Ductal carcinoma in situ (DCIS) is a preinvasive lesion of the breast that makes up almost 30% of all mammographically detected malignancies [1,2]. In DCIS, as for many pre-malignant lesions, the main clinical challenge is predicting which lesions are likely to progress to invasive and metastatic disease. In the absence of reliable prognostic tools, all DCIS is treated as if it would progress, resulting in harm for those patients whose DCIS lacks potential for progression. Thus accurate and clinically actionable prognostic markers for DCIS are critically needed. Neoplasms progress through a process of random mutations and clonal expansions, leading to widespread heterogeneity both between and within neoplasms [4] that makes it challenging to predict prognosis on the basis of specific markers. Moreover, the clonal diversity within a neoplasm is overlaid upon a background of heterogeneous microenvironments, which can accelerate the evolutionary process [5,6] by imposing different selective pressures on different meta-populations in different tumor regions [7]. Genetic diversity in a population is the fuel for natural selection and is a key determinant of the rate of evolution [8,9]. The more genetic and microenvironmental diversity, the more opportunities for selection to drive clonal expansions and for the neoplasm to adapt to new selective pressures. Our solution to the problem of predicting progression given its stochastic nature is not to measure the products of somatic evolution (e.g., presence/absence of a mutation), but to measure the process of somatic evolution (e.g., genetic diversity).

Public Health Relevance

The increased diagnosis and treatment of DCIS has had an unclear impact on breast cancer specific survival;thus, there has been growing concern that the current management of pre-invasive cancers results in more harm than benefit for patients. In this project, we propose to collect genomic, phenotypic, and radiographic measures of tumor cell diversity in DCIS and the tumor microenvironment, and test whether these diversity measures can identify which patients are most likely to develop metastatic disease. Deliverables from the proposal have high potential for rapid integration into clinical trials for active surveillance of DCIS and in addition, could have universal relevance for management of other solid tumors.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
1R01CA185138-01
Application #
8687308
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Mohla, Suresh
Project Start
2014-08-01
Project End
2018-07-31
Budget Start
2014-08-01
Budget End
2015-07-31
Support Year
1
Fiscal Year
2014
Total Cost
Indirect Cost
Name
Duke University
Department
Surgery
Type
Schools of Medicine
DUNS #
City
Durham
State
NC
Country
United States
Zip Code
27705
Andor, Noemi; Maley, Carlo C; Ji, Hanlee P (2017) Genomic Instability in Cancer: Teetering on the Limit of Tolerance. Cancer Res 77:2179-2185
Lote, H; Spiteri, I; Ermini, L et al. (2017) Carbon dating cancer: defining the chronology of metastatic progression in colorectal cancer. Ann Oncol 28:1243-1249
Fortunato, Angelo; Boddy, Amy; Mallo, Diego et al. (2017) Natural Selection in Cancer Biology: From Molecular Snowflakes to Trait Hallmarks. Cold Spring Harb Perspect Med 7:
Tollis, Marc; Boddy, Amy M; Maley, Carlo C (2017) Peto's Paradox: how has evolution solved the problem of cancer prevention? BMC Biol 15:60
Shi, Bibo; Grimm, Lars J; Mazurowski, Maciej A et al. (2017) Can Occult Invasive Disease in Ductal Carcinoma In Situ Be Predicted Using Computer-extracted Mammographic Features? Acad Radiol 24:1139-1147
Andor, Noemi; Graham, Trevor A; Jansen, Marnix et al. (2016) Pan-cancer analysis of the extent and consequences of intratumor heterogeneity. Nat Med 22:105-13
Martinez, Pierre; Timmer, Margriet R; Lau, Chiu T et al. (2016) Dynamic clonal equilibrium and predetermined cancer risk in Barrett's oesophagus. Nat Commun 7:12158
Timmer, Margriet R; Martinez, Pierre; Lau, Chiu T et al. (2016) Derivation of genetic biomarkers for cancer risk stratification in Barrett's oesophagus: a prospective cohort study. Gut 65:1602-10
Chowell, Diego; Boddy, Amy M; Mallo, Diego et al. (2016) When (distant) relatives stay too long: implications for cancer medicine. Genome Biol 17:34
Boddy, Amy M; Fortunato, Angelo; Wilson Sayres, Melissa et al. (2015) Fetal microchimerism and maternal health: a review and evolutionary analysis of cooperation and conflict beyond the womb. Bioessays 37:1106-18

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