This guideline applies to central venous access in adult cancer patients, which includes peripherally inserted central catheters (PICCs), tunnelled central catheters and totally implantable devices. Since most evidence comes from the use of central venous catheters (CVCs) in patients with a diversity of pathologies, some recommendations are based on guidelines and studies which may lack some specificity for cancer patients.

Learning Objectives: After completing this course, the reader will be able to: Describe the role played by EGF and EGFR in lung carcinogenesis.Discuss how different polymorphic alleles from the EGF and EGFR genes may affect drug response.Evaluate the value of determining the presence of EGF and EGFR polymorphisms in NSCLC patients for daily clinical practice.CME Access and take the CME test online and receive 1 AMA PRA Category 1 Credit™ at CME.TheOncologist.com

Background: Health professionals are often faced with the need to identify women at risk of manifesting poor psychological resilience following the diagnosis and treatment of breast cancer. Machine learning algorithms are increasingly used to support clinical decision support (CDS) tools in helping health professionals identify women who are at risk of adverse well-being outcomes and plan customized psychological interventions for women at risk. Clinical flexibility, cross-validated performance accuracy, and model explainability permitting person-specific identification of risk factors are highly desirable features of such tools. Objective: This study aimed to develop and cross-validate machine learning models designed to identify breast cancer survivors at risk of poor overall mental health and global quality of life and identify potential targets of personalized psychological interventions according to an extensive set of clinical recommendations. Methods: A set of 12 alternative models was developed to improve the clinical flexibility of the CDS tool. All models were validated using longitudinal data from a prospective, multicenter clinical pilot at 5 major oncology centers in 4 countries (Italy, Finland, Israel, and Portugal; the Predicting Effective Adaptation to Breast Cancer to Help Women to BOUNCE Back [BOUNCE] project). A total of 706 patients with highly treatable breast cancer were enrolled shortly after diagnosis and before the onset of oncological treatments and were followed up for 18 months. An extensive set of demographic, lifestyle, clinical, psychological, and biological variables measured within 3 months after enrollment served as predictors. Rigorous feature selection isolated key psychological resilience outcomes that could be incorporated into future clinical practice. Results: Balanced random forest classifiers were successful at predicting well-being outcomes, with accuracies ranging between 78% and 82% (for 12-month end points after diagnosis) and between 74% and 83% (for 18-month end points after diagnosis). Explainability and interpretability analyses built on the best-performing models were used to identify potentially modifiable psychological and lifestyle characteristics that, if addressed systematically in the context of personalized psychological interventions, would be most likely to promote resilience for a given patient. Conclusions: Our results highlight the clinical utility of the BOUNCE modeling approach by focusing on resilience predictors that can be readily available to practicing clinicians at major oncology centers. The BOUNCE CDS tool paves the way for personalized risk assessment methods to identify patients at high risk of adverse well-being outcomes and direct valuable resources toward those most in need of specialized psychological interventions.

We performed a phase II trial to test whether a cyclooxygenase (COX-2) inhibitor, celecoxib, added to standard first-line combination chemotherapy (CT) and as maintenance therapy would improve outcomes in extensive-stage (ES) small-cell lung cancer (SCLC). This was a multicenter trial in CT-naive patients with ES-SCLC. They received standard cisplatin and etoposide (EP) up to 6 cycles and celecoxib 400 mg PO bid continuously until disease progression. Primary end points were response rate (RR), time to progression (TTP), and toxicity. Secondary were overall survival (OS) and quality of life. Of 74 expected patients, only 24 were enrolled and the study stopped earlier because of the published safety concerns about celecoxib. The patients, all male, were between 38 and 74 years. A total of 130 cycles of CT were administered. Toxicity associated with celecoxib was minimal. The RR was 56.5%. Median TTP and OS were 8.6 and 11.3 months, respectively. These data suggest that celecoxib may safely be combined with EP for treatment of ES-SCLC. This combination showed a promising activity and, despite the safety concerns regarding celecoxib, it would be interesting to further evaluate this regimen.