Background
High-dose Interferon (HDI) therapy produces a clinical response and achieves relapse-free survival in 20-33% of patients with operable high risk or metastatic melanoma [
1‐
9]. However, patients may develop significant side effects frequently necessitating dose reduction or discontinuation of therapy. Therefore, approaches to select patients for initiation and/or maintenance on HDI therapy would be very useful.
While interferon has been shown to induce anti-tumor effects such as anti-proliferative, anti-vascular [
10] and pro-apoptotic effects [
11], it has also been suggested that HDI therapy mediates its effects through modulating the immune response [
12]. Indeed development of autoimmunity [
13] and a certain serum cytokine profile [
14] have been shown to correlate with clinical responses in HDI adjuvant treated melanoma patients. Nonetheless, the mechanism of HDI's immunomodulatory roles is unclear and it is uncertain how these correspond with the autoimmune effects induced by IFN therapy.
We recently showed that peripheral blood lymphocytes (PBL) from patients with melanoma and other cancers have reduced phosphorylation of signal transducer and activators of transcription 1 (pSTAT1) upon Interferon-α (IFN-α) stimulation, demonstrating a defect in Type I IFN signaling [
15,
16]. Moreover, such defects could be partially restored by prolonged stimulation with IFN [
15]. This offered a possible mechanism for the beneficial effect of HDI therapy in melanoma patients, and also suggested a way to select patients for therapy based on their PBL IFN signaling patterns.
Type I IFNs (α/β) have been recognized to have important and diverse immunoregulatory functions. These include promoting proliferation and clonal expansion of CD4 and CD8 T cells [
17‐
20], enhancing antibody production of B cells [
21,
22], and increasing cytotoxic activity of natural killer cells (NK) and CD8 T cells [
23,
24]. IFN also has negative effects on the activation and proliferation of T regulatory cells (Tregs) [
25], which are known for their immunosuppressive roles in cancer. With the advancement of flow cytometry-based assays, signaling profiles of immune cells can be measured with increased sensitivity through phospho-flow (phosflow) analysis, which provides the ability to concurrently measure signaling activities within multiple cell types.
In the present study, we measured IFN signaling responses in peripheral blood lymphocytes from stage IIIB-C melanoma patients taken before treatment and at day 29 of neo-adjuvant HDI therapy. In addition, all of these patients continued on a maintenance regimen of HDI post surgical resection. Archived peripheral blood mononuclear cells (PBMCs) were assessed using phosflow to measure Type I IFN signaling responses through IFN-α induced phosphorylation of STAT1-Y701 in patients undergoing HDI therapy with known short-term clinical responses and long-term clinical outcome. This exploratory study found that there was a correlation in PBL T cells between response to IFN-α induced STAT1 activation and clinical responses during the induction phase of HDI. Moreover, we were able to correlate STAT1 activation in T cells from HDI treated melanoma patients over the 4-week induction phase to clinical outcome, demonstrating that measuring the IFN signaling patterns in peripheral blood lymphocytes may be useful to select patients who are more likely to benefit from HDI maintenance therapy.
Discussion
Previously, we have demonstrated in two independent cohorts impaired IFN signaling and downstream functional consequences in PBLs from patients with minimally metastatic stage III and widely metastatic stage IV melanoma as compared to healthy controls [
15,
16]. In the current study, we analyzed serial PBMC samples obtained from patients before and after the induction phase of HDI in a new independent cohort of minimally metastatic stage IIIb and IIIc melanoma patients to advance our current understanding of immune dysfunction in cancer. This exploratory study demonstrated that patients with high-risk operable nodal involvement with melanoma who had a clinical response to high dose IFN-α2b therapy over the 4-week induction phase of neoadjuvant therapy had a significant increase in STAT1 activation in peripheral blood T cells, but not B cells, upon IFN-α stimulation from Day 0 to Day 29. Moreover, this increase in pSTAT1 in peripheral blood T cells also correlated with good clinical outcome suggesting the efficacy of HDI in the clinical responders may be due, as least in part, to augmentation of their pSTAT1 responsiveness.
Moreover, the differences in STAT1 activation from pre- to post- HDI treatment could distinguish patients who were inclined to have a favorable or unfavorable outcome. As expected, patients who had minimal or negative changes in pSTAT1 (median ratio < 1.15) had poor outcome. Of patients who showed increased pSTAT1 signaling after HDI therapy, only patients who displayed modest augmentation (median ratio 1.15 - 1.35) had good outcome. Interestingly, patients who had 'hyper' IFN signaling responses (median ratio >1.35) of pSTAT1 pre- to post- HDI therapy had poor outcome, similar to those who has minimal or negative changes. These results warrant further confirmation in a larger patient cohort to investigate the underlying mechanisms by which HDI alters IFN signaling patterns in patients with different clinical outcomes.
