Bayesian networks established functional differences between breast cancer subtypes.
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ABSTRACT:
SUBMITTER: Trilla-Fuertes L
PROVIDER: S-EPMC7289386 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Bayesian networks established functional differences between breast cancer subtypes.
Trilla-Fuertes Lucía L Gámez-Pozo Angelo A Arevalillo Jorge M JM López-Vacas Rocío R López-Camacho Elena E Prado-Vázquez Guillermo G Zapater-Moros Andrea A Díaz-Almirón Mariana M Ferrer-Gómez María M Navarro Hilario H Nanni Paolo P Zamora Pilar P Espinosa Enrique E Maín Paloma P Fresno Vara Juan Ángel JÁ
PloS one 20200611 6
Breast cancer is a heterogeneous disease. In clinical practice, tumors are classified as hormonal receptor positive, Her2 positive and triple negative tumors. In previous works, our group defined a new hormonal receptor positive subgroup, the TN-like subtype, which had a prognosis and a molecular profile more similar to triple negative tumors. In this study, proteomics and Bayesian networks were used to characterize protein relationships in 96 breast tumor samples. Components obtained by these m ...[more]
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