Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Is PD-L1 a consistent biomarker for anti-PD-1 therapy? The model of balstilimab in a virally-driven tumor

Immune-checkpoint inhibitors (ICIs) have substantially improved the outcomes of large subsets of patients across numerous malignancies. However, the lack of durable responses in many patients, added to high costs and the risk of adverse events, indicates a need for better biomarkers to guide patient selection. PD-L1 expression as measured routinely by immunohistochemistry (IHC), providing clinicians with a combined positivity score (CPS), microsatellite instability (MSI), and tumor mutational burden (TMB) have emerged as the most widely used and relevant biomarkers of response to ICIs. These biomarkers have variably succeeded or failed in predicting responders for different cancer types in adequately powered trials. Further, their prognostic and/or predictive roles are limited to specific settings.

PD-L1 expression by IHC is particularly controversial as an ICI biomarker. Indeed, multiple trials have shown efficacy of ICIs in patients with PD-L1 negative tumors and these agents are approved for treatment of PD-L1 negative cancers. Thus, in refractory or metastatic cervical cancer, the overall response rates (ORR) with nivolumab in PD-L1 positive and negative (CPS < 1%) patients were 2/10 (20%) and 1/6 (16.7%), respectively. Notably, the PD-L1 negative responder had a durable partial response that exceeded 24 months [1]. Pembrolizumab showed a 6% ORR in patients with PD-L1 negative (TPS < 1%) melanoma leading to an accelerated all-comer approval [2]. Furthermore, in third-line small cell lung cancer (SCLC), a 6% ORR in PD-L1 negative (CPS < 1%) patients also supported pembrolizumab’s accelerated all-comer approval [3]. Similar results were observed in second-line squamous cell carcinoma of the head and neck (SCCHN) in which a 6% ORR in PD-L1 negative (CPS < 1%) patients again supported pembrolizumab’s accelerated all-comer approval [4]. The ORRs in PD-L1 positive patients were 51% in melanoma, 36% in 3L SCLC, and 21% in SCCHN. In all cases, accelerated all-comer approval was granted despite lower ORRs in PD-L1 negative patients.

The recently reported interim data with the PD-1 inhibitor balstilimab (AGEN2034) in cervical cancer adds to the list of ICIs with activity in PD-L1 negative patients. Cervical cancer is almost always due to HPV infection and expresses a variety of foreign antigens. While much progress has been made in prevention, it remains a significant public health burden with limited therapeutic options for metastatic disease. Balstilimab (AGEN2034) is a next-generation anti-PD-1 therapy which demonstrated clinical benefit (14.3% overall response rate (ORR), 45.2% disease control rate (DCR)) as monotherapy in second-line cervical cancer patients (n = 143). Importantly, balstilimab demonstrated clinical benefit in patients with tumors that are both PD-L1 positive (ORR = 19%) and PD-L1 negative (CPS < 1%; ORR 10%) [5].

Although the basis for PD-1 inhibitors’ activity in PD-L1 negative tumors is incompletely understood, this consistent observation across many studies in multiple tumor types suggests that there is likely a biological basis for this phenomenon. PD-L1 can be an unreliable biomarker due to its dynamic expression, including a demonstrated propensity for increased expression with exposure to immunotherapy. Simply stated, patients who are negative at one point in time cannot be assumed to be negative later on. This phenomenon was exemplified in two studies that examined PD-L1 expression before and after cancer treatment. First, the prevalence of PD-L1 positivity on cancer and immune cells (TC or IC ≥ 1%) increased following platinum-based neoadjuvant chemotherapy in lung cancer patients (N = 63). Prior to treatment, 17.4% (11) and 15.9% (10) of patients expressed PD-L1 on tumor and immune cells, respectively. After treatment, 40.0% (25) and 71.4% (45) of patients expressed PD-L1 on tumor and immune cells, respectively [6]. Second, 65% (28/43) of melanoma patients treated with one cycle of nivolumab therapy exhibited upregulated PD-L1 expression as assessed by RNA-sequencing [7]. In cervical cancer lesions that are irradiated, this may also occur.

