Go to JCI Insight
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
  • Clinical Research and Public Health
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Gastroenterology
    • Immunology
    • Metabolism
    • Nephrology
    • Neuroscience
    • Oncology
    • Pulmonology
    • Vascular biology
    • All ...
  • Videos
    • Conversations with Giants in Medicine
    • Video Abstracts
  • Reviews
    • View all reviews ...
    • Complement Biology and Therapeutics (May 2025)
    • Evolving insights into MASLD and MASH pathogenesis and treatment (Apr 2025)
    • Microbiome in Health and Disease (Feb 2025)
    • Substance Use Disorders (Oct 2024)
    • Clonal Hematopoiesis (Oct 2024)
    • Sex Differences in Medicine (Sep 2024)
    • Vascular Malformations (Apr 2024)
    • View all review series ...
  • Viewpoint
  • Collections
    • In-Press Preview
    • Clinical Research and Public Health
    • Research Letters
    • Letters to the Editor
    • Editorials
    • Commentaries
    • Editor's notes
    • Reviews
    • Viewpoints
    • 100th anniversary
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • Reviews
  • Review series
  • Conversations with Giants in Medicine
  • Video Abstracts
  • In-Press Preview
  • Clinical Research and Public Health
  • Research Letters
  • Letters to the Editor
  • Editorials
  • Commentaries
  • Editor's notes
  • Reviews
  • Viewpoints
  • 100th anniversary
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Advertising
  • Job board
  • Contact
Top
  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal
  • Top
  • Abstract
  • Checkpoint blockade therapy: the good, the bad, and the toxic
  • Circulating B cell abundance correlates with IRAE risk
  • Clinical implications and future directions
  • Acknowledgments
  • Footnotes
  • References
  • Version history
  • Article usage
  • Citations to this article

Advertisement

Commentary Free access | 10.1172/JCI99036

B cells as biomarkers: predicting immune checkpoint therapy adverse events

Shannon M. Liudahl and Lisa M. Coussens

Department of Cell, Developmental and Cancer Biology and the Knight Cancer Institute, Oregon Health and Science University (OHSU), Portland, Oregon, USA.

Address correspondence to: Lisa M. Coussens, Department of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, Oregon 97239-3098, USA. Phone: 503.494.7811; Email: coussenl@ohsu.edu.

Find articles by Liudahl, S. in: PubMed | Google Scholar

Department of Cell, Developmental and Cancer Biology and the Knight Cancer Institute, Oregon Health and Science University (OHSU), Portland, Oregon, USA.

Address correspondence to: Lisa M. Coussens, Department of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, Oregon 97239-3098, USA. Phone: 503.494.7811; Email: coussenl@ohsu.edu.

Find articles by Coussens, L. in: PubMed | Google Scholar

Published January 8, 2018 - More info

Published in Volume 128, Issue 2 on February 1, 2018
J Clin Invest. 2018;128(2):577–579. https://doi.org/10.1172/JCI99036.
Copyright © 2018, American Society for Clinical Investigation
Published January 8, 2018 - Version history
View PDF

Related article:

Early B cell changes predict autoimmunity following combination immune checkpoint blockade
Rituparna Das, … , Madhav V. Dhodapkar, Kavita M. Dhodapkar
Rituparna Das, … , Madhav V. Dhodapkar, Kavita M. Dhodapkar
Concise Communication Immunology Oncology

Early B cell changes predict autoimmunity following combination immune checkpoint blockade

  • Text
  • PDF
Abstract

Combination checkpoint blockade (CCB) targeting inhibitory CTLA4 and PD1 receptors holds promise for cancer therapy. Immune-related adverse events (IRAEs) remain a major obstacle for the optimal application of CCB in cancer. Here, we analyzed B cell changes in patients with melanoma following treatment with either anti-CTLA4 or anti-PD1, or in combination. CCB therapy led to changes in circulating B cells that were detectable after the first cycle of therapy and characterized by a decline in circulating B cells and an increase in CD21lo B cells and plasmablasts. PD1 expression was higher in the CD21lo B cells, and B cell receptor sequencing of these cells demonstrated greater clonality and a higher frequency of clones compared with CD21hi cells. CCB induced proliferation in the CD21lo compartment, and single-cell RNA sequencing identified B cell activation in cells with genomic profiles of CD21lo B cells in vivo. Increased clonality of circulating B cells following CCB occurred in some patients. Treatment-induced changes in B cells preceded and correlated with both the frequency and timing of IRAEs. Patients with early B cell changes experienced higher rates of grade 3 or higher IRAEs 6 months after CCB. Thus, early changes in B cells following CCB may identify patients who are at increased risk of IRAEs, and preemptive strategies targeting B cells may reduce toxicities in these patients.

Authors

Rituparna Das, Noffar Bar, Michelle Ferreira, Aaron M. Newman, Lin Zhang, Jithendra Kini Bailur, Antonella Bacchiocchi, Harriet Kluger, Wei Wei, Ruth Halaban, Mario Sznol, Madhav V. Dhodapkar, Kavita M. Dhodapkar

×

Abstract

Immune checkpoint inhibitors are becoming a cornerstone of cancer immunotherapy as a result of their clinical success in relieving immune suppression and driving durable antitumor T cell responses in certain subsets of patients. Unfortunately, checkpoint inhibition is also associated with treatment-related toxicities that result in a myriad of side effects, ranging from mild and manageable to severe and debilitating. In this issue of the JCI, Das and colleagues report an association between early therapy-induced changes in circulating B cells and an increased risk of high-grade immune-related adverse events (IRAEs) in patients treated with checkpoint inhibitors that target cytotoxic T lymphocyte–associated antigen-4 (CTLA4) and programmed cell death protein 1 (PD1). These findings identify potential predictive biomarkers for high-grade IRAEs that may be leveraged to improve patient monitoring and may prompt new treatment strategies to prevent IRAEs.

Checkpoint blockade therapy: the good, the bad, and the toxic

FDA approval of the use of immune checkpoint inhibitors for melanoma, head and neck cancer, non–small-cell lung cancer, urothelial carcinoma, and renal cell carcinoma has transformed clinical oncology within the past decade, and this class of therapies continues to undergo extensive evaluation for the treatment of a broad spectrum of additional tumor types. The principal goal of checkpoint inhibition is to bolster CD8+ T cell cytotoxic effector function by relieving inhibitory brakes that, while critical for maintaining self-tolerance, prevent optimal T cell activation in response to malignancy (1). The substantial promise of checkpoint inhibition is reflected in the improved survival outcomes observed in the CheckMate 067 clinical trial (ClinicalTrials.gov NCT01844505) that evaluated combination treatment with ipilimumab, an anti-cytotoxic T lymphocyte–associated antigen-4–targeted (CTLA4-targeted) mAb, and nivolumab, a mAb targeting programmed cell death protein 1 (PD1), in patients with previously untreated advanced melanoma (2). Patients who received combination therapy or nivolumab monotherapy had three-year overall survival rates of 58% and 52%, respectively, with 19% of patients in the combination arm showing complete responses (2).

Despite the undeniable clinical success of anti-CTLA4 and anti-PD1 mAb therapy thus far, especially in highly immunogenic cancers such as melanoma, several challenges remain. A current paucity of biomarkers limits the ability to predict who will respond to these immune therapies (3) and, importantly, who will develop treatment-related autoimmune toxicity, which is a serious concern for the majority of treated patients. Such toxicities, known as immune-related adverse events (IRAEs), vary in severity and in the organ systems affected. Patients receiving checkpoint inhibitors have a significantly higher risk of developing IRAEs than do patients receiving other forms of therapy, and combined anti-CTLA4 and anti-PD1 mAb therapy leads to a higher incidence of all-grade and high-grade (grade ≥3) IRAEs than does either agent alone (2, 4–6).

IRAEs associated with anti-CTLA4 and anti-PD1 mAb therapy most commonly impact the skin, gastrointestinal, and endocrine systems and manifest as a variety of conditions, such as rash, pruritus, vitiligo, diarrhea, colitis, and thyroid dysregulation (7). Although IRAE symptoms are usually manageable and reversible, they frequently result in either treatment interruption or dose reduction and/or discontinuation of checkpoint therapy. As an example of the prevalence and challenge of IRAEs, 96% of patients in the ipilimumab and nivolumab combination arm of the CheckMate 067 trial experienced at least one IRAE (any grade), with 30% of these patients discontinuing treatment as a direct consequence of their IRAEs (2). Although it has been reported that neither IRAE management with immune-suppressive corticosteroids nor discontinuation of therapy because of IRAEs markedly interferes with a durable clinical response to anti-CTLA4 and anti-PD1 mAbs (2, 8), strategies to reduce patient morbidity stemming from IRAEs are desirable. Unfortunately, the specific immune mechanism(s) that drive IRAEs are unclear, and clinical strategies to predict and prevent high-grade IRAEs are lacking.

Circulating B cell abundance correlates with IRAE risk

T and B lymphocytes are critical mediators of autoimmunity and are thus implicated in IRAE pathogenesis. Recent studies have revealed that changes in circulating T cell repertoires in ipilimumab-treated patients preceded the development of IRAEs (9, 10). While changes in T cell genomic signatures in patients undergoing anti-CTLA4 and anti-PD1 mAb treatment have also been identified (11), changes in B cells during checkpoint inhibition have not been previously reported.

In this issue, Das et al. analyzed circulating B cells in a small cohort of patients with advanced melanoma before and after treatment with anti-CTLA4 and anti-PD1 mAbs, administered as single agents or in combination (12). They found that a reduction in total peripheral B cells after a single cycle of combined checkpoint blockade (CCB) coincided with enrichment of plasmablasts and a proliferative CD21lo PD1+ memory B cell subset. Single-cell RNA sequencing of CD21lo PD1+ B cells collected from a patient prior to and after CCB revealed increased transcription of genes associated with cell activation and inflammatory cytokine production following treatment. CD21lo B cells also expressed lower levels of the lymphoid tissue–homing chemokine receptors CXCR4 and CXCR5 as compared with CD21hi B cells, indicating that CD21lo cells may have a greater capacity to traffic to nonlymphoid tissues and contribute to inflammatory processes that may mediate autoimmunity.

Given these findings, Das et al. developed a metric to evaluate whether changes in the frequency of circulating B cells in CCB-treated patients correlated with an increased risk or severity of IRAEs. Using this metric, the authors found that patients with a 30% or greater reduction in baseline levels of total circulating B cells and a two-fold or greater increase in CD21lo B cells or plasmablasts were significantly more likely to develop high-grade IRAEs than were patients without B cell changes (Figure 1). Moreover, early changes in circulating B cells after only one round of CCB correlated with a median time of three weeks to IRAE onset. Importantly, changes in the frequency of other circulating immune cell populations, including T cells, before and after therapy did not correlate with the development of IRAEs.

Changes in circulating B cells predict IRAE risk in patients receiving combFigure 1

Changes in circulating B cells predict IRAE risk in patients receiving combined anti-CTLA4 and anti-PD1 therapy. Patients showing changes in circulating B cells after one cycle of combination anti-CTLA4 and anti-PD1 therapy (compared with their pretreatment baseline) have an increased risk of developing high-grade IRAEs. Specifically, a post-treatment reduction in total peripheral B cells and a coincident enrichment of differentiated CD21lo PD1+ memory B cells and plasmablasts correlate with subsequent IRAE development. B cell changes are a unique immune biomarker of IRAE risk, as early changes in the frequency of other circulating leukocyte populations were not detected after therapy (data not shown). Select high-grade IRAE pathologies associated with combined anti-CTLA4 and anti-PD1 mAb therapy are depicted, and patients who showed B cell changes had a median three-week time to onset of one or more such IRAEs.

Clinical implications and future directions

Together, findings from Das and colleagues indicate that changes in circulating B cells may be useful predictors of IRAE risk (12). Clinical application of B cell monitoring could lead to earlier IRAE intervention and reduced IRAE severity, both of which would ideally translate to a reduced discontinuation of checkpoint therapy. The sample size in this study was limited, thus, a critical next step will be to determine the robustness of the proposed B cell signature in expanded patient cohorts. Significant changes in both total B cell frequency and the frequency of CD21lo B cells or plasmablasts were only observed in the CCB group, indicating that patients undergoing combination therapy may preferentially benefit from B cell monitoring. However, future evaluation of larger cohorts will reveal whether subsets of patients receiving monotherapy undergo similar B cell changes equally predictive of IRAE risk. It will also be necessary to determine whether changes in circulating B cells occur specifically in melanoma, or whether this signature is also detectable in patients with other tumor types.

The mechanistic contribution of B cells to IRAEs also remains unclear. While the B cell changes observed in CCB-treated patients did not correlate with the clinical response to therapy (12), it remains to be determined whether and how B cells directly mediate IRAEs. B cell receptor (BCR) sequencing of total B cells revealed post-therapy clonal expansion in a subset of patients in the CCB and monotherapy groups, but this did not correlate with the expansion of a single dominant clone, thus arguing against B cell–mediated autoreactivity against a discrete self-antigen (12). Additional studies will be required to determine the functional relevance of CD21lo memory B cells and plasmablasts in IRAE pathogenesis.

Despite the outstanding questions regarding specific B cell mechanisms in IRAEs, B cell monitoring represents a relatively simple, noninvasive clinical biomarker assessment strategy that could also yield preventative benefits. Circulating biomarkers for treatment-related toxicities in other forms of immunotherapy have recently been identified and are poised to have clinical impact. For example, in cancer patients receiving chimeric antigen receptor T cell (CAR–T cell) therapy, early elevation of specific serum cytokines and other soluble factors, including IFN-γ, MIP1α, IL-6, and soluble gp130 (sgp130), precedes the development of severe cytokine release syndrome (CRS) (13, 14). Use of the IL-6 receptor (IL-6R) inhibitor tocilizumab is now approved for the treatment of severe CRS in CAR–T cell recipients, and the identification of circulating biomarkers that predict CRS may lead to prophylactic administration of tocilizumab or other cytokine inhibitors in patients who have markers associated with increased risk. Similarly, B cell changes as a biomarker for IRAEs in checkpoint inhibition therapy could lead to new preventative strategies. Along these lines, Das and colleagues suggest the potential utility of B cell–targeted therapies as a preventative measure against IRAEs. This idea is compelling, especially given the clinical success of B cell–depleting antibodies and inhibitors of Bruton’s tyrosine kinase (BTK), an essential kinase for B cell maturation and signaling, for treating autoimmune diseases (15) and graft-versus-host disease (16).

It is likely that, in addition to reducing the risk of IRAEs, B cell depletion or BTK inhibition may also enhance the antitumor efficacy of checkpoint inhibitors, at least in some settings. The role of B cells in melanoma progression is controversial, as both pro- and antitumor B cell functions have been reported (17); however, the results from the use of B cell depletion in a small cohort of melanoma patients appear promising (18). Recent studies of other solid tumors have identified various B cell subsets as critical protumoral mediators of malignancy (19–25), and the enriched B cell populations identified by Das and colleagues may share similar functional properties. If so, these findings would support B cell depletion or BTK inhibition along with checkpoint inhibition as an appealing strategy to further explore. In fact, a clinical trial involving patients with head and neck squamous cell carcinoma is currently evaluating this approach (ClinicalTrials.gov NCT02454179). Time will tell whether such combinations simultaneously enhance antitumor immunity, limit IRAEs, and improve clinical outcomes. What is clear for now is that, although T cell responses are often the main focus of immunotherapy, B cells should not be overlooked.

Acknowledgments

The authors acknowledge support from a Department of Defense (DOD) Breast Cancer Research Program (BCRP) Era of Hope Scholar Expansion Award (W81XWH-08-PRMRP-IIRA); the Susan G. Komen Foundation (KG110560); the Breast Cancer Research Foundation; a Stand Up to Cancer – Lustgarten Foundation Pancreatic Cancer Convergence Dream Team Translational Research Award; the OHSU Brenden-Colson Center for Pancreatic Care; and the OHSU Knight Cancer Institute.

Address correspondence to: Lisa M. Coussens, Department of Cell, Developmental & Cancer Biology, Knight Cancer Institute, Oregon Health & Science University, 3181 SW Sam Jackson Park Road, Portland, Oregon 97239-3098, USA. Phone: 503.494.7811; Email: coussenl@ohsu.edu.

Footnotes

Conflict of interest: L.M. Coussens is a member of the External Advisory Board for Syndax Pharmaceuticals Inc., has sponsored research agreements with Deciphera Pharmaceuticals Inc., Syndax Pharmaceuticals Inc., Acerta Pharma BV, and Roche Glycart AG, and has filed for patent protection under US Patent Publication numbers 2008-0206219, 2010-276324, and 2017-0160171.

Reference information: J Clin Invest. 2018;128(2):577–579. https://doi.org/10.1172/JCI99036.

See the related article at Early B cell changes predict autoimmunity following combination immune checkpoint blockade.

