Comprehensive genomic profiling on metastatic Melanoma: results from a network screening from 7 Italian Cancer Centres

BACKGROUND

The current therapeutic algorithm for Advanced Stage Melanoma comprises of alternating lines of Targeted and Immuno-therapy, mostly via Immune-Checkpoint blockade. While Comprehensive Genomic Profiling of solid tumours has been approved as a companion diagnostic, still no approved predictive biomarkers are available for Melanoma aside from BRAF mutations and the controversial Tumor Mutational Burden. This study presents the results of a Multi-Centre Observational Clinical Trial of Comprehensive Genomic Profiling on Target and Immuno-therapy treated advanced Melanoma.

METHODS

82 samples, collected from 7 Italian Cancer Centres of FFPE-archived Metastatic Melanoma and matched blood were sequenced via a custom-made 184-gene amplicon-based NGS panel. Sequencing and bioinformatics analysis was performed at a central hub. Primary analysis was carried out via the Ion Reporter framework. Secondary analysis and Machine Learning modelling comprising of uni and multivariate, COX/Lasso combination, and Random Forest, was implemented via custom R/Python scripting.

RESULTS

The genomics landscape of the ACC-mela cohort is comparable at the somatic level for Single Nucleotide Variants and INDELs aside a few gene targets. All the clinically relevant targets such as BRAF and NRAS have a comparable distribution thus suggesting the value of larger scale sequencing in melanoma. No comparability is reached at the CNV level due to biotechnological biases and cohort numerosity. Tumour Mutational Burden is slightly higher in median for Complete Responders but fails to achieve statistical significance in Kaplan-Meier survival analysis via several thresholding strategies. Mutations on PDGFRB, NOTCH3 and RET were shown to have a positive effect on Immune-checkpoint treatment Overall and Disease-Free Survival, while variants in NOTCH4 were found to be detrimental for both endpoints.

CONCLUSIONS

The results presented in this study show the value and the challenge of a genomics-driven network trial. The data can be also a valuable resource as a validation cohort for Immunotherapy and Target therapy genomic biomarker research.

Prognostic role of modified Glasgow Prognostic score in elderly non-small cell lung cancer patients treated with anti-PD-1 antibodies

BACKGROUND

This study aimed to investigate whether the immunosenescence-related score is a critical prognostic predictor of anti-programmed cell death protein 1 (PD-1) axis inhibitors in elderly patients with advanced non-small cell lung cancer (NSCLC).

METHODS

We reviewed 51 patients with advanced NSCLC aged ≥75 years, who were treated with nivolumab or pembrolizumab at the National Cancer Center Hospital between December 2015 and April 2019. Factors such as modified Glasgow prognostic score (mGPS), Neutrophil-to-lymphocyte ratio (NLR), and Charlson comorbidity index (CCI) were used to assess immunosenescence.

RESULTS

The objective response rate (ORR) and disease control rate (DCR) of all patients were 25.4% (95% confidence interval [CI]: 14.3-39.6) and 52.9% (95% CI: 38.5-67.1), respectively. High mGPS (score of 2) was associated with low DCR compared to low mGPS (score of 0-1) (26.0% vs. 54.0%, p = 0.03). However, none of these scores were significantly related to the ORR. High mGPS was significantly linked to shorter median progression-free survival (mPFS) (4.2 mos. vs. 12.7 mos, p < 0.01), and median overall survival (mOS) (4.8 mos. vs. 28.1 mos, p = 0.03). However, neither CCI nor NLR was associated with prognosis. Multivariate regression analysis identified high mGPS as a significant prognostic factor for mOS (hazard ratio, HR: 0.31 [95% CI: 0.13-0.71], p < 0.01).

CONCLUSIONS

High mGPS scores significantly impaired DCR, mPFS, and mOS in patients with advanced NSCLC treated with anti-PD-1 antibodies.

Novel therapeutic strategies for spinal osteosarcomas

At the dawn of the third millennium, cancer has become the bane of twenty-first century man, and remains a predominant public health burden, affecting welfare and life expectancy globally. Spinal osteogenic sarcoma, a primary spinal malignant tumor, is a rare and challenging neoplastic disease to treat. After the conventional therapeutic modalities of chemotherapy, radiation and surgery have been exhausted, there is currently no available alternative therapy in managing cases of spinal osteosarcoma. The defining signatures of tumor survival are characterised by cancer cell ability to stonewall immunogenic attrition and apoptosis by various means. Some of these biomarkers, namely immune-checkpoints, have recently been exploited as druggable targets in osteosarcoma and many other different cancers. These promising strides made by the use of reinvigorated immunotherapeutic approaches may lead to significant reduction in spinal osteosarcoma disease burden and corresponding reciprocity in increase of survival rates. In this review, we provide the background to spinal osteosarcoma, and proceed to elaborate on contribution of the complex ecology within tumor microenvironment giving arise to cancerous immune escape, which is currently receiving considerable attention. We follow this section on the tumor microenvironment by a brief history of cancer immunity. Also, we draw on the current knowledge of treatment gained from incidences of osteosarcoma at other locations of the skeleton (long bones of the extremities in close proximity to the metaphyseal growth plates) to make a case for application of immunity-based tools, such as immune-checkpoint inhibitors and vaccines, and draw attention to adverse upshots of immune-checkpoint blockers as well. Finally, we describe the novel biotechnique of CRISPR/Cas9 that will assist in treatment approaches for personalized medication.