Mechanisms of PD-L1 upregulation include, but are not limited to, altered inflammatory signaling [8,9,10], oncogenic signaling [11,12,13,14], hypoxic signaling [15] post-translational modification [16, 17], and genetic alterations [18,19,20]. Given complex regulation, it is unsurprising to us that PD-L1 expression is heterogeneous within tumors and among different metastatic sites [21,22,23]. Together, dynamic temporal and spatial expression of PD-L1 limits interpretability of baseline PD-L1 testing. More relevantly, the method of measuring PD-L1 and the platform used may result in different PD-L1 values. Whilst only IHC has been used in routine practice and trials thus far, RNA-seq has the added advantages of being amenable to standardization and avoidance of interpretation bias. The ability of HPV to dysregulate such biomarkers has also been described.

For these reasons, the majority of anti-PD1 approvals have not required testing for PD-L1 positivity. Among 43 monotherapy approvals, (as of November 2020) only nine have required a PD-L1 positivity test. Of the nine exceptions, seven were linked to clinical trials for which there was a lack of evidence to support benefit or there was a lack of benefit for PD-L1 negative patients (Table 1). The C-700 trial adds to this list demonstrating the potential for balstilimab monotherapy to elicit responses in patients who are PD-L1 negative.

Table 1 Anti-PD-1 monotherapy approvals with PD-L1 companion diagnostic.

Conclusions

The need to predict and monitor patients’ responses to ICIs will make next-generation sequencing and other emerging biomarkers indispensable for identifying responders versus non-responders, as current biomarkers such as PD-L1 are inadequate. Currently, there is precedence for clinical benefit and even regulatory approval of PD-1 inhibitors with ~10% ORR in PD-L1 negative patients in multiple settings and excluding these patients from treatment may deprive them of a meaningful response to treatment. Taken together, and based on a head to head comparison, these data provide evidence to support the hypothesis that the assessment of PD-L1 status by IHC is an inadequate determinant of treatment benefit with anti-PD-1 therapies, including balstilimab.

In the future, we expect that therapeutic options for cervical cancer will include ICIs, chemotherapy, radiotherapy, surgery, small molecules and cell therapy, alone or in combination. For these patients, similar to the settings of neoadjuvant breast cancer and SCCHN, we have the ability to sample a patient’s tumor over time to better understand biomarker adaptations and complexities. Clinically unexpected response patterns, including late responders and pseudo- or hyper-progression, may complicate management as the underlying biology stems from complex dynamics between a drug, tumor and the host. We and others will continue to search for predictive clinically reliable biomarkers, as opposed to those based on the subjective expression of one single molecule. There is no doubt that such biomarkers will be dynamic, changing with time and context. While many academic and industry efforts have led us to biomarkers now in routine use in the clinic (PDL-1, TMB and MSI-status) as well as emerging biomarkers (neoantigen patterns, CD4/CD8 TIL infiltration rate, and Treg composition), the optimal role and application of each of these is still being elucidated. In recognition of this complexity, clinical trial task forces now understand the limitations of the measurement of a single biomarker, and future research will enable translating multi-dimensional biomarker discoveries into the clinic.

References

  1. 1.

    Naumann RW, Hollebecque A, Meyer T, Devlin MJ, Oaknin A, Kerger J, et al. Safety and efficacy of nivolumab monotherapy in recurrent or metastatic cervical, vaginal, or vulvar carcinoma: results from the phase I/II CheckMate 358 trial. J Clin Oncol. 2019;37:2825–34.

    CAS  Article  Google Scholar 

  2. 2.

    Kefford R, Ribas A, Hamid O, Robert C, Daud A, Wolchok JD, et al. Clinical efficacy and correlation with tumor PD-L1 expression in patients (pts) with melanoma (MEL) treated with the anti-PD-1 monoclonal antibody MK-3475. J Clin Oncol. 2014;15:3005–3005.

    Article  Google Scholar 

  3. 3.

    Mehra R, Seiwert TY, Gupta S, Weiss J, Gluck I, Eder JP. et al. Efficacy and safety of pembrolizumab in recurrent/metastatic head and neck squamous cell carcinoma: pooled analyses after long-term follow-up in KEYNOTE-012. Br J Cancer. 2018;119:153–9. https://doi.org/10.1038/s41416-018-0131-9.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  4. 4.

    Chung HC, Schellens JHM, Delord J-P, Perets R, Italiano A, Shapira-Frommer R, et al. Pembrolizumab treatment of advanced cervical cancer: updated results from the phase 2 KEYNOTE-158 study. J Clin Oncol. 2018;36:5522–5522.

    Article  Google Scholar 

  5. 5.

    O’Malley DM, Oaknin A, Monk BJ, Leary A, Selle F, Alexandre J, et al. LBA34 Single-agent anti-PD-1 balstilimab or in combination with anti-CTLA-4 zalifrelimab for recurrent/metastatic (R/M) cervical cancer (CC): Preliminary results of two independent phase II trials. Ann Oncol. 2020;31:S1164–S1165.

    Article  Google Scholar 

  6. 6.

    Guo L, Song P, Xue X, Guo C, Han L, Fang Q, et al. Variation of programmed death ligand 1 expression after platinum-based neoadjuvant chemotherapy in lung cancer. J Immunother. 2019;42:215–20.

    CAS  Article  Google Scholar 

  7. 7.

    Riaz N, Havel JJ, Makarov V, Desrichard A, Urba WJ, Sims JS, et al. Tumor and Microenvironment Evolution during Immunotherapy with Nivolumab. Cell. 2017;171:934–49.e16. https://doi.org/10.1016/j.cell.2017.09.028.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  8. 8.

    Tumeh PC, Harview CL, Yearley JH, Shintaku IP, Taylor EJM, Robert L, et al. PD-1 blockade induces responses by inhibiting adaptive immune resistance. Nature. 2014;515:568–71.

    CAS  Article  Google Scholar 

  9. 9.

    Garcia-Diaz A, Shin DS, Moreno BH, Saco J, Escuin-Ordinas H, Rodriguez GA, et al. Interferon receptor signaling pathways regulating PD-L1 and PD-L2 expression. Cell Rep. 2017;19:1189–201. https://doi.org/10.1016/j.celrep.2017.04.031

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Dong H, Strome SE, Salomao DR, Tamura H, Hirano F, Flies DB, et al. Tumor-associated B7-H1 promotes T-cell apoptosis: a potential mechanism of immune evasion. Nat Med. 2002;8:793–800. https://doi.org/10.1038/nm730.

    CAS  Article  PubMed  Google Scholar 

  11. 11.

    Marzec M, Zhang Q, Goradia A, Raghunath PN, Liu X, Paessler M. et al. Oncogenic kinase NPM/ALK induces through STAT3 expression of immunosuppressive protein CD274 (PD-L1, B7-H1). Proc Natl Acad Sci USA. 2008;105:20852–7. https://doi.org/10.1073/pnas.0810958105.

    Article  PubMed  Google Scholar 

  12. 12.

    Green MR, Rodig S, Juszczynski P, Ouyang J, Sinha P, O’Donnell E. et al. Constitutive AP-1 activity and EBV infection induce PD-l1 in Hodgkin lymphomas and posttransplant lymphoproliferative disorders: Implications for targeted therapy. Clin Cancer Res. 2012;18:1611–8. https://doi.org/10.1158/1078-0432.CCR-11-1942.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  13. 13.

    Akbay EA, Koyama S, Carretero J, Altabef A, Tchaicha JH, Christensen CL. et al. Activation of the PD-1 pathway contributes to immune escape in EGFR-driven lung tumors. Cancer Disco. 2013;3:1355–63. https://doi.org/10.1158/2159-8290.CD-13-0310.

    CAS  Article  Google Scholar 

  14. 14.

    Crane C, Panner A, Pieper RO, Arbiser J, Parsa AT. Honokiol-mediated inhibition of PI3K/mTOR pathway: a potential strategy to overcome immunoresistance in glioma, breast, and prostate carcinoma without impacting T cell function. J Immunother. 2009;32:585–92.

    CAS  Article  Google Scholar 

  15. 15.

    Barsoum IB, Smallwood CA, Siemens DR, Graham CH. A mechanism of hypoxia-mediated escape from adaptive immunity in cancer cells. Cancer Res. 2014;74:665–74. https://doi.org/10.1158/0008-5472.CAN-13-0992.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Lim SO, Li CW, Xia W, Cha JH, Chan LC, Wu Y. et al. Deubiquitination and stabilization of PD-L1 by CSN5. Cancer Cell. 2016;30:925–39. https://doi.org/10.1016/j.ccell.2016.10.010.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  17. 17.

    Zhang L, Yu X, Zheng L, Zhang Y, Li Y, Fang Q. et al. Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature. 2018;564:268–72. https://doi.org/10.1038/s41586-018-0694-x.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  18. 18.

    Green MR, Monti S, Rodig SJ, Juszczynski P, Currie T, O’Donnell E. et al. Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma. Blood. 2010;116:3268–77. https://doi.org/10.1182/blood-2010-05-282780.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  19. 19.

    Twa DDW, Chan FC, Ben-Neriah S, Woolcock BW, Mottok A, Tan KL, et al. Genomic rearrangements involving programmed death ligands are recurrent in primary mediastinal large B-cell lymphoma. Blood. 2014;2062–5. https://doi.org/10.1182/blood-2013-10-535443.

  20. 20.

    Kataoka K, Shiraishi Y, Takeda Y, Sakata S, Matsumoto M, Nagano S, et al. Aberrant PD-L1 expression through 3′-UTR disruption in multiple cancers. Nature. 2016;534:402–6.

    CAS  Article  Google Scholar 

  21. 21.

    Patel SP, Kurzrock R. PD-L1 expression as a predictive biomarker in cancer immunotherapy. Mol Cancer Therapeutics. 2015;14:847–56. https://doi.org/10.1158/1535-7163.MCT-14-0983.

    CAS  Article  Google Scholar 

  22. 22.

    Aggen DH, Drake CG. Biomarkers for immunotherapy in bladder cancer: a moving target. J Immunother Cancer. 2017;5:94 https://doi.org/10.1186/s40425-017-0299-1.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Pichler R, Heidegger I, Fritz J, Danzl M, Sprung S, Zelger B. et al. PD-L1 expression in bladder cancer and metastasis and its influence on oncologic outcome after cystectomy. Oncotarget. 2017;8:66849–64. https://doi.org/10.18632/oncotarget.19913.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Author information

Affiliations

Authors

Corresponding author

Correspondence to Manuel Hildago.

Ethics declarations

Conflict of interest

JEG is an employee of Agenus Inc. MH is the founder of Champions Oncology, Inc. and Nelum Oncology; a stockholder in Champions Oncology, Inc., Agenus, Nelum Oncology, BioOncotech, Inxmed and Pharmacyte; a grants/research support recipient from Bioline, Erytech, and BioExcell; an honorarium recipient from Agenus, InxMed, and Oncomatrix; and a royalty recipient from Myriad for PALB2 patent.

Additional information

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Grossman, J.E., Vasudevan, D., Joyce, C.E. et al. Is PD-L1 a consistent biomarker for anti-PD-1 therapy? The model of balstilimab in a virally-driven tumor. Oncogene 40, 1393–1395 (2021). https://doi.org/10.1038/s41388-020-01611-6

Download citation

Search

Quick links