Unique Genomic Alterations and Microbial Profiles Identified in Patients With Gastric Cancer of African, European, and Asian Ancestry: A Novel Path for Precision Oncology.

OBJECTIVE: Here, we characterize differences in the genetic and microbial profiles of GC in patients of African (AFR), European, and Asian ancestry. BACKGROUND: Gastric cancer (GC) is a heterogeneous disease with clinicopathologic variations due to a complex interplay of environmental and biological factors, which may affect disparities in oncologic outcomes.. METHODS: We identified 1042 patients with GC with next-generation sequencing data from an institutional Integrated Mutation Profiling of Actionable Cancer Targets assay and the Cancer Genomic Atlas group. Genetic ancestry was inferred from markers captured by the Integrated Mutation Profiling of Actionable Cancer Targets and the Cancer Genomic Atlas whole exome sequencing panels. Tumor microbial profiles were inferred from sequencing data using a validated microbiome bioinformatics pipeline. Genomic alterations and microbial profiles were compared among patients with GC of different ancestries. RESULTS: We assessed 8023 genomic alterations. The most frequently altered genes were TP53 , ARID1A , KRAS , ERBB2 , and CDH1 . Patients of AFR ancestry had a significantly higher rate of CCNE1 alterations and a lower rate of KRAS alterations ( P < 0.05), and patients of East Asian ancestry had a significantly lower rate of PI3K pathway alterations ( P < 0.05) compared with other ancestries. Microbial diversity and enrichment did not differ significantly across ancestry groups ( P > 0.05). CONCLUSIONS: Distinct patterns of genomic alterations and variations in microbial profiles were identified in patients with GC of AFR, European, and Asian ancestry. Our findings of variation in the prevalence of clinically actionable tumor alterations among ancestry groups suggest that precision medicine can mitigate oncologic disparities.

Enhanced PAtient Clinical Streamlining (EPACS): Quality Initiative to Improve Healthcare for New Surgical Outpatient Visits.

PURPOSE: For patients who select a specialty hospital for cancer treatment, the wait time until the initial consultation leaves patients anxious and delays treatment. To improve quality of care, we implemented an enhanced patient clinical streamlining (EPACS) process that establishes an early connection and coordinates care before the first surgical outpatient visit at our specialty cancer center. METHODS: During a pre-visit EPACS phone call to new patients, an advanced practice provider (APP) collected medical history and ordered work-up tests or consultations if feasible. First visit cancellation rate, number of patients who started treatment, time to start of treatment, and satisfaction by the care team and patient were compared between patients treated with versus without EPACS. RESULTS: Among 5062 consecutive new patients, 720 (14%) received an EPACS call and 4342 did not (86%); work-up was ordered pre-visit in 34% and 16%, respectively. Fewer EPACS patients cancelled the first visit (4.6% vs. 12%, p < 0.001), more started treatment (55% vs. 50%, p = 0.037), and their time to treatment was shorter, but not significantly (median 17 vs. 19 days, p = 0.086). Patient interaction was considered to be improved by EPACS by 17 of 17 APPs and 14 of 16 surgeons, and outpatient clinic efficiency by 14 of 17 APPs and 13 of 16 surgeons. EPACS reduced anxiety and increased preparedness for the first visit in 29 of 31 patients. CONCLUSIONS: EPACS improved effectiveness, timeliness, and physician and patient satisfaction with health care at our cancer center.

Delirium as a Risk Factor for Mortality in Critically Ill Patients With Cancer.

PURPOSE: Although delirium is known to negatively affect critically ill patients, little data exist on delirium in critically ill patients with cancer. METHODS: We analyzed 915 critically ill patients with cancer between January and December 2018. Delirium screening was performed using the Confusion Assessment Method for the intensive care unit (ICU), performed twice daily. Confusion Assessment Method-ICU incorporates four features of delirium: acute fluctuations in mental status, inattention, disorganized thinking, and altered levels of consciousness. Multivariable analysis controlling for admitting service, pre-ICU hospital length of stay (LOS), metastatic disease, CNS involvement, Mortality Probability Model II score on ICU admission, mechanical ventilation, and others was performed to determine precipitating factors for delirium, ICU, and hospital mortality and LOS. RESULTS: Delirium occurred in 40.5% (n = 317) of patients; 43.8% (n = 401) were female; the median age was 64.9 (interquartile range, 54.6-73.2) years; 70.8% (n = 647) were White, 9.3% (n = 85) were Black, and 8.9% (n = 81) were Asian. The most common cancer types were hematologic (25.7%, n = 244) and gastrointestinal (20.9%, n = 191). Delirium was independently associated with age (OR, 1.01; 95% CI, 1.00 to 1.02; P = .038), longer pre-ICU hospital LOS (OR, 1.04; 95% CI, 1.02 to 1.06; P < .001), not resuscitating on admission (OR, 2.18; 95% CI, 1.07 to 4.44; P = .032), CNS involvement (OR, 2.25; 95% CI, 1.20 to 4.20; P = .011), higher Mortality Probability Model II score (OR, 1.02; 95% CI, 1.01 to 1.02; P < .001), mechanical ventilation (OR, 2.67; 95% CI, 1.84 to 3.87; P < .001), and sepsis diagnosis (OR, 0.65; 95% CI, 0.43 to 0.99; P = .046). Delirium was also independently associated with higher ICU mortality (OR, 10.75; 95% CI, 5.91 to 19.55; P < .001), hospital mortality (OR, 5.84; 95% CI, 4.03 to 8.46; P < .001), and ICU LOS (estimate, 1.67; 95% CI, 1.54 to 1.81; P < .001). CONCLUSION: Delirium significantly worsens outcome in critically ill patients with cancer. Delirium screening and management should be integrated into the care of this patient subgroup.