Clinical performance of metagenomic next-generation sequencing for diagnosis of pulmonary Aspergillus infection and colonization.

Background: Investigations assessing the value of metagenomic next-generation sequencing (mNGS) for distinguish Aspergillus infection from colonization are currently insufficient. Methods: The performance of mNGS in distinguishing Aspergillus infection from colonization, along with the differences in patients' characteristics, antibiotic adjustment, and lung microbiota, were analyzed. Results: The abundance of Aspergillus significantly differed between patients with Aspergillus infection (n=36) and colonization (n=32) (P < 0.0001). Receiver operating characteristic (ROC) curve result for bronchoalveolar lavage fluid (BALF) mNGS indicated an area under the curve of 0.894 (95%CI: 0.811-0.976), with an optimal threshold value of 23 for discriminating between Aspergillus infection and colonization. The infection group exhibited a higher proportion of antibiotic adjustments in comparison to the colonization group (50% vs. 12.5%, P = 0.001), with antibiotic escalation being more dominant. Age, length of hospital stay, hemoglobin, cough and chest distress were significantly positively correlated with Aspergillus infection. The abundance of A. fumigatus and Epstein-Barr virus (EBV) significantly increased in the infection group, whereas the colonization group exhibited higher abundance of A. niger. Conclusion: BALF mNGS is a valuable tool for differentiating between colonization and infection of Aspergillus. Variations in patients' age, length of hospital stay, hemoglobin, cough and chest distress are observable between patients with Aspergillus infection and colonization.

Toxicity and antitumor activity of novel agents in elderly patients with cancer included in phase 1 studies.

Introduction The number of cancer cases among the elderly continue to increase as the worldwide population ages. This patient subset is underrepresented in clinical trials, partly because of unresolved uncertainties about age-associated tolerabilities and antitumor activities. We reviewed phase 1 trial data to study tolerance and efficacy of novel agents used for treatment of elderly patients with cancer. Methods Data from 773 consecutive evaluable patients in 85 phase 1 clinical trials (2008-2016) at START Madrid-CIOCC were analyzed according to age, with respect to objective response, survival, and toxicity. Results The mean age was 58.7 (range: 18-87) years; 260 (33.6%) patients were >65 y (elderly group). One hundred thirty-seven (17.8%) patients received immunotherapy drugs, 308 (39.8%) received targeted agents, and 328 (42.4%) received chemotherapy. No statistically significant differences in overall survival, objective response, or severe toxicity rates were found according to treatment type. Similar toxicities and clinical activities were found between the two age subgroups; 18.8% of the elderly and 20.7% of the younger patients experienced severe hematological toxicity (p=0.5), and 30.2% and 32.7%, respectively, experienced severe non-hematological toxicity (p=0.4). Regarding antitumor activity, 12.4% of the elderly and 15% of the younger patients achieved objective responses (p=0.41). There were no significant between-group differences in overall survival (9.7 versus 11.5 months, respectively, p=0.1) or progression-free survival (2.3 versus 2.2 months, respectively, p=0.7). Conclusions This retrospective study found that elderly and younger populations had comparable antitumor activities and toxicity profiles. These results support including elderly patients with cancer in early-phase trials.

A Predictive Score of Antitumour Activity of Novel Agents in Cancer Patients Treated in Early Phase Studies.

INTRODUCTION: Phase I trials aim to determine the maximum-tolerated dose of a particular drug while minimizing the number of patients exposed to either sub-therapeutic doses or severe toxicity. Thus, patient selection for phase I trials is a key component of any clinical trial design. Though several studies have been made to address this issue, patient selection still represents a major clinical challenge that needs further investigation. METHODS: Twenty-nine baseline clinical and analytical characteristics of 773 consecutive patients treated in phase I trials between 2008 and 2016 in START Madrid-CIOCC were analysed and correlated to objective response (OR), progression-free survival, median overall survival, toxicity, and treatment type. The ones associated to OR in the univariate analysis were included in the stepwise logistic regression multivariate and Cox analysis. The statistically significant ones were included in a predictive score (named here as the Madrid score) of antitumour activity. RESULTS: Body mass index (BMI) >25 (p = 0.027), two or less previous lines of treatment (p = 0.007), and normal levels of alkaline phosphatase (ALP) (p = 0.007) were found to positively correlate to radiological response. A Madrid score was generated using these three factors as predictive parameters: compared to a score of 2-3 (where 2 or 3 of these variables are altered), a score of 0-1 is associated with longer survival time (11.6 vs. 8.6 months; p = 0.005) and overall response (17 vs. 7.6%; p = 0.003). CONCLUSION: The predictive Madrid score, based on the BMI, number of prior lines of treatment, and ALP levels, might be helpful to accurately select patients who would benefit from oncology phase I clinical trials.