Profiling Preexisting Antibodies in Patients Treated With Anti–PD-1 Therapy for Advanced Non–Small Cell Lung Cancer
Open accessAbstract
Importance: Administration of anti-programmed cell death protein 1 (anti-PD-1) is now standard therapy in advanced non-small cell lung cancer (NSCLC). However, immune checkpoint inhibitors, including anti-PD-1, have not been assessed in patients with subclinical disease with advanced NSCLC, and no useful clinical biomarkers have been associated with immune-related adverse events (irAEs) among these patients treated with anti-PD-1. Objective: To assess the safety and efficacy of anti-PD-1 treatment in patients with subclinical disease with advanced NSCLC and with or without preexisting autoimmune markers, including rheumatoid factor, antinuclear antibody, antithyroglobulin, and antithyroid peroxidase; and to assess potential clinical biomarkers that may be meaningfully and conveniently associated with clinical benefit or with irAEs following anti-PD-1 treatment. Design, Setting, and Participants: This medical records analysis retrospectively evaluated 137 patients who received nivolumab or pembrolizumab monotherapy at Sendai Kousei Hospital in Japan between January 2016 and January 2018. Treatment efficacy and irAEs were evaluated along with candidate factors that may be associated with irAEs. Exposures: Absence or presence of specific autoimmune markers and antibodies before treatment. Main Outcomes and Measures: Preexisting antibodies and autoimmune markers, progression-free survival (PFS), and irAEs. Results: Of 137 patients with advanced NSCLC, 105 were men, the median age was 68 (range, 36-88) years, 99 underwent nivolumab monotherapy, 38 underwent pembrolizumab monotherapy, and 134 had an Eastern Cooperative Oncology Group performance status of 0 or 1. The median PFS was 6.5 (95% CI, 4.4-12.9) months among patients with examined preexisting antibodies and 3.5 (95% CI, 2.4-4.1) months among patients without, suggesting significantly better prognosis in the former. The hazard ratio for disease progression or death in the presence of the examined preexisting antibodies was 0.53 (95% CI, 0.36-0.79; P = .002). The PFS was significantly longer among patients with any preexisting antibodies than among those without. The examined preexisting antibodies (48 patients [73%]) and rheumatoid factor (26 patients [39%]) were more common among patients who developed irAEs. Multivariate analysis indicated that the presence of the examined preexisting antibodies was independently associated with irAEs (odds ratio, 3.25; 95% CI, 1.59-6.65; P = .001). Skin reactions were more frequent among patients with preexisting rheumatoid factor (47% vs 24%, P = .02), whereas thyroid dysfunction was more frequent among patients with preexisting antithyroid antibodies (20% vs 1%, P < .001). Conclusions and Relevance: The presence of the examined preexisting antibodies was associated with clinical benefit and with the development of irAEs in patients with NSCLC treated with nivolumab or pembrolizumab. Thus, the presence of these autoimmune markers may help determine the risk-benefit ratio for individual patients with NSCLC, maximizing therapeutic benefits while minimizing irAEs.
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Pituitary glands expressed CTLA-4 in a subset of cells, which were targets for CTLA-4 antibody binding and resulted in complement deposition.
“pituitary glands expressed CTLA-4 in a subset of these cells, which were targets for CTLA-4 antibody binding, and resulted in complement deposition.”
From Endocrine toxicities of immune checkpoint inhibitors (2021) · cites this paper as [59]
A mouse model of hypophysitis induced by repeated anti-CTLA-4 injections resulted in lymphocytic infiltration into the pituitary gland and circulating anti-pituitary autoantibodies specific to thyrotropin-, gonadotropin-, and corticotropin-secreting cells.
