The genome of esophageal adenocarcinoma (EAC) is highly unstable and might evolve over time. Here, we track karyotype evolution in EACs in response to treatment and upon recurrence through multi-region and longitudinal analysis. To this end, we introduce L-PAC (low-purity inference of absolute copy-number alterations [CNAs]), a bio-informatics technique that allows inference of absolute CNAs of low-purity samples by leveraging the information of high-purity samples from the same cancer.
View Article and Find Full Text PDFLung cancer is the leading cause of cancer-associated mortality worldwide. Here we analysed 1,644 tumour regions sampled at surgery or during follow-up from the first 421 patients with non-small cell lung cancer prospectively enrolled into the TRACERx study. This project aims to decipher lung cancer evolution and address the primary study endpoint: determining the relationship between intratumour heterogeneity and clinical outcome.
View Article and Find Full Text PDFIntra-tumor heterogeneity (ITH) is a pan-cancer predictor of survival, with high ITH being correlated to a dismal prognosis. The level of ITH is, hence, a clinically relevant characteristic of a malignancy. ITH of karyotypes is driven by chromosomal instability (CIN).
View Article and Find Full Text PDFObjective: The objective of this study was to document the practices and preferences of neonatal care stakeholders regarding location and duration of care for newborns with low illness acuity.
Study Design: We developed a survey instrument that comprised 14 questions across 2 global scenarios and 7 specific clinical conditions. The latter included apnea of prematurity, gestational age for neonatal intensive care unit admission, jaundice, neonatal opioid withdrawal, thermoregulation, and sepsis evaluation.