Editorial: 365 days of progress in cancer genetics

Authors: Magdalena Ratajska, Claudio Sette, Heather E. Cunliffe

Source: Frontiers in Oncology, Vol 13 (2023)

Subject Terms: cancer genetics, genomics, neoantigens, immunotherapy, prognosis biomarkers, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fonc.2023.1270902/full; https://doaj.org/toc/2234-943X

Access URL: https://doaj.org/article/c24e6c2b3aa749a991359b8fdf85cdae

The oncogene AAMDC links PI3K-AKT-mTOR signaling with metabolic reprograming in estrogen receptor-positive breast cancer

Authors: Emily Golden, Rabab Rashwan, Eleanor A. Woodward, Agustin Sgro, Edina Wang, Anabel Sorolla, Charlene Waryah, Wan Jun Tie, Elisabet Cuyàs, Magdalena Ratajska, Iwona Kardaś, Piotr Kozlowski, Elizabeth K. M. Johnstone, Heng B. See, Ciara Duffy, Jeremy Parry, Kim A. Lagerborg, Piotr Czapiewski, Javier A. Menendez, Adam Gorczyński, Bartosz Wasag, Kevin D. G. Pfleger, Christina Curtis, Bum-Kyu Lee, Jonghwan Kim, Joseph Cursons, Nathan J. Pavlos, Wojciech Biernat, Mohit Jain, Andrew J. Woo, Andrew Redfern, Pilar Blancafort

Source: Nature Communications, Vol 12, Iss 1, Pp 1-22 (2021)

Subject Terms: Science

File Description: electronic resource

Relation: https://doaj.org/toc/2041-1723

Access URL: https://doaj.org/article/7a78efc95f94434186efe33c5a90c19a

BRIP1, RAD51C, and RAD51D mutations are associated with high susceptibility to ovarian cancer: mutation prevalence and precise risk estimates based on a pooled analysis of ~30,000 cases

Authors: Malwina Suszynska, Magdalena Ratajska, Piotr Kozlowski

Source: Journal of Ovarian Research, Vol 13, Iss 1, Pp 1-11 (2020)

Subject Terms: BRIP1, RAD51C, RAD51D, Meta-analysis, Ovarian cancer risk, Gynecology and obstetrics, RG1-991

File Description: electronic resource

Relation: http://link.springer.com/article/10.1186/s13048-020-00654-3; https://doaj.org/toc/1757-2215

Access URL: https://doaj.org/article/7b86ef32c26742039dc03c8d7be3d606

Bayesian multilevel model of micro RNA levels in ovarian-cancer and healthy subjects.

Authors: Paweł Wiczling, Emilia Daghir-Wojtkowiak, Roman Kaliszan, Michał Jan Markuszewski, Janusz Limon, Magdalena Koczkowska, Maciej Stukan, Alina Kuźniacka, Magdalena Ratajska

Source: PLoS ONE, Vol 14, Iss 8, p e0221764 (2019)

Subject Terms: Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/1932-6203

Access URL: https://doaj.org/article/5ae0a982b7ee40058c1942e81c266fdd