BackgroundRationale of Immunotherapy in Hepatocellular Carcinoma and Its Potential Biomarkers
Tai, D. W.-M., Choo, S. P., & Chew, V. (2019) · Cancers · doi:10.3390/cancers11121926 · Cited by 43
“Treg Flow cytometry Melanoma High baseline frequency [89], on-therapy increased [95] or decreased [96] in frequency of circulating Treg was associated with disease control upon ICB.”
BackgroundDevelopment of Anti-Mouse CC Chemokine Receptor 3 Monoclonal Antibodies for Flow Cytometry
Asano, T., Nanamiya, R., Takei, J., Nakamura, T., Yanaka, M., Hosono, H., Tanaka, T., Sano, M., Kaneko, M. K., & Kato, Y. (2021) · Monoclonal Antibodies in Immunodiagnosis and Immunotherapy · doi:10.1089/mab.2021.0009 · Cited by 43
Blood Predictive Biomarkers for Nivolumab in Advanced Melanoma
Chasseuil, E., Saint-Jean, M., Chasseuil, H., Peuvrel, L., Quereux, G., Nguyen, J., Gaultier, A., Varey, É., Khammari, A., & Dréno, B. (2018) · Acta Dermato Venereologica · doi:10.2340/00015555-2872 · Cited by 43
Self-citationLi, S., Zhang, C., Pang, G., & Wang, P. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.603157 · Cited by 43
“In contrast, several studies found that higher Treg cell counts at baseline was associated with better prognosis in patients receiving anti-PD-(L)1 therapy (50, 51).”
ResultFerrucci, P. F., Gandini, S., Cocorocchio, E., Pala, L., Baldini, F., Mosconi, M., Cappellini, G. C. A., Albertazzi, E., & Martinoli, C. (2017) · Oncotarget · doi:10.18632/oncotarget.19748 · Cited by 41
“Associations of absolute baseline eosinophil counts with outcome of patients receiving ipilimumab have been documented [11].”
BackgroundMethodSantegoets, S. J. A. M., de Groot, A. F., Dijkgraaf, E. M., Simões, A. M. C., van der Noord, V. E., van Ham, J. J., Welters, M. J. P., Kroep, J. R., & van der Burg, S. H. (2018) · OncoImmunology · doi:10.1080/2162402x.2018.1465166 · Cited by 44
Serum microRNA-based prediction of responsiveness to eribulin in metastatic breast cancer
Satomi, N., Shimomura, A., Matsuzaki, J., Yamamoto, Y., Kawauchi, J., Takizawa, S., Aoki, Y., Sakamoto, H., Kato, K., Shimizu, C., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0222024 · Cited by 42
“In other studies, peripheral blood factors, such as low serum lactate dehydrogenase and relative lymphocyte count, were shown to be associated with better outcomes for patients with melanoma treated with pembrolizumab or ipilimumab, a PD-1 monoclonal antibody and a CTLA4 monoclonal antibody, respectively [20, 21].”
BackgroundTucker, M. D., Brown, L. C., Chen, Y., Kao, C., Hirshman, N. A., Kinsey, E. N., Ancell, K. K., Beckermann, K. E., Davis, N. B., McAlister, R. K., et al. (2021) · Biomarker Research · doi:10.1186/s40364-021-00334-4 · Cited by 43
Development of Anti-Mouse CC Chemokine Receptor 8 Monoclonal Antibodies for Flow Cytometry
Tanaka, T., Nanamiya, R., Takei, J., Nakamura, T., Yanaka, M., Hosono, H., Sano, M., Asano, T., Kaneko, M. K., & Kato, Y. (2021) · Monoclonal Antibodies in Immunodiagnosis and Immunotherapy · doi:10.1089/mab.2021.0005 · Cited by 41
Svatoň, M., Zemanová, M., Skřičková, J., Jakubíková, L., Kolek, V., Kultan, J., Koubková, L., Bejčková, A., Salajka, F., Hrnčiarik, M., et al. (2018) · Anticancer Research · doi:10.21873/anticanres.13048 · Cited by 41
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
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