Normal cells explore multiple states to survive stresses encountered during development
and self-renewal as well as environmental stresses such as starvation, DNA damage, toxins …

Machine learning, a collection of data-analytical techniques aimed at building predictive
models from multi-dimensional datasets, is becoming integral to modern biological research …

Mutations play a fundamental role in the development of cancer, and many create targetable
vulnerabilities. There are both public health and basic science benefits from the …

Cancer stem-like cells (CSC) play pivotal roles in both chemoresistance and recurrence of
many cancer types, including urothelial bladder cancer (UBC). In addition to intrinsic …

Chronotherapeutics aim at treating illnesses according to the endogenous biologic rhythms,
which moderate xenobiotic metabolism and cellular drug response. The molecular clocks …

Eradicating triple-negative breast cancer (TNBC) resistant to neoadjuvant chemotherapy
(NACT) is a critical unmet clinical need. In this study, patient-derived xenograft (PDX) …

Mutations in ARID1A rank among the most common molecular aberrations in human cancer.
However, oncogenic consequences of ARID1A mutation in human cells remain poorly …

Abstract The Research Domain Criteria (RDoC) paradigm was launched 10 years ago as a
superior approach for investigation of mental illness. RDoC conceptualizes normal human …

Despite considerable efforts, the mechanisms linking genomic alterations to the
transcriptional identity of cancer cells remain elusive. Integrative genomic analysis, using a …

We introduce and validate a new precision oncology framework for the systematic
prioritization of drugs targeting mechanistic tumor dependencies in individual patients …