TRK inhibitor in a patient with metastatic triple-negative breast cancer and NTRK fusions identified via cell-free DNA analysis.

Tissue-agnostic indications for targeted therapies have expanded options for patients with advanced solid tumors. The Food and Drug Administration approvals of the programmed death-ligand 1 inhibitor pembrolizumab and the TRK inhibitors larotrectinib and entrectinib provide rationale for next-generation sequencing (NGS) in effectively all advanced solid tumor patients given potential for clinical responses even in otherwise refractory disease. As proof of concept, this case report describes a 64-year-old woman with triple-negative breast cancer refractory to multiple lines of therapy, found to have a rare mutation on NGS which led to targeted therapy with meaningful response. She initially presented with metastatic recurrence 5 years after treatment for a localized breast cancer, with rapid progression through four lines of therapy in the metastatic setting, including immunotherapy, antibody-drug conjugate-based therapy, and chemotherapy. Germline genetic testing was normal. Ultimately, NGS evaluation of cell-free DNA via an 83-gene assay (Guardant Health, Inc.) identified two NTRK3 fusions: an ETV6-NTRK3 fusion associated with the rare secretory breast carcinoma, and CRTC3-NTRK3, a novel fusion partner not previously described in breast cancer. Liver biopsy was sent for whole exome sequencing and RNA-seq analysis of tissue (BostonGene, Inc., Boston, MA, USA), which provided orthogonal confirmation of both the ETV6-NTRK3 and CRTC3-NTRK3 fusions. She was started on the TRK inhibitor larotrectinib with a marked clinical and radiographic response after only 2 months of therapy. The patient granted verbal consent to share her clinical story, images, and data in this case report. This case demonstrates the significant potential benefits of NGS testing in advanced cancer and the lessons we may learn from individual patient experiences.

Thrombosis-Related Loss of Arterial Lines in the First Wave of COVID-19 and Non-COVID-19 Intensive Care Unit Patients.

BACKGROUND: Patients with coronavirus disease 2019 (COVID-19) can present with severe respiratory distress requiring intensive care unit (ICU)-level care. Such care often requires placement of an arterial line for monitoring of pulmonary disease progression, hemodynamics, and laboratory tests. During the first wave of the COVID-19 pandemic in March 2020, experienced physicians anecdotally reported multiple attempts, decreased insertion durations, and greater need for replacement of arterial lines in patients with COVID-19 due to persistent thrombosis. Because invasive procedures in patients with COVID-19 may increase the risk for caregiver infection, better defining difficulties in maintaining arterial lines in COVID-19 patients is important. We sought to explore the association between COVID-19 infection and arterial line thrombosis in critically ill patients. METHODS: In this primary exploratory analysis, a multivariable Fine-Gray subdistribution hazard model was used to retrospectively estimate the association between critically ill COVID-19 (versus sepsis/acute respiratory distress syndrome [ARDS]) patients and the risk of arterial line removal for thrombosis (with arterial line removal for any other reason treated as a competing risk). As a sensitivity analysis, we compared the number of arterial line clots per 1000 arterial line days between critically ill COVID-19 and sepsis/ARDS patients using multivariable negative binomial regression. RESULTS: We retrospectively identified 119 patients and 200 arterial line insertions in patients with COVID-19 and 54 patients and 68 arterial line insertions with non-COVID ARDS. Using a Fine-Gray subdistribution hazard model, we found the adjusted subdistribution hazard ratio (95% confidence interval [CI]) for arterial line clot to be 2.18 (1.06-4.46) for arterial lines placed in COVID-19 patients versus non-COVID-19 sepsis/ARDS patients ( P = .034). Patients with COVID-19 had 36.3 arterial line clots per 1000 arterial line days compared to 19.1 arterial line clots per 1000 arterial line days in patients without COVID-19 (adjusted incidence rate ratio [IRR] [95% CI], 1.78 [0.94-3.39]; P = .078). CONCLUSIONS: Our study suggests that arterial line complications due to thrombosis are more likely in COVID-19 patients and supports the need for further research on the association between COVID-19 and arterial line dysfunction requiring replacement.

Feasibility of an Online Patient Community to Support Older Women With Newly Diagnosed Breast Cancer.

BACKGROUND: We conducted a feasibility study of integrating a free, online patient health community, PatientsLikeMe (PLM), into the neo/adjuvant care of older patients recently diagnosed with breast cancer. We assessed whether PLM was an appealing social forum to improve women's treatment experience during this stressful and often isolating time. PATIENTS AND METHODS: We enrolled women ages ≥60 years with recently diagnosed nonmetastatic invasive breast cancer at a single center. Our primary endpoint was feasibility of patient engagement with PLM, with successful engagement defined as using PLM for ≥50% of the total weeks of one's chemotherapy course or 4 months (if receiving hormonal and/or radiation therapy). Participants were surveyed about their health, social support, and experiences. RESULTS: During February 8, 2016 to June 25, 2018, 47 women enrolled; 14.9% were ages 71 to 75 years and 8.5% were ages ≥76 years; 63.8% received chemotherapy. Two women withdrew after consent; 45 were included in analyses. Overall, 1 (2.2%) patient met the feasibility endpoint, although 8 (17.8%) met engagement criteria for ≥25% of weeks on study. Over time, women submitted a total of >1200 posts to the "InstantMe" feature (rates how they feel) and >130 "MyFeed" stories. Evaluation of satisfaction with PLM was limited by the small number of end-of-study surveys. CONCLUSION: Although our online social support intervention did not meet the prespecified criteria for feasibility (required sustained PLM utilization), many engaged with PLM. Future interventions should explore ways we can optimally support older patients, who have an increasing access to technology while facing threats of social isolation.