226 research outputs found
Inflammatory biomarkers in metastatic colorectal cancer: prognostic and predictive role beyond the first line setting
External validation of the prognostic relevance of the advanced lung cancer inflammation index (ALI) in pancreatic cancer patients
Decreased activity of circulating butyrylcholinesterase in blood is an independent prognostic marker in pancreatic cancer patients
The lipase/amylase ratio (LAR) in peripheral blood might represent a novel prognostic marker in patients with surgically resectable pancreatic cancer
Benefit of second-line therapy for advanced esophageal squamous cell carcinoma: a tri-center propensity score analysis
BACKGROUND: The level of evidence for palliative second-line therapy in advanced esophageal squamous cell carcinoma (aESCC) is limited. This is the first study that reports efficacy data comparing second-line therapy + active symptom control (ASC) versus ASC alone in aESCC. METHODS: We conducted a tri-center retrospective cohort study (n = 166) including patients with aESCC who had experienced disease progression on palliative first-line therapy. A propensity score model using inverse probability of treatment weighting (IPTW) was implemented for comparative efficacy analysis of overall survival (OS) in patients with second-line + ASC (n = 92, 55%) versus ASC alone (n = 74, 45%). RESULTS: The most frequent second-line regimens used were docetaxel (36%) and paclitaxel (18%). In unadjusted primary endpoint analysis, second-line + ASC was associated with significantly longer OS compared with ASC alone [hazard ratio (HR) = 0.49, 95% confidence interval (CI): 0.35–0.69, p < 0.0001]. However, patients in the second-line + ASC group were characterized by more favorable baseline features including a better Eastern Cooperative Oncology Group (ECOG) performance status, a longer first-line treatment duration and lower C-reactive protein levels. After rigorous adjusting for baseline confounders by re-weighting the data with the IPTW the favorable association between second-line and longer OS weakened but prevailed. The median OS was 6.1 months in the second-line + ASC group and 3.2 months in the ASC group, respectively (IPTW-adjusted HR = 0.40, 95% CI: 0.24–0.69, p = 0.001). Importantly, the benefit of second-line was consistent across several clinical subgroups, including patients with ECOG performance status ⩾1 and age ⩾65 years. The most common grade 3 or 4 adverse events associated with palliative second-line therapy were hematological toxicities. CONCLUSION: This real-world study supports the concept that systemic second-line therapy prolongs survival in patients with aESCC
Cell-free DNA analysis reveals POLR1D-mediated resistance to bevacizumab in colorectal cancer
Diabetes mellitus is independently associated with adverse clinical outcome in soft tissue sarcoma patients
Profiling of circulating tumor DNA and tumor tissue for treatment selection in patients with advanced and refractory carcinoma: a prospective, two-stage phase II individualized cancer treatment trial
Benefit of second-line systemic chemotherapy for advanced biliary tract cancer: a propensity score analysis
Comparison of three commercial decision support platforms for matching of next-generation sequencing results with therapies in patients with cancer
Objective Precision oncology depends on translating molecular data into therapy recommendations. However, with the growing complexity of next-generation sequencing-based tests, clinical interpretation of somatic genomic mutations has evolved into a formidable task. Here, we compared the performance of three commercial clinical decision support tools, that is, NAVIFY Mutation Profiler (NAVIFY; Roche), QIAGEN Clinical Insight (QCI) Interpret (QIAGEN) and CureMatch Bionov (CureMatch). Methods In order to obtain the current status of the respective tumour genome, we analysed cell-free DNA from patients with metastatic breast, colorectal or non-small cell lung cancer. We evaluated somatic copy number alterations and in parallel applied a 77-gene panel (AVENIO ctDNA Expanded Panel). We then assessed the concordance of tier classification approaches between NAVIFY and QCI and compared the strategies to determine actionability among all three platforms. Finally, we quantified the alignment of treatment suggestions across all decision tools. Results Each platform varied in its mode of variant classification and strategy for identifying druggable targets and clinical trials, which resulted in major discrepancies. Even the frequency of concordant actionable events for tier I-A or tier I-B classifications was only 4.3%, 9.5% and 28.4% when comparing NAVIFY with QCI, NAVIFY with CureMatch and CureMatch with QCI, respectively, and the obtained treatment recommendations differed drastically. Conclusions Treatment decisions based on molecular markers appear at present to be arbitrary and dependent on the chosen strategy. As a consequence, tumours with identical molecular profiles would be differently treated, which challenges the promising concepts of genome-informed medicine
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