“A mouse model of hypophysitis (induced by repeated injections of anti-CTLA-4 into C57BL/6 mice) resulted in lymphocytic infiltration into the pituitary gland and circulating anti-pituitary autoantibodies specific to thyrotropin-, gonadotropin-, and corticocotropin secreting cells.59”
From Endocrine toxicities of immune checkpoint inhibitors (2021) · cites this paper as [59]
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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 · see citing works
New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1)
Eisenhauer, E. A., Therasse, P., Bogaerts, J., Schwartz, L. H., Sargent, D., Ford, R., Dancey, J., Arbuck, S., Gwyther, S., Mooney, M., et al. (2009) · European Journal of Cancer · doi:10.1016/j.ejca.2008.10.026 · Cited by 29,534 · see citing works
Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics
Kanda, Y. (2012) · Bone Marrow Transplantation · doi:10.1038/bmt.2012.244 · Cited by 18,876 · see citing works
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 15,314 · see citing works
Pembrolizumab versus Chemotherapy for PD-L1-Positive Non-Small-Cell Lung Cancer
Reck, M., Rodríguez-Abreu, D., Robinson, A. G., Hui, R., Csőszi, T., Fülöp, A., Gottfried, M., Peled, N., Tafreshi, A., Cuffe, S., et al. (2016) · New England Journal of Medicine · doi:10.1056/nejmoa1606774 · Cited by 10,089 · see citing works
Aletaha, D., Neogi, T., Silman, A. J., Funovits, J., Felson, D. T., Bingham, C. O., Birnbaum, N. S., Burmester, G. R., Bykerk, V. P., Cohen, M. D., et al. (2010) · Arthritis & Rheumatism · doi:10.1002/art.27584 · Cited by 9,631 · see citing works
Nivolumab versus docetaxel in advanced nonsquamous non-small-cell lung cancer
Borghaei, H., Paz-Ares, L., Horn, L., Spigel, D. R., Steins, M., Ready, N. E., Chow, L. Q., Vokes, E. E., Felip, E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1507643 · Cited by 9,335 · see citing works
Nivolumab versus Docetaxel in Advanced Squamous-Cell Non–Small-Cell Lung Cancer
Brahmer, J., Reckamp, K. L., Baas, P., Crinò, L., Eberhardt, W. E. E., Poddubskaya, E., Antonia, S., Pluzanski, A., Vokes, E. E., Holgado, E., et al. (2015) · New England Journal of Medicine · doi:10.1056/nejmoa1504627 · Cited by 8,447 · see citing works
Herbst, R. S., Baas, P., Kim, D.-W., Felip, E., Pérez-Gracia, J. L., Han, J.-Y., Molina, J., Kim, J.-H., Arvis, C. D., Ahn, M.-J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(15)01281-7 · Cited by 6,449 · see citing works
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 · see citing works
Hollowell, J. G., Staehling, N. W., Flanders, W. D., Hannon, W. H., Gunter, E. W., Spencer, C. A., & Braverman, L. E. (2002) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.87.2.489 · Cited by 4,279 · see citing works
Ishida, Y., Agata, Y., Shibahara, K., & Honjo, T. (1992) · The EMBO Journal · doi:10.1002/j.1460-2075.1992.tb05481.x · Cited by 3,259 · see citing works
Nishimura, H., Nose, M., Hiai, H., Minato, N., & Honjo, T. (1999) · Immunity · doi:10.1016/s1074-7613(00)80089-8 · Cited by 2,749 · see citing works
CTLA-4 and PD-1 Receptors Inhibit T-Cell Activation by Distinct Mechanisms
Parry, R. V., Chemnitz, J. M., Frauwirth, K. A., Lanfranco, A. R., Braunstein, I., Kobayashi, S. V., Linsley, P. S., Thompson, C. B., & Riley, J. L. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.21.9543-9553.2005 · Cited by 1,931 · see citing works
Predictive biomarkers for checkpoint inhibitor-based immunotherapy
