Optimization of Immune Checkpoint Inhibition
Based on currently available results, it is clear that further work needs to be done in order to understand how to optimize lung cancer treatment with these antibodies, and to determine which patients are the best candidates for treatment. Patient-related variables now under evaluation include identification of potential prognostic patient demographic characteristics, validation of a prognostic and/or response-predictive biomarker, and standardization of response evaluation. Other investigations of potential predictors or markers of response or resistance include further evaluation of the tumor microenvironment, the ways in which tumor mutational load dictates the response to treatment, and further exploration of the role of prior antitumor immunity. More practical issues, such as the unique toxicity profiles and the cost-benefit ratios of these agents, are also areas of ongoing evaluation.
All of the landmark trials evaluating immune checkpoint inhibitors in lung cancer have reported demographic information, such as age, gender, country of origin, and smoking status. While there has not been dedicated evaluation or even standardization of age reporting, there appears to be a trend towards lack of benefit with immunotherapy in elderly patients.[1,2] Further study of this potential association is needed, since this is not seen across all trials. In these studies, gender and performance status do not appear to affect outcome; however, there are conflicting data regarding whether the patient’s country of origin, ethnicity, or number of prior lines of therapy favor the use of immunotherapy over standard chemotherapy.[1,2,14] Smoking status has been found to correlate with response to single-agent therapy with PD-1/PD-L1 inhibitors.[2,3,13,17,25]
A biomarker for response and prognostic value is desperately needed; so far, the greatest amount of available information is on PD-L1 staining of tumor or tumor-infiltrating immune cells, but the data are conflicting across trials. Given the conflicting statistics reported in the PD-1 antibody studies, at this time knowledge of PD-L1 staining is only required for use of pembrolizumab in the second-line treatment setting of advanced or metastatic NSCLC.[1-4,11,12,17,18] More work needs to be done to standardize the PD-L1 assessment (in terms of the assay used, scoring techniques, cutoff scores, and stratification levels), and to clarify which finding is prognostic: the status of PD-L1 positivity of tumor cells, tumor-infiltrating immune cells, or both.[26,27]
As in most clinical trials, the trials described in this review use RECIST to assess treatment outcomes; however, these criteria were developed for interpreting the efficacy of cytotoxic chemotherapies and they may not be an appropriate tool for evaluating the unique response characteristics observed in patients treated with immune checkpoint inhibitors. Specifically, patients treated with these agents may experience pseudoprogression-a delayed response or even a potential initial increase in the tumor burden, with subsequent shrinkage.[28] Pseudoprogression is an important concept because of its potential to adversely affect treatment decisions, such as the decision to discontinue a therapy that ultimately may be of significant benefit. This is especially urgent in light of a 3-year survival plateau of 21% reported in immunotherapy-responsive patients with unresectable or metastatic melanoma treated with ipilimumab, which suggests durable long-term benefit of immune checkpoint inhibition.[29] Longer follow-up of OS in NSCLC will reveal whether this trend will be similar across tumor types. Immune-related response criteria (irRC) were developed as a way to evaluate total disease quantity as the sum of the products of the diameters of index lesions and measurable new lesions; therefore, new measurable and nonmeasurable lesions do not initially define progressive disease as is the case with RECIST[30] (Table 3). While this could potentially lead to more accurate measurement of tumor response to treatment with immune checkpoint inhibitors, irRC has not been widely adopted at this time. Another potential use of irRC is to further clarify the best efficacy endpoint in trials of these agents, since again, classic endpoints such as ORR and PFS that are based on RECIST may fail to identify certain patients who could benefit from therapy.
Many insights have been gained from tumor mutational analysis, investigation of the tumor microenvironment, and evaluation of oncogenic driver mutational status in both clinical and translational studies of immune checkpoint inhibition in NSCLC. In pembrolizumab-treated cohorts of NSCLC patients evaluated with whole-exome sequencing, higher nonsynonymous tumor mutational load was associated with higher ORR, durability of response, and PFS.[31] Efficacy and mutation burden also correlated with the molecular signature of smoking (molecular alterations) in human lung tissues, higher neoantigen burden, and mutations in the DNA repair pathway, suggesting that genomic changes shape the response to PD-1 checkpoint inhibition. Exploratory analyses in the two previously described studies of atezolizumab suggested that patients with tumor samples showing preexisting immunity to their tumors had superior treatment response[17] and survival outcomes.[18] Thus, it is possible that gene expression factors of T-effector and T-helper cells may play a role in the response to treatment with checkpoint inhibitors. Dedicated analysis of combination therapy with nivolumab and erlotinib in treatment-naive advanced or metastatic NSCLC is ongoing (ClinicalTrials.gov identifier: NCT01454102), as is treatment with a combination of durvalumab and gefitinib (ClinicalTrials.gov identifier: NCT02088112); however, results of CheckMate 057 showed that the hazard ratio in the OS analysis favored treatment with docetaxel over nivolumab in EGFR-mutated patients, whereas other studies were unable to draw definitive conclusions due to small sample sizes.[2-4]
Immune checkpoint inhibitors are clearly better tolerated than cytotoxic chemotherapy when it comes to classic side effects, as evidenced by the aforementioned relatively low rates of high-grade AEs. Indeed, in these trials, most treatment-related toxicities attributed to immune checkpoint inhibitors were low grade and were well tolerated. However, selected immune-related AEs must be promptly recognized and addressed in order to achieve an optimal treatment outcome, since symptoms can occur at any time during or after therapy.[32-34] Treatment algorithms based on side effect grading with the National Cancer Institute’s Common Terminology Criteria for Adverse Events should be readily available in the clinic to facilitate proper symptom identification and management.[33,35,36] Use of these tools enables practitioners to quickly decide on the need for supportive care; drug cessation; subspecialty evaluation; or immunosuppression with corticosteroids, infliximab, mycophenolate mofetil, or cyclophosphamide.[33,34]
The cost-benefit ratio of immune checkpoint inhibitors continues to be studied. While it has not been prospectively studied in a trial, the financial impact of these medications, which cost between $10,000 and $20,000 a month, depending on insurance coverage, can be severe. These paradigm-shifting medications are expensive but potentially lifesaving; it would be a tragedy for patients to be unable to access them due to cost.[37] Therefore, we need to clarify the optimal duration of therapy with these agents, and properly identify the patients who will not benefit from this treatment option.
Conclusion
Immune checkpoint inhibitors have changed the treatment paradigm for patients with lung cancer, bringing about the most promising outcomes we have seen in a long time. FDA approval of anti–PD-1 monotherapy for previously treated advanced or metastatic NSCLC based on the groundbreaking results discussed in this review has led to a massive wave of clinical trials evaluating these agents in a variety of treatment settings. It is hoped that these trials will bring greater understanding of patient characteristics, tumor characteristics, and biomarkers that are predictive of response to therapy with immune checkpoint inhibitors, and prognostic of benefit. This information can then be used to optimize use of these agents in the most appropriate treatment setting. While further research is initiated, it is imperative that the use of immune checkpoint inhibitors in the clinic be refined via proper identification of appropriate candidates for treatment and management of treatment response and toxicity. The potential financial toxicity of these agents must also be discussed with the companies that manufacture them and the patients who receive them. Efficiently combining further translational research with continued clinical experience will lead to rapid advances in the use of immune checkpoint inhibitors in lung cancer.
Financial Disclosure: Dr. Brahmer has received grants from Bristol-Myers Squibb, MedImmune/AstraZeneca, and Merck; and serves on the advisory boards of Celgene, Lilly, and Merck. Dr. Marrone has no significant financial interest in or other relationship with the manufacturer of any product or provider of any service mentioned in this article.
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