Helen B. Gomig

Curitiba, PR, Brazil

Last Updated: 09/26/2026

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Found 10 publications

Functional profiling of the chaperone systems interactome in breast cancer using experimental and machine-learning data.

Functional profiling of the chaperone systems interactome in breast cancer using experimental and machine-learning data.

Journal: Computational biology and chemistry

Published: July 24, 2025

Peptidomics and Machine Learning-based Evaluation of Noncoding RNA-Derived Micropeptides in Breast Cancer: Expression Patterns and Functional/Therapeutic Insights.

Peptidomics and Machine Learning-based Evaluation of Noncoding RNA-Derived Micropeptides in Breast Cancer: Expression Patterns and Functional/Therapeutic Insights.

Journal: Laboratory investigation; a journal of technical methods and pathology

Published: May 23, 2024

Stress-induced phosphoprotein 1: how does this co-chaperone influence the metastasis steps?

Stress-induced phosphoprotein 1: how does this co-chaperone influence the metastasis steps?

Journal: Clinical & experimental metastasis

Published: January 25, 2024

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

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

Journal: Journal of proteomics

Published: February 01, 2023

Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance.

Biomarker potential of the LEF1/TCF family members in breast cancer: Bioinformatic investigation on expression and clinical significance.

Journal: Genetics and molecular biology

Published: November 11, 2022

Comprehensive analysis of the large and small ribosomal proteins in breast cancer: Insights on proteomic and transcriptomic expression patterns, regulation, mutational landscape, and prognostic significance.

Comprehensive analysis of the large and small ribosomal proteins in breast cancer: Insights on proteomic and transcriptomic expression patterns, regulation, mutational landscape, and prognostic significance.

Journal: Computational biology and chemistry

Published: April 30, 2022

Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer.

Integrated analysis of label-free quantitative proteomics and bioinformatics reveal insights into signaling pathways in male breast cancer.

Journal: Genetics and molecular biology

Published: January 12, 2020

High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data.

High-throughput mass spectrometry and bioinformatics analysis of breast cancer proteomic data.

Journal: Data in brief

Published: February 27, 2019

Quantitative label-free mass spectrometry using contralateral and adjacent breast tissues reveal differentially expressed proteins and their predicted impacts on pathways and cellular functions in breast cancer.

Quantitative label-free mass spectrometry using contralateral and adjacent breast tissues reveal differentially expressed proteins and their predicted impacts on pathways and cellular functions in breast cancer.

Journal: Journal of proteomics

Published: August 27, 2018

Comparative Proteomics of Tumor and Paired Normal Breast Tissue Highlights Potential Biomarkers in Breast Cancer.

Comparative Proteomics of Tumor and Paired Normal Breast Tissue Highlights Potential Biomarkers in Breast Cancer.

Journal: Cancer genomics & proteomics

Published: September 30, 2015

Showing 1-10 of 10

Last Updated: 09/26/2026