Gibney, G. T., Weiner, L. M., & Atkins, M. B. (2016) · The Lancet Oncology · doi:10.1016/s1470-2045(16)30406-5 · Cited by 1,635 · see citing works
Management of Immune-Related Adverse Events and Kinetics of Response With Ipilimumab
Weber, J. S., Kähler, K. C., & Hauschild, A. (2012) · Journal of Clinical Oncology · doi:10.1200/jco.2012.41.6750 · Cited by 1,415 · see citing works
Association of Pembrolizumab With Tumor Response and Survival Among Patients With Advanced Melanoma
Ribas, A., Hamid, O., Daud, A., Hodi, F. S., Wolchok, J. D., Kefford, R., Joshua, A. M., Patnaik, A., Hwu, W.-J., Weber, J. S., et al. (2016) · JAMA · doi:10.1001/jama.2016.4059 · Cited by 1,069 · see citing works
Association of Immune-Related Adverse Events With Nivolumab Efficacy in Non–Small-Cell Lung Cancer
Haratani, K., Hayashi, H., Chiba, Y., Kudo, K., Yonesaka, K., Kato, R., Kaneda, H., Hasegawa, Y., Tanaka, K., Takeda, M., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2017.2925 · Cited by 1,003 · see citing works
Management of immune checkpoint blockade dysimmune toxicities: a collaborative position paper
Champiat, S., Lambotte, O., Barreau, E., Belkhir, R., Berdelou, A., Carbonnel, F., Cauquil, C., Chanson, P., Collins, M., Durrbach, A., et al. (2016) · Annals of Oncology · doi:10.1093/annonc/mdv623 · Cited by 903 · see citing works
Freeman-Keller, M., Kim, Y., Cronin, H., Richards, A., Gibney, G., & Weber, J. S. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-1136 · Cited by 863 · see citing works
Menzies, A. M., Johnson, D. B., Ramanujam, S., Atkinson, V. G., Wong, A. N. M., Park, J. J., McQuade, J. L., Shoushtari, A. N., Tsai, K. K., Eroglu, Z., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdw443 · Cited by 817 · see citing works
Hellström (2019) · doi:10.21037/atm · Cited by 798 · see citing works
Enhancing SIV-specific immunity in vivo by PD-1 blockade
Velu, V., Titanji, K., Zhu, B., Husain, S., Pladevega, A., Lai, L., Vanderford, T. H., Chennareddi, L. S., Silvestri, G., Freeman, G. J., et al. (2008) · Nature · doi:10.1038/nature07662 · Cited by 765 · see citing works
Okazaki, T., Tanaka, Y., Nishio, R., Mitsuiye, T., Mizoguchi, A., Wang, J., Ishida, M., Hiai, H., Matsumori, A., Minato, N., et al. (2003) · Nature Medicine · doi:10.1038/nm955 · Cited by 689 · see citing works
Osorio, J. C., Ni, A., Chaft, J. E., Pollina, R., Kasler, M. K., Stephens, D., Rodriguez, C., Cambridge, L., Rizvi, H., Wolchok, J. D., et al. (2017) · Annals of Oncology · doi:10.1093/annonc/mdw640 · Cited by 659 · see citing works
Ipilimumab Therapy in Patients With Advanced Melanoma and Preexisting Autoimmune Disorders
Johnson, D. B., Sullivan, R. J., Ott, P. A., Carlino, M. S., Khushalani, N. I., Ye, F., Guminski, A., Puzanov, I., Lawrence, D. P., Buchbinder, E. I., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2015.4368 · Cited by 642 · see citing works
The receptor PD-1 controls follicular regulatory T cells in the lymph nodes and blood
Sage, P. T., Francisco, L. M., Carman, C. V., & Sharpe, A. H. (2012) · Nature Immunology · doi:10.1038/ni.2496 · Cited by 469 · see citing works
The Inhibitory Receptor PD-1 Regulates IgA Selection and Bacterial Composition in the Gut
Kawamoto, S., Tran, T. H., Maruya, M., Suzuki, K., Doi, Y., Tsutsui, Y., Kato, L. M., & Fagarasan, S. (2012) · Science · doi:10.1126/science.1217718 · Cited by 451 · see citing works
Self-citationTarhini, A. A., Zahoor, H., Lin, Y., Malhotra, U., Sander, C., Butterfield, L. H., & Kirkwood, J. M. (2015) · Journal for ImmunoTherapy of Cancer · doi:10.1186/s40425-015-0081-1 · Cited by 394 · see citing works
