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The American Joint Committee on Cancer: the 7th Edition of the AJCC Cancer Staging Manual and the Future of TNM

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TLDR
A marked increase in the use of international datasets for more highly evidenced-based changes in staging, and the enhanced use of nonanatomic prognostic factors in defining the stage grouping are notable.
Abstract
The American Joint Committee on Cancer and the International Union for Cancer Control update the tumor-node-metastasis (TNM) cancer staging system periodically. The most recent revision is the 7th edition, effective for cancers diagnosed on or after January 1, 2010. This editorial summarizes the background of the current revision and outlines the major issues revised. Most notable are the marked increase in the use of international datasets for more highly evidenced-based changes in staging, and the enhanced use of nonanatomic prognostic factors in defining the stage grouping. The future of cancer staging lies in the use of enhanced registry data standards to support personalization of cancer care through cancer outcome prediction models and nomograms.

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Radiomic Features Are Associated With EGFR Mutation Status in Lung Adenocarcinomas.

TL;DR: Computed tomography-based radiomic features of peripheral lung adenocarcinomas can capture useful information regarding tumor phenotype, and the model built can be useful to predict the presence of EGFR mutations in peripheral lung carcinomas in Asian patients when mutational profiling is not available or possible.
Journal ArticleDOI

Prognostic and Prediction Tools in Bladder Cancer: A Comprehensive Review of the Literature.

TL;DR: A large number of prediction models that hold the promise of facilitating treatment decisions for patients with bladder cancer (BCa) are found, however, many models are missing confirmation in a different patient cohort, and only a few studies have tested the clinical utility of any given model as measured by its ability to improve clinical decision making.
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