Effect of glucocorticoids for the management of immune-related adverse events on outcome in melanoma patients treated with immunotherapy-a retrospective and biomarker study.

Background: Immune-related adverse events (IRAEs) during therapy with immune checkpoint inhibitors (ICIs) are common, and their management sometimes requires glucocorticoids (GCs). Predictors for development of IRAEs and data about the impact of GCs on clinical outcome are missing. We evaluated the impact of GCs to treat IRAEs on clinical outcome, and plasmatic inflammatory proteins as predictors for IRAEs. Patients and methods: Patients with melanoma (n = 98) treated with ICIs at Karolinska University Hospital were included. Clinical information and data regarding prescription of systemic GCs were collected. Baseline plasma samples (n = 57) were analyzed for expression of 92 inflammatory proteins. Results: Forty-four patients developed at least one IRAE requiring systemic GCs and the most common was hypocortisolemia (n = 11). A median overall survival of 72.8 months for patients developing IRAEs requiring GCs, 17.7 months for those who did not, and 1.4 months for individuals receiving GCs at baseline was observed in Kaplan-Meier curves (P = 0.001). In immortal time bias adjusted analysis, patients receiving steroids to treat IRAE survived slightly longer, even though this time trend was not statistically significant. The median overall survival was 29 months for those treated with GCs within 60 days after ICIs start and was not reached for patients receiving GCs later. The number of ICI cycles was higher in subjects receiving GCs after 60 days (P = 0.0053). Hypocortisolemia occurred mainly in males (10/11) and correlated with favorable outcome. Male patients with hypocortisolemia had lower expression of interleukin 8, transforming growth factor-α, and fibroblast growth factor 5 and higher expression of Delta/Notch-like epidermal growth factor-related receptor. Conclusions: GCs may be used to treat IRAEs without major concern. GCs early during ICIs may, however, impact clinical outcome negatively. The prognostic value of hypocortisolemia and inflammation proteins as biomarkers should be further investigated.

Molecular subtype and tumor characteristics of breast cancer metastases as assessed by gene expression significantly influence patient post-relapse survival.

BACKGROUND: We and others have recently shown that tumor characteristics are altered throughout tumor progression. These findings emphasize the need for re-examination of tumor characteristics at relapse and have led to recommendations from ESMO and the Swedish Breast Cancer group. Here, we aim to determine whether tumor characteristics and molecular subtypes in breast cancer metastases confer clinically relevant prognostic information for patients. PATIENTS AND METHODS: The translational aspect of the Swedish multicenter randomized trial called TEX included 111 patients with at least one biopsy from a morphologically confirmed locoregional or distant breast cancer metastasis diagnosed from December 2002 until June 2007. All patients had detailed clinical information, complete follow-up, and metastasis gene expression information (Affymetrix array GPL10379). We assessed the previously published gene expression modules describing biological processes [proliferation, apoptosis, human epidermal receptor 2 (HER2) and estrogen (ER) signaling, tumor invasion, immune response, and angiogenesis] and pathways (Ras, MAPK, PTEN, AKT-MTOR, PI3KCA, IGF1, Src, Myc, E2F3, and ß-catenin) and the intrinsic subtypes (PAM50). Furthermore, by contrasting genes expressed in the metastases in relation to survival, we derived a poor metastasis survival signature. RESULTS: A significant reduction in post-relapse breast cancer-specific survival was associated with low-ER receptor signaling and apoptosis gene module scores, and high AKT-MTOR, Ras, and ß-catenin module scores. Similarly, intrinsic subtyping of the metastases provided statistically significant post-relapse survival information with the worst survival outcome in the basal-like [hazard ratio (HR) 3.7; 95% confidence interval (CI) 1.3-10.9] and HER2-enriched (HR 4.4; 95% CI 1.5-12.8) subtypes compared with the luminal A subtype. Overall, 25% of the metastases were basal-like, 32% HER2-enriched, 10% luminal A, 28% luminal B, and 5% normal-like. CONCLUSIONS: We show that tumor characteristics and molecular subtypes of breast cancer metastases significantly influence post-relapse patient survival, emphasizing that molecular investigations at relapse provide prognostic and clinically relevant information. CLINICALTRIALS.GOV: This is the translational part of the Swedish multicenter and randomized trial TEX, clinicaltrials.gov identifier nct01433614 (http://www.clinicaltrials.gov/ct2/show/nct01433614).

Proteomics analysis of melanoma metastases: association between S100A13 expression and chemotherapy resistance.

BACKGROUND: Disseminated cutaneous malignant melanoma (CMM) is commonly unresponsive to standard chemotherapies, and there are as yet no predictive markers of therapy response. METHODS: In the present study we collected fresh-frozen pretreatment lymph-node metastasis samples (n=14) from melanoma patients with differential response to dacarbazine (DTIC) or temozolomide (TMZ) chemotherapy, to identify proteins with an impact on treatment response. We performed quantitative protein profiling using tandem mass spectrometry and compared the proteome differences between responders (R) and non-responders (NR), matched for age, gender and histopathological type of CMM. RESULTS: Biological pathway analyses showed several signalling pathways differing between R vs NR, including Rho signalling. Gene expression profiling data was available for a subset of the samples, and the results were compared with the proteomics data. Four proteins with differential expression between R and NR were selected for technical validation by immunoblotting (ISYNA1, F13A1, CSTB and S100A13), and CSTB and S100A13 were further validated on a larger sample set by immunohistochemistry (n=48). The calcium binding protein S100A13 was found to be significantly overexpressed in NR compared with R in all analyses performed. CONCLUSIONS: Our results suggest that S100A13 is involved in CMM resistance to DTIC/TMZ.