Nivolumab-related myasthenia gravis with myositis and myocarditis in Japan
Suzuki, S., Ishikawa, N., Konoeda, F., Seki, N., Fukushima, S., Takahashi, K., Uhara, H., Hasegawa, Y., Inomata, S., Otani, Y., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004359 · Cited by 393 · see citing works
PD-1 is a novel regulator of human B-cell activation
Thibult, M.-L., Mamessier, E., Gertner-Dardenne, J., Pastor, S., Just-Landi, S., Xerri, L., Chetaille, B., & Olive, D. (2013) · International Immunology · doi:10.1093/intimm/dxs098 · Cited by 365 · see citing works
Leonardi, G. C., Gainor, J. F., Altan, M., Kravets, S., Dahlberg, S. E., Gedmintas, L., Azimi, R., Rizvi, H., Riess, J. W., Hellmann, M. D., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.77.0305 · Cited by 341 · see citing works
Danlos, F.-X., Voisin, A.-L., Dyevre, V., Michot, J.-M., Routier, E., Taillade, L., Champiat, S., Aspeslagh, S., Haroche, J., Albiges, L., et al. (2018) · European Journal of Cancer · doi:10.1016/j.ejca.2017.12.008 · Cited by 300 · see citing works
Toi, Y., Sugawara, S., Kawashima, Y., Aiba, T., Kawana, S., Saito, R., Tsurumi, K., Suzuki, K., Shimizu, H., Sugisaka, J., et al. (2018) · The Oncologist · doi:10.1634/theoncologist.2017-0384 · Cited by 294 · see citing works
Self-citationBennett, F., Luxenberg, D. P., Ling, V., Wang, I., Marquette, K., Lowe, D., Khan, N., Veldman, G. M., Jacobs, K. A., Valge-archer, V. E., et al. (2003) · The Journal of Immunology · doi:10.4049/jimmunol.170.2.711 · Cited by 283 · see citing works
Williams, T. J., Benavides, D. R., Patrice, K.-A., Dalmau, J. O., Avila, A., Le, D. T., Lipson, E. J., Probasco, J. C., & Mowry, E. M. (2016) · JAMA Neurology · doi:10.1001/jamaneurol.2016.1399 · Cited by 279 · see citing works
The rheumatoid factor: An analysis of clinical utility
Shmerling, R. H., & Delbanco, T. L. (1991) · The American Journal of Medicine · doi:10.1016/0002-9343(91)90190-9 · Cited by 234 · see citing works
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 · see citing works
Predictors of responses to immune checkpoint blockade in advanced melanoma
Jacquelot, N., Roberti, M. P., Enot, D. P., Rusakiewicz, S., Ternès, N., Jegou, S., Woods, D. M., Sodré, A. L., Hansen, M., Meirow, Y., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00608-2 · Cited by 196 · see citing works
Shahabi, V., Berman, D., Chasalow, S. D., Wang, L., Tsuchihashi, Z., Hu, B., Panting, L., Jure‐Kunkel, M., & Ji, R. (2013) · Journal of Translational Medicine · doi:10.1186/1479-5876-11-75 · Cited by 182 · see citing works
Biomarkers associated with checkpoint inhibitors
Manson, G., Norwood, J., Marabelle, A., Kohrt, H. E. K., & Houot, R. (2016) · Annals of Oncology · doi:10.1093/annonc/mdw181 · Cited by 164 · see citing works
2010 rheumatoid arthritis classification criteria
Initiative, C. (2010) · Arthritis & Rheumatism · doi:10.14961/cra.23.339 · Cited by 161 · see citing works
Toxicity management of immunotherapy for patients with metastatic melanoma
Linardou, H., & Gogas, H. J. (2016) · Annals of Translational Medicine · doi:10.21037/atm.2016.07.10 · Cited by 110 · see citing works
High Prevalence of Antinuclear Antibodies in Children with Thyroid Autoimmunity
Segni, M., Pucarelli, I., Truglia, S., et al. (2014) · Journal of Immunology Research · doi:10.1155/2014/150239 · Cited by 28 · see citing works
Immunofluorscense - still the 'gold standard' in ANA testing?
