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Updated: Aug 26, 2025
Optimization of a Multiplex RNA-based Expression Assay Using Breast Cancer Archival Material
Published on: August 1, 2018
Identification and analysis of dysregulated fatty acid metabolism genes in breast cancer subtypes
Umar Yousuf1, Shazia Sofi1, Aanisa Makhdoomi1
1Department of Bioresources, School of Biological Sciences, University of Kashmir, Srinagar, J&K, 190006, India.
Abstract:
Breast cancer is one of the most aggressive and lethal types of transformation among women. An anomaly of normal fatty acid metabolism is acknowledged as a critical trigger for malignant transformations including breast cancer, but the prospect of targeting fatty acid metabolism for the treatment of malignancy has remained unrecognized so far. It has been observed that specific fatty acid metabolism genes are involved in the commencement and development of breast cancer. These specific genes have also been observed to be related to different isotypes/molecular subtypes of breast cancer. The main purpose of this study was to scrutinize the prognostic significance, functional role, and expression pattern of fatty acid metabolism genes. In-Silico tools like TCGA BrCA, Gepia2, Ualcan Analysis, UCSC Xena, Kaplan-Meier plotter, Bc-gene EXminer, String, gene ontology, and KEGG databases, were used to assess the expression pattern of the fatty acid metabolism genes in breast cancer patients and also among the different molecular sub-types of breast cancer. Differential gene expression analysis revealed dysregulation of FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, and ACOX2 showing a fold change > ± 1.5. Also, most of these genes show downregulation in Ualcan analysis of different isotypes/molecular subtypes of breast cancer. The study reveals that the screened genes i.e., FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, and ACOX2 can be used as biomarkers that reveal poor prognosis and may serve as therapeutic targets for the treatment of breast cancer.
Insights
Anomalies in fatty acid metabolism genes are linked to breast cancer development. Researchers identified specific genes (FABP4, FABP5, etc.) as potential biomarkers for poor prognosis and therapeutic targets in breast cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Breast cancer is a leading cause of death in women, with altered fatty acid metabolism implicated in its development.
- Targeting fatty acid metabolism pathways presents a potential, yet underexplored, therapeutic strategy for breast cancer.
- Specific fatty acid metabolism genes are known to influence breast cancer initiation, progression, and molecular subtypes.
Purpose of the Study:
- To investigate the prognostic significance, functional roles, and expression patterns of key fatty acid metabolism genes in breast cancer.
- To identify potential diagnostic biomarkers and therapeutic targets within the fatty acid metabolism pathway.
- To analyze the association of these genes with different molecular subtypes of breast cancer.
Main Methods:
- Utilized in-silico tools including TCGA BrCA, Gepia2, Ualcan Analysis, UCSC Xena, Kaplan-Meier plotter, Bc-gene EXminer, String, Gene Ontology, and KEGG databases.
- Performed differential gene expression analysis to identify dysregulated fatty acid metabolism genes.
- Assessed gene expression patterns across various breast cancer molecular subtypes.
Main Results:
- Dysregulation (fold change > ±1.5) of several fatty acid metabolism genes (FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, ACOX2) was observed.
- Most of the identified genes exhibited downregulation in different breast cancer molecular subtypes, as indicated by Ualcan analysis.
- The expression patterns suggest a significant role for these genes in breast cancer pathogenesis.
Conclusions:
- The screened fatty acid metabolism genes (FABP4, FABP5, PLIN1, PLIN2, PLIN4, PLIN5, LPIN1, MGLL, PNPLA2, PNPLA7, ACSL1, ACOX2) can serve as potential biomarkers for poor prognosis in breast cancer.
- These genes represent promising therapeutic targets for developing novel breast cancer treatments.
- Further research into targeting fatty acid metabolism pathways could lead to improved clinical outcomes for breast cancer patients.
