VeriStrat® is a pretreatment blood-based test correlated with clinical outcome after EGFR-TKI therapy in non-small cell lung cancer (NSCLC) patients. The investigators hypothesis is that VeriStrat could be also employed as a biomarker of benefit from treatment with standard chemotherapy regimens in first line NSCLC patients.
VeriStrat®, a pretreatment blood-based test correlated with clinical outcome after EGFR-TKI therapy in non-small cell lung cancer (NSCLC) patients, was developed and validated in a multi-institutional study of advanced NSCLC patients treated with gefitinib \[Taguchi et al\] . The VeriStrat algorithm was developed using a training set of pre-treatment serum samples from patients who then experienced either long term stable disease or early progression on gefitinib therapy. Mass spectra from these patients' serum samples were used to define eight MS features (i.e. peaks), differentiating these two outcome groups. An algorithm (VeriStrat) utilizing these features and based on a k-nearest neighbors (KNN) classification scheme was created and its parameters were optimized using additional spectra from the training cohort. All aspects of VeriStrat were frozen after development. VeriStrat assigns each spectrum a "Good" or "Poor" label. VeriStrat was validated in a blinded fashion on two independent cohorts of patients who were treated with gefitinib or erlotinib. These studies confirmed that patients classified as "Good" had better outcome than patients classified as "Poor" (HR of death = 0.47 P = 0.0094 in one cohort, HR of death = 0.33 P = 0.0007 in the other). In the original study, VeriStrat was shown to correlate with clinical outcome following EGFR-TKI therapy, but not in the chemotherapy or post-surgery setting: No statistically significant difference was seen in the overall survival of patients classified as "Good" or "Poor" from the serum from patients collected before second-line chemotherapy (HR = 0.74, 95%, P = 0.42 in one cohort (cohort B) and HR = 0.81, P = 0.54 in another (cohort C)). In a third control cohort of patients with resected early-stage NSCLC, the hazard ratio for overall survival was 0.90 (P = 0.79). However, further analysis of the subsets of chemotherapy samples demonstrated that separation between "Good" and "Poor" arms may depend on a particular type of chemotherapy. Thus a retrospective subset analysis of the cohort C showed that while patients treated with docetaxel in second line did not show any sign of separation, patients receiving a combination of platinum-based agents with either vinorelbine or gemcitabine or paclitaxel had a trend to separation between the two arms. The working hypothesis for the mechanism is that the VeriStrat "Poor" label is related to the activation of canonical and non-canonical MAPK pathways downstream from receptor tyrosine kinases, with possible cross-talk activation of the NF-kB pathway. This means that VeriStrat may demonstrate different predictive performance depending on the particular chemotherapy treatment and its associated with cell pathway interactions.
IRCCS Azienda Ospedaliera Universitaria San Martino - IST Istituto Nazionale per la Ricerca sul Cancro
Genoa, Italy
RECRUITINGProgression-free survival
The primary objective of this study is to evaluate the potential role of VeriStrat test as a biomarker of benefit from treatment with standard chemotherapy regimens in first line NSCLC patients in terms of progression-free survival (PFS) (primary endpoint) in two populations: patients with non-squamous histology treated with cisplatin and pemetrexed, and patients with squamous histology treated with cisplatin and gemcitabine
Time frame: 2 years
Overall survival
A secondary endpoint is to evaluate the role of VeriStrat as a biomarker of the secondary endpoints overall survival, in two groups of first line patients with non-small cell lung cancer (NSCLC), described above.
Time frame: 2 years
Correlation with RECIST response
A secondary endpoint is to evaluate the possible correlation of VeriStrat classification with best RECIST responses.
Time frame: Every 6 weeks
Correlation with known biomarkers
A secondary endpoint is to evaluate the possible correlation of VeriStrat classification with the available measurements of known biomarkers: the mutation statutes of EGFR, K-RAS, and ALK, and levels of ERCC1, RRM1 and TS.
Time frame: Every 6 weeks
Changes of VeriStrat with disease progression
A secondary endpoint is to evaluate possible changes of VeriStrat classification with disease progression.
Time frame: Every 6 weeks
Metabolomics
A secondary endpoint is to identify, measure, and interpret the complex time-related concentrations, activity, and fluxes of endogenous metabolites in biosamples such as blood and urine to improve disease prognosis and monitoring; provide insight into drug metabolism and toxicology; provide a linkage between the human metabolome and the human genome and proteome.
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Study Type
OBSERVATIONAL
Enrollment
100
Time frame: Every 6 weeks
Circulating tumor cells.
A secondary endpoint is isolate, identify and characterize molecularly the circulating tumor cells (CTCs) before start of treatment (within 2 weeks), at each patient's evaluation and at progression.
Time frame: Every 6 weeks