E. M. de Souza Fonseca Ribeiro

Comparative proteomics of primary breast carcinomas and lymph node metastases outlining markers of tumor invasion.

I. Cavalli, H. Milioli, Karla Santos Sousa, 2015, Cancer genomics & proteomics.

Allelic variants of XRCC1 and XRCC3 repair genes and susceptibility of oral cancer in Brazilian patients.

S. Rogatto, I. Cavalli, E. M. de Souza Fonseca Ribeiro, 2013, Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology.

High frequency of t(12;21)(p13;q22) in children with acute lymphoblastic leukemia and known clinical outcome in southern Brazil.

B. Haddad, I. Cavalli, L. Cavalli, 2004, Leukemia research.

When guidelines face reality — Lynch syndrome screening in the setting of public health system in a developing country

S. Ioshii, E. M. de Souza Fonseca Ribeiro, V. Kozak, 2021, Journal of community genetics.

A novel lncRNA derived from an ultraconserved region: lnc-uc.147, a potential biomarker in luminal A breast cancer

C. Ivan, Erik Knutsen, R. Bayraktar, 2021, RNA biology.

Highlighting transcribed ultraconserved regions in human diseases

G. Calin, E. M. de Souza Fonseca Ribeiro, C. Mathias, 2020, Wiley interdisciplinary reviews. RNA.

Concomitant loss of heterozygosity at the BRCA1 and FHIT genes as a prognostic factor in sporadic breast cancer.

I. Cavalli, L. Cavalli, E. M. de Souza Fonseca Ribeiro, 2010, Cancer genetics and cytogenetics.

Differential loss of heterozygosity profile on chromosome 3p in ductal and lobular breast carcinomas.

I. Cavalli, R. Lima, L. Cavalli, 2012, Human pathology.

Extracellular vesicles from triple-negative breast cancer cells promote proliferation and drug resistance in non-tumorigenic breast cells

I. Cavalli, L. Cavalli, E. M. de Souza Fonseca Ribeiro, 2018, Breast Cancer Research and Treatment.

LncRNA-SNPs in a Brazilian Breast Cancer Cohort: A Case-Control Study

E. M. de Souza Fonseca Ribeiro, A. Marin, M. H. Beltrame, 2023, Genes.

High-throughput proteomics of breast cancer subtypes: Biological characterization and multiple candidate biomarker panels to patients' stratification.

I. Cavalli, C. Spautz, E. M. de Souza Fonseca Ribeiro, 2023, Journal of proteomics.