Pregled bibliografske jedinice broj: 1104757
The Mutational Landscapes of Cancers Serve as Records of Early Malignant Transformation
The Mutational Landscapes of Cancers Serve as Records of Early Malignant Transformation // Libri Oncologici : Croatian Journal of Oncology, Translating Science of Medicine - Targets and Therapeutics - Fifth Meeting of the Croatian Association for Cancer Research with International Participation / Ozretić, Petar ; Levanat, Sonja (ur.).
Zagreb: Klinika za tumore, Klinički bolnički centar Sestre milosrdnice, Ilica 197, 10 000 Zagreb, 2018. str. 11-11 (pozvano predavanje, recenziran, sažetak, znanstveni)
CROSBI ID: 1104757 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
The Mutational Landscapes of Cancers Serve as
Records of Early Malignant Transformation
Autori
Karlić, Rosa ; Kübler, Kirsten, Foulkes, William D ; Polak, Paz ; Getz, Gad
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
Libri Oncologici : Croatian Journal of Oncology, Translating Science of Medicine - Targets and Therapeutics - Fifth Meeting of the Croatian Association for Cancer Research with International Participation
/ Ozretić, Petar ; Levanat, Sonja - Zagreb : Klinika za tumore, Klinički bolnički centar Sestre milosrdnice, Ilica 197, 10 000 Zagreb, 2018, 11-11
Skup
5th Meeting of the Croatian Association for Cancer Research with International Participation: Translating Science to Medicine "Targets and Therapeutics" (HDIR-5)
Mjesto i datum
Zagreb, Hrvatska, 08.11.2018. - 10.11.2018
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Recenziran
Ključne riječi
Cancer genomics ; Cell-of-origin
Sažetak
A fundamental question in cancer biology is how the cell lineage influences the cell’s susceptibility to malignant transformation. Cell properties are encoded in the cell type-specifi c chromatin structure and we previously demonstrated that the landscape of somatic mutations in cancer is associated with the chromatin marks of the cell-of-origin (Polak et al, Nature, 2015). Many of these mutations accumulate before malignant transformation and serve as a historical record of the original normal cell. Here, we show that this principle is generalizable to common cancer types and provides new insights into the molecular events of cancer initiation. We extended our analysis to include 2, 641 whole genomes across 30 cancer types and epigenetic modifi cations from 98 normal tissue types. We found that 28/30 cancer types originated from a biologically plausible cell-of-origin. In 25 cancer types, the tumor originated from a cell type that was its direct normal cell counterpart (or a related cell type). In three cancer types (esophageal, pancreatic ductal and biliary adenocarcinomas) the best-matched normal cell type indicated metaplasia. In the remaining two cancer types, we did not fi nd a good match among the normal cell types, due to the lack of relevant epigenetic data. We analyzed in more detail different breast cancer subtypes. We found that basal-like tumors appear to originate from luminal progenitor cells, while all other subtypes (luminal A, luminal B, and HER2-enriched) arise from mature luminal cells. Furthermore, this association held true when accounting for various gene inactivation events. Irrespective of the exact mechanism of inactivation, all BRCA1/2- and RAD51C-altered basal-like tumors best matched to luminal progenitors while BRCA1/2- and CHEK2 -mutated luminal A/B subtypes best matched mature luminal cells, implying that the inactivation of specific genes was less crucial than the cell-of- origin for driving the formation of subtypes. Taken together, our findings highlight the crucial role of the specific cell type of origin in shaping the mutational landscape and early tumor evolution.
Izvorni jezik
Engleski
Znanstvena područja
Biologija
POVEZANOST RADA
Projekti:
HRZZ-IP-2014-09-6400 - Istraživanje razvoja, diferencijacije i evolucije životinja kroz genomiku bazalnih metazoa (BAMGEN) (Vlahoviček, Kristian, HRZZ - 2014-09) ( CroRIS)
--KK.01.1.1.01.009 - Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima (DATACROSS) (Šmuc, Tomislav; Lončarić, Sven; Petrović, Ivan; Jokić, Andrej; Palunko, Ivana) ( CroRIS)
EK-KF-KK.01.1.1.01.0010 - Znanstveni centar izvrsnosti za personaliziranu brigu o zdravlju (ZCIPersonHealth) (Polašek, Ozren; Secenji, Aleksandar, EK ) ( CroRIS)
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Rosa Karlić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus