Understanding the earliest molecular and cellular events associated with cancer initiation remains a key bottleneck to transforming our approach to cancer prevention and detection. While TCGA has provided unprecedented insights into the genomic events associated with advanced stage cancer, there have been few studies comprehensively profiling premalignant and early-stage disease or elucidating the role of the microenvironment in premalignancy and tumor initiation. In this article, we make a call for development of a "Pre-Cancer Genome Atlas (PCGA)," a concerted initiative to characterize the molecular alterations in premalignant lesions and the corresponding changes in the microenvironment associated with progression to invasive carcinoma. This initiative will require a multicenter coordinated effort to comprehensively profile (cellular and molecular) premalignant lesions and their corresponding "field of injury" collected longitudinally as the lesion progresses towards or regresses from frank malignancy across multiple tumor types. Genomic characterization of alterations in premalignant lesions and their microenvironment, for both bulk tissue and single cells, will enable development of biomarkers for early detection and risk stratification as well as allow for the development of novel targeted cancer interception strategies. The multi-institutional and multidisciplinary collaborative "big-data" effort underlying the PCGA will help usher in a new era of precision medicine for cancer detection and prevention. Cancer Prev Res; 9(2); 119-24. Ó2016 AACR.
The Bottleneck for Cancer Prevention and Early DetectionOne of the critical barriers to developing new approaches for cancer detection and prevention is the lack of understanding of the key molecular and cellular changes that cause cancer initiation and progression. Unlike the extensive work that has been done profiling advanced stage tumors, few studies have comprehensively profiled the genomic alterations found in precancerous tissues. Premalignant lesions are currently characterized by histologic changes that precede the development of invasive carcinoma (1, 2). These lesions can often be identified in regions surrounding an invasive tumor, in biopsies taken from patients undergoing diagnostic evaluation for suspicion of cancer, or in samples acquired during preventive screening. Currently, limited metrics exist to identify lesions that will likely progress to carcinoma and require intervention from those that will naturally regress or remain stable (3, 4). As imaging modalities and screening guidelines advance, the number of lesions identified will grow resulting in a need for more precise risk stratification methods and effective early intervention. Characterization of the molecular alterations in premalignant lesions and the corresponding