Shunichi Kumagai, N. H. (2001) · Scandinavian Journal of Clinical and Laboratory Investigation · doi:10.1080/003655101753352086 · Cited by 12 · see citing works
Alexander, W. R. M. (2014) · Res Medica · doi:10.2218/resmedica.v6i1.829 · Cited by 4 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Bennett F, Luxenberg D, Ling V, et al. Program death-1 engagement upon TCR activation has distinct effects on costimulation and cytokine-driven proliferation. J Immunol. 2003;170 (2):711-718.
- Eisenhauer EA, Therasse P, Bogaerts J, et al. New response evaluation criteria in solid tumours. Eur J Cancer. 2009;45(2):228-247.
- Freeman-Keller M, Kim Y, Cronin H, Richards A, Gibney G, Weber JS. Nivolumab in resected and unresectable metastatic melanoma. Clin Cancer Res. 2016;22(4):886-894.
- Champiat S, Lambotte O, Barreau E, et al. Management of immune checkpoint blockade dysimmune toxicities. Ann Oncol. 2016;27(4): 559-574.
- Hollowell JG, Staehling NW, Flanders WD, et al. Serum TSH, T(4), and thyroid antibodies in the United States population (1988 to 1994). J Clin Endocrinol Metab. 2002;87(2):489-499.
Cited by
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Wright, J. J., Powers, A. C., & Johnson, D. B. (2021) · Nature Reviews Endocrinology · doi:10.1038/s41574-021-00484-3 · Cited by 441 · see citing works
Matsuoka, H., Hayashi, T., Takigami, K., Imaizumi, K., Shiroki, R., Ohmiya, N., Sugiura, K., Kawada, K., Sawaki, A., Maeda, K., et al. (2020) · BMC Cancer · doi:10.1186/s12885-020-07142-3 · Cited by 81 · see citing works
Immunotherapy to treat malignancy in patients with pre-existing autoimmunity
Boland, P., Pavlick, A. C., Weber, J., & Sandigursky, S. (2020) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2019-000356 · Cited by 50 · see citing works
- Authors
- Toi, Y., Sugawara, S., Sugisaka, J., Ono, H., Kawashima, Y., Aiba, T., Kawana, S., Saito, R., Aso, M., Tsurumi, K., Suzuki, K., Shimizu, H., Domeki, Y., Terayama, K., Nakamura, A., Yamanda, S., Kimura, Y., & Honda, Y.
- Affiliations
- Sendai Kousei Hospital (JP)
- Department of Pulmonary Medicine, Sendai Kousei Hospital, Aoba-ku, Sendai, Miyagi, Japan
- Corresponding author
- Sugawara, Shunichi
- ORCID
- Venue
- JAMA Oncology
- Publisher
- American Medical Association (AMA)
- Published
- 2019-03-01
- Volume
- 5
- Issue
- 3
- Pages
- 376
- ISSN
- 2374-2437 (ISSN-L)
- PMC
- PMC6439838
- OpenAlex
- W2908431216
- Cited by
- 352
- References
- 46
- Citations by year
- 2026: 18 · 2025: 35 · 2024: 57 · 2023: 54 · 2022: 65 · 2021: 60 · 2020: 39 · 2019: 24
- FWCI
- 11.54
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- JAMA Oncology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Treatments and Mutations
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
- Keywords
- pre-existing antibodies, anti-PD-1 therapy, immune checkpoint inhibitors, advanced non-small cell lung cancer, immune-related adverse events, nivolumab, pembrolizumab, autoimmune markers, rheumatoid factor, antinuclear antibodies, progression-free survival, biomarkers, subclinical disease, treatment safety
- MeSH terms
- Antineoplastic Agents, Immunological, Nivolumab, Progression-Free Survival, Adult, Aged, Aged, 80 and over, Autoantibodies, Carcinoma, Non-Small-Cell Lung, Female, Humans, Lung Neoplasms, Male, Middle Aged, Retrospective Studies, Time Factors, Autoimmunity, Programmed Cell Death 1 Receptor, Antibodies, Monoclonal, Humanized
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