A view on drug resistance in cancer

N Vasan, J Baselga, DM Hyman - Nature, 2019 - nature.com
The problem of resistance to therapy in cancer is multifaceted. Here we take a reductionist
approach to define and separate the key determinants of drug resistance, which include …

Small molecules, big impact: 20 years of targeted therapy in oncology

PL Bedard, DM Hyman, MS Davids, LL Siu - The Lancet, 2020 - thelancet.com
The identification of molecular targets and the growing knowledge of their cellular functions
have led to the development of small molecule inhibitors as a major therapeutic class for …

American Cancer Society's report on the status of cancer disparities in the United States, 2021

F Islami, CE Guerra, A Minihan… - CA: a cancer journal …, 2022 - Wiley Online Library
In this report, the authors provide comprehensive and up‐to‐date US data on disparities in
cancer occurrence, major risk factors, and access to and utilization of preventive measures …

Machine learning for multi-omics data integration in cancer

Z Cai, RC Poulos, J Liu, Q Zhong - Iscience, 2022 - cell.com
Multi-omics data analysis is an important aspect of cancer molecular biology studies and
has led to ground-breaking discoveries. Many efforts have been made to develop machine …

AACR Project GENIE: powering precision medicine through an international consortium

AACR Project Genie Consortium… - Cancer discovery, 2017 - AACR
Abstract The AACR Project GENIE is an international data-sharing consortium focused on
generating an evidence base for precision cancer medicine by integrating clinical-grade …

Using patient-derived organoids to predict locally advanced or metastatic lung cancer tumor response: a real-world study

HM Wang, CY Zhang, KC Peng, ZX Chen, JW Su… - Cell Reports …, 2023 - cell.com
Predicting the clinical response to chemotherapeutic or targeted treatment in patients with
locally advanced or metastatic lung cancer requires an accurate and affordable tool. Tumor …

[HTML][HTML] A framework to rank genomic alterations as targets for cancer precision medicine: the ESMO Scale for Clinical Actionability of molecular Targets (ESCAT)

J Mateo, D Chakravarty, R Dienstmann, S Jezdic… - Annals of …, 2018 - Elsevier
Background In order to facilitate implementation of precision medicine in clinical
management of cancer, there is a need to harmonise and standardise the reporting and …

Implementing genome-driven oncology

DM Hyman, BS Taylor, J Baselga - Cell, 2017 - cell.com
Early successes in identifying and targeting individual oncogenic drivers, together with the
increasing feasibility of sequencing tumor genomes, have brought forth the promise of …

Fibroblast growth factor receptors as treatment targets in clinical oncology

M Katoh - Nature reviews Clinical oncology, 2019 - nature.com
FGFRs are receptor tyrosine kinases with a role in several biological processes, such as the
regulation of development and tissue repair. However, alterations in FGFRs 1–4, such as …

Estimation of the percentage of US patients with cancer who benefit from genome-driven oncology

J Marquart, EY Chen, V Prasad - JAMA oncology, 2018 - jamanetwork.com
Importance To date, the benefit of genome-driven cancer therapy has not been quantified.
Objective We sought to estimate the annual percentage of patients in the United States with …