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Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases

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The Predictive Role of Serum Lipid Levels, p53 and ki-67, According to Molecular Subtypes in Breast Cancer: A

Ionut Flaviu Faur^1,2,3, Amadeus Dobrescu^1,2, Ioana Adelina Clim⁴

¹IInd Surgery Clinic, Timisoara Emergency County Hospital, 300723 Timisoara, Romania.

International Journal of Molecular Sciences

|April 13, 2024

Summary

This study identifies lipid profile components as potential biomarkers for predicting breast cancer treatment response. High HDL-C before neoadjuvant chemotherapy (NAC) and increased LDL-C after NAC correlate with better outcomes in specific subtypes.

Keywords:

BRCA HDL-C KI-67 biomarker molecular subtype neoadjuvant therapy p53

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Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material

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Published on: August 1, 2018

Area of Science:

Oncology
Biochemistry
Genetics

Background:

Dyslipidemia is linked to various cancers, but its role in breast cancer prognosis is understudied.
Lipid profile alterations may serve as predictive biomarkers for breast cancer treatment response.

Purpose of the Study:

To evaluate the predictive potential of lipid profile components in breast cancer patients undergoing neoadjuvant therapy (NAC).
To identify novel biomarkers for treatment response and survival outcomes.

Main Methods:

Lipid profiles (HDL-C, LDL-C) were analyzed pre-NAC, post-NAC, and 6 months post-NAC in 142 patients.
TP53 mutation status and Ki-67 (mitotic index) were assessed.
Multivariate analysis was used to determine predictive factors for overall survival (OS), disease-free survival (DFS), and treatment response.

Main Results:

Tumor grading, Ki-67, p53, and lymph node metastases predicted OS; tumor size, grading, Ki-67 > 14%, and p53+ predicted DFS.
In triple-negative breast cancer (TNBC), increased tumor volume and HDL levels pre-NAC predicted response to NAC.
High HDL-C pre-NAC and elevated LDL-C post-NAC were associated with better treatment response in ER-positive and HER2+ subtypes.

Conclusions:

Lipid profile parameters, particularly HDL-C and LDL-C levels, alongside tumor characteristics, can predict breast cancer response to NAC.
These findings highlight the potential of integrating lipid profiles into breast cancer management strategies for personalized treatment.