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Cancer driver mutations


Cancer driver mutations: predictions and reality - Cell Press

In this review we summarize recent efforts to identify driver mutations in cancer and annotate their effects.

Definition of driver mutation - NCI Dictionary of Cancer Terms

NCI's Dictionary of Cancer Terms provides easy-to-understand definitions for words and phrases related to cancer and medicine.

Mutational landscape of cancer-driver genes across human cancers

Our analysis revealed that 98.9% (719 out of 727) of cancer genes were mutated in at least one sample. Among the oncogenes, MUC16 (mutated in ...

Driver mutations in oncogenesis

Along with driver mutations, there may be passenger mutation, which does not promote the growth of cancer cells or may not have any effect on the cells.

Cancer driver mutations: predictions and reality - PubMed

Cancer cells accumulate many genetic alterations throughout their lifetime, but only a few of them drive cancer progression, termed driver ...

Accumulation of driver and passenger mutations during tumor ...

We model tumors as a discrete time branching process that starts with a single driver mutation and proceeds as each new driver mutation leads to a slightly ...

Driver and Passenger Mutations in Cancer | Annual Reviews

Next-generation sequencing has allowed identification of millions of somatic mutations and epigenetic changes in cancer cells.

Genome-wide mapping of somatic mutation rates uncovers drivers ...

Identification of cancer driver mutations that confer a proliferative advantage is central to understanding cancer; however, searches have ...

Comprehensive Characterization of Cancer Driver Genes and ...

D560G, N564D, and K567E are validated mutations that cluster closely to non-tested mutations R577P/Q, S565R, and P568T in PIK3R1. Similarly, PIK3CA contains ...

Prediction of cancer driver genes and mutations - Oxford Academic

We introduce predictive tools for driver genes, driver mutations, and the impact of these based on structural analysis.

Cancer driver mutations: predictions and reality

The high mutational, biochemical, and histological tumor heterogeneity makes driver mutation identification very chal- lenging. In this review we summarize ...

Tissue-Predisposition to Cancer Driver Mutations - MDPI

Driver mutations are considered the cornerstone of cancer initiation. They are defined as mutations that convey a competitive fitness advantage, and hence, ...

Evaluating the evaluation of cancer driver genes - PNAS

A cancer driver gene is defined as one whose mutations increase net cell growth under the specific microenvironmental conditions that exist in the cell in vivo.

Why Are Some Driver Mutations Rare? - ScienceDirect.com

If a mutation is frequent, it is a driver. If it has low frequency overall, but relatively high frequency in certain cancer types, it is also a driver. Drivers ...

a deep learning-based strategy to predict cancer driver mutations ...

Abstract. Driver mutations can contribute to the initial processes of cancer, and their identification is crucial for understanding ...

Identifying driver mutations in sequenced cancer genomes

Here, we review computational approaches to identify somatic mutations in cancer genome sequences and to distinguish the driver mutations that are responsible ...

deepDriver: Predicting Cancer Driver Genes Based on Somatic ...

Cancer is driven by various types of mutations, such as single nucleotide variants (SNVs), insertions or deletions (Indels) and structural ...

Comprehensive Characterization of Cancer Driver Genes and ...

Experimental validation confirmed 60-85% of predicted mutations as likely drivers. We found that >300 MSI tumors are associated with high PD-1/ ...

OncodriveFML: a general framework to identify coding and non ...

Distinguishing the driver mutations from somatic mutations in a tumor genome is one of the major challenges of cancer research.

Non-Small Cell Lung Cancer: Genes, Oncogenes, Driver Mutations ...

This article explains the role of genes, oncogenes, driver mutations and biomarkers in non-small cell lung cancer (NSCLC).


Big Data Approaches to Decipher Non-Coding Cancer Driver Mutations.