Naslov
Abstract 2727: The premalignant state captured in the landscape of somatic mutations can reveal the cancer cell-of-origin

Autori
Kubler, Kirsten ; Karlic, Rosa ; Haradhvala, Nicholas J. ; Ha, Kyungsik ; Kim, Jaegil ; Kuzman, Maja ; Jiao, Wei ; Gakkhar, Sitanshu ; Mouw, Kent W. ; Braunstein, Lior Z. ; Elemento, Olivier ; Biankin, Andrew V. ; Rooman, Ilse ; Miller, Mendy ; Nogiec, Christopher D. ; Curry, Edward ; Mino- Kenudson, Mari ; Ellisen, Leif W. ; Brown, Robert ; Gusev, Alexander ; Tomasetti, Cristian ; Kim, Hong-Gee ; Lee, Hwajin ; Vlahovicek, Kristian ; Sawyers, Charles ; Hoadley, Katherine A. ; Cuppen, Edwin ; Koren, Amnon ; Arndt, Peter F. ; Louis, David N. ; Stein, Lincoln ; Foulkes, William D. ; Polak, Paz ; Getz, Gad

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Proceedings: AACR Annual Meeting 2019 ; Cancer Res 2019 ; 79(13 Suppl) / - : American Association for Cancer Research, 2019

Skup
110th American Association for Cancer Research (AACR) Annual Meeting 2019

Mjesto i datum
Atlanta (GA), Sjedinjene Američke Države, 29.03.2019. - 03.04.2019

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Cancer genomics ; Cell-of-origin

Sažetak
Despite increasing knowledge of tumorigenesis, the identity of the cancer cell-of-origin, i.e. the normal cell type that acquired the cancer- initiating event, remains largely unknown. Our approach of identifying the cell-of-origin is based on two observations: (1) the chromatin structure is cell-specific ; and (2) the density of somatic mutations along the genome is associated with the regional profile of chromatin modifications. We have previously developed a method that quantifies the ability to predict the mutational distribution along the cancer genome from the profile of epigenetic modifications in different normal cell types. Here we present the largest application of our method using 2, 550 whole genomes representing 32 distinct cancer types. To identify the cell-of-origin, we determined the correlation between the observed density of mutations along the genome and the predicted values based on chromatin modifications from 104 different normal tissue types. The normal cell type that showed the strongest correlation with a specific cancer mutational landscape was the candidate cell-of-origin. We found that in almost all cancer types the cell- of-origin can be characterized solely from DNA sequences. Interestingly, we found that the fallopian tube was the best match for high-grade serous ovarian cancer, providing independent evidence that this is the cancer’s site of origin. For breast cancer we found that the four distinct subtypes best-matched cells from the luminal cell lineage: basal-like breast cancer likely originates from luminal progenitors, whereas all other subtypes from luminal mature cells. This association holds true even when accounting for different alterations in the homologous recombination repair pathway, suggesting that subtypes are more determined by the cell-of-origin than the specific DNA repair defect. In addition, we found that we could identify the cell-of-origin using metastatic samples – a finding that may help in difficult clinical diagnoses. Moreover, we demonstrate that cancer drivers, both germline risk alleles and somatically mutated drivers, reside in active chromatin regions in the respective cell-of-origin. Taken together, our findings indicate that many of the somatic mutations accumulated while the cells maintained a chromatin structure similar to the cell-of-origin (likely occurring prior to transformation). Therefore, this historical record, captured in the DNA, can be used to identify, the often elusive, cancer cell-of- origin. Our approach can ultimately help better understand the potential of particular normal cell types to transform and initiate cancer, as well as the association of the cell-of-origin with tumor subtypes and sensitivity to treatment.

Izvorni jezik
Engleski

Znanstvena područja
Biologija

POVEZANOST RADA