References
  1. Topalian SL, Drake CG, Pardoll DM. Immune checkpoint blockade: a common denominator approach to cancer therapy. Cancer Cell. 2015;27(4):450–461.
    View this article via: PubMed CrossRef Google Scholar
  2. Wolchok JD, et al. Overall survival with combined nivolumab and ipilimumab in advanced melanoma. N Engl J Med. 2017;377(14):1345–1356.
    View this article via: PubMed CrossRef Google Scholar
  3. Nishino M, Ramaiya NH, Hatabu H, Hodi FS. Monitoring immune-checkpoint blockade: response evaluation and biomarker development. Nat Rev Clin Oncol. 2017;14(11):655–668.
    View this article via: PubMed CrossRef Google Scholar
  4. El Osta B, Hu F, Sadek R, Chintalapally R, Tang SC. Not all immune-checkpoint inhibitors are created equal: meta-analysis and systematic review of immune-related adverse events in cancer trials. Crit Rev Oncol Hematol. 2017;119:1–12.
    View this article via: PubMed CrossRef Google Scholar
  5. De Velasco G, et al. Comprehensive Meta-analysis of key immune-related adverse events from CTLA-4 and PD-1/PD-L1 inhibitors in cancer patients. Cancer Immunol Res. 2017;5(4):312–318.
    View this article via: PubMed CrossRef Google Scholar
  6. Larkin J, et al. Combined nivolumab and ipilimumab or monotherapy in untreated melanoma. N Engl J Med. 2015;373(1):23–34.
    View this article via: PubMed CrossRef Google Scholar
  7. Stucci S, et al. Immune-related adverse events during anticancer immunotherapy: pathogenesis and management. Oncol Lett. 2017;14(5):5671–5680.
    View this article via: PubMed Google Scholar
  8. Horvat TZ, et al. Immune-related adverse events, need for systemic immunosuppression, and effects on survival and time to treatment failure in patients with melanoma treated with ipilimumab at Memorial Sloan Kettering Cancer Center. J Clin Oncol. 2015;33(28):3193–3198.
    View this article via: PubMed CrossRef Google Scholar
  9. Subudhi SK, et al. Clonal expansion of CD8 T cells in the systemic circulation precedes development of ipilimumab-induced toxicities. Proc Natl Acad Sci U S A. 2016;113(42):11919–11924.
    View this article via: PubMed CrossRef Google Scholar
  10. Oh DY, et al. Immune toxicities elicted by CTLA-4 blockade in cancer patients are associated with early diversification of the T-cell repertoire. Cancer Res. 2017;77(6):1322–1330.
    View this article via: PubMed CrossRef Google Scholar
  11. Das R, et al. Combination therapy with anti-CTLA-4 and anti-PD-1 leads to distinct immunologic changes in vivo. J Immunol. 2015;194(3):950–959.
    View this article via: PubMed CrossRef Google Scholar
  12. Das R, et al. Early B cell changes predict autoimmunity following combination immune checkpoint blockade. J Clin Invest. 2018;128(2):715–720.
    View this article via: JCI PubMed Google Scholar
  13. Teachey DT, et al. Identification of predictive biomarkers for cytokine release syndrome after chimeric antigen receptor T-cell therapy for acute lymphoblastic leukemia. Cancer Discov. 2016;6(6):664–679.
    View this article via: PubMed CrossRef Google Scholar
  14. Hay KA, et al. Kinetics and biomarkers of severe cytokine release syndrome after CD19 chimeric antigen receptor-modified T-cell therapy. Blood. 2017;130(21):2295–2306.
    View this article via: PubMed CrossRef Google Scholar
  15. Gürcan HM, Keskin DB, Stern JN, Nitzberg MA, Shekhani H, Ahmed AR. A review of the current use of rituximab in autoimmune diseases. Int Immunopharmacol. 2009;9(1):10–25.
    View this article via: PubMed CrossRef Google Scholar
  16. Miklos D, et al. Ibrutinib for chronic graft-versus-host disease after failure of prior therapy. Blood. 2017;130(21):2243–2250.
    View this article via: PubMed CrossRef Google Scholar
  17. Chiaruttini G, et al. B cells and the humoral response in melanoma: The overlooked players of the tumor microenvironment. Oncoimmunology. 2017;6(4):e1294296.
    View this article via: PubMed CrossRef Google Scholar
  18. Somasundaram R, et al. Tumor-associated B-cells induce tumor heterogeneity and therapy resistance. Nat Commun. 2017;8(1):607.
    View this article via: PubMed CrossRef Google Scholar
  19. Affara NI, et al. B cells regulate macrophage phenotype and response to chemotherapy in squamous carcinomas. Cancer Cell. 2014;25(6):809–821.
    View this article via: PubMed CrossRef Google Scholar
  20. Shalapour S, et al. Immunosuppressive plasma cells impede T-cell-dependent immunogenic chemotherapy. Nature. 2015;521(7550):94–98.
    View this article via: PubMed CrossRef Google Scholar
  21. Gunderson AJ, et al. Bruton tyrosine kinase-dependent immune cell cross-talk drives pancreas cancer. Cancer Discov. 2016;6(3):270–285.
    View this article via: PubMed CrossRef Google Scholar
  22. Pylayeva-Gupta Y, et al. IL35-producing B cells promote the development of pancreatic neoplasia. Cancer Discov. 2016;6(3):247–255.
    View this article via: PubMed CrossRef Google Scholar
  23. Lee KE, et al. Hif1a deletion reveals pro-neoplastic function of B cells in pancreatic neoplasia. Cancer Discov. 2016;6(3):256–269.
    View this article via: PubMed CrossRef Google Scholar
  24. Xiao X, et al. PD-1hi identifies a novel regulatory B-cell population in human hepatoma that promotes disease progression. Cancer Discov. 2016;6(5):546–559.
    View this article via: PubMed CrossRef Google Scholar
  25. Shalapour S, et al. Inflammation-induced IgA+ cells dismantle anti-liver cancer immunity. Nature. 2017;551(7680):340–345.
    View this article via: PubMed CrossRef Google Scholar
Version history
  • Version 1 (January 8, 2018): Electronic publication
  • Version 2 (February 1, 2018): Print issue publication

Article tools

  • View PDF
  • Download citation information
  • Send a comment
  • Terms of use
  • Standard abbreviations
  • Need help? Email the journal

Metrics

  • Article usage
  • Citations to this article

Go to

  • Top
  • Abstract
  • Checkpoint blockade therapy: the good, the bad, and the toxic
  • Circulating B cell abundance correlates with IRAE risk
  • Clinical implications and future directions
  • Acknowledgments
  • Footnotes
  • References
  • Version history
Advertisement
Advertisement

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

Sign up for email alerts