Assessing the IFN signaling patterns in peripheral blood T cells from melanoma patients from Day 0 to Day 29 HDI therapy may be a clinically useful approach to select patients who would be more inclined to benefit from further treatment, and hence should be maintained on HDI. A trend was observed which showed that responding patients, prior to HDI therapy, have a lower response to IFN-α induced pSTAT1 compared to those of the non-responding patients. We have previously found two subsets of IFN responses in melanoma patients, IFN low-responders and IFN high-responders [
15]. We showed that in IFN low-responders, prolonged in vitro stimulation with high doses of IFN partially restored IFN signaling, suggesting a possible mechanism for the beneficial effect of HDI therapy in these melanoma patients. Prior to initiation with HDI (pre), reduced activation of STAT1 in the responding patients compared to the non-responding patients may be explained in that this patient subset exhibited a severe impairment in IFN signaling which was restored during the initiation phase of HDI therapy. In contrast, patients who had higher levels of STAT1 activation prior to the HDI initiation phase may not have had an IFN signaling defect and therefore, would not have benefited from HDI therapy. In our previous study [
16], the differences in the median activation of pSTAT1 between melanoma patients and healthy controls were 1.6 fold were as, in the current study, the median differences in STAT1 activation between the responders and non-responders were 1.4 fold.
Though B cells showed a significantly lower trend in overall STAT1 activation in responders compared to non-responders before HDI, there was no significant increase in STAT1 activation during the induction phase of HDI in the responding group, and interestingly, non-responders exhibited decreased overall STAT1 activation. It has been reported that subsets of immune cells respond differently to IFNs [
28,
29] and that in the presence of high amounts of exogenous IFNs, downregulation of the receptors may occur as a negative feedback mechanism [
30], thereby reducing responsiveness to IFNs. Additionally, reduced responsiveness in leukocytes may reflect the effects of a high tumor burden whereby tumor cells secreting immunosuppressive cytokines, such as IL-10 and TGF-β, have been shown to induce expression of STAT1 negative regulators such as the suppressors of cytokine signaling (SOCS) proteins and Src homology 2 (SH2)-containing phosphatase-1 and -2 and CD45 [
31‐
33], thereby inhibiting the anti-tumor activity of immune effector cells [
34]. Tregs and myeloid-derived suppressor cells, known for their suppressive roles on immune cells [
35‐
37] in cancer, may also contribute to reduced responsiveness to HDI. Altered plasma or serum cytokine profiles in cancer patients [
38,
39] may predispose peripheral blood leukocytes to impaired IFN signaling.
There was variation and overlap between the responder and non-responder groups. We and others have previously described variation of signaling responses in melanoma patients' PBMCs using phosflow [
15,
40,
41], suggesting that signaling abnormalities may not arise in all patients, but rather in a subset of patients. Variable responsiveness may explain the small differences observed between the clinical responders and non-responders. The sample size of this study was too small (14 patients) to be conclusive, but these results warrant a larger confirmatory study.
The importance of STAT1 in IFN signaling has been demonstrated in STAT1 knockout mice where STAT1 deficient mice were more likely to develop spontaneous tumors than wild type mice [
42], and were more susceptible to viruses and pathogens showing an IFN-dependent link to STAT1 [
43]. Previous studies have attempted to link pSTAT1 (and pSTAT3) levels in tumor cells and lymphocytes to clinical outcome of melanoma patients receiving interferon treatment [
44,
45]. Patients with higher pSTAT1/pSTAT3 ratios in pretreated lymph node biopsy tissues had better clinical outcome [
44]; however, these studies did not find a correlation between pSTAT1/pSTAT3 ratios among lymphocytes of regional lymph nodes and survival. One novelty in the present study is to consider pSTAT1 levels in different subsets of peripheral blood lymphocytes.
The use of immune profiles as a prognostic tool to determine melanoma patient survival has been studied, such as using quantification of tumor infiltrating lymphocytes (TILs) in metastatic lesions [
46], as well as gene expression profiling of TILs and CD3 T cells from primary cutaneous melanoma where the genes that were positively associated with survival were mainly related to the immune response [
47]. Beyond these prognostic implications, assessing STAT1 activation in PBL of melanoma patients may provide an additional predictive tool to guide the application of HDI therapy.
Acknowledgements and Funding
We thank Dr. Skip Maino and Maria Suni (BD Biosciences, San Jose, CA) for helpful advice and the Custom Perm Buffer for phosflow. We thank Ning Yan, Andrea Miyahira, Neta Zuckerman, and Hongxiang Yu for their insightful contribution to the manuscript. We thank Cindy Sander for her technical assistance.
This work was in part supported by Award Number P50CA121973 from the National Cancer Institute. This work was supported at the UPCI by the P50 SPORE in Skin Cancer CA121973 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the National Institutes of Health.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
PL and JK designed the study. JK provided the clinical samples. DS and GL carried out the experiments. DS, GL, JK, and PL analyzed the results, and wrote the manuscript. All authors read and approved